Automatic monitoring system for industrial wastewater network and method, device, storage medium thereof

Abstract

The application provides an automatic monitoring system and method for an industrial wastewater pipe network, and an equipment and a storage medium, and the system comprises: a plurality of water quality monitoring devices arranged at monitoring nodes of the industrial wastewater pipe network, wherein the monitoring nodes are located at junctions of at least two factory branch pipes, junctions of the factory branch pipes and a main pipe network, wastewater outlets and water inlets of a wastewater purification plant; a monitoring terminal in communication connection with the water quality monitoring devices, and provided with node water quality indexes of the monitoring nodes in advance, and used for performing abnormality detection and abnormality early warning according to the node water quality indexes and real-time water quality monitoring values of the same monitoring node. According to the technical scheme of the embodiment of the application, the water quality monitoring devices are arranged at the monitoring nodes, the corresponding node water quality indexes of each monitoring node are set in the monitoring terminal, and a node and a system basis are provided for the self-defined water quality monitoring standard, and the timeliness and accuracy of wastewater monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of wastewater monitoring technology, and in particular to an automatic monitoring system, method, equipment, and storage medium for industrial wastewater pipe networks. Background Technology

[0002] Wastewater pipe networks connect the discharge outlets of different factories, merging into the main pipe network after branch pipe confluence, and finally entering the wastewater treatment plant. Due to the large scale of the wastewater pipe network, current monitoring technologies mainly target the overall water quality and quantity of the wastewater network, monitoring water quality through unified standards and proposing targeted measures for factory discharges or wastewater treatment based on the monitoring results. However, different factories have different discharge standards, and the water quality and quantity in the main pipe network are easily affected by external water intrusion. Conventional pipe network monitoring cannot identify and judge the discharge of industrial wastewater of different concentrations and the situation of external water intrusion. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes an automatic monitoring system, method, equipment, and storage medium for industrial wastewater pipe networks, which can classify and monitor emissions from different factories, thereby improving the timeliness and accuracy of wastewater monitoring.

[0004] In a first aspect, embodiments of the present invention provide an automatic monitoring system for an industrial wastewater pipeline network. The industrial wastewater pipeline network includes a main pipeline network and factory branch pipes. Each factory branch pipe belongs to a factory and is connected to multiple wastewater outlets of its respective factory. The factory branch pipes merge into the main pipeline network, which is connected to a wastewater treatment plant. The automatic monitoring system for the industrial wastewater pipeline network includes:

[0005] Multiple water quality monitoring devices are installed at various monitoring nodes of the industrial wastewater pipeline network. The monitoring nodes are located at the confluence of at least two of the factory branch pipes, the confluence of each of the factory branch pipes and the main pipeline network, each of the wastewater outlets, and the inlet of the wastewater purification plant.

[0006] The monitoring terminal is communicatively connected to each of the water quality monitoring devices. The monitoring terminal is pre-set with node water quality indicators for each of the monitoring nodes. The monitoring terminal is used to perform anomaly detection and anomaly warning based on the node water quality indicators and real-time water quality monitoring values ​​of the same monitoring node.

[0007] According to some embodiments of the present invention, it further includes:

[0008] Multiple water monitoring devices are installed at each of the monitoring nodes. The water monitoring devices are communicatively connected to the monitoring terminal and are used to feed back the real-time water monitoring values ​​of the monitoring nodes to the monitoring terminal.

[0009] According to some embodiments of the present invention, the main pipeline network includes multiple monitoring nodes, and the distance between two adjacent monitoring nodes in the main pipeline network is equal to a preset distance threshold.

[0010] Secondly, embodiments of the present invention also provide an automatic monitoring method for industrial wastewater pipe networks, applied to the monitoring terminal of an automatic monitoring system for industrial wastewater pipe networks as described in the first aspect, the automatic monitoring method for industrial wastewater pipe networks comprising:

[0011] Obtain the real-time water quality monitoring value fed back by the water quality monitoring device, and determine the monitoring node associated with the water quality monitoring device that feeds back the real-time water quality monitoring value as the target node;

[0012] Obtain the node water quality indicators that are pre-associated with the target node, and determine the abnormal detection result of the target node based on the node water quality indicators and the real-time water quality monitoring value;

[0013] When the anomaly detection result is used to indicate water quality anomalies, anomaly feedback information is generated for the target node.

[0014] According to some embodiments of the present invention, obtaining the node water quality indicators pre-associated with the target node includes:

[0015] When the target node is located at the wastewater outlet, the first preset water quality index of the factory to which the wastewater outlet belongs is determined as the node water quality index.

[0016] Alternatively, when the target node is located at the inlet of the wastewater purification plant, the second preset water quality index of the wastewater purification plant is determined as the water quality index of the node.

[0017] Alternatively, when the target node is located at the confluence of two of the plant branch pipes or at the confluence of each of the plant branch pipes and the main pipeline network, the preset standard water quality index is determined as the node water quality index.

[0018] According to some embodiments of the present invention, determining the anomaly detection result of the target node based on the node water quality index and the real-time water quality monitoring value includes:

[0019] The current first concentration level of the target node is determined based on the node water quality indicators and the real-time water quality monitoring values.

[0020] The historical average water quality value and the second concentration level of the target node are obtained, wherein the second concentration level is determined based on the real-time water quality monitoring value collected by the target node in the last time and the node water quality index;

[0021] When the first concentration level is greater than the second concentration level, the abnormal detection result is determined to be a water quality abnormality;

[0022] Alternatively, when the first concentration level is equal to the second concentration level, and the deviation between the real-time water quality monitoring value and the historical water quality average value is greater than a preset deviation threshold, the abnormal detection result is determined to be a water quality anomaly.

[0023] According to some embodiments of the present invention, after generating the abnormal feedback information for the target node, the method further includes:

[0024] The monitoring node located downstream of the target node is identified as the associated node;

[0025] Based on the real-time water quality monitoring values ​​and node water quality indicators of each associated node, the abnormal detection results corresponding to the associated node are determined;

[0026] Based on the anomaly detection results, an abnormal node set is constructed from the associated nodes and the target nodes that indicate water quality anomalies. The target nodes and multiple associated nodes are arranged in an orderly manner in the abnormal node set according to the wastewater flow direction.

[0027] The root causes of water quality anomalies in the industrial wastewater pipeline network are determined based on the set of abnormal nodes.

[0028] According to some embodiments of the present invention, determining the root cause of water quality anomalies in the industrial wastewater pipeline network based on the set of abnormal nodes includes:

[0029] Select any first node from the set of abnormal nodes, and determine the adjacent associated node located downstream of the first node as the second node;

[0030] The difference between the real-time water quality monitoring value of the first node and the real-time water quality monitoring value of the second node is determined as the inter-node concentration difference;

[0031] When the concentration difference between the nodes is greater than the deviation threshold, the section of the factory branch pipe and / or the main pipeline between the first node and the second node is identified as the external water intrusion section.

[0032] Thirdly, embodiments of the present invention provide an electronic device, including at least one control processor and a memory for communicatively connecting with the at least one control processor; the memory stores instructions executable by the at least one control processor, the instructions being executed by the at least one control processor to enable the at least one control processor to perform the automatic monitoring method for industrial wastewater pipe networks as described in the second aspect above.

[0033] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions for performing the automatic monitoring method for industrial wastewater pipe networks as described in the second aspect above.

[0034] The automatic monitoring method for industrial wastewater pipe networks according to embodiments of the present invention has at least the following beneficial effects: Multiple water quality monitoring devices are installed at various monitoring nodes of the industrial wastewater pipe network, wherein the monitoring nodes are located at the confluence of at least two factory branch pipes, the confluence of each factory branch pipe with the main pipe network, each wastewater outlet, and the inlet of the wastewater purification plant; a monitoring terminal is communicatively connected to each of the water quality monitoring devices, and the monitoring terminal is pre-set with node water quality indicators for each monitoring node. The monitoring terminal is used to perform anomaly detection and anomaly warning based on the node water quality indicators and real-time water quality monitoring values ​​of the same monitoring node. According to the technical solution of the present invention, water quality monitoring devices can be installed at multiple monitoring nodes, and corresponding node water quality indicators can be set for each monitoring node at the monitoring terminal. The node water quality indicators characterize the emission standards required for each monitoring node, providing a node and system basis for customized water quality monitoring and improving the timeliness and accuracy of wastewater monitoring. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of an automatic monitoring system for industrial wastewater pipe networks provided in one embodiment of the present invention;

[0036] Figure 2 This is a flowchart of an automatic monitoring method for industrial wastewater pipe networks provided in one embodiment of the present invention;

[0037] Figure 3 This is a complete flowchart of an automatic monitoring method for industrial wastewater pipe networks provided in another embodiment of the present invention;

[0038] Figure 4 This is a structural diagram of an electronic device provided in another embodiment of the present invention.

[0039] Explanation of reference numerals in the attached figures:

[0040] 10 First Factory, 11 First Drainage Outlet, 12 First Combination Point, 13 Branch Pipe of First Factory, 20 Second Factory, 21 Second Drainage Outlet, 22 Second Combination Point, 23 Branch Pipe of Second Factory; 30 Third Factory; 31 Third Drainage Outlet, 32 Third Combination Point, 33 Branch Pipe of Third Factory, 41 Fourth Combination Point, 42 Fifth Combination Point, 50 Main Pipeline Network, 51 Main Pipeline, 52 Main Monitoring Node, 60 Wastewater Purification Plant, 61 Wastewater Inlet, 70 Monitoring Terminal. Detailed Implementation

[0041] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0042] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0043] In the description of this invention, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0044] In the description of this invention, unless otherwise explicitly defined, terms such as "set up," "install," and "connect" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0045] This invention provides an automatic monitoring system, method, equipment, and storage medium for an industrial wastewater pipeline network. The system includes: multiple water quality monitoring devices installed at various monitoring nodes of the industrial wastewater pipeline network; these monitoring nodes are located at the confluence of at least two factory branch pipes, the confluence of each factory branch pipe with the main pipeline, each wastewater outlet, and the inlet of the wastewater treatment plant; and a monitoring terminal communicatively connected to each of the water quality monitoring devices. The monitoring terminal is pre-set with node water quality indicators for each monitoring node and is used for anomaly detection and early warning based on the node water quality indicators and real-time water quality monitoring values ​​for the same monitoring node. According to the technical solution of this invention, water quality monitoring devices can be installed at multiple monitoring nodes, and corresponding node water quality indicators can be set for each monitoring node at the monitoring terminal. These node water quality indicators characterize the emission standards required for each monitoring node, providing a node and system foundation for customized water quality monitoring and improving the timeliness and accuracy of wastewater monitoring.

[0046] Reference Figure 1 , Figure 1 This is a schematic diagram of an automatic monitoring system for an industrial wastewater pipeline network provided in an embodiment of the present invention. The industrial wastewater pipeline network in this embodiment includes a main pipeline network 50 and factory branch pipes. Each factory branch pipe belongs to a factory and is connected to multiple wastewater outlets of its respective factory. The factory branch pipes merge into the main pipeline network 50, which is connected to a wastewater purification plant 60. The automatic monitoring system for the industrial wastewater pipeline network includes:

[0047] Multiple water quality monitoring devices are installed at various monitoring nodes in the industrial wastewater pipeline network. The monitoring nodes are located at the confluence of at least two factory branch pipes, the confluence of each factory branch pipe and the main pipeline network, each wastewater outlet, and the inlet of the wastewater purification plant.

[0048] The monitoring terminal 70 is connected to each water quality monitoring device. The monitoring terminal 70 is pre-set with the node water quality indicators of each monitoring node. The monitoring terminal 70 is used to detect and warn of anomalies based on the node water quality indicators and real-time water quality monitoring values ​​of the same monitoring node.

[0049] It should be noted that the water quality monitoring device in this embodiment can be a collection of multiple monitoring devices, such as common chemical oxygen demand (COD) water quality analyzers and ammonia nitrogen analyzers. This embodiment does not limit the specific type of water quality monitoring device.

[0050] It should be noted that each monitoring node is equipped with a water quality monitoring device. In this embodiment, the monitoring nodes include each wastewater outlet. Installing a water quality monitoring device at the wastewater outlet enables monitoring of the wastewater quality discharged from the factory, achieving automatic detection of engineering discharges. The monitoring nodes in this embodiment also include the confluence of two factory branch pipes and the confluence of each factory branch pipe with the main pipeline network. Factory branch pipes can be connected to the main pipeline network after confluence. For factory branch pipes that are close to the main pipeline network, they can also be directly connected to the main pipeline network according to the actual situation. Therefore, this embodiment uses each confluence point as a monitoring node, enabling the monitoring device to determine whether the wastewater quality after confluence meets the standards. Combined with water quality monitoring at the wastewater discharge outlet, this provides data for improving water quality.

[0051] If the water quality at a monitoring node is abnormal, the water quality in the subsequent pipeline will also be abnormal. Furthermore, through the water quality monitoring of a series of monitoring nodes in this embodiment, the trend of wastewater quality changes can be predicted or analyzed, thereby determining the root cause of the water quality abnormality and providing a data basis for water quality analysis and subsequent improvement.

[0052] For example, such as Figure 1 As shown, taking the industrial wastewater pipeline connecting the first factory 10, the second factory 20 and the third factory 30 as an example, the first factory 10 is equipped with one first drain outlet 11, a first confluence point 12 and a first factory branch pipe 13; the second factory 20 is equipped with three second drain outlets 21, a second confluence point 22 and a second factory branch pipe 23; and the third factory 30 is equipped with three third drain outlets 31, a third confluence point 32 and a third factory branch pipe 33. A water quality monitoring device is installed at the first drainage outlet 11, the second drainage outlet 21, and the third drainage outlet 31 to monitor the wastewater quality discharged from each factory. A water quality monitoring device is installed at the first confluence point 12, the second confluence point 22, and the third confluence point 33 to monitor the wastewater quality after it flows from the drainage outlets into the corresponding factory branch pipes. The first factory 10 and the second factory 20 need to merge before connecting to the main pipeline network 50. The branch pipes 13 of the first factory and 23 of the second factory merge at the fourth confluence point 41, and the branch pipe 33 of the third factory merges directly into the main pipeline network 50 at the fifth confluence point 42. Water quality monitoring devices are installed at the fourth confluence point 41 and the fifth confluence point 42 to monitor the water quality after the factory branch pipes merge. A water quality monitoring device is installed at the wastewater inlet 61 of the wastewater purification plant 60 to monitor the wastewater quality flowing into the wastewater purification plant 60.

[0053] It should be noted that, according to the technical solution of the above embodiments, water quality monitoring devices can be set up at multiple monitoring nodes. However, the control requirements based on water quality monitoring may differ for different factories. For example, for... Figure 1As shown in the first factory 10, when the COD concentration at the first discharge outlet 11 is X, and the COD concentration at the second discharge outlet 21 of the second factory 20 is Y, taking X and Y as both positive numbers and X>Y as an example, it is very likely that no control measures need to be taken for the first factory 10, but some optimization measures need to be taken for the second factory 20. That is, the requirements for triggering control may be different for different types of factories. Based on this, this embodiment sets node water quality indicators for each monitoring node in the monitoring terminal 70, thereby realizing the customization of indicators for different monitoring nodes. After the monitoring terminal 70 obtains the real-time water quality monitoring value of each monitoring node, it performs anomaly detection according to the bound node water quality indicators, thereby improving the flexibility and response time of the monitoring system.

[0054] Additionally, in one embodiment, it further includes:

[0055] Multiple water monitoring devices are installed at each monitoring node. The water monitoring devices are connected to the monitoring terminal and are used to feed back the real-time water monitoring values ​​of the monitoring nodes to the monitoring terminal.

[0056] It should be noted that, in this embodiment, water quantity monitoring devices are further set up at each monitoring node. The water quantity monitoring device can be a common electromagnetic flow meter. Each monitoring node forms a monitoring station through the water quality monitoring device and the water quantity monitoring device, and reports the real-time water quality monitoring value and the real-time water quantity monitoring value to the monitoring terminal to achieve centralized monitoring.

[0057] Additionally, in one embodiment, reference is made to Figure 1 The main pipeline network 50 includes multiple monitoring nodes, and the distance between two adjacent monitoring nodes in the main pipeline network 50 is equal to a preset distance threshold.

[0058] It should be noted that the scale of the main pipeline network 50 is usually large, and the length of the main pipeline 51 is also long. Therefore, multiple monitoring nodes can be set in the main pipeline 51 of the main pipeline network 50 to realize segmented monitoring of the long pipeline. This enables real-time monitoring of external water intrusion in the main pipeline 51. The distance threshold between two monitoring nodes can be set according to actual needs, such as 3 kilometers. No further restrictions are imposed here.

[0059] For example, such as Figure 1 As shown, the main pipeline network 50 includes a main pipeline 51, and four main monitoring nodes 52 are set in the main pipeline 51. The distance between each main monitoring node 52 is 3 kilometers. When there is a large concentration difference in the water quality between two main monitoring nodes 52, it can be determined that there is external water intrusion in that section of the main pipeline 51, and an early warning will be issued and subsequent rectification will be carried out.

[0060] In addition, this embodiment of the invention also provides an automatic monitoring method for industrial wastewater pipe networks, applied to the monitoring terminal of the automatic monitoring system for industrial wastewater pipe networks as described above, referring to... Figure 2 Automatic monitoring methods for industrial wastewater pipe networks include, but are not limited to, the following steps:

[0061] S10, obtain the real-time water quality monitoring value fed back by the water quality monitoring device, and determine the monitoring node associated with the water quality monitoring device that feeds back the real-time water quality monitoring value as the target node;

[0062] S20: Obtain the water quality indicators of the nodes pre-associated with the target node, and determine the abnormal detection results of the target node based on the node water quality indicators and real-time water quality monitoring values;

[0063] S30, when the anomaly detection result is used to indicate water quality anomalies, generate anomaly feedback information for the target node.

[0064] It should be noted that the water quality monitoring device at each monitoring node can send real-time water quality monitoring values ​​to the monitoring terminal at the same cycle, so that the monitoring terminal can monitor the water quality based on all real-time water quality monitoring values ​​at the same time. Of course, the monitoring cycle of monitoring points for different pipe sections can also be set according to actual needs. For example, the monitoring cycle of the monitoring nodes of the factory can be adjusted according to the factory's production time. This embodiment does not impose any restrictions on this.

[0065] It should be noted that in this embodiment, the monitoring node that is currently reporting real-time water quality monitoring values ​​is determined as the target node. When multiple monitoring nodes report simultaneously, the technical solution of this embodiment can be used to monitor the water quality.

[0066] It should be noted that, according to the description of the above system embodiment, each monitoring node is set with corresponding node water quality indicators. Therefore, after the target node is determined, anomaly detection can be performed based on the node water quality indicators of the target node, thereby enabling customized monitoring according to the monitoring needs of each monitoring node. Different monitoring indicators can also be set for different factory emissions, improving the flexibility of water quality monitoring.

[0067] For example, such as Figure 1As shown in the figure, the water quality indicators for the node of the factory type of the first factory 10 are set as follows: COD ≤ A is low concentration, A < COD ≤ B is medium concentration, and B < COD is high concentration, where A and B are natural numbers and the unit is mg / L. When the real-time water quality monitoring values reported by the water quality monitoring devices of the monitoring nodes at the first drainage outlet 11 and the first confluence 12 are obtained, the above-mentioned monitoring nodes are determined as target nodes, and the concentration levels are determined according to the above-mentioned node water quality indicators, and then the abnormal detection is completed. For another example, the water quality indicator set for the factory type of the second factory 20 is that COD ≤ C is low concentration, C < COD ≤ D is medium concentration, and D < COD is high concentration, where C and D are natural numbers and the unit is mg / L, and A < C < B < D is satisfied. When the real-time water quality monitoring values reported by the water quality monitoring devices of the monitoring nodes at the second drainage outlet 21 and the second confluence 22 are obtained, the above-mentioned monitoring nodes are determined as target nodes, and the concentration levels are determined according to the above-mentioned node water quality indicators, and then the abnormal detection is completed. For another example, the water quality indicators for the node set at the confluence are as follows: COD ≤ C is low concentration, C < COD ≤ D is medium concentration, and D < COD is high concentration. Then, after the real-time water quality monitoring value of the water quality monitoring device at the fourth confluence 41 is obtained, it is determined as a target node and abnormal detection is performed according to the above-mentioned node water quality indicators. The node water quality indicators of each monitoring node can be the same or can be adjusted according to actual needs, and no more limitations are made here.

[0068] It should be noted that after the water quality abnormality is determined, in this embodiment, the monitoring system generates abnormal feedback information. For example, the real-time water quality monitoring values of multiple monitoring nodes can be horizontally compared by common methods to determine whether there is excessive discharge or external water intrusion. This embodiment does not limit the specific diagnosis method.

[0069] In addition, in one embodiment, referring to Figure 3 , in step S20, obtaining the node water quality indicators pre-associated with the target node specifically further includes but is not limited to the following steps:

[0070] S21, when the target node is located at the wastewater outlet, determine the first preset water quality indicator of the factory to which the wastewater outlet belongs as the node water quality indicator;

[0071] S22, when the target node is located at the inlet of the wastewater treatment plant, determine the second preset water quality indicator of the wastewater treatment plant as the node water quality indicator;

[0072] S23, when the target node is located at the confluence of two factory branch pipes or the confluence of each factory branch pipe and the main pipe network, determine the preset standard water quality indicator as the node water quality indicator.

[0073] It should be noted that after determining the target node, in this embodiment, the first preset water quality index of the factory where the target node is located is determined as the node water quality index, and the same node water quality index is adopted for the discharge pipelines of the same factory to ensure the accuracy of water quality monitoring.

[0074] Exemplarily, referring to the example of the above embodiment, the first preset water quality index for the first factory 10 is as follows: COD≤A is low concentration, A<COD≤B is medium concentration, B<COD is high concentration. Although the monitoring nodes of the first drainage outlet 11, the first confluence 12, and the first factory branch pipe 13 are located in different positions and areas of the pipeline, they all belong to the discharge of the first factory 10. Therefore, the same water quality index can be adopted for water quality monitoring.

[0075] It should be noted that the inlet of the wastewater treatment plant is connected to the main pipe network, and the wastewater discharged from each factory is mixed and then discharged into the main pipe network. Therefore, the wastewater finally entering the wastewater treatment plant includes the discharges from each factory. In this embodiment, a second preset water quality index is set for the inlet of the wastewater treatment plant, and the input water quality of the wastewater treatment plant is monitored through the second water quality index.

[0076] It should be noted that the confluence of two factory branch pipes or the confluence of a factory branch pipe and the main pipe network belongs to the intersection point of the pipe network, and the wastewater from at least two discharge sources converges at the target node, and the water quality concentration will change to a certain extent. Therefore, the standard water quality index can be adopted as the node water quality index to ensure that the water quality discharged into the main pipe network meets the requirements. For example, the standard water quality index can adopt the local discharge standard. For example, COD≤100mg / L is low concentration, 100mg / L<COD≤350mg / L is medium concentration, 350mg / L<COD is high concentration. The specific standard can be set according to the standard of the location where the wastewater pipe network is located.

[0077] In addition, in one embodiment, referring to Figure 3 , in step S20, the abnormal detection result of the target node is determined according to the node water quality index and the real-time water quality monitoring value, and specifically includes but is not limited to the following steps:

[0078] S24, determining the current first concentration level of the target node according to the node water quality index and the real-time water quality monitoring value,

[0079] S25, obtaining the historical water quality average value and the second concentration level of the target node, where the second concentration level is determined based on the real-time water quality monitoring value and the node water quality index collected last time at the target node;

[0080] S26, when the first concentration level is greater than the second concentration level, determining the abnormal detection result as water quality abnormality;

[0081] S27. When the first concentration level is equal to the second concentration level, and the deviation between the real-time water quality monitoring value and the historical water quality average value is greater than the preset deviation threshold, the abnormal detection result is determined as a water quality abnormality.

[0082] It should be noted that, referring to the description of the above embodiments, the concentration level can be set as low concentration, medium concentration and high concentration, or it can be set as level one, level two, ... level N, etc., and the specific level system is not limited here.

[0083] It should be noted that, in order to monitor water quality anomalies, this embodiment introduces historical data as a reference. When the concentration level of the same monitoring node changes, for example, from low concentration to medium concentration, it can be determined that the water quality at that monitoring node is abnormal. To improve the reliability of the data, after each acquisition of the real-time water quality monitoring value of the monitoring node, this embodiment saves the data as historical values ​​after the current judgment is completed, and calculates the average historical water quality value by averaging all historical values. At the same time, it records the second concentration level of the previous period, thus detecting water quality anomalies from two dimensions: concentration level and the magnitude of the numerical change.

[0084] It should be noted that when the first concentration level is greater than the second concentration level, the water quality at the target node has changed, which can be considered an anomaly, such as a change from low concentration to medium concentration. When the first concentration level is equal to the second concentration level, the water concentration has not changed. However, referring to the example above, each concentration level is represented by a numerical range. Therefore, when a significant numerical change occurs within the same concentration level, an anomaly can also be identified. For example, setting a 20% deviation threshold, if the deviation of the current real-time water quality monitoring value from the historical average water quality is greater than 20%, even if it is still a low concentration, it can be determined that the current water quality is abnormal, thus confirming the anomaly detection result as a water quality anomaly.

[0085] Additionally, in one embodiment, reference is made to Figure 3 After step S30 is completed, the following steps are included, but are not limited to:

[0086] S41, identify the monitoring node located downstream of the target node as the associated node;

[0087] S42, Based on the real-time water quality monitoring values ​​and node water quality indicators of each associated node, determine the abnormal detection results corresponding to the associated node;

[0088] S43, construct an abnormal node set based on the associated nodes and target nodes indicating water quality abnormalities according to the abnormal detection results, wherein the target nodes and multiple associated nodes are arranged in an orderly manner according to the wastewater flow direction in the abnormal node set;

[0089] S44, determine the root causes of water quality anomalies in industrial wastewater pipe networks based on the set of abnormal nodes.

[0090] It should be noted that after the target node is determined to be abnormal according to the above embodiment, the downstream monitoring nodes may also show the same water quality abnormality. In order to determine the scope of the water quality abnormality, this embodiment determines the monitoring nodes downstream of the target node as associated nodes. The same method is used to detect water quality abnormalities for each associated node to obtain abnormality detection results. Each associated node with an abnormality detection result of water quality abnormality is recorded and together with the target node, an abnormal node set is constructed. This allows the pipe section area with water quality abnormality to be determined, thereby completing the root cause diagnosis.

[0091] For example, such as Figure 1 As shown, when an abnormal water quality is detected at the first drain outlet 11, all monitoring nodes of the first drain outlet 11, the first confluence point 12, the fourth confluence point 41, the main pipeline network 50, and the wastewater inlet 61 are identified as associated nodes. When the abnormal detection results of the first drain outlet 11, the first confluence point 12, and the fourth confluence point 41 indicate abnormal water quality, but the abnormal detection results of the main pipeline network 50 and the wastewater inlet 61 indicate normal water quality, the abnormal node set records the first drain outlet 11, the first confluence point 12, and the fourth confluence point 41, and then perform root cause diagnosis. The specific diagnostic methods are not limited here.

[0092] Additionally, in one embodiment, reference is made to Figure 3 Step S44 specifically includes, but is not limited to, the following steps:

[0093] S441, Select any first node from the set of abnormal nodes, and determine the adjacent associated nodes downstream of the first node as the second node;

[0094] S442, the difference between the real-time water quality monitoring value of the first node and the real-time water quality monitoring value of the second node is determined as the concentration difference between nodes;

[0095] S443, when the concentration difference between nodes is greater than the deviation threshold, the section of the plant branch pipe and / or main pipeline between the first node and the second node is identified as the external water intrusion section.

[0096] It should be noted that since the nodes in the abnormal node set are arranged in an orderly manner, there is an upstream and downstream relationship. Based on two adjacent upstream and downstream nodes as the first node and the second node, the real-time water quality monitoring values ​​of the first node and the second node are compared. When the concentration difference between the nodes is greater than the deviation threshold, it is determined that there is external water intrusion in the pipe section between the two nodes, which causes water quality concentration fluctuation. Of course, the concentration difference between the two monitoring nodes can also be statistically analyzed based on historical data. For example, when the concentration difference between the nodes deviates from the historical average concentration by 20%, it indicates that there is external water intrusion between the two points.

[0097] like Figure 4 As shown, Figure 4 This is a structural diagram of an electronic device provided in one embodiment of the present invention. The present invention also provides an electronic device, comprising:

[0098] The processor 401 can be implemented using a general-purpose central processing unit (CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0099] The memory 402 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 402 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 402 and is called and executed by the processor 401 to execute the automatic monitoring method for industrial wastewater pipe networks according to the embodiments of this application.

[0100] Input / output interface 403 is used to implement information input and output;

[0101] The communication interface 404 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0102] Bus 405 transmits information between various components of the device (e.g., processor 401, memory 402, input / output interface 403, and communication interface 404);

[0103] The processor 401, memory 402, input / output interface 403 and communication interface 404 are connected to each other within the device via bus 405.

[0104] This application embodiment also provides a storage medium, which is a computer-readable storage medium, storing a computer program that, when executed by a processor, implements the above-mentioned automatic monitoring method for industrial wastewater pipe networks.

[0105] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate, and may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0106] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0107] The above provides a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. An automatic monitoring method for industrial wastewater pipe networks, characterized in that, The industrial wastewater pipeline network includes a main pipeline network and factory branch pipes. Each factory branch pipe belongs to a specific factory and connects to multiple wastewater outlets of that factory. These factory branch pipes merge into the main pipeline network, which connects to a wastewater treatment plant. The automatic monitoring system for the industrial wastewater pipeline network includes multiple water quality monitoring devices, monitoring terminals, and multiple water quantity monitoring devices. The water quality monitoring devices are installed at various monitoring nodes within the industrial wastewater pipeline network. These monitoring nodes are located at the confluence of at least two factory branch pipes, the confluence of each factory branch pipe with the main pipeline network, each wastewater outlet, and the inlet of the wastewater treatment plant. The monitoring terminal is communicatively connected to each of the water quality monitoring devices. The monitoring terminal is pre-set with node water quality indicators for each monitoring node. The monitoring terminal is used to perform anomaly detection and early warning based on the node water quality indicators and real-time water quality monitoring values ​​of the same monitoring node. The water volume monitoring device is installed at each monitoring node and is communicatively connected to the monitoring terminal. The water volume monitoring device is used to feed back the real-time water volume monitoring values ​​of the monitoring node to the monitoring terminal. The main pipeline network includes multiple monitoring nodes, and the distance between two adjacent monitoring nodes in the main pipeline network is equal to a preset distance threshold. The method is applied to the monitoring system, including: Obtain the real-time water quality monitoring value fed back by the water quality monitoring device, and determine the monitoring node associated with the water quality monitoring device that feeds back the real-time water quality monitoring value as the target node; Obtain the node water quality indicators pre-associated with the target node, determine the current first concentration level of the target node based on the node water quality indicators and the real-time water quality monitoring value, obtain the historical average water quality value and second concentration level of the target node, wherein the second concentration level is determined based on the real-time water quality monitoring value and the node water quality indicators collected last time by the target node; When the first concentration level is greater than the second concentration level, the abnormal detection result is determined to be a water quality abnormality; Alternatively, when the first concentration level is equal to the second concentration level, and the deviation between the real-time water quality monitoring value and the historical water quality average value is greater than a preset deviation threshold, the abnormal detection result is determined to be a water quality abnormality. When the anomaly detection result is used to indicate water quality anomalies, anomaly feedback information is generated for the target node; The monitoring node located downstream of the target node is identified as the associated node; Based on the real-time water quality monitoring values ​​and node water quality indicators of each associated node, the abnormal detection results corresponding to the associated node are determined; Based on the anomaly detection results, an abnormal node set is constructed from the associated nodes and the target nodes that indicate water quality anomalies. The target nodes and multiple associated nodes are arranged in an orderly manner in the abnormal node set according to the wastewater flow direction. Select any first node from the set of abnormal nodes, and determine the adjacent associated node located downstream of the first node as the second node; The difference between the real-time water quality monitoring value of the first node and the real-time water quality monitoring value of the second node is determined as the inter-node concentration difference; When the concentration difference between the nodes is greater than the deviation threshold, the section of the factory branch pipe and / or the main pipeline between the first node and the second node is identified as the external water intrusion section.

2. The automatic monitoring method for industrial wastewater pipe networks according to claim 1, characterized in that, The step of obtaining the node water quality indicators pre-associated with the target node includes: When the target node is located at the wastewater outlet, the first preset water quality index of the factory to which the wastewater outlet belongs is determined as the node water quality index. Alternatively, when the target node is located at the inlet of the wastewater purification plant, the second preset water quality index of the wastewater purification plant is determined as the water quality index of the node. Alternatively, when the target node is located at the confluence of two of the plant branch pipes or at the confluence of each of the plant branch pipes and the main pipeline network, the preset standard water quality index is determined as the node water quality index.

3. An electronic device, characterized in that, It includes at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions executable by the at least one control processor, which, when executed by the at least one control processor, enable the at least one control processor to perform the automatic monitoring method for industrial wastewater pipelines as described in any one of claims 1 to 2.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the automatic monitoring method for industrial wastewater pipe networks as described in any one of claims 1 to 2.

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