A multi-pipeline condensate water delivery system and method

CN117537276BActive Publication Date: 2026-09-18HUANENG POWER INT CO LTD RIZHAO POWER PLANT
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Patent Information

Application Number
CN202311373210.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-20
Publication Date
2026-09-18
Estimated Expiration
2043-10-20

AI Technical Summary

Technical Problem

[0005]本发明实施例提供一种多管道凝结水输送系统及方法,用以解决现有技术中无法对凝结水进行有效输送,无法避免闪蒸汽外排,造成浪费的技术问题

Benefits of technology

[0061]This invention discloses a multi-pipeline condensate transport system and method, comprising: a monitoring module, a judgment module, a cooling module, and a transport module. The monitoring module deploys temperature monitoring points in all transport pipelines and monitors the temperature of the condensate in the pipelines, obtaining multiple temperature monitoring values. The judgment module determines whether there is a temperature anomaly in the condensate in the transport pipelines based on the obtained temperature monitoring values. The cooling module acquires the temperature monitoring values ​​of all transport pipelines carrying transport identifiers and cools the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate. The transport module transports the cooled condensate using condensate pumps in the transport pipelines. This invention, by cooling the condensate, prevents flash steam from being generated during condensate transport, ensuring normal condensate transport and avoiding the waste of flash steam discharge.

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Abstract

This invention relates to the field of water treatment technology and discloses a multi-pipeline condensate transport system and method, comprising: a monitoring module, a judgment module, a cooling module, and a transport module. The monitoring module deploys temperature monitoring points in all transport pipelines and monitors the temperature of the condensate in the pipelines, obtaining multiple temperature monitoring values. The judgment module determines whether there is a temperature anomaly in the condensate in the transport pipelines based on the obtained temperature monitoring values. The cooling module acquires the temperature monitoring values ​​of all transport pipelines carrying transport identifiers and cools the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate. The transport module transports the cooled condensate using condensate pumps in the transport pipelines. This invention, by cooling the condensate, prevents flash steam from being generated during condensate transport, ensuring normal condensate transport and avoiding the waste of flash steam discharge.
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Description

Technical Field

[0001] This invention relates to the field of water treatment technology, and in particular to a multi-pipe condensate transport system and method. Background Technology

[0002] Condensate is formed during the production process. In production operations, steam, as an extremely versatile energy source, is inextricably linked to almost all enterprises. Large amounts of industrial water and energy, primarily coal, are used to generate steam. The heat of the steam is then used to realize industrial production processes, and condensate is generated when the steam releases some of its heat energy.

[0003] In existing technologies, electric centrifugal pumps are used to transport and recover condensate. However, due to the structural and operational requirements of these pumps, they cannot pressurize the flash vapor generated in the collection tank, forcing it to be released into the atmosphere, resulting in waste. Furthermore, as condensate flows from the impeller center to the outer edge, a vacuum is created at the impeller center. This causes flash vapor to form within the pump. This flash vapor can cause cavitation on internal pump components, damaging the pump. Therefore, current methods of condensate transport and recovery have limitations: high cost, inconvenience, and a tendency to waste condensate.

[0004] Therefore, how to provide a system and method for effectively transporting condensate from multiple pipelines is a technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a multi-pipeline condensate transport system and method to solve the technical problems in the prior art that the condensate cannot be effectively transported and flash steam discharge cannot be avoided, resulting in waste.

[0006] To achieve the above objectives, the present invention provides a multi-pipe condensate delivery system, the system comprising:

[0007] The monitoring module is used to deploy temperature monitoring points in all the delivery pipelines, and to monitor the temperature of the condensate in the delivery pipelines based on the deployed temperature monitoring points, and obtain multiple temperature monitoring values.

[0008] The judgment module is used to determine whether there is a temperature abnormality in the condensate in the conveying pipeline based on the obtained temperature monitoring value, and to generate an abnormality mark for the conveying pipeline with temperature abnormality, and to generate a conveying mark for the conveying pipeline without temperature abnormality.

