CN117314169A - Input risk early warning method for new pollutant source of underground water of production enterprise - Google Patents
Input risk early warning method for new pollutant source of underground water of production enterprise Download PDFInfo
- Publication number
- CN117314169A CN117314169A CN202311360567.5A CN202311360567A CN117314169A CN 117314169 A CN117314169 A CN 117314169A CN 202311360567 A CN202311360567 A CN 202311360567A CN 117314169 A CN117314169 A CN 117314169A
- Authority
- CN
- China
- Prior art keywords
- data
- early warning
- risk
- soil
- water quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 270
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 74
- 239000003344 environmental pollutant Substances 0.000 title claims abstract description 40
- 231100000719 pollutant Toxicity 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 123
- 239000002689 soil Substances 0.000 claims abstract description 105
- 230000007613 environmental effect Effects 0.000 claims description 53
- 239000000428 dust Substances 0.000 claims description 22
- 238000012544 monitoring process Methods 0.000 claims description 20
- 239000003802 soil pollutant Substances 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 18
- 239000003673 groundwater Substances 0.000 claims description 16
- 239000000809 air pollutant Substances 0.000 claims description 15
- 231100001243 air pollutant Toxicity 0.000 claims description 15
- 238000003860 storage Methods 0.000 claims description 13
- 230000007246 mechanism Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 10
- 230000002452 interceptive effect Effects 0.000 claims description 10
- 238000003825 pressing Methods 0.000 claims description 8
- 238000003915 air pollution Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 claims description 7
- 238000003900 soil pollution Methods 0.000 claims description 7
- 238000011897 real-time detection Methods 0.000 abstract description 4
- 230000001960 triggered effect Effects 0.000 description 10
- 239000010865 sewage Substances 0.000 description 8
- 238000011109 contamination Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000006386 neutralization reaction Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000001556 precipitation Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000003911 water pollution Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention discloses a method for early warning input risk of new pollutant sources in underground water of a production enterprise, which comprises the following steps: acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data; acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data; and carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result. The invention can realize real-time detection of new pollution sources of underground water, and realize omnibearing detection and early warning from the usual production stage to the water supply stage of enterprises so as to ensure the water use safety of the enterprises and the water use safety of staff and avoid water hazard danger.
Description
Technical Field
The invention relates to the technical field of production management and pollution early warning, in particular to a method for inputting new pollutant sources into underground water of a production enterprise for early warning.
Background
For enterprises, especially production enterprises such as parks or production areas, the daily water consumption is huge, and the water supply safety is more required to be concerned on the premise of ensuring enough water supply.
Therefore, in the daily production operation process, the risk early warning of how to comprehensively carry out new pollutants of the underground water is in the research direction of enterprises.
Disclosure of Invention
The invention aims to provide a method and a system for inputting risk early warning of new pollution sources of underground water in enterprises, which can realize real-time detection of the new pollution sources of the underground water, realize omnibearing detection early warning from the usual production stage to the water supply stage of the enterprises so as to ensure the water use safety of the enterprises and the water use safety of staff so as to avoid water hazard risks.
The invention provides a method for early warning input risk of new pollutant sources in underground water of enterprises, which comprises the following steps:
acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data;
and carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
In this scheme, obtain first early warning data, specifically include:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
and obtaining the first early warning data based on the user data, the soil data and the environment data.
In this scheme, the obtaining the input data of the user terminal to obtain the user data specifically includes:
acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
and acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
In this scheme, acquire second early warning data, specifically include:
acquiring water-taking layer water quality detection data based on in-tank water quality detection equipment arranged in a water-taking tank; and acquiring water outlet water quality detection data based on outlet water quality detection equipment arranged at the water outlet;
And obtaining the second early warning data based on the water quality detection data of the water intake layer and the water quality detection data of the water outlet.
In this scheme, based on first early warning data and second early warning data carries out data detection and compares in order to output risk early warning data, specifically includes:
identifying an input risk level based on the input data, and taking the input data as one of risk early warning data if the input risk level exceeds a safety input level;
identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value;
identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value;
and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
In this scheme, the data level based on the corresponding comparison result carries out multi-device early warning, specifically includes:
extracting corresponding types of risk early warning data based on the comparison result, wherein the risk types comprise input risks, soil risks, environment risks and water quality risks;
and carrying out multi-device early warning based on a grade matching early warning mechanism of the corresponding risk types, wherein the risk types meeting the multi-device early warning mechanism comprise input risks, environment risks and water quality risks, and the multi-device at least comprises the interaction equipment, the processing terminal, sound equipment of a production area and user wearing equipment.
