An online real-time monitoring system and method for environmental protection data

Abstract

The present invention discloses an online real-time monitoring system and method for environmental data, including pollution monitoring equipment, production equipment monitoring devices, purification equipment monitoring devices, industrial control hosts, as well as remote servers and supervisory clients, all installed in pollution-discharging units. The present invention collects multiple environmental data from pollution-discharging units, conducts comprehensive analysis and processing, and can comprehensively and accurately monitor and manage pollution-discharging units. The present invention improves the efficiency of environmental monitoring by utilizing a data analysis and processing method that combines local and remote data. The present invention improves the credibility of environmental data monitoring by setting real and reasonable dynamic thresholds to accurately judge illegal discharge behaviors. Based on the inherent correlation of abnormal environmental data, the present invention screens out critical and source abnormal equipment and filters out secondary abnormal data, which can greatly improve the efficiency of investigation and processing.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an online real-time monitoring system and method for environmental data. Background Art

[0002] With the rapid development of society, environmental issues have received significant attention. Environmental monitoring utilizes specific devices and methods to detect key pollutants within a targeted area in order to understand their actual status, changing trends, and distribution. Pollutant-discharging units, as key pollution sources, deserve particular attention for scientific and rational environmental monitoring. However, current environmental data monitoring of pollutant-discharging units faces numerous challenges. Some polluting enterprises have limited monitoring equipment, with most only installing pollutant monitoring equipment at their outlets. This results in low accuracy and reliability of the monitored environmental data, making it difficult to detect data falsification and illegal discharges. In some regions, in order to accurately monitor various environmental data from polluting enterprises, a large number of sensor monitoring devices are installed within these enterprises. However, when data anomalies occur, numerous alarms are often generated, making it difficult for monitoring personnel to quickly obtain critical and effective information. Instead, they rely on experience to conduct individual investigations, which is extremely time-consuming and leads to prolonged downtime and increased resistance to environmental monitoring.

[0003] For example, invention patent CN111077865B proposes a system and method for monitoring the environmental production load of pollution-producing enterprises. The system includes a power monitoring device, a material monitoring device, and a controller. The material monitoring device includes a pressure sensor, a flow accumulator, and other components. This invention accurately monitors whether production activities on industrial production lines meet the emergency response plan requirements of environmental protection departments, thereby enabling pollution monitoring and management of the factory. However, this invention does not consider the authenticity and credibility of the monitoring data from polluting enterprises. Invention patent CN110488773B proposes a full-process environmental protection operating condition monitoring system and its configuration method. The system includes an enterprise on-site data acquisition unit, a data transmission unit, and a cloud platform. The enterprise on-site data acquisition unit includes an on-site configuration system data acquisition module, a first IoT gateway module, a first VLAN switch, and an on-site central industrial computer. The data transmission unit includes a second VLAN switch, a first server, a second IoT gateway module, a second server, and a network switch. The cloud platform is data-connected to the network switch. This monitoring system enables efficient collection of enterprise environmental monitoring data and effective monitoring of the enterprise's full-process environmental protection operating conditions. However, this invention patent does not address the issue of how to efficiently handle abnormal environmental data. Summary of the Invention

[0004] Purpose of the invention: In response to the above problems, the present invention proposes an online real-time monitoring system and method for environmental data.

[0005] Technical solution:

[0006] In a first aspect, the present invention provides an online real-time monitoring system for environmental data, comprising pollution monitoring equipment, production equipment monitoring devices, purification equipment monitoring devices, an industrial control host, a remote server, and a monitoring client installed in a pollution-discharging unit;

[0007] Optionally, the sewage discharge unit has multiple production sewage discharge lines, and each production sewage discharge line is provided with a plurality of production equipment and a plurality of purification equipment;

[0008] The pollution discharge monitoring equipment is installed at the discharge outlet of each production equipment and each purification equipment to collect pollutant concentration data;

[0009] The industrial control host is used to perform preliminary analysis of environmental protection data and to number the pollution monitoring equipment according to the production sewage discharge line where the pollution monitoring equipment is located and the production sewage discharge flow direction;

[0010] The remote server is used to analyze whether the pollutant discharge unit has secretly discharged pollutants based on the environmental protection data, and is also used to screen key abnormal environmental protection data from abnormal environmental protection data;

[0011] The regulatory client displays key pollution monitoring equipment and key abnormal environmental protection data.

