Intelligent water outlet monitoring system and method for central air-conditioning cooling tower

Abstract

The invention discloses an intelligent monitoring system and method for outlet water of a central air-conditioning cooling tower, and relates to the technical field of cooling tower outlet water quality monitoring. The intelligent outlet water monitoring system for the central air-conditioning cooling tower comprises an operation fluctuation analysis module, an outlet water quality monitoring module and a water quality discharge and supplement optimization module. According to the invention, fluctuation analysis is carried out on the operation efficiency of the central air-conditioning cooling tower, the outlet water flow of the central air-conditioning cooling tower is adjusted and the outlet water quality data is collected based on the fluctuation analysis result, and then the water quality of the outlet water of the central air-conditioning cooling tower is monitored. And finally, combining a water quality warning analysis result to carry out effluent water quality discharge compensation optimization on the effluent water quality of the central air-conditioning cooling tower so as to realize more efficient effluent water quality management in the intelligent effluent water monitoring process of the central air-conditioning cooling tower. The problem that in the prior art, interaction between water quality and operation is not considered when the water quality of the outlet water is managed in the intelligent monitoring process of the outlet water of the central air conditioner cooling tower is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling tower outlet water quality monitoring, and in particular to an outlet water intelligent monitoring system and method for a central air-conditioning cooling tower. Background Art

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

[0003] The existing central air conditioning cooling tower outlet water monitoring monitors the basic parameters of the cooling tower outlet water temperature, flow rate and pressure in real time to ensure that the central air conditioner can efficiently exchange heat and maintain stable operation. Compared with basic temperature, flow rate and pressure monitoring, 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. Outlet water quality monitoring uses a variety of sensors (such as pH, turbidity, dissolved oxygen, conductivity, etc.) to achieve real-time monitoring of water quality. Combined with the Internet of Things and automated control systems, it can achieve remote monitoring, early warning and intelligent optimization.

[0004] For example, the invention patent with announcement number: CN114370696B announces a central air-conditioning cooling tower outlet water temperature control method based on DS evidence theory, including: collecting different types of sensor parameters during the operation of the central air-conditioning system, and using them as original sample data reflecting the cooling tower outlet water temperature; obtaining an input data set after preprocessing and principal component analysis and correlation analysis of the original sample data, and inputting it into various intelligent prediction algorithms for training to obtain multiple corresponding cooling tower outlet water temperature prediction models; using DS evidence theory to extract and fuse the prediction results of multiple cooling tower outlet water temperature prediction models to obtain the final cooling tower outlet water temperature prediction value; comparing the cooling tower outlet water temperature prediction value with the set cooling tower outlet water temperature value. If there is any inconsistency, the cooling water system energy consumption is used as the objective function, constraints are set, and an intelligent optimization algorithm is used to solve the operation frequency combination of the cooling water pump and the cooling tower fan with the optimal energy consumption.

[0005] For example, the invention patent with announcement number CN104089362B discloses a method and control device for maximizing the cooling efficiency of a central air-conditioning cooling water system, including: an information acquisition module, a cooling water pump control cabinet, and a cooling tower control cabinet are bidirectionally connected to a main controller through signal lines to achieve 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 condensing 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, the present application found that the above technology has at least the following technical problems: Cooling towers lower the water temperature through the cooling process. If the cooling tower is not operating stably or efficiently, the water temperature may not be fully controlled, which will affect the overall efficiency of the cooling system and may also cause water quality problems, such as a decrease in dissolved oxygen in the water. At the same time, since cooling towers are often exposed to the air, the water may be contaminated by bacteria and algae. The growth of bacteria and algae will accelerate the deterioration of water quality, which not only reduces the efficiency of the cooling tower, but may also cause health risks.

[0007] Another thing that needs to be considered is that without an effective basis for water quality management, cooling towers may need to drain and replenish water frequently, resulting in a waste of water resources. There is also the problem of not considering the interaction between water quality and operation when managing the outlet water quality during the intelligent monitoring of the outlet water of central air-conditioning cooling towers. Summary of the invention

[0008] The embodiment of the present application provides a central air-conditioning cooling tower outlet water intelligent monitoring system and method, thereby solving the problem in the prior art that the interaction between water quality and operation is not considered during the outlet water quality management during the central air-conditioning cooling tower outlet water intelligent monitoring process, and achieving more efficient outlet water quality management during the central air-conditioning cooling tower outlet water intelligent monitoring process.

[0009] The embodiment of the present application provides an intelligent monitoring system for 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 drainage and replenishment 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 adjust the outlet water flow of the central air-conditioning cooling tower and collect 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 a water quality warning analysis result; the water quality drainage and replenishment optimization module is used to optimize the outlet water quality drainage and replenishment of the outlet water of the central air-conditioning cooling tower in combination with the water quality warning analysis result, and the outlet water quality drainage and replenishment optimization means that outlet water drainage and replenishment are performed based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0010] 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-dimensioned. 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, and the fan power fluctuation coefficient with 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 effect 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.

[0011] Furthermore, the outlet water flow of the central air-conditioning cooling tower is regulated, and the specific process is: determine whether the obtained operation fluctuation judgment value is within the preset fluctuation allowable threshold range obtained from the preset database; if the operation fluctuation judgment value is within the preset fluctuation allowable threshold range obtained from the preset database, then based on the degree of deviation between the operation fluctuation judgment value and the reference operation fluctuation threshold, the outlet water flow mapping set in the preset database is input for mapping to obtain the cooling tower regulated outlet water flow, and the outlet water flow mapping set represents the mapping relationship between the operation fluctuation judgment value and the degree of deviation between the reference operation fluctuation threshold and the cooling tower regulated outlet water flow; if the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range obtained from the preset database, the operation fluctuation judgment value and the degree of deviation between the reference operation fluctuation threshold are input together into the PID controller to obtain the cooling tower regulated optimized outlet water flow.

[0012] Furthermore, the specific process for collecting the effluent water quality data is as follows: when the operation fluctuation judgment value is within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected with an optimized collection frequency; the optimized collection frequency represents the result of mapping the real-time operation fluctuation judgment 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 judgment value and the optimized collection frequency; when the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected with an adjusted collection frequency; the adjusted collection frequency represents the result of mapping the real-time operation fluctuation judgment 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 judgment value and the adjustment collection frequency; the effluent water quality data includes effluent pH value, effluent conductivity, effluent hardness and effluent dissolved oxygen content.

[0013] Furthermore, the outlet water quality of the central air-conditioning cooling tower is monitored based on the outlet water quality data, and the specific steps are as follows: obtain the outlet water quality monitoring data at the preset outlet water quality monitoring time within the preset time interval, perform difference analysis on the outlet water quality monitoring data and the corresponding water quality reference data, and then combine them with the corresponding reference maximum water quality data difference analysis results to perform proportion analysis to obtain the corresponding water quality monitoring offset score; the outlet water quality monitoring data includes monitoring the outlet water pH value, monitoring the outlet water conductivity, monitoring the outlet water hardness and monitoring the outlet water dissolved oxygen; the water quality monitoring offset score includes the outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness offset score, and the outlet water pH monitoring offset score. monitoring offset score and dissolved oxygen monitoring offset score; the obtained water quality monitoring offset score and the corresponding monitoring compensation value are weighted and then coupled and averaged to obtain the water quality monitoring judgment value, the monitoring compensation value includes pH monitoring compensation value, conductivity monitoring compensation value, hardness monitoring compensation value and dissolved oxygen monitoring compensation value; the water quality monitoring judgment value is used to quantitatively evaluate the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower; the water quality monitoring judgment value represents the quantitative data of the outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness monitoring offset score and the dissolved oxygen monitoring offset score for evaluating the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower.

[0014] Furthermore, the specific process for obtaining the water quality warning analysis result is: determine 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; 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 is recorded as qualified water quality; if the degree of deviation between the water quality monitoring judgment 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 water quality warning.

[0015] Furthermore, the specific steps for optimizing the outlet water quality of the central air-conditioning cooling tower in combination with the water quality warning analysis results are as follows: when the water quality warning analysis result is a water quality warning, determine whether the obtained water quality monitoring judgment value is greater than the reference water quality warning threshold value obtained from the preset database; if the water quality monitoring judgment value is greater than the reference water quality warning threshold value obtained from the preset database, then the outlet water quality of the central air-conditioning cooling tower is optimized by outlet water quality warning drainage; if the water quality detection judgment value is not greater than the reference water quality warning threshold value obtained from the preset database, then the outlet water quality of the central air-conditioning cooling tower is optimized by outlet water quality step by step drainage; the outlet water quality drainage optimization includes outlet water quality warning drainage optimization and outlet water quality step by step drainage optimization.

[0016] Furthermore, the effluent water quality warning drainage and replenishment optimization is carried out, and the specific process is as follows: the degree of deviation between the water quality monitoring judgment value and the reference water quality warning threshold is input into the warning drainage and replenishment mapping set in the preset database for mapping, and the warning drainage ratio is obtained; the warning drainage ratio is input into the drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding warning replenishment ratio; the effluent water quality drainage and replenishment is carried out according to the warning drainage ratio and the warning replenishment ratio, and the effluent water quality drainage and replenishment refers to the cooling tower drainage according to the warning drainage ratio and the cooling tower replenishment according to the warning replenishment ratio; the warning drainage and replenishment mapping set represents the mapping relationship between the degree of deviation between the water quality monitoring judgment 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 replenishment ratio.

[0017] Furthermore, the effluent water quality is optimized step by step, and the specific process is as follows: the degree of deviation between the water quality monitoring judgment value and the reference water quality safety threshold is input into the primary drainage and replenishment mapping set in the preset database for mapping, and the primary drainage ratio is obtained. The primary drainage ratio is input into the primary drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding primary replenishment ratio. The primary drainage and replenishment ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary replenishment ratio. The primary effluent water quality is drained and replenished according to the primary drainage ratio and the primary replenishment ratio, and the effluent water quality is obtained based on the primary drainage ratio and the primary replenishment ratio. The primary water quality monitoring judgment value after drainage and replenishment, the primary effluent water quality drainage and replenishment refers to the cooling tower replenishment after cooling tower drainage according to the primary drainage ratio and the primary replenishment ratio; judge whether the deviation degree between the primary water quality monitoring judgment 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 judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range, then stop the step-by-step drainage and replenishment optimization of the effluent water quality; otherwise, drainage and replenishment of the effluent water quality is carried out based on the orderly increased level drainage ratio and level replenishment ratio, and obtain the level water quality monitoring judgment value after step-by-step drainage and replenishment of the effluent water quality, until the deviation degree between the level water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range.

[0018] The embodiment of the present application provides an intelligent monitoring method for outlet water of a central air-conditioning cooling tower, comprising the following steps: step one, performing a fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, and adjusting the outlet water flow of the central air-conditioning cooling tower and collecting outlet water quality data based on the results of the fluctuation analysis; step two, monitoring 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; step three, optimizing the outlet water quality drainage and replenishment of the outlet water of the central air-conditioning cooling tower in combination with the water quality warning analysis result, and the outlet water quality drainage and replenishment optimization means performing outlet water drainage and replenishment based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Through the fluctuation analysis of the operation efficiency of the central air-conditioning cooling tower, and based on the results of the fluctuation analysis, the outlet water flow of the central air-conditioning cooling tower is adjusted and the outlet water quality data is collected, and then the outlet water quality of the central air-conditioning cooling tower is monitored. Finally, the outlet water quality of the central air-conditioning cooling tower is optimized based on the water quality warning analysis results, thereby realizing the fluctuation analysis of the operation efficiency of the central air-conditioning cooling tower, the outlet water quality monitoring, and the outlet water quality optimization, thereby realizing more efficient outlet water quality management in the process of intelligent monitoring of the outlet water of the central air-conditioning cooling tower, and effectively solving the problem in the prior art that the interaction between water quality and operation is not considered when managing the outlet water quality in the process of intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0020] 2. By judging whether the operation fluctuation judgment value is within the preset fluctuation allowable threshold range obtained from the preset database, if the operation fluctuation judgment value is within the preset fluctuation allowable threshold range, the outlet water quality data is collected with the optimized collection frequency; if the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range, the outlet water quality data is collected with the adjusted collection frequency, thereby realizing 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, and then realizing the improvement of the reliability of the outlet water quality data collection during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0021] 3. The corresponding water quality monitoring offset score is obtained by performing difference analysis between the outlet water quality monitoring data and the corresponding water quality reference data and combining the difference analysis results with the corresponding reference maximum water quality data for proportion analysis. The water quality monitoring offset score and the corresponding monitoring compensation value are then weighted and coupled for averaging to obtain the water quality monitoring judgment value, thereby achieving a quantitative assessment of the outlet water quality of the central air-conditioning cooling tower, and further achieving a more accurate assessment of the outlet water quality during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of the structure of a central air-conditioning cooling tower outlet water intelligent monitoring system provided in an embodiment of the present application; Figure 2 A flow chart of a method for intelligently monitoring water outlet from a central air-conditioning cooling tower provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The embodiment of the present application provides an intelligent monitoring system and method for the outlet water of a central air-conditioning cooling tower, which solves 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 replenishment of the central air-conditioning cooling tower outlet water quality 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.

[0024] The technical solution in the embodiment 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: 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 replenishment of the central air-conditioning cooling tower outlet water quality in combination with the water quality warning analysis result, the effect of more efficient intelligent monitoring of the outlet water quality during the operation of the central air-conditioning cooling tower is achieved.

[0025] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0026] 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 an embodiment of the present application. An intelligent monitoring system for the outlet water of a central air-conditioning cooling tower provided by an embodiment of the present application includes: an operation fluctuation analysis module, an outlet water quality monitoring module, and a water quality replenishment and 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 optimization module is used to optimize the outlet water replenishment of the central air-conditioning cooling tower outlet water quality in combination with the water quality warning analysis result, and the outlet water replenishment and optimization means performing outlet water replenishment based on the water quality warning analysis result to improve the outlet water quality of the central air-conditioning cooling tower.

[0027] In this embodiment, the central air conditioning cooling tower plays a vital 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 of the cooling tower directly affect the energy efficiency, equipment life and environmental protection of the central air conditioning. Therefore, it becomes very necessary to monitor the outlet water quality and analyze the operating efficiency of the central air conditioning cooling tower.

[0028] During the operation of the central air-conditioning cooling tower, changes in water quality may cause minerals in the water to deposit and form scale. The formation of scale not only reduces the heat exchange efficiency, but also causes corrosion to various components of the cooling tower, thereby affecting the long-term operation 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 exchange surface and reduce heat exchange efficiency, resulting in poor cooling effect of the central air-conditioning system. In many traditional central air-conditioning cooling tower outlet water intelligent monitoring processes, water quality monitoring mostly relies on manual inspections and lacks a real-time and accurate intelligent monitoring system, which makes it impossible to detect water quality changes in time and adjust the water treatment method in time according to actual conditions. Scaling, corrosion and microbial growth caused by water quality problems directly affect the operating efficiency of the cooling tower, thereby increasing energy consumption, equipment failure rate, operating costs, and bringing pressure on environmental protection and social responsibility. Therefore, in order to solve these problems, the algorithm of this application realizes the fluctuation analysis of the operating efficiency of the central air-conditioning cooling tower, as well as the monitoring and optimization 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 stringent environmental protection regulations, thereby promoting enterprises to move towards green and sustainable development.

[0029] Furthermore, the fluctuation analysis of the operating efficiency of the central air conditioning cooling tower is carried out. The specific steps are as follows: A1, obtain the environmental interference quantitative data and cooling tower operation quantitative data within the preset operation efficiency fluctuation monitoring time interval, the environmental interference quantitative data includes the operating environment humidity, the operating environment temperature and the operating environment wind speed, and the cooling tower operation quantitative data includes the cooling tower outlet water flow, the cooling tower outlet water temperature and the cooling tower fan power. Specifically, for the environmental interference quantitative data, the operating environment humidity, the operating environment temperature and the operating environment wind speed are obtained through the humidity sensor, temperature sensor and wind speed sensor deployed at the air inlet of the cooling tower. The operating environment humidity is consistent with the reference operating environment humidity unit, both are %RH; the operating environment temperature is consistent with the reference operating environment temperature unit, both are degrees Celsius; the operating environment wind speed is consistent with the reference operating environment wind speed unit, both are meters per second. For the cooling tower operation quantitative data, the cooling tower outlet water flow and cooling tower outlet water temperature are obtained through the flow sensor and temperature sensor deployed at the cooling tower outlet, and the cooling tower fan power is obtained through the fan power sensor deployed at the cooling tower fan power input end.

[0030] Among them, before the design of a central air-conditioning cooling tower water outlet intelligent monitoring system provided in the present application, a database for storing various setting data is established, and the database includes but is not limited to ambient humidity, ambient temperature, ambient wind speed, etc., and various numerical values ​​therein are directly set by technical personnel; for example, the reference operating ambient humidity, reference operating ambient temperature, and reference operating ambient wind speed are represented by summing and averaging the collected historical ambient humidity, ambient temperature, and ambient wind speed.

[0031] After data acquisition, the environmental interference quantitative data and cooling tower operation quantitative data were statistically analyzed using Excel's AVERAGE function to obtain average environmental interference data and cooling tower average operation data. The average environmental interference data included average operating environment humidity, average operating environment temperature, and average operating environment wind speed. The average cooling tower operation data included average water outlet flow, average water outlet temperature, and average fan power. Both the cooling tower operation quantitative data and the cooling tower average operation data were de-normalized.

[0032] A2, the average operating environment humidity percentage result and the cooling tower outlet water flow difference analysis result are subjected to humidity-water flow interaction processing to obtain the water flow fluctuation coefficient. Humidity-water flow interaction processing is used to describe the interaction between the average operating environment humidity percentage result and the cooling tower outlet water flow difference analysis result, that is, the process of obtaining the water flow fluctuation coefficient after coupling operation of the average operating environment humidity percentage result and the cooling tower outlet water flow difference analysis result. The method for obtaining the water flow fluctuation coefficient is as follows: ; In the formula, Indicates the water flow fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval, Indicates the preset time within the preset operating efficiency fluctuation monitoring time interval, , Indicates the total number of preset moments within the preset operating efficiency fluctuation monitoring time interval. Indicates the average operating environment humidity within the preset operating efficiency fluctuation monitoring time interval. Indicates the reference operating environment humidity, represents the cooling tower water flow rate at the jth preset time within the preset operating efficiency fluctuation monitoring time interval, Indicates the average water outflow rate within the preset operating efficiency fluctuation monitoring time interval.

[0033] A3, the average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result are subjected to temperature-water temperature interaction processing 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 outlet water temperature difference analysis result, that is, the process of obtaining the temperature fluctuation coefficient after coupling 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: ; In the formula, Indicates the temperature fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval, Indicates the average operating environment temperature within the preset operating efficiency fluctuation monitoring time interval. Indicates the reference operating environment temperature, represents the cooling tower outlet water temperature at the jth preset time within the preset operating efficiency fluctuation monitoring time interval, Indicates the average water outlet temperature within the preset operating efficiency fluctuation monitoring time interval.

[0034] A4, the average operating environment wind speed ratio result and the cooling tower fan power difference analysis result are subjected to wind speed-fan power interactive processing to obtain the fan power fluctuation coefficient. Wind speed-fan power interactive 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, that is, the process of obtaining the fan power fluctuation coefficient after coupling operation of 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: ; In the formula, Indicates the fan power fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval. Indicates the average operating environment wind speed within the preset operating efficiency fluctuation monitoring time interval. Indicates the reference operating environment wind speed, represents the cooling tower fan power at the jth preset time within the preset operating efficiency fluctuation monitoring time interval, Indicates the average fan power within the preset operating efficiency fluctuation monitoring time interval.

[0035] A5, weighted operation is performed on the water flow fluctuation coefficient, temperature fluctuation coefficient, fan power fluctuation coefficient and corresponding fluctuation compensation value, and then coupled to obtain the operation fluctuation determination value. The method for obtaining the operation fluctuation determination value is as follows: ; In the formula, Indicates the operation fluctuation judgment value within the preset operation efficiency fluctuation monitoring time interval. Indicates the water flow fluctuation compensation value, Indicates the temperature fluctuation compensation value, Indicates the fan power fluctuation compensation value, Indicates the water flow fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval, Indicates the temperature fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval, Indicates the fan power fluctuation coefficient within the preset operating efficiency fluctuation monitoring time interval.

[0036] It should be added that the operation fluctuation judgment value is used to quantitatively evaluate the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower, and represents the quantitative data of the fluctuation degree of the operation efficiency of the central air-conditioning cooling tower jointly affected by the water flow fluctuation coefficient, temperature fluctuation coefficient and fan power fluctuation coefficient; among them, the water flow fluctuation coefficient, temperature fluctuation coefficient and fan power fluctuation coefficient all have an impact on the operation fluctuation judgment value. Specifically, with the increase of the water flow fluctuation coefficient, temperature fluctuation coefficient and fan power fluctuation coefficient, the operation fluctuation judgment value increases accordingly.

[0037] The fluctuation compensation values ​​include water flow fluctuation compensation values, temperature fluctuation compensation values ​​and fan power fluctuation compensation values; the water flow fluctuation compensation values, temperature fluctuation compensation values ​​and fan power fluctuation compensation values ​​are respectively used to describe the influence of the water flow fluctuation coefficient, temperature fluctuation coefficient and fan power fluctuation coefficient on the operation fluctuation judgment value. For example, the real-time water flow fluctuation coefficient, temperature fluctuation coefficient and fan power fluctuation coefficient are input into the preset mapping set of water flow fluctuation coefficient, temperature fluctuation coefficient, fan power fluctuation coefficient and their corresponding compensation values ​​in the database to obtain the corresponding water flow fluctuation compensation value, temperature fluctuation compensation value and fan power fluctuation compensation value.

[0038] In this embodiment, the operation fluctuation determination value includes parameters of multiple aspects, taking into account the correlation and mutual influence between various parameters, and performing a comprehensive analysis in a quantitative manner. For example, humidity changes directly affect 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 degree of deviation between the cooling tower outlet water flow and the average outlet water flow increases accordingly; changes in ambient temperature have 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 cooling tower outlet water temperature increases accordingly. Conversely, when the average operating environment temperature decreases, the cooling tower outlet water temperature decreases accordingly. The temperature change causes the workload of the cooling tower to change accordingly, thereby causing the cooling tower outlet water temperature to fluctuate; at the same time, changes in ambient wind speed directly affect the fan power demand of the cooling tower. As the average operating environment wind speed increases, the natural ventilation effect of the cooling tower is enhanced, the fan power demand is reduced, and the degree of deviation between the cooling tower fan power and the average fan power increases accordingly.

[0039] By quantitatively evaluating the fluctuation degree of the operating efficiency of central air-conditioning cooling towers, a more accurate evaluation of the fluctuation degree of the operating efficiency of central air-conditioning cooling towers is achieved, thereby improving the reliability of intelligent monitoring of water outlets based on the fluctuation analysis of the operating efficiency of central air-conditioning cooling towers.

[0040] Furthermore, the water outlet flow of the central air-conditioning cooling tower is adjusted. The specific process is as follows: B1, judging 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 standards in the field, for example, setting the preset fluctuation allowable threshold range to 1.0 to 2.0.

[0041] B2. If the operation fluctuation judgment value is within the preset fluctuation allowable threshold range obtained from the preset database, the operation fluctuation judgment value and the reference operation fluctuation threshold deviation degree are input into the outlet water flow mapping set in the preset database for mapping to obtain the cooling tower regulated outlet water flow. The outlet water flow mapping set represents the mapping relationship between the operation fluctuation judgment value and the reference operation fluctuation threshold deviation degree and the cooling tower regulated outlet water flow. The reference operation fluctuation threshold is the result of summing and averaging the historical operation fluctuation judgment values.

[0042] B3, if the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range obtained from the preset database, the operation fluctuation judgment value and the deviation degree of the reference operation fluctuation threshold are input into the PID (Proportional-Integral-Derivative) controller to obtain the cooling tower regulation optimized water outlet flow.

[0043] In this embodiment, by judging the degree of fluctuation of the operating efficiency of the central air-conditioning cooling tower in combination with the preset fluctuation allowable threshold range, the cooling tower regulated water outlet flow and the cooling tower regulated optimized water outlet flow under the corresponding degree of fluctuation of the operating efficiency of the central air-conditioning cooling tower are obtained, thereby realizing the optimization of water outlet flow regulation in the intelligent monitoring process of water outlet under the corresponding degree of fluctuation of the operating efficiency of the central air-conditioning cooling tower.

[0044] Furthermore, the specific process of collecting the effluent water quality data is as follows: when the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected at the optimized collection frequency. The optimized collection frequency represents the result of mapping the real-time operation fluctuation determination value input to 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.

[0045] When the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected 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 adjustment collection frequency.

[0046] Among them, the outlet water quality data include outlet water pH value, outlet water conductivity, outlet water hardness and outlet water dissolved oxygen content; specifically, the outlet water pH value, outlet water conductivity, outlet water hardness and outlet water dissolved oxygen content are obtained by deploying pH sensors, conductivity sensors, water hardness sensors and dissolved oxygen sensors at the outlet of the cooling tower.

[0047] In this embodiment, the collection of the outlet water quality data is performed by judging whether to optimize the collection frequency or adjust the collection frequency, wherein, when the operation fluctuation judgment 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 reduced accordingly, and therefore, the collection of the outlet water quality data is performed with the optimized collection frequency; similarly, when the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range obtained from the preset database, it indicates that the collection of the outlet water quality data needs to be further increased accordingly to ensure accurate monitoring of the outlet water quality data, and therefore, the collection of the outlet water quality data is performed with the adjusted collection frequency; the collection optimization of the outlet water quality data under the corresponding fluctuation degree of the operating efficiency of the central air-conditioning cooling tower is achieved, thereby achieving 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.

[0048] Furthermore, the outlet water quality of the central air conditioning cooling tower is monitored based on the outlet water quality data. The specific steps are as follows: C1, obtain the effluent water quality monitoring data at the preset effluent water quality monitoring time within the preset time interval, perform difference analysis on the effluent water quality monitoring data and the corresponding water quality reference data, and then combine them with the corresponding reference maximum water quality data difference analysis results to perform proportion analysis to obtain the corresponding water quality monitoring deviation score.

[0049] The water quality monitoring offset score includes the effluent pH monitoring offset score, the effluent conductivity offset score, the effluent hardness monitoring offset score and the dissolved oxygen monitoring offset score. The method for obtaining the water quality monitoring offset score is as follows: ; ; ; ; In the formula, Indicates the preset outlet water quality monitoring time within the preset time interval. , Indicates the total number of preset moments within the preset operating efficiency fluctuation monitoring time interval. It represents the effluent pH monitoring deviation score at the mth preset effluent water quality monitoring moment within the preset time interval, represents the outlet water conductivity deviation score at the mth preset outlet water quality monitoring time within the preset time interval, represents the outlet water hardness monitoring offset score at the mth preset outlet water quality monitoring moment within the preset time interval, It represents the dissolved oxygen monitoring deviation score at the mth preset effluent water quality monitoring time within the preset time interval, Indicates the pH value of the monitored effluent at the mth preset effluent quality monitoring moment within the preset time interval, Indicates the reference water pH, Indicates the reference maximum outlet water pH, It represents the monitored outlet water conductivity at the mth preset outlet water quality monitoring time within the preset time interval, Indicates the reference water conductivity, Indicates the reference maximum outlet water conductivity, Indicates the monitored outlet water hardness at the mth preset outlet water quality monitoring time within the preset time interval, Indicates the reference water hardness. Indicates the maximum water hardness. It indicates the monitored effluent dissolved oxygen at the mth preset effluent water quality monitoring moment within the preset time interval. Indicates the reference effluent dissolved oxygen, Indicates the reference maximum outlet water dissolved oxygen.

[0050] It should be added that the effluent water quality monitoring data includes monitoring of effluent pH value, monitoring of effluent conductivity, monitoring of effluent hardness and monitoring of effluent dissolved oxygen; the effluent water quality monitoring data refers to the effluent water quality data at the preset effluent water quality monitoring moment within the preset time interval; the monitored effluent conductivity is consistent with the reference effluent conductivity and the reference maximum effluent conductivity in units of microSiemens per centimeter; the monitored effluent hardness is consistent with the reference effluent hardness and the reference maximum effluent hardness in units of milligrams per liter; the monitored effluent dissolved oxygen is consistent with the reference effluent dissolved oxygen and the reference maximum effluent dissolved oxygen in units of milligrams per liter.

[0051] The water quality reference data include reference effluent pH, reference effluent conductivity, reference effluent hardness and reference effluent dissolved oxygen; the reference effluent pH, reference effluent conductivity, reference effluent hardness and reference effluent dissolved oxygen are represented by summing and averaging the collected historical monitored effluent pH values, monitored effluent conductivity, monitored effluent hardness and monitored effluent dissolved oxygen.

[0052] The reference maximum water quality data include reference maximum effluent pH, reference maximum effluent conductivity, reference maximum effluent hardness and reference maximum effluent dissolved oxygen; the reference maximum effluent pH, reference maximum effluent conductivity, reference maximum effluent hardness and reference maximum effluent dissolved oxygen are represented by the maximum values ​​corresponding to the collected historical monitored effluent pH values, monitored effluent conductivity, monitored effluent hardness and monitored effluent dissolved oxygen, respectively.

[0053] C2, weighted calculation is performed on the obtained water quality monitoring deviation score and the corresponding monitoring compensation value, and then coupled and averaged to obtain the water quality monitoring judgment value. The method for obtaining the water quality monitoring judgment value is as follows: ; In the formula, Indicates the water quality monitoring judgment value within the preset time interval. Indicates pH monitoring compensation value, Indicates the conductivity monitoring compensation value, Indicates the hardness monitoring compensation value, Indicates the dissolved oxygen monitoring compensation value. It represents the effluent pH monitoring deviation score at the mth preset effluent water quality monitoring moment within the preset time interval, represents the outlet water conductivity deviation score at the mth preset outlet water quality monitoring time within the preset time interval, represents the outlet water hardness monitoring offset score at the mth preset outlet water quality monitoring moment within the preset time interval, Represents the dissolved oxygen monitoring offset score at the mth preset effluent water quality monitoring moment within the preset time interval.

[0054] It should be added that the water quality monitoring judgment value is used to quantitatively evaluate the degree of deterioration of the water quality of the central air-conditioning cooling tower outlet water; specifically, the water quality monitoring judgment value represents the quantitative data for evaluating the degree of deterioration of the water quality of the central air-conditioning cooling tower outlet water based on the outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness monitoring offset score and the dissolved oxygen monitoring offset score; 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 a preset database, for example, by inputting the real-time outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness monitoring offset score and the dissolved oxygen monitoring offset score into the preset outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness monitoring offset score and the dissolved oxygen monitoring offset score in the database and the mapping set of their corresponding compensation values ​​to obtain the corresponding pH monitoring compensation value, conductivity monitoring compensation value, hardness monitoring compensation value and dissolved oxygen monitoring compensation value.

[0055] It needs to be understood that with the increase of the outlet pH monitoring offset score (i.e. the increasing degree of deviation between the monitored outlet pH value and the reference outlet pH), the outlet conductivity offset score (i.e. the increasing degree of deviation between the monitored outlet conductivity and the reference outlet conductivity), the outlet hardness monitoring offset score (i.e. the increasing degree of deviation between the monitored outlet hardness and the reference outlet hardness), and the dissolved oxygen monitoring offset score (i.e. the increasing degree of deviation between the monitored outlet dissolved oxygen and the reference outlet dissolved oxygen), 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.

[0056] 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, it indicates that the concentration of dissolved ions in the water (such as cations such as calcium ions and magnesium ions) increases, thereby increasing the monitored outlet water conductivity. The increase in the monitored outlet water conductivity 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 increases, which in turn leads to an increase in the outlet water quality of the central air-conditioning cooling tower. The degree of deterioration increases, that is, the water quality monitoring judgment value increases accordingly; in addition, with the increase of the outlet pH monitoring offset score, that is, the deviation degree between the monitored outlet pH value and the reference outlet pH increases, indicating 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 easily combined 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.

[0057] 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.

[0058] Furthermore, the specific process for obtaining the water quality warning analysis results is: determine 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 standards in the field, for example, the preset water quality safety allowable range is set to 5 to 10.

[0059] 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.

[0060] If the degree of deviation between the water quality monitoring judgment 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 will be recorded as a water quality warning.

[0061] In this embodiment, by judging the water quality monitoring judgment value in combination with the preset water quality safety allowable range, further judgment of the water quality of the outlet water of the central air-conditioning cooling tower is achieved, thereby improving the reliability of the water quality warning analysis results during the intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0062] Furthermore, the specific steps for optimizing the outlet water quality of the central air-conditioning cooling tower combined with the water quality warning analysis results are as follows: D1, when the water quality warning analysis result is water quality warning, determine whether the water quality monitoring judgment value obtained 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.

[0063] D2, if the water quality monitoring judgment value is greater than the reference water quality warning threshold obtained from the preset database, the outlet water quality of the central air-conditioning cooling tower is optimized for the outlet water quality warning drainage.

[0064] It should be added that the specific process of optimizing the warning drainage and replenishment of the effluent water quality is as follows: when the water quality monitoring judgment value is greater than the reference water quality warning threshold value obtained from the preset database, the degree of deviation between the water quality monitoring judgment value and the reference water quality warning threshold value is input into the warning drainage and replenishment mapping set in the preset database for mapping to obtain the warning drainage ratio; the warning drainage ratio is input into the drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding warning replenishment ratio.

[0065] The effluent water quality is discharged and replenished according to the warning drainage ratio and the warning replenishment ratio. The effluent water quality discharge and replenishment 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 replenishment ratio.

[0066] The warning drainage and replenishment mapping set represents the mapping relationship between the deviation degree between the water quality monitoring judgment 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 replenishment ratio.

[0067] D3, if the water quality detection judgment value is not greater than the reference water quality warning threshold obtained from the preset database, the outlet water quality of the central air-conditioning cooling tower is optimized step by step.

[0068] It should be added that the discharge and replenishment optimization of the effluent water quality is carried out step by step. The specific process is as follows: when the water quality monitoring judgment value is not greater than the reference water quality warning threshold obtained from the preset database, the degree of deviation between the water quality monitoring judgment value and the reference water quality safety threshold is input into the primary discharge and replenishment mapping set in the preset database for mapping to obtain the primary discharge ratio. The primary discharge and replenishment mapping set represents the mapping relationship between the degree of deviation between the water quality monitoring judgment value and the reference water quality safety threshold and the primary discharge ratio.

[0069] The primary drainage ratio is input into the primary drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding primary replenishment ratio. The primary drainage and replenishment ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary replenishment ratio.

[0070] The primary effluent water quality is drained and replenished according to the primary drainage ratio and the primary make-up ratio, and the primary water quality monitoring judgment value is obtained after the effluent water quality is drained and replenished according to the primary drainage ratio and the primary make-up ratio. The primary effluent water quality drainage and replenishment refers to the cooling tower water replenishment after the cooling tower is drained according to the primary drainage ratio and combined with the primary make-up ratio.

[0071] Determine whether the deviation between the primary water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range. If the deviation between the primary water quality monitoring judgment 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.

[0072] Otherwise, the effluent water quality is discharged and replenished based on the orderly increasing level drainage ratio and level replenishment ratio, and the level water quality monitoring judgment value is obtained after the level effluent water quality is discharged and replenished step by step, until the degree of deviation between the level water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range.

[0073] In the present embodiment, the outlet water quality drainage and replenishment optimization includes outlet water quality warning drainage and replenishment optimization and outlet water quality step-by-step drainage and replenishment optimization; wherein, when the water quality monitoring judgment value is greater than the reference water quality warning threshold value obtained from the preset database, it indicates that the degree of deterioration of the outlet water quality of the corresponding central air-conditioning cooling tower requires emergency treatment, and therefore, the outlet water quality drainage and replenishment is performed with the warning drainage ratio and the warning water replenishment ratio; similarly, when the water quality monitoring judgment value is not greater than the reference water quality warning threshold value obtained from the preset database, it indicates that the degree of deterioration of the outlet water quality of the corresponding central air-conditioning cooling tower can be corresponding to the orderly increasing level drainage ratio and level water replenishment ratio for step-by-step outlet water quality drainage and replenishment, so as to perform effective water quality optimization; by combining the water quality warning analysis results to optimize the outlet water quality of the central air-conditioning cooling tower, the outlet water quality drainage and replenishment optimization management is realized when the water quality warning analysis result is a water quality warning, thereby realizing more efficient outlet water quality management in the process of intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0074] like Figure 2 As shown, it is a flow chart of a method for intelligent monitoring of outlet water of a central air-conditioning cooling tower provided in an embodiment of the present application, and the method comprises the following steps: step one, operation fluctuation analysis: perform fluctuation analysis on the operation efficiency of the central air-conditioning cooling tower, and adjust the outlet water flow of the central air-conditioning cooling tower and collect outlet water quality data based on the results of the fluctuation analysis; step two, outlet water quality monitoring: monitor the outlet water quality of the central air-conditioning cooling tower based on the outlet water quality data, and obtain water quality warning analysis results; step three, water quality drainage and replenishment optimization: optimize the outlet water quality drainage and replenishment of the outlet water of the central air-conditioning cooling tower in combination with the water quality warning analysis results, and the outlet water quality drainage and replenishment optimization means that outlet water drainage and replenishment are performed based on the water quality warning analysis results to improve the outlet water quality of the central air-conditioning cooling tower.

[0075] To summarize, the embodiment of the present application performs fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower, and based on the results of the fluctuation analysis, adjusts the outlet water flow of the central air-conditioning cooling tower and collects outlet water quality data, then monitors the outlet water quality of the central air-conditioning cooling tower, and finally optimizes the outlet water quality of the central air-conditioning cooling tower in combination with the water quality warning analysis results, thereby realizing fluctuation analysis of the operating efficiency of the central air-conditioning cooling tower, outlet water quality monitoring, and outlet water quality optimization, thereby realizing more efficient outlet water quality management in the process of intelligent monitoring of the outlet water of the central air-conditioning cooling tower, effectively solving the problem in the prior art that the interaction between water quality and operation is not considered when managing the outlet water quality in the process of intelligent monitoring of the outlet water of the central air-conditioning cooling tower.

[0076] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may 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.

[0077] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0080] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0081] 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 equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A central air conditioning cooling tower water outlet intelligent monitoring system, characterized in that: include: Operation fluctuation analysis module, effluent water quality monitoring module and water quality drainage and replenishment 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 to adjust the outlet water flow of the central air-conditioning cooling tower and collect 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 water quality warning analysis results; The water quality drainage and replenishment optimization module is used to optimize the outlet water quality of the central air-conditioning cooling tower in combination with the water quality warning analysis results. The outlet water quality drainage and replenishment optimization means that outlet water drainage and replenishment are performed based on the water quality warning analysis results to improve the outlet water quality of the central air-conditioning cooling tower.

2. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 1, characterized in that: The specific steps of performing fluctuation analysis on the operating efficiency of the central air-conditioning cooling tower are as follows: Obtaining environmental interference quantitative data and cooling tower operation quantitative data within a preset operation efficiency fluctuation monitoring time interval, wherein the environmental interference quantitative data includes operating environment humidity, operating environment temperature and operating environment wind speed, and the cooling tower operation quantitative data includes cooling tower outlet water flow, cooling tower outlet water temperature and cooling tower fan power; Performing statistical analysis on the environmental interference quantitative data and the cooling tower operation quantitative data to obtain average environmental interference data and cooling tower average operation data, respectively. The average environmental interference data includes average operating environment humidity, average operating environment temperature and average operating environment wind speed. The cooling tower average operation data includes average outlet water flow, average outlet water temperature and average fan power. The cooling tower operation quantitative data and cooling tower average operation data are both de-normalized. The average operating environment humidity ratio result and the cooling tower outlet water flow difference analysis result are subjected to humidity-water flow interaction processing to obtain the water flow fluctuation coefficient, wherein the humidity-water flow interaction processing is used to describe the interaction between the average operating environment humidity ratio result and the cooling tower outlet water flow difference analysis result; The average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result are subjected to temperature-water temperature interaction processing to obtain the temperature fluctuation coefficient, wherein the temperature-water temperature interaction processing is used to describe the interaction between the average operating environment temperature ratio result and the cooling tower outlet water temperature difference analysis result; The wind speed-fan power interaction processing is performed on the average operating environment wind speed proportion result and the cooling tower fan power difference analysis result to obtain the fan power fluctuation coefficient, wherein the wind speed-fan power interaction processing is used to describe the interaction between the average operating environment wind speed proportion result and the cooling tower fan power difference analysis result; The water flow fluctuation coefficient, the temperature fluctuation coefficient, the fan power fluctuation coefficient and the corresponding fluctuation compensation value are weighted and coupled to obtain an operation fluctuation determination value, which 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 fluctuation degree of the operation efficiency of the central air-conditioning cooling tower jointly determined by the water flow fluctuation coefficient, the temperature fluctuation coefficient and the fan power fluctuation coefficient; The fluctuation compensation value includes a water flow fluctuation compensation value, a temperature fluctuation compensation value and a fan power fluctuation compensation value.

3. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 2, characterized in that: The specific process of regulating the water outlet flow of the central air-conditioning cooling tower is as follows: Determining whether the obtained operation fluctuation determination value is within a preset fluctuation allowable threshold range obtained from a preset database; If the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, then based on the degree of deviation between the operation fluctuation determination value and the reference operation fluctuation threshold, the water outlet flow mapping set in the preset database is input for mapping to obtain the cooling tower regulated water outlet flow, wherein the water outlet flow mapping set represents a mapping relationship between the operation fluctuation determination value and the degree of deviation between the reference operation fluctuation threshold and the cooling tower regulated water outlet flow; If the operation fluctuation judgment value is not within the preset fluctuation allowable threshold range obtained from the preset database, the operation fluctuation judgment value and the reference operation fluctuation threshold deviation degree are input into the PID controller together to obtain the cooling tower adjustment optimized water outlet flow.

4. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 2, characterized in that: The specific process of collecting the effluent water quality data is as follows: When the operation fluctuation determination value is within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected at an optimized collection frequency; The optimized acquisition frequency represents the result of mapping the real-time operation fluctuation determination value into the acquisition frequency mapping set in the preset database, and the acquisition frequency mapping set represents the mapping relationship between the operation fluctuation determination value and the optimized acquisition frequency; When the operation fluctuation determination value is not within the preset fluctuation allowable threshold range obtained from the preset database, the effluent water quality data is collected by adjusting the collection frequency; The adjustment acquisition 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 adjustment acquisition frequency; The effluent water quality data includes effluent pH value, effluent conductivity, effluent hardness and effluent dissolved oxygen content.

5. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 4, characterized in that: The water quality monitoring of the outlet water of the central air-conditioning cooling tower based on the outlet water quality data is carried out in the following specific steps: Obtain the effluent water quality monitoring data at the preset effluent water quality monitoring time within the preset time interval, perform difference analysis on the effluent water quality monitoring data and the corresponding water quality reference data, and then combine the difference analysis results of the corresponding reference maximum water quality data to perform proportion analysis to obtain the corresponding water quality monitoring deviation score; The effluent water quality monitoring data includes monitoring of effluent pH value, monitoring of effluent conductivity, monitoring of effluent hardness and monitoring of effluent dissolved oxygen; The water quality monitoring offset score includes the effluent pH monitoring offset score, the effluent conductivity offset score, the effluent hardness monitoring offset score and the dissolved oxygen monitoring offset score; The obtained water quality monitoring deviation score and the corresponding monitoring compensation value are weighted and then coupled and averaged to obtain a water quality monitoring judgment value, wherein the monitoring compensation value includes a pH monitoring compensation value, a conductivity monitoring compensation value, a hardness monitoring compensation value, and a dissolved oxygen monitoring compensation value; The water quality monitoring judgment value is used to quantitatively evaluate the deterioration of the water quality of the central air-conditioning cooling tower outlet water; The water quality monitoring judgment value represents the quantitative data for evaluating the degree of deterioration of the outlet water quality of the central air-conditioning cooling tower by the outlet water pH monitoring offset score, the outlet water conductivity offset score, the outlet water hardness monitoring offset score and the dissolved oxygen monitoring offset score.

6. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 5, characterized in that: The specific process of obtaining the water quality warning analysis results is as follows: Determine whether the deviation between the obtained water quality monitoring determination value and the reference water quality safety threshold value is within the preset water quality safety allowable range obtained from the preset database; 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 is recorded as qualified water quality; If the degree of deviation between the water quality monitoring judgment 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 will be recorded as a water quality warning.

7. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 6, characterized in that: The specific steps of optimizing the discharge and replenishment of the outlet water quality of the central air-conditioning cooling tower in combination with the water quality warning analysis results are as follows: When the water quality warning analysis result is water quality warning, it is determined whether the obtained water quality monitoring determination value is greater than the reference water quality warning threshold value obtained from the preset database; If the water quality monitoring judgment value is greater than the reference water quality warning threshold obtained from the preset database, the outlet water quality of the central air-conditioning cooling tower is optimized for the outlet water quality warning and drainage; If the water quality detection judgment value is not greater than the reference water quality warning threshold obtained from the preset database, the outlet water quality of the central air-conditioning cooling tower is optimized by step-by-step drainage and replenishment; The effluent water quality drainage and replenishment optimization includes effluent water quality warning drainage and replenishment optimization and effluent water quality step-by-step drainage and replenishment optimization.

8. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 7, characterized in that: The specific process of optimizing the effluent water quality warning and replenishment is as follows: The deviation degree between the water quality monitoring judgment value and the reference water quality warning threshold value is input into the warning drainage 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; The effluent water quality is drained and replenished according to the warning drainage ratio and the warning water replenishment ratio. The effluent water quality drainage and replenishment 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 drainage and replenishment mapping set represents the mapping relationship between the deviation degree between the water quality monitoring judgment 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 replenishment ratio.

9. A central air conditioning cooling tower outlet water intelligent monitoring system as claimed in claim 7, characterized in that: The specific process of optimizing the effluent quality step by step is as follows: Input the degree of deviation between the water quality monitoring determination value and the reference water quality safety threshold into the primary drainage and compensation mapping set in the preset database for mapping to obtain the primary drainage ratio, wherein the primary drainage and compensation mapping set represents the mapping relationship between the degree of deviation between the water quality monitoring determination value and the reference water quality safety threshold and the primary drainage ratio; Inputting the primary drainage ratio into the primary drainage and replenishment ratio mapping set in the preset database for mapping to obtain the corresponding primary replenishment ratio, wherein the primary drainage and replenishment ratio mapping set represents the mapping relationship between the primary drainage ratio and the primary replenishment ratio; Perform drainage and replenishment of primary effluent water quality according to the primary drainage ratio and the primary replenishment ratio, and obtain the primary water quality monitoring judgment value after drainage and replenishment of effluent water quality according to the primary drainage ratio and the primary replenishment ratio, wherein the drainage and replenishment of primary effluent water quality refers to replenishing the cooling tower with water after draining the cooling tower according to the primary drainage ratio and combining with the primary replenishment ratio; Determine whether the deviation 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 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; Otherwise, the effluent water quality is discharged and replenished based on the orderly increasing level drainage ratio and level replenishment ratio, and the level water quality monitoring judgment value is obtained after the level effluent water quality is discharged and replenished step by step, until the degree of deviation between the level water quality monitoring judgment value and the reference water quality safety threshold is within the preset water quality safety allowable range.

10. A method for intelligent monitoring of water outlet of a central air-conditioning cooling tower, characterized in that: The following steps are involved: Step 1: 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 outlet water quality data based on the results of the fluctuation analysis; Step 2: Monitor the outlet water quality of the central air-conditioning cooling tower based on the outlet water quality data to obtain water quality warning analysis results; Step three, optimizing the outlet water quality of the central air-conditioning cooling tower based on the water quality warning analysis results. The outlet water quality optimization means that outlet water is drained and replenished based on the water quality warning analysis results to improve the outlet water quality of the central air-conditioning cooling tower.

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