The second aspect of the present invention also provides a system for early warning input risk of new pollution sources in underground water of a producer, comprising a memory and a processor, wherein the memory comprises a program for early warning input risk of new pollution sources in underground water of a producer, and the processor executes the program for early warning input risk of new pollution sources in underground water of a producer, comprising the following steps:
acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data;
And carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
In this scheme, obtain first early warning data, specifically include:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
and obtaining the first early warning data based on the user data, the soil data and the environment data.
In this scheme, the obtaining the input data of the user terminal to obtain the user data specifically includes:
acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
And acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
In this scheme, acquire second early warning data, specifically include:
acquiring water-taking layer water quality detection data based on in-tank water quality detection equipment arranged in a water-taking tank; and
acquiring water quality detection data of a water outlet based on outlet water quality detection equipment arranged at the water outlet;
and obtaining the second early warning data based on the water quality detection data of the water intake layer and the water quality detection data of the water outlet.
In this scheme, based on first early warning data and second early warning data carries out data detection and compares in order to output risk early warning data, specifically includes:
identifying an input risk level based on the input data, and taking the input data as one of risk early warning data if the input risk level exceeds a safety input level;
identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value;
Identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value;
and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
In this scheme, the data level based on the corresponding comparison result carries out multi-device early warning, specifically includes:
extracting corresponding types of risk early warning data based on the comparison result, wherein the risk types comprise input risks, soil risks, environment risks and water quality risks;
and carrying out multi-device early warning based on a grade matching early warning mechanism of the corresponding risk types, wherein the risk types meeting the multi-device early warning mechanism comprise input risks, environment risks and water quality risks, and the multi-device at least comprises the interaction equipment, the processing terminal, sound equipment of a production area and user wearing equipment.
A third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a program for a method for early warning of input risk of a new pollution source of groundwater in a manufacturing enterprise, where the program for early warning of input risk of a new pollution source of groundwater in a manufacturing enterprise, when executed by a processor, implements the steps of the method for early warning of input risk of a new pollution source of groundwater in a manufacturing enterprise according to any one of the above.
The method and the system for inputting the risk early warning of the new pollution source of the underground water in the enterprises can realize real-time detection of the new pollution source of the underground water, realize omnibearing detection early warning from the usual production stage to the water supply stage of the enterprises, and ensure the water use safety of the enterprises and the water use safety of staff so as to avoid the water hazard danger.
Drawings
FIG. 1 shows a flow chart of a method for inputting a new pollutant source into a groundwater for a production enterprise for early warning risk according to the present invention;
FIG. 2 shows a block diagram of a system for inputting new pollutant sources into risk early warning in a production enterprise.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a method for inputting risk early warning of new pollutant sources in underground water of a production enterprise.
As shown in fig. 1, the application discloses a method for inputting a new pollutant source into underground water of a producer for early warning risk, which comprises the following steps:
s102, acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
s104, acquiring second early warning data, wherein the second early warning data comprise water taking layer water quality detection data and water outlet water quality detection data;
and S106, carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
It should be noted that, in this embodiment, for a campus enterprise, because the campus is large, the personnel are more, the water consumption is also more, the water quality safety is the key point of guaranteeing the personnel safety in the campus, wherein, especially, for the risk early warning of producing enterprise groundwater, wherein, the early warning specifically includes detection before the water quality is polluted, namely corresponds to first early warning data, and detection after the water quality is polluted, namely corresponds to second early warning data, specifically, obtain first early warning data, wherein, first early warning data includes user data, soil data and environmental data and obtains second early warning data, wherein, second early warning data includes water sampling layer water quality detection data and delivery port water quality detection data, thereby carry out data detection comparison in order to output risk early warning data based on first early warning data and second early warning data, wherein, if a data detection comparison result exceeds standard, carry out multi-equipment early warning based on the data grade of the corresponding comparison result, namely indicate that different data risks can provide different early warning modes.
According to an embodiment of the present invention, the acquiring the first early warning data specifically includes:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
and obtaining the first early warning data based on the user data, the soil data and the environment data.
