Cooling tower control method and device, cooling tower system and storage medium

Abstract

The invention provides a cooling tower control method and device, a cooling tower system and a storage medium, and relates to the technical field of refrigeration. The cooling tower control method comprises the steps that under the condition that the cooling tower switching requirement exists, the equipment weight of a candidate cooling tower is determined according to the position information of each cooling tower, and the equipment weight of the candidate cooling tower is in positive correlation with the distance between the candidate cooling tower and the running cooling tower; and determining a target cooling tower according to the equipment weight.

Description

Technical Field

[0001] The present disclosure relates to the field of refrigeration technology, and in particular to a cooling tower control method, a cooling tower control device, a cooling tower system and a storage medium. Background Art

[0002] The central water-cooled host air conditioning system uses a cooling tower for heat dissipation. Due to the influence of weather, seasons and other factors, the system load fluctuates widely, and the number of equipment required to operate will also change.

[0003] In the related art, the cooling tower is opened or closed according to the number of operating units or a simple time sorting, that is, it is opened one by one according to the number of operating units of the unit, or it is sorted according to the operating time of the cooling tower fans, and the equipment with short operating time is opened first and the equipment with long operating time is closed first. Summary of the invention

[0004] One object of the present disclosure is to improve the overall energy efficiency of a cooling tower system.

[0005] According to one aspect of some embodiments of the present disclosure, a cooling tower control method is proposed, comprising: in the presence of a cooling tower switch demand, determining the equipment weight of a candidate cooling tower based on the location information of each cooling tower, wherein the equipment weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the operating cooling tower; determining a target cooling tower based on the equipment weight.

[0006] Based on the method in the embodiment shown in the present disclosure, when choosing to open or close a cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0007] In some embodiments, determining the target cooling tower according to the equipment weight includes: when there is a demand to turn on the cooling tower, selecting a candidate cooling tower with the largest equipment weight as the target cooling tower to be turned on, wherein the candidate cooling tower includes a cooling tower that is not in operation.

[0008] Based on the method in the embodiment shown in the present disclosure, when it is necessary to add a cooling tower in operation and select a cooling tower that needs to be turned on, the cooling tower that is farthest from the cooling tower in operation can be selected, thereby reducing the mutual influence between the cooling tower and the cooling tower that is already in operation after it is turned on, improving the overall heat dissipation capacity of the cooling tower in operation, and thus improving the overall energy efficiency of the cooling tower system.

[0009] In some embodiments, determining the target cooling tower according to the equipment weight includes: when there is a need to shut down a cooling tower, selecting a candidate cooling tower with the smallest equipment weight as the target cooling tower to be shut down, wherein the candidate cooling tower includes a cooling tower in operation.

[0010] Based on the method in the embodiment shown in the present disclosure, when it is necessary to reduce the number of cooling towers in operation and select cooling towers that need to be shut down, the cooling tower closest to the cooling tower in operation can be selected, thereby improving the degree of reduction of mutual influence between cooling towers that are already in operation, improving the overall heat dissipation capacity of cooling towers in operation, and thus improving the overall energy efficiency of the cooling tower system.

[0011] In some embodiments, determining the target cooling tower according to the equipment weight includes: determining a target cooling tower set according to the equipment weight when a unique target cooling tower cannot be determined according to the equipment weight; and determining the target cooling tower according to the heat dissipation capacity of the cooling towers in the target cooling tower set.

[0012] Based on the method in the embodiment shown in the present disclosure, when there are multiple target cooling towers that can be determined based on the equipment weights, it is possible to further select a cooling tower to be opened or closed based on the heat dissipation capacity of the cooling towers, thereby reducing the probability of cooling towers in operation affecting each other while taking into account the differences in the heat dissipation capacity of the cooling towers, further improving the overall heat dissipation capacity of the cooling towers in operation, and improving the overall energy efficiency of the cooling tower system.

[0013] In some embodiments, determining the target cooling tower based on the heat dissipation capacity of the cooling towers in the target cooling tower set includes: when there is a demand to turn on the cooling tower, selecting the cooling tower with the largest heat dissipation capacity in the target cooling tower set as the target cooling tower, wherein the target cooling tower set is the candidate cooling tower with the largest equipment weight.

