Water quality detection method, device and system and storage medium

Abstract

The invention relates to the technical field of water quality detection, and provides a water quality detection method, device and system and a storage medium. The method comprises the following steps: synchronously obtaining water quality detection results of a water supply pipeline section, a blow-off pipeline section, a drainage pipeline section and a circulating water pipeline section of the industrial boiler equipment during operation; based on the water quality detection result of each pipeline section, determining a water quality key detection point and a water quality common detection point corresponding to each pipeline section and a node correlation coefficient between the water quality key detection point and the water quality common detection point, and based on the node correlation coefficient corresponding to each pipeline section, determining a final water quality detection result of each pipeline section; and distributing a water treatment regulation and control strategy and / or a water quality detection regulation and control strategy to the water quality detection sub-control corresponding to each pipeline section on the basis of the node correlation coefficient between every two nodes of the water quality key detection points corresponding to each pipeline section. According to the application, the water quality of each key link of the industrial boiler equipment during operation can be comprehensively, accurately and systematically monitored.

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 Art

[0002] Poor water quality in industrial boilers can easily lead to scale, corrosion, impurities clogging pipes and other hazards in industrial boiler equipment, which directly affects the normal operation of industrial boiler equipment and reduces its safety and stability performance.

[0003] Ensuring that the water quality of the water supply, sewage discharge, sewage treatment and circulating water links of industrial boilers meets the standards is the key to ensuring that industrial boilers can always be in a normal and stable operating state during operation.

[0004] However, the current industrial boiler water quality testing methods have not yet been able to achieve comprehensive, accurate and systematic monitoring of the water quality in the water supply, sewage discharge, sewage treatment and circulating water links of industrial boiler equipment during operation. Summary of the Invention

[0005] In view of this, 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, sewage discharge, sewage treatment and circulating water links of industrial boiler equipment during operation.

[0006] In a first aspect of an embodiment of the present application, a water quality detection method is provided, which is applied to a water quality detection master control, comprising: During the operation of 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 obtained simultaneously; Based on the water quality test results of each pipeline section, determine the key water quality test points, common water quality test points and the node correlation coefficients between them for each pipeline section, and determine the final water quality test results for each pipeline section based on the node correlation coefficients corresponding to each pipeline section; Based on the inter-section node correlation coefficient between each pair of nodes of the key water quality detection points corresponding to each pipeline section, water treatment control strategies and / or water quality detection control strategies are distributed to the water quality detection sub-control stations corresponding to each pipeline section.

[0007] A second aspect of the embodiments of the present application provides a water quality detection system, comprising: Water quality testing master control, first water quality testing sub-control, second water quality testing sub-control, third water quality testing sub-control and fourth water quality testing sub-control; The water quality detection master control is respectively connected 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; The first water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the water supply pipe section of the industrial boiler equipment, obtain a first water quality detection result, and upload it to the water quality detection master control; The second water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point 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-controller is configured to perform synchronous sampling and detection on each water quality detection point in the drainage pipe section of the industrial boiler equipment, obtain the third water quality detection results, and upload them to the water quality detection master control; The fourth water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the circulating water pipe 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 detection master control is configured to execute the steps of the first aspect method.

[0008] According to a third aspect of an embodiment of the present application, a water quality detection device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0009] According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps of the above method are implemented.

[0010] Compared with the prior art, the beneficial effects of the embodiments of the present application include at least: synchronously obtaining 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 during the operation of the industrial boiler equipment; determining the key water quality test points, general water quality test points and the intra-section node correlation coefficients corresponding to each pipeline section based on the water quality test results of each pipeline section, and determining the final water quality test results of each pipeline section based on the intra-section node correlation coefficients corresponding to each pipeline section; distributing water treatment control strategies and / or water quality test control strategies to the water quality detection sub-control units corresponding to each pipeline section based on the inter-section node correlation coefficients between each two nodes of the key water quality test points corresponding to each pipeline section, thereby realizing comprehensive, accurate and systematic monitoring of the water quality of the water supply link, sewage discharge link, sewage treatment link and circulating water link of the industrial boiler equipment during operation, which is conducive to ensuring the normal operation of the industrial boiler and improving its safety and stability performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0012] Figure 1 This is a schematic diagram of an application scenario of an embodiment of the present application; Figure 2 This is a flow chart of a water quality detection method provided in one embodiment of the present application; Figure 3 This is a schematic diagram of a water quality detection process for a water supply pipe section provided in one embodiment of the present application; Figure 4 This is a schematic structural diagram of a water quality detection system provided in one embodiment of the present application; Figure 5 It is a structural schematic diagram of a water quality detection device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may 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 obscuring the description of the present application with unnecessary detail.