It should be noted that, in this embodiment, the obtained first early warning data specifically includes user data, soil data and environmental data, and specifically, input data of the user terminal is obtained to obtain the user data, that is, the surface first early warning data may be input by a user to perform early warning; the soil monitoring equipment arranged in the production area is used for acquiring the soil data, wherein the soil data at least comprises the soil pH value and the soil pollutant concentration, for example, the soil pH value is obtained through monitoring by a soil pH value sensor, and the soil pollutant concentration is acquired based on a soil pollutant concentration monitoring sensor, so that different specific pollutants can be set for different parks, and the soil data can be set according to the needs in actual application; the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration, accordingly, the environmental data can also be acquired through a sensor group, and different corresponding sensors for detecting air can also be arranged according to actual needs.
According to an embodiment of the present invention, the obtaining the input data of the user terminal to obtain the user data specifically includes:
acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
and acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
It should be noted that, in this embodiment, the user data is specifically data input or fed back by the user, and therefore, for the feedback data, the feedback data on the interactive device of the preset feedback point of the production area of the user needs to be acquired to acquire the user data, where the feedback data includes pressing data and/or voice input data, for example, a corresponding interactive device is set in the actual production factory of the campus for the user to press or input voice; for input data, input parameters of a user terminal on a preset processing terminal of an production area need to be acquired to acquire the user data, wherein the input parameters comprise input data and communication data, namely parameters input by the user processing terminal and communication data remotely transmitted by other intelligent terminals.
According to an embodiment of the present invention, the acquiring the second early warning data specifically includes:
acquiring water-taking layer water quality detection data based on in-tank water quality detection equipment arranged in a water-taking tank; and
acquiring water quality detection data of a water outlet based on outlet water quality detection equipment arranged at the water outlet;
and obtaining the second early warning data based on the water quality detection data of the water intake layer and the water quality detection data of the water outlet.
It should be noted that, in this embodiment, the second early warning data specifically includes the water intake layer water quality detection data and the water outlet water quality detection data, and specifically, a sensor may be used when detecting water quality, where the water intake layer water quality detection data is acquired based on an in-tank water quality detection device disposed in the water intake tank, for example, an in-tank water quality detection sensor; and acquiring outlet water quality detection data, such as an outlet water quality detection sensor, based on an outlet water quality detection device provided at the outlet.
According to an embodiment of the present invention, the data detection and comparison are performed based on the first early warning data and the second early warning data to output risk early warning data, which specifically includes:
Identifying an input risk level based on the input data, and taking the input data as one of risk early warning data if the input risk level exceeds a safety input level;
identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value;
identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value;
and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
It should be noted that, in this embodiment, the data detection and comparison are performed based on the first early warning data and the second early warning data to output risk early warning data, that is, after correspondingly comparing different types of data, the data exceeding the standard is used as risk early warning data, specifically, the input risk level is identified based on the input data, and if the input risk level exceeds the safety input level, the input data is used as one of the risk early warning data; identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value; identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value; and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
According to the embodiment of the invention, the multi-device early warning is performed on the data level based on the corresponding comparison result, and the method specifically comprises the following steps:
extracting corresponding types of risk early warning data based on the comparison result, wherein the risk types comprise input risks, soil risks, environment risks and water quality risks;
and carrying out multi-device early warning based on a grade matching early warning mechanism of the corresponding risk types, wherein the risk types meeting the multi-device early warning mechanism comprise input risks, environment risks and water quality risks, and the multi-device at least comprises the interaction equipment, the processing terminal, sound equipment of a production area and user wearing equipment.
It should be noted that, in this embodiment, since the risk early warning also has different risk levels, for a water pollution scenario, not only pollution of water needs to be considered by pollutants, but also damage of the pollutants to a human body needs to be considered, so that multi-device early warning can be performed according to a specific risk type, accordingly, the risk type meeting the multi-device early warning mechanism includes input risk, environmental risk and water quality risk, and the multi-device at least includes the interaction device, the processing terminal, the acoustic device of the production area and the user wearing device.
According to an embodiment of the present invention, further comprising:
according to the first early warning data, detecting data information before the water quality is polluted is obtained;
extracting characteristic values in the detection data information before the water quality is polluted;
judging whether the characteristic value in the detection data information before the water quality is polluted is in a corresponding preset first characteristic range, and if not, triggering the water quality warning information of the first early warning data; if so, the corresponding water quality is normal;
and sending the water quality warning information of the first early warning data to a preset terminal for visual display.
The characteristic values in the detection data information before the water quality is polluted comprise the pH value, the pollutant concentration and the like of the corresponding water quality, wherein when the characteristic value in the detection data information before the water quality is polluted is larger than the corresponding preset first characteristic threshold value, the corresponding water quality is indicated to be polluted before the sewage is discharged by the enterprise, the corresponding first early warning data are recorded, and the water quality warning of the first early warning data is carried out, for example, when the characteristic value is the pH value of the water quality, the corresponding preset first characteristic range is set asIf the PH value in the detection data information before the water quality is polluted is more than 8.5 or less than 6.5, the detection data information is set as abnormal water quality, and the water quality warning information of the first early warning data is triggered, wherein the preset first characteristic range is set according to the corresponding specification and is higher than the corresponding specification requirement.
According to the embodiment of the invention, the step of extracting the risk early warning data of the corresponding type based on the comparison result specifically comprises the following steps:
extracting characteristic values of the first early warning data and characteristic values of the second early warning data;
performing difference calculation on the characteristic value of the first early warning data and the characteristic value of the second early warning data according to the same characteristic to obtain a characteristic difference value of the same characteristic;
judging whether the feature difference value of the same feature is larger than a preset second feature threshold value of the corresponding feature, if so, extracting the feature difference value larger than the preset second feature threshold value of the corresponding feature;
and obtaining risk early warning data of a corresponding type according to the characteristic difference value of the preset second characteristic threshold value larger than the corresponding characteristic.
It should be noted that, different characteristic values corresponding to different early warning data, such as soil data, the corresponding characteristic values include the ph value of soil, the porosity of soil, etc., the pollution degree of the sewage and the nearby pollution caused by the sewage of the enterprises at present is determined by comparing the characteristic value of the first early warning data with the characteristic value of the second early warning data, wherein when the characteristic difference value is greater than the preset second characteristic threshold value of the corresponding characteristic, the concentration value of the corresponding characteristic after the sewage is discharged is obviously improved, therefore, the risk early warning of the corresponding type of the characteristic difference value is extracted, such as the ph value difference value of soil is greater than the preset second characteristic threshold value of the corresponding ph value, and the corresponding soil risk early warning data is extracted.
According to an example of the present invention, further comprising:
when the risk early warning is triggered, extracting corresponding types of risk early warning data;
according to the risk early warning data of the corresponding type, obtaining the corresponding characteristic type when triggering the early warning information;
determining the type of pollutants corresponding to the water quality of the water outlet according to the corresponding characteristic type when the early warning information is triggered;
according to the pollutant types corresponding to the water quality of the water outlet, the electric valve of the corresponding type is triggered to treat the corresponding pollutants.
It should be noted that, reverse thrust is performed from the start of triggering risk early warning, corresponding type of risk early warning data is found when the risk early warning is triggered, then characteristic values in the corresponding type of risk early warning data are extracted, corresponding pollutant types are found according to the characteristic values in the corresponding type of risk early warning data, different pollutant types correspond to different pollutant treatment methods, such as a precipitation method, a neutralization method and the like, and water quality at a water outlet is subjected to corresponding pollutant treatment and then discharged.
FIG. 2 shows a block diagram of a system for inputting new pollutant sources into risk early warning in a production enterprise.
As shown in fig. 2, the invention discloses a system for inputting a new pollution source into underground water of a producing enterprise, which comprises a memory and a processor, wherein the memory comprises a program for inputting a risk early warning method into the new pollution source of underground water of the producing enterprise, and the program for inputting the risk early warning method into the new pollution source of underground water of the producing enterprise is executed by the processor and realizes the following steps:
Acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data;
and carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
It should be noted that, in this embodiment, for a campus enterprise, because the campus is large, the personnel are more, the water consumption is also more, the water quality safety is the key point of guaranteeing the personnel safety in the campus, wherein, especially, for the risk early warning of producing enterprise groundwater, wherein, the early warning specifically includes detection before the water quality is polluted, namely corresponds to first early warning data, and detection after the water quality is polluted, namely corresponds to second early warning data, specifically, obtain first early warning data, wherein, first early warning data includes user data, soil data and environmental data and obtains second early warning data, wherein, second early warning data includes water sampling layer water quality detection data and delivery port water quality detection data, thereby carry out data detection comparison in order to output risk early warning data based on first early warning data and second early warning data, wherein, if a data detection comparison result exceeds standard, carry out multi-equipment early warning based on the data grade of the corresponding comparison result, namely indicate that different data risks can provide different early warning modes.
