A water body monitoring and early warning method and device based on conductivity principle

Abstract

The present invention discloses a water body monitoring and early warning method based on the conductivity principle, which belongs to the field of water quality monitoring. The method comprises: defining monitoring points in the water body, installing a comprehensive sensor at each monitoring point, and uploading the collected data; transmitting the comprehensive sensor data collected in real time to a cloud platform; the cloud platform compares the received conductivity data with a preset conductivity range, and determines whether the received conductivity data exceeds the preset conductivity range. If it does not exceed the range, the monitoring continues; if it exceeds the range, the next step is executed; the cloud platform triggers an early warning mechanism, pushes the early warning information to relevant personnel, and displays the location and data of the abnormal monitoring point on the Web platform. The present invention realizes real-time monitoring of water quality, can timely discover abnormal water quality, and avoids the problem of delayed response.

Description

Technical Field

[0001] The present invention relates to the field of water quality monitoring, and in particular to a water body monitoring and early warning method and a device thereof based on the conductivity principle. Background Art

[0002] Water quality monitoring is an important part of environmental protection and resource management. At present, conventional water quality monitoring methods mainly rely on laboratory analysis, which has problems such as delayed response, inability to monitor in real time, and lack of automated early warning mechanisms, making it difficult to detect water quality abnormalities in a timely manner and take countermeasures.

[0003] Electrical conductivity reflects the physical and chemical changes in water, especially the concentration of dissolved ions, salts and dissolved organic matter (such as pollutants) in water. By monitoring the changes in the conductivity of water in real time, it can indirectly reflect the changes in indicators such as pollutant concentration, ion concentration, turbidity, etc. in water, providing an important basis for water quality management. However, the existing technology lacks a water quality early warning system based on conductivity monitoring, and cannot make full use of conductivity data to detect water quality abnormalities and respond in a timely manner. Summary of the invention

[0004] One of the purposes of the present invention is to provide a water body monitoring and early warning method based on the conductivity principle to solve the shortcoming of the prior art that there is a lack of real-time monitoring of the conductivity changes of the water body.

[0005] The present invention is implemented by the following technical scheme. A water body monitoring and early warning method based on the conductivity principle includes: S100, defining monitoring points in the water body, installing a comprehensive sensor at each monitoring point, and uploading the collected data, wherein the conductivity sensor is an electrode-type conductivity sensor with a detection accuracy of ±0.5%, and the comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor, and the temperature sensor, the humidity sensor and the conductivity sensor are coupled and connected with each other; S200, transmitting the comprehensive sensor data collected in real time to a cloud platform; S300, the cloud platform performs a range comparison between the received conductivity data and a preset conductivity range, and determines whether the received conductivity data exceeds the preset conductivity range. If it does not exceed the range, it returns to S100 to continue monitoring, and if it exceeds the range, it executes the next step; S400, the cloud platform triggers an early warning mechanism, pushes the early warning information to relevant personnel, and displays the location and data of the abnormal monitoring point on the Web platform at the same time.

[0006] Furthermore, step S100 includes the following sub-steps: S101, setting the first electrode and the second electrode of the electrode-type conductivity sensor and grounding them, forcing the potential of the first electrode along the upstream and the second electrode along the downstream to be set to 0, thereby reducing the impact on the measurement of the measuring electrode; S102, through the temperature compensation mechanism, temperature compensation is performed on the conductivity data according to the real-time monitored water temperature, thereby improving the measurement accuracy.

[0007] Furthermore, the comprehensive sensor data is transmitted to the cloud platform via LoRa wireless communication technology.

[0008] Furthermore, the preset conductivity range is 100-500 μS / cm.

[0009] Furthermore, step S400 includes the following sub-steps: S401, dynamically adjusting the warning threshold according to the data collected by the integrated sensor, as well as environmental factors such as temperature and precipitation; S402, calculating the TDS value by measuring the conductivity value based on the data of the integrated sensor according to the correlation between the TDS value and the conductivity of the water body, as an auxiliary indicator for water quality evaluation; S403, judging the water quality of the water body according to the water quality index value calculated above.

[0010] On the other hand, the present invention also provides a water body monitoring and early warning device based on the conductivity principle, including a sensor module, a transmission module, a determination module and an early warning trigger module, wherein the sensor module is configured to define monitoring points in the water body, install a comprehensive sensor at each monitoring point, and upload the collected data, the conductivity sensor is an electrode-type conductivity sensor with a detection accuracy of ±0.5%, and the comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor, and the temperature sensor, the humidity sensor and the conductivity sensor are coupled and connected to each other; the transmission module is connected to the sensor module and is configured to transmit the collected comprehensive sensor data to a cloud platform through LoRa wireless communication technology; the determination module is connected to the sensor module and is configured to perform a range comparison between the received conductivity data and a preset conductivity range, and determine whether the received conductivity data exceeds the preset conductivity range. If it does not exceed the range, it returns to the sensor module to continue monitoring, and if it exceeds the range, it triggers the early warning trigger module; the early warning trigger module is connected to the determination module and is configured to trigger the early warning mechanism, push the early warning information to relevant personnel, and display the location and data of the abnormal monitoring point on the Web platform.

[0011] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0012] 1. The present invention realizes real-time monitoring of water quality, can detect abnormal water quality in time, avoids the problem of delayed response, and has an automatic early warning mechanism. Once it detects that the conductivity exceeds the preset threshold, the system will automatically trigger an early warning, quickly respond to abnormal water quality, and take countermeasures.

[0013] 2. The present invention avoids the influence of external electrostatic fields on measurement results by optimizing sensor design and measurement circuit, improves measurement accuracy, and adopts a temperature compensation mechanism to effectively solve the measurement error problem caused by inaccurate temperature control. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0015] Figure 1 This is a flow chart of the method provided in Example 1 of the present invention.

[0016] Figure 2 This is a structural diagram of the device provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0018] Embodiment 1:

[0019] This embodiment discloses a water body monitoring and early warning method based on the conductivity principle. Figure 1 The flowchart of this embodiment is shown, and it can be seen from the figure that this embodiment includes the following steps:

[0020] Step 1: Define monitoring points in the water body, install comprehensive sensors at each monitoring point, and upload the collected data. The conductivity sensor is an electrode-type conductivity sensor with a detection accuracy of ±0.5%.

[0021] Specifically, the integrated sensor may include a temperature sensor, a humidity sensor and a conductivity sensor, and the temperature sensor, the humidity sensor and the conductivity sensor are coupled to each other.

[0022] Specifically, step 1 may include the following sub-steps:

[0023] 1) The electrode conductivity sensor is processed to reduce the influence on the measurement of the measuring electrode. Specifically, the first electrode and the second electrode of the electrode conductivity sensor can be set and grounded to force the potential of the first electrode along the upstream and the second electrode along the downstream to be set to 0.

[0024] 2) A temperature compensation mechanism can also be set up, which can perform temperature compensation on the conductivity data according to the real-time monitored water temperature, thereby improving the measurement accuracy.

[0025] Step 2: Transmit the data collected by the integrated sensor in real time to the cloud platform through LoRa wireless communication technology.

[0026] Step 3: The cloud platform compares the received conductivity data with the preset conductivity range to determine whether the received conductivity data exceeds the preset conductivity range. If it does not exceed the range, it returns to S100 to continue monitoring. If it exceeds the range, it executes the next step;

[0027] Specifically, the preset conductivity range is 100-500 μS / cm.

[0028] Step 4: The cloud platform triggers the early warning mechanism and pushes the early warning information to relevant personnel. At the same time, the location and data of the abnormal monitoring point are displayed on the Web platform.

[0029] Specifically, step 4 may include the following sub-steps:

[0030] 1) Dynamically adjust the warning threshold based on the data collected by the integrated sensor and environmental factors such as temperature and precipitation;

[0031] 2) Based on the correlation between the TDS value and conductivity of the water body, the TDS value is calculated by measuring the conductivity value based on the data of the comprehensive sensor as an auxiliary indicator for water quality evaluation;

[0032] 3) Determine the water quality of the water body based on the water quality index value calculated above.

[0033] Embodiment 2:

[0034] In this embodiment, a water body monitoring and early warning device based on the conductivity principle is disclosed. Figure 2 The structure diagram of the water body monitoring and early warning device of this embodiment is shown. It can be seen from the figure that the water body monitoring and early warning device of this embodiment includes the following modules:

[0035] Sensor module, transmission module, judgment module and early warning trigger module.

[0036] Among them, the sensor module is configured to demarcate monitoring points in the water body, install a comprehensive sensor at each monitoring point, and upload the collected data. The conductivity sensor is an electrode-type conductivity sensor with a detection accuracy of ±0.5%. The comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor. The temperature sensor, the humidity sensor and the conductivity sensor are coupled and connected to each other.

[0037] Specifically, the conductivity sensor in the integrated sensor can be processed by setting the first electrode and the second electrode of the electrode-type conductivity sensor and grounding them, forcing the potential of the first electrode upstream and the second electrode downstream to be set to 0, thereby reducing the impact on the measurement of the measuring electrode.

[0038] The transmission module is connected to the sensor module and is configured to transmit the collected comprehensive sensor data to the cloud platform via the LoRa wireless communication technology.

[0039] The determination module is connected to the sensor module and is configured to perform a range comparison between the received conductivity data and the preset conductivity range to determine whether the received conductivity data exceeds the preset conductivity range. If it does not exceed the range, it returns to the sensor module to continue monitoring. If it exceeds the range, it triggers the early warning trigger module.

[0040] The early warning trigger module is connected to the judgment module and is configured to trigger the early warning mechanism, push the early warning information to relevant personnel, and display the location and data of the abnormal monitoring point on the Web platform.

[0041] Embodiment 3:

[0042] In this embodiment, a specific implementation step of a water body monitoring and early warning method based on the conductivity principle is disclosed:

[0043] Step 1: In the water body near the outlet of the sewage treatment plant, multiple monitoring points are delineated and integrated sensors are installed at each monitoring point.

[0044] The comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor, which are coupled and connected to each other. The conductivity sensor adopts an electrode conductivity sensor with an accuracy of ±0.5% to measure the conductivity of the water body in real time.

[0045] Specifically, step 101, setting a first electrode and a second electrode and grounding them, setting the potential of the first electrode upstream to 0, and setting the potential of the second electrode downstream to 0, to minimize the impact on the measurement of the measuring electrode. The first electrode and the second electrode are made of stainless steel with a diameter of 5 mm.

[0046] Step 102: Use a temperature compensation mechanism to perform temperature compensation on the conductivity data according to the real-time monitored water temperature to improve the measurement accuracy. The temperature compensation coefficient is set to 2.1% / °C.

[0047] Step 103: Interference can also be eliminated and the accuracy of the measurement result can be ensured by optimizing the coupling design between the current amplifier and the measuring tube. The current amplifier adopts a shielded design and is connected to the measuring tube using a shielded cable.

[0048] Step 2: The sensor transmits the real-time collected conductivity data to the cloud platform through LoRa wireless communication technology. The operating frequency of the LoRa communication module is 915MHz, the transmission power is 20dBm, and the data transmission rate is 9.6kbps.

[0049] Step 3: The normal range of conductivity set in the cloud platform is 100-500 μS / cm. Determine whether the received conductivity data exceeds this range. If so, return to step 1 to continue monitoring. If not, execute step 4.

[0050] Step 4: The cloud platform triggers the early warning mechanism and pushes early warning information to relevant personnel via SMS and App. At the same time, the location and data of abnormal monitoring points are displayed on the Web platform.

[0051] Step 401, automatically adjust the warning threshold according to environmental factors such as temperature and precipitation. For example, when the temperature is above 25°C, temporarily increase the upper threshold to 550μS / cm; when it is raining, temporarily increase the upper threshold to 600μS / cm, so as to improve the accuracy and reliability of the warning.

[0052] Step 402: According to the relationship between TDS value and conductivity, TDS (mg / L) = 0.67 × EC (μS / cm), the TDS value is calculated by the measured conductivity value as an auxiliary indicator for water quality evaluation.

[0053] Step 403: According to the water quality index value calculated above, the effluent quality of the sewage treatment plant is judged, and the pollution prevention and emission reduction effect of the sewage treatment plant is judged in combination with other indicators such as the treatment capacity of each sewage treatment plant.

[0054] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A water body monitoring and early warning method based on the conductivity principle, characterized in that: The water body monitoring and early warning method comprises: S100, define monitoring points in the water body, install comprehensive sensors at each monitoring point, and upload the collected data. The conductivity sensor is an electrode conductivity sensor with a detection accuracy of ±0.5%. The comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor, and the temperature sensor, the humidity sensor and the conductivity sensor are coupled to each other; S200, transmits the comprehensive sensor data collected in real time to the cloud platform; S300, the cloud platform compares the received conductivity data with the preset conductivity range to determine whether the received conductivity data exceeds the preset conductivity range, if not, return to S100 to continue monitoring, if not, execute the next step; S400, the cloud platform triggers the early warning mechanism, pushes the early warning information to relevant personnel, and displays the location and data of the abnormal monitoring point on the Web platform.

2. The water body monitoring and early warning method based on the conductivity principle according to claim 1 is characterized in that: The step S100 includes the following sub-steps: S101, setting a first electrode and a second electrode of an electrode-type conductivity sensor and grounding the two electrodes, forcing the potential of the first electrode upstream and the potential of the second electrode downstream to be set to 0, thereby reducing the influence on the measurement of the measuring electrode; S102. Through the temperature compensation mechanism, the conductivity data is temperature compensated according to the real-time monitored water temperature, thereby improving the measurement accuracy.

3. The water body monitoring and early warning method based on the conductivity principle according to claim 1 is characterized in that: The comprehensive sensor data is transmitted to the cloud platform via LoRa wireless communication technology.

4. The water body monitoring and early warning method based on the conductivity principle according to claim 1 is characterized in that: The preset conductivity range is 100-500 μS / cm.

5. The water body monitoring and early warning method based on the conductivity principle according to claim 1 is characterized in that: The step S400 includes the following sub-steps: S401, dynamically adjusting the warning threshold according to the data collected by the integrated sensor and environmental factors such as temperature and precipitation; S402, according to the correlation between the TDS value and the conductivity of the water body, the TDS value is calculated by measuring the conductivity value according to the data of the comprehensive sensor as an auxiliary indicator for water quality evaluation; S403: Determine the water quality of the water body according to the water quality index value obtained by the above calculation.

6. A water body monitoring and early warning device based on the conductivity principle, characterized in that: The water body monitoring and early warning device comprises: Sensor module, transmission module, determination module and early warning trigger module, among which, The sensor module is configured to define monitoring points in the water body, install a comprehensive sensor at each monitoring point, and upload the collected data. The conductivity sensor is an electrode-type conductivity sensor with a detection accuracy of ±0.5%. The comprehensive sensor includes a temperature sensor, a humidity sensor and a conductivity sensor. The temperature sensor, the humidity sensor and the conductivity sensor are coupled and connected to each other. The transmission module is connected to the sensor module and is configured to transmit the collected comprehensive sensor data to the cloud platform via LoRa wireless communication technology; The determination module is connected to the sensor module and is configured to perform a range comparison between the received conductivity data and a preset conductivity range to determine whether the received conductivity data exceeds the preset conductivity range, and if not, return to the sensor module to continue monitoring; if not, trigger the early warning trigger module; The early warning trigger module is connected to the judgment module and is configured to trigger the early warning mechanism, push the early warning information to relevant personnel, and display the location and data of the abnormal monitoring point on the Web platform.

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