[0014] 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.

[0015] Figure 1 This is a schematic diagram of an application scenario of an embodiment of the present application. Figure 1This application scenario may include: a water supply tank 101, industrial boiler equipment 102, a sewage tank 103, a circulating water tank 104, a first water quality detection sub-control unit 105, a second water quality detection sub-control unit 106, a third water quality detection sub-control unit 107, a fourth water quality detection sub-control unit 108, and a main water quality detection control unit 109. A water supply pipe section is provided between the water supply tank 101 and the industrial boiler equipment 102. Raw water from the water supply tank 101 can be transported to the industrial boiler equipment 102 via this water supply pipe section. A sewage pipe section is provided between the industrial boiler equipment 102 and the sewage tank 103. Wastewater / sewage generated by the industrial boiler equipment 102 during production operations can be discharged into the sewage tank 103 via this sewage pipe section. A drainage pipe section is provided between the sewage tank 103 and the circulating water tank 104. The wastewater / sewage in the sewage tank 103 undergoes a series of sewage treatment processes to produce recyclable water, which is then discharged into the circulating water tank 104 via the drainage pipe section. A circulating water pipe section is provided between the circulating water pool 104 and the industrial boiler equipment 102 , and the recyclable water in the circulating water pool 104 can be transported to the industrial boiler equipment 102 through the circulating water pipe section for recycling.

[0016] Multiple water quality monitoring points are installed in each of the water supply, sewage, drainage, and circulating water pipeline sections, each equipped with a water quality sensor. In practical applications, historical water quality test data from these pipeline sections can be collected and analyzed to identify locations that best reflect water quality changes in each section. Water quality sensors are then installed at these locations to comprehensively, accurately, and systematically monitor water quality changes in that section.

[0017] The first water quality detection sub-controller 105 is in communication with each water quality detection sensor in the water supply pipe section. The second water quality detection sub-controller 106 is in communication with each water quality detection sensor in the sewage pipe section. The third water quality detection sub-controller 107 is in communication with each water quality detection sensor in the drainage pipe section. The fourth water quality detection sub-controller 108 is in communication with each water quality detection sensor in the circulating water pipe section. Water quality detection sensors can be used to detect various substances in water, including dissolved oxygen, pH, turbidity, conductivity, temperature, hardness, alkalinity, and other parameters.

[0018] The first water quality detection sub-controller 105 , the second water quality detection sub-controller 106 , the third water quality detection sub-controller 107 , and the fourth water quality detection sub-controller 108 are respectively connected to the water quality detection master control 109 for communication.

[0019] Figure 2 It is a flow chart of a water quality detection method provided in an embodiment of the present application. Figure 2 The water quality testing method can be Figure 1 The water quality detection master control 109 is used to perform the operation.

[0020] See also Figure 2 The water quality detection method may specifically include the following steps: Step S201 , during the operation of the industrial boiler equipment, synchronously obtain 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.

[0021] See also Figure 1 As an example, during the operation of industrial boiler equipment, the water quality detection master control 109 can distribute water quality detection instructions 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, performs synchronous sampling and testing through the water quality detection sensors installed at each water quality detection point in the water supply pipe section, obtains a first water quality detection result, and reports it to the water quality detection master control 109. The second water quality detection sub-control 106 receives and executes the water quality detection instruction, performs synchronous sampling and testing through the water quality detection sensors installed at each water quality detection point in the sewage pipe section, obtains a second water quality detection result, and reports it to the water quality detection master control 109. The third water quality detection sub-controller 107 receives and executes the water quality detection instruction, performs synchronous sampling and detection through the water quality detection sensors installed at each water quality detection point in the drainage pipe section, obtains a third water quality detection result, and reports it to the water quality detection master control 109. The fourth water quality detection sub-controller 108 receives and executes the water quality detection instruction, performs synchronous sampling and detection through the water quality detection sensors installed at each water quality detection point in the circulating water pipe section, obtains a fourth water quality detection result, and reports it to the water quality detection master control 109.

[0022] Step S202, based on the water quality test results of each pipeline section, determine the key water quality test points, common water quality test points and the node correlation coefficients between them corresponding to each pipeline section, and determine the final water quality test results of each pipeline section based on the node correlation coefficients corresponding to each pipeline section.

[0023] Step S203: Based on the inter-section node correlation coefficients between the two nodes of the key water quality detection points corresponding to each pipeline section, the water treatment control strategy and / or water quality detection control strategy is distributed to the water quality detection sub-controllers corresponding to each pipeline section.

[0024] The technical solution provided in the embodiment of the present application obtains 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 synchronously during the operation of the industrial boiler equipment; based on the water quality test results of each pipe section, determines the key water quality test points, general water quality test points and the intra-section node correlation coefficients between them corresponding to each pipe section, and determines the final water quality test results of each pipe section based on the intra-section node correlation coefficients corresponding to each pipe section; based on the inter-section node correlation coefficients between each two nodes of the key water quality test points corresponding to each pipe section, distributes water treatment control strategies and / or water quality test control strategies to the water quality test sub-control units corresponding to each pipe section, thereby realizing comprehensive, accurate and systematic monitoring of the water quality of the water supply link, sewage discharge link, sewage treatment link and circulating water link of the industrial boiler equipment during operation, which is conducive to ensuring the normal operation of the industrial boiler and improving its safety and stability performance.

[0025] In some embodiments, based on the water quality test results of each pipeline section, determining the key water quality test points, common water quality test points, and intra-section node correlation coefficients corresponding to each pipeline section, and determining the final water quality test results of each pipeline section based on the intra-section node correlation coefficients corresponding to each pipeline section, including: Based on the first water quality test result of the water supply pipe section, determine the first water quality key detection node and the first water quality detection common node corresponding to the water supply pipe section and the first intra-section node correlation coefficient therebetween, and determine the first final water quality test result of the water supply pipe section based on the first intra-section node correlation coefficient; Determine, based on the second water quality test result of the sewage pipe section, a second key water quality test node and a second common water quality test node corresponding to the sewage pipe section and a second intra-section node correlation coefficient therebetween, and determine, based on the second intra-section node correlation coefficient, a second final water quality test result of the sewage pipe section; Based on the third water quality test result of the drainage pipe section, determine the third key water quality test node and the third water quality test common node corresponding to the drainage pipe section and the third intra-section node correlation coefficient therebetween, and determine the third final water quality test result of the drainage pipe section based on the third intra-section node correlation coefficient; Based on the fourth water quality test 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 test result of the circulating water pipeline section is determined.

[0026] The first key water quality detection node is usually the water quality detection point in the water supply pipeline section where water quality deterioration (water pollution) is most likely to occur.

[0027] The first common water quality detection node is usually a water quality detection point in the water supply pipe section where water quality deterioration is not likely to occur.

[0028] The node correlation coefficient within the first section characterizes the mutual influence of water quality changes between the first key water quality detection node and the first ordinary water quality detection node. Generally speaking, a larger node correlation coefficient within the first section indicates a greater mutual influence of water quality changes between the first key water quality detection node and the first ordinary water quality detection node. Conversely, a smaller node correlation coefficient within the first section indicates a smaller mutual influence of water quality changes between the first key water quality detection node and the first ordinary water quality detection node.

[0029] The second key water quality detection node is usually the water quality detection point in the sewage pipe section where water quality deterioration (water pollution) is most likely to occur.

[0030] The second common water quality testing node is usually a water quality testing point in the sewage pipe section where water quality deterioration is not likely to occur.

[0031] The node correlation coefficient within the second section characterizes the mutual influence of water quality changes between the second key water quality detection node and the second ordinary water quality detection node. Generally speaking, a larger node correlation coefficient within the second section indicates a greater mutual influence of water quality changes between the second key water quality detection node and the second ordinary water quality detection node. Conversely, a smaller node correlation coefficient within the second section indicates a smaller mutual influence of water quality changes between the second key water quality detection node and the second ordinary water quality detection node.

[0032] The third key water quality detection node is usually the water quality detection point in the drainage pipe section where water quality deterioration (water pollution) is most likely to occur.

[0033] The third common water quality testing node is usually a water quality testing point in the drainage pipe section where water quality deterioration is not likely to occur.

[0034] The node correlation coefficient within the third section characterizes the mutual influence of water quality changes between the third key water quality detection node and the third ordinary water quality detection node. Generally speaking, a larger node correlation coefficient within the third section indicates a greater mutual influence of water quality changes between the third key water quality detection node and the third ordinary water quality detection node. Conversely, a smaller node correlation coefficient within the third section indicates a smaller mutual influence of water quality changes between the third key water quality detection node and the third ordinary water quality detection node.

[0035] The fourth key water quality detection node is usually the water quality detection point in the circulating water pipeline section where water quality deterioration (water pollution) is most likely to occur.

[0036] The fourth common water quality detection node is usually a water quality detection point in the circulating water pipeline section where water quality deterioration is not likely to occur.

[0037] The fourth correlation coefficient represents the mutual influence of water quality changes between the fourth key water quality detection node and the fourth ordinary water quality detection node. Generally speaking, a larger fourth correlation coefficient indicates a greater mutual influence of water quality changes between the fourth key water quality detection node and the fourth ordinary water quality detection node. Conversely, a smaller fourth correlation coefficient indicates a smaller mutual influence of water quality changes between the fourth key water quality detection node and the fourth ordinary water quality detection node.

[0038] In some embodiments, a water supply pipe section includes multiple 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 pipe section, determining the first water quality key detection node and the first water quality detection common node corresponding to the water supply pipe section and the first intra-section node correlation coefficient therebetween includes: The water quality detection point whose sampling detection result exceeds the preset water quality standard threshold and whose difference between the sampling detection result and the preset water quality standard threshold is the largest is determined as the first water quality key detection node, and the remaining water quality detection points are all determined as the first water quality detection ordinary nodes; A first water quality detection common node and a first water quality key detection node are determined as a group, and a node correlation coefficient within the first road section corresponding to each group is determined.

[0039] The preset water quality standard threshold can be determined based on relevant industrial water testing standards.

[0040] As an example, combining Figure 3Assume that three water quality detection points are set in the water supply pipe section between the water supply tank 101 and the industrial boiler equipment 102, namely water quality detection points A1, A2 and A3. Among them, water quality detection sensor a1 is correspondingly arranged at water quality detection point A1, water quality detection sensor a2 is correspondingly arranged at water quality detection point A2, and water quality detection sensor a3 is correspondingly arranged at water quality detection point A3. Water quality detection sensor a1 is used to sample and detect the water flowing through water quality detection point A1, obtain sampling detection result 1, and transmit it to the first water quality detection sub-control 105. Water quality detection sensor a2 is used to sample and detect the water flowing through water quality detection point A2, obtain sampling detection result 2, and transmit it to the first water quality detection sub-control 105. Water quality detection sensor a3 is used to sample and detect the water flowing through water quality detection point A3, obtain 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, 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 water quality detection points as the first water quality detection ordinary nodes. 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 both 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 ordinary nodes.

[0041] Next, water quality detection points A1 and A2 are divided into group 1, and the node correlation coefficient 1 of the first road segment corresponding to group 1 is determined. Water quality detection points A1 and A3 are divided into group 2, and the node correlation coefficient 2 of the first road segment corresponding to group 2 is determined.

[0042] In some embodiments, determining the node association coefficient within the first road segment corresponding to each group includes: For each group, determining a first Euclidean distance value between a first common water quality detection node and a first key water quality detection node in the group; According to the first Euclidean distance value, a node association coefficient within the first road section between the first water quality detection common node and the first water quality key detection node in the group is determined.

[0043] For ease of understanding, continue with the above example. For group 1, determine the first Euclidean distance between water quality detection point A1 (the first key water quality detection node) and water quality detection point A2 (the first ordinary water quality detection node). , then, based on the first Euclidean distance value , determine the node correlation coefficient within the first section between them For group 2, determine the first Euclidean distance between water quality detection point A1 and water quality detection point A3 , then, based on the first Euclidean distance value , determine the node correlation coefficient within the first section between them .

[0044] In some embodiments, determining the node correlation coefficient within the first road section between the first ordinary water quality detection node and the first key water quality detection node in the group according to the first Euclidean distance value includes: If the first Euclidean distance value is less than the first preset distance value, determining that the node correlation coefficient in the first section between the first ordinary water quality detection node and the first key water quality detection node in the group is 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, determining a node correlation coefficient within the first road section between the first water quality detection common node and the first water quality key detection node in the group based on the first Euclidean distance value, the first preset distance value, and the second preset distance value; 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, it is determined that the node correlation coefficient in the first section between the first water quality detection common node and the first water quality key detection node in the group is 0.

[0045] Taking group 1 in the above example as an example, in the first case, if the first Euclidean distance between water quality detection point A1 (the first water quality key detection node) and water quality detection point A2 (the first water quality detection ordinary node) is If the distance is less than the first preset value, the node correlation coefficient in the first section between the water quality detection point A1 and the water quality detection point A2 is determined. 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 great influence on each other in the short term.

[0046] In the second case, if the first Euclidean distance between water quality detection point A1 (the first water quality key detection node) and water quality detection point A2 (the first water quality detection ordinary node) is If the distance is greater than or equal to the first preset distance value and less than the second preset distance value, the node correlation coefficient in the first section between the water quality detection point A1 and the water quality detection point A2 is determined based on the first Euclidean distance value, the first preset distance value, and the second preset distance value. Specifically, the node correlation coefficient of the first section between water quality detection point A1 and water quality detection point A2 can be calculated according to formula (1): .

[0047] (1); In formula (1), represents the node association coefficient within the first road segment, represents the first Euclidean distance value, represents the first preset distance value, Indicates the second preset distance value.

[0048] In this case, the distance between water quality detection point A1 and water quality detection point A2 is small, indicating that the water quality of these two detection points will have a certain degree of mutual influence in the short term.

[0049] In the third case, if the first Euclidean distance between water quality detection point A1 (the first water quality key detection node) and water quality detection point A2 (the first water quality detection ordinary node) is If the distance is greater than or equal to the second preset distance value, the node correlation coefficient in the first section between the water quality detection point A1 and the water quality detection point A2 can be determined. is 0. In this case, the distance between water quality detection point A1 and water quality detection point A2 is large, indicating that the mutual influence of water quality at these two detection points in the short term is very weak and can be ignored.

[0050] In some embodiments, determining a first final water quality test result of the water pipe section based on the node correlation coefficient within the first section includes: Determine the water quality test result of each group based on the node correlation coefficient within the first road section corresponding to each group; A weighted operation is performed on the group water quality test results corresponding to each group to obtain the first and final water quality test results of the water supply pipe section.

[0051] For ease of understanding, continue with the above example, see Figure 3 , taking group 1 as an example, in the first case, if the node correlation coefficient in the first section between water quality detection point A1 (the first water quality key detection node) and water quality detection point A2 (the first water quality detection ordinary node) is is 1, then the sampling test result 1 corresponding to the water quality test point A1 or the sampling test result 2 corresponding to the water quality test point A2 is determined as the group test result 1 of the group 1.

[0052] In the second case, if the node correlation coefficient of the first section between water quality detection point A1 (the first key water quality detection node) and water quality detection point A2 (the first ordinary water quality detection node) is for , then the average value 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.

[0053] In the third case, if the node correlation coefficient of the first section between water quality detection point A1 (the first key water quality detection node) and water quality detection point A2 (the first ordinary water quality detection node) is 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 group 1.

[0054] It can be understood that for group 2, the above method can be referred to to determine the group detection result 2 corresponding to group 2, which will not be repeated here.

[0055] Next, determine the weight coefficients corresponding to group 1 and group 2 、 ,in, , ,and .

[0056] In practical applications, the degree of influence of the sampling test results of different groups on the water quality of the water supply pipe section can be determined. and For example, if the sampling test results of group 1 have a greater impact on the water quality of the water supply pipe section than the sampling test results of group 2, then > If the sampling test results of group 1 have a smaller impact on the water quality of the water supply pipe section than the sampling test results of group 2, then < If the sampling test results of group 1 and group 2 have no significant difference in the degree of impact on the water quality of the water supply pipe section, then = .

[0057] Finally, according to the weight coefficient 、 A weighted operation is performed on the group detection result 1 corresponding to group 1 and the group detection result 2 corresponding to group 2 to obtain a first final water quality detection result of the water supply pipe section.

[0058] It can be understood that, referring to the above-mentioned embodiment, the second water quality key detection node and the second water quality detection ordinary node in the sewage pipe section and the second section node correlation coefficient between them are determined based on the second water quality detection result, and the second final water quality detection result of the sewage pipe section is determined based on the second section node correlation coefficient; the third water quality key detection node and the third water quality detection ordinary node in the drainage pipe section and the third section node correlation coefficient between them are determined based on the third water quality detection result, and the third final water quality detection result of the drainage pipe section is determined based on the third section node correlation coefficient; the fourth water quality key detection node and the fourth water quality detection ordinary node in the circulating water pipe section and the fourth correlation coefficient between them are determined based on the fourth water quality detection result, and the fourth final water quality detection result of the circulating water pipe section is determined based on the fourth correlation coefficient, which will not be repeated here.

[0059] In some embodiments, based on the inter-segment node correlation coefficients between each pair of nodes at the key water quality detection points corresponding to each pipeline segment, water treatment control strategies and / or water quality detection control strategies are distributed to the water quality detection sub-controllers corresponding to each pipeline segment, including: Determine the inter-section node correlation coefficient between any two of the first key water quality detection node, the second key water quality detection node, the third key water quality detection node, and the fourth key water quality detection node; Distribute water treatment control strategies and / or water quality detection control strategies 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 node correlation coefficient between the road sections; Among them, the water treatment control strategy includes controlling at least one of the water flow rate, water flow rate, water quality standard threshold or water treatment method of the water supply pipe section, sewage pipe section, drainage pipe section and circulating water pipe section; the water quality detection control strategy includes controlling the number of water quality detection points and the number of water quality detection times of the water supply pipe section, sewage pipe section, drainage pipe section and circulating water pipe section.

[0060] As an example, assuming that the first key water quality detection node of the water supply pipe section is water quality detection point A1, the second key water quality detection node of the sewage pipe section is water quality detection point B1, the third key water quality detection node of the drainage pipe section is water quality detection point C3, and the fourth key water quality detection node of the circulating water pipe section is D2, then calculate the node correlation coefficient between A1 and B1 , the node correlation coefficient between the road sections A1 and C3 , the node correlation coefficient between the road sections A1 and D2 , the node correlation coefficient between the sections B1 and C3 , the node correlation coefficient between the sections B1 and D2 , the node correlation coefficient between C3 and D2 .

[0061] The node correlation coefficient between sections can be determined by referring to the method of determining the node correlation coefficient between the first water quality key detection node and the first water quality detection common node in the water supply pipe section in the above embodiment. ~ , I will not go into details here.

[0062] Next, by comparing the node correlation coefficients between road segments 、 、 The maximum correlation coefficient is determined, and the water treatment control strategy for the water supply pipe section between the water supply tank 101 and the industrial boiler equipment 102 is determined based on the maximum correlation coefficient. For example, assuming that the node correlation coefficient between the sections is 、 、 The size arrangement results are: , then the maximum correlation coefficient is This indicates that water quality monitoring point A1 in the water supply pipe section significantly impacts the water quality at water quality monitoring point B1 in the sewage pipe section. Based on this, appropriate adjustments can be made to at least one of the following: water flow rate, water velocity, water quality threshold, or water treatment method (for example, by adding chemicals to adjust water hardness, pH, alkalinity, and other indicators in the water supply pipe section) to reduce their impact on water quality at water quality monitoring point B1, thereby improving the water quality at water quality monitoring point B1.

[0063] Similarly, by comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water treatment control strategy for the sewage pipe section between the industrial boiler equipment 102 and the sewage pool 103 is determined based on the maximum correlation coefficient (that is, adjusting at least one of the water flow rate, water flow rate, water quality standard threshold or water treatment method of the sewage pipe section).

[0064] By comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water treatment control strategy for the drainage pipe section between the sewage pool 103 and the circulating water pool 104 is determined based on the maximum correlation coefficient (that is, adjusting at least one of the water flow rate, water flow rate, water quality standard threshold or water treatment method of the drainage pipe section).

[0065] By comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water treatment control strategy for the circulating water pipe section between the circulating water tank 104 and the industrial boiler equipment 102 is determined based on the maximum correlation coefficient (specifically, it can be to adjust at least one of the water flow rate, water flow rate, water quality standard threshold or water treatment method of the circulating water pipe section).

[0066] The above implementation method fully takes into account the degree of mutual influence of water quality between each key water quality detection node in the water supply pipe section, sewage pipe section, drainage pipe section, and circulating water pipe section. It can systematically, comprehensively and accurately monitor the water quality of the water supply link, sewage link, sewage treatment link, and circulating water link of industrial boiler equipment during operation from a macro perspective, which is conducive to further ensuring the normal operation of industrial boilers and improving their safety and stability performance.

[0067] To facilitate understanding, continue with the above example and compare the node correlation coefficients between road sections. 、 、 The size between them is used to determine the maximum correlation coefficient, and the water quality detection and control strategy for the water supply pipe section between the water supply tank 101 and the industrial boiler equipment 102 is determined based on the maximum correlation coefficient (that is, increase / decrease the number of water quality detection points and the number of water quality detection times in the water supply management section).

[0068] By comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water quality detection control strategy for the sewage pipe section between the industrial boiler equipment 102 and the sewage pool 103 is determined based on the maximum correlation coefficient (that is, increasing / decreasing the number of water quality detection points and the number of water quality detection times in the sewage pipe section).

[0069] By comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water quality detection control strategy for the drainage pipe section between the sewage pool 103 and the circulating water pool 104 is determined based on the maximum correlation coefficient (i.e., increasing / decreasing the number of water quality detection points and the number of water quality detection times in the drainage pipe section).

[0070] By comparing the node correlation coefficients between road sections 、 、 The size between them is used to determine the maximum correlation coefficient, and the water quality detection control strategy for the circulating water pipe section between the circulating water pool 104 and the industrial boiler equipment 102 is determined based on the maximum correlation coefficient (that is, increasing / decreasing the number of water quality detection points and the number of water quality detection times in the circulating water pipe section).

[0071] The above implementation method fully takes into account the degree of mutual influence of water quality between each key water quality detection node in the water supply pipe section, sewage pipe section, drainage pipe section, and circulating water pipe section, and increases / decreases 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 between each key water quality detection node. It can improve the efficiency and cost of water quality detection while ensuring the accuracy of the water quality detection results of each pipeline section.

[0072] All of the above optional technical solutions can be combined in any way to form optional embodiments of the present application, and will not be described in detail here.

[0073] The following are device embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0074] Figure 4 This is a schematic diagram of the structure of a water quality detection system provided in the embodiment of the present application. Figure 4 As shown, the water quality detection system includes: Water quality detection master control 109, first water quality detection sub-control 105, second water quality detection sub-control 106, third water quality detection sub-control 107 and fourth water quality detection sub-control 108; 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; The first water quality detection sub-controller 105 is configured to perform synchronous sampling and detection on each water quality detection point in the water supply pipe section of the industrial boiler equipment, obtain a first water quality detection result, and upload it to the water quality detection master control; The second water quality detection sub-controller 106 is configured to perform synchronous sampling and detection on each water quality detection point in the sewage pipe section of the industrial boiler equipment, obtain a second water quality detection result, and upload it to the water quality detection master control; The third water quality detection sub-controller 107 is configured to perform synchronous sampling and detection on each water quality detection point in the drainage pipe section of the industrial boiler equipment, obtain a third water quality detection result, and upload it to the water quality detection master control; The fourth water quality detection sub-controller 108 is configured to perform synchronous sampling and detection on each water quality detection point in the circulating water pipe section of the industrial boiler equipment, obtain a fourth water quality detection result, and upload it to the water quality detection master control; The water quality detection master control 109 is configured to execute each step of the water quality detection method in the above embodiment.

[0075] The technical solution provided in the embodiment of the present application, 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, can achieve comprehensive, accurate and systematic monitoring of the water quality of the water supply link, sewage discharge link, sewage treatment link and circulating water link of industrial boiler equipment during operation, which is conducive to ensuring the normal operation of industrial boilers and improving their safety and stability performance.

[0076] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0077] Figure 5 Schematic diagram of a water quality detection device 500 provided in an embodiment of the present application. Figure 5 As shown, 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 by the processor 501. When the processor 501 executes the computer program 503, the steps of the above-mentioned method embodiments are implemented. Alternatively, when the processor 501 executes the computer program 503, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0078] The water quality detection device 500 can be an electronic device such as a desktop computer, a notebook, a PDA, or a cloud server. The water quality detection device 500 can include but is not limited to a processor 501 and a memory 502. It will be understood by those skilled in the art that Figure 5 The water quality detection device 500 is merely an example and does not limit the water quality detection device 500 , and may include more or fewer components than shown in the figure, or different components.

[0079] The processor 501 may 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 devices, discrete hardware components, etc.

[0080] The memory 502 can be an internal storage unit of the water quality testing device 500, such as a hard disk or memory of the water quality testing device 500. The memory 502 can also be an external storage device of the water quality testing device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash memory card, etc. equipped on the water quality testing device 500. The memory 502 can also include both the internal storage unit of the water quality testing device 500 and an external storage device. The memory 502 is used to store computer programs and other programs and data required by the water quality testing device.

[0081] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0082] If the integrated module / unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a readable storage medium, and when executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program can include computer program code, which can be in source code form, object code form, executable file, or some intermediate form. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, removable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media. It should be noted that the content included in computer-readable media can be appropriately increased or decreased based on the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electrical carrier signals or electrical signals.

[0083] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A water quality detection method, characterized in that: Applied to water quality detection and control, including: 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 simultaneously obtained; Based on the water quality test results of each pipeline section, determine the key water quality test points, common water quality test points and the intra-section node correlation coefficients corresponding to each pipeline section, and determine the final water quality test results of each pipeline section based on the intra-section node correlation coefficients corresponding to each pipeline section; Based on the inter-section node correlation coefficient between each pair of nodes of the key water quality detection points corresponding to each pipeline section, water treatment control strategies and / or water quality detection control strategies are distributed to the water quality detection sub-control stations corresponding to each pipeline section.

2. The method according to claim 1, characterized in that Based on the water quality test results of each pipeline section, the key water quality test points, common water quality test points and the intra-section node correlation coefficients corresponding to each pipeline section are determined. Based on the intra-section node correlation coefficients corresponding to each pipeline section, the final water quality test results of each pipeline section are determined, including: Determine, based on the first water quality test result of the water supply pipe section, a first water quality key test node and a first water quality test common node corresponding to the water supply pipe section and a first intra-section node correlation coefficient therebetween, and determine, based on the first intra-section node correlation coefficient, a first final water quality test result of the water supply pipe section; Determining, based on the second water quality test result of the sewage pipe section, a second key water quality test node and a second common water quality test node corresponding to the sewage pipe section and a second intra-section node correlation coefficient therebetween, and determining, based on the second intra-section node correlation coefficient, a second final water quality test result of the sewage pipe section; Determining, based on the third water quality test result of the drainage pipe section, a third key water quality test node and a third common water quality test node corresponding to the drainage pipe section and a third intra-section node correlation coefficient therebetween, and determining, based on the third intra-section node correlation coefficient, a third final water quality test result of the drainage pipe section; Based on the fourth water quality test 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 test result of the circulating water pipeline section is determined.

3. The method according to claim 2, characterized in that The water supply pipe section includes a plurality of water quality detection points, and the first water quality detection result includes a sampling detection result corresponding to each of the water quality detection points; Based on the first water quality detection result of the water supply pipe section, determining the first water quality key detection node and the first water quality detection common node corresponding to the water supply pipe section and the first intra-section node correlation coefficient therebetween, including: The water quality detection point whose sampling detection result exceeds the preset water quality standard threshold and whose difference between the sampling detection result 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 all determined as the first ordinary water quality detection nodes; The first water quality detection common node and the first water quality key detection node are determined as a group, and the node association coefficients in the first road section corresponding to each of the groups are determined.

4. The method according to claim 3, characterized in that Determining the node association coefficient within the first road section corresponding to each of the groups includes: For each group, determining a first Euclidean distance value between a first common water quality detection node and the first key water quality detection node in the group; According to the first Euclidean distance value, a node association coefficient within the first road section between the first water quality detection common node and the first water quality key detection node in the group is determined.

5. The method according to claim 4, characterized in that Determining, based on the first Euclidean distance value, a node correlation coefficient within the first road section between the first ordinary water quality detection node and the first key water quality detection node in the group, comprising: If the first Euclidean distance value is less than a first preset distance value, determining that the node correlation coefficient within the first road section between the first ordinary water quality detection node and the first key water quality detection node in the group is 1; If the first Euclidean distance value is greater than or equal to a first preset distance value and less than a second preset distance value, determining a node association coefficient within the first road section between the first water quality detection common node and the first water quality key detection node in the group based on the first Euclidean distance value, the first preset distance value, and the second preset distance value; 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, it is determined that the node correlation coefficient within the first section between the first ordinary water quality detection node and the first key water quality detection node in the group is 0.

6. The method according to claim 3, characterized in that Determining a first final water quality test result of the water pipe section based on a node correlation coefficient within the first section includes: Determining a group water quality detection result based on a node association coefficient within the first road section corresponding to each group; A weighted operation is performed on the group water quality test results corresponding to each group to obtain a first final water quality test result of the water supply pipe section.

7. The method according to claim 2, characterized in that Based on the node correlation coefficients between each pair of nodes at the key water quality detection points corresponding to each pipeline section, water treatment control strategies and / or water quality detection control strategies are distributed to the water quality detection sub-control units corresponding to each pipeline section, including: Determine the inter-section node correlation coefficient between any two of the first key water quality detection node, the second key water quality detection node, the third key water quality detection node, and the fourth key water quality detection node; Distributing water treatment control strategies and / or water quality detection control strategies to 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 based on the node correlation coefficients between the road sections; Among them, the water treatment control strategy includes controlling at least one of the water flow rate, water flow rate, water quality standard threshold or water treatment method of the water supply pipe section, sewage pipe section, drainage pipe section and circulating water pipe section; the water quality detection control strategy includes controlling the number of water quality detection points and the number of water quality detection times of the water supply pipe section, sewage pipe section, drainage pipe section and circulating water pipe section.

8. A water quality detection system, characterized in that: include: Water quality testing master control, first water quality testing sub-control, second water quality testing sub-control, third water quality testing sub-control and fourth water quality testing sub-control; The water quality detection master control is respectively connected to 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 in communication; The first water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the water supply pipe section of the industrial boiler equipment, obtain a first water quality detection result, and upload it to the water quality detection master control; The second water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the sewage pipe section of the industrial boiler equipment, obtain a second water quality detection result, and upload it to the water quality detection master control; The third water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the drainage pipe section of the industrial boiler equipment, obtain a third water quality detection result, and upload it to the water quality detection master control; The fourth water quality detection sub-controller is configured to perform synchronous sampling and detection on each water quality detection point in the circulating water pipe section of the industrial boiler equipment, obtain a fourth water quality detection result, and upload it to the water quality detection master control; The water quality detection master control is configured to execute the steps of the method according to any one of claims 1 to 7.

9. A water quality detection device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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