[0014] Based on the method in the embodiment shown in the present disclosure, when it is necessary to add a cooling tower in operation and select a cooling tower to be turned on, the cooling tower with the strongest heat dissipation capacity among the cooling towers that are farthest from the cooling towers in operation can be selected. While reducing the mutual influence between the cooling tower and the cooling tower that is already in operation after it is turned on, the heat dissipation capacity of the cooling tower itself is improved, thereby improving the overall heat dissipation capacity of the cooling tower in operation.

[0015] In some embodiments, determining a target cooling tower based on the heat dissipation capacity of cooling towers in a target cooling tower set includes: when there is a need to shut down a cooling tower, selecting a cooling tower with the smallest heat dissipation capacity in the target cooling tower set as the target cooling tower, wherein the target cooling tower set is a candidate cooling tower with the smallest equipment weight.

[0016] Based on the method in the embodiment shown in the present disclosure, when it is necessary to reduce the number of cooling towers in operation and select the cooling towers that need to be shut down, the cooling tower with the weakest heat dissipation capacity among the cooling towers that are closest to the operating towers can be selected. While increasing the degree of reduction of the mutual influence between the cooling towers that are already in operation, the average heat dissipation capacity of the cooling towers in operation is guaranteed, and the waste of resources caused by cooling towers with low operating heat dissipation capacity is reduced, thereby improving the overall energy efficiency of the cooling tower system.

[0017] In some embodiments, the equipment weight of the candidate cooling tower is positively correlated with the heat dissipation capacity of the candidate cooling tower.

[0018] Based on the method in the embodiment shown in the present disclosure, in the process of selecting a cooling tower to be opened or closed, in addition to taking into account the location information, the heat dissipation capacity of the cooling tower is also taken into account, thereby reducing the probability of cooling towers in operation affecting each other while taking into account the differences in heat dissipation capacity of different cooling towers, thereby further improving the overall energy efficiency of the cooling tower system.

[0019] In some embodiments, the heat dissipation capacity is negatively correlated with the outlet water temperature of the cooling tower.

[0020] Based on the method in the embodiment shown in the present disclosure, the lower the outlet water temperature of the cooling tower, the stronger its ability to dissipate heat through heat exchange, thereby being able to objectively quantify the heat dissipation capacity of the cooling tower and improving the reliability of determining the target cooling tower based on the heat dissipation capacity.

[0021] In some embodiments, when the heat dissipation capacity is initially determined and there is no cooling tower in operation, the heat dissipation capacity is negatively correlated with the accumulated operating time of the cooling tower.

[0022] Based on the method in the embodiment shown in the present disclosure, when the outlet water temperature of the cooling tower has not been affected by the operation and there is no determined heat dissipation capacity information, the heat dissipation capacity is determined according to the cumulative operating time of the cooling tower. When the working state of the cooling tower is switched according to the heat dissipation capacity, the cooling tower with a shorter cumulative working time can be opened first, and the cooling tower with a longer cumulative working time can be closed first. This is beneficial to improving the service life of the cooling tower while avoiding the impact of equipment aging on the heat dissipation capacity.

[0023] In some embodiments, determining the target cooling tower includes: selecting a cooling tower as the target cooling tower; the cooling tower control method also includes: controlling the target cooling tower to switch the operating state according to the cooling tower switch demand, and triggering the execution to determine whether there is a cooling tower switch demand.

[0024] Based on the method in the embodiment shown in the present disclosure, when selecting a target cooling tower, only one target cooling tower is determined after each time the equipment weight is determined. When there are switching requirements for multiple cooling towers, one target cooling tower is determined each time for state switching, and the next cycle is used to determine whether there is still a cooling tower switching requirement, and the equipment weight is re-determined. The impact of the cooling tower state change on the switching requirement and the equipment weight is taken into consideration, thereby reducing the probability of over-adjustment, and can further reduce the probability of mutual influence between cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0025] In some embodiments, the cooling tower control method also includes: determining the heat dissipation capacity weight of the cooling tower based on the heat dissipation capacity of the cooling tower, wherein, when the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the cumulative operating time of the cooling tower, otherwise the heat dissipation capacity weight is the order of the outlet water temperatures of the cooling towers in operation from high to low.

[0026] Based on the method in the embodiment shown in the present disclosure, a method of quantifying the heat dissipation capacity by comparing between cooling towers is provided, and the heat dissipation capacity weight is used as the data basis for determining the target cooling tower, thereby improving the convenience of use and operating efficiency.

