Steam pipe network drainage monitoring and diagnosing system based on Internet

Abstract

The invention relates to the field of detection, in particular to a steam pipe network drainage monitoring and diagnosis system based on the Internet, and the system is provided with a data collection module which is provided with a plurality of collection units. The data acquisition module is used for respectively acquiring pipe network operation pressure in the steam pipe network, water quality hardness of inlet water, pipe network operation temperature, a water flow image of a drainage port and a scale image of the drainage port, and the data diagnosis module is connected with the data acquisition module and is used for predicting the drainage probability of the steam pipe network according to the pipe network operation pressure and the pipe network operation temperature. The data diagnosis module is connected with the data acquisition module and the data diagnosis module to judge whether the steam pipe network needs drainage or not and judge whether a drainage port of the steam pipe network needing drainage is blocked or not, and the early warning adjustment module is connected with the data acquisition module and the data diagnosis module and used for responding to blockage of the drainage port and adjusting pressure in the steam pipe network to flush the drainage port. Or the opening size of the drainage valve is adjusted to adapt to the drainage flow velocity, and the drainage monitoring and diagnosis accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of detection, and in particular to an Internet-based steam pipe network drainage monitoring and diagnosis system. Background Art

[0002] During the daily operation of the steam network, condensate is generated due to the heat dissipation of the network. Then, it flows in the pipeline with high-temperature and high-pressure steam, and inevitably causes the "pipe collision" phenomenon, which greatly threatens the safe and stable operation of the steam network. For this reason, in actual operation, the steam network is equipped with an automatic drain device in the saturated section (considering the start-up of the steam network warm-up pipe, the steam network overheating section will also be equipped with an automatic drain device at the same time), so that when condensate is generated in the network, it can be automatically discharged at the first time.

[0003] China's patent application publication number: CN115325421A, discloses a steam trap fault detection device, which uses the magnetoelectric effect of a magnet ring to determine the position of the valve core, and combines a temperature sensor to determine the working state of the valve, and is composed of a magnet ring, a sensor mounting adjustment bracket and a sensor; the temperature sensor and the sensor are triggered at the same time, indicating that the valve is normally closed; the temperature sensor is triggered but the sensor is not triggered, indicating that the valve cannot be closed; the temperature sensor is not triggered but the sensor is triggered, indicating that the valve is not opened. The steam trap fault detection device described in the present invention can safely and effectively monitor the working state of each steam trap online in real time, can replace the work of patrol personnel, and at the same time supplement the valve faults that patrol personnel cannot find, which can not only timely discover the abnormal state of the steam trap to reduce energy consumption, but also ensure safe production.

[0004] In the prior art, there is no reasonable fault determination method for the automatic drain device, so that when the automatic drain device fails to automatically drain the water, it cannot be handled in time, resulting in reduced steam purity and reduced drain efficiency. Summary of the invention

[0005] To this end, the present invention provides an Internet-based steam pipe network drain monitoring and diagnosis system. In the prior art, there is no reasonable fault judgment method for the automatic drain device, so that when the automatic drain device fails to automatically drain the drain, it cannot be handled in time, resulting in reduced steam purity and reduced drain efficiency.

[0006] To achieve the above object, the present invention provides an Internet-based steam pipe network drain monitoring and diagnosis system, which includes:

[0007] A data acquisition module, which is provided with a plurality of acquisition units for respectively acquiring the network operation pressure, the water hardness of the inlet water, the network operation temperature, the water flow image of the drain port, and the scale image of the drain port in the steam network;

[0008] A data diagnosis module is connected to the data acquisition module, and predicts the probability of steam network drainage according to the network operating pressure and the network operating temperature to determine whether the steam network needs drainage, wherein:

[0009] If the steam pipe network needs to be drained, the data diagnosis module calculates the scale influence coefficient in the steam pipe network and determines whether the drain port is blocked;

[0010] An early warning adjustment module is connected to the data acquisition module and the data diagnosis module to respond to the blockage of the drain port, wherein:

[0011] If the drain port is clogged, an early warning is issued, the scale hardness is determined by the scale image of the drain port, and the drain port is flushed by adjusting the pressure in the steam pipe network;

[0012] If the drain port is not blocked, the drain flow rate is calculated and the opening size of the drain valve is adjusted to adapt to the drain flow rate.

[0013] Furthermore, the process of the data diagnosis module predicting the probability of steam network drainage includes:

[0014] Determine the ratio of the pressure in the steam network to the reference operating pressure as the pressure impact value;

[0015] Determine the ratio of the temperature in the steam network to the reference operating temperature as the temperature impact value;

[0016] The steam network drainage probability is related to the pressure influence value and the temperature influence value.

[0017] Furthermore, the data diagnosis module determines whether the steam pipe network needs to be drained, wherein:

[0018] If the steam pipe network drainage probability is greater than or equal to the reference drainage probability, it is determined that the steam pipe network needs drainage;

[0019] If the steam pipe network drainage probability is less than the reference drainage probability, it is determined that the steam pipe network does not need drainage, and the steam pipe network continues to be monitored;

[0020] Wherein, the baseline hydrophobicity probability is calculated based on previous data.

[0021] Furthermore, the data diagnosis module calculates the scale influence coefficient in the steam network.

[0022] Determine the thickness of scale in the steam network and the drain pressure;

[0023] The scale influence coefficient is related to the thickness and the hydrophobic pressure.

[0024] Furthermore, the data diagnosis module determines whether the drain port is blocked, wherein:

[0025] If the scale influence coefficient exceeds the reference scale influence coefficient threshold, it is determined that the drain port is blocked;

[0026] If the scale influence coefficient does not exceed the reference scale influence coefficient threshold, it is determined that the drain port is not blocked;

[0027] Wherein, the benchmark scale influence coefficient threshold is calculated based on previous data.

[0028] Furthermore, the process of the early warning adjustment module judging the scale hardness includes:

[0029] Determine a hydrophobic port scale image and divide the scale image into sub-scale images;

[0030] Determine the sub-scaling image exceeding the reference image threshold as the influencing scaling image;

[0031] Determine the distance difference between each scale particle in each scale-influencing image;

[0032] The scale hardness is related to the distance difference.

[0033] Furthermore, the early warning adjustment module adjusts the pressure in the steam network, wherein:

[0034] The pressure in the steam network is proportional to the hardness of the scale.

[0035] Furthermore, the process of calculating the drainage flow rate by the early warning adjustment module includes:

[0036] Determine the time to open the steam trap as the first time point;

[0037] Determine the opening size of the steam trap;

[0038] determining a drainage flow rate within a predetermined time after a first time point;

[0039] The drain flow rate is related to the opening size of the drain valve and the drain flow rate.

[0040] Furthermore, the early warning adjustment module adjusts the opening size of the steam trap valve, wherein

[0041] The drain flow rate is positively correlated with the opening size of the adjusted drain valve.

[0042] Furthermore, it also includes a display module, which is connected to the data diagnosis module and the early warning module to display various data and early warning conditions in the steam pipeline network.

[0043] Compared with the prior art, a data acquisition module is provided, which is provided with a plurality of acquisition units for respectively collecting the network operating pressure, the water hardness of the inlet water, the network operating temperature, the water flow image of the drain outlet and the scale image of the drain outlet in the steam network; a data diagnosis module is connected to the data acquisition module, and predicts the drain probability of the steam network according to the network operating pressure and the network operating temperature to determine whether the steam network needs to be drained, and determines whether the steam network drain outlet that needs to be drained is blocked; an early warning adjustment module is connected to the data acquisition module and the data diagnosis module, and is used to respond to the blockage of the drain outlet, adjust the pressure in the steam network to flush the drain outlet, or adjust the opening size of the drain valve to adapt to the drain flow rate, thereby improving the accuracy of drain monitoring and diagnosis.

[0044] In particular, the present invention predicts the probability of draining to determine whether the steam network needs draining so as to open the drain valve in time. When the steam network is running, the steam should maintain a high degree of dryness to ensure that the moisture content in the steam is as low as possible. Therefore, the content of condensed water should be reduced. In actual operation, the drain valve will not be opened until a certain amount of condensed water is generated, which will result in a higher moisture content in the steam. In order to make the steam purer, based on this, the present invention predicts the probability of draining the steam network in advance through real-time monitoring of the pressure and temperature in the steam network. When the probability of draining reaches a certain number, the drain valve is opened in time for draining, thereby reducing the moisture content in the steam and improving the drain efficiency.

