Smart City Water Environment Monitoring System

Abstract

The present invention belongs to the technical field of water environment monitoring. The present invention discloses a smart city water environment monitoring system, including a data processing module, which compares and analyzes the received monitoring value Y with a first warning threshold. If a first instruction is generated, the coordinates of the water quality monitoring module corresponding to the monitoring value Y are retrieved, and an early warning area is generated with this coordinate as the center point and the diffusion radius warning value r as the radius. At time k, the monitoring values Y of M water quality monitoring modules within the early warning area are actively acquired, and the mean value of the M monitoring values Y is calculated #imgabs0# Calculate the mean value #imgabs1# The degree of dispersion S k ; At time k + 1, calculate #imgabs2# and the degree of dispersion S k+1 ; The calculated #imgabs3# S k is compared with #imgabs4# S k+1 for comparison and analysis to determine whether a prompt message is generated; by determining the state of the pollution source, a prompt message is generated in a timely manner, avoiding frequent triggering of warnings by the water quality monitoring module, facilitating the monitoring staff to judge the input state of the pollution source, reducing the workload of the staff, and facilitating the staff to judge the input state of the pollution source.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment monitoring, and particularly to a smart city water environment monitoring system. Background Art

[0002] In the existing water environment monitoring system, by setting the warning threshold of the water quality monitoring module, that is, setting the warning threshold of the relevant water quality monitoring sensors, under the condition of not affecting the water environment safety of the entire monitored water area, single-point pollutant exceeding the standard frequently occurs, resulting in frequent triggering of the warning of the water environment monitoring system, leading to frequent responses from the staff. Other data are also needed to confirm the input state of the pollution source and judge whether the pollution source is continuously expanding, which increases the workload of the staff. In many cases, when single-point pollutant exceeds the standard but does not continuously expand the pollution, it can be self-purified and repaired by the water body.

[0003] Secondly, the frequent warnings will also reduce the attention of the staff, and will also lead to untimely confirmation and treatment of the pollution source, resulting in a major pollution situation in the water environment of the monitored area.

[0004] In view of this, the inventor of the present application has invented a smart city water environment monitoring system. Summary of the Invention

[0005] The present invention provides a smart city water environment monitoring system in view of the deficiencies of the prior art.

[0006] The present invention solves the above technical problems through the following technical means: A smart city water environment monitoring system includes:

[0007] A water quality monitoring module, which obtains the monitoring value Y of the water environment data of the monitored water area. The number of water quality monitoring modules is N, where N is an integer greater than 1. The N water quality monitoring modules are placed in the monitored water area in a grid pattern;

[0008] The monitoring end includes:

[0009] A receiving module, which receives the monitoring value Y obtained by the water quality monitoring module;

[0010] A warning area setting module, which sets the diffusion radius warning value r. The diffusion radius warning value r is the diffusion range of the pollution source in the monitored water area;

[0011] A marking module, which marks the N water quality monitoring modules in the GIS electronic map to generate the coordinate data of the N water quality monitoring modules;

[0012] A threshold setting module, which is used to set the first warning threshold. The first warning threshold is the warning threshold of a single water quality monitoring module;

[0013] The data processing module compares and analyzes the received monitoring value Y with the first warning threshold to determine whether to generate a first instruction. If the first instruction is generated, it retrieves the coordinates of the water quality monitoring module corresponding to the monitoring value Y, takes this coordinate as the center point, and generates a warning area with a diffusion radius warning value r as the radius. At time k, it actively obtains the monitoring values Y of M water quality monitoring modules within the warning area and calculates the average value of the M monitoring values Y M is an integer greater than 1, M ≤ N, and calculate the average value Degree of dispersion S k ;

[0014] At time k + 1, it actively obtains the monitoring values Y of M water quality monitoring modules within the warning area and calculates the average value of the M monitoring values Y And the average value at time k + 1 Degree of dispersion S k+1 ;

[0015] Compare and analyze the calculated S k With S k+1 Compare and analyze to determine whether to generate a prompt message

[0016] Furthermore, if the received monitoring value Y is greater than the comparison and analysis of the first warning threshold, a first instruction is generated; if the received monitoring value Y is less than or equal to the comparison and analysis of the first warning threshold, no first instruction is generated

[0017] Furthermore, S k The calculation formula is as follows

[0018]

[0019] Furthermore, S k+1 , the calculation formula is as follows

[0020]

[0021] Furthermore, if S k+1 < S k , then a prompt message is generated

[0022] If S k+1 > S k , then no prompt message is generated

[0023] If S k+1 > S k , then a prompt message is generated

[0024] Furthermore, the threshold setting module also sets a second warning threshold, and the second warning threshold is greater than the first warning threshold; if If it is greater than the second warning threshold, a prompt message is generated.

[0025] Furthermore, the prompt message includes the pollution source location coordinates, which are the coordinates of the water quality monitoring module corresponding to the monitored value Y obtained by retrieval when generating the first instruction.