[0027] In some embodiments, based on the location information of each cooling tower, determining the equipment weight of the candidate cooling tower includes: obtaining the sum of the distances between the candidate cooling tower and each cooling tower in operation; obtaining the sum of the distances between the candidate cooling tower and each cooling tower in operation, as a ratio of the sum of the distances between all candidate cooling towers and each cooling tower in operation; and determining the product of the ratio and the heat dissipation capacity weight as the equipment weight.

[0028] Based on the method in the embodiment shown in the present disclosure, a method for quantifying equipment weights is provided, which can further take into account the distance between the candidate cooling tower and the cooling tower in operation on the basis of determining the heat dissipation capacity weight, so that the equipment weight is positively correlated with the heat dissipation capacity of the cooling tower and is positively correlated with the ratio of the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all candidate cooling towers and each cooling tower in operation, thereby improving convenience of use and operating efficiency.

[0029] In some embodiments, the cooling tower control method further includes: acquiring and storing configuration information of the cooling tower, the configuration information including location information of the cooling tower.

[0030] Based on the method in the embodiment shown in the present disclosure, a human-computer interaction interface is provided, which can pre-configure and store the configuration information of the cooling tower so that the location information of each cooling tower can be obtained when determining the equipment weight, which is convenient for users to configure and maintain the information of the cooling tower, thereby improving the convenience and user-friendliness of user use.

[0031] In some embodiments, the candidate cooling tower is a cooling tower whose operating state can be automatically controlled.

[0032] Based on the method in the embodiment shown in the present disclosure, it is possible to ensure that the cooling towers participating in the weight comparison and possibly selected as the target cooling towers are all cooling towers that can be automatically controlled in their operating states, and cool- ing towers that cannot be automatically controlled in their operating states due to limitations such as equipment functions or network environments are excluded from consideration, thereby avoiding untimely adjustments and system failures caused by the inability to switch the operating state of the target cooling tower after it is determined, and improving the reliability of the system.

[0033] In some embodiments, the cooling tower control method further includes: collecting the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements in real time.

[0034] Based on the method in the embodiment shown in the present disclosure, the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements can be collected in a timely manner, thereby having a data basis for determining in real time whether there is a need to switch the cooling tower on and off, and determining the weight of the cooling tower equipment, thereby improving the timeliness of the data and thus improving the operating efficiency and reliability of the cooling tower system.

[0035] In some embodiments, the cooling tower control method also includes: collecting the outlet water temperature of the cooling tower at a predetermined frequency; when the fluctuation of the outlet water temperature exceeds a predetermined threshold, determining whether there is a cooling tower that has a higher heat dissipation capacity than the cooling tower that is in operation and is in a non-operating state; if there is a cooling tower that has a higher heat dissipation capacity than the cooling tower that is in operation and is in a non-operating state, updating the device weight; and determining to modify the cooling tower that is in operation based on the device weight.

[0036] Based on the method in the above embodiment, it is possible to respond to fluctuations in the cooling tower outlet water temperature in a timely manner. When a cooling tower with stronger heat dissipation capacity is found, the device weight is updated in combination with the cooling tower location information, and cooling towers with low device weights are closed and high device weights are opened, thereby maintaining the overall energy efficiency of the cooling tower system and avoiding the impact of energy efficiency due to fluctuations in equipment status.

[0037] According to one aspect of some embodiments of the present disclosure, a cooling tower control device is proposed, including: an equipment weight determination unit, configured to determine the equipment weight of a candidate cooling tower according to the location information of each cooling tower when there is a need to switch the cooling tower on or off, wherein the equipment weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the operating cooling tower; and a target cooling tower determination unit, configured to determine the target cooling tower according to the equipment weight.

[0038] Based on the device in the embodiment shown in the present disclosure, when choosing to open or close the cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0039] In some embodiments, the target cooling tower determination unit is configured to select a cooling tower as the target cooling tower; the cooling tower control device also includes: a control unit, configured to control the target cooling tower to switch the operating state according to the cooling tower switch requirement, and trigger the execution to determine whether there is a cooling tower switch requirement.

[0040] Based on the device in the embodiment shown in the present disclosure, when selecting a target cooling tower, only one target cooling tower is determined after each time the equipment weight is determined. When there are switching requirements for multiple cooling towers, one target cooling tower is determined each time for state switching, and the next cycle is used to determine whether there is still a cooling tower switching requirement, and the equipment weight is re-determined. The impact of the cooling tower state change on the switching requirement and the equipment weight is taken into consideration, thereby reducing the probability of over-adjustment, and can further reduce the probability of mutual influence between cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0041] In some embodiments, the equipment weight determination unit is further configured to determine the heat dissipation capacity weight of the cooling tower based on the heat dissipation capacity of the cooling tower, wherein, when the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the cumulative operating time of the cooling tower, otherwise the heat dissipation capacity weight is the order of the outlet water temperatures of the cooling towers in operation from high to low.

[0042] Based on the device in the embodiment shown in the present disclosure, a method of quantifying the heat dissipation capacity by comparing between cooling towers is provided, and the heat dissipation capacity weight is used as the data basis for determining the target cooling tower, thereby improving the convenience of use and operating efficiency.

[0043] In some embodiments, the device weight determination unit is configured to: obtain the sum of the distances between the candidate cooling towers and each cooling tower in operation; obtain the sum of the distances between the candidate cooling towers and each cooling tower in operation, as a ratio of the sum of the distances between all candidate cooling towers and each cooling tower in operation; and determine the product of the ratio and the heat dissipation capacity weight as the device weight.

[0044] Based on the device in the embodiment shown in the present disclosure, a method for quantifying equipment weights is provided, which can further take into account the distance between the candidate cooling tower and the cooling tower in operation on the basis of determining the heat dissipation capacity weight, so that the equipment weight is positively correlated with the heat dissipation capacity of the cooling tower and is positively correlated with the ratio of the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all candidate cooling towers and each cooling tower in operation, thereby improving the convenience of use and operating efficiency.

[0045] In some embodiments, the cooling tower control device further includes: a configuration unit configured to obtain and store configuration information of the cooling tower, wherein the configuration information includes location information of the cooling tower.

[0046] Based on the device in the embodiment shown in the present disclosure, a human-computer interaction interface is provided, which can pre-configure and store the configuration information of the cooling tower so that the location information of each cooling tower can be obtained when determining the equipment weight, which is convenient for users to configure and maintain the information of the cooling tower, thereby improving the convenience and user-friendliness of user use.

[0047] In some embodiments, the cooling tower control device further includes: an information collection unit configured to collect the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements in real time.

[0048] Based on the device in the embodiment shown in the present disclosure, the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements can be collected in a timely manner, thereby having a data basis for determining in real time whether there is a need to switch the cooling tower on and off, and determining the weight of the cooling tower equipment, thereby improving the timeliness of the data and thus improving the operating efficiency and reliability of the cooling tower system.

[0049] According to one aspect of some embodiments of the present disclosure, a cooling tower control device is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute any one of the above cooling tower control methods based on instructions stored in the memory.

[0050] Based on the device in the embodiment shown in the present disclosure, when choosing to open or close the cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0051] According to one aspect of some embodiments of the present disclosure, a computer-readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, any one of the cooling tower control methods described above is implemented.

[0052] By running the instructions stored on the computer-readable storage medium in the embodiments of the present disclosure, when choosing to open or close the cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0053] According to one aspect of some embodiments of the present disclosure, a computer program product is provided, including a computer program or instructions, and when the computer program or instructions are executed by a processor, any one of the cooling tower control methods described above is implemented.

[0054] By running the program or instructions included in the computer program product in the embodiments of the present disclosure, it is possible to take into account the distance information between the cooling tower and the cooling tower that is already in operation when choosing to open or close the cooling tower, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0055] According to one aspect of some embodiments of the present disclosure, a cooling tower system is provided, comprising: any one of the cooling tower control devices described above; and a plurality of cooling towers configured to switch operating states under the control of the cooling tower control device.

[0056] Based on the system in the embodiment shown in the present disclosure, when choosing to open or close a cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The drawings described herein are used to provide further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute improper limitations on the present disclosure.

[0058] Figure 1 The following are flow charts of some embodiments of the cooling tower control method disclosed herein.

[0059] Figure 2 Flow chart of some embodiments of heat dissipation capacity sequencing in the cooling tower control method of the present disclosure.

[0060] Figure 3Flow charts of other embodiments of the cooling tower control method disclosed in the present invention.

[0061] Figure 4 Flow charts of some further embodiments of the cooling tower control method disclosed herein.

[0062] Figure 5 The following are flow charts of some further embodiments of the cooling tower control method disclosed in the present invention.

[0063] Figure 6 Schematic diagrams of some embodiments of the cooling tower control device disclosed herein.

[0064] Figure 7 Schematic diagram of some embodiments of information interaction of the cooling tower control device disclosed in the present invention.

[0065] