Cooling tower circulating water cooling end system optimization method and system

Abstract

The invention discloses a cooling tower circulating water cooling end system optimization method and system, and belongs to the technical field of industrial cooling. According to the method, operation parameters are collected in real time, core index quantitative calculation is carried out after data preprocessing, and system performance indexes are obtained; comparing and judging the system performance index with a design index threshold value to obtain an index judgment result; constructing a problem mapping table, searching the problem mapping table according to the index judgment result to obtain a preliminary diagnosis result, and performing targeted detection to obtain a final diagnosis result; and performing targeted optimization and effect inspection according to the final diagnosis result, and judging whether targeted optimization is performed again or not. The system comprises a data acquisition module, a data processing module, an index judgment module, a problem diagnosis module and an optimization and inspection module. Through real-time monitoring, accurate diagnosis and targeted optimization, the problem of performance reduction of the circulating water cooling end system is solved, the heat exchange efficiency is improved, energy consumption is reduced, efficient and stable operation of the system is guaranteed, and scientificity and practicability are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial cooling, and in particular to a method and system for optimizing a circulating water cooling end system of a cooling tower. Background Art

[0002] In the field of industrial cooling, the efficient operation of the circulating water cooling end system of the cooling tower is crucial to energy consumption control and equipment stability. At present, the existing circulating water cooling end system of the cooling tower often suffers from reduced heat exchange efficiency, increased energy consumption and uneven water flow distribution due to factors such as filler scaling, reduced equipment efficiency, blockage of the sprinkler head or angle deviation. Traditional optimization methods rely on manual experience to troubleshoot, lack real-time data support and accurate diagnosis mechanisms, making it difficult to quickly locate the root cause of systemic faults. In addition, the optimization strategy is not targeted enough, which can easily lead to the system being in an inefficient operation state for a long time, increasing the energy consumption cost and maintenance difficulty of industrial production. Therefore, there is an urgent need for a systematic optimization method based on real-time monitoring, quantitative analysis and accurate diagnosis to solve the technical problems of reduced performance, high energy consumption and delayed fault diagnosis of the existing circulating water cooling end system. To this end, a cooling tower circulating water cooling end system optimization method and system are proposed. Summary of the Invention

[0003] The object of the present invention is to provide a method and system for optimizing the circulating water cooling end system of a cooling tower to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: A method for optimizing a circulating water cooling end system of a cooling tower comprises the following steps: S1, real-time collection of operating parameters of the circulating water cooling end system of the cooling tower; S2. Perform data preprocessing on the operating parameters to obtain operating data of the circulating water cooling end system; S3. Quantify the core indicators of the circulating water cooling end system operating data to obtain the system performance indicators of the circulating water cooling end system of the cooling tower. The system performance indicators are judged by the cooling tower design indicator threshold to obtain the indicator judgment results of the circulating water cooling end system of the cooling tower; S4. Construct a problem mapping table, search the problem mapping table based on the indicator determination results, obtain a preliminary diagnosis result of the problem cause, and conduct targeted testing on the circulating water cooling end system based on the result to obtain a final diagnosis result of the problem cause; S5. Based on the final diagnosis result of the cause of the problem, the circulating water cooling end system of the cooling tower is optimized in a targeted manner, and the optimization effect of the circulating water cooling end system of the cooling tower that has been optimized is tested to determine whether targeted optimization should be performed again.

[0005] Preferably, the method for real-time acquisition of operating parameters of the circulating water cooling end system of the cooling tower is: The operating parameters of the circulating water cooling system of the cooling tower are collected in real time through the sensor network; The sensor network is a network system formed by a large number of micro sensor nodes deployed in a target monitoring area through self-organization via wireless communication.

[0006] Preferably, the method for performing data preprocessing on the operating parameters is: Performing data outlier processing on the operating parameters, identifying and deleting outliers that exceed the range of ±3 times the standard deviation of the mean, performing a normalization operation on the operating parameters that have undergone data outlier processing, and scaling the normalized operating parameters to the interval [0, 1] to obtain the operating data of the circulating water cooling end system. The normalization operation is a minimum-maximum scaling method; The operating data of the circulating water cooling end system includes circulating water inlet temperature, circulating water outlet temperature, circulating water flow, air flow, air inlet specific enthalpy, air outlet specific enthalpy, measured water flow of each sprinkler head, fan power and water pump power.

[0007] Preferably, the method of performing core index quantitative calculation on the operating data of the circulating water cooling end system to obtain the system performance index of the circulating water cooling end system of the cooling tower is as follows: The system performance index includes a heat exchange efficiency index , system energy consumption rate index and water flow distribution uniformity index ; The heat exchange efficiency of the cooling tower's circulating water cooling end system is calculated using the heat exchange efficiency formula for the circulating water inlet temperature, circulating water outlet temperature, circulating water flow rate, air flow rate, air inlet specific enthalpy, and air outlet specific enthalpy in the circulating water cooling end system operation data; The heat exchange efficiency formula is: ; in, The value is 4.2 The specific heat capacity of water, is the circulating water flow rate, is the circulating water inlet temperature, is the circulating water outlet temperature, The value is 1.01 The specific heat capacity of air at constant pressure, is the air flow rate, is the air outlet specific enthalpy, is the air inlet specific enthalpy; The fan power, water pump power, circulating water inlet temperature, circulating water outlet temperature and circulating water flow in the circulating water cooling end system operation data are calculated using the system energy consumption rate formula to obtain the system energy consumption rate of the circulating water cooling end system of the cooling tower; The system energy consumption rate formula is: ; in, is the fan power, is the water pump power, The value is 4.2 The specific heat capacity of water, is the circulating water flow rate, is the circulating water inlet temperature, is the circulating water outlet temperature; The measured water flow of each sprinkler head in the operating data of the circulating water cooling end system is calculated using the water flow distribution uniformity formula to obtain the water flow distribution uniformity index of the circulating water cooling end system of the cooling tower; The water flow distribution uniformity formula is: ; in, is the number of sprinkler heads, Measure the water flow rate for each sprinkler head.

[0008] Preferably, the method of determining the system performance index by using the cooling tower design index threshold to obtain the index determination result of the circulating water cooling end system of the cooling tower is as follows: The design index thresholds include a heat exchange efficiency threshold, a system energy consumption rate threshold, and a water flow distribution uniformity threshold; The heat exchange efficiency threshold, system energy consumption rate threshold and water flow distribution uniformity threshold are directly determined by the heat exchange efficiency index, system energy consumption rate index and water flow distribution uniformity index under the design working conditions of the circulating water cooling end system recorded in the cooling tower technical manual; The index determination results include heat exchange efficiency results, system energy consumption rate results and water flow distribution uniformity results; The system performance index is judged by the cooling tower design index threshold. If the heat exchange efficiency index is less than the heat exchange efficiency threshold, the heat exchange efficiency result is abnormal; otherwise, the heat exchange efficiency result is normal. If the system energy consumption rate index is greater than the system energy consumption rate threshold, the system energy consumption rate result is abnormal; otherwise, the system energy consumption rate result is normal; If the water flow distribution uniformity index is less than the water flow distribution uniformity threshold, the water flow distribution uniformity result is abnormal; otherwise, the water flow distribution uniformity result is normal.

[0009] Preferably, the method of constructing a problem mapping table, searching the problem mapping table according to the indicator determination result, and obtaining a preliminary diagnosis result of the cause of the problem is as follows: The preliminary diagnosis results of the problem causes include preliminary diagnosis results of the problem causes corresponding to the heat exchange efficiency results, preliminary diagnosis results of the problem causes corresponding to the system energy consumption rate results, and preliminary diagnosis results of the problem causes corresponding to the water flow distribution uniformity results; The problem mapping table records the preliminary diagnosis results of the causes of the problems corresponding to the abnormal heat exchange efficiency results, system energy consumption rate results, and water flow distribution uniformity results; If the heat transfer efficiency result is abnormal, the preliminary diagnosis result of the problem corresponding to the heat transfer efficiency result is packing fouling, packing damage or uneven air flow field; If the system energy consumption rate result is abnormal, the preliminary diagnosis result of the problem corresponding to the system energy consumption rate result is low equipment efficiency or high pipeline resistance; If the water flow distribution uniformity result is abnormal, the preliminary diagnosis result of the problem cause corresponding to the water flow distribution uniformity result is that the sprinkler head is clogged or the sprinkler head angle is deviated.

[0010] Preferably, the method of conducting targeted testing on the circulating water cooling end system based on the preliminary diagnosis result of the problem cause to obtain the final diagnosis result of the problem cause is: The final diagnosis of the cause of the problem includes packing scaling, packing damage, uneven air flow field, low equipment efficiency, high pipe resistance, sprinkler head blockage or sprinkler head angle deviation; For the preliminary diagnosis of the cause of the problem corresponding to the heat exchange efficiency result, the scale thickness and damage rate of the packing layer are detected using an industrial endoscope. If the scale thickness is greater than 2mm, the final diagnosis of the problem cause includes packing scaling. If the damage rate is greater than 15%, the final diagnosis of the problem cause includes packing damage. At the same time, a 5×5 grid of measuring points is arranged on the fan outlet cross section, and the wind speed at each measuring point is measured using an anemometer. If the deviation of the wind speed at a single measuring point from the average value is greater than 15%, the final diagnosis of the problem cause includes uneven air flow field. For the preliminary diagnosis of the cause of the problem corresponding to the system energy consumption rate result, the power input of the equipment is tested with a power meter. If the deviation between the input power and the rated power of the equipment is greater than 10%, the final diagnosis of the cause of the problem includes low equipment efficiency. At the same time, the pipe scale is tested with a pipe endoscope. If the pipe scale is greater than 3mm, the final diagnosis of the cause of the problem includes high pipe resistance. For the preliminary diagnosis of the cause of the problem corresponding to the water flow distribution uniformity result, the sprinkler head elevation angle is measured by an inclinometer. If the sprinkler head elevation angle is greater than , the final diagnosis result of the cause of the problem includes the angle deviation of the sprinkler head. At the same time, by installing a pressure sensor on the branch pipe to measure the pressure difference, if the pressure difference is greater than 10%, the final diagnosis result of the cause of the problem includes sprinkler head blockage.

[0011] Preferably, the method for performing targeted optimization on the circulating water cooling end system of the cooling tower according to the final diagnosis result of the problem cause is: For packing scaling, high pipe resistance and spray head blockage, the packing layer, pipes and spray heads are chemically cleaned with a 5% mass fraction citric acid solution; If the packing is damaged, replace the damaged packing layer; For uneven air flow field, manually adjust the blade angle and clear the fan inlet obstacles; For low efficiency of equipment, a frequency converter is installed on the equipment and PID control is adopted. The PID control is a classic automatic control algorithm. The angle deviation of the sprinkler head can be adjusted manually.

[0012] Preferably, the method of performing optimization effect inspection on the targeted optimized circulating water cooling end system of the cooling tower and determining whether to perform targeted optimization on the circulating water cooling end system of the cooling tower again is as follows: The circulating water-cooled end system of the cooling tower that has been optimized is operated at 50%, 75%, 100% and 120% of the design load respectively, and the respective index judgment results under 50%, 75%, 100% and 120% of the design load are recorded. If the heat exchange efficiency results, system energy consumption rate results and water flow distribution uniformity results in the respective index judgment results are normal, continue to monitor the circulating water-cooled end system of the cooling tower through the sensor; otherwise, re-optimize the circulating water-cooled end system of the cooling tower.

[0013] Due to the adoption of the above technical solution, the present invention has the following technical advancements compared to the prior art: 1. The present invention implements dynamic monitoring and quantitative analysis based on real-time data. It collects the full-dimensional operating parameters of the circulating water-cooling end system in real time through a sensor network. After data preprocessing and quantitative calculation of core indicators, it constructs a system performance evaluation system based on real-time data. Compared with the traditional lagging troubleshooting that relies on manual experience, the present invention realizes dynamic tracking and quantitative diagnosis of the system operating status, solves the problems of insufficient data support and ambiguous performance evaluation in the existing technology, and provides a scientific basis for precise optimization.

[0014] 2. The present invention realizes accurate fault diagnosis and differentiated optimization strategy. By constructing a problem mapping table, a standardized mapping relationship between indicator abnormalities and potential faults is established. Combined with targeted detection methods such as industrial endoscopes and anemometers, rapid positioning from indicator abnormalities to the root cause of the fault is achieved. At the same time, differentiated optimization plans are formulated for different fault types, avoiding the inefficiency of traditional blind troubleshooting and general processing modes, thereby improving heat exchange efficiency and reducing energy consumption, and significantly improving system operation efficiency and stability.

[0015] Attached illustration In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0016] Figure 1 Schematic diagram of the method of the present invention.

[0017] Specific embodiment To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] Example 1, as Figure 1 A method for optimizing a cooling tower circulating water cooling end system includes the following steps: S1, real-time collection of operating parameters of the circulating water cooling end system of the cooling tower; S2. Perform data preprocessing on the operating parameters to obtain operating data of the circulating water cooling end system; S3. Quantify the core indicators of the circulating water cooling end system operating data to obtain the system performance indicators of the circulating water cooling end system of the cooling tower. The system performance indicators are judged by the cooling tower design indicator threshold to obtain the indicator judgment results of the circulating water cooling end system of the cooling tower; S4. Construct a problem mapping table, search the problem mapping table based on the indicator determination results, obtain a preliminary diagnosis result of the problem cause, and conduct targeted testing on the circulating water cooling end system based on the result to obtain a final diagnosis result of the problem cause; S5. Based on the final diagnosis result of the cause of the problem, the circulating water cooling end system of the cooling tower is optimized in a targeted manner, and the optimization effect of the circulating water cooling end system of the cooling tower that has been optimized is tested to determine whether targeted optimization should be performed again.

[0019] Furthermore, the working principle of the present invention is described below by way of examples: The circulating water cooling system of an industrial cooling tower has a designed circulating water flow rate of 500m 3 / h, air flow rate 2000m 3 / h, the heat exchange efficiency design threshold is 0.85, the system energy consumption rate threshold is 0.02 kWh / (kJ·℃), and the water flow distribution uniformity threshold is 0.90.

[0020] The operating parameters are collected in real time through the sensor network deployed in the cooling tower. The circulating water inlet temperature is 35℃, the circulating water outlet temperature is 30℃, the circulating water flow rate is 500 kg / h, the air flow rate is 2000 kg / h, the fan power is 15 kW, the water pump power is 22 kW, the air inlet specific enthalpy is 50 kJ / kg, the air outlet specific enthalpy is 80 kJ / kg, and the measured water flow rates of the 10 sprinkler heads are , ,..., ; The mean and standard deviation of each parameter are calculated, and data exceeding ±3 times the standard deviation of the mean is deleted. In this embodiment, the data has no outliers. The operating parameters that have been processed for data outliers are normalized to the interval [0, 1] to obtain the operating data of the circulating water cooling end system. For example, under the assumption that the temperature range is 25 to 40°C, the circulating water inlet temperature is 0.67 after normalization.

[0021] Quantitative calculation of core indicators of the circulating water-cooled end system operating data revealed a heat exchange efficiency index of approximately 0.82. Compared with the design threshold of 0.85, the heat exchange efficiency result was determined to be abnormal. The system energy consumption rate index was approximately 0.0035 kWh / (kJ·°C), which was compared with the design threshold of 0.02 and was determined to be normal. The water flow distribution uniformity index was 0.96, which was compared with the design threshold of 0.90 and was determined to be normal.

[0022] According to the problem mapping table, the abnormal heat exchange efficiency corresponds to potential problems such as packing scaling, packing damage or uneven air flow field. Based on this, the circulating water cooling end system of the cooling tower was targeted for inspection. Using an industrial endoscope, it was found that the scale thickness of the packing layer was 3mm and the packing damage rate was 5%. The scale thickness of the packing layer was greater than 2mm, which determined that there was packing scaling. The packing damage rate was less than 15%, and damage was ruled out. For air flow field detection, 5×5 grid measuring points were arranged at the fan outlet section. The anemometer test showed that the deviation of the wind speed at a single measuring point from the average value was 20%, which was greater than 15%, and it was determined that there was uneven air flow field. Based on this, the final diagnosis result was packing scaling and uneven air flow field.

[0023] Based on the final diagnostic results, the packing layer was chemically cleaned with a 5% citric acid solution to remove scale. Simultaneously, the fan blade angle was manually adjusted and obstructions at the fan inlet were cleared to improve the flow field. The optimized cooling tower's circulating water cooling system was recalculated at 100% design load, yielding a heat exchange efficiency index of 0.88 and a system energy consumption index of 0.95. These results, when compared to the set thresholds, were considered normal. Further verification at 50%, 75%, and 120% loads confirmed that all indicators met the standards, confirming the effectiveness of the optimization and entering the ongoing monitoring phase.

[0024] The above is a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily think of modifications or replacements within the technical scope disclosed in the present invention, which should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing the circulating water cooling end system of a cooling tower, characterized in that: The following steps are involved: S1, real-time collection of operating parameters of the circulating water cooling end system of the cooling tower; S2. Perform data preprocessing on the operating parameters to obtain operating data of the circulating water cooling end system; S3. Quantify the core indicators of the circulating water cooling end system operating data to obtain the system performance indicators of the circulating water cooling end system of the cooling tower. The system performance indicators are judged by the cooling tower design indicator threshold to obtain the indicator judgment results of the circulating water cooling end system of the cooling tower; S4. Construct a problem mapping table, search the problem mapping table based on the indicator determination results, obtain a preliminary diagnosis result of the problem cause, and conduct targeted testing on the circulating water cooling end system based on the result to obtain a final diagnosis result of the problem cause; S5. Based on the final diagnosis result of the cause of the problem, the circulating water cooling end system of the cooling tower is optimized in a targeted manner, and the optimization effect of the circulating water cooling end system of the cooling tower that has been optimized is tested to determine whether targeted optimization should be performed again.

2. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 1, characterized in that: The method for real-time acquisition of operating parameters of the circulating water cooling end system of the cooling tower: The operating parameters of the circulating water cooling system of the cooling tower are collected in real time through the sensor network; The sensor network is a network system formed by a large number of micro sensor nodes deployed in a target monitoring area through self-organization via wireless communication.

3. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 2, characterized in that: The method for performing data preprocessing operation on operating parameters: Perform data outlier processing on the operating parameters, identify and delete outliers that exceed the range of ±3 times the standard deviation of the mean, perform normalization on the operating parameters that have undergone data outlier processing, and scale the normalized operating parameters to the range of [0, 1] to obtain the operating data of the circulating water cooling end system; The operating data of the circulating water cooling end system includes circulating water inlet temperature, circulating water outlet temperature, circulating water flow, air flow, air inlet specific enthalpy, air outlet specific enthalpy, measured water flow of each sprinkler head, fan power and water pump power.

4. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 3, characterized in that: The method of performing core index quantitative calculation on the operating data of the circulating water cooling end system to obtain the system performance index of the circulating water cooling end system of the cooling tower is as follows: The system performance indicators include heat exchange efficiency index, system energy consumption rate index and water flow distribution uniformity index; The heat exchange efficiency of the cooling tower's circulating water cooling end system is calculated using the heat exchange efficiency formula for the circulating water inlet temperature, circulating water outlet temperature, circulating water flow rate, air flow rate, air inlet specific enthalpy, and air outlet specific enthalpy in the circulating water cooling end system operation data; The fan power, water pump power, circulating water inlet temperature, circulating water outlet temperature and circulating water flow in the circulating water cooling end system operation data are calculated using the system energy consumption rate formula to obtain the system energy consumption rate of the circulating water cooling end system of the cooling tower; The measured water flow of each sprinkler head in the operating data of the circulating water cooling end system is calculated using the water flow distribution uniformity formula to obtain the water flow distribution uniformity index of the circulating water cooling end system of the cooling tower.

5. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 4, characterized in that: The method for determining the index determination result of the circulating water cooling end system of the cooling tower by judging the system performance index through the cooling tower design index threshold is as follows: The design index thresholds include a heat exchange efficiency threshold, a system energy consumption rate threshold, and a water flow distribution uniformity threshold; The heat exchange efficiency threshold, system energy consumption rate threshold and water flow distribution uniformity threshold are directly determined by the heat exchange efficiency index, system energy consumption rate index and water flow distribution uniformity index under the design working conditions of the circulating water cooling end system recorded in the cooling tower technical manual; The index determination results include heat exchange efficiency results, system energy consumption rate results and water flow distribution uniformity results; The system performance index is judged by the cooling tower design index threshold. If the heat exchange efficiency index is less than the heat exchange efficiency threshold, the heat exchange efficiency result is abnormal; otherwise, the heat exchange efficiency result is normal. If the system energy consumption rate index is greater than the system energy consumption rate threshold, the system energy consumption rate result is abnormal; otherwise, the system energy consumption rate result is normal; If the water flow distribution uniformity index is less than the water flow distribution uniformity threshold, the water flow distribution uniformity result is abnormal; otherwise, the water flow distribution uniformity result is normal.

6. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 5, characterized in that: The method of constructing a problem mapping table, searching the problem mapping table according to the indicator determination result, and obtaining a preliminary diagnosis result of the problem cause: The preliminary diagnosis results of the problem causes include preliminary diagnosis results of the problem causes corresponding to the heat exchange efficiency results, preliminary diagnosis results of the problem causes corresponding to the system energy consumption rate results, and preliminary diagnosis results of the problem causes corresponding to the water flow distribution uniformity results; The problem mapping table records the preliminary diagnosis results of the causes of the problems corresponding to the abnormal heat exchange efficiency results, system energy consumption rate results, and water flow distribution uniformity results; If the heat transfer efficiency result is abnormal, the preliminary diagnosis result of the problem corresponding to the heat transfer efficiency result is packing fouling, packing damage or uneven air flow field; If the system energy consumption rate result is abnormal, the preliminary diagnosis result of the problem corresponding to the system energy consumption rate result is low equipment efficiency or high pipeline resistance; If the water flow distribution uniformity result is abnormal, the preliminary diagnosis result of the problem cause corresponding to the water flow distribution uniformity result is that the sprinkler head is clogged or the sprinkler head angle is deviated.

7. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 6, characterized in that: The method of conducting targeted testing on the circulating water cooling system based on the preliminary diagnosis results of the problem cause to obtain the final diagnosis results of the problem cause: The final diagnosis of the cause of the problem includes packing scaling, packing damage, uneven air flow field, low equipment efficiency, high pipe resistance, sprinkler head blockage or sprinkler head angle deviation; For the preliminary diagnosis of the cause of the problem corresponding to the heat exchange efficiency result, the scale thickness and damage rate of the packing layer are detected using an industrial endoscope. If the scale thickness is greater than 2mm, the final diagnosis of the problem cause includes packing scaling. If the damage rate is greater than 15%, the final diagnosis of the problem cause includes packing damage. At the same time, a 5×5 grid of measuring points is arranged on the fan outlet cross section, and the wind speed at each measuring point is measured using an anemometer. If the deviation of the wind speed at a single measuring point from the average value is greater than 15%, the final diagnosis of the problem cause includes uneven air flow field. For the preliminary diagnosis of the cause of the problem corresponding to the system energy consumption rate result, the power input of the equipment is tested with a power meter. If the deviation between the input power and the rated power of the equipment is greater than 10%, the final diagnosis of the cause of the problem includes low equipment efficiency. At the same time, the pipe scale is tested with a pipe endoscope. If the pipe scale is greater than 3mm, the final diagnosis of the cause of the problem includes high pipe resistance. For the preliminary diagnosis of the cause of the problem corresponding to the water flow distribution uniformity result, the sprinkler head elevation angle is measured by an inclinometer. If the sprinkler head elevation angle is greater than , the final diagnosis result of the cause of the problem includes the angle deviation of the sprinkler head. At the same time, by installing a pressure sensor on the branch pipe to measure the pressure difference, if the pressure difference is greater than 10%, the final diagnosis result of the cause of the problem includes sprinkler head blockage.

8. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 7, characterized in that: The method for optimizing the circulating water cooling end system of the cooling tower according to the final diagnosis result of the problem cause is as follows: For packing scaling, high pipe resistance and spray head blockage, the packing layer, pipes and spray heads are chemically cleaned with a 5% mass fraction citric acid solution; If the packing is damaged, replace the damaged packing layer; For uneven air flow field, manually adjust the blade angle and clear the fan inlet obstacles; For low efficiency equipment, install a frequency converter on the equipment and adopt PID control; The angle deviation of the sprinkler head can be adjusted manually; The PID control is a classic automatic control algorithm.

9. The method for optimizing the circulating water cooling end system of a cooling tower according to claim 8, characterized in that: The method of testing the optimization effect of the circulating water cooling end system of the cooling tower that has been optimized in a targeted manner and determining whether to re-optimize the circulating water cooling end system of the cooling tower in a targeted manner: The circulating water-cooled end system of the cooling tower that has been optimized is operated at 50%, 75%, 100% and 120% of the design load respectively, and the respective index judgment results under 50%, 75%, 100% and 120% of the design load are recorded. If the heat exchange efficiency results, system energy consumption rate results and water flow distribution uniformity results in the respective index judgment results are normal, continue to monitor the circulating water-cooled end system of the cooling tower through the sensor; otherwise, re-optimize the circulating water-cooled end system of the cooling tower.

10. A cooling tower circulating water cooling end system optimization system, the system is used to implement a cooling tower circulating water cooling end system optimization method according to claim 1, characterized in that: include: Data acquisition module, used to collect the operating parameters of the circulating water cooling end system of the cooling tower in real time; The data processing module is used to perform data preprocessing operations on the operating parameters to obtain the operating data of the circulating water cooling end system; The indicator judgment module is used to perform core indicator quantitative calculations on the operating data of the circulating water cooling end system to obtain the system performance indicators of the circulating water cooling end system of the cooling tower. The system performance indicators are judged by the cooling tower design indicator threshold to obtain the indicator judgment results of the circulating water cooling end system of the cooling tower; The problem diagnosis module is used to build a problem mapping table, search the problem mapping table according to the indicator judgment results, obtain the preliminary diagnosis results of the problem cause, and conduct targeted testing on the circulating water cooling end system based on this to obtain the final diagnosis results of the problem cause; The optimization and inspection module is used to carry out targeted optimization of the circulating water cooling end system of the cooling tower according to the final diagnosis results of the cause of the problem, and to inspect the optimization effect of the circulating water cooling end system of the cooling tower that has been targeted and to determine whether targeted optimization should be carried out again.

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