Intelligent control method applied to dry and wet cooling tower and dry and wet cooling tower

Abstract

The invention relates to an intelligent control method applied to a dry and wet cooling tower and the dry and wet cooling tower, through an intelligent control strategy, a shutter, a spray pump and a fan are finely adjusted in stages and sectors, the switching between dry cooling and wet cooling stages is optimized, the heat exchange capacity of the environment is fully utilized, and the energy consumption is reduced. Therefore, the purposes of improving the cooling efficiency, saving energy and reducing consumption are achieved; an intelligent control strategy combining multiple control algorithms is adopted, so that the stability and adaptability of the system under different working conditions are improved; through the intelligent control system, automatic management of the dry-wet cooling tower is achieved, the intelligent level of the system is improved, and manual intervention and operation complexity are reduced.

Description

Technical Field

[0001] The invention relates to an intelligent control method applied to a dry-wet cooling tower and the dry-wet cooling tower, belonging to the technical field of industrial cooling. Background Art

[0002] As an important cooling equipment, dry and wet cooling towers are widely used in industrial and commercial environments. Their control methods directly affect the energy consumption and cooling effect of the system. Traditional dry and wet cooling tower control systems usually have the following problems: (1) Single control algorithm: Traditional control systems mostly use a single control algorithm (such as PID). However, in actual industrial scenarios, a single algorithm is difficult to meet the stability requirements in complex environments.

[0003] (2) Failure to fully utilize the heat exchange capacity of the environment: The control systems of most dry and wet cooling towers cannot fully utilize the heat exchange capacity of the environment, resulting in unnecessary energy and water consumption.

[0004] (3) Seasonal control strategy is not applicable: Traditional control systems use the same control strategy in winter and summer. However, due to the different tasks and environmental conditions in the two seasons, the control logic has poor applicability in different seasons.

[0005] With the development of industrial intelligence, there is an urgent need for an intelligent control system that can solve the above problems. Summary of the invention

[0006] The present invention provides an intelligent control method for a dry-wet cooling tower and a dry-wet cooling tower, which solves the problems of poor control stability, inability to fully utilize environmental heat exchange capacity and poor seasonal adaptability existing in traditional control systems.

[0007] The technical solution adopted by the present invention to solve its technical problem is: An intelligent control method for a dry and wet cooling tower comprises the following steps: Step S1: collecting real-time data from sensors installed in the dry-wet cooling tower at preset time intervals, wherein the real-time data includes ambient temperature, ambient humidity, wind direction, wind speed, inlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of each sector in the dry-wet cooling tower, opening feedback value of shutters in each sector in the dry-wet cooling tower, operating conditions of spray pumps in each sector in the dry-wet cooling tower, and operating conditions of fans in each sector in the dry-wet cooling tower; Among them, the operating conditions of the spray pumps in each sector of the dry and wet cooling tower include the running state and the stopping state; The operating conditions of the fans in each sector of the dry and wet cooling tower include on, off and operating frequency; Step S2: According to the real-time data collected in step S1, the operation mode of the dry-wet cooling tower is judged based on the ambient temperature. If the ambient temperature is greater than the preset temperature, it is determined that the dry-wet cooling tower is in normal mode at this time, and the process proceeds to step S3; If the ambient temperature is less than or equal to the preset temperature, it is determined that the dry-wet cooling tower is in low temperature mode at this time, and the process goes to step S5; Step S3: When the wet cooling towers are in normal mode, the shutters of each sector in the dry and wet cooling towers are regulated until the shutters in all sectors are opened, and then the process proceeds to step S4; Step S4: determining the relationship between the outlet circulating water temperature of the dry-wet cooling tower and the outlet circulating water target temperature, and controlling and adjusting the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower; Step S5: when a plurality of wet cooling towers are in low temperature mode, it is not necessary to control and adjust the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower, the relationship between the outlet circulating water temperature of each sector in the dry-wet cooling tower and the outlet circulating water target temperature of each sector is determined, and the shutters of each sector in the dry-wet cooling tower are adjusted; Step S6: recording the type of real-time control in step S4 and step S5, including normal mode or low temperature mode; Step S7: according to the control type recorded in step S6, set different intervals for the next control, and repeat steps S2 to S6; Furthermore, it is set to collect real-time data from sensors installed in the dry and wet cooling tower every 10 seconds; Set the opening feedback value of the shutters in each sector of the dry and wet cooling tower to a value between 0 and 100; Set the running state of the spray pump in each sector of the dry and wet cooling tower to 1 and the stopping state to 0; Set the operating conditions of the fans in each sector of the dry and wet cooling tower to 1 for the open state and 0 for the closed state; Set the maximum operating frequency of the fans in each sector of the dry and wet cooling tower to 50Hz; Furthermore, the shutters and fans of each sector in the dry-wet cooling tower are regulated by combining the integrated PID algorithm and the fuzzy control algorithm. For the adjustment of the sectors, the sectors in the dry-wet cooling tower are divided into several groups, and the several groups are numbered in sequence. The shutter opening conditions of each sector in the dry-wet cooling tower are regulated in the order of the numbers. Starting from the first group of sectors, the shutters in the first group of sectors are opened to 100%, and then the shutter opening conditions of the second group of sectors are regulated until the shutters in all sectors are opened. Furthermore, when several wet cooling towers are in normal mode, the control steps are: Step S411, after the shutters in all sectors are opened, if , no regulation is performed. , then enter step S412 to adjust the wet cooling system, where: Indicates the outlet circulating water temperature of the dry and wet cooling tower. Indicates the outlet circulating water target temperature of the dry and wet cooling tower. Indicates the threshold value for wet cooling system regulation; Step S412: If , it is necessary to increase the heat exchange capacity of the dry and wet cooling tower, then go to step S413, if , it is necessary to reduce the heat exchange capacity of the dry and wet cooling tower, then proceed to step S416; Step S413, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S414, if not, proceeding to step S415; Step S414, determining whether the fan to be adjusted is turned on, if the fan is turned on but has not reached the maximum frequency, then continuing to increase the frequency of the fan; if the fan is not turned on, then turning on the fan and setting the initial frequency of the fan to a safe frequency; Step S415, turning on the remaining spray pumps located on both sides of the sector in the order of grouping; Step S416, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S417, if not, proceeding to step S418; Step S417, determining whether the fan to be adjusted has reached a safe frequency, if so, shutting down the fan, if not, reducing the fan frequency; Step S418, shutting down the spray pumps on both sides of the sector in the order of grouping; Furthermore, when several wet cooling towers are in low temperature mode, the control steps are: Step S511, if , then go to step S513, if , then proceed to step S512, where: Indicates the outlet circulating water temperature of the sector, Indicates the target temperature of the circulating water at the outlet of the sector, The threshold value indicating the need to close the blinds; Step S512: If , without any regulation, if , you need to open the blinds, including The threshold value indicating the need to open the blinds wider; Step S513, the blinds need to be closed.

[0008] Furthermore, the shutters and fans of each sector in the dry and wet cooling tower are controlled by integrating the PID algorithm and the fuzzy control algorithm; Furthermore, the PID controller based on the PID algorithm includes proportional control, integral control and differential control, and its calculation formula is: , In the above formula, represents the control input, represents the proportional gain, Represents the error, that is, the difference between the outlet circulating water temperature of the dry and wet cooling tower and the target value. represents the integral gain, represents the accumulation of error over time, represents the differential gain, Indicates the rate of change of error; Adjust the calculation formula to get , In the above formula, Indicates the feedback value of the shutter actuator or fan actuator sampled at the current moment; Furthermore, the working process of the fuzzy control algorithm includes fuzzification, rule reasoning and defuzzification in sequence, wherein fuzzification is to map the input temperature difference value to the corresponding fuzzy set through the defined membership function; Rule reasoning is to match the input fuzzy set with the rules according to the predefined fuzzy rule base to obtain the reasoning result of the fuzzy rules; Defuzzification is to convert the fuzzy output value into a specific numerical control signal; Further, in step S2, the preset temperature is set to 5°C, and the , , ; If the control type is normal mode, the next control will be performed after 90 seconds; if the control type is low temperature mode, the next control will be performed after 10 seconds; According to the dry-wet cooling tower adopted by the intelligent control method applied to the dry-wet cooling tower, 18 sectors are arranged in the dry-wet cooling tower, and a number of shutters, 6 spray pumps and 2 fans are installed in each sector; wherein 3 spray pumps and 1 fan are installed on both sides of the sector respectively; Divide the 18 sectors into 6 groups, and the sectors in each group are numbered as , Indicates the sector number.

[0009] Through the above technical solution, compared with the prior art, the present invention has the following beneficial effects: 1. The intelligent control method for dry and wet cooling towers provided by the present invention uses intelligent control strategies to finely adjust the shutters, spray pumps and fans in stages and sectors, optimize the switching between dry cooling and wet cooling stages, and make full use of the heat exchange capacity of the environment, thereby achieving the purpose of improving cooling efficiency and saving energy and reducing consumption; 2. The intelligent control method for dry and wet cooling towers provided by the present invention adopts an intelligent control strategy combining multiple control algorithms to improve the stability and adaptability of the system under different working conditions; 3. The intelligent control method for dry and wet cooling towers provided by the present invention provides differentiated control strategies according to the different cooling requirements of low-temperature environment and normal environment, ensuring that the system can operate efficiently in different seasons throughout the year; 4. The intelligent control method for dry-wet cooling towers provided by the present invention realizes the automatic management of dry-wet cooling towers through an intelligent control system, improves the intelligence level of the system, and reduces manual intervention and operation complexity. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0011] Figure 1 It is a flow chart of the intelligent control method applied to dry and wet cooling towers provided by the present invention; Figure 2 It is a control flow chart of the normal mode of the intelligent control method for dry-wet cooling tower provided by the present invention; Figure 3 It is a control flow chart of the intelligent control method for dry-wet cooling tower provided by the present invention for low temperature mode; Figure 4 It is a preferred embodiment provided by the present invention about the circulating water flow diagram of the dry and wet cooling tower; Figure 5 It is a preferred embodiment provided by the present invention about the sector grouping distribution diagram of the dry and wet cooling tower; Figure 6 It is a starting sequence diagram of a sector actuator of a dry-wet cooling tower according to a preferred embodiment of the present invention; Figure 7 It is a preferred embodiment provided by the present invention that shows a set of information diagrams about sector shutter opening, PID and fuzzy algorithm control. DETAILED DESCRIPTION

[0012] The present invention will now be described in further detail with reference to the accompanying drawings. In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "left side", "right side", "upper part", "lower part", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and "first", "second", etc. do not indicate the importance of the components, and therefore cannot be understood as a limitation on the present invention. The specific dimensions used in this embodiment are only for illustrating the technical solution by example, and do not limit the scope of protection of the present invention.

[0013] As described in the background technology, the traditional dry-wet cooling tower control system has certain problems in cooling efficiency, stability, seasonal adaptability control and intelligent management. Therefore, the present application provides an intelligent control method for dry-wet cooling towers. Based on the two control stages of dry cooling and wet cooling, efficient cooling and energy and water saving are achieved by adjusting the shutters, spray pumps and fans. The intelligent control method makes full use of the heat exchange capacity of the air environment to reduce unnecessary water and energy consumption. At the same time, due to the differences in the control tasks and methods in low-temperature environments and normal environments, the intelligent control method fully considers the ambient temperature conditions and provides different control strategies.

[0014] like Figure 1 As shown, the intelligent control method applied to the dry and wet cooling tower specifically includes the following steps: Step S1: collecting real-time data from sensors installed in the dry-wet cooling tower at preset time intervals (preferably set to every 10 seconds), wherein the real-time data includes ambient temperature, ambient humidity, wind direction, wind speed, inlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of each sector in the dry-wet cooling tower, opening feedback value of shutters in each sector in the dry-wet cooling tower, operating conditions of spray pumps in each sector in the dry-wet cooling tower, and operating conditions of fans in each sector in the dry-wet cooling tower; Among them, the operating conditions of the spray pumps in each sector of the dry-wet cooling tower include running state and stop state, the running state is 1, and the stop state is 0; The operating conditions of the fans in each sector of the dry and wet cooling tower include on, off and operating frequency. The on state is 1, the off state is 0, and the maximum operating frequency of the fan is 50Hz.

[0015] Step S2: According to the real-time data collected in step S1, the operation mode of the dry-wet cooling tower is judged based on the ambient temperature. If the ambient temperature is greater than the preset temperature, it is determined that the dry-wet cooling tower is in normal mode at this time, and the process proceeds to step S3; If the ambient temperature is less than or equal to the preset temperature, there may be a risk of freezing of the circulating water pipe, and it is determined that the dry-wet cooling tower is in the low temperature mode at this time, and the process goes to step S5.

[0016] One of the more prominent innovations of this application is to use different control strategies to differentially regulate dry and wet cooling towers for different purposes at different ambient temperatures. By adopting different control strategies, the operating state of the cooling tower can be accurately adjusted to match the actual needs, avoiding overcooling or insufficient cooling, thereby reducing energy waste. At the same time, different control strategies can be used to better adapt to various working conditions and improve the cooling effect. No matter how the environment changes, the system can automatically adjust the operating state to maintain a stable cooling effect. This helps to reduce system fluctuations caused by environmental changes and improve the stability and reliability of the system.

[0017] Next, the two modes are specifically described. Step S3: a number of wet cooling towers are in normal mode, and the shutters of each sector in the dry and wet cooling towers are adjusted until the shutters in all sectors are opened, and then step S4 is entered; Here, the normal mode shutter control strategy only adjusts the shutters of n sectors at a time. Under normal working conditions, the sectors on the windward side have higher heat dissipation capacity. Reasonable shutter control should make full use of the stronger heat dissipation capacity of the windward side. Therefore, an efficient adjustment should be to adjust the sectors on the windward side. However, due to the frequent changes in wind direction, it is easy to cause the windward side to be different at the previous and next moments. We assume that n=3, and the three windward sectors at the previous moment are the first sector, the second sector, and the third sector. Due to the change in wind direction and the decrease in ambient temperature, the shutters of the fifth sector, the sixth sector, and the seventh sector on the windward side at the current moment need to be closed; if the shutter opening feedback value of the fifth sector, the sixth sector, and the seventh sector is 0 at this moment, it will be ineffectively regulated, resulting in the failure to adjust the heat exchange capacity of the dry-wet cooling tower in time.

[0018] Therefore, in order to make full use of the windward surface and control it in time, the present application provides a preferred solution for regulating the shutters in normal mode, which is to divide the sectors in the dry-wet cooling tower into several groups, and number the several groups in sequence, and regulate the shutter opening conditions of each sector in the dry-wet cooling tower according to the numbering order. Starting from the first group of sectors, the shutters in the first group of sectors are opened to 100%, and then the shutter opening conditions of the second group of sectors are regulated until the shutters in all sectors are opened, so as to fully utilize the environmental heat exchange capacity and reduce energy consumption.

[0019] If the shutters of all sectors are fully opened, the spray pump and fan are controlled according to the normal mode wet cooling control strategy to further improve the heat exchange capacity. Figure 2As shown, step S4: determine the relationship between the outlet circulating water temperature of the dry-wet cooling tower and the outlet circulating water target temperature, and control and adjust the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower; The steps for regulating the spray pump and fan are as follows: Step S411, after the shutters in all sectors are opened, if , no regulation is performed. , then enter step S412 to adjust the wet cooling system, where: Indicates the outlet circulating water temperature of the dry and wet cooling tower. Indicates the outlet circulating water target temperature of the dry and wet cooling tower. Indicates the threshold value for wet cooling system regulation; Step S412: If , it is necessary to increase the heat exchange capacity of the dry and wet cooling tower, then go to step S413, if , it is necessary to reduce the heat exchange capacity of the dry and wet cooling tower, then proceed to step S416; Step S413, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S414, if not, proceeding to step S415; Step S414, determining whether the fan to be adjusted is turned on, if the fan is turned on but has not reached the maximum frequency, then continuing to increase the frequency of the fan; if the fan is not turned on, then turning on the fan and setting the initial frequency of the fan to a safe frequency; Step S415, turning on the remaining spray pumps located on both sides of the sector in the order of grouping; Step S416, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S417, if not, proceeding to step S418; Step S417, determining whether the fan to be adjusted has reached a safe frequency, if so, shutting down the fan, if not, reducing the fan frequency; Step S418, shut down the spray pumps on both sides of the sector in grouping order.

[0020] Step S5: when a plurality of wet cooling towers are in low temperature mode, it is not necessary to control and adjust the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower, the relationship between the outlet circulating water temperature of each sector in the dry-wet cooling tower and the outlet circulating water target temperature of each sector is determined, and the shutters of each sector in the dry-wet cooling tower are adjusted; The core consideration of shutter control in low temperature mode is to fully consider antifreeze and achieve precise temperature control, that is, the control needs to respond quickly to low temperature conditions, and be cautious when enhancing the heat exchange capacity of the sector. Different from the idea of ​​shutter group control in normal mode, the shutter control strategy in low temperature mode treats each sector as a separate individual and controls it independently according to the target value. Ideally, when the outlet circulating water temperature of each sector can reach the outlet circulating water target temperature of the dry-wet cooling tower When the outlet circulating water temperature of the whole dry-wet cooling tower can be stabilized at the outlet circulating water target temperature of the dry-wet cooling tower, .

[0021] like Figure 3 As shown, the specific control steps of low temperature mode are: Step S511, if , then go to step S513, if , then proceed to step S512, where: Indicates the outlet circulating water temperature of the sector, Indicates the target temperature of the circulating water at the outlet of the sector, The threshold value indicating the need to close the blinds; Step S512: If , without any regulation, if , you need to open the blinds, including The threshold value indicating the need to open the blinds wider; Step S513, the blinds need to be closed.

[0022] Furthermore, the shutters and fans of each sector in the dry and wet cooling tower are controlled by integrating the PID algorithm and the fuzzy control algorithm; Furthermore, the PID controller based on the PID algorithm includes proportional control, integral control and differential control, and its calculation formula is: , In the above formula, represents the control input, represents the proportional gain, Represents the error, that is, the difference between the outlet circulating water temperature of the dry and wet cooling tower and the target value. represents the integral gain, represents the accumulation of error over time, represents the differential gain, Indicates the rate of change of error; Adjust the calculation formula to get , In the above formula, Indicates the feedback value of the shutter actuator or fan actuator sampled at the current moment.

[0023] Regarding fuzzy control, this application uses a control method based on fuzzy logic. It does not rely on precise mathematical models, can handle uncertainty and nonlinear problems in the system, and has strong robustness and flexibility. Therefore, fuzzy control is widely used in the control problems of complex systems and uncertain systems. Fuzzy control uses rules described by human language to control the system, which is particularly suitable for systems that are difficult to establish precise mathematical models or the models are too complex.

[0024] In this application, the input of fuzzy control is the error between the circulating water temperature at the outlet of the dry and wet cooling tower and the target temperature, and the output is the adjustment amount of the corresponding actuator (shutter or fan). The temperature difference is mapped to the corresponding fuzzy set through the membership function, and the input variable is associated with the output variable through the fuzzy rule. Specifically, the working process of the fuzzy control system is as follows: Fuzzification: The input temperature difference value is mapped to the corresponding fuzzy set through the defined membership function. For example, the temperature difference may be mapped to the fuzzy sets such as "positive large" (PB), "positive small" (PS), "zero" (O), "negative small" (NS) or "negative large" (NB).

[0025] (2) Rule reasoning: According to the predefined fuzzy rule base, the input fuzzy set is matched with the rules to obtain the reasoning results of the fuzzy rules. These rules are based on expert experience or system requirements and determine how to map different input conditions to the corresponding output adjustment amount. For example, if the error is "positive and large", the control rule may result in a "large increase" in the adjustment amount.

[0026] (3) Defuzzification: Convert the output of the fuzzy rule into a specific control quantity. This step converts the fuzzy output value into a specific numerical control signal for practical application. For example, convert the output of the fuzzy controller "increase significantly" into the actual adjustment value of the fan speed or the sprinkler pump flow.

[0027] Of course, it should be emphasized that the control of the fan and shutter in step S4 and step S5 is the result of the weighted average of the PID controller and the fuzzy controller, that is, the values ​​of the shutter or fan frequency are calculated using two algorithms respectively, and then the weighted average algorithm is used to obtain the final value. The calculation effect is to make full use of the environmental heat exchange capacity to reduce unnecessary energy consumption and water consumption.

[0028] Step S6: Record the category of real-time control in step S4 and step S5, including normal mode or low temperature mode, where the normal mode is recorded as 1 and the low temperature mode is recorded as 0.

[0029] Step S7: According to the control category recorded in step S6, if the control category is normal mode, the next control is performed at an interval of 90 seconds; if the control category is low temperature mode, the next control is performed at an interval of 10 seconds.

[0030] Next, in combination with actual working conditions, the present application provides a preferred embodiment, in which 18 sectors are arranged in the dry-wet cooling tower used in the embodiment, and the circulating water direction of the whole dry-wet cooling tower is as follows: Figure 4 As shown, several shutters, 6 spray pumps and 2 fans are installed in each sector; if the main viewing angle of the sector is taken as the standard, 3 spray pumps and 1 dry-wet cooling tower are arranged on the left side, and 3 spray pumps and 1 dry-wet cooling tower are also arranged on the right side. When analyzing the various types of real-time data read, since it is necessary to compare the ambient temperature with the preset temperature to determine the working mode, the preset temperature in the embodiment is 5°C.

[0031] like Figure 5 In order to make full use of the windward side and adjust in time, the 18 sectors are divided into 6 groups, and the sectors in each group are numbered as follows: In normal mode, the control strategy for the blinds is to adjust the blinds opening in the order from 1 to 6 until all sectors of the group are opened to 100% before adjusting the next group of sectors. , if you need to increase the heat exchange capacity of the dry and wet cooling tower when adjusting the wet cooling system, Figure 6 As shown, according to the above sector grouping order , determine in turn whether the two spray pumps on the left, the left fan, the two spray pumps on the right, and the right fan are all started and the fan reaches the maximum frequency; if not, determine the sectors and actuators that need to be turned on or adjusted; otherwise, consider starting the third spray pump on both sides of each sector in the order of grouping. When the actuator to be adjusted is the fan, if the fan is not turned on, turn on the fan and the initial frequency of the fan is the safe frequency. If the fan is turned on but has not reached the maximum frequency, adjust the fan frequency.

[0032] Similarly, when When the heat exchange capacity of the dry and wet cooling tower needs to be reduced. Figure 6 The reverse arrow direction determines the sector and actuator to be operated, so that the actuator is operated to reduce the heat exchange capacity. The difference is that when the actuator to be adjusted is a fan, it is necessary to determine whether the frequency of the fan is a safe frequency.

[0033] In low temperature mode, Indicates the threshold for closing the blinds, temporarily set to -0.1. Indicates the threshold for widening the blinds, temporarily set to 0.2. , then this round does not need any regulation. Otherwise, use PID and fuzzy control to adjust the blinds.

[0034] at last Figure 7 A set of information about the sector blinds opening, PID parameters and fuzzy control is shown. The PID calculation shows that the blinds opening should be adjusted to 65.87, and the fuzzy control calculation shows that the blinds opening should be adjusted to 67. To determine the final adjustment value, a weighted average of the two is used for calculation. Assuming the weight factor is 0.5, the final blinds adjustment value is Through this weighted average method, the advantages of PID and fuzzy control can be comprehensively utilized to ensure the stability of the system.

[0035] In summary, this application uses different control strategies to regulate dry and wet cooling towers differently for different purposes at different ambient temperatures, and uses multiple control algorithms to enhance the stability of the entire regulation, and fully utilizes the ambient heat exchange capacity to reduce unnecessary energy and water consumption.

[0036] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless defined as herein.

[0037] The meaning of "and / or" described in this application means that the situations where each exists alone or both exist at the same time are included.

[0038] The term “connection” as used in this application may mean a direct connection between components or an indirect connection between components via other components.

[0039] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. An intelligent control method for a dry and wet cooling tower, characterized in that: The specific steps include: Step S1: collecting real-time data from sensors installed in the dry-wet cooling tower at preset time intervals, wherein the real-time data includes ambient temperature, ambient humidity, wind direction, wind speed, inlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of the dry-wet cooling tower, outlet circulating water temperature of each sector in the dry-wet cooling tower, opening feedback value of shutters in each sector in the dry-wet cooling tower, operating conditions of spray pumps in each sector in the dry-wet cooling tower, and operating conditions of fans in each sector in the dry-wet cooling tower; Among them, the operating conditions of the spray pumps in each sector of the dry and wet cooling tower include the running state and the stopping state; The operating conditions of the fans in each sector of the dry and wet cooling tower include on, off and operating frequency; Step S2: According to the real-time data collected in step S1, the operation mode of the dry-wet cooling tower is judged based on the ambient temperature. If the ambient temperature is greater than the preset temperature, it is determined that the dry-wet cooling tower is in normal mode at this time, and the process proceeds to step S3; If the ambient temperature is less than or equal to the preset temperature, it is determined that the dry-wet cooling tower is in low temperature mode at this time, and the process goes to step S5; Step S3: When the wet cooling towers are in normal mode, the shutters of each sector in the dry and wet cooling towers are regulated until the shutters in all sectors are opened, and then the process proceeds to step S4; Step S4: determining the relationship between the outlet circulating water temperature of the dry-wet cooling tower and the outlet circulating water target temperature, and controlling and adjusting the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower; Step S5: when a plurality of wet cooling towers are in low temperature mode, it is not necessary to control and adjust the spray pumps of each sector in the dry-wet cooling tower and the fans of each sector in the dry-wet cooling tower, the relationship between the outlet circulating water temperature of each sector in the dry-wet cooling tower and the outlet circulating water target temperature of each sector is determined, and the shutters of each sector in the dry-wet cooling tower are adjusted; Step S6: recording the type of real-time control in step S4 and step S5, including normal mode or low temperature mode; Step S7: According to the control type recorded in step S6, set different intervals for the next control, and repeat steps S2 to S6.

2. According to claim 1, an intelligent control method for dry and wet cooling towers is characterized in that: Set to collect real-time data from sensors installed in dry and wet cooling towers every 10 seconds; Set the opening feedback value of the shutters in each sector of the dry and wet cooling tower to a value between 0 and 100; Set the running state of the spray pump in each sector of the dry and wet cooling tower to 1 and the stopping state to 0; Set the operating conditions of the fans in each sector of the dry and wet cooling tower to 1 for the open state and 0 for the closed state; The maximum operating frequency of the fans in each sector of the dry and wet cooling tower is set to 50Hz.

3. The intelligent control method for a dry and wet cooling tower according to claim 1, characterized in that: The shutters and fans in each sector of the dry-wet cooling tower are regulated by combining the integrated PID algorithm and the fuzzy control algorithm. For the adjustment of the sectors, the sectors in the dry-wet cooling tower are divided into several groups, and the groups are numbered in sequence. The shutter opening conditions of each sector in the dry-wet cooling tower are regulated in the order of the numbers, starting from the first group of sectors. After the shutters in the first group of sectors are opened to 100%, the shutter opening conditions of the second group of sectors are regulated until the shutters in all sectors are opened.

4. The intelligent control method for a dry and wet cooling tower according to claim 3 is characterized in that: Several wet cooling towers are in normal mode, and the control steps are: Step S411, after the shutters in all sectors are opened, if , no regulation is performed. , then enter step S412 to adjust the wet cooling system, where: Indicates the outlet circulating water temperature of the dry and wet cooling tower. Indicates the outlet circulating water target temperature of the dry and wet cooling tower. Indicates the threshold value for wet cooling system regulation; Step S412: If , it is necessary to increase the heat exchange capacity of the dry and wet cooling tower, then go to step S413, if , it is necessary to reduce the heat exchange capacity of the dry and wet cooling tower, then proceed to step S416; Step S413, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S414, if not, proceeding to step S415; Step S414, determining whether the fan to be adjusted is turned on, if the fan is turned on but has not reached the maximum frequency, then continuing to increase the frequency of the fan; if the fan is not turned on, then turning on the fan and setting the initial frequency of the fan to a safe frequency; Step S415, turning on the remaining spray pumps located on both sides of the sector in the order of grouping; Step S416, determining the sectors to be controlled and the actuators for controlling the sprinklers and fans according to the sector control sequence, and determining whether the actuator to be adjusted is the fan, if necessary, proceeding to step S417, if not, proceeding to step S418; Step S417, determining whether the fan to be adjusted has reached a safe frequency, if so, shutting down the fan, if not, reducing the fan frequency; Step S418, shut down the spray pumps on both sides of the sector in grouping order.

5. The intelligent control method for a dry and wet cooling tower according to claim 3 is characterized in that: Several wet cooling towers are in low temperature mode, and the control steps are: Step S511, if , then go to step S513, if , then proceed to step S512, where: Indicates the outlet circulating water temperature of the sector, Indicates the target temperature of the circulating water at the outlet of the sector, The threshold value indicating the need to close the blinds; Step S512: If , without any regulation, if , you need to open the blinds, including The threshold value indicating the need to open the blinds wider; Step S513, the blinds need to be closed.

6. The intelligent control method for a dry and wet cooling tower according to claim 3 is characterized in that: The shutters and fans in each sector of the dry and wet cooling tower are regulated by combining integrated PID algorithm and fuzzy control algorithm.

7. The intelligent control method for a dry and wet cooling tower according to claim 6, characterized in that: The PID controller based on the PID algorithm includes proportional control, integral control and differential control, and its calculation formula is: ， In the above formula, represents the control input, represents the proportional gain, Represents the error, that is, the difference between the outlet circulating water temperature of the dry and wet cooling tower and the target value. represents the integral gain, represents the accumulation of error over time, represents the differential gain, Indicates the rate of change of error; Adjust the calculation formula to get , in the above formula, Indicates the feedback value of the shutter actuator or fan actuator sampled at the current moment.

8. The intelligent control method for a dry and wet cooling tower according to claim 6, characterized in that: The working process of the fuzzy control algorithm includes fuzzification, rule reasoning and defuzzification in sequence, wherein fuzzification is to map the input temperature difference value to the corresponding fuzzy set through the defined membership function; Rule reasoning is to match the input fuzzy set with the rules according to the predefined fuzzy rule base to obtain the reasoning result of the fuzzy rules; Defuzzification is the process of converting fuzzy output values ​​into specific numerical control signals.

9. An intelligent control method for a dry-wet cooling tower according to claim 1, 4 or 5, characterized in that: In step S2, the preset temperature is set to 5°C, and the ; If the control category is normal mode, the next control will be performed after 90 seconds; if the control category is low temperature mode, the next control will be performed after 10 seconds.

10. The dry-wet cooling tower used in the intelligent control method for a dry-wet cooling tower according to claim 3 is characterized in that: The dry-wet cooling tower is provided with 18 sectors, and a number of shutters, 6 spray pumps and 2 fans are installed in each sector; wherein 3 spray pumps and 1 fan are installed on both sides of the sector respectively; Divide the 18 sectors into 6 groups, and the sectors in each group are numbered as , Indicates the sector number.

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