[0012] Optionally, numbering the pollution monitoring equipment according to the production pollution discharge line where the pollution monitoring equipment is located and the production pollution discharge direction includes:

[0013] The first digit of the serial numbers of all sewage monitoring equipment on a production sewage line is the same;

[0014] The first digit of the serial number of the sewage monitoring equipment on different production sewage lines is different;

[0015] The second digit of the sewage monitoring equipment number is sorted from small to large according to the flow direction on the production sewage line.

[0016] Optionally, the environmental protection data of the pollution monitoring equipment includes pollutant concentration data;

[0017] The environmental protection data of the production equipment monitoring device includes the product type of the production equipment, the power consumption data of the production equipment, and the output data of the production equipment per unit time;

[0018] The environmental protection data of the purification equipment monitoring device includes purification equipment mode data and purification equipment power consumption data.

[0019] Optionally, the industrial control host is used to perform preliminary analysis of environmental protection data, including:

[0020] The industrial control host retrieves pollutant concentration data from environmental protection data to determine whether there is any pollution monitoring equipment whose pollutant concentration data exceeds a preset threshold.

[0021] Optionally, the supervision client only displays key pollution monitoring equipment and key abnormal environmental protection data by default; and the remaining abnormal environmental protection data and corresponding pollution monitoring equipment are folded and hidden.

[0022] In a second aspect, the present invention further provides a method for online real-time monitoring of environmental data, the method comprising the steps of:

[0023] S1. Collect environmental data from pollutant-discharging units. The industrial control host performs a preliminary analysis of the environmental data. If there is no pollutant monitoring device with pollutant concentration data exceeding a preset threshold, proceed to step S2; otherwise, proceed to step S3.

[0024] S2. Determine whether the pollutant-discharging units are illegally discharging waste based on environmental protection data;

[0025] S3. Analyze the correlation of abnormal environmental data and screen key abnormal environmental data;

[0026] S4. Performing troubleshooting based on the supervisory client, including: the remote server sending exception handling information to the supervisory client;

[0027] The supervisory client displays key pollution monitoring equipment and key abnormal environmental data;

[0028] Supervisors will investigate and handle the nearest upstream production equipment and / or purification equipment of key pollution monitoring equipment.

[0029] Optionally, the step S1 includes: collecting pollution monitoring equipment data, production equipment data, and purification equipment data of the pollution-discharging unit;

[0030] The pollution monitoring equipment data includes pollutant concentration data;

[0031] Production equipment data includes product type, power consumption, and output per unit time.

[0032] The purification equipment data includes purification equipment mode data and purification equipment power consumption data.

[0033] Optionally, step S2 includes:

[0034] S202. Obtain a current working condition model of the production equipment based on a machine learning algorithm according to the product type and power consumption data of the production equipment;

[0035] Optionally, step S202 also includes step S201 before collecting standard data in the historical database, including the product types of historical production equipment under different working condition models, power consumption data of historical production equipment, purification equipment mode data, and power consumption data of purification equipment; after training and verification, a machine learning model is obtained.

[0036] S204: Obtain a standard threshold range for the pollution monitoring equipment based on the operating condition model, and then perform a correction calculation based on the unit time output data of the production equipment to obtain a dynamic threshold range for the pollution monitoring equipment;

[0037] S206: Determine whether the actual measured value of the pollutant concentration data of the pollution monitoring equipment exceeds the standard threshold range. If so, determine that the pollution discharge unit has committed illegal discharge.

[0038] Optionally, step S3 includes:

[0039] S302: Collecting abnormal pollutant concentration data during a preset period of time; obtaining the device number of the pollution monitoring device corresponding to the abnormal pollutant concentration data;

[0040] S304. Classify the equipment according to the first digit of the equipment number, where the first digit of the equipment number of each type of sewage monitoring equipment is the same;

[0041] In each type of pollution monitoring equipment, the pollution monitoring equipment with the second smallest equipment number shall be regarded as the key pollution monitoring equipment;

[0042] S306. The abnormal pollutant concentration data collected by the key pollution monitoring equipment is set as the key abnormal environmental protection data.

[0043] The present invention has the following beneficial effects compared to the prior art:

[0044] 1. The present invention collects multiple environmental protection data of pollutant discharge units, conducts comprehensive analysis and processing, and can comprehensively and accurately monitor and manage pollutant discharge units.

[0045] 2. The present invention adopts the method of preliminary analysis by the local industrial computer and remote analysis and processing by the remote server. According to the results of the local preliminary analysis by the industrial computer, the remote server is controlled to perform different types of analysis and processing, which can avoid a large number of complex calculations and improve the efficiency of environmental protection data analysis and processing.

[0046] 3. This method uses the equipment's product type and power consumption data to determine the equipment's current operating condition model. This model is then used to match the standard threshold range for the pollution monitoring equipment. This is then corrected and calculated based on the equipment's unit-time output data to determine the equipment's dynamic threshold range. This approach allows for more realistic and reasonable dynamic thresholds, enabling accurate identification of illegal emissions and improving the credibility of environmental data monitoring.

[0047] 4. When the present invention monitors multiple abnormal pollutant concentration data, it can screen out key and source abnormal equipment based on the inherent correlation of abnormal environmental data, and give priority to displaying and processing them. It can effectively filter out secondary abnormal data and greatly improve the efficiency of investigation and processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the structure of an online real-time monitoring system for environmental data provided by an embodiment of the present invention;

[0049] Figure 2 A flow chart of a method for online real-time monitoring of environmental data provided by an embodiment of the present invention;

[0050] Figure 3 A flow chart of a method for determining whether a pollutant-discharging unit has illegally discharged waste based on environmental protection data provided by an embodiment of the present invention;

[0051] Figure 4 A flowchart of a method for screening key abnormal environmental data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] Obviously, many modifications and variations made by those skilled in the art based on the purpose of the present invention fall within the protection scope of the present invention.

[0053] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when an element or component is said to be "connected" to another element or component, it can be directly connected to the other element or component, or there may be intermediate elements or components. The term "and / or" used herein includes any unit and all combinations of one or more associated listed items.

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0055] Example 1:

[0056] The embodiment of the present invention provides an online real-time monitoring system for environmental data. Figure 1 , Figure 1 This is a schematic diagram of the structure of an online real-time monitoring system for environmental data provided by an embodiment of the present invention. The system includes pollution monitoring equipment, production equipment monitoring devices, purification equipment monitoring devices, an industrial control host, a remote server, and a monitoring client installed in the pollution-discharging unit;

[0057] Furthermore, the sewage discharge unit has multiple production sewage discharge lines, each of which is equipped with a number of production equipment and a number of purification equipment; Figure 1 The figure only shows one production sewage discharge line in a sewage discharge unit. In the line, production equipment, primary purification equipment, and secondary purification equipment are arranged in order according to the flow direction of the production sewage. The sewage discharge unit also includes multiple other production sewage discharge lines, each of which also includes multiple stages of purification equipment. In some production sewage discharge lines, two sets of production equipment are connected in parallel to use one set of purification equipment.

[0058] The pollution discharge monitoring equipment is installed at the discharge outlet of each production equipment and each purification equipment to collect pollutant concentration data;

[0059] Number the sewage monitoring equipment according to the production sewage discharge line where the sewage monitoring equipment is located and the production sewage discharge direction;

[0060] The industrial control host is used to perform preliminary analysis of environmental protection data;

[0061] The remote server is used to analyze whether the pollutant discharge unit is secretly discharging based on environmental protection data, and is also used to filter key abnormal environmental protection data from abnormal environmental protection data; the supervision client only displays key pollution monitoring equipment and key abnormal environmental protection data in the default state.

[0062] Furthermore, the numbering of the pollution monitoring equipment according to the production pollution discharge line where the pollution monitoring equipment is located and the production pollution discharge direction includes:

[0063] The first digit of the serial numbers of all sewage monitoring equipment on a production sewage line is the same;

[0064] The first digit of the serial number of the sewage monitoring equipment on different production sewage lines is different;

[0065] The second digit of the sewage monitoring equipment number is sorted from small to large according to the flow direction on the production sewage line.

[0066] Furthermore, the environmental protection data of the pollution monitoring equipment includes pollutant concentration data;

[0067] The environmental protection data of the production equipment monitoring device includes the product type of the production equipment, the power consumption data of the production equipment, and the output data of the production equipment per unit time;

[0068] The environmental protection data of the purification equipment monitoring device includes purification equipment mode data and purification equipment power consumption data.

[0069] Furthermore, the industrial control host is used to perform preliminary analysis of environmental protection data, including:

[0070] The industrial control host retrieves pollutant concentration data from environmental protection data to determine whether there is any pollution monitoring equipment whose pollutant concentration data exceeds a preset threshold.

[0071] Furthermore, the supervisory client only displays key pollution monitoring equipment and key abnormal environmental protection data by default; and the remaining abnormal environmental protection data and pollution monitoring equipment are folded and hidden.

[0072] Example 2:

[0073] The embodiment of the present invention also provides a method for online real-time monitoring of environmental data. Figure 2 , Figure 2 The method comprises the steps of:

[0074] S1. Collect environmental data from pollutant-discharging units. The industrial control host performs a preliminary analysis of the environmental data. If there is no pollutant monitoring device with pollutant concentration data exceeding a preset threshold, proceed to step S2; otherwise, proceed to step S3.

[0075] Furthermore, the step S1 includes: collecting pollution monitoring equipment data, production equipment data, and purification equipment data of the pollution-discharging unit;

[0076] The pollution monitoring equipment data includes pollutant concentration data;

[0077] Production equipment data includes product type, power consumption, and output per unit time.

[0078] The purification equipment data includes purification equipment mode data and purification equipment power consumption data.

[0079] S2. Determine whether the pollutant-discharging unit is illegally discharging waste based on environmental protection data, including:

[0080] Furthermore, Figure 3 A flow chart of a method for determining whether a pollutant-discharging unit has illegally discharged waste based on environmental protection data provided by an embodiment of the present invention includes:

[0081] S202. Obtain a current working condition model of the production equipment based on a machine learning algorithm according to the product type and power consumption data of the production equipment;

[0082] Furthermore, before step S202, the step further includes step S201, collecting standard data in the historical database, including product types of historical production equipment under different working condition models, power consumption data of historical production equipment, purification equipment mode data, and power consumption data of purification equipment;

[0083] After training and verification, a machine learning model is obtained.

[0084] S204: Obtain a standard threshold range for the pollution monitoring equipment based on the operating condition model, and then perform a correction calculation based on the unit time output data of the production equipment to obtain a dynamic threshold range for the pollution monitoring equipment;

[0085] The step S204 includes calculating by the following formula:

[0086]

[0087] Among them, M i is the dynamic threshold range of the i-th pollution monitoring device, M ki is the standard threshold range of the i-th pollution monitoring equipment when the production equipment is in the k-th standard operating condition model, u is the unit time output of the production equipment, and f(u) is the capacity correction coefficient;

[0088] Under different operating models of production equipment, there are differences in the items and contents of pollutants generated. The pollutant concentration data detected by pollution monitoring equipment at all levels are also closely related to the output of the production equipment, but it is not a simple linear correlation. According to the reaction principle of the production equipment and production experience, when the output is very low or very high, the conversion rate of the physical and chemical reactions in the production equipment is not high, and more pollutants, waste materials and exhaust gases are generated. Only when the output is appropriate will lower concentrations of pollutants be generated; therefore, the empirical model here is summarized based on the historical experience data of the pollution discharge unit, so as to obtain the production capacity correction coefficient f(u) based on the unit time output u.

[0089] S206: Determine whether the actual measured value of the pollutant concentration data of the pollution monitoring equipment exceeds the standard threshold range. If so, determine that the pollutant discharge unit has committed illegal discharge;

[0090] In actual production processes, some pollutant dischargers, in order to avoid detection by monitoring equipment of excessive discharge, secretly transport untreated wastewater and waste materials to unsupervised locations for discharge, thereby circumventing conventional environmental monitoring measures. The present invention, through comprehensive analysis of multiple environmental data from pollutant dischargers, can obtain the dynamic threshold range of each pollutant discharge monitoring device. This can accurately determine whether the measured values ​​of the pollutant discharge monitoring devices are reasonable, and thus determine whether there is any illegal discharge, thereby improving the credibility of environmental data monitoring.

[0091] S3. Analyze the correlation of abnormal environmental data and screen key abnormal environmental data;

[0092] Furthermore, Figure 4 A flowchart of a method for screening key abnormal environmental data provided by an embodiment of the present invention, the method comprising:

[0093] S302: Collecting abnormal pollutant concentration data during a preset period of time; obtaining the device number of the pollution monitoring device corresponding to the abnormal pollutant concentration data;

[0094] S304. Classify the equipment according to the first digit of the equipment number, where the first digit of the equipment number of each type of sewage monitoring equipment is the same;

[0095] In each type of pollution monitoring equipment, the pollution monitoring equipment with the second smallest equipment number shall be regarded as the key pollution monitoring equipment;

[0096] S306. The abnormal pollutant concentration data collected by the key pollution monitoring equipment is set as the key abnormal environmental protection data.

[0097] S4. Performing troubleshooting based on the supervisory client, including: the remote server sending exception handling information to the supervisory client;

[0098] The supervisory client displays key pollution monitoring equipment and key abnormal environmental data;

[0099] Supervisors will investigate and handle the nearest upstream production equipment and / or purification equipment of key pollution monitoring equipment.

[0100] Furthermore, the supervision client displays key pollution monitoring equipment and key abnormal environmental protection data. The remote server may send all abnormal environmental protection data and corresponding pollution monitoring equipment to the supervision client, and the supervision client only displays the key abnormal environmental protection data and corresponding pollution monitoring equipment in the default state, and folds and hides the remaining abnormal environmental protection data and corresponding pollution monitoring equipment; the remote server may send all abnormal environmental protection data and corresponding pollution monitoring equipment to the supervision client, and the supervision client displays all abnormal environmental protection data and corresponding pollution monitoring equipment at the same time, but gives priority to highlighting the key abnormal environmental protection data and corresponding pollution monitoring equipment at the front of the display list; the remote server may only send the key abnormal environmental protection data and corresponding pollution monitoring equipment to the supervision client, and the supervision client only displays the key abnormal environmental protection data and corresponding pollution monitoring equipment, and does not display the remaining abnormal environmental protection data and corresponding pollution monitoring equipment.

[0101] Furthermore, the method of troubleshooting and processing includes repairing, replacing, and debugging the production equipment and purification equipment, so that the pollutant data discharged by the production equipment and purification equipment reaches a normal range;

[0102] Furthermore, after the above-mentioned investigation and processing is completed, the monitoring data of the key pollution monitoring equipment should return to normal. At this time, the system continues to collect, monitor and analyze multiple environmental protection data of the pollution-discharging units. If abnormal environmental protection data appears, it will continue to enter steps S3 and S4; if no abnormal environmental protection data appears, it will enter step S2.

[0103] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0104] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0105] Finally, it should be noted that, in this document, relationships such as first and second, etc., are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

Claims

1. A method for online real-time monitoring of environmental data, applied to an online real-time monitoring system for environmental data; the system comprises pollution monitoring equipment, production equipment monitoring devices, purification equipment monitoring devices, an industrial control host, a remote server, and a monitoring client installed in a pollution-discharging unit; the pollution-discharging unit has multiple production pollution lines, each of which is equipped with a number of production equipment and a number of purification equipment; the pollution monitoring equipment is installed at the discharge outlet of each production equipment and each purification equipment, and is used to collect pollutant concentration data; the industrial control host is used to perform preliminary analysis of the environmental data and to number the pollution monitoring equipment according to the production pollution line where the pollution monitoring equipment is located and the direction of production pollution discharge; the remote server is used to analyze whether the pollution-discharging unit has secretly discharged pollution based on the environmental data and to screen key abnormal environmental data from abnormal environmental data; The supervision client displays key pollution monitoring equipment and key abnormal environmental protection data; it is characterized in that The method comprises the steps of: S1. Collect environmental data from pollutant-discharging units. The industrial control host performs a preliminary analysis of the environmental data. If there is no pollutant monitoring device with pollutant concentration data exceeding a preset threshold, proceed to step S2; otherwise, proceed to step S3. S2. Determine whether the pollutant-discharging unit is illegally discharging waste based on environmental protection data, including: S202. Obtain a current working condition model of the production equipment based on a machine learning algorithm according to the product type and power consumption data of the production equipment; S204: Obtain the standard threshold range of the pollution monitoring equipment according to the working condition model, and then perform correction calculation based on the unit time output data of the production equipment to obtain the dynamic threshold range M of the pollution monitoring equipment. i =M ki *f(u); where M i is the dynamic threshold range of the i-th pollution monitoring device, M ki is the standard threshold range of the i-th pollution monitoring equipment when the production equipment is in the k-th standard operating condition model, u is the unit time output of the production equipment, and f(u) is the capacity correction coefficient; S206: Determine whether the actual measured value of the pollutant concentration data of the pollution monitoring equipment exceeds the dynamic threshold range. If so, determine that the pollutant discharge unit has committed illegal discharge; S3. Analyze the correlation of abnormal environmental data and screen key abnormal environmental data; S4. Investigation and processing based on the supervision client, including: the remote server sends exception processing information to the supervision client; the supervision client displays key pollution monitoring equipment and key abnormal environmental protection data; supervision personnel investigate and process the closest upper-level production equipment and / or purification equipment of the key pollution monitoring equipment.

2. The online real-time monitoring method for environmental protection data according to claim 1, characterized in that: The pollution monitoring equipment is numbered according to the production pollution discharge line where the pollution monitoring equipment is located and the production pollution discharge flow direction, including: the first digit of the number of all pollution monitoring equipment on a production pollution discharge line is the same; the first digit of the number of pollution monitoring equipment on different production pollution discharge lines is different; the second digit of the number of the pollution monitoring equipment is sorted from small to large according to the flow direction on the production pollution discharge line.

3. The online real-time monitoring method for environmental protection data according to claim 2, characterized in that: The environmental protection data of the pollution monitoring equipment includes pollutant concentration data; The environmental protection data of the production equipment monitoring device includes the product type of the production equipment, the power consumption data of the production equipment, and the output data of the production equipment per unit time; The environmental protection data of the purification equipment monitoring device includes purification equipment mode data and purification equipment power consumption data.

4. The online real-time monitoring method for environmental protection data according to claim 3, characterized in that: The industrial control host is used to perform preliminary analysis of environmental protection data, including: The industrial control host retrieves pollutant concentration data from environmental protection data to determine whether there is any pollution monitoring equipment whose pollutant concentration data exceeds a preset threshold.

5. The online real-time monitoring method for environmental protection data according to claim 4, characterized in that: By default, the supervision client only displays key pollution monitoring equipment and key abnormal environmental protection data; the remaining abnormal environmental protection data and pollution monitoring equipment are folded and hidden.

6. The online real-time monitoring method for environmental data according to claim 5, characterized in that: Said step S1 comprises: collecting the pollution monitoring equipment data, production equipment data, and purification equipment data of the pollution-discharging unit; The pollution monitoring equipment data includes pollutant concentration data; Production equipment data includes product type, power consumption, and output per unit time. The purification equipment data includes purification equipment mode data and purification equipment power consumption data.

7. The online real-time monitoring method for environmental protection data according to claim 6, characterized in that: The step S3 comprises: S302: Collecting abnormal pollutant concentration data during a preset period of time; obtaining the device number of the pollution monitoring device corresponding to the abnormal pollutant concentration data; S304. Classify the equipment according to the first digit of the equipment number. The first digit of the equipment number of each type of pollution discharge monitoring equipment is the same. In each type of pollution discharge monitoring equipment, the pollution discharge monitoring equipment with the smallest second digit of the equipment number is designated as the key pollution discharge monitoring equipment. S306. The abnormal pollutant concentration data collected by the key pollution monitoring equipment is set as the key abnormal environmental protection data.

8. The online real-time monitoring method for environmental protection data according to claim 7, characterized in that: Before step S202, step S201 is also included, collecting standard data from the historical database, including the product types of historical production equipment under different working condition models, power consumption data of historical production equipment, purification equipment mode data, and power consumption data of purification equipment; after training and verification, a machine learning model is obtained.

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