Online sewage monitoring system based on Internet of Things technology

Abstract

The invention belongs to the field of sewage monitoring, relates to a data processing technology, is used for solving the problem that in the prior art, traceability matching processing analysis cannot be carried out when sewage discharge is abnormal, and particularly relates to an online sewage monitoring system based on the Internet of Things technology, which comprises a component monitoring module, a traceability matching module and a treatment and supervision module which are connected in sequence, the component monitoring module can monitor and analyze sewage components: a monitoring period is divided into a plurality of monitoring time periods, the content value of each harmful component in the sewage is obtained in real time in the monitoring time periods, and the maximum value of the content value in the monitoring time periods is marked as the monitoring value of the harmful component; marking the harmful components as normal components or abnormal components according to the monitoring values; according to the method, the sewage components can be monitored and analyzed, the harmful components are taken as monitoring units, the maximum values of the content values of all the harmful components in the monitoring time period are counted, and then the monitoring time period is subjected to differential marking according to the statistical results of all the harmful components.

Description

Technical Field

[0001] The present invention belongs to the field of sewage monitoring and relates to data processing technology, in particular to an online sewage monitoring system based on Internet of Things technology. Background Art

[0002] The sewage online monitoring system is a digital platform that uses the Internet of Things, intelligent sensing and cloud computing technologies to achieve dynamic supervision of the entire sewage treatment process. Its core functions include real-time monitoring, intelligent early warning and process optimization, providing full-cycle guarantees for water quality discharge to meet standards.

[0003] The existing online sewage monitoring system is unable to conduct source tracing, matching, processing and analysis when sewage discharge is abnormal, resulting in the inability to curb abnormal sewage discharge from the source. At the same time, the existing technology is unable to monitor and analyze the sewage discharge treatment status, and cannot optimize sewage treatment when necessary, resulting in the inability to effectively control harmful substances in discharged sewage.

[0004] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide an online sewage monitoring system based on Internet of Things technology to solve the problem that the existing technology cannot perform source tracing, matching, processing and analysis when sewage discharge is abnormal;

[0006] The technical problem to be solved by the present invention is: how to provide an online sewage monitoring system based on Internet of Things technology that can perform source tracing, matching, processing and analysis when sewage discharge is abnormal.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An online sewage monitoring system based on Internet of Things technology includes a component monitoring module, a traceability matching module, and a governance supervision module connected in sequence;

[0009] The component monitoring module can monitor and analyze the components of sewage: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the content value of each harmful component in the sewage in real time during the monitoring time period, mark the maximum content value during the monitoring time period as the monitoring value of the harmful component, mark the harmful component as a normal component or an abnormal component based on the monitoring value, and mark the monitoring time period as a normal period or an abnormal period based on the marking result of the abnormal component;

[0010] The traceability matching module is used to perform traceability matching processing on the abnormal period and mark the processing object, and send the processing object to the mobile terminal of the manager;

[0011] The governance supervision module is used to supervise and analyze sewage discharge governance: obtain the continuous value and treatment value of the monitoring period at the end of the monitoring period; mark the sum of the continuous value and the treatment value as the supervision value of the monitoring period, and judge whether the sewage discharge governance status within the monitoring period meets the requirements through the supervision value.

[0012] Furthermore, the specific process of marking harmful components as normal components or abnormal components includes: retrieving the monitoring threshold of the harmful components, and comparing the monitoring value of the harmful components with the monitoring threshold: if the monitoring value is less than the monitoring threshold, the corresponding harmful component is marked as a normal component; if the monitoring value is greater than or equal to the monitoring threshold, the corresponding harmful component is marked as an abnormal component.

[0013] Furthermore, the specific process of marking the monitoring period as a normal period or an abnormal period includes: if all harmful components are marked as normal components, it is determined that the sewage discharge within the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; otherwise, it is determined that the sewage discharge within the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period.

[0014] Furthermore, the specific process of the traceability matching module for traceability matching processing of the abnormal time period includes: forming an abnormal set with all abnormal components within the abnormal period, marking the enterprises and factories involved in sewage discharge as analysis objects, marking the sewage components of the analysis object through the production products, production processes and production raw materials of the analysis object, forming an emission set with all sewage components of the analysis object, and comparing the emission set with the abnormal set: marking the ratio of the number of overlapping elements between the emission set and the abnormal set to the number of elements in the abnormal set as the overlap coefficient of the analysis object, and marking the analysis object with the largest overlap coefficient value as the processing object.