According to an embodiment of the present invention, the acquiring the first early warning data specifically includes:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
and obtaining the first early warning data based on the user data, the soil data and the environment data.
It should be noted that, in this embodiment, the obtained first early warning data specifically includes user data, soil data and environmental data, and specifically, input data of the user terminal is obtained to obtain the user data, that is, the surface first early warning data may be input by a user to perform early warning; the soil monitoring equipment arranged in the production area is used for acquiring the soil data, wherein the soil data at least comprises the soil pH value and the soil pollutant concentration, for example, the soil pH value is obtained through monitoring by a soil pH value sensor, and the soil pollutant concentration is acquired based on a soil pollutant concentration monitoring sensor, so that different specific pollutants can be set for different parks, and the soil data can be set according to the needs in actual application; the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration, accordingly, the environmental data can also be acquired through a sensor group, and different corresponding sensors for detecting air can also be arranged according to actual needs.
According to an embodiment of the present invention, the obtaining the input data of the user terminal to obtain the user data specifically includes:
acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
and acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
It should be noted that, in this embodiment, the user data is specifically data input or fed back by the user, and therefore, for the feedback data, the feedback data on the interactive device of the preset feedback point of the production area of the user needs to be acquired to acquire the user data, where the feedback data includes pressing data and/or voice input data, for example, a corresponding interactive device is set in the actual production factory of the campus for the user to press or input voice; for input data, input parameters of a user terminal on a preset processing terminal of an production area need to be acquired to acquire the user data, wherein the input parameters comprise input data and communication data, namely parameters input by the user processing terminal and communication data remotely transmitted by other intelligent terminals.
According to an embodiment of the present invention, the acquiring the second early warning data specifically includes:
acquiring water-taking layer water quality detection data based on in-tank water quality detection equipment arranged in a water-taking tank; and
acquiring water quality detection data of a water outlet based on outlet water quality detection equipment arranged at the water outlet;
and obtaining the second early warning data based on the water quality detection data of the water intake layer and the water quality detection data of the water outlet.
It should be noted that, in this embodiment, the second early warning data specifically includes the water intake layer water quality detection data and the water outlet water quality detection data, and specifically, a sensor may be used when detecting water quality, where the water intake layer water quality detection data is acquired based on an in-tank water quality detection device disposed in the water intake tank, for example, an in-tank water quality detection sensor; and acquiring outlet water quality detection data, such as an outlet water quality detection sensor, based on an outlet water quality detection device provided at the outlet.
According to an embodiment of the present invention, the data detection and comparison are performed based on the first early warning data and the second early warning data to output risk early warning data, which specifically includes:
Identifying an input risk level based on the input data, and taking the input data as one of risk early warning data if the input risk level exceeds a safety input level;
identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value;
identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value;
and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
It should be noted that, in this embodiment, the data detection and comparison are performed based on the first early warning data and the second early warning data to output risk early warning data, that is, after correspondingly comparing different types of data, the data exceeding the standard is used as risk early warning data, specifically, the input risk level is identified based on the input data, and if the input risk level exceeds the safety input level, the input data is used as one of the risk early warning data; identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value; identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value; and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
According to the embodiment of the invention, the multi-device early warning is performed on the data level based on the corresponding comparison result, and the method specifically comprises the following steps:
extracting corresponding types of risk early warning data based on the comparison result, wherein the risk types comprise input risks, soil risks, environment risks and water quality risks;
and carrying out multi-device early warning based on a grade matching early warning mechanism of the corresponding risk types, wherein the risk types meeting the multi-device early warning mechanism comprise input risks, environment risks and water quality risks, and the multi-device at least comprises the interaction equipment, the processing terminal, sound equipment of a production area and user wearing equipment.
It should be noted that, in this embodiment, since the risk early warning also has different risk levels, for a water pollution scenario, not only pollution of water needs to be considered by pollutants, but also damage of the pollutants to a human body needs to be considered, so that multi-device early warning can be performed according to a specific risk type, accordingly, the risk type meeting the multi-device early warning mechanism includes input risk, environmental risk and water quality risk, and the multi-device at least includes the interaction device, the processing terminal, the acoustic device of the production area and the user wearing device.
According to an embodiment of the present invention, further comprising:
according to the first early warning data, detecting data information before the water quality is polluted is obtained;
extracting characteristic values in the detection data information before the water quality is polluted;
judging whether the characteristic value in the detection data information before the water quality is polluted is in a corresponding preset first characteristic range, and if not, triggering the water quality warning information of the first early warning data; if so, the corresponding water quality is normal;
and sending the water quality warning information of the first early warning data to a preset terminal for visual display.
