CN115729199A - Environment-friendly data online real-time monitoring system and method - Google Patents
Environment-friendly data online real-time monitoring system and method Download PDFInfo
- Publication number
- CN115729199A CN115729199A CN202211682034.4A CN202211682034A CN115729199A CN 115729199 A CN115729199 A CN 115729199A CN 202211682034 A CN202211682034 A CN 202211682034A CN 115729199 A CN115729199 A CN 115729199A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- pollution discharge
- environmental protection
- production
- 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.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an online real-time monitoring system and method for environmental protection data, which comprises a pollution discharge monitoring device, a production device monitoring device, a purifying device monitoring device, an industrial control host, a remote server and a supervision client which are arranged in a pollution discharge unit. The invention collects a plurality of environmental protection data of the sewage disposal unit, carries out comprehensive analysis and treatment, and can comprehensively and accurately monitor and manage the sewage disposal unit. The invention improves the efficiency of environmental monitoring by using a local and remote combined data analysis and processing mode. The invention sets a real and reasonable dynamic threshold value, thereby accurately judging the stealing behavior and improving the reliability of monitoring the environmental protection data. Based on the intrinsic relevance of the abnormal environment-friendly data, the method screens out critical and source abnormal equipment, filters out secondary abnormal data, and can greatly improve the efficiency of troubleshooting.
Description
Technical Field
The invention relates to the technical field of environmental protection monitoring, in particular to an online real-time monitoring system and method for environmental protection data.
Background
With the rapid development of society, environmental protection issues are receiving high attention. Environmental monitoring is the detection of the marked pollutants in a target range by using a certain device and mode so as to master the actual conditions, the variation trend and the distribution condition of the pollutants. The sewage disposal unit as the key unit for the pollution source generation should be scientifically and reasonably monitored in an environment-friendly way. However, there are a number of problems with current environmental data monitoring for pollution discharge units: the equipment for collecting and monitoring is arranged in part of pollution discharge enterprises only singly, and most enterprises only arrange pollutant monitoring equipment at a discharge outlet, so that the monitored environmental protection data has low accuracy and poor reliability, and the conditions of data counterfeiting, enterprise steal and emission and the like are difficult to find; in part of areas, in order to accurately monitor various environmental protection data of pollution discharge enterprises, massive sensing monitoring equipment is arranged in the pollution discharge enterprises, under the condition, when data are abnormal, a large amount of data are often abnormal in alarm, monitoring personnel are difficult to quickly acquire key effective information from the abnormal data, the abnormal data can only be checked one by one according to experience, the efficiency is extremely long, and the enterprise has long downtime and is more resistant to environmental protection monitoring.
For example, the invention patent CN111077865B provides a system and a method for monitoring environmental protection production load of a pollution source enterprise, which includes: the invention can accurately monitor whether the production activities of the production line in industrial production meet the requirements of emergency plans of environmental protection departments, thereby realizing pollution discharge monitoring management of factories. However, the invention does not consider the problems of authenticity and credibility of monitoring data of a pollution discharge enterprise. The invention provides an environment-friendly overall-process working condition monitoring system and a configuration method thereof, which are disclosed by CN110488773B, and the environment-friendly overall-process working condition monitoring system comprises an enterprise field data acquisition unit, a data transmission unit and a cloud platform, wherein the enterprise field data acquisition unit comprises a field configuration system data acquisition module, a first IOT gateway module, a first VLAN switch and a field central industrial personal computer, the data transmission unit comprises a second VLAN switch, a first server, a second IOT gateway module, a second server and a network switch, and the cloud platform is in data connection with the network switch. However, the invention patent does not consider the problem of how to efficiently process the abnormal environmental protection data.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems, the invention provides an online real-time monitoring system and method for environmental protection data.