[0045] In particular, the present invention calculates the scale influence coefficient to determine whether the drain outlet is blocked. In the actual operation of the steam pipe network, especially in the biochemical industry, medical and pharmaceutical industry, food processing industry, etc., steam is used as a heat source or part of the process flow. Therefore, it is particularly important to drain the steam pipe network. Factors such as excessively high water hardness and lack of effective water treatment measures will lead to the generation of scale. Excessive scale will affect the drainage process and even block the drain outlet and make it impossible to drain. Based on this, the present invention calculates the scale influence coefficient for situations where drainage is required, adjusts the drain valve for the unblocked drain outlet according to the actual situation to adapt to the drainage flow rate, and takes timely measures for the blocked drain outlet so that the drain outlet can drain quickly, thereby ensuring the patency of the drainage, reducing the moisture content in the steam, and improving the drainage efficiency.

[0046] In particular, the present invention determines the hardness of scale at the clogged drain port and adjusts the pressure in the steam network to destroy the scale, thereby ensuring that the drain work is completed normally; for the drain port where the scale cannot be eliminated even after adjusting the operating pressure in the steam network, the filter of the drain valve can be removed, thereby ensuring the unobstructed drainage, reducing the moisture content in the steam, and improving the drainage efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of the structure of an Internet-based steam pipe network drain monitoring and diagnosis system according to an embodiment of the invention;

[0048] Figure 2 A logic block diagram for determining whether the steam pipe network needs to be drained according to an embodiment of the invention;

[0049] Figure 3 The figure is a logic block diagram for determining whether a drain outlet is blocked according to an embodiment of the invention. DETAILED DESCRIPTION

[0050] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0052] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] See also Figure 1-Figure 3 As shown, Figure 1 The following is a schematic diagram of a steam pipe network drain monitoring and diagnosis system based on the Internet according to an embodiment of the invention. Figure 2 This is a logic block diagram for determining whether the steam pipe network needs to be drained according to an embodiment of the invention. Figure 3 The logic block diagram of the embodiment of the invention for determining whether the drain outlet is blocked is shown in FIG. 1 . The internet-based steam pipe network drain monitoring and diagnosis system of the invention includes:

[0054] A data acquisition module, which is provided with a plurality of acquisition units for respectively acquiring the network operation pressure, the water hardness of the inlet water, the network operation temperature, the water flow image of the drain port, and the scale image of the drain port in the steam network;

[0055] A data diagnosis module is connected to the data acquisition module, and predicts the probability of steam network drainage according to the network operating pressure and the network operating temperature to determine whether the steam network needs drainage, wherein:

[0056] If the steam pipe network needs to be drained, the data diagnosis module calculates the scale influence coefficient in the steam pipe network and determines whether the drain port is blocked;

[0057] An early warning adjustment module is connected to the data acquisition module and the data diagnosis module to respond to the blockage of the drain port, wherein:

[0058] If the drain port is clogged, an early warning is issued, the scale hardness is determined by the scale image of the drain port, and the drain port is flushed by adjusting the pressure in the steam pipe network;

[0059] If the drain port is not blocked, the drain flow rate is calculated and the opening size of the drain valve is adjusted to adapt to the drain flow rate.

[0060] Specifically, there is no limitation on the form of collecting the operating pressure of the pipeline network. For example, it can be a pressure sensor or a predetermined pressure. It only needs to collect pressure data. Those skilled in the art can collect the data based on actual conditions. This is existing technology and will not be elaborated on.

[0061] Specifically, if it is a pressure sensor, there is no limit on the placement of the pressure sensor. It can be the water adding position of the steam network or the middle position of the steam network. The collected pressure should be a stable value. For example, when the steam network is pressurized, sudden pressure fluctuations are not taken into account.

[0062] Specifically, there is no limitation on the form of collecting the water hardness of the incoming water. For example, the water hardness can be collected before the water is passed through the steam network. It is sufficient to obtain the water hardness data. Technical personnel in this field can choose the form of collecting water hardness according to actual conditions. This is a prior art and will not be elaborated on.

[0063] Specifically, there is no limitation on the form of collecting the operating temperature of the pipeline network. For example, the temperature data can be determined before heating the steam pipeline network, or it can be collected by setting up a temperature sensor. It is only necessary to obtain the temperature data. Those skilled in the art can make a choice based on the actual situation. This is a prior art and will not be elaborated on.

[0064] Specifically, there is no limitation on the acquisition form of the water flow image and the scale image of the drain outlet. For example, it can be X-ray, as long as the shape of each component in the steam pipe network can be obtained. Those skilled in the art can make a choice based on actual conditions. This is existing technology and will not be elaborated on.

[0065] It is understandable that in addition to scale, there are other impurities that will affect the hydrophobicity of the drain port, but the probability of other impurities affecting the drain port is not as high as that of scale. Therefore, only considering the impact of scale on the drain port can ensure the normal operation of the drain port.

[0066] Specifically, the process of predicting the probability of steam network drainage by the data diagnosis module includes:

[0067] Determine the ratio of the pressure in the steam network to the reference operating pressure as the pressure impact value;

[0068] Determine the ratio of the temperature in the steam network to the reference operating temperature as the temperature impact value;

[0069] The steam network drainage probability is related to the pressure influence value and the temperature influence value.

[0070] Specifically, the pressure influence value and the temperature influence value are weighted respectively, and the weighted sum is calculated, and the weighted sum is the steam network drainage probability.

[0071] Specifically, the reference operating pressure is determined based on past data and is selected within the range [0.4MPa, 4.0MPa].

[0072] Specifically, the reference operating temperature is determined based on past data and is selected within the range of [190°C, 430°C].

[0073] Specifically, the sum of the pressure influence value weight and the temperature influence value weight is 1.

[0074] Specifically, the present invention predicts the probability of draining to determine whether the steam network needs draining so as to open the drain valve in time. When the steam network is running, the steam should maintain a high degree of dryness to ensure that the moisture content in the steam is as low as possible. Therefore, the content of condensed water should be reduced. In actual operation, the drain valve will not be opened until a certain amount of condensed water is generated, which will result in a higher moisture content in the steam. In order to make the steam purer, based on this, the present invention predicts the probability of draining the steam network in advance through real-time monitoring of the pressure and temperature in the steam network. When the probability of draining reaches a certain number, the drain valve is opened in time for draining, thereby reducing the moisture content in the steam and improving the drain efficiency.

[0075] Specifically, the data diagnosis module determines whether the steam pipe network needs to be drained, wherein:

[0076] If the steam pipe network drainage probability is greater than or equal to the reference drainage probability, it is determined that the steam pipe network needs drainage;

[0077] If the steam pipe network drainage probability is less than the reference drainage probability, it is determined that the steam pipe network does not need drainage, and the steam pipe network continues to be monitored;

[0078] Wherein, the baseline hydrophobicity probability is calculated based on previous data.

[0079] Specifically, the baseline hydrophobicity probability is selected within the interval [0.82, 0.95].

[0080] It is understandable that as long as the steam network is in operation, drainage work must be carried out. If it is determined that the steam network does not need drainage, the steam network needs to be monitored until the steam network drainage probability is greater than or equal to the baseline drainage probability, and then drainage begins to ensure the purity and drainage efficiency of the steam.

[0081] Specifically, the data diagnosis module calculates the scale influence coefficient in the steam network.

[0082] Determine the thickness of scale in the steam network and the drain pressure;

[0083] The scale influence coefficient is related to the thickness and the hydrophobic pressure.

[0084] Specifically, the thickness and the hydrophobic pressure are weighted respectively and the weighted sum is calculated, and the weighted sum is the scale influence coefficient.

[0085] Specifically, the sum of the weight of thickness and the weight of hydrophobic pressure is 1.

[0086] Specifically, the present invention calculates the scale influence coefficient to determine whether the drain outlet is blocked. In the actual operation of the steam pipe network, especially in the biochemical industry, medical and pharmaceutical industry, food processing industry, etc., steam is used as a heat source or part of the process flow. Therefore, it is particularly important to drain the steam pipe network. Factors such as excessively high water hardness and lack of effective water treatment measures will lead to the generation of scale. Excessive scale will affect the drainage process and even block the drain outlet and make it impossible to drain. Based on this, the present invention calculates the scale influence coefficient for situations where drainage is required, adjusts the drain valve for the unblocked drain outlet according to the actual situation to adapt to the drainage flow rate, and takes timely measures for the blocked drain outlet so that the drain outlet can drain quickly, thereby ensuring the patency of the drainage, reducing the moisture content in the steam, and improving the drainage efficiency.

[0087] Specifically, the data diagnosis module determines whether the drain port is blocked, wherein:

[0088] If the scale influence coefficient exceeds the reference scale influence coefficient threshold, it is determined that the drain port is blocked;

[0089] If the scale influence coefficient does not exceed the reference scale influence coefficient threshold, it is determined that the drain port is not blocked;

[0090] Wherein, the benchmark scale influence coefficient threshold is calculated based on previous data.

[0091] Specifically, the benchmark scale influence coefficient threshold is selected within the interval [0.65, 0.97].

[0092] Specifically, the process of the early warning adjustment module to judge the scale hardness includes:

[0093] Determine a hydrophobic port scale image and divide the scale image into sub-scale images;

[0094] Determine the sub-scaling image exceeding the reference image threshold as the influencing scaling image;

[0095] Determine the distance difference between each scale particle in each scale-influencing image;

[0096] The scale hardness is related to the distance difference.

[0097] Specifically, the average value of the ratio of the distance difference to the reference distance difference is determined as the scale hardness of each scale-affecting image, and the average value of the scale hardness of each sub-scale image is determined as the scale hardness.

[0098] It is understandable that there may be many pieces of scale at the drain port, but only scale exceeding a certain range will affect the drain, so the reference image threshold is calculated to determine the size of scale that can affect the drain.

[0099] Specifically, the mesh radius of the filter screen of the drain port is r, the inner diameter of the drain port is R, and the reference image threshold is in the interval [0.95πr 2 ,πR 2 ] to select.

[0100] Specifically, the present invention determines the hardness of scale at the clogged drain port and adjusts the pressure in the steam network to destroy the scale, thereby ensuring that the drain work is completed normally. For the drain port where the scale cannot be eliminated even after adjusting the operating pressure in the steam network, the filter screen of the drain valve can be removed, thereby ensuring the unobstructed drainage, reducing the moisture content in the steam, and improving the drainage efficiency.

[0101] Specifically, the early warning regulation module regulates the pressure in the steam network, where:

[0102] The pressure in the steam network is proportional to the hardness of the scale.

[0103] It is understandable that an increase in the pressure in the steam network will lead to a more complete reaction and an increase in scale hardness.

[0104] Specifically, the process of calculating the drainage flow rate by the early warning adjustment module includes:

[0105] Determine the time to open the steam trap as the first time point;

[0106] Determine the opening size of the steam trap;

[0107] determining a drainage flow rate within a predetermined time after a first time point;

[0108] The drain flow rate is related to the opening size of the drain valve and the drain flow rate.

[0109] Specifically, the ratio of the drain flow rate to the predetermined time is determined as the drain flow rate;

[0110] Specifically, the predetermined time is selected within the interval [1s, 6s]. Those skilled in the art may select the number of seconds according to actual conditions, as long as the calculation of the hydrophobic flow rate is accurate, which will not be elaborated herein.

[0111] It is understandable that by determining the hydrophobic length and opening size, the hydrophobic flow rate can be calculated. This is an existing calculation method and will not be described in detail.

[0112] Specifically, the early warning adjustment module adjusts the opening size of the steam trap valve, wherein

[0113] The drain flow rate is positively correlated with the opening size of the adjusted drain valve.

[0114] It is understandable that the greater the drain flow rate, the more condensate needs to flow out. At this time, the drain valve opening needs to be increased to improve the drain efficiency.

[0115] Specifically, it also includes a display module, which is connected to the data diagnosis module and the early warning module to display various data and early warning conditions in the steam pipe network.

[0116] Specifically, the display module includes a display, and the type of the display is not limited, and it can be a liquid crystal display screen and a touch screen. Those skilled in the art can choose according to actual conditions, which will not be described in detail.

[0117] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An Internet-based steam pipe network drainage monitoring and diagnosis system, characterized in that: include: A data acquisition module, which is provided with a plurality of acquisition units for respectively acquiring the network operation pressure, the water hardness of the inlet water, the network operation temperature, the water flow image of the drain port, and the scale image of the drain port in the steam network; A data diagnosis module is connected to the data acquisition module, and predicts the probability of steam network drainage according to the network operating pressure and the network operating temperature to determine whether the steam network needs drainage, wherein: If the steam pipe network needs to be drained, the data diagnosis module calculates the scale influence coefficient in the steam pipe network and determines whether the drain port is blocked; An early warning adjustment module is connected to the data acquisition module and the data diagnosis module to respond to the blockage of the drain port, wherein: If the drain port is clogged, an early warning is issued, the scale hardness is determined by the scale image of the drain port, and the drain port is flushed by adjusting the pressure in the steam pipe network; If the drain port is not blocked, the drain flow rate is calculated and the opening size of the drain valve is adjusted to adapt to the drain flow rate.

2. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1 is characterized in that: The process of predicting the probability of steam network drainage by the data diagnosis module includes: Determine the ratio of the pressure in the steam network to the reference operating pressure as the pressure impact value; Determine the ratio of the temperature in the steam network to the reference operating temperature as the temperature impact value; The steam network drainage probability is related to the pressure influence value and the temperature influence value.

3. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1 is characterized in that: The data diagnosis module determines whether the steam pipe network needs to be drained, wherein: If the steam pipe network drainage probability is greater than or equal to the reference drainage probability, it is determined that the steam pipe network needs drainage; If the steam pipe network drainage probability is less than the reference drainage probability, it is determined that the steam pipe network does not need drainage, and the steam pipe network continues to be monitored; Wherein, the baseline hydrophobicity probability is calculated based on previous data.

4. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1, characterized in that: The data diagnosis module calculates the scale influence coefficient in the steam network. Determine the thickness of scale and drain pressure in the steam network; The scale influence coefficient is related to the thickness and the hydrophobic pressure.

5. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1, characterized in that: The data diagnosis module determines whether the drain port is blocked, wherein: If the scale influence coefficient exceeds the reference scale influence coefficient threshold, it is determined that the drain port is blocked; If the scale influence coefficient does not exceed the reference scale influence coefficient threshold, it is determined that the drain port is not blocked; Wherein, the benchmark scale influence coefficient threshold is calculated based on previous data.

6. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1 is characterized in that: The process of the early warning adjustment module judging the scale hardness includes: Determine a hydrophobic port scale image and divide the scale image into sub-scale images; Determine the sub-scaling image exceeding the reference image threshold as the influencing scaling image; Determine the distance difference between each scale particle in each scale-influencing image; The scale hardness is related to the distance difference.

7. The Internet-based steam pipe network drainage monitoring and diagnosis system according to claim 1, characterized in that: The early warning adjustment module adjusts the pressure in the steam network, wherein: The pressure in the steam network is proportional to the hardness of the scale.

8. The Internet-based steam pipe network drain monitoring and diagnosis system according to claim 1, characterized in that: The process of calculating the drainage flow rate by the early warning adjustment module includes: Determine the time to open the steam trap as the first time point; Determine the opening size of the steam trap; determining a drainage flow rate within a predetermined time after a first time point; The drain flow rate is related to the opening size of the drain valve and the drain flow rate.

9. The Internet-based steam pipe network drain monitoring and diagnosis system according to claim 1, characterized in that: The early warning adjustment module adjusts the opening size of the steam trap valve, wherein The drain flow rate is positively correlated with the opening size of the adjusted drain valve.

10. The Internet-based steam pipe network drain monitoring and diagnosis system according to claim 1, characterized in that: It also includes a display module, which is connected to the data diagnosis module and the early warning module to display various data and early warning conditions in the steam pipe network.

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