The characteristic values in the detection data information before the water quality is polluted comprise the pH value, the pollutant concentration and the like of the corresponding water quality, wherein when the characteristic value in the detection data information before the water quality is polluted is larger than the corresponding preset first characteristic threshold value, the corresponding water quality is indicated to be polluted before the sewage is discharged by the enterprise, the corresponding first early warning data are recorded, and the water quality warning of the first early warning data is carried out, for example, when the characteristic value is the pH value of the water quality, the corresponding preset first characteristic range is set asIf the PH value in the detection data information before the water quality is polluted is more than 8.5 or less than 6.5, the detection data information is set as abnormal water quality, and the water quality warning information of the first early warning data is triggered, wherein the preset first characteristic range is set according to the corresponding specification and is higher than the corresponding specification requirement.
According to the embodiment of the invention, the step of extracting the risk early warning data of the corresponding type based on the comparison result specifically comprises the following steps:
extracting characteristic values of the first early warning data and characteristic values of the second early warning data;
performing difference calculation on the characteristic value of the first early warning data and the characteristic value of the second early warning data according to the same characteristic to obtain a characteristic difference value of the same characteristic;
judging whether the feature difference value of the same feature is larger than a preset second feature threshold value of the corresponding feature, if so, extracting the feature difference value larger than the preset second feature threshold value of the corresponding feature;
and obtaining risk early warning data of a corresponding type according to the characteristic difference value of the preset second characteristic threshold value larger than the corresponding characteristic.
It should be noted that, different characteristic values corresponding to different early warning data, such as soil data, the corresponding characteristic values include the ph value of soil, the porosity of soil, etc., the pollution degree of the sewage and the nearby pollution caused by the sewage of the enterprises at present is determined by comparing the characteristic value of the first early warning data with the characteristic value of the second early warning data, wherein when the characteristic difference value is greater than the preset second characteristic threshold value of the corresponding characteristic, the concentration value of the corresponding characteristic after the sewage is discharged is obviously improved, therefore, the risk early warning of the corresponding type of the characteristic difference value is extracted, such as the ph value difference value of soil is greater than the preset second characteristic threshold value of the corresponding ph value, and the corresponding soil risk early warning data is extracted.
According to an example of the present invention, further comprising:
when the risk early warning is triggered, extracting corresponding types of risk early warning data;
according to the risk early warning data of the corresponding type, obtaining the corresponding characteristic type when triggering the early warning information;
determining the type of pollutants corresponding to the water quality of the water outlet according to the corresponding characteristic type when the early warning information is triggered;
according to the pollutant types corresponding to the water quality of the water outlet, the electric valve of the corresponding type is triggered to treat the corresponding pollutants.
It should be noted that, reverse thrust is performed from the start of triggering risk early warning, corresponding type of risk early warning data is found when the risk early warning is triggered, then characteristic values in the corresponding type of risk early warning data are extracted, corresponding pollutant types are found according to the characteristic values in the corresponding type of risk early warning data, different pollutant types correspond to different pollutant treatment methods, such as a precipitation method, a neutralization method and the like, and water quality at a water outlet is subjected to corresponding pollutant treatment and then discharged.
A third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a program for performing a method for early warning of input risk of a new contamination source in groundwater in a manufacturing enterprise, where the program for early warning of input risk of a new contamination source in groundwater in a manufacturing enterprise, when executed by a processor, performs the steps of a method for early warning of input risk of a new contamination source in groundwater in a manufacturing enterprise as described in any one of the above.
The method and the system for inputting the risk early warning of the new pollution source of the underground water in the enterprises can realize real-time detection of the new pollution source of the underground water, realize omnibearing detection early warning from the usual production stage to the water supply stage of the enterprises, and ensure the water use safety of the enterprises and the water use safety of staff so as to avoid the water hazard danger.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. The method for inputting the new pollutant source into the underground water of the production enterprise for risk early warning is characterized by comprising the following steps:
acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data;
and carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
2. The method for early warning input risk of new pollutant sources in groundwater in a production enterprise according to claim 1, wherein the acquiring the first early warning data specifically comprises:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
And obtaining the first early warning data based on the user data, the soil data and the environment data.
3. The method for early warning input risk of new pollutant sources in groundwater in a production enterprise according to claim 2, wherein the obtaining input data of a user side to obtain the user data specifically comprises:
acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
and acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
4. The method for inputting risk early warning of new pollutant sources in underground water of a producing enterprise according to claim 3, wherein the obtaining the second early warning data specifically comprises:
acquiring water-taking layer water quality detection data based on in-tank water quality detection equipment arranged in a water-taking tank; and
acquiring water quality detection data of a water outlet based on outlet water quality detection equipment arranged at the water outlet;
and obtaining the second early warning data based on the water quality detection data of the water intake layer and the water quality detection data of the water outlet.
5. The method for inputting risk early warning of new pollutant sources in underground water of a producing enterprise according to claim 4, wherein the data detection and comparison are performed based on the first early warning data and the second early warning data to output risk early warning data, specifically comprising:
identifying an input risk level based on the input data, and taking the input data as one of risk early warning data if the input risk level exceeds a safety input level;
identifying a soil risk level based on the soil data, and taking the soil data as one of risk early warning data if the pH value of the soil exceeds a soil acid-base safety range and/or the concentration of soil pollutants exceeds a soil pollution safety concentration value;
identifying an environmental risk level based on the environmental data, and taking the environmental data as one of risk early warning data if the pH value of the air exceeds an air pH safety range and/or the dust concentration exceeds a dust safety concentration value and/or the air pollutant concentration exceeds an air pollution safety concentration value;
and identifying a water quality risk level based on the second early warning data, wherein if the water layer water quality detection data is lower than a water quality safety level and/or the water outlet water quality detection data is lower than the water quality safety level, the second early warning data is used as one of the risk early warning data.
6. The method for early warning input risk of new pollutant sources in groundwater in a production enterprise according to claim 5, wherein the multi-device early warning is performed based on the data level of the corresponding comparison result, specifically comprising:
extracting corresponding types of risk early warning data based on the comparison result, wherein the risk types comprise input risks, soil risks, environment risks and water quality risks;
and carrying out multi-device early warning based on a grade matching early warning mechanism of the corresponding risk types, wherein the risk types meeting the multi-device early warning mechanism comprise input risks, environment risks and water quality risks, and the multi-device at least comprises the interaction equipment, the processing terminal, sound equipment of a production area and user wearing equipment.
7. The system for inputting the risk early warning of the new pollution source of the underground water of the production enterprise is characterized by comprising a memory and a processor, wherein the memory comprises a program for inputting the risk early warning method of the new pollution source of the underground water of the production enterprise, and the program for inputting the risk early warning method of the new pollution source of the underground water of the production enterprise realizes the following steps when being executed by the processor:
acquiring first early warning data, wherein the first early warning data comprises user data, soil data and environment data;
Acquiring second early warning data, wherein the second early warning data comprises water taking layer water quality detection data and water outlet water quality detection data;
and carrying out data detection comparison based on the first early warning data and the second early warning data to output risk early warning data, wherein if one data detection comparison result exceeds the standard, multi-device early warning is carried out based on the data grade of the corresponding comparison result.
8. The system for early warning input risk of new pollution sources to underground water of a producing enterprise according to claim 7, wherein the acquiring the first early warning data specifically comprises:
acquiring input data of a user side to obtain the user data;
acquiring soil data by soil monitoring equipment arranged in a production area, wherein the soil data at least comprises soil pH value and soil pollutant concentration;
the environmental monitoring equipment arranged in the production area is acquired to acquire the environmental data, wherein the environmental data at least comprises the pH value of air, the dust concentration and the air pollutant concentration;
and obtaining the first early warning data based on the user data, the soil data and the environment data.
9. The system for early warning of input risk of new pollutant sources in groundwater in a production enterprise according to claim 8, wherein the obtaining input data of a user side to obtain the user data specifically comprises:
Acquiring feedback data of a user side on interactive equipment of a preset feedback point of a production area to acquire the user data, wherein the feedback data comprises pressing data and/or voice input data;
and acquiring input parameters of a user terminal on a production area preset processing terminal, wherein the input parameters comprise input data and communication data.