[0009] The cooling module is used to acquire the temperature monitoring values ​​of all conveying pipelines carrying conveying identification marks, and to cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooling condensate.

[0010] The delivery module is used to deliver cooling condensate via a condensate pump in the delivery pipeline.

[0011] In one embodiment, the monitoring module is specifically used for:

[0012] The monitoring module is used to acquire data parameters of the delivery pipeline and determine the initial temperature monitoring point based on the data parameters;

[0013] The monitoring module is used to acquire historical data parameters of the pipeline and the corresponding historical temperature monitoring points.

[0014] The monitoring module is used to predict and transform the data parameters of the delivery pipeline based on the correlation between the historical data parameters and the historical temperature monitoring points, so as to obtain the predicted temperature monitoring points.

[0015] The monitoring module is used to compare the initial temperature monitoring point with the predicted temperature monitoring point;

[0016] The monitoring module is used to determine that the initial temperature monitoring point is a temperature monitoring point in the delivery pipeline if the error value of the comparison result is less than a preset value.

[0017] The monitoring module is used to adjust the initial temperature monitoring point based on the predicted temperature monitoring point if the error value of the comparison result is greater than or equal to the preset value, and to obtain the temperature monitoring point of the conveying pipeline based on the adjustment result.

[0018] In one embodiment, the determining module is specifically used for:

[0019] The judgment module is used to obtain the preset temperature monitoring range of the delivery pipeline based on preset conditions;

[0020] The judgment module is used to determine whether there is an abnormal temperature in the condensate in the delivery pipeline based on the temperature monitoring value and the preset temperature monitoring range.

[0021] The judgment module is used to determine that there is no temperature abnormality in the condensate in the delivery pipeline if the temperature monitoring value is within the preset temperature monitoring range.

[0022] The judgment module is used to determine that the condensate in the delivery pipeline has an abnormal temperature if the temperature monitoring value is not within the preset temperature monitoring range.

[0023] In one embodiment, the cooling module is specifically used for:

[0024] The cooling module is used to sort all temperature monitoring values ​​by numerical value and generate a temperature monitoring set based on the sorting result. The head data of the temperature monitoring set is the largest temperature monitoring value, and the tail data of the temperature monitoring set is the smallest temperature monitoring value.

[0025] The cooling module is used to extract the first four temperature monitoring data from the temperature monitoring set and calculate the average temperature.

[0026] The cooling module is used to set the operating power of the cooling device according to the average temperature, and to cool the condensate based on the cooling device.

[0027] In one embodiment, the cooling module is specifically used for:

[0028] The cooling module is used to preset a first preset temperature average value and a second preset temperature average value;

[0029] The cooling module is used to set the operating power of the cooling device according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature.

[0030] The cooling module is used to set the operating power of the cooling device to ΔP1 when the average temperature is less than the first preset average temperature.

[0031] The cooling module is used to set the operating power of the cooling device to ΔP2 when the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature.

[0032] The cooling module is used to set the operating power of the cooling device to ΔP3 when the average temperature is greater than or equal to the second preset average temperature.

[0033] To achieve the above objectives, the present invention provides a multi-pipe condensate transportation method, the method comprising:

[0034] Temperature monitoring points are deployed in all the delivery pipelines. Based on the deployed temperature monitoring points, the temperature of the condensate in the delivery pipelines is monitored to obtain multiple temperature monitoring values.

[0035] Based on the obtained temperature monitoring values, determine whether there is an abnormal temperature in the condensate in the delivery pipeline, and generate an abnormality mark for the delivery pipeline with an abnormal temperature, and generate a delivery mark for the delivery pipeline without an abnormal temperature.

[0036] Obtain the temperature monitoring values ​​of all conveying pipelines carrying conveying identification, and cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooling condensate.

[0037] Cooling condensate is transported by a condensate pump in the delivery pipeline.

[0038] In one embodiment, deploying temperature monitoring points in all delivery pipelines includes:

[0039] Acquire the data parameters of the delivery pipeline, and determine the initial temperature monitoring point based on the data parameters;

[0040] Obtain historical data parameters of the pipeline and the corresponding historical temperature monitoring points;

[0041] Based on the correlation between the historical data parameters and the historical temperature monitoring points, the data parameters of the transport pipeline are predicted and transformed to obtain the predicted temperature monitoring points.

[0042] Compare the initial temperature monitoring point with the predicted temperature monitoring point;

[0043] If the error value of the comparison result is less than the preset value, then the initial temperature monitoring point is determined to be the temperature monitoring point in the delivery pipeline;

[0044] If the error value of the comparison result is greater than or equal to the preset value, the initial temperature monitoring point is adjusted based on the predicted temperature monitoring point, and the temperature monitoring point of the conveying pipeline is obtained based on the adjustment result.

[0045] In one embodiment, determining whether there is a temperature anomaly in the condensate in the delivery pipeline based on the obtained temperature monitoring value includes:

[0046] The preset temperature monitoring range of the delivery pipeline is obtained based on preset conditions;

[0047] Based on the temperature monitoring values ​​and the preset temperature monitoring range, determine whether there is an abnormal temperature in the condensate in the delivery pipeline.

[0048] If the temperature monitoring value is within the preset temperature monitoring range, it is determined that there is no temperature abnormality in the condensate in the delivery pipeline;

[0049] If the temperature monitoring value is not within the preset temperature monitoring range, it is determined that the condensate in the delivery pipeline has an abnormal temperature.

[0050] In one embodiment, when acquiring the temperature monitoring values ​​of all conveying pipelines carrying conveying identifiers, and cooling the condensate according to the corresponding temperature monitoring values, the process includes:

[0051] All temperature monitoring values ​​are sorted by numerical value, and a temperature monitoring set is generated based on the sorting result. The first data in the temperature monitoring set is the largest temperature monitoring value, and the last data in the temperature monitoring set is the smallest temperature monitoring value.

[0052] Extract the first four temperature monitoring data points from the temperature monitoring set and calculate the average temperature.

[0053] The operating power of the cooling device is set according to the average temperature, and the condensate is cooled based on the cooling device.

[0054] In one embodiment, setting the operating power of the cooling device based on the average temperature includes:

[0055] Preset the first preset temperature average value and the second preset temperature average value;

[0056] The operating power of the cooling device is set according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature.

[0057] When the average temperature is less than the first preset average temperature, the working power of the cooling device is set to ΔP1.

[0058] When the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature, the working power of the cooling device is set to ΔP2.

[0059] When the average temperature is greater than or equal to the second preset average temperature, the operating power of the cooling device is set to ΔP3.

[0060] This invention provides a multi-pipe condensate delivery system and method, which has the following advantages compared to the prior art:

[0061] This invention discloses a multi-pipeline condensate transport system and method, comprising: a monitoring module, a judgment module, a cooling module, and a transport module. The monitoring module deploys temperature monitoring points in all transport pipelines and monitors the temperature of the condensate in the pipelines, obtaining multiple temperature monitoring values. The judgment module determines whether there is a temperature anomaly in the condensate in the transport pipelines based on the obtained temperature monitoring values. The cooling module acquires the temperature monitoring values ​​of all transport pipelines carrying transport identifiers and cools the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate. The transport module transports the cooled condensate using condensate pumps in the transport pipelines. This invention, by cooling the condensate, prevents flash steam from being generated during condensate transport, ensuring normal condensate transport and avoiding the waste of flash steam discharge. Attached Figure Description

[0062] Figure 1 A schematic diagram of a multi-pipe condensate delivery system according to an embodiment of the present invention is shown;

[0063] Figure 2 A schematic flowchart of a multi-pipe condensate transportation method according to an embodiment of the present invention is shown. Detailed Implementation

[0064] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0065] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0066] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0067] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0068] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0069] like Figure 1 As shown, an embodiment of the present invention discloses a multi-pipe condensate delivery system, the system comprising: a monitoring module, a judgment module, a cooling module, and a delivery module.

[0070] It should be understood that the monitoring module is used to deploy temperature monitoring points in all delivery pipelines and monitor the temperature of the condensate in the delivery pipelines to obtain multiple temperature monitoring values; the judgment module is used to determine whether there is a temperature anomaly in the condensate in the delivery pipelines based on the obtained temperature monitoring values; the cooling module is used to obtain the temperature monitoring values ​​of all delivery pipelines carrying delivery tags and cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate; and the delivery module is used to deliver the cooled condensate based on the condensate pump in the delivery pipelines.

[0071] The beneficial effects of the above-mentioned technical features are: by cooling the condensate, the present invention prevents flash steam from being generated during the condensate transportation process, which can ensure the normal transportation of condensate and avoid the waste of flash steam discharge.

[0072] In some embodiments of this application, the monitoring module is specifically used for:

[0073] The monitoring module is used to acquire data parameters of the delivery pipeline and determine the initial temperature monitoring point based on the data parameters;

[0074] The monitoring module is used to acquire historical data parameters of the pipeline and the corresponding historical temperature monitoring points.

[0075] The monitoring module is used to predict and transform the data parameters of the delivery pipeline based on the correlation between the historical data parameters and the historical temperature monitoring points, so as to obtain the predicted temperature monitoring points.

[0076] The monitoring module is used to compare the initial temperature monitoring point with the predicted temperature monitoring point;

[0077] The monitoring module is used to determine that the initial temperature monitoring point is a temperature monitoring point in the delivery pipeline if the error value of the comparison result is less than a preset value.

[0078] The monitoring module is used to adjust the initial temperature monitoring point based on the predicted temperature monitoring point if the error value of the comparison result is greater than or equal to the preset value, and to obtain the temperature monitoring point of the conveying pipeline based on the adjustment result.

[0079] In this embodiment, the number of temperature monitoring points can be deployed according to the length or area of ​​the delivery pipeline, etc.

[0080] The beneficial effects of the above technical solution are: the present invention deploys temperature monitoring points based on the error value of the comparison results, which can improve the accuracy of temperature monitoring and avoid large deviations.

[0081] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0082] In some embodiments of this application, the determination module is specifically used for:

[0083] The judgment module is used to obtain the preset temperature monitoring range of the delivery pipeline based on preset conditions;

[0084] The judgment module is used to determine whether there is an abnormal temperature in the condensate in the delivery pipeline based on the temperature monitoring value and the preset temperature monitoring range.

[0085] The judgment module is used to determine that there is no temperature abnormality in the condensate in the delivery pipeline if the temperature monitoring value is within the preset temperature monitoring range.

[0086] The judgment module is used to determine that the condensate in the delivery pipeline has an abnormal temperature if the temperature monitoring value is not within the preset temperature monitoring range.

[0087] The beneficial effects of the above technical solution are: the present invention determines whether there is a temperature abnormality in the condensate in the conveying pipeline based on the temperature monitoring value and the preset temperature monitoring range, providing reliable data support for the cooling of condensate and ensuring the normal conveying of condensate.

[0088] In some embodiments of this application, the cooling module is specifically used for:

[0089] The cooling module is used to sort all temperature monitoring values ​​by numerical value and generate a temperature monitoring set based on the sorting result. The head data of the temperature monitoring set is the largest temperature monitoring value, and the tail data of the temperature monitoring set is the smallest temperature monitoring value.

[0090] The cooling module is used to extract the first four temperature monitoring data from the temperature monitoring set and calculate the average temperature.

[0091] The cooling module is used to set the operating power of the cooling device according to the average temperature, and to cool the condensate based on the cooling device.

[0092] In some embodiments of this application, the cooling module is specifically used for:

[0093] The cooling module is used to preset a first preset temperature average value and a second preset temperature average value;

[0094] The cooling module is used to set the operating power of the cooling device according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature.

[0095] The cooling module is used to set the operating power of the cooling device to ΔP1 when the average temperature is less than the first preset average temperature.

[0096] The cooling module is used to set the operating power of the cooling device to ΔP2 when the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature.

[0097] The cooling module is used to set the operating power of the cooling device to ΔP3 when the average temperature is greater than or equal to the second preset average temperature.

[0098] The beneficial effects of the above technical solution are: the present invention sets the working power of the cooling device according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature, thereby achieving the cooling of condensate, so that flash steam cannot be generated during the condensate transportation process, which can not only ensure the normal transportation of condensate, but also avoid the waste of flash steam discharge.

[0099] Correspondingly, such as Figure 2 As shown, this application also provides a method for transporting condensate through multiple pipelines, the method comprising:

[0100] Temperature monitoring points are deployed in all the delivery pipelines. Based on the deployed temperature monitoring points, the temperature of the condensate in the delivery pipelines is monitored to obtain multiple temperature monitoring values.

[0101] Based on the obtained temperature monitoring values, determine whether there is an abnormal temperature in the condensate in the delivery pipeline, and generate an abnormality mark for the delivery pipeline with an abnormal temperature, and generate a delivery mark for the delivery pipeline without an abnormal temperature.

[0102] Obtain the temperature monitoring values ​​of all conveying pipelines carrying conveying identification, and cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooling condensate.

[0103] Cooling condensate is transported by a condensate pump in the delivery pipeline.

[0104] In some embodiments of this application, deploying temperature monitoring points in all delivery pipelines includes:

[0105] Acquire the data parameters of the delivery pipeline, and determine the initial temperature monitoring point based on the data parameters;

[0106] Obtain historical data parameters of the pipeline and the corresponding historical temperature monitoring points;

[0107] Based on the correlation between the historical data parameters and the historical temperature monitoring points, the data parameters of the transport pipeline are predicted and transformed to obtain the predicted temperature monitoring points.

[0108] Compare the initial temperature monitoring point with the predicted temperature monitoring point;

[0109] If the error value of the comparison result is less than the preset value, then the initial temperature monitoring point is determined to be the temperature monitoring point in the delivery pipeline;

[0110] If the error value of the comparison result is greater than or equal to the preset value, the initial temperature monitoring point is adjusted based on the predicted temperature monitoring point, and the temperature monitoring point of the conveying pipeline is obtained based on the adjustment result.

[0111] In some embodiments of this application, determining whether there is a temperature anomaly in the condensate in the delivery pipeline based on the obtained temperature monitoring value includes:

[0112] The preset temperature monitoring range of the delivery pipeline is obtained based on preset conditions;

[0113] Based on the temperature monitoring values ​​and the preset temperature monitoring range, determine whether there is an abnormal temperature in the condensate in the delivery pipeline.

[0114] If the temperature monitoring value is within the preset temperature monitoring range, it is determined that there is no temperature abnormality in the condensate in the delivery pipeline;

[0115] If the temperature monitoring value is not within the preset temperature monitoring range, it is determined that the condensate in the delivery pipeline has an abnormal temperature.

[0116] In some embodiments of this application, when obtaining temperature monitoring values ​​of all conveying pipelines carrying conveying identifiers and cooling the condensate according to the corresponding temperature monitoring values, the process includes:

[0117] All temperature monitoring values ​​are sorted by numerical value, and a temperature monitoring set is generated based on the sorting result. The first data in the temperature monitoring set is the largest temperature monitoring value, and the last data in the temperature monitoring set is the smallest temperature monitoring value.

[0118] Extract the first four temperature monitoring data points from the temperature monitoring set and calculate the average temperature.

[0119] The operating power of the cooling device is set according to the average temperature, and the condensate is cooled based on the cooling device.

[0120] In some embodiments of this application, setting the operating power of the cooling device based on the average temperature includes:

[0121] Preset the first preset temperature average value and the second preset temperature average value;

[0122] The operating power of the cooling device is set according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature.

[0123] When the average temperature is less than the first preset average temperature, the working power of the cooling device is set to ΔP1.

[0124] When the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature, the working power of the cooling device is set to ΔP2.

[0125] When the average temperature is greater than or equal to the second preset average temperature, the operating power of the cooling device is set to ΔP3.

[0126] In summary, this application discloses a multi-pipeline condensate transport system and method, including: a monitoring module, a judgment module, a cooling module, and a transport module. The monitoring module deploys temperature monitoring points in all transport pipelines and monitors the temperature of the condensate in the pipelines, obtaining multiple temperature monitoring values. The judgment module determines whether there is a temperature anomaly in the condensate in the transport pipelines based on the obtained temperature monitoring values. The cooling module acquires the temperature monitoring values ​​of all transport pipelines carrying transport identifiers and cools the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate. The transport module transports the cooled condensate using condensate pumps in the transport pipelines. This invention, by cooling the condensate, prevents flash steam from being generated during condensate transport, ensuring normal condensate transport and avoiding the waste of flash steam discharge.

[0127] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0128] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, features in the embodiments disclosed herein can be combined with each other in any manner, provided there is no structural conflict. The omission of all such combinations in this specification is merely for brevity and resource conservation. Therefore, the invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

[0129] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-pipeline condensate delivery system, characterized in that, The system includes: The monitoring module is used to deploy temperature monitoring points in all the delivery pipelines, and to monitor the temperature of the condensate in the delivery pipelines based on the deployed temperature monitoring points to obtain multiple temperature monitoring values; The judgment module is used to determine whether there is a temperature abnormality in the condensate in the delivery pipeline based on the obtained temperature monitoring value, and to generate an abnormality mark for the delivery pipeline with temperature abnormality, and to generate a delivery mark for the delivery pipeline without temperature abnormality. The cooling module is used to acquire the temperature monitoring values ​​of all conveying pipelines carrying conveying identification marks, and to cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooled condensate. A conveying module for conveying cooling condensate via a condensate pump in a conveying pipeline; The judgment module is used to obtain the preset temperature monitoring range of the delivery pipeline based on preset conditions; The judgment module is used to determine whether there is an abnormal temperature in the condensate in the delivery pipeline based on the temperature monitoring value and the preset temperature monitoring range. The judgment module is used to determine that there is no temperature abnormality in the condensate in the delivery pipeline if the temperature monitoring value is within the preset temperature monitoring range. The judgment module is used to determine that there is a temperature abnormality in the condensate in the conveying pipeline if the temperature monitoring value is not within the preset temperature monitoring range. The cooling module is used to sort all temperature monitoring values ​​by numerical value and generate a temperature monitoring set based on the sorting result. The head data of the temperature monitoring set is the largest temperature monitoring value, and the tail data of the temperature monitoring set is the smallest temperature monitoring value. The cooling module is used to extract the first four temperature monitoring data from the temperature monitoring set and calculate the average temperature. The cooling module is used to set the working power of the cooling device according to the average temperature, and to cool the condensate based on the cooling device. The cooling module is used to preset a first preset temperature average value and a second preset temperature average value; The cooling module is used to set the operating power of the cooling device according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature. The cooling module is used to set the operating power of the cooling device to ΔP1 when the average temperature is less than the first preset average temperature. The cooling module is used to set the operating power of the cooling device to ΔP2 when the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature. The cooling module is used to set the operating power of the cooling device to ΔP3 when the average temperature is greater than or equal to the second preset average temperature.

2. The multi-pipeline condensate delivery system of claim 1, wherein, The monitoring module is specifically used for: The monitoring module is used to acquire data parameters of the delivery pipeline and determine the initial temperature monitoring point based on the data parameters; The monitoring module is used to acquire historical data parameters of the pipeline and the corresponding historical temperature monitoring points. The monitoring module is used to predict and transform the data parameters of the delivery pipeline based on the correlation between the historical data parameters and the historical temperature monitoring points, so as to obtain the predicted temperature monitoring points. The monitoring module is used to compare the initial temperature monitoring point with the predicted temperature monitoring point; The monitoring module is used to determine that the initial temperature monitoring point is a temperature monitoring point in the delivery pipeline if the error value of the comparison result is less than a preset value. The monitoring module is used to adjust the initial temperature monitoring point based on the predicted temperature monitoring point if the error value of the comparison result is greater than or equal to the preset value, and to obtain the temperature monitoring point of the conveying pipeline based on the adjustment result.

3. A multi-pipe condensate water delivery method, characterized by, The method includes: Temperature monitoring points are deployed in all the delivery pipelines. Based on the deployed temperature monitoring points, the temperature of the condensate in the delivery pipelines is monitored to obtain multiple temperature monitoring values. Based on the obtained temperature monitoring values, determine whether there is an abnormal temperature in the condensate in the delivery pipeline, and generate an abnormality mark for the delivery pipeline with an abnormal temperature, and generate a delivery mark for the delivery pipeline without an abnormal temperature. Obtain the temperature monitoring values ​​of all conveying pipelines carrying conveying identification, and cool the condensate according to the corresponding temperature monitoring values ​​to obtain cooling condensate. Cooling condensate is transported using condensate pumps in the delivery pipeline; When determining whether there is a temperature anomaly in the condensate in the delivery pipeline based on the obtained temperature monitoring values, the following should be included: The preset temperature monitoring range of the delivery pipeline is obtained based on preset conditions; Based on the temperature monitoring values ​​and the preset temperature monitoring range, determine whether there is an abnormal temperature in the condensate in the delivery pipeline. If the temperature monitoring value is within the preset temperature monitoring range, it is determined that there is no temperature abnormality in the condensate in the delivery pipeline; If the temperature monitoring value is not within the preset temperature monitoring range, it is determined that the condensate in the conveying pipeline has an abnormal temperature. When acquiring temperature monitoring values ​​for all conveying pipelines bearing conveying identifiers, and cooling the condensate based on the corresponding temperature monitoring values, the following steps are included: All temperature monitoring values ​​are sorted by numerical value, and a temperature monitoring set is generated based on the sorting result. The first data in the temperature monitoring set is the largest temperature monitoring value, and the last data in the temperature monitoring set is the smallest temperature monitoring value. Extract the first four temperature monitoring data points from the temperature monitoring set and calculate the average temperature. The operating power of the cooling device is set according to the average temperature, and the condensate is cooled based on the cooling device. When setting the operating power of the cooling device based on the average temperature, the following is included: Preset the first preset temperature average value and the second preset temperature average value; The operating power of the cooling device is set according to the relationship between the average temperature, the first preset average temperature, and the second preset average temperature. When the average temperature is less than the first preset average temperature, the working power of the cooling device is set to ΔP1. When the average temperature is greater than or equal to the first preset average temperature and the average temperature is less than the second preset average temperature, the working power of the cooling device is set to ΔP2. When the average temperature is greater than or equal to the second preset average temperature, the operating power of the cooling device is set to ΔP3.

4. The multi-pipeline condensate delivery method of claim 3, wherein, When deploying temperature monitoring points in all delivery pipelines, this includes: Acquire the data parameters of the delivery pipeline, and determine the initial temperature monitoring point based on the data parameters; Obtain historical data parameters of the pipeline and the corresponding historical temperature monitoring points; Based on the correlation between the historical data parameters and the historical temperature monitoring points, the data parameters of the transport pipeline are predicted and transformed to obtain the predicted temperature monitoring points. Compare the initial temperature monitoring point with the predicted temperature monitoring point; If the error value of the comparison result is less than the preset value, then the initial temperature monitoring point is determined to be the temperature monitoring point in the delivery pipeline; If the error value of the comparison result is greater than or equal to the preset value, the initial temperature monitoring point is adjusted based on the predicted temperature monitoring point, and the temperature monitoring point of the conveying pipeline is obtained based on the adjustment result.

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