[0015] Furthermore, the process of obtaining continuous values ​​includes: eliminating abnormal time periods between two normal time periods in the monitoring period, and marking the number of abnormal time periods in the monitoring period after elimination as continuous values; the process of obtaining processing values ​​includes: obtaining the number of times the analysis object is marked as a processing object in the monitoring period and marking it as an evaluation value, and comparing the evaluation value with a preset evaluation threshold: if the evaluation value is less than the evaluation threshold, the corresponding processing object is marked as an irrelevant object; if the evaluation value is greater than or equal to the evaluation threshold, the corresponding processing object is marked as an alarm object, and the number of alarm objects is marked as the processing value.

[0016] Furthermore, the specific process of determining whether the sewage discharge treatment status within the monitoring period meets the requirements includes: comparing the supervision value with the preset supervision threshold: if the supervision value is less than the supervision threshold, it is determined that the sewage discharge treatment status within the monitoring period meets the requirements; otherwise, it is determined that the sewage discharge treatment status within the monitoring period does not meet the requirements, generating a treatment optimization signal and sending the treatment optimization signal to the mobile phone terminal of the manager.

[0017] Furthermore, the working method of the sewage online monitoring system based on the Internet of Things technology includes the following steps:

[0018] Step 1: Monitor and analyze the components of sewage: Generate a monitoring cycle and divide it into several monitoring periods. During the monitoring period, obtain the content value of each harmful component in the sewage in real time. Mark the maximum content value during the monitoring period as the monitoring value of the harmful component. Use the monitoring value to mark the monitoring period as a normal period or an abnormal period.

[0019] Step 2: Trace and match the abnormal period: All abnormal components within the abnormal period are combined into an abnormal set, and the enterprises and factories involved in wastewater discharge are marked as analysis objects. The treatment objects in the analysis objects are screened and marked;

[0020] Step 3: Conduct supervision and analysis on sewage discharge treatment: obtain the continuous value and treatment value of the monitoring period at the end of the monitoring period, mark the sum of the continuous value and the treatment value as the supervision value of the monitoring period, and judge whether the sewage discharge treatment status within the monitoring period meets the requirements through the supervision value.

[0021] The present invention has the following beneficial effects:

[0022] 1. The component monitoring module can monitor and analyze the composition of sewage. Taking harmful components as the monitoring unit, the maximum value of the content of all harmful components within the monitoring period is counted. Then, the monitoring period is differentiated and marked according to the statistical results of all harmful components. In case of abnormality, an abnormal sewage discharge alarm is triggered.

[0023] 2. The traceability matching module can be used to perform traceability matching on abnormal periods, and provide feedback on the probability of abnormal discharge of the analyzed object by component comparison. The treatment object can then be marked based on the comparison results, thereby improving the efficiency of curbing abnormal sewage discharge at the source;

[0024] 3. The sewage discharge treatment can be supervised and analyzed through the treatment supervision module. The supervision value can be obtained by combining the abnormal period in the entire monitoring cycle with the marking status of the treatment object. The supervision value can then be used to provide feedback on the status of sewage discharge treatment during the monitoring cycle. In the event of an abnormality, treatment optimization can be carried out in a timely manner to ensure that subsequent sewage can meet the discharge standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a flow chart of the method of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0029] Example 1: Figure 1 As shown, an online sewage monitoring system based on Internet of Things technology includes a component monitoring module, a traceability matching module and a governance supervision module connected in sequence.

[0030] The component monitoring module can monitor and analyze the components of sewage: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the content value of each harmful component in the sewage in real time during the monitoring period, mark the maximum content value during the monitoring period as the monitoring value of the harmful component, call the monitoring threshold of the harmful component, and compare the monitoring value of the harmful component with the monitoring threshold: if the monitoring value is less than the monitoring threshold, the corresponding harmful component is marked as a normal component; if the monitoring value is greater than or equal to the monitoring threshold, the corresponding harmful component is marked as an abnormal component; if all harmful components are marked as normal components, it is determined that the sewage discharge during the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; otherwise, it is determined that the sewage discharge during the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period; taking the harmful component as the monitoring unit, the maximum content value of all harmful components during the monitoring period is counted, and then the monitoring period is differentiated according to the statistical results of all harmful components, and a sewage discharge abnormality alarm is triggered when an abnormality occurs.

[0031] The traceability matching module is used to perform traceability matching processing on abnormal time periods: all abnormal components within the abnormal period constitute an abnormal set, and the enterprises and factories involved in sewage discharge are marked as analysis objects. The sewage components of the analysis object are marked by the production products, production processes and production raw materials of the analysis object. The emission set is composed of all sewage components of the analysis object, and the emission set is compared with the abnormal set: the ratio of the number of overlapping elements between the emission set and the abnormal set to the number of elements in the abnormal set is marked as the overlap coefficient of the analysis object, and the analysis object with the largest overlap coefficient value is marked as the processing object, and the processing object is sent to the mobile phone terminal of the manager; the emission anomaly probability of the analysis object is fed back in the form of component comparison, so that the processing object is marked according to the comparison results, thereby improving the efficiency of curbing sewage discharge anomalies at the source.

[0032] The governance supervision module is used to conduct supervision and analysis on sewage discharge governance: at the end of the monitoring period, the continuous value and treatment value of the monitoring period are obtained. The process of obtaining the continuous value includes: eliminating the abnormal period between two normal periods in the monitoring period, and marking the number of abnormal periods in the monitoring period after elimination as a continuous value; the process of obtaining the treatment value includes: obtaining the number of times the analysis object is marked as a treatment object in the monitoring period and marking it as an evaluation value, and comparing the evaluation value with the preset evaluation threshold: if the evaluation value is less than the evaluation threshold, the corresponding treatment object is marked as an irrelevant object; if the evaluation value is greater than or equal to the evaluation threshold, the corresponding treatment object is marked as an alarm object, and the alarm object is The number of is marked as the treatment value; the sum of the continuous value and the treatment value is marked as the supervision value of the monitoring period, and the supervision value is compared with the preset supervision threshold: if the supervision value is less than the supervision threshold, it is determined that the sewage discharge treatment status within the monitoring period meets the requirements; otherwise, it is determined that the sewage discharge treatment status within the monitoring period does not meet the requirements, and a treatment optimization signal is generated and sent to the mobile phone terminal of the manager; the supervision value is obtained by analyzing the abnormal period and the marking status of the treatment object in the entire monitoring period, so as to feedback the degree of the sewage discharge treatment status within the monitoring period through the supervision value, and timely perform treatment optimization in the event of an abnormality to ensure that the subsequent sewage can meet the discharge standards.

[0033] Example 2: Figure 2 As shown, a sewage online monitoring method based on Internet of Things technology includes the following steps:

[0034] Step 1: Monitor and analyze the components of sewage: Generate a monitoring cycle and divide it into several monitoring periods. During the monitoring period, obtain the content value of each harmful component in the sewage in real time. Mark the maximum content value during the monitoring period as the monitoring value of the harmful component. Use the monitoring value to mark the monitoring period as a normal period or an abnormal period.

[0035] Step 2: Trace and match the abnormal period: All abnormal components within the abnormal period are combined into an abnormal set, and the enterprises and factories involved in wastewater discharge are marked as analysis objects. The treatment objects in the analysis objects are screened and marked;

[0036] Step 3: Conduct supervision and analysis on sewage discharge treatment: obtain the continuous value and treatment value of the monitoring period at the end of the monitoring period, mark the sum of the continuous value and the treatment value as the supervision value of the monitoring period, and judge whether the sewage discharge treatment status within the monitoring period meets the requirements through the supervision value.

[0037] A sewage online monitoring system based on Internet of Things technology generates a monitoring cycle and divides the monitoring cycle into several monitoring time periods when in operation. During the monitoring time period, the content value of each harmful component in the sewage is obtained in real time, the maximum value of the content value during the monitoring time period is marked as the monitoring value of the harmful component, and the monitoring time period is marked as a normal time period or an abnormal time period based on the monitoring value; all abnormal components in the abnormal time period form an abnormal set, enterprises and factories involved in sewage discharge are marked as analysis objects, and treatment objects among the analysis objects are screened and marked; at the end of the monitoring cycle, the continuous value and treatment value of the monitoring cycle are obtained, the sum of the continuous value and the treatment value is marked as the supervision value of the monitoring cycle, and whether the sewage discharge treatment status during the monitoring cycle meets the requirements is judged based on the supervision value.

[0038] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0039] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0040] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A sewage online monitoring system based on Internet of Things technology, characterized in that: It includes a component monitoring module, a traceability matching module, and a governance supervision module connected in sequence; The component monitoring module can monitor and analyze the components of sewage: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, obtain the content value of each harmful component in the sewage in real time during the monitoring time period, mark the maximum content value during the monitoring time period as the monitoring value of the harmful component, mark the harmful component as a normal component or an abnormal component based on the monitoring value, and mark the monitoring time period as a normal period or an abnormal period based on the marking result of the abnormal component; The traceability matching module is used to perform traceability matching processing on the abnormal period and mark the processing object, and send the processing object to the mobile terminal of the manager; The governance supervision module is used to supervise and analyze sewage discharge governance: obtain the continuous value and treatment value of the monitoring period at the end of the monitoring period; mark the sum of the continuous value and the treatment value as the supervision value of the monitoring period, and judge whether the sewage discharge governance status within the monitoring period meets the requirements through the supervision value.

2. The online sewage monitoring system based on Internet of Things technology according to claim 1 is characterized in that: The specific process of marking harmful components as normal components or abnormal components includes: retrieving the monitoring threshold of the harmful components, and comparing the monitoring value of the harmful components with the monitoring threshold: if the monitoring value is less than the monitoring threshold, the corresponding harmful component is marked as a normal component; if the monitoring value is greater than or equal to the monitoring threshold, the corresponding harmful component is marked as an abnormal component.

3. The online sewage monitoring system based on Internet of Things technology according to claim 2 is characterized in that: The specific process of marking the monitoring period as a normal period or an abnormal period includes: if all harmful components are marked as normal components, it is determined that the sewage discharge during the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; otherwise, it is determined that the sewage discharge during the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period.

4. The online sewage monitoring system based on Internet of Things technology according to claim 3 is characterized in that: The specific process of the traceability matching module for traceability matching of abnormal time periods includes: forming an abnormal set with all abnormal components within the abnormal period, marking the enterprises and factories involved in sewage discharge as analysis objects, marking the sewage components of the analysis objects through the production products, production processes and production raw materials of the analysis objects, forming an emission set with all sewage components of the analysis objects, comparing the emission set with the abnormal set: marking the ratio of the number of overlapping elements between the emission set and the abnormal set to the number of elements in the abnormal set as the overlap coefficient of the analysis object, and marking the analysis object with the largest overlap coefficient value as the processing object.

5. The online sewage monitoring system based on Internet of Things technology according to claim 4 is characterized in that: The process of obtaining continuous values ​​includes: eliminating abnormal time periods between two normal time periods in the monitoring period, and marking the number of abnormal time periods in the monitoring period after elimination as continuous values; the process of obtaining processing values ​​includes: obtaining the number of times the analysis object is marked as a processing object in the monitoring period and marking it as an evaluation value, and comparing the evaluation value with a preset evaluation threshold: if the evaluation value is less than the evaluation threshold, the corresponding processing object is marked as an irrelevant object; if the evaluation value is greater than or equal to the evaluation threshold, the corresponding processing object is marked as an alarm object, and the number of alarm objects is marked as the processing value.

6. The online sewage monitoring system based on Internet of Things technology according to claim 5 is characterized in that: The specific process of determining whether the sewage discharge treatment status within the monitoring period meets the requirements includes: comparing the supervision value with the preset supervision threshold: if the supervision value is less than the supervision threshold, it is determined that the sewage discharge treatment status within the monitoring period meets the requirements; otherwise, it is determined that the sewage discharge treatment status within the monitoring period does not meet the requirements, generating a treatment optimization signal and sending the treatment optimization signal to the mobile phone terminal of the manager.

7. The online sewage monitoring system based on Internet of Things technology according to any one of claims 1 to 6, characterized in that: The working method of the sewage online monitoring system based on Internet of Things technology includes the following steps: Step 1: Monitor and analyze the components of sewage: Generate a monitoring cycle and divide it into several monitoring periods. During the monitoring period, obtain the content value of each harmful component in the sewage in real time. Mark the maximum content value during the monitoring period as the monitoring value of the harmful component. Use the monitoring value to mark the monitoring period as a normal period or an abnormal period. Step 2: Trace and match the abnormal period: All abnormal components within the abnormal period are combined into an abnormal set, and the enterprises and factories involved in wastewater discharge are marked as analysis objects. The treatment objects in the analysis objects are screened and marked; Step 3: Conduct supervision and analysis on sewage discharge treatment: obtain the continuous value and treatment value of the monitoring period at the end of the monitoring period, mark the sum of the continuous value and the treatment value as the supervision value of the monitoring period, and judge whether the sewage discharge treatment status within the monitoring period meets the requirements through the supervision value.

Images