10. A computer readable storage medium, wherein the computer readable storage medium includes a method program for early warning of input risk of new pollution source of groundwater in a manufacturing enterprise, and the method program for early warning of input risk of new pollution source of groundwater in a manufacturing enterprise is executed by a processor, and the steps of the method for early warning of input risk of new pollution source of groundwater in a manufacturing enterprise according to any one of claims 1 to 6 are implemented.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311360567.5A CN117314169B (en) | 2023-10-20 | 2023-10-20 | Input risk early warning method for new pollutant source of underground water of production enterprise |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311360567.5A CN117314169B (en) | 2023-10-20 | 2023-10-20 | Input risk early warning method for new pollutant source of underground water of production enterprise |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117314169A true CN117314169A (en) | 2023-12-29 |
| CN117314169B CN117314169B (en) | 2024-05-03 |
Family
ID=89260189
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311360567.5A Active CN117314169B (en) | 2023-10-20 | 2023-10-20 | Input risk early warning method for new pollutant source of underground water of production enterprise |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117314169B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021174751A1 (en) * | 2020-03-02 | 2021-09-10 | 平安国际智慧城市科技股份有限公司 | Method, apparatus and device for locating pollution source on basis of big data, and storage medium |
| CN115660438A (en) * | 2022-10-24 | 2023-01-31 | 北京市生态环境保护科学研究院 | Industrial park soil and underground water pollution early warning grade evaluation method |
| CN115660419A (en) * | 2022-10-24 | 2023-01-31 | 北京市生态环境保护科学研究院 | Industrial park soil and underground water pollution monitoring, evaluating and early warning method |
| CN116362572A (en) * | 2023-06-02 | 2023-06-30 | 北京建工环境修复股份有限公司 | Regional and hierarchical evaluation method for groundwater pollution in production park |
-
2023
- 2023-10-20 CN CN202311360567.5A patent/CN117314169B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021174751A1 (en) * | 2020-03-02 | 2021-09-10 | 平安国际智慧城市科技股份有限公司 | Method, apparatus and device for locating pollution source on basis of big data, and storage medium |
| CN115660438A (en) * | 2022-10-24 | 2023-01-31 | 北京市生态环境保护科学研究院 | Industrial park soil and underground water pollution early warning grade evaluation method |
| CN115660419A (en) * | 2022-10-24 | 2023-01-31 | 北京市生态环境保护科学研究院 | Industrial park soil and underground water pollution monitoring, evaluating and early warning method |
| CN116362572A (en) * | 2023-06-02 | 2023-06-30 | 北京建工环境修复股份有限公司 | Regional and hierarchical evaluation method for groundwater pollution in production park |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117314169B (en) | 2024-05-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111928888B (en) | Intelligent monitoring and analyzing method and system for water pollution | |
| CN108931970A (en) | A kind of industrial park wisdom environment supervisory systems based on cloud platform technology | |
| CN111832909B (en) | Emergency response system and method for illegal sewage discharge | |
| CN109274931B (en) | Image-based construction site safety monitoring method, device and equipment | |
| CN105184938A (en) | E-commerce platform based on cloud service | |
| CN114663709B (en) | Emergency sewage treatment method, device and equipment | |
| CN108776453B (en) | Building safety monitoring system based on computer | |
| CN118445581B (en) | Sewage treatment process monitoring system and method based on data identification | |
| CN117420283A (en) | Integrated multi-channel water quality monitoring method and system | |
| CN117314169B (en) | Input risk early warning method for new pollutant source of underground water of production enterprise | |
| CN116701866A (en) | Park event linkage processing method based on Internet of things equipment | |
| KR101915933B1 (en) | Water and Atmosphere Environment Monitoring System Using Communication Controller and Cology Of Fish | |
| CN113780071B (en) | Black and odorous water body remote sensing identification system and method | |
| CN212933554U (en) | Workshop management and control system | |
| CN116939164A (en) | Security monitoring method and system | |
| CN112903946A (en) | Novel sporadic industrial wastewater collection water quality detection early warning method | |
| CN111049685A (en) | Network security sensing system, network security sensing method and device of power system | |
| CN116883928A (en) | Power operation monitoring alarm method and substation operation safety monitoring robot | |
| CN115306693A (en) | Control method, device and system for monitoring water pump system | |
| CN110796397A (en) | Alarm system and method | |
| CN115456812A (en) | Intelligent construction site management method, device, equipment and medium | |
| CN113325752B (en) | Equipment management system | |
| CN112857448A (en) | Wireless environment monitoring method and system based on Internet of things | |
| CN113436046A (en) | Environmental pollution tracing system and method based on artificial intelligence and big data | |
| CN207148603U (en) | A kind of control system of Intelligent sewage processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |