Water quality detection method, device, system and storage medium

Abstract

The application relates to the technical field of water quality detection, and provides a water quality detection method, device, system and storage medium. The method comprises the following steps: synchronously acquiring water quality detection results of a feedwater pipeline section, a blowdown pipeline section, a drainage pipeline section and a circulating water pipeline section of an industrial boiler device during operation; based on the water quality detection results of the pipeline sections, determining water quality key detection points, water quality ordinary detection points and node correlation coefficients between the water quality key detection points and the water quality ordinary detection points corresponding to the pipeline sections, and based on the node correlation coefficients in the nodes corresponding to the pipeline sections, determining final water quality detection results of the pipeline sections; based on inter-node correlation coefficients between nodes between the water quality key detection points corresponding to the pipeline sections, distributing water treatment control strategies and / or water quality detection control strategies to water quality detection control points corresponding to the pipeline sections. The application can comprehensively, accurately and systematically monitor water quality of each key link of the industrial boiler device during operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water quality detection, and in particular to a water quality detection method, device, system and storage medium. BACKGROUND

[0002] Poor water quality of an industrial boiler is prone to cause scale, corrosion, impurities blocking pipelines and other hazards of the industrial boiler equipment, thereby directly affecting the normal operation state of the industrial boiler equipment and reducing the safety and stability performance thereof.

[0003] Ensuring that the water quality of the water supply link, the pollution discharge link, the sewage treatment link and the circulating water link of the industrial boiler meets the standard is the key to ensuring that the industrial boiler can be in a normal and stable operation state during operation.

[0004] However, the current water quality detection method for the industrial boiler has not been able to comprehensively, accurately and systematically monitor the water quality of the water supply link, the pollution discharge link, the sewage treatment link and the circulating water link of the industrial boiler equipment during operation. SUMMARY

[0005] Therefore, the embodiments of the present application provide a water quality detection method, device, system and storage medium to solve the problem of how to comprehensively, accurately and systematically monitor the water quality of the water supply link, the pollution discharge link, the sewage treatment link and the circulating water link of the industrial boiler equipment during operation.

[0006] In a first aspect, the embodiments of the present application provide a water quality detection method applied to a water quality detection master control, comprising:

[0007] During operation of the industrial boiler equipment, water quality detection results of a water supply pipeline section, a pollution discharge pipeline section, a drainage pipeline section and a circulating water pipeline section of the industrial boiler equipment are synchronously acquired;

[0008] Based on the water quality detection results of each pipeline section, water quality key detection points, water quality ordinary detection points and inter-node correlation coefficients of the pipeline sections are determined, and based on the inter-node correlation coefficients of each pipeline section, final water quality detection results of each pipeline section are determined;

[0009] Based on inter-node correlation coefficients between two nodes of each water quality key detection point of each pipeline section, water treatment control strategies and / or water quality detection control strategies are distributed to each water quality detection sub-control.

[0010] In a second aspect, the embodiments of the present application provide a water quality detection system, comprising:

[0011] a water quality detection master control, a first water quality detection sub-control, a second water quality detection sub-control, a third water quality detection sub-control and a fourth water quality detection sub-control.

[0012] The water quality detection master controller is in communication connection with the first water quality detection sub-controller, the second water quality detection sub-controller, the third water quality detection sub-controller and the fourth water quality detection sub-controller respectively;

[0013] The first water quality detection sub-controller is configured to perform synchronous sampling detection on each water quality detection point in the feedwater pipeline section of the industrial boiler equipment, obtain a first water quality detection result, and upload the first water quality detection result to the water quality detection master controller;

[0014] The second water quality detection sub-controller is configured to perform synchronous sampling detection on each water quality detection point in the blowdown pipeline section of the industrial boiler equipment, obtain a second water quality detection result, and upload the second water quality detection result to the water quality detection master controller;

[0015] The third water quality detection sub-controller is configured to perform synchronous sampling detection on each water quality detection point in the blowdown pipeline section of the industrial boiler equipment, obtain a third water quality detection result, and upload the third water quality detection result to the water quality detection master controller;

[0016] The fourth water quality detection sub-controller is configured to perform synchronous sampling detection on each water quality detection point in the circulating water pipeline section of the industrial boiler equipment, obtain a fourth water quality detection result, and upload the fourth water quality detection result to the water quality detection master controller;

[0017] The water quality detection master controller is configured to perform the steps of the method of the first aspect.

[0018] In a third aspect of the embodiments of the present application, a water quality detection device is provided, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.

[0019] In a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0020] Compared with the prior art, the embodiment of the present application has at least the following beneficial effects: by synchronously acquiring the water quality detection results of the feedwater pipeline section, the blowdown pipeline section, the drainage pipeline section and the circulating water pipeline section of the industrial boiler equipment during operation of the industrial boiler equipment; based on the water quality detection results of each pipeline section, determining the water quality key detection points, the water quality ordinary detection points and the intra-pipeline node correlation coefficients between them corresponding to each pipeline section, and based on the intra-pipeline node correlation coefficients corresponding to each pipeline section, determining the final water quality detection result of each pipeline section; based on the inter-pipeline node correlation coefficients between the nodes between the water quality key detection points corresponding to each pipeline section, distributing the water treatment control strategy and / or the water quality detection control strategy to the water quality detection control of each pipeline section, so as to comprehensively, accurately and systematically monitor the water quality of the feedwater link, the blowdown link, the sewage treatment link and the circulating water link of the industrial boiler equipment during operation, which is beneficial to guarantee the normal operation of the industrial boiler and improve the safety and stability performance thereof. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 is a scene diagram of an application scenario of an embodiment of the present application;

[0023] Figure 2 is a flow diagram of a water quality detection method provided by an embodiment of the present application;

[0024] Figure 3 is a schematic diagram of a water quality detection process of a feedwater pipeline section provided by an embodiment of the present application;

[0025] Figure 4 is a structural diagram of a water quality detection system provided by an embodiment of the present application;

[0026] Figure 5 is a structural diagram of a water quality detection device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] In the following description, specific details such as specific system structures, techniques, etc. are presented in order to thoroughly understand the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits and methods are omitted to avoid unnecessary details that hinder the description of the present application.

[0028] A water quality detection method, device and system according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0029] Figure 1 is a schematic diagram of an application scenario of an embodiment of the present application. Please refer to Figure 1 , the application scenario can include a water supply tank 101, an industrial boiler device 102, a sewage tank 103, a circulating water tank 104, a first water quality detection sub-control 105, a second water quality detection sub-control 106, a third water quality detection sub-control 107, a fourth water quality detection sub-control 108, and a water quality detection master control 109. Among them, a water supply pipeline section is arranged between the water supply tank 101 and the industrial boiler device 102, and raw water in the water supply tank 101 can be transported to the industrial boiler device 102 through the water supply pipeline section. A sewage pipeline section is arranged between the industrial boiler device 102 and the sewage tank 103, and the waste water / sewage generated by the industrial boiler device 102 during production operation can be discharged into the sewage tank 103 through the sewage pipeline section. A drainage pipeline section is arranged between the sewage tank 103 and the circulating water tank 104, and the waste water / sewage in the sewage tank 103 can be discharged into the circulating water tank 104 through the drainage pipeline section after a series of sewage treatment to obtain recyclable water. A circulating water pipeline section is arranged between the circulating water tank 104 and the industrial boiler device 102, and the recyclable water in the circulating water tank 104 can be transported to the industrial boiler device 102 through the circulating water pipeline section for recycling.

[0030] A plurality of water quality detection points are arranged in the water supply pipeline section, the sewage pipeline section, the drainage pipeline section, and the circulating water pipeline section, and water quality detection sensors are arranged at each water quality detection point. In actual application, the positions that can best reflect the water quality change of each pipeline section can be determined by collecting and analyzing the historical water quality detection data of the water supply pipeline section, the sewage pipeline section, the drainage pipeline section, and the circulating water pipeline section, and water quality detection sensors are arranged at these positions to comprehensively, accurately and systematically monitor the water quality change of the pipeline section.

[0031] The first water quality detection sub-control 105 is in communication connection with each water quality detection sensor in the water supply pipeline section. The second water quality detection sub-control 106 is in communication connection with each water quality detection sensor in the sewage pipeline section. The third water quality detection sub-control 107 is in communication connection with each water quality detection sensor in the drainage pipeline section. The fourth water quality detection sub-control 108 is in communication connection with each water quality detection sensor in the circulating water pipeline section. The water quality detection sensor can be used to detect the content of various substances in water, including dissolved oxygen, pH value, turbidity, conductivity, temperature, hardness, alkalinity and other parameters.

[0032] The first water quality detection sub-control 105, the second water quality detection sub-control 106, the third water quality detection sub-control 107, and the fourth water quality detection sub-control 108 are in communication connection with the water quality detection master control 109.

[0033] Figure 2 is a flowchart of a water quality detection method provided by an embodiment of the present application. Figure 2 The water quality detection method of Figure 1 may be executed by the water quality detection master control 109 in

[0034] Please refer to Figure 2 The water quality detection method may specifically include the following steps:

[0035] Step S201: During the operation of the industrial boiler equipment, the water quality detection results of the feedwater pipeline section, the blowdown pipeline section, the drainage pipeline section, and the circulating water pipeline section of the industrial boiler equipment are synchronously obtained.

[0036] Please refer to Figure 1 As an example, during the operation of the industrial boiler equipment, the water quality detection master control 109 may distribute a water quality detection instruction to the first water quality detection sub-control 105, the second water quality detection sub-control 106, the third water quality detection sub-control 107, and the fourth water quality detection sub-control 108. The first water quality detection sub-control 105 receives and executes the water quality detection instruction, synchronously samples and detects through the water quality detection sensors arranged at each water quality detection point in the feedwater pipeline section, obtains the first water quality detection result, and reports to the water quality detection master control 109. The second water quality detection sub-control 106 receives and executes the water quality detection instruction, synchronously samples and detects through the water quality detection sensors arranged at each water quality detection point in the blowdown pipeline section, obtains the second water quality detection result, and reports to the water quality detection master control 109. The third water quality detection sub-control 107 receives and executes the water quality detection instruction, synchronously samples and detects through the water quality detection sensors arranged at each water quality detection point in the drainage pipeline section, obtains the third water quality detection result, and reports to the water quality detection master control 109. The fourth water quality detection sub-control 108 receives and executes the water quality detection instruction, synchronously samples and detects through the water quality detection sensors arranged at each water quality detection point in the circulating water pipeline section, obtains the fourth water quality detection result, and reports to the water quality detection master control 109.

[0037] Step S202: Based on the water quality detection results of each pipeline section, the water quality key detection points, the water quality ordinary detection points corresponding to each pipeline section, and the node correlation coefficients between them are determined, and based on the node correlation coefficients corresponding to each pipeline section, the final water quality detection results of each pipeline section are determined.

[0038] In step S203, based on the inter-node correlation coefficients between the nodes of the water quality key detection points corresponding to each pipeline section, the water treatment control strategy and / or the water quality detection control strategy is distributed to the water quality detection sub-controllers corresponding to each pipeline section.

[0039] The technical scheme provided by the embodiments of the present application synchronously acquires the water quality detection results of the feedwater pipeline section, the blowdown pipeline section, the drainage pipeline section and the circulating water pipeline section of the industrial boiler equipment during the operation of the industrial boiler equipment; determines the water quality key detection points, the water quality ordinary detection points and the intra-pipeline-section node correlation coefficients therebetween corresponding to each pipeline section based on the water quality detection results of each pipeline section, and determines the final water quality detection results of each pipeline section based on the intra-pipeline-section node correlation coefficients corresponding to each pipeline section; distributes the water treatment control strategy and / or the water quality detection control strategy to the water quality detection sub-controllers corresponding to each pipeline section based on the inter-node correlation coefficients between the nodes of the water quality key detection points corresponding to each pipeline section, so as to realize comprehensive, accurate and systematic monitoring of the water quality of the feedwater link, the blowdown link, the sewage treatment link and the circulating water link of the industrial boiler equipment during the operation of the industrial boiler equipment, which is conducive to ensuring the normal operation of the industrial boiler and improving the safety and stability performance thereof.

[0040] In some embodiments, based on the water quality detection results of each pipeline section, the water quality key detection points, the water quality ordinary detection points and the intra-pipeline-section node correlation coefficients therebetween corresponding to each pipeline section are determined, and the final water quality detection results of each pipeline section are determined based on the intra-pipeline-section node correlation coefficients corresponding to each pipeline section, including:

[0041] Based on the first water quality detection results of the feedwater pipeline section, the first water quality key detection node and the first water quality ordinary detection node corresponding to the feedwater pipeline section and the first intra-pipeline-section node correlation coefficients therebetween are determined, and the first final water quality detection results of the feedwater pipeline section are determined based on the first intra-pipeline-section node correlation coefficients;

[0042] Based on the second water quality detection results of the blowdown pipeline section, the second water quality key detection node and the second water quality ordinary detection node corresponding to the blowdown pipeline section and the second intra-pipeline-section node correlation coefficients therebetween are determined, and the second final water quality detection results of the blowdown pipeline section are determined based on the second intra-pipeline-section node correlation coefficients;

[0043] Based on the third water quality detection results of the drainage pipeline section, the third water quality key detection node and the third water quality ordinary detection node corresponding to the drainage pipeline section and the third intra-pipeline-section node correlation coefficients therebetween are determined, and the third final water quality detection results of the drainage pipeline section are determined based on the third intra-pipeline-section node correlation coefficients;

[0044] Based on the fourth water quality detection result of the circulating water pipeline section, the fourth water quality key detection node and the fourth water quality detection ordinary node corresponding to the circulating water pipeline section and the fourth correlation coefficient therebetween are determined, and based on the fourth correlation coefficient, the fourth final water quality detection result of the circulating water pipeline section is determined.

[0045] The first water quality key detection node is usually a water quality detection point in the water supply pipeline section where water quality deterioration (water pollution) is most likely to occur.

[0046] The first water quality detection ordinary node is usually a water quality detection point in the water supply pipeline section where water quality deterioration is not likely to occur.

[0047] The first intra-section node correlation coefficient represents the mutual influence relationship of water quality changes between the first water quality key detection node and the first water quality detection ordinary node. Generally, the larger the first intra-section node correlation coefficient, the greater the mutual influence of water quality changes between the first water quality key detection node and the first water quality detection ordinary node, and vice versa. The smaller the first intra-section node correlation coefficient, the smaller the mutual influence of water quality changes between the first water quality key detection node and the first water quality detection ordinary node.

[0048] The second water quality key detection node is usually a water quality detection point in the sewage pipeline section where water quality deterioration (water pollution) is most likely to occur.

[0049] The second water quality detection ordinary node is usually a water quality detection point in the sewage pipeline section where water quality deterioration is not likely to occur.

[0050] The second intra-section node correlation coefficient represents the mutual influence relationship of water quality changes between the second water quality key detection node and the second water quality detection ordinary node. Generally, the larger the second intra-section node correlation coefficient, the greater the mutual influence of water quality changes between the second water quality key detection node and the second water quality detection ordinary node, and vice versa. The smaller the second intra-section node correlation coefficient, the smaller the mutual influence of water quality changes between the second water quality key detection node and the second water quality detection ordinary node.

[0051] The third water quality key detection node is usually a water quality detection point in the drainage pipeline section where water quality deterioration (water pollution) is most likely to occur.

[0052] The third water quality detection ordinary node is usually a water quality detection point in the drainage pipeline section where water quality deterioration is not likely to occur.

[0053] The third intra-road-section node correlation coefficient represents the mutual influence relationship of water quality change between the third water quality key detection node and the third water quality detection normal node. Generally, the greater the third intra-road-section node correlation coefficient, the greater the mutual influence of water quality change between the third water quality key detection node and the third water quality detection normal node, and vice versa, the smaller the third intra-road-section node correlation coefficient, the smaller the mutual influence of water quality change between the third water quality key detection node and the third water quality detection normal node.

[0054] The fourth water quality key detection node is usually a water quality detection point in the circulating water pipeline section that is most prone to water quality deterioration (water pollution).

[0055] The fourth water quality detection normal node is usually a water quality detection point in the circulating water pipeline section that is not prone to water quality deterioration.

[0056] The fourth correlation coefficient represents the mutual influence relationship of water quality change between the fourth water quality key detection node and the fourth water quality detection normal node. Generally, the greater the fourth correlation coefficient, the greater the mutual influence of water quality change between the fourth water quality key detection node and the fourth water quality detection normal node, and vice versa, the smaller the fourth correlation coefficient, the smaller the mutual influence of water quality change between the fourth water quality key detection node and the fourth water quality detection normal node.

[0057] In some embodiments, the water supply pipeline section includes a plurality of water quality detection points, and the first water quality detection result includes a sampling detection result corresponding to each water quality detection point. Based on the first water quality detection result of the water supply pipeline section, the first water quality key detection node and the first water quality detection normal node corresponding to the water supply pipeline section and the first intra-road-section node correlation coefficient between them are determined, including:

[0058] A water quality detection point with a sampling detection result exceeding a preset water quality standard threshold and a maximum difference between the sampling detection result and the preset water quality standard threshold is determined as the first water quality key detection node, and the remaining other water quality detection points are all determined as the first water quality detection normal node;

[0059] A first water quality detection normal node and the first water quality key detection node are determined as a group, and the first intra-road-section node correlation coefficient corresponding to each group is determined.

[0060] The preset water quality standard threshold can be determined according to relevant industrial water detection standards.

[0061] As an example, in combination with Figure 3, assuming that three water quality detection points are arranged in the feedwater pipeline section between the feedwater tank 101 and the industrial boiler equipment 102, which are water quality detection points A1, A2 and A3, wherein the water quality detection point A1 corresponds to the water quality detection sensor a1, the water quality detection point A2 corresponds to the water quality detection sensor a2, and the water quality detection point A3 corresponds to the water quality detection sensor a3. The water quality detection sensor a1 is used to sample and detect the water flowing through the water quality detection point A1 to obtain a sampling detection result 1 and transmit it to the first water quality detection sub-control 105. The water quality detection sensor a2 is used to sample and detect the water flowing through the water quality detection point A2 to obtain a sampling detection result 2 and transmit it to the first water quality detection sub-control 105. The water quality detection sensor a3 is used to sample and detect the water flowing through the water quality detection point A3 to obtain a sampling detection result 3 and transmit it to the first water quality detection sub-control 105. The first water quality detection sub-control 105 reports the collected sampling detection results 1-3 to the water quality detection master control 109. After receiving the sampling detection results 1-3, the water quality detection master control 109 calculates the difference between the sampling detection results 1-3 and the preset water quality standard threshold value, respectively, and determines the water quality detection point with the largest difference between the sampling detection result and the preset water quality standard threshold value as the first water quality key detection node, and determines the remaining other water quality detection points as the first water quality detection normal node. For example, assuming that the sampling detection result 1 is greater than the preset water quality standard threshold value, and the sampling detection results 2 and 3 are less than the preset water quality standard threshold value, the water quality detection point A1 corresponding to the sampling detection result 1 is determined as the first water quality key detection node, and the water quality detection points A2 and A3 corresponding to the sampling detection results 2 and 3 are determined as the first water quality detection normal node.

[0062] Next, the water quality detection point A1 and the water quality detection point A2 are divided into a group 1, and the first intra-segment node correlation coefficient 1 corresponding to the group 1 is determined. The water quality detection point A1 and the water quality detection point A3 are divided into a group 2, and the first intra-segment node correlation coefficient 2 corresponding to the group 2 is determined.

[0063] In some embodiments, determining the first intra-segment node correlation coefficient corresponding to each group comprises:

[0064] For each group, determining a first Euclidean distance value between the first water quality detection normal node and the first water quality key detection node in the group;

[0065] According to the first Euclidean distance value, determining the first intra-segment node correlation coefficient between the first water quality detection normal node and the first water quality key detection node in the group.

[0066] For ease of understanding, continuing with the example above, for group 1, determine the first Euclidean distance value between water quality monitoring point A1 (the first critical water quality monitoring node) and water quality monitoring point A2 (the first ordinary water quality monitoring node). Then, based on the first Euclidean distance value Determine the node correlation coefficients within the first road segment between them. For group 2, determine the first Euclidean distance between water quality monitoring point A1 and water quality monitoring point A3. Then, based on the first Euclidean distance value Determine the node correlation coefficients within the first road segment between them. .

[0067] In some embodiments, determining the intra-segment node correlation coefficient between the first ordinary water quality monitoring node and the first critical water quality monitoring node in the group, based on the first Euclidean distance value, includes:

[0068] If the first Euclidean distance value is less than the first preset distance value, then the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group is determined to be 1.

[0069] If the first Euclidean distance value is greater than or equal to the first preset distance value and less than the second preset distance value, then based on the first Euclidean distance value, the first preset distance value, and the second preset distance value, the intra-segment node correlation coefficient between the first ordinary water quality detection node and the first key water quality detection node in the group is determined; wherein, the first preset distance value is less than the second preset distance value;

[0070] If the first Euclidean distance value is greater than or equal to the second preset distance value, then the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group is determined to be 0.

[0071] Taking group 1 in the above example as an example, in the first case, if the first Euclidean distance between water quality monitoring point A1 (the first key water quality monitoring node) and water quality monitoring point A2 (the first ordinary water quality monitoring node) is... If the distance is less than the first preset distance value, then the node correlation coefficient within the first road segment between water quality monitoring point A1 and water quality monitoring point A2 is determined. The value is 1. In this case, the distance between water quality monitoring point A1 and water quality monitoring point A2 is very small, indicating that the water quality of these two monitoring points has a large degree of mutual influence in the short term.

[0072] In the second scenario, if the first Euclidean distance between water quality monitoring point A1 (the first critical water quality monitoring node) and water quality monitoring point A2 (the first ordinary water quality monitoring node) is... greater than or equal to the first preset distance value and less than the second preset distance value, the first intra-segment node correlation coefficient between the water quality detection point A1 and the water quality detection point A2 in the first segment is determined based on the first Euclidean distance value, the first preset distance value and the second preset distance value . Specifically, the first intra-segment node correlation coefficient between the water quality detection point A1 and the water quality detection point A2 in the first segment can be calculated according to formula (1) .

[0073] (1)

[0074] In formula (1), represents the first intra-segment node correlation coefficient, represents the first Euclidean distance value, represents the first preset distance value, represents the second preset distance value.

[0075] In this case, the distance between the water quality detection point A1 and the water quality detection point A2 is small, indicating that the water quality of the two detection points will have a certain degree of mutual influence in the short term.

[0076] The third case is that if the first Euclidean distance value between the water quality detection point A1 (the first water quality key detection node) and the water quality detection point A2 (the first water quality ordinary detection node) is greater than or equal to the second preset distance value, the first intra-segment node correlation coefficient between the water quality detection point A1 and the water quality detection point A2 in the first segment can be determined as 0. In this case, the distance between the water quality detection point A1 and the water quality detection point A2 is large, indicating that the mutual influence of the water quality of the two detection points in the short term is very weak and can be ignored.

[0077] In some embodiments, the first final water quality detection result of the water supply pipeline segment is determined based on the first intra-segment node correlation coefficient, including:

[0078] The grouped water quality detection result is determined based on the first intra-segment node correlation coefficient corresponding to each group.

[0079] The grouped water quality detection result corresponding to each group is weighted to obtain the first final water quality detection result of the water supply pipeline segment.

[0080] For ease of understanding, continue to use the above example, please refer to Figure 3 . Taking group 1 as an example, the first case is that if the first intra-segment node correlation coefficient between the water quality detection point A1 (the first water quality key detection node) and the water quality detection point A2 (the first water quality ordinary detection node) is ​​If the value of the node correlation coefficient is 1, then the sampling detection result 1 corresponding to the water quality detection point A1 or the sampling detection result 2 corresponding to the water quality detection point A2 is determined as the group detection result 1 of the group 1.

[0081] In the second case, if the node correlation coefficient of the first road section between the water quality detection point A1 (the first water quality key detection node) and the water quality detection point A2 (the first water quality common detection node) is , then the average of the sampling detection result 1 corresponding to the water quality detection point A1 and the sampling detection result 2 corresponding to the water quality detection point A2 can be determined as the group detection result 1 of the group 1.

[0082] In the third case, if the node correlation coefficient of the first road section between the water quality detection point A1 (the first water quality key detection node) and the water quality detection point A2 (the first water quality common detection node) is 0, then the sampling detection result 1 corresponding to the water quality detection point A1 (the first water quality key detection node) is determined as the group detection result 1 of the group 1.

[0083] It can be understood that for the group 2, the group detection result 2 corresponding to the group 2 can be determined in the above manner, which will not be described here.

[0084] Next, the weight coefficients corresponding to the group 1 and the group 2 are determined as , , wherein , , and .

[0085] In actual application, the weight coefficients and may be determined according to the influence degree of the sampling detection results of different groups on the water quality of the water supply pipeline section. For example, if the influence degree of the sampling detection result of the group 1 on the water quality of the water supply pipeline section is greater than the influence degree of the sampling detection result of the group 2 on the water quality of the water supply pipeline section, then > ; if the influence degree of the sampling detection result of the group 1 on the water quality of the water supply pipeline section is less than the influence degree of the sampling detection result of the group 2 on the water quality of the water supply pipeline section, then < ; and if there is no significant difference between the influence degrees of the sampling detection results of the group 1 and the group 2 on the water quality of the water supply pipeline section, then = .

[0086] Finally, the group detection result of the water quality of the water supply pipeline section is determined according to the weight coefficients , ​The group detection result 1 corresponding to the group 1 and the group detection result 2 corresponding to the group 2 are weighted to obtain a first final water quality detection result of the water supply pipeline section.

[0087] It can be understood that, with reference to the above embodiments, the second water quality key detection node and the second water quality detection normal node in the sewage pipeline section and the second intra-section node correlation coefficient therebetween are determined based on the second water quality detection result, and the second final water quality detection result of the sewage pipeline section is determined based on the second intra-section node correlation coefficient; the third water quality key detection node and the third water quality detection normal node in the drainage pipeline section and the third intra-section node correlation coefficient therebetween are determined based on the third water quality detection result, and the third final water quality detection result of the drainage pipeline section is determined based on the third intra-section node correlation coefficient; the fourth water quality key detection node and the fourth water quality detection normal node in the circulating water pipeline section and the fourth correlation coefficient therebetween are determined based on the fourth water quality detection result, and the fourth final water quality detection result of the circulating water pipeline section is determined based on the fourth correlation coefficient, which will not be described herein.

[0088] In some embodiments, the water treatment control strategy and / or the water quality detection control strategy is distributed to the water quality detection sub-control corresponding to each pipeline section based on the inter-section node correlation coefficient between the water quality key detection points of the corresponding pipeline section, including:

[0089] determining the inter-section node correlation coefficient between the water quality key detection points of the corresponding pipeline section;

[0090] distributing the water treatment control strategy and / or the water quality detection control strategy to the first water quality detection sub-control, the second water quality detection sub-control, the third water quality detection sub-control and the fourth water quality detection sub-control based on the inter-section node correlation coefficient;

[0091] The water treatment control strategy includes at least one of water flow, water flow rate, water quality standard threshold or water treatment mode for the water supply pipeline section, the sewage pipeline section, the drainage pipeline section and the circulating water pipeline section; and the water quality detection control strategy includes the number of water quality detection points and the number of water quality detection times for the water supply pipeline section, the sewage pipeline section, the drainage pipeline section and the circulating water pipeline section.

[0092] As an example, assuming that the first water quality key detection node of the water supply pipeline section is water quality detection point A1, the second water quality key detection node of the sewage pipeline section is water quality detection point B1, the third water quality key detection node of the drainage pipeline section is water quality detection point C3, and the fourth water quality key detection node of the circulating water pipeline section is D2, then the inter-section node correlation coefficient between A1 and B1 is calculated as the inter-section node correlation coefficient between A1 and C3 the inter-segment node correlation between A1 and D2 the inter-segment node correlation between B1 and C3 the inter-segment node correlation between B1 and D2 the inter-segment node correlation between C3 and D2 .

[0093] The inter-segment node correlation can be determined in the same way as the intra-segment node correlation between the first water quality key detection node and the first water quality detection normal node in the water supply pipe segment ~ which will not be repeated here.

[0094] Next, the inter-segment node correlations , , are compared to determine the maximum correlation therefrom, and the water treatment control strategy for the water supply pipe segment between the water supply tank 101 and the industrial boiler equipment 102 is determined according to the maximum correlation. For example, assuming that the inter-segment node correlations , , are arranged in the following order: the maximum correlation therefrom is , which indicates that the water quality detection point A1 in the water supply pipe segment has a greater impact on the water quality of the water quality detection point B1 in the sewage pipe segment. Based on this, at least one of the water flow, the water flow rate, the water quality standard threshold, or the water treatment method (such as adjusting the hardness, pH value, alkalinity, etc. of the water flow in the water supply pipe segment by adding chemical agents, etc.) in the water supply pipe segment can be adjusted to reduce its impact on the water quality of the water quality detection point B1, thereby improving the water quality of the water quality detection point B1.

[0095] Similarly, the inter-segment node correlations , , are compared to determine the maximum correlation therefrom, and the water treatment control strategy for the sewage pipe segment between the industrial boiler equipment 102 and the sewage tank 103 is determined according to the maximum correlation (i.e. adjusting at least one of the water flow, the water flow rate, the water quality standard threshold, or the water treatment method in the sewage pipe segment).

[0096] The inter-segment node correlations , , The magnitude of the correlation coefficient is used to determine the maximum correlation coefficient, and a water treatment control strategy (i.e., adjusting at least one of the following: water flow rate, water velocity, water quality standard threshold, or water treatment method) is determined based on the maximum correlation coefficient for the drainage pipeline section between sewage tank 103 and circulating water tank 104.

[0097] By comparing the node correlation coefficients between road segments , , The magnitude of the correlation coefficient is used to determine the maximum correlation coefficient, and a water treatment control strategy is determined based on the maximum correlation coefficient for the circulating water pipeline section between the circulating water tank 104 and the industrial boiler equipment 102 (specifically, it may be adjusting at least one of the following: water flow rate, water velocity, water quality standard threshold, or water treatment method of the circulating water pipeline section).

[0098] The above implementation method fully considers the degree of mutual influence between the water quality of each key water quality detection node in the water supply pipeline, sewage pipeline, drainage pipeline, and circulating water pipeline. It can systematically, comprehensively, and accurately monitor the water quality of the water supply, sewage discharge, wastewater treatment, and circulating water links of industrial boiler equipment during operation from a macroscopic perspective. This is conducive to further ensuring the normal operation of industrial boilers and improving their safety and stability performance.

[0099] To facilitate understanding, we will continue with the above example and compare the node correlation coefficients between road segments. , , The magnitude of the correlation coefficient between the two is used to determine the maximum correlation coefficient, and the water quality monitoring and control strategy for the water supply pipeline section between the water supply tank 101 and the industrial boiler equipment 102 is determined based on the maximum correlation coefficient (i.e., increasing / decreasing the number of water quality monitoring points and the number of water quality monitoring times in the water supply management section).

[0100] By comparing the node correlation coefficients between road segments , , The magnitude of the correlation coefficient between the two is used to determine the maximum correlation coefficient, and the water quality monitoring and control strategy for the sewage pipeline section between industrial boiler equipment 102 and sewage tank 103 is determined based on the maximum correlation coefficient (i.e., increasing / decreasing the number of water quality monitoring points and the number of water quality monitoring times in the sewage pipeline section).

[0101] By comparing the node correlation coefficients between road segments , , between the sizes of the correlation coefficients to determine the maximum correlation coefficient, and determine the water quality detection regulation strategy (i.e., increase / decrease the number of water quality detection points and the number of water quality detection times in the drainage pipeline section) according to the maximum correlation coefficient.

[0102] between the sizes of the correlation coefficients to determine the maximum correlation coefficient, and determine the water quality detection regulation strategy (i.e., increase / decrease the number of water quality detection points and the number of water quality detection times in the drainage pipeline section) according to the maximum correlation coefficient. 、 、 between the sizes of the correlation coefficients to determine the maximum correlation coefficient, and determine the water quality detection regulation strategy (i.e., increase / decrease the number of water quality detection points and the number of water quality detection times in the drainage pipeline section) according to the maximum correlation coefficient.

[0103] The above-mentioned embodiments fully consider the degree of mutual influence of water quality among the key water quality detection nodes in the water supply pipeline section, the sewage pipeline section, the drainage pipeline section, and the circulating water pipeline section, and increase / decrease the number of water quality detection points and the number of water quality detection times in each pipeline section according to the degree of mutual influence of water quality among the key water quality detection nodes, so as to improve the efficiency and cost of water quality detection under the premise of ensuring the accuracy of the water quality detection results of each pipeline section.

[0104] All the optional technical solutions mentioned above can be combined to form optional embodiments of the present application, which will not be repeated here.

[0105] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the apparatus embodiments of the present application, please refer to the method embodiments of the present application.

[0106] Figure 4 is a structural schematic diagram of a water quality detection system provided by an embodiment of the present application. As shown in Figure 4 , the water quality detection system comprises:

[0107] a water quality detection master control 109, a first water quality detection sub-control 105, a second water quality detection sub-control 106, a third water quality detection sub-control 107, and a fourth water quality detection sub-control 108;

[0108] The water quality detection master control 109 is in communication connection with the first water quality detection sub-control 105, the second water quality detection sub-control 106, the third water quality detection sub-control 107, and the fourth water quality detection sub-control 108, respectively;

[0109] The first water quality detection sub-control 105 is configured to synchronously sample and detect each water quality detection point in the water supply pipeline section of the industrial boiler equipment to obtain a first water quality detection result, and upload the first water quality detection result to the water quality detection master control;

[0110] The second water quality detection sub-control 106 is configured to synchronously sample and detect each water quality detection point in the blowdown pipeline section of the industrial boiler equipment, obtain a second water quality detection result, and upload the second water quality detection result to the water quality detection master control;

[0111] The third water quality detection sub-control 107 is configured to synchronously sample and detect each water quality detection point in the blowdown pipeline section of the industrial boiler equipment, obtain a third water quality detection result, and upload the third water quality detection result to the water quality detection master control;

[0112] The fourth water quality detection sub-control 108 is configured to synchronously sample and detect each water quality detection point in the circulating water pipeline section of the industrial boiler equipment, obtain a fourth water quality detection result, and upload the fourth water quality detection result to the water quality detection master control;

[0113] The water quality detection master control 109 is configured to perform each step of the water quality detection method in the above-described embodiments.

[0114] The technical scheme provided by the embodiments of the present application can comprehensively, accurately and systematically monitor the water quality of the water supply link, the blowdown link, the sewage treatment link and the circulating water link of the industrial boiler equipment during operation through the mutual cooperation and coordination among the water quality detection master control, the first water quality detection sub-control, the second water quality detection sub-control, the third water quality detection sub-control and the fourth water quality detection sub-control, which is beneficial to guarantee the normal operation of the industrial boiler and improve the safety and stability performance thereof.

[0115] It should be understood that the size of the serial number of each step in the above-described embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0116] Figure 5 is a schematic diagram of the water quality detection device 500 provided by the embodiments of the present application. As shown in Figure 5 The water quality detection device 500 of this embodiment includes a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and executable on the processor 501. The processor 501 implements the steps in each of the above-described method embodiments when executing the computer program 503. Alternatively, the processor 501 implements the functions of each module / unit in the above-described device embodiments when executing the computer program 503.

[0117] The water quality detection device 500 can be a desktop computer, a notebook, a palm computer, a cloud server and the like. The water quality detection device 500 can include but is not limited to the processor 501 and the memory 502. Those skilled in the art can understand, Figure 5 The water quality detection device 500 is only an example and does not constitute a limitation on the water quality detection device 500, and can include more or fewer components or different components than those shown.

[0118] The processor 501 can be a central processing unit (CPU), or other general purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic components, discrete hardware components, etc.

[0119] The memory 502 can be an internal storage unit of the water quality detection device 500, for example, a hard disk or a memory of the water quality detection device 500. The memory 502 can also be an external storage device of the water quality detection device 500, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the water quality detection device 500. The memory 502 can also include both the internal storage unit and the external storage device of the water quality detection device 500. The memory 502 is used to store computer programs and other programs and data required by the water quality detection device.

[0120] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is exemplified, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit or module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0121] The integrated modules / units, if implemented in the form of software functional units and sold or used as independent products, can be stored in a readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program can include computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and electrical signals.

[0122] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A water quality testing method, characterized in that, Applications include: (The text abruptly ends here, so the translation stops as well.) During the operation of the industrial boiler equipment, the water quality test results of the water supply pipe section, sewage pipe section, drainage pipe section and circulating water pipe section of the industrial boiler equipment are acquired simultaneously; Based on the water quality test results of each pipeline section, the key water quality test points, ordinary water quality test points and the intra-segment node correlation coefficients of each pipeline section are determined, and the final water quality test results of each pipeline section are determined based on the intra-segment node correlation coefficients of each pipeline section. Based on the inter-segment node correlation coefficient between each pair of key water quality monitoring points in each pipeline segment, water treatment control strategies and / or water quality monitoring control strategies are distributed to the water quality monitoring and control sub-control points in each pipeline segment. Based on the water quality test results of each pipeline segment, the key water quality testing points, ordinary water quality testing points, and intra-segment node correlation coefficients for each pipeline segment are determined. Based on these intra-segment node correlation coefficients, the final water quality test results for each pipeline segment are determined, including: Based on the first water quality test results of the water supply pipeline section, determine the first key water quality test node and the first ordinary water quality test node corresponding to the water supply pipeline section, as well as the node correlation coefficient within the first section between them, and determine the first final water quality test result of the water supply pipeline section based on the node correlation coefficient within the first section. Based on the second water quality test results of the sewage pipe section, determine the second key water quality test node and the second ordinary water quality test node corresponding to the sewage pipe section, as well as the node correlation coefficient within the second section between them, and determine the second final water quality test result of the sewage pipe section based on the node correlation coefficient within the second section. Based on the third water quality test results of the drainage pipe section, the third key water quality test nodes and the third ordinary water quality test nodes corresponding to the drainage pipe section are determined, as well as the node correlation coefficients within the third section between them. Based on the node correlation coefficients within the third section, the third final water quality test results of the drainage pipe section are determined. Based on the fourth water quality test results of the circulating water pipeline section, the fourth key water quality test node and the fourth ordinary water quality test node corresponding to the circulating water pipeline section and the fourth correlation coefficient between them are determined, and based on the fourth correlation coefficient, the fourth final water quality test result of the circulating water pipeline section is determined. The water supply pipeline section includes multiple water quality testing points, and the first water quality testing result includes the sampling and testing result corresponding to each of the water quality testing points. Based on the first water quality test results of the water supply pipeline section, determine the first key water quality testing node and the first ordinary water quality testing node corresponding to the water supply pipeline section, as well as the node correlation coefficients within the first pipeline section, including: The water quality detection point whose sampling and detection results exceed the preset water quality standard threshold and whose difference between the sampling and detection results and the preset water quality standard threshold is the largest is determined as the first key water quality detection node, and the remaining water quality detection points are determined as the first ordinary water quality detection nodes. A common water quality monitoring node and a critical water quality monitoring node are grouped together, and the correlation coefficient of nodes within the first road segment corresponding to each group is determined.

2. The method according to claim 1, characterized in that, Determining the node association coefficients within the first road segment corresponding to each of the aforementioned groups includes: For each group, determine the first Euclidean distance value between the first ordinary water quality detection node and the first key water quality detection node in the group; Based on the first Euclidean distance value, determine the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group.

3. The method according to claim 2, characterized in that, Based on the first Euclidean distance value, determine the intra-segment node correlation coefficient between the first ordinary water quality monitoring node and the first key water quality monitoring node in the group, including: If the first Euclidean distance value is less than the first preset distance value, then the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group is determined to be 1. If the first Euclidean distance value is greater than or equal to the first preset distance value and less than the second preset distance value, then based on the first Euclidean distance value, the first preset distance value, and the second preset distance value, the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group is determined; wherein, the first preset distance value is less than the second preset distance value. If the first Euclidean distance value is greater than or equal to the second preset distance value, then the node correlation coefficient within the first road segment between the first ordinary water quality detection node and the first key water quality detection node in the group is determined to be 0.

4. The method according to claim 1, characterized in that, Based on the node correlation coefficient within the first road segment, the first final water quality test result of the water supply pipeline segment is determined, including: The water quality test results for each group are determined based on the node correlation coefficient within the first segment corresponding to each group. The water quality test results of each group are weighted and calculated to obtain the first final water quality test result of the water supply pipeline section.

5. The method according to claim 1, characterized in that, Based on the inter-segment node correlation coefficients between pairs of key water quality monitoring points corresponding to each pipeline segment, water treatment control strategies and / or water quality monitoring control strategies are distributed to the water quality monitoring and control sub-control points corresponding to each pipeline segment, including: Determine the inter-segment node correlation coefficients between any two nodes among the first, second, third, and fourth key water quality monitoring nodes; Based on the node correlation coefficient between the road segments, water treatment control strategies and / or water quality control strategies are distributed to the first water quality monitoring and control sub-control, the second water quality monitoring and control, the third water quality monitoring and control, and the fourth water quality monitoring and control. The water treatment control strategy includes controlling at least one of the following: water flow rate, water velocity, water quality standard threshold, or water treatment method in the water supply pipeline section, sewage pipeline section, drainage pipeline section, and circulating water pipeline section; the water quality detection control strategy includes controlling the number of water quality detection points and the number of water quality tests in the water supply pipeline section, sewage pipeline section, drainage pipeline section, and circulating water pipeline section.

6. A water quality testing system, characterized in that, include: Water quality monitoring is divided into four sub-control points: central control, first sub-control, second sub-control, third sub-control, and fourth sub-control. The central water quality control system is communicatively connected to the first, second, third, and fourth sub-control systems for water quality detection. The first water quality detection sub-control is configured to simultaneously sample and detect water quality at various water quality detection points in the water supply pipeline section of the industrial boiler equipment, obtain the first water quality detection result, and upload it to the water quality detection master control; The second water quality detection sub-control is configured to simultaneously sample and detect water quality at various water quality detection points in the sewage pipe section of the industrial boiler equipment, obtain the second water quality detection result, and upload it to the water quality detection master control; The third water quality detection sub-control is configured to simultaneously sample and detect water quality at various water quality detection points in the drainage pipe section of the industrial boiler equipment, obtain the third water quality detection result, and upload it to the water quality detection master control; The fourth water quality detection sub-control is configured to simultaneously sample and detect water quality at each water quality detection point in the circulating water pipeline section of the industrial boiler equipment, obtain the fourth water quality detection result, and upload it to the water quality detection master control; The water quality monitoring system is configured to perform the steps of the method according to any one of claims 1 to 5.

7. A water quality testing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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