[0026] Advantages of the present invention:

[0027] For the smart city water environment monitoring system of the present invention, by setting the first warning threshold, when the pollutant concentration triggers the first warning threshold, a first instruction is generated. With the pollution source as the center, the system automatically delimits the risk area to be further confirmed according to the setting. The pollutant concentration monitoring values are continuously obtained within the risk area, and the average value of the pollutant concentration monitoring values and the dispersion degree of the pollutant concentration monitoring values within the risk area are calculated to determine the input state of the pollution source, that is, to determine the pollution source state as continuous input, discontinuous input, and multi-point input. According to different pollution source input states and pollutant concentration magnitudes, prompt messages are generated in a timely manner, avoiding frequent triggering of warnings by the water quality monitoring module, reducing the workload of staff, and facilitating the staff at the monitoring end to judge the pollution source input state and make corresponding treatment strategies in a timely manner. It is beneficial for the staff to judge the pollution range and the direction of continuous pollution diffusion and make corresponding treatment strategies in a timely manner. Description of the Drawings

[0028] Figure 1 It is a schematic diagram of the connection between the water quality monitoring module and the monitoring end of the present invention;

[0029] Figure 2 It is a schematic diagram of the composition of the monitoring end of the present invention;

[0030] Figure 3 It is a schematic diagram of the diffusion of the pollution source input state of the present invention Figure 1 ;

[0031] Figure 4 It is a schematic diagram of the diffusion of the pollution source input state of the present invention Figure 2 。

[0032] In the figure: 1. Water quality monitoring module; 2. Monitoring end;

[0033] 21. Receiving module; 22. Warning area setting module; 23. Marking module; 24. Threshold setting module; 25. Data processing module. Detailed Embodiments

[0034] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time.

[0036] Embodiment

[0037] Please refer to Figure 1 As shown, a smart city water environment monitoring system described in this embodiment includes a water quality monitoring module 1 and a monitoring terminal 2. The monitoring terminal 2 is connected to the water quality monitoring module 1 through a wired network or a wireless network.

[0038] The water quality monitoring module 1 is used to obtain the water environment data monitoring value Y of the monitored water area. The number of water quality monitoring modules 1 is N, where N is an integer greater than 1. The N water quality monitoring modules 1 are placed in the monitored water area in a grid pattern. The water quality monitoring module 1 is a combination of multiple monitoring sensors, including a flow velocity sensor, a flow rate sensor, a water pressure sensor, a water temperature sensor, an oxygen content sensor, a pH value sensor, an ammonia nitrogen sensor, etc.

[0039] Please refer to Figure 2 As shown, the monitoring terminal 2 includes a receiving module 21, a warning area setting module 22, a marking module 23, a threshold setting module 24, and a data processing module 25. The receiving module 21 receives the water environment data monitoring value Y obtained by the water quality monitoring module 1.

[0040] Please refer to Figure 3 As shown, the warning area setting module 22 is used to set the diffusion radius warning value r. The diffusion radius warning value r is the diffusion range of the pollution source in the monitored water area. Among them, the diffusion radius warning value r is specifically set according to the size of the monitored water area. The diffusion radius warning value r is positively correlated with the size of the monitored water area and will not be specifically set here.

[0041] The marking module 23 marks the N water quality monitoring modules 1 in the GIS electronic map, generates the coordinate data of the N water quality monitoring modules 1, and numbers the N water quality monitoring modules 1 with unique numbers.

[0042] The threshold setting module 24 is used to set the first warning threshold and the second warning threshold. The first warning threshold is the warning threshold of a single water quality monitoring module 1, which is set accordingly based on the sensors included in the water quality monitoring module 1. For example, for an ammonia nitrogen sensor, the adjacent water ammonia nitrogen warning value is set. The second warning threshold is the average warning threshold of all the monitoring values Y in the warning area, that is, the average warning threshold of all the monitoring values Y obtained by the water quality monitoring module 1 in the warning area. The second warning threshold is greater than the first warning threshold, and the size of the second warning threshold is set by the staff according to the water quality category level to set the pollutant warning threshold accordingly.

[0043] The data processing module 25 compares and analyzes the received monitoring value Y with the first warning threshold. If the monitoring value Y is less than or equal to the warning threshold of the water quality monitoring module 1, no first instruction is generated. If the monitoring value Y is greater than the warning threshold of the water quality monitoring module 1, a first instruction is generated, and the coordinates of the water quality monitoring module 1 corresponding to the monitoring value Y are retrieved. Taking this coordinate as the origin and the diffusion radius warning value r as the radius, a warning area is generated. At time k, the monitoring values Y of M water quality monitoring modules 1 in the warning area are actively obtained, and the average value of the M monitoring values Y is calculated. M is an integer greater than 1, M ≤ N, and the average value is calculated. The degree of dispersion S k , and the calculation formula is as follows:

[0044]

[0045] At time k + 1, the monitoring values Y of M water quality monitoring modules 1 in the warning area are actively obtained, and the average value of the M monitoring values Y is calculated. And the average value at time k + 1 The degree of dispersion S k+1 , and the calculation formula is as follows:

[0046]

[0047] Time k + 1 is the next moment of time k. The interval between time k and time k + 1 can be 1 minute or 5 minutes. The length of the time interval is set in a positive correlation with the size of the warning area; the calculated S k And S k+1 Are compared and analyzed.

[0048] If S k+1 < S k , the degree of dispersion of the monitoring values gradually decreases, and the monitoring values increase, that is, the pollution concentration gradually increases. This indicates that the pollution source is continuously input into the warning area. At this time, a prompt message is generated in a timely manner to prompt the staff to go to deal with it in a timely manner;

[0049] If S k+1 >S k , the discrete degree of monitoring values ​​gradually increases, and the pollution concentration gradually decreases, which means that the pollution source is not continuously input into the warning area. At this time, no prompt information is generated. This situation may be that the washing powder containing phosphorus and nitrogen enters the monitoring water area at one time when washing clothes, and then gradually spreads. The pollutant concentration gradually decreases, and a small amount enters the monitoring water area. The water body of the monitoring water area can be self-purified, so there is no need to generate a prompt information.

[0050] See also Figure 4 As shown, if S k+1 >S k , the degree of dispersion of monitoring values ​​gradually increases, and the pollution concentration gradually rises, which means that the pollution source is not input into the warning area from one point, but from multiple points. The diffusion direction of the pollution source is shown in the direction A in the figure. When the pollution source begins to spread, the monitoring value of the overlapping part of the adjacent warning areas is higher than the monitoring value of other parts far away from the overlapping part, which will cause the overall mean of the monitoring values ​​in the corresponding monitoring area to increase, and the degree of dispersion of the monitoring values ​​will gradually increase. Based on this result, it can be determined that the pollution source is spreading in the monitoring waters at multiple points. At this time, a prompt message should be generated to prompt the staff to go to deal with it in time.

[0051] like If it is greater than the second warning threshold, a prompt message should be generated, indicating that the pollutant concentration in the warning area has seriously exceeded the standard.

[0052] The prompt information includes the pollution source location coordinates. The pollution source location coordinates are the coordinates of the water quality monitoring module 1 corresponding to the monitoring value Y obtained when the first instruction is generated, so as to facilitate the staff going to the monitoring water area to quickly locate the pollution source, timely sample and analyze the pollution source, and formulate corresponding treatment strategies.

[0053] It should be noted that, in this article, if there are first and second, etc., relational terms are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0054] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart city water environment monitoring system, which is used in the monitoring terminal (2). It is characterized in that the monitoring terminal (2) includes: a receiving module (21) that receives the monitoring value Y obtained by the water quality monitoring module (1). The water quality monitoring module (1) obtains the water environment data monitoring value Y of the monitoring water area. The number of water quality monitoring modules (1) is N, where N is an integer greater than 1. The N water quality monitoring modules (1) are placed in the monitoring water area in a grid pattern; a warning area setting module (22) that sets the diffusion radius warning value r, and the diffusion radius warning value r is the diffusion range of the pollution source in the monitoring water area; a marking module (23) that marks the N water quality monitoring modules (1) in the GIS electronic map to generate the coordinate data of the N water quality monitoring modules (1); a threshold setting module (24) that is used to set the first warning threshold, and the first warning threshold is the warning threshold of a single water quality monitoring module (1); The data processing module (25) compares and analyzes the received monitoring value Y with the first warning threshold to determine whether to generate a first instruction. If the first instruction is generated, the coordinates of the water quality monitoring module (1) corresponding to the monitoring value Y are retrieved. Taking this coordinate as the center point and the diffusion radius warning value r as the radius, a warning area is generated. At time k, the monitoring values Y of M water quality monitoring modules (1) within the warning area are actively obtained, and the average value of the M monitoring values Y is calculated M is an integer greater than 1, M ≤ N, and the average value is calculated The degree of dispersion S k ; At time k + 1, actively obtain the monitoring values Y of M water quality monitoring modules (1) within the warning area, and calculate the mean value of the M monitoring values Y M is an integer greater than 1, M ≤ N, and calculate the mean value at time k + 1 Discrete degree S k+1 ; Compare the calculated S k with S k+1 for comparison and analysis to determine whether to generate a prompt message; If the received monitoring value Y is greater than the first warning threshold for comparison and analysis, a first instruction is generated; if the received monitoring value Y is less than or equal to the first warning threshold for comparison and analysis, no first instruction is generated; S k The calculation formula is as follows: S k+1 The calculation formula is as follows: Among them, Y i is the detection value of the i-th one in the early warning area; If S k+1 <S k , a prompt message is generated; If S k+1 >S k , no prompt message is generated; If S k+1 >S k , a prompt message is generated.

2. A smart city water environment monitoring system according to claim 1. It is characterized in that The threshold setting module (24) also sets a second warning threshold, and the second warning threshold is greater than the first warning threshold; if it is greater than the second warning threshold, a prompt message is generated.

3. A smart city water environment monitoring system according to claim 2. It is characterized in that The prompt information includes the pollution source location coordinates, and the pollution source location coordinates are the coordinates of the water quality monitoring module (1) corresponding to the obtained monitoring value Y when the first instruction is generated.

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