The technical scheme is as follows:
the invention provides an online real-time monitoring system for environmental protection data, which comprises pollution discharge monitoring equipment, a production equipment monitoring device, a purifying equipment monitoring device, an industrial control host, a remote server and a supervision client, wherein the pollution discharge monitoring equipment, the production equipment monitoring device, the purifying equipment monitoring device and the industrial control host are arranged in a pollution discharge unit;
optionally, the sewage disposal unit is provided with a plurality of production sewage disposal lines, and each production sewage disposal line is provided with a plurality of production devices and a plurality of purification devices;
the pollution discharge monitoring equipment is arranged at the discharge port of each production equipment and each purification equipment and is used for collecting pollutant concentration data;
the industrial control host is used for carrying out preliminary analysis on the environmental protection data and numbering the pollution discharge monitoring equipment according to a production pollution discharge line where the pollution discharge monitoring equipment is located and the flow direction of production pollution discharge;
the remote server is used for analyzing whether the sewage unit steals the sewage according to the environmental protection data and screening key abnormal environmental protection data from the abnormal environmental protection data;
and the supervision client displays the key pollution discharge monitoring equipment and the key abnormal environmental protection data.
Optionally, numbering the pollution discharge monitoring equipment according to the production pollution discharge line and the production pollution discharge flow direction where the pollution discharge monitoring equipment is located, including:
the first digits of the serial numbers of all the pollution discharge monitoring devices on one production pollution discharge line are the same;
the first digits of the serial numbers of the pollution discharge monitoring equipment on different production pollution discharge lines are different;
and sequencing and numbering the second position of the serial number of the pollution discharge monitoring equipment from small to large according to the flow direction on the production pollution discharge line.
Optionally, the environmental data of the emission monitoring equipment includes pollutant concentration data;
the environment-friendly data of the production equipment monitoring device comprises the product type of the production equipment, the power consumption data of the production equipment and the output data of the production equipment in unit time;
the environmental protection data of the purifying equipment monitoring device comprise purifying equipment mode data and purifying equipment power consumption data.
Optionally, the industrial control host is configured to perform preliminary analysis on environmental protection data, including:
and the industrial control host retrieves pollutant concentration data from the environmental protection data and judges whether the pollution discharge monitoring equipment with the pollutant concentration data exceeding a preset threshold exists.
Optionally, only the key pollution discharge monitoring equipment and the key abnormal environmental protection data are displayed in a default state of the supervision client; and the residual abnormal environmental protection data and the corresponding pollution discharge monitoring equipment are folded and hidden.
In a second aspect, the present invention further provides an online real-time monitoring method for environmental protection data, which comprises the following steps:
s1, collecting environmental protection data of a sewage disposal unit, carrying out primary analysis on the environmental protection data by an industrial control host, and entering a step S2 if no sewage disposal monitoring equipment with pollutant concentration data exceeding a preset threshold exists, or entering a step S3;
s2, judging whether a sewage disposal unit steals the waste or not according to the environmental protection data;
s3, analyzing the relevance of the abnormal environment-friendly data, and screening key abnormal environment-friendly data;
s4, carrying out troubleshooting processing based on the supervision client, comprising the following steps: the remote server sends exception handling information to the supervision client;
the supervision client displays key pollution discharge monitoring equipment and key abnormal environmental protection data;
and (4) the supervisor carries out troubleshooting treatment on the nearest upper-stage production equipment and/or purification equipment of the key pollution discharge monitoring equipment.
Optionally, the step S1 includes: collecting pollution discharge monitoring equipment data, production equipment data and purification equipment data of a pollution discharge unit;
wherein the emissions monitoring device data includes pollutant concentration data;
the production equipment data comprises the product type of the production equipment, the power consumption data of the production equipment and the output data of the production equipment in unit time;
the data of the purification equipment comprises data of the mode of the purification equipment and data of the electric power used by the purification equipment.
Optionally, the step S2 includes:
s202, acquiring a current working condition model of the production equipment based on a machine learning algorithm according to the product type of the production equipment and the power consumption data of the production equipment;
optionally, step S201 is further included before step S202, collecting standard data in a historical database, where the standard data includes product types of historical production equipment of production equipment under different working condition models, power consumption data of the historical production equipment, mode data of the purification equipment, and power consumption data of the purification equipment; and obtaining the machine learning model through training and verification.
S204, acquiring a standard threshold range of the pollution discharge monitoring equipment according to the working condition model matching, and then performing correction calculation based on the yield data of the production equipment in unit time to acquire a dynamic threshold range of the pollution discharge monitoring equipment;
s206, judging whether the measured value of the pollutant concentration data of the pollution discharge monitoring equipment exceeds the standard threshold range, and if so, judging that the emission stealing condition exists in a pollution discharge unit.
Optionally, the step S3 includes:
s302, counting abnormal pollutant concentration data in a preset time period; acquiring the equipment number of the pollution discharge monitoring equipment corresponding to the abnormal pollutant concentration data;
s304, classifying according to the first digit of the equipment number, wherein the first digits of the equipment numbers of all types of pollution discharge monitoring equipment are the same;
in each type of pollution discharge monitoring equipment, the pollution discharge monitoring equipment with the second smallest equipment number is used as key pollution discharge monitoring equipment;
s306, setting the abnormal pollutant concentration data collected by the key pollution discharge monitoring equipment as key abnormal environmental protection data.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention collects a plurality of environmental protection data of the sewage disposal unit, carries out comprehensive analysis and treatment, and can comprehensively and accurately monitor and manage the sewage disposal unit.
2. According to the invention, the modes of primary analysis of the local industrial personal computer and remote analysis and processing of the remote server are adopted, and the remote server is controlled to carry out different types of analysis and processing according to the result of the local primary analysis of the industrial personal computer, so that a large amount of complex operation can be avoided, and the efficiency of analysis and processing of environment-friendly data can be improved.
3. The method comprises the steps of obtaining a working condition model of the current working of the production equipment according to the product type and the power consumption data of the production equipment, matching and obtaining a standard threshold range of the pollution discharge monitoring equipment according to the working condition model, and then carrying out correction calculation based on the yield data of the production equipment in unit time to obtain a dynamic threshold range of the pollution discharge monitoring equipment. The method can obtain a more real and reasonable dynamic threshold value, so that the stealing behavior is accurately judged, and the reliability of environment-friendly data monitoring is improved.
4. When a plurality of abnormal pollutant concentration data are monitored, key and source abnormal equipment can be screened out based on the internal relevance of the abnormal environment-friendly data, the abnormal equipment is preferentially displayed and processed, secondary abnormal data can be effectively filtered, and the efficiency of troubleshooting can be greatly improved.
Drawings
Fig. 1 is a schematic structural diagram of an online real-time monitoring system for environmental protection data according to an embodiment of the present invention;
FIG. 2 is a flowchart of an online real-time monitoring method for environmental protection data according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining whether a sewerage unit steals and discharges waste according to environmental protection data according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for screening environmental protection data with critical anomalies according to an embodiment of the present invention.
Detailed Description
It will be apparent that those skilled in the art can make many modifications and variations based on the spirit of the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element, component or section is referred to as being "connected" to another element, component or section, it can be directly connected to the other element or section or intervening elements or sections may also be present. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
the embodiment of the invention provides an online real-time monitoring system for environmental protection data, and particularly, referring to fig. 1, fig. 1 is a schematic structural diagram of the online real-time monitoring system for environmental protection data provided by the embodiment of the invention, and the system comprises a pollution discharge monitoring device, a production device monitoring device, a purification device monitoring device, an industrial control host, a remote server and a supervision client which are arranged in a pollution discharge unit;
furthermore, the sewage disposal unit is provided with a plurality of production sewage disposal lines, and each production sewage disposal line is provided with a plurality of production devices and a plurality of purification devices; fig. 1 shows only one production sewage discharge line in a sewage discharge unit by way of example, and the production equipment, the primary purification equipment and the secondary purification equipment are arranged in the line in sequence according to the flow direction of production sewage discharge; the sewage disposal unit also comprises other production sewage disposal lines, each production sewage disposal line also comprises multistage purifying equipment, and the condition that two sets of production equipment are connected in parallel to use one set of purifying equipment can also occur in some production sewage disposal lines;
the pollution discharge monitoring equipment is arranged at the discharge port of each production equipment and each purification equipment and is used for collecting pollutant concentration data;
numbering the pollution discharge monitoring equipment according to a production pollution discharge line where the pollution discharge monitoring equipment is located and the flow direction of production pollution discharge;
the industrial control host is used for carrying out preliminary analysis on the environmental protection data;
the remote server is used for analyzing whether the sewage disposal unit steals or not according to the environmental protection data and screening key abnormal environmental protection data from the abnormal environmental protection data; and the supervision client only displays the key pollution discharge monitoring equipment and the key abnormal environmental protection data in a default state.
Further, numbering the pollution discharge monitoring equipment according to the production pollution discharge line and the production pollution discharge flow direction where the pollution discharge monitoring equipment is located, comprising:
the first digits of the serial numbers of all the pollution discharge monitoring devices on one production pollution discharge line are the same;
the first digits of the serial numbers of the pollution discharge monitoring equipment on different production pollution discharge lines are different;
and numbering the second position of the serial numbers of the pollution discharge monitoring equipment from small to large according to the flow direction on the production pollution discharge line.
Further, the environmental data of the emission monitoring device includes pollutant concentration data;
the environment-friendly data of the production equipment monitoring device comprises the product type of the production equipment, the power consumption data of the production equipment and the output data of the production equipment in unit time;
the environmental protection data of the purifying equipment monitoring device comprise purifying equipment mode data and purifying equipment power consumption data.
Further, the industrial personal computer is used for carrying out preliminary analysis to environmental protection data, and includes:
and the industrial control host retrieves pollutant concentration data from the environmental protection data and judges whether the pollution discharge monitoring equipment with the pollutant concentration data exceeding a preset threshold exists.
Further, only the key pollution discharge monitoring equipment and the key abnormal environmental protection data are displayed in a default state of the supervision client; and the residual abnormal environmental protection data and the pollution discharge monitoring equipment are folded and hidden.
Example two:
the embodiment of the present invention further provides an online real-time monitoring method for environmental protection data, specifically referring to fig. 2, where fig. 2 shows that the method includes the steps of:
s1, collecting environmental protection data of a sewage disposal unit, carrying out primary analysis on the environmental protection data by an industrial control host, and entering a step S2 if no sewage disposal monitoring equipment with pollutant concentration data exceeding a preset threshold exists, or entering a step S3;
further, the step S1 includes: collecting pollution discharge monitoring equipment data, production equipment data and purification equipment data of a pollution discharge unit;
wherein the emissions monitoring equipment data comprises pollutant concentration data;
the production equipment data comprises the product type of the production equipment, the power consumption data of the production equipment and the output data of the production equipment in unit time;
the data of the purification equipment comprises data of the mode of the purification equipment and data of the electric power used by the purification equipment.
S2, judge according to the environmental protection data whether the blowdown unit steals the waste, include:
further, fig. 3 is a flowchart of a method for determining whether a sewage unit steals and discharges waste according to environmental protection data according to an embodiment of the present invention, where the method includes:
s202, acquiring a working condition model of the current work of the production equipment based on a machine learning algorithm according to the product type of the production equipment and the power consumption data of the production equipment;
further, step S201, collecting standard data in a historical database before step S202, where the standard data includes product types of historical production equipment of the production equipment under different working condition models, power consumption data of the historical production equipment, mode data of the purification equipment, and power consumption data of the purification equipment;
and obtaining the machine learning model through training and verification.
S204, acquiring a standard threshold range of the pollution discharge monitoring equipment according to the working condition model matching, and then performing correction calculation based on the yield data of the production equipment in unit time to acquire a dynamic threshold range of the pollution discharge monitoring equipment;
the step S204 includes calculating by the following formula:
wherein M is i Dynamic threshold range for the ith emissions monitoring device, M ki The standard threshold range of the ith pollution discharge monitoring equipment when the production equipment is under the kth standard working condition model, u is the unit time yield of the production equipment, and f (u) is a productivity correction coefficient;
under different working condition models of production equipment, the produced pollutant items and the content are different, the pollutant concentration data detected by each stage of pollution discharge monitoring equipment is closely related to the yield of the production equipment, but not simply linearly related, and according to the reaction principle and the production experience of the production equipment, the conversion rate of the physical and chemical reaction in the production equipment is not high when the yield is very low and the yield is very high, the produced pollutant waste materials and waste gases are more, and the pollutant with lower concentration can be produced when the yield is proper; therefore, the empirical model is summarized according to the historical empirical data of the pollution discharge unit, so as to obtain the productivity correction coefficient f (u) according to the yield u per unit time.
S206, judging whether the measured value of the pollutant concentration data of the pollution discharge monitoring equipment exceeds the standard threshold range or not, and if so, judging that the emission stealing condition exists in a pollution discharge unit;
in the actual production process, in order to avoid the monitoring equipment from detecting that the pollution discharge of part pollution discharge units exceeds the standard, the waste water and waste materials which are not subjected to purification treatment are privately transported to a non-supervision place for stealing and discharging, so that the conventional environmental protection monitoring means is avoided. According to the invention, through comprehensive analysis of a plurality of environmental protection data of a pollution discharge unit, the dynamic threshold range of each pollution discharge monitoring device can be obtained, so that whether the measured value of the pollution discharge monitoring device is reasonable or not can be accurately judged, whether steal discharge behaviors exist or not can be judged, and the reliability of monitoring the environmental protection data is improved.
S3, analyzing the relevance of the abnormal environmental protection data, and screening key abnormal environmental protection data;
further, fig. 4 is a flowchart of a method for screening environmental protection data with critical anomalies according to an embodiment of the present invention, where the method includes:
s302, counting abnormal pollutant concentration data in a preset time period; acquiring the equipment number of the pollution discharge monitoring equipment corresponding to the abnormal pollutant concentration data;
s304, classifying according to the first digit of the equipment number, wherein the first digits of the equipment numbers of all types of pollution discharge monitoring equipment are the same;
in each type of pollution discharge monitoring equipment, the pollution discharge monitoring equipment with the second smallest equipment number is used as key pollution discharge monitoring equipment;
s306, setting the abnormal pollutant concentration data collected by the key pollution discharge monitoring equipment as key abnormal environmental protection data.
S4, carrying out troubleshooting processing based on the supervision client, comprising the following steps: the remote server sends exception handling information to the supervision client;
the monitoring client displays key pollution discharge monitoring equipment and key abnormal environment protection data;
and (4) the supervisor carries out troubleshooting treatment on the nearest upper-stage production equipment and/or purification equipment of the key pollution discharge monitoring equipment.
Further, the supervision client displays key pollution discharge monitoring equipment and key abnormal environment protection data, and can be used for sending all abnormal environment protection data and corresponding pollution discharge monitoring equipment to the supervision client by the remote server, displaying only the key abnormal environment protection data and the corresponding pollution discharge monitoring equipment in a default state of the supervision client, and folding and hiding the rest abnormal environment protection data and the corresponding pollution discharge monitoring equipment; or the remote server sends all abnormal environment-friendly data and corresponding pollution discharge monitoring equipment to the supervision client, the supervision client simultaneously displays all the abnormal environment-friendly data and the corresponding pollution discharge monitoring equipment, but the key abnormal environment-friendly data and the corresponding pollution discharge monitoring equipment are highlighted and displayed in the front of the display list; the remote server can only send the key abnormal environmental protection data and the corresponding pollution discharge monitoring equipment to the supervision client, the supervision client only displays the key abnormal environmental protection data and the corresponding pollution discharge monitoring equipment, and the rest abnormal environmental protection data and the corresponding pollution discharge monitoring equipment are not displayed.
Furthermore, the method for troubleshooting comprises the steps of maintaining, replacing, debugging and the like the production equipment and the purification equipment, so that the data of pollutants discharged by the production equipment and the purification equipment reach a normal range;
further, after the troubleshooting is finished, the monitoring data of the key pollution discharge monitoring equipment should be recovered to be normal, at the moment, the system continues to collect, monitor and analyze a plurality of environmental protection data of a pollution discharge unit, and if abnormal environmental protection data occur, the step S3 and the step S4 are continued; and if the abnormal environmental protection data does not appear, the step S2 is carried out.
In the present specification, the embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts between the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Finally, it should also be noted that, herein, relationships such as first and second, etc., are intended only to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus.
Claims (10)
1. An online real-time monitoring system for environmental protection data comprises a pollution discharge monitoring device, a production device monitoring device, a purifying device monitoring device, an industrial control host, a remote server and a supervision client which are arranged in a pollution discharge unit; the system is characterized in that a sewage disposal unit is provided with a plurality of production sewage disposal lines, and each production sewage disposal line is provided with a plurality of production devices and a plurality of purification devices; the pollution discharge monitoring equipment is arranged at the discharge port of each production equipment and each purification equipment and is used for collecting pollutant concentration data; the industrial control host is used for carrying out preliminary analysis on the environmental protection data and numbering the pollution discharge monitoring equipment according to a production pollution discharge line where the pollution discharge monitoring equipment is located and the flow direction of production pollution discharge; the remote server is used for analyzing whether the sewage disposal unit steals or not according to the environmental protection data and screening key abnormal environmental protection data from the abnormal environmental protection data; and the supervision client displays key pollution discharge monitoring equipment and key abnormal environment protection data.
2. The environmental protection data online real-time monitoring system according to claim 1, wherein numbering the pollution discharge monitoring devices according to a production pollution discharge line and a production pollution discharge flow direction in which the pollution discharge monitoring devices are located comprises: the first digits of the serial numbers of all the pollution discharge monitoring devices on one production pollution discharge line are the same; the first digits of the serial numbers of the pollution discharge monitoring equipment on different production pollution discharge lines are different; and numbering the second position of the serial numbers of the pollution discharge monitoring equipment from small to large according to the flow direction on the production pollution discharge line.
3. The online real-time environmental data monitoring system according to claim 2, wherein the environmental data of the emission monitoring device includes pollutant concentration data;
the environment-friendly data of the production equipment monitoring device comprises the product type of the production equipment, the power consumption data of the production equipment and the output data of the production equipment in unit time;
the environmental protection data of the purifying equipment monitoring device comprise purifying equipment mode data and purifying equipment power consumption data.
4. The environmental protection data online real-time monitoring system according to claim 3, wherein the industrial control host is configured to perform preliminary analysis on the environmental protection data, and the preliminary analysis includes:
and the industrial control host retrieves pollutant concentration data from the environmental protection data and judges whether the pollutant concentration data of the pollution monitoring equipment exceeds a preset threshold value.
5. The environmental protection data online real-time monitoring system according to claim 4, wherein the supervision client displays only the key pollution discharge monitoring equipment and the key abnormal environmental protection data in a default state; and the residual abnormal environmental protection data and the pollution discharge monitoring equipment are folded and hidden.
6. An online real-time monitoring method for environmental protection data, which is applied to the online real-time monitoring system for environmental protection data according to any one of claims 1 to 5, and is characterized by comprising the following steps:
s1, collecting environmental protection data of a sewage disposal unit, carrying out primary analysis on the environmental protection data by an industrial control host, and entering a step S2 if no sewage disposal monitoring equipment with pollutant concentration data exceeding a preset threshold exists, or entering a step S3;
s2, judging whether a sewage disposal unit steals and discharges wastes or not according to the environmental protection data;
s3, analyzing the relevance of the abnormal environment-friendly data, and screening key abnormal environment-friendly data;
s4, carrying out troubleshooting processing based on the supervision client, comprising the following steps: the remote server sends exception handling information to the supervision client; the monitoring client displays key pollution discharge monitoring equipment and key abnormal environment protection data; and (4) the supervisor carries out troubleshooting treatment on the nearest upper-stage production equipment and/or purification equipment of the key pollution discharge monitoring equipment.
7. The online real-time monitoring method for environmental protection data according to claim 6, wherein the step S1 comprises: collecting sewage discharge monitoring equipment data, production equipment data and purification equipment data of a sewage discharge unit;
wherein the emissions monitoring device data includes pollutant concentration data;
the production equipment data comprises product types of production equipment, power consumption data of the production equipment and unit time yield data of the production equipment;
the data of the purifying equipment comprises data of a mode of the purifying equipment and data of electric power used by the purifying equipment.
8. The online real-time monitoring method for environmental protection data according to claim 7, wherein the step S2 comprises:
s202, acquiring a current working condition model of the production equipment based on a machine learning algorithm according to the product type of the production equipment and the power consumption data of the production equipment;
s204, acquiring a standard threshold range of the pollution discharge monitoring equipment according to the working condition model matching, and then performing correction calculation based on the yield data of the production equipment in unit time to acquire a dynamic threshold range of the pollution discharge monitoring equipment;
s206, judging whether the measured value of the pollutant concentration data of the pollution discharge monitoring equipment exceeds the standard threshold range, and if so, judging that the emission stealing condition exists in a pollution discharge unit.
9. The online real-time monitoring method for environmental protection data according to claim 8, wherein the step S3 comprises:
s302, counting abnormal pollutant concentration data in a preset time period; acquiring the equipment number of the pollution discharge monitoring equipment corresponding to the abnormal pollutant concentration data;
s304, classifying according to the first digit of the equipment number, wherein the first digits of the equipment numbers of all types of pollution discharge monitoring equipment are the same; in each type of pollution discharge monitoring equipment, the pollution discharge monitoring equipment with the second smallest equipment number is used as key pollution discharge monitoring equipment;
s306, setting the abnormal pollutant concentration data collected by the key pollution discharge monitoring equipment as key abnormal environmental protection data.
10. The online real-time monitoring method for environmental protection data according to claim 9, wherein before the step S202, the online real-time monitoring method further comprises the step S201 of collecting standard data in a historical database, wherein the standard data comprise product types of historical production equipment of the production equipment under different working condition models, power consumption data of the historical production equipment, mode data of the purification equipment, and power consumption data of the purification equipment; and obtaining the machine learning model through training and verification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211682034.4A CN115729199A (en) | 2022-12-27 | 2022-12-27 | Environment-friendly data online real-time monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211682034.4A CN115729199A (en) | 2022-12-27 | 2022-12-27 | Environment-friendly data online real-time monitoring system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115729199A true CN115729199A (en) | 2023-03-03 |
Family
ID=85301768
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211682034.4A Pending CN115729199A (en) | 2022-12-27 | 2022-12-27 | Environment-friendly data online real-time monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115729199A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116436166A (en) * | 2023-06-12 | 2023-07-14 | 青岛恒源新电力科技有限公司 | Electric power data analysis and monitoring method and system based on Internet of things |
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
-
2022
- 2022-12-27 CN CN202211682034.4A patent/CN115729199A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116628437A (en) * | 2023-04-13 | 2023-08-22 | 南京轩果基础建筑工程有限公司 | Data monitoring method for sewage circulation deep purification treatment |
| CN116436166A (en) * | 2023-06-12 | 2023-07-14 | 青岛恒源新电力科技有限公司 | Electric power data analysis and monitoring method and system based on Internet of things |
| CN116436166B (en) * | 2023-06-12 | 2023-09-05 | 青岛恒源新电力科技有限公司 | Electric power data analysis and monitoring method and system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115729199A (en) | Environment-friendly data online real-time monitoring system and method | |
| CN112863134B (en) | Intelligent diagnosis system and method for rural sewage treatment facility abnormal operation | |
| CN114047719A (en) | Remote monitoring and evaluating system and operation method for rural domestic sewage treatment facility | |
| CN112184090B (en) | Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor | |
| CN109165234B (en) | Robot abnormity analysis method and device | |
| CN101470426A (en) | Fault detection method and system | |
| CN109064048B (en) | Wastewater discharge source rapid investigation method and system based on wastewater treatment process analysis | |
| CN101668012A (en) | Method and device for detecting security event | |
| CN108595687A (en) | Water consumption method for detecting abnormality and database server | |
| CN111832909B (en) | Emergency response system and method for illegal sewage discharge | |
| CN114169424A (en) | Discharge capacity prediction method based on k nearest neighbor regression algorithm and electricity utilization data | |
| CN115063014A (en) | Industrial wastewater supervision system and method based on 5G network | |
| CN117420283B (en) | Integrated multi-channel water quality monitoring method and system | |
| CN113655189A (en) | Automatic monitoring data analysis and judgment system for pollution source | |
| CN116298159A (en) | Industrial sewage plant pollutant tracing method and device, storage medium and computer equipment | |
| CN108829794A (en) | Alert analysis method based on interval graph | |
| CN112798041A (en) | Site environment monitoring system and method based on industrial production intellectualization | |
| CN117278591A (en) | Park abnormity alarm system based on cloud platform | |
| CN115102790B (en) | Network traffic abnormity sensing system and method based on big data | |
| CN113408938B (en) | Online monitoring method and system for enterprise pollution source, electronic equipment and storage medium | |
| CN103530730A (en) | Supervised object creating and management modeling method of corruption punishment and prevention system | |
| CN114064711A (en) | Rule base-based device exception handling method and device and storage medium | |
| CN112926826A (en) | Online evaluation method and system for operation state of flue gas dust removal system of iron and steel enterprise | |
| CN104714205B (en) | Electricity meter misplacement detection system and method thereof | |
| Riss et al. | Improving detection of events at water treatment works: a UK case study |
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 |