An intelligent monitoring system and method for the water outlet of a central air-conditioning cooling tower

Abstract

The present invention discloses an intelligent monitoring system and method for the outlet water of a central air-conditioning cooling tower, relating to the technical field of monitoring the water quality of the outlet water of a cooling tower. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower includes: an operation fluctuation analysis module, an outlet water quality monitoring module, and a water quality drainage and makeup optimization module. The present invention conducts a fluctuation analysis on the operation efficiency of a central air-conditioning cooling tower, adjusts the outlet water flow of the central air-conditioning cooling tower and collects the outlet water quality data based on the results of the fluctuation analysis, then monitors the water quality of the outlet water of the central air-conditioning cooling tower, and finally optimizes the outlet water quality drainage and makeup of the outlet water of the central air-conditioning cooling tower in combination with the results of the water quality warning analysis, thereby realizing more efficient management of the outlet water quality in the intelligent monitoring process of the outlet water of a central air-conditioning cooling tower, and solving the problem in the prior art that the interaction between water quality and operation is not considered during the management of the outlet water quality in the intelligent monitoring process of the outlet water of a central air-conditioning cooling tower.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring the water quality of the cooling tower effluent, and particularly to an intelligent monitoring system and method for the cooling tower effluent of a central air conditioner. Background Art

[0002] As one of the core components of a central air conditioner, the cooling tower is responsible for heat dissipation to ensure the normal operation of the central air conditioner. The water circulation system of the cooling tower involves a large amount of water resources and is usually exposed to the external environment, being affected by external pollutants. Therefore, the management of the effluent water quality is particularly important. The effluent water quality of the cooling tower directly affects the operation efficiency of the equipment, the energy-saving effect of the system, and the impact on the environment. If the effluent water quality of the cooling tower is not properly monitored and treated, it may cause harmful substances (such as bacteria, algae, heavy metals, etc.) in the water to flow into natural water bodies, polluting the ecological environment. In addition, if the drainage pipes of the cooling tower discharge untreated water quality, it will also have a negative impact on the nearby water bodies. Currently, many cooling towers still have deficiencies in water quality monitoring, lacking intelligent monitoring and timely warning mechanisms. In order to improve the stability, efficiency, and environmental protection level of the cooling tower system, introducing advanced monitoring of the cooling tower effluent water quality has become an urgent issue to be solved. Through effective monitoring of the effluent water quality, it can ensure the efficient, environmentally friendly, safe, and economical operation of the cooling tower, which is one of the core technologies indispensable in modern air conditioning system management and building operation.

[0003] The existing monitoring of the cooling tower effluent of a central air conditioner ensures the efficient heat exchange and stable operation of the central air conditioner by real-time monitoring of basic parameters such as the effluent temperature, flow rate, and pressure of the cooling tower. Compared with the basic monitoring of temperature, flow rate, and pressure, water quality monitoring is more complex and important because changes in water quality may affect the long-term operation of the cooling tower, energy consumption, and the health of the central air conditioner. The effluent water quality monitoring realizes the real-time monitoring of water quality through various sensors (such as pH, turbidity, dissolved oxygen, conductivity, etc.). Combining the Internet of Things and an automated control system, it can achieve remote monitoring, warning, and intelligent optimization.

[0004] For example, the invention patent announcement No. CN114370696B discloses a method for controlling the outlet water temperature of a central air-conditioning cooling tower based on the D-S evidence theory, which includes: collecting sensor parameters of different types during the operation of the central air-conditioning system and using them as the original sample data reflecting the outlet water temperature of the cooling tower; preprocessing the original sample data, performing principal component analysis and correlation analysis to obtain an input data set, and inputting it into each intelligent prediction algorithm for training to obtain multiple corresponding prediction models for the outlet water temperature of the cooling tower; using the D-S evidence theory to extract weights and fuse the prediction results of multiple prediction models for the outlet water temperature of the cooling tower to obtain the final predicted value of the outlet water temperature of the cooling tower; comparing the predicted value of the outlet water temperature of the cooling tower with the set outlet water temperature value of the cooling tower. If they are inconsistent, taking the energy consumption of the cooling water system as the objective function, setting constraint conditions, and using an intelligent optimization algorithm to solve to obtain the operating frequency combination of the cooling water pump and the cooling tower fan with the optimal energy consumption.

[0005] For example, the invention patent announcement No. CN104089362B discloses a method and a control device for maximizing the cooling efficiency of a central air-conditioning cooling water system, which includes: an information collection module, a cooling water pump control cabinet, and a cooling tower control cabinet are respectively connected to the main controller bidirectionally through signal lines to realize data transmission and signal control; the cooling water pump control cabinet includes a cooling water pump intelligent controller, and a communication port is provided on the cooling water pump intelligent controller; the cooling tower control cabinet includes a cooling tower intelligent controller, and a communication port is provided on the cooling tower intelligent controller. The cooling water system is dynamically adjusted according to the optimal condensation temperature under different loads and different outdoor wet bulb temperatures.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] The cooling tower reduces the water temperature through the cooling process. If the cooling tower operates unstably or inefficiently, the water temperature may not be fully controlled, which will affect the overall performance of the cooling system. At the same time, it may also lead to water quality problems, such as a decrease in the dissolved oxygen content in the water. At the same time, since the cooling tower is often exposed to the air, the water body may be contaminated by bacteria and algae. The reproduction of bacteria and algae will accelerate the deterioration of water quality, not only reducing the efficiency of the cooling tower, but also possibly causing health hazards.

[0008] It should also be considered that without an effective basis for water quality management, the cooling tower may need to drain water and replenish water frequently, resulting in waste of water resources. There is a problem that the interaction between water quality and operation is not considered during the intelligent monitoring of the outlet water quality of the central air-conditioning cooling tower. Summary of the Invention

[0009] Embodiments of the present application provide an intelligent monitoring system and method for the outlet water of a central air-conditioning cooling tower, which solve the problem in the prior art that the interaction between water quality and operation is not considered during the management of the outlet water quality in the intelligent monitoring process of the outlet water of the central air-conditioning cooling tower, and realize more efficient management of the outlet water quality in the intelligent monitoring process of the outlet water of the central air-conditioning cooling tower.

[0010] Embodiments of the present application provide an intelligent monitoring system for the outlet water of a central air-conditioning cooling tower, including: an operation fluctuation analysis module, an outlet water quality monitoring module, and a water quality discharge and makeup optimization module; the operation fluctuation analysis module is used to perform fluctuation analysis on the operation efficiency of the central air-conditioning cooling tower, and based on the result of the fluctuation analysis, adjust the outlet water flow rate of the central air-conditioning cooling tower and collect the outlet water quality data; the outlet water quality monitoring module is used to monitor the outlet water quality of the central air-conditioning cooling tower based on the outlet water quality data to obtain a water quality warning analysis result; the water quality discharge and makeup optimization module is used to optimize the outlet water quality discharge and makeup of the central air-conditioning cooling tower in combination with the water quality warning analysis result, and the outlet water quality discharge and makeup optimization means performing outlet water discharge and makeup based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0011] Further, perform a fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, and the specific steps are as follows: Obtain the environmental interference quantification data and the cooling tower operation quantification data within the preset operating efficiency fluctuation monitoring time interval. The environmental interference quantification data includes the operating environment humidity, the operating environment temperature, and the operating environment wind speed. The cooling tower operation quantification data includes the cooling tower water outlet flow rate, the cooling tower water outlet temperature, and the cooling tower fan power. Perform statistical analysis on the environmental interference quantification data and the cooling tower operation quantification data respectively to obtain the average environmental interference data and the cooling tower average operation data. The average environmental interference data includes the average operating environment humidity, the average operating environment temperature, and the average operating environment wind speed. The cooling tower average operation data includes the average water outlet flow rate, the average water outlet temperature, and the average fan power. Both the cooling tower operation quantification data and the cooling tower average operation data have been de-dimensionalized. Perform humidity-water flow interaction processing on the average operating environment humidity ratio result and the cooling tower water outlet flow rate difference analysis result to obtain the water flow fluctuation coefficient. The humidity-water flow interaction processing is used to describe the interaction between the average operating environment humidity ratio result and the cooling tower water outlet flow rate difference analysis result. Perform temperature-water temperature interaction processing on the average operating environment temperature ratio result and the cooling tower water outlet temperature difference analysis result to obtain the temperature fluctuation coefficient. The temperature-water temperature interaction processing is used to describe the interaction between the average operating environment temperature ratio result and the cooling tower water outlet temperature difference analysis result. Perform wind speed-fan power interaction processing on the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result to obtain the fan power fluctuation coefficient. The wind speed-fan power interaction processing is used to describe the interaction between the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result. Perform weighted operation on the water flow fluctuation coefficient, the temperature fluctuation coefficient, the fan power fluctuation coefficient and the corresponding fluctuation compensation values and then perform coupling processing to obtain the operation fluctuation determination value. The operation fluctuation determination value is used to quantitatively evaluate the fluctuation degree of the operating efficiency of the central air-conditioning cooling tower. The operation fluctuation determination value represents the quantitative data of the combined influence of the water flow fluctuation coefficient, the temperature fluctuation coefficient, and the fan power fluctuation coefficient on the fluctuation degree of the operating efficiency of the central air-conditioning cooling tower. The fluctuation compensation values include the water flow fluctuation compensation value, the temperature fluctuation compensation value, and the fan power fluctuation compensation value.

[0012] Further, for the adjustment of the water flow rate of the central air-conditioning cooling tower, the specific process is as follows: Determine whether the obtained operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database; if the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, then map it based on the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value into the water flow rate mapping set in the preset database to obtain the adjusted water flow rate of the cooling tower. The water flow rate mapping set represents the mapping relationship between the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value and the adjusted water flow rate of the cooling tower; if the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, then jointly input the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value into the PID controller to obtain the optimized adjusted water flow rate of the cooling tower.

[0013] Further, for the collection of the water quality data of the outlet water, the specific process is as follows: When the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, collect the water quality data of the outlet water at the optimized collection frequency; the optimized collection frequency represents the result of mapping the real-time operation fluctuation determination value into the collection frequency mapping set in the preset database, and the collection frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the optimized collection frequency; when the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, collect the water quality data of the outlet water at the adjusted collection frequency; the adjusted collection frequency represents the result of mapping the real-time operation fluctuation determination value into the adjustment frequency mapping set in the preset database, and the adjustment frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the adjusted collection frequency; the water quality data of the outlet water includes the outlet water pH value, the outlet water conductivity, the outlet water hardness, and the outlet water dissolved oxygen content.

[0014] Furthermore, water quality monitoring is carried out on the cooling tower water outlet of the central air conditioner based on the water quality data of the outlet water. The specific steps are as follows: Obtain the water quality monitoring data at the preset water quality monitoring time at preset time intervals, perform a difference analysis on the water quality monitoring data and the corresponding water quality reference data, and then combine the difference analysis results with the corresponding reference maximum water quality data for a proportion analysis to obtain the corresponding water quality monitoring deviation score; The water quality monitoring data includes the monitored outlet water pH value, the monitored outlet water conductivity, the monitored outlet water hardness, and the monitored outlet water dissolved oxygen; The water quality monitoring deviation score includes the outlet water pH monitoring deviation score, the outlet water conductivity deviation score, the outlet water hardness monitoring deviation score, and the dissolved oxygen monitoring deviation score; Perform a weighted operation on the obtained water quality monitoring deviation score and the corresponding monitoring compensation value and then perform a coupled averaging process to obtain the water quality monitoring determination value. The monitoring compensation value includes the pH monitoring compensation value, the conductivity monitoring compensation value, the hardness monitoring compensation value, and the dissolved oxygen monitoring compensation value; The water quality monitoring determination value is used to quantitatively evaluate the deterioration degree of the cooling tower water outlet quality of the central air conditioner; The water quality monitoring determination value represents the quantitative data of the outlet water pH monitoring deviation score, the outlet water conductivity deviation score, the outlet water hardness monitoring deviation score, and the dissolved oxygen monitoring deviation score for evaluating the deterioration degree of the cooling tower water outlet quality of the central air conditioner.

[0015] Furthermore, the specific process for obtaining the water quality warning analysis result is as follows: Judge whether the deviation degree between the obtained water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database; If the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database, record the water quality warning analysis result as water quality qualified; If the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold is not within the preset water quality safety allowable range obtained from the preset database, record the water quality warning analysis result as water quality warning.

[0016] Furthermore, the specific steps for optimizing the water outlet quality discharge and supplement of the cooling tower water outlet of the central air conditioner in combination with the water quality warning analysis result are as follows: When the water quality warning analysis result is water quality warning, judge whether the obtained water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database; If the water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database, perform an outlet water quality warning discharge and supplement optimization on the cooling tower water outlet of the central air conditioner; If the water quality detection determination value is not greater than the reference water quality warning threshold obtained from the preset database, perform a step-by-step outlet water quality discharge and supplement optimization on the cooling tower water outlet of the central air conditioner; The outlet water quality discharge and supplement optimization includes the outlet water quality warning discharge and supplement optimization and the step-by-step outlet water quality discharge and supplement optimization.

[0017] Further, optimize the drainage and makeup for the outlet water quality. The specific process is as follows: Input the deviation degree between the water quality monitoring determination value and the reference water quality warning threshold into the warning drainage and makeup mapping set in the preset database for mapping to obtain the warning drainage ratio; Input the warning drainage ratio into the drainage and makeup ratio mapping set in the preset database for mapping to obtain the corresponding warning makeup ratio; Perform drainage and makeup for the outlet water quality according to the warning drainage ratio and the warning makeup ratio. The drainage and makeup for the outlet water quality refers to draining water from the cooling tower according to the warning drainage ratio and then making up water to the cooling tower in combination with the warning makeup ratio; The warning drainage and makeup mapping set represents the mapping relationship between the deviation degree of the water quality monitoring determination value and the reference water quality warning threshold and the warning drainage ratio, and the drainage and makeup ratio mapping set represents the mapping relationship between the warning drainage ratio and the warning makeup ratio.

[0018] Further, optimize the step-by-step drainage and makeup for the outlet water quality. The specific process is as follows: Input the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold into the primary drainage and makeup mapping set in the preset database for mapping to obtain the primary drainage ratio. The primary drainage and makeup mapping set represents the mapping relationship between the deviation degree of the water quality monitoring determination value and the reference water quality safety threshold and the primary drainage ratio; Input the primary drainage ratio into the primary drainage and makeup ratio mapping set in the preset database for mapping to obtain the corresponding primary makeup ratio. The primary drainage and makeup ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary makeup ratio; Perform primary drainage and makeup for the outlet water quality according to the primary drainage ratio and the primary makeup ratio, and obtain the primary water quality monitoring determination value after draining and making up water for the outlet water quality with the primary drainage ratio and the primary makeup ratio. The primary drainage and makeup for the outlet water quality refers to draining water from the cooling tower according to the primary drainage ratio and then making up water to the cooling tower in combination with the primary makeup ratio; Judge whether the deviation degree between the primary water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range. If the deviation degree between the primary water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range, stop the step-by-step optimization of the drainage and makeup for the outlet water quality; Otherwise, perform drainage and makeup for the outlet water quality based on the orderly increasing level drainage ratio and level makeup ratio, and obtain the level water quality monitoring determination value after step-by-step drainage and makeup for the outlet water quality until the deviation degree between the level water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range.

[0019] The embodiment of the present application provides an intelligent monitoring method for the outlet water of a central air-conditioning cooling tower, including the following steps: Step 1, perform fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, and collect the outlet water flow regulation and outlet water quality data of the central air-conditioning cooling tower based on the results of the fluctuation analysis; Step 2, perform water quality monitoring on the outlet water of the central air-conditioning cooling tower based on the outlet water quality data to obtain the water quality warning analysis result; Step 3, optimize the drainage and makeup for the outlet water quality of the central air-conditioning cooling tower in combination with the water quality warning analysis result. The optimization of the drainage and makeup for the outlet water quality means performing drainage and makeup for the outlet water based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0020] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0021] 1. By performing fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, adjusting the outlet water flow rate of the central air-conditioning cooling tower and collecting the outlet water quality data based on the results of the fluctuation analysis, then monitoring the water quality of the outlet water of the central air-conditioning cooling tower, and finally optimizing the water replenishment and discharge of the outlet water quality of the central air-conditioning cooling tower in combination with the results of the water quality warning analysis, the fluctuation analysis of the operating efficiency of the central air-conditioning cooling tower and the monitoring of the outlet water quality and the optimization of the water replenishment and discharge of the outlet water quality are realized. Furthermore, the water quality management during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower is carried out more efficiently, effectively solving the problem in the prior art that the interaction between water quality and operation is not considered during the water quality management in the intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0022] 2. By determining whether the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, if the operation fluctuation determination value is within the preset fluctuation allowable threshold range, the outlet water quality data is collected at an optimized collection frequency, and if the operation fluctuation determination value is not within the preset fluctuation allowable threshold range, the outlet water quality data is collected at an adjusted collection frequency, thereby realizing the optimization of the collection of the outlet water quality data corresponding to the fluctuation degree of the operating efficiency of the central air-conditioning cooling tower, and further realizing the improvement of the reliability of the collection of the outlet water quality data during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0023] 3. By performing difference analysis on the outlet water quality monitoring data and the corresponding water quality reference data and then combining the difference analysis results with the corresponding reference maximum water quality data for ratio analysis to obtain the corresponding water quality monitoring deviation score, and then performing weighted operation and coupling averaging processing according to the water quality monitoring deviation score and the corresponding monitoring compensation value to obtain the water quality monitoring determination value, the quantitative evaluation of the outlet water quality of the central air-conditioning cooling tower is realized, and further a more accurate evaluation of the outlet water quality during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower is realized. Description of the Drawings

[0024] Figure 1 It is a schematic structural diagram of an intelligent monitoring system for the outlet water of a central air-conditioning cooling tower provided by an embodiment of the present application;

[0025] Figure 2 It is a flowchart of an intelligent monitoring method for the outlet water of a central air-conditioning cooling tower provided by an embodiment of the present application. Detailed Embodiments

[0026] The embodiments of the present application provide an intelligent monitoring system and method for the outlet water of a central air-conditioning cooling tower, which solve the problem in the prior art that the interaction between water quality and operation is not considered during the intelligent monitoring of the outlet water quality of the central air-conditioning cooling tower. By performing fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, adjusting the outlet water flow of the central air-conditioning cooling tower and collecting the outlet water quality data based on the results of the fluctuation analysis, then monitoring the outlet water quality of the central air-conditioning cooling tower according to the outlet water quality data to obtain the water quality warning analysis result, and finally optimizing the outlet water quality replenishment and discharge of the central air-conditioning cooling tower in combination with the water quality warning analysis result, the intelligent monitoring of the outlet water quality during the operation of the central air-conditioning cooling tower is realized more efficiently, and the management of the outlet water quality is achieved.

[0027] The technical solution in the embodiments of the present application is to solve the problem that the interaction between water quality and operation is not considered during the intelligent monitoring of the outlet water quality of the central air-conditioning cooling tower. The general idea is as follows:

[0028] By adjusting the outlet water flow of the central air-conditioning cooling tower and collecting the outlet water quality data based on the results of the fluctuation analysis, then monitoring the outlet water quality of the central air-conditioning cooling tower, and finally optimizing the outlet water quality replenishment and discharge of the central air-conditioning cooling tower in combination with the water quality warning analysis result, the effect of more efficient management of the outlet water quality during the intelligent monitoring of the central air-conditioning cooling tower is achieved.

[0029] In order to better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0030] As Figure 1 shown, it is a schematic structural diagram of an intelligent monitoring system for the outlet water of a central air-conditioning cooling tower provided by the embodiments of the present application. An intelligent monitoring system for the outlet water of a central air-conditioning cooling tower provided by the embodiments of the present application includes: an operation fluctuation analysis module, an outlet water quality monitoring module, and a water quality replenishment and discharge optimization module; the operation fluctuation analysis module is used to perform fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, and adjust the outlet water flow of the central air-conditioning cooling tower and collect the outlet water quality data based on the results of the fluctuation analysis; the outlet water quality monitoring module is used to monitor the outlet water quality of the central air-conditioning cooling tower based on the outlet water quality data to obtain the water quality warning analysis result; the water quality replenishment and discharge optimization module is used to optimize the outlet water quality replenishment and discharge of the central air-conditioning cooling tower in combination with the water quality warning analysis result, and the outlet water quality replenishment and discharge optimization means performing outlet water replenishment and discharge based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0031] In this embodiment, the central air-conditioning cooling tower plays a crucial role in large-scale air-conditioning systems, especially in large commercial buildings, industrial facilities, and other places that require cooling. Its main function is to reduce the water temperature through evaporative cooling to maintain the normal operation of the central air-conditioning. However, the operating efficiency and water quality problems of the cooling tower directly affect the energy efficiency, equipment life, and environmental protection of the central air-conditioning. Therefore, it is very necessary to monitor the water quality of the central air-conditioning cooling tower outlet and analyze the operating efficiency.

[0032] During the operation of the central air-conditioning cooling tower, changes in water quality may cause mineral deposits in the water, forming scale. The formation of scale not only reduces the heat exchange efficiency but also corrodes various components of the cooling tower, thus affecting the long-term operating stability. At the same time, unqualified water quality will directly affect the heat exchange capacity of the cooling tower. Impurities and minerals in the water will cause poor heat transfer on the heat exchange surface, reducing the heat exchange efficiency, resulting in poor cooling effect of the central air-conditioning system. In the intelligent monitoring process of the outlet water of many traditional central air-conditioning cooling towers, water quality monitoring mostly relies on manual inspections and lacks a real-time and accurate intelligent monitoring system. This makes it impossible to detect changes in water quality in a timely manner and unable to adjust the water treatment method according to the actual situation. The scale formation, corrosion, and microbial growth caused by water quality problems directly affect the operating efficiency of the cooling tower, thereby increasing energy consumption, raising the equipment failure rate, increasing operating costs, and bringing pressure in terms of environmental protection and social responsibility. Therefore, to solve these problems, the algorithm of this application realizes the fluctuation analysis of the operating efficiency of the central air-conditioning cooling tower, the monitoring of the outlet water quality, and the optimization of the water replenishment and discharge of the outlet water quality, thereby effectively improving the operating efficiency and water quality management of the cooling tower, optimizing resource utilization, reducing environmental pollution, and helping enterprises meet increasingly strict environmental protection regulations, thus promoting enterprises to move towards the direction of green and sustainable development.

[0033] Furthermore, the specific steps for conducting a fluctuation analysis of the operating efficiency of the central air-conditioning cooling tower are as follows:

[0034] A1. Obtain the environmental interference quantification data and the cooling tower operation quantification data within the preset operation efficiency fluctuation monitoring time interval. The environmental interference quantification data includes the operating environment humidity, the operating environment temperature, and the operating environment wind speed. The cooling tower operation quantification data includes the cooling tower water outlet flow rate, the cooling tower water outlet temperature, and the cooling tower fan power. Specifically, for the environmental interference quantification data, the operating environment humidity, the operating environment temperature, and the operating environment wind speed are obtained through the humidity sensor, the temperature sensor, and the wind speed sensor deployed at the air inlet of the cooling tower. The unit of the operating environment humidity is the same as that of the reference operating environment humidity, both being %RH; the unit of the operating environment temperature is the same as that of the reference operating environment temperature, both being degrees Celsius; the unit of the operating environment wind speed is the same as that of the reference operating environment wind speed, both being meters per second. For the cooling tower operation quantification data, the cooling tower water outlet flow rate and the cooling tower water outlet temperature are obtained through the flow sensor and the temperature sensor deployed at the water outlet of the cooling tower, and the cooling tower fan power is obtained through the fan power sensor deployed at the power input end of the cooling tower fan.

[0035] Among them, before the design of an intelligent monitoring system for the cooling tower water outlet of a central air conditioner provided in this application, a database for storing various setting data is established. The database includes, but is not limited to, the environmental humidity, the environmental temperature, and the environmental wind speed, etc. The various values therein are directly set by technicians; for example, the reference operating environment humidity, the reference operating environment temperature, and the reference operating environment wind speed are represented by the results of respectively summing and averaging the collected historical environmental humidity, environmental temperature, and environmental wind speed.

[0036] After the data is obtained, statistical analysis is performed on the environmental interference quantification data and the cooling tower operation quantification data respectively through the AVERAGE function of Excel to obtain the average environmental interference data and the average cooling tower operation data. The average environmental interference data includes the average operating environment humidity, the average operating environment temperature, and the average operating environment wind speed. The average cooling tower operation data includes the average water outlet flow rate, the average water outlet temperature, and the average fan power. Both the cooling tower operation quantification data and the average cooling tower operation data are processed to remove the units.

[0037] A2. Perform humidity-water flow interaction processing on the average operating environment humidity ratio result and the cooling tower water outlet flow rate difference analysis result to obtain the water flow fluctuation coefficient. The humidity-water flow interaction processing is used to describe the interaction between the average operating environment humidity ratio result and the cooling tower water outlet flow rate difference analysis result, that is, the process of obtaining the water flow fluctuation coefficient after the average operating environment humidity ratio result and the cooling tower water outlet flow rate difference analysis result are coupled and calculated. The method for obtaining the water flow fluctuation coefficient is as follows:

[0038] ;

[0039] In the formula, represents the water flow fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval, represents the preset moment within the preset operation efficiency fluctuation monitoring time interval, , represents the total number of preset moments within the preset operation efficiency fluctuation monitoring time interval, represents the average operating environment humidity within the preset operation efficiency fluctuation monitoring time interval, represents the reference operating environment humidity, represents the cooling tower outlet water flow at the j-th preset moment within the preset operation efficiency fluctuation monitoring time interval, represents the average outlet water flow within the preset operation efficiency fluctuation monitoring time interval.

[0040] A3. Perform a temperature-water temperature interaction process on the average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result to obtain the temperature fluctuation coefficient. The temperature-water temperature interaction process is used to describe the interaction between the average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result, that is, the process of obtaining the temperature fluctuation coefficient after performing a coupling operation on the average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result. The method for obtaining the temperature fluctuation coefficient is as follows:

[0041] ;

[0042] In the formula, represents the temperature fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval, represents the average operating environment temperature within the preset operation efficiency fluctuation monitoring time interval, represents the reference operating environment temperature, represents the cooling tower outlet water temperature at the j-th preset moment within the preset operation efficiency fluctuation monitoring time interval, represents the average outlet water temperature within the preset operation efficiency fluctuation monitoring time interval.

[0043] A4. Perform a wind speed-fan power interaction process on the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result to obtain the fan power fluctuation coefficient. The wind speed-fan power interaction process is used to describe the interaction between the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result, that is, the process of obtaining the fan power fluctuation coefficient after performing a coupling operation on the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result. The method for obtaining the fan power fluctuation coefficient is as follows:

[0044] ;

[0045] In the formula, It represents the fan power fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval. It represents the average operating environment wind speed within the preset operation efficiency fluctuation monitoring time interval. It represents the reference operating environment wind speed. It represents the cooling tower fan power at the j-th preset moment within the preset operation efficiency fluctuation monitoring time interval. It represents the average fan power within the preset operation efficiency fluctuation monitoring time interval.

[0046] A5, perform a weighted operation on the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient with the corresponding fluctuation compensation values and then couple them to obtain the operation fluctuation determination value. The method for obtaining the operation fluctuation determination value is as follows:

[0047] ;

[0048] In the formula, It represents the operation fluctuation determination value within the preset operation efficiency fluctuation monitoring time interval. It represents the water flow fluctuation compensation value. It represents the temperature fluctuation compensation value. It represents the fan power fluctuation compensation value. It represents the water flow fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval. It represents the temperature fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval. It represents the fan power fluctuation coefficient within the preset operation efficiency fluctuation monitoring time interval.

[0049] It should be added that the operation fluctuation determination value is used to quantitatively evaluate the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower, representing the quantitative data of the combined influence of the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient on the operation efficiency fluctuation degree of the central air-conditioning cooling tower; among them, the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient all have an impact on the operation fluctuation determination value. Specifically, as the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient increase, the operation fluctuation determination value increases accordingly.

[0050] The fluctuation compensation values include the water flow rate fluctuation compensation value, the temperature fluctuation compensation value, and the fan power fluctuation compensation value; the water flow rate fluctuation compensation value, the temperature fluctuation compensation value, and the fan power fluctuation compensation value are respectively used to describe the influence degrees of the water flow rate fluctuation coefficient, the temperature fluctuation coefficient, and the fan power fluctuation coefficient on the operation fluctuation determination value. For example, the real-time water flow rate fluctuation coefficient, the temperature fluctuation coefficient, and the fan power fluctuation coefficient are input into the mapping set of the preset water flow rate fluctuation coefficient, the temperature fluctuation coefficient, the fan power fluctuation coefficient, and their respectively corresponding compensation values in the database to obtain the corresponding water flow rate fluctuation compensation value, the temperature fluctuation compensation value, and the fan power fluctuation compensation value.

[0051] In this embodiment, the operation fluctuation determination value includes parameters in multiple aspects, taking into account the correlation and mutual influence relationship among various parameters, and conducting comprehensive analysis through a quantitative method. For example, the change in humidity directly affects the evaporative cooling effect of the cooling tower. As the average operating environment humidity increases, the air is close to saturation, the evaporative cooling effect of the cooling tower decreases, and the deviation degree of the cooling tower outlet water flow rate from the average outlet water flow rate increases; the change in environmental temperature has a significant impact on the heat dissipation effect of the cooling tower. As the average operating environment temperature increases, the load of the cooling tower increases, and the outlet water temperature of the cooling tower rises accordingly. On the contrary, when the average operating environment temperature decreases, the outlet water temperature of the cooling tower decreases accordingly. The temperature change causes the working load of the cooling tower to change accordingly, resulting in fluctuations in the outlet water temperature of the cooling tower; at the same time, the change in environmental wind speed directly affects the fan power demand of the cooling tower. As the average operating environment wind speed increases, the natural ventilation effect of the cooling tower enhances, the fan power demand decreases, and the deviation degree of the cooling tower fan power from the average fan power increases.

[0052] Through the quantitative evaluation of the operation efficiency fluctuation degree of the central air-conditioning cooling tower, a more accurate evaluation of the operation efficiency fluctuation degree of the central air-conditioning cooling tower is realized, and further, the reliability of the intelligent monitoring of the outlet water based on the analysis of the operation efficiency fluctuation of the central air-conditioning cooling tower is improved.

[0053] Furthermore, the adjustment of the outlet water flow rate of the central air-conditioning cooling tower is carried out, and the specific process is as follows:

[0054] B1. Determine whether the obtained operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database; wherein, the preset fluctuation allowable threshold range is set by professionals according to the standards in the field. For example, the preset fluctuation allowable threshold range is set to be from 1.0 to 2.0.

[0055] B2. If the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, input the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold into the water outlet flow mapping set in the preset database for mapping to obtain the cooling tower regulated water outlet flow. The water outlet flow mapping set represents the mapping relationship between the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold and the cooling tower regulated water outlet flow. The reference operation fluctuation threshold is the result of summing and averaging the historical operation fluctuation determination values.

[0056] B3. If the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, input the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold into a PID (Proportional-Integral-Derivative) controller to obtain the optimized regulated water outlet flow of the cooling tower.

[0057] In this embodiment, by combining the preset fluctuation allowable threshold range to judge the operation efficiency fluctuation degree of the central air-conditioning cooling tower, the acquisition of the cooling tower regulated water outlet flow and the optimized regulated water outlet flow of the cooling tower corresponding to the operation efficiency fluctuation degree of the central air-conditioning cooling tower is realized. Furthermore, the optimization of the water outlet flow regulation in the intelligent water outlet monitoring process corresponding to the operation efficiency fluctuation degree of the central air-conditioning cooling tower is realized.

[0058] Furthermore, the specific process of collecting the water outlet quality data is as follows: When the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, collect the water outlet quality data at the optimized collection frequency. The optimized collection frequency represents the result of inputting the real-time operation fluctuation determination value into the collection frequency mapping set in the preset database for mapping. The collection frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the optimized collection frequency.

[0059] When the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, collect the water outlet quality data at the adjusted collection frequency. The adjusted collection frequency represents the result of inputting the real-time operation fluctuation determination value into the adjustment frequency mapping set in the preset database for mapping. The adjustment frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the adjusted collection frequency.

[0060] Among them, the water outlet quality data includes the water outlet pH value, the water outlet conductivity, the water outlet hardness, and the water outlet dissolved oxygen content. Specifically, the water outlet pH value, the water outlet conductivity, the water outlet hardness, and the water outlet dissolved oxygen content are obtained through a pH sensor, a conductivity sensor, a water hardness sensor, and a dissolved oxygen sensor deployed at the water outlet of the cooling tower.

[0061] In this embodiment, the water quality data of the outlet water is collected by judging to optimize the collection frequency or adjust the collection frequency. Among them, when the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, it indicates that the collection of the outlet water quality data can be correspondingly reduced. Therefore, the water quality data of the outlet water is collected by optimizing the collection frequency. Similarly, when the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, it indicates that it is necessary to further correspondingly increase the collection of the outlet water quality data to ensure the accurate monitoring of the outlet water quality data. Therefore, the water quality data of the outlet water is collected by adjusting the collection frequency. The optimization of the collection of the outlet water quality data under the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower is realized, and further, the reliability of the collection of the outlet water quality data in the intelligent monitoring process of the outlet water of the central air-conditioning cooling tower is improved.

[0062] Furthermore, the water quality of the outlet water of the central air-conditioning cooling tower is monitored based on the outlet water quality data. The specific steps are as follows:

[0063] C1. Obtain the outlet water quality monitoring data at the preset outlet water quality monitoring moments within the preset time interval, perform a difference analysis on the outlet water quality monitoring data and the corresponding water quality reference data, and then combine it with the difference analysis result of the corresponding reference maximum water quality data for a proportion analysis to obtain the corresponding water quality monitoring deviation score.

[0064] The water quality monitoring deviation score includes the outlet water pH monitoring deviation score, the outlet water conductivity deviation score, the outlet water hardness monitoring deviation score, and the dissolved oxygen monitoring deviation score. The method for obtaining the water quality monitoring deviation score is as follows:

[0065] ;

[0066] ;

[0067] ;

[0068] ;

[0069] wherein, represents the preset outlet water quality monitoring moment within the preset time interval, , represents the total number of preset moments within the preset operation efficiency fluctuation monitoring time interval, represents the outlet water pH monitoring deviation score at the m-th preset outlet water quality monitoring moment within the preset time interval, represents the outlet water conductivity deviation score at the m-th preset outlet water quality monitoring moment within the preset time interval, represents the outlet water hardness monitoring deviation score at the m-th preset outlet water quality monitoring moment within the preset time interval, Denote the dissolved oxygen monitoring deviation score at the m-th preset effluent water quality monitoring moment within the preset time interval. Denote the monitored effluent pH value at the m-th preset effluent water quality monitoring moment within the preset time interval. Denote the reference effluent pH. Denote the reference maximum effluent pH. Denote the monitored effluent conductivity at the m-th preset effluent water quality monitoring moment within the preset time interval. Denote the reference effluent conductivity. Denote the reference maximum effluent conductivity. Denote the monitored effluent hardness at the m-th preset effluent water quality monitoring moment within the preset time interval. Denote the reference effluent hardness. Denote the reference maximum effluent hardness. Denote the monitored effluent dissolved oxygen at the m-th preset effluent water quality monitoring moment within the preset time interval. Denote the reference effluent dissolved oxygen. Denote the reference maximum effluent dissolved oxygen.

[0070] It should be added that the effluent water quality monitoring data includes the monitored effluent pH value, the monitored effluent conductivity, the monitored effluent hardness, and the monitored effluent dissolved oxygen; the effluent water quality monitoring data is the effluent water quality data at the preset effluent water quality monitoring moments within the preset time interval; the unit of the monitored effluent conductivity is the same as that of the reference effluent conductivity and the reference maximum effluent conductivity, both being microsiemens per centimeter; the unit of the monitored effluent hardness is the same as that of the reference effluent hardness and the reference maximum effluent hardness, both being milligrams per liter; the unit of the monitored effluent dissolved oxygen is the same as that of the reference effluent dissolved oxygen and the reference maximum effluent dissolved oxygen, both being milligrams per liter.

[0071] The water quality reference data includes the reference effluent pH, the reference effluent conductivity, the reference effluent hardness, and the reference effluent dissolved oxygen; the reference effluent pH, the reference effluent conductivity, the reference effluent hardness, and the reference effluent dissolved oxygen are represented by the results of summing and averaging the collected historical monitored effluent pH values, monitored effluent conductivities, monitored effluent hardnesses, and monitored effluent dissolved oxygen respectively.

[0072] The reference maximum water quality data includes the reference maximum effluent pH, the reference maximum effluent conductivity, the reference maximum effluent hardness, and the reference maximum effluent dissolved oxygen; the reference maximum effluent pH, the reference maximum effluent conductivity, the reference maximum effluent hardness, and the reference maximum effluent dissolved oxygen are represented by the maximum values of the collected historical monitored effluent pH values, monitored effluent conductivities, monitored effluent hardnesses, and monitored effluent dissolved oxygen respectively.

[0073] C2, perform weighted operation on the obtained water quality monitoring offset score and the corresponding monitoring compensation value, and then perform coupled averaging processing to obtain the water quality monitoring determination value. The method for obtaining the water quality monitoring determination value is as follows:

[0074] ;

[0075] In the formula, represents the water quality monitoring determination value within a preset time interval, represents the pH monitoring compensation value, represents the conductivity monitoring compensation value, represents the hardness monitoring compensation value, represents the dissolved oxygen monitoring compensation value, represents the effluent pH monitoring offset score at the m-th preset effluent water quality monitoring moment within a preset time interval, represents the effluent conductivity offset score at the m-th preset effluent water quality monitoring moment within a preset time interval, represents the effluent hardness monitoring offset score at the m-th preset effluent water quality monitoring moment within a preset time interval, represents the dissolved oxygen monitoring offset score at the m-th preset effluent water quality monitoring moment within a preset time interval.

[0076] It should be added that the water quality monitoring determination value is used to quantitatively evaluate the deterioration degree of the effluent water quality of the central air-conditioning cooling tower; specifically, the water quality monitoring determination value represents the quantitative data of the effluent pH monitoring offset score, the effluent conductivity offset score, the effluent hardness monitoring offset score, and the dissolved oxygen monitoring offset score for evaluating the deterioration degree of the effluent water quality of the central air-conditioning cooling tower; the monitoring compensation value includes the pH monitoring compensation value, the conductivity monitoring compensation value, the hardness monitoring compensation value, and the dissolved oxygen monitoring compensation value; it is obtained from the preset database. For example, by inputting the real-time effluent pH monitoring offset score, the effluent conductivity offset score, the effluent hardness monitoring offset score, and the dissolved oxygen monitoring offset score into the mapping set of the preset effluent pH monitoring offset score, the effluent conductivity offset score, the effluent hardness monitoring offset score, and the dissolved oxygen monitoring offset score and their corresponding compensation values in the database, the corresponding pH monitoring compensation value, conductivity monitoring compensation value, hardness monitoring compensation value, and dissolved oxygen monitoring compensation value can be obtained.

[0077] It should be understood that with the increase of the outlet pH monitoring offset score (i.e., the deviation of the monitored outlet water pH value from the reference outlet water pH increases), the outlet water conductivity offset score (i.e., the deviation of the monitored outlet water conductivity from the reference outlet water conductivity increases), the outlet water hardness monitoring offset score (i.e., the deviation of the monitored outlet water hardness from the reference outlet water hardness increases), and the dissolved oxygen monitoring offset score (i.e., the deviation of the monitored outlet water dissolved oxygen from the reference outlet water dissolved oxygen increases), the water quality monitoring judgment value increases accordingly, that is, the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower increases.

[0078] In this embodiment, the water quality monitoring judgment value includes multiple parameters, taking into account the correlation and mutual influence between the various parameters, and performing a comprehensive analysis in a quantitative manner. For example, as the hardness of the monitored outlet water increases, the concentration of dissolved ions in the water (such as calcium ions, magnesium ions and other cations) increases, thereby increasing the conductivity of the monitored outlet water. The increase in the conductivity of the monitored outlet water may further affect the chemical balance of the outlet water quality, that is, as the outlet water hardness monitoring offset score increases, the outlet water conductivity offset score also increases, which in turn leads to the outlet water quality of the central air-conditioning cooling tower. As the degree of deterioration increases, the water quality monitoring judgment value increases accordingly; in addition, as the outlet pH monitoring offset score increases, that is, the deviation degree between the monitored outlet pH value and the reference outlet pH increases, it indicates that the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower increases. In acidic water (that is, as the monitored outlet pH value decreases), since the oxygen in the acidic water body is more likely to combine with water molecules to form dissolved oxygen, the solubility of dissolved oxygen is higher, that is, the deviation degree between the monitored outlet dissolved oxygen and the reference outlet dissolved oxygen increases, and the dissolved oxygen monitoring offset score increases accordingly, which in turn leads to an increase in the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower.

[0079] The outlet water quality of the central air-conditioning cooling tower is monitored through the outlet water quality data, which enables quantitative analysis of the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower, thereby improving the accuracy of outlet water quality assessment and management during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0080] Furthermore, the specific process for obtaining the water quality warning analysis results is: judging whether the degree of deviation between the obtained water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database; wherein, the reference water quality safety threshold is the result of summing and averaging the historical water quality monitoring judgment values, and the preset water quality safety allowable range is set by professionals according to the standards in the field, for example, the preset water quality safety allowable range is set to 5 to 10.

[0081] If the degree of deviation between the water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database, the water quality warning analysis result will be recorded as qualified water quality.

[0082] If the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold is not within the preset water quality safety allowable range obtained from the preset database, the water quality warning analysis result is recorded as a water quality warning.

[0083] In this embodiment, by combining the preset water quality safety allowable range to judge the water quality monitoring determination value, the further judgment of the water quality of the central air-conditioning cooling tower water outlet is realized, and then the reliability of the water quality warning analysis result in the intelligent monitoring process of the central air-conditioning cooling tower water outlet is improved.

[0084] Furthermore, the specific steps for optimizing the water replenishment and drainage of the central air-conditioning cooling tower water outlet in combination with the water quality warning analysis result are as follows:

[0085] D1. When the water quality warning analysis result is a water quality warning, determine whether the obtained water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database; the reference water quality warning threshold is set by professionals according to the standards in the field. For example, the reference water quality warning threshold is set to 3.

[0086] D2. If the water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database, perform water quality warning drainage and replenishment optimization on the central air-conditioning cooling tower water outlet.

[0087] It should be added that for the water quality warning drainage and replenishment optimization, the specific process is as follows: when the water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database, input the deviation degree between the water quality monitoring determination value and the reference water quality warning threshold into the warning drainage and replenishment mapping set in the preset database for mapping to obtain the warning drainage ratio; input the warning drainage ratio into the drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding warning water replenishment ratio.

[0088] Perform water quality replenishment and drainage according to the warning drainage ratio and the warning water replenishment ratio. Water quality replenishment and drainage refers to draining the cooling tower according to the warning drainage ratio and then replenishing the cooling tower with water in combination with the warning water replenishment ratio.

[0089] The warning drainage and replenishment mapping set represents the mapping relationship between the deviation degree of the water quality monitoring determination value and the reference water quality warning threshold and the warning drainage ratio, and the drainage and replenishment ratio mapping set represents the mapping relationship between the warning drainage ratio and the warning water replenishment ratio.

[0090] D3. If the water quality detection determination value is not greater than the reference water quality warning threshold obtained from the preset database, perform step-by-step water quality replenishment and drainage optimization on the central air-conditioning cooling tower water outlet.

[0091] It should be added that for the step-by-step discharge and make-up optimization of the effluent quality, the specific process is as follows: when the determined value of the water quality monitoring is not greater than the reference water quality warning threshold obtained from the preset database, the deviation degree between the determined value of the water quality monitoring and the reference water quality safety threshold is input into the primary discharge and make-up mapping set in the preset database for mapping to obtain the primary drainage ratio. The primary discharge and make-up mapping set represents the mapping relationship between the deviation degree of the determined value of the water quality monitoring and the reference water quality safety threshold and the primary drainage ratio.

[0092] The primary drainage ratio is input into the primary discharge and make-up ratio mapping set in the preset database for mapping to obtain the corresponding primary make-up ratio. The primary discharge and make-up ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary make-up ratio.

[0093] Based on the primary drainage ratio and the primary make-up ratio, primary discharge and make-up of the effluent quality are carried out to obtain the determined value of the primary water quality monitoring after discharging and making up the effluent quality according to the primary drainage ratio and the primary make-up ratio. The primary discharge and make-up of the effluent quality refers to discharging water from the cooling tower according to the primary drainage ratio and then making up water to the cooling tower in combination with the primary make-up ratio.

[0094] Judge whether the deviation degree between the determined value of the primary water quality monitoring and the reference water quality safety threshold is within the preset water quality safety allowable range. If the deviation degree between the determined value of the primary water quality monitoring and the reference water quality safety threshold is within the preset water quality safety allowable range, stop the step-by-step discharge and make-up optimization of the effluent quality.

[0095] Otherwise, carry out discharge and make-up of the effluent quality based on the level drainage ratio and the level make-up ratio that increase in an orderly manner, and obtain the determined value of the level water quality monitoring after step-by-step discharge and make-up of the effluent quality until the deviation degree between the determined value of the level water quality monitoring and the reference water quality safety threshold is within the preset water quality safety allowable range.

[0096] In this embodiment, the discharge and make-up optimization of the effluent quality includes the warning discharge and make-up optimization of the effluent quality and the step-by-step discharge and make-up optimization of the effluent quality. Among them, when the determined value of the water quality monitoring is greater than the reference water quality warning threshold obtained from the preset database, it indicates that the deterioration degree of the effluent quality of the corresponding central air-conditioning cooling tower needs to be urgently treated. Therefore, discharge and make-up of the effluent quality are carried out with the warning drainage ratio and the warning make-up ratio. Similarly, when the determined value of the water quality monitoring is not greater than the reference water quality warning threshold obtained from the preset database, it indicates that the deterioration degree of the effluent quality of the corresponding central air-conditioning cooling tower can be corresponding to carry out step-by-step discharge and make-up of the effluent quality according to the level drainage ratio and the level make-up ratio that increase in an orderly manner to carry out effective water quality optimization. By combining the water quality warning analysis results to carry out discharge and make-up optimization of the effluent quality of the central air-conditioning cooling tower, the discharge and make-up optimization management corresponding to when the water quality warning analysis result is a water quality warning is realized, and further, the effluent quality management in the intelligent monitoring process of the central air-conditioning cooling tower effluent is realized more efficiently.

[0097] Such asFigure 2 As shown in the figure, it is a flowchart of an intelligent monitoring method for the outlet water of a central air-conditioning cooling tower provided by an embodiment of the present application. The method includes the following steps: Step 1, operation fluctuation analysis: Analyze the operation efficiency fluctuation of the central air-conditioning cooling tower, and based on the result of the fluctuation analysis, adjust the outlet water flow of the central air-conditioning cooling tower and collect the outlet water quality data; Step 2, outlet water quality monitoring: Monitor the outlet water quality of the central air-conditioning cooling tower based on the outlet water quality data to obtain the water quality warning analysis result; Step 3, water quality discharge and makeup optimization: Combine the water quality warning analysis result to optimize the outlet water quality discharge and makeup of the central air-conditioning cooling tower. The outlet water quality discharge and makeup optimization means discharging and making up water based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0098] In summary, the embodiment of the present application analyzes the operation efficiency fluctuation of the central air-conditioning cooling tower, and based on the result of the fluctuation analysis, adjusts the outlet water flow of the central air-conditioning cooling tower and collects the outlet water quality data. Then, it monitors the outlet water quality of the central air-conditioning cooling tower, and finally combines the water quality warning analysis result to optimize the outlet water quality discharge and makeup of the central air-conditioning cooling tower, thereby realizing the fluctuation analysis of the operation efficiency of the central air-conditioning cooling tower, as well as the outlet water quality monitoring and the outlet water quality discharge and makeup optimization. Furthermore, it realizes more efficient outlet water quality management in the intelligent monitoring process of the central air-conditioning cooling tower outlet water, and effectively solves the problem in the prior art that the interaction between water quality and operation is not considered in the outlet water quality management during the intelligent monitoring process of the central air-conditioning cooling tower outlet water.

[0099] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0100] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate for realizing in the process Figure 1 one process or multiple processes and / or blocks Figure 1means for the functions specified in one or more blocks.

[0101] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in one Figure 1 one or more processes and / or blocks Figure 1 one or more blocks.

[0102] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one Figure 1 one or more processes and / or blocks Figure 1 one or more blocks.

[0103] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0104] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent monitoring system for the outlet water of a central air-conditioning cooling tower, characterized in that, Including: An operation fluctuation analysis module, an effluent water quality monitoring module, and a water quality discharge and makeup optimization module; The operation fluctuation analysis module is used to perform fluctuation analysis on the operation efficiency of the central air-conditioning cooling tower, and based on the results of the fluctuation analysis, adjust the effluent water flow of the central air-conditioning cooling tower and collect effluent water quality data; The effluent water quality monitoring module is used to monitor the effluent water quality of the central air-conditioning cooling tower based on the effluent water quality data to obtain a water quality warning analysis result; The water quality discharge and makeup optimization module is used to optimize the effluent water quality discharge and makeup of the central air-conditioning cooling tower in combination with the water quality warning analysis result, and the effluent water quality discharge and makeup optimization means performing effluent discharge and makeup based on the water quality warning analysis result to improve the effluent water quality of the central air-conditioning cooling tower; The specific steps for performing fluctuation analysis on the operation efficiency of the central air-conditioning cooling tower are as follows: Obtain environmental interference quantification data and cooling tower operation quantification data within a preset operation efficiency fluctuation monitoring time interval, where the environmental interference quantification data includes the operation environment humidity, operation environment temperature, and operation environment wind speed, and the cooling tower operation quantification data includes the cooling tower effluent water flow, cooling tower effluent water temperature, and cooling tower fan power; Perform statistical analysis on the environmental interference quantification data and the cooling tower operation quantification data respectively to obtain average environmental interference data and average cooling tower operation data. The average environmental interference data includes the average operation environment humidity, average operation environment temperature, and average operation environment wind speed, and the average cooling tower operation data includes the average effluent water flow, average effluent water temperature, and average fan power. Both the cooling tower operation quantification data and the average cooling tower operation data have undergone de-unitization processing; Perform humidity-water flow interaction processing on the average operation environment humidity ratio result and the cooling tower effluent water flow difference analysis result to obtain a water flow fluctuation coefficient. The humidity-water flow interaction processing is used to describe the interaction between the average operation environment humidity ratio result and the cooling tower effluent water flow difference analysis result; Perform temperature-water temperature interaction processing on the average operation environment temperature ratio result and the cooling tower effluent water temperature difference analysis result to obtain a temperature fluctuation coefficient. The temperature-water temperature interaction processing is used to describe the interaction between the average operation environment temperature ratio result and the cooling tower effluent water temperature difference analysis result; Perform wind speed-fan power interaction processing on the average operation environment wind speed ratio result and the cooling tower fan power difference analysis result to obtain a fan power fluctuation coefficient. The wind speed-fan power interaction processing is used to describe the interaction between the average operation environment wind speed ratio result and the cooling tower fan power difference analysis result; Perform weighted operation on the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient with the corresponding fluctuation compensation values and then perform coupling processing to obtain an operation fluctuation determination value. The operation fluctuation determination value is used to quantitatively evaluate the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower; The operation fluctuation determination value represents the quantitative data of the combined influence of the water flow fluctuation coefficient, temperature fluctuation coefficient, and fan power fluctuation coefficient on the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower; The fluctuation compensation value includes the water flow rate fluctuation compensation value, the temperature fluctuation compensation value, and the fan power fluctuation compensation value.

2. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 1, wherein, The process of adjusting the cooling tower water outlet flow rate of the central air conditioner is as follows: Determine whether the obtained operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database; If the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, map it based on the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value into the water outlet flow rate mapping set in the preset database to obtain the cooling tower adjusted water outlet flow rate. The water outlet flow rate mapping set represents the mapping relationship between the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value and the cooling tower adjusted water outlet flow rate; If the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, input the deviation degree between the operation fluctuation determination value and the reference operation fluctuation threshold value into the PID controller together to obtain the optimized cooling tower adjusted water outlet flow rate.

3. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 1, wherein, The process of collecting the water outlet quality data is as follows: When the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, collect the water outlet quality data at the optimized collection frequency; The optimized collection frequency represents the result of mapping the real-time operation fluctuation determination value into the collection frequency mapping set in the preset database. The collection frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the optimized collection frequency; When the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, collect the water outlet quality data at the adjusted collection frequency; The adjusted collection frequency represents the result of mapping the real-time operation fluctuation determination value into the adjustment frequency mapping set in the preset database. The adjustment frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the adjusted collection frequency; The water outlet quality data includes the water outlet pH value, the water outlet conductivity, the water outlet hardness, and the water outlet dissolved oxygen content.

4. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 3, characterized in that, The steps for monitoring the water quality of the cooling tower water outlet of the central air conditioner based on the water outlet quality data are as follows: Obtain the water outlet quality monitoring data at the preset water outlet quality monitoring time points within the preset time interval, perform difference analysis on the water outlet quality monitoring data and the corresponding water quality reference data, and then combine the difference analysis results with the corresponding reference maximum water quality data for proportion analysis to obtain the corresponding water quality monitoring deviation score; The water outlet quality monitoring data includes the monitored water outlet pH value, the monitored water outlet conductivity, the monitored water outlet hardness, and the monitored water outlet dissolved oxygen; The water quality monitoring deviation score includes the water outlet pH monitoring deviation score, the water outlet conductivity deviation score, the water outlet hardness monitoring deviation score, and the dissolved oxygen monitoring deviation score; Perform weighted operation on the obtained water quality monitoring deviation score and the corresponding monitoring compensation value, and then perform coupled averaging processing to obtain the water quality monitoring determination value. The monitoring compensation value includes the pH monitoring compensation value, the conductivity monitoring compensation value, the hardness monitoring compensation value, and the dissolved oxygen monitoring compensation value; The water quality monitoring determination value is used to quantitatively evaluate the deterioration degree of the water quality of the cooling tower water outlet of the central air conditioner; The water quality monitoring determination value represents the quantitative data for evaluating the deterioration degree of the outlet water quality of the central air-conditioning cooling tower by the outlet water pH monitoring deviation score, the outlet water conductivity deviation score, the outlet water hardness monitoring deviation score, and the dissolved oxygen monitoring deviation score.

5. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 4, wherein The specific process for obtaining the water quality warning analysis result is as follows: Judge whether the deviation degree between the obtained water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database; If the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range obtained from the preset database, record the water quality warning analysis result as qualified water quality; If the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold is not within the preset water quality safety allowable range obtained from the preset database, record the water quality warning analysis result as water quality warning.

6. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 5, wherein The specific steps for optimizing the water intake and discharge of the outlet water quality of the central air-conditioning cooling tower by combining the water quality warning analysis result are as follows: When the water quality warning analysis result is water quality warning, judge whether the obtained water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database; If the water quality monitoring determination value is greater than the reference water quality warning threshold obtained from the preset database, perform the water intake and discharge optimization for water quality warning of the outlet water quality of the central air-conditioning cooling tower; If the water quality detection determination value is not greater than the reference water quality warning threshold obtained from the preset database, perform the step-by-step water intake and discharge optimization for the outlet water quality of the central air-conditioning cooling tower; The water intake and discharge optimization of the outlet water quality includes the water intake and discharge optimization for water quality warning and the step-by-step water intake and discharge optimization for the outlet water quality.

7. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 6, wherein, The specific process for performing the water intake and discharge optimization for water quality warning is as follows: Input the deviation degree between the water quality monitoring determination value and the reference water quality warning threshold into the warning water intake and discharge mapping set in the preset database for mapping to obtain the warning drainage ratio; Input the warning drainage ratio into the water intake and discharge ratio mapping set in the preset database for mapping to obtain the corresponding warning water replenishment ratio; Perform the water intake and discharge of the outlet water quality according to the warning drainage ratio and the warning water replenishment ratio. The water intake and discharge of the outlet water quality refers to draining the cooling tower according to the warning drainage ratio and then replenishing the cooling tower with water in combination with the warning water replenishment ratio; The warning water intake and discharge mapping set represents the mapping relationship between the deviation degree of the water quality monitoring determination value and the reference water quality warning threshold and the warning drainage ratio, and the water intake and discharge ratio mapping set represents the mapping relationship between the warning drainage ratio and the warning water replenishment ratio.

8. The intelligent monitoring system for the outlet water of a central air-conditioning cooling tower according to claim 6, characterized in that, The specific process for performing the step-by-step water intake and discharge optimization for the outlet water quality is as follows: Input the deviation degree between the water quality monitoring determination value and the reference water quality safety threshold into the primary water intake and discharge mapping set in the preset database for mapping to obtain the primary drainage ratio. The primary water intake and discharge mapping set represents the mapping relationship between the deviation degree of the water quality monitoring determination value and the reference water quality safety threshold and the primary drainage ratio; Input the primary drainage ratio into the primary water intake and discharge ratio mapping set in the preset database for mapping to obtain the corresponding primary water replenishment ratio. The primary water intake and discharge ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary water replenishment ratio; Perform primary effluent water quality drainage and replenishment according to the primary drainage ratio and the primary replenishment ratio, and obtain the primary water quality monitoring determination value after the effluent water quality drainage and replenishment with the primary drainage ratio and the primary replenishment ratio. The primary effluent water quality drainage and replenishment refers to draining the cooling tower according to the primary drainage ratio and then replenishing the cooling tower in combination with the primary replenishment ratio. Judge whether the deviation degree between the primary water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range. If the deviation degree between the primary water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range, stop the step-by-step optimization of the effluent water quality drainage and replenishment. Otherwise, perform the effluent water quality drainage and replenishment based on the orderly increasing level drainage ratio and level replenishment ratio, and obtain the level water quality monitoring determination value after the step-by-step effluent water quality drainage and replenishment until the deviation degree between the level water quality monitoring determination value and the reference water quality safety threshold is within the preset water quality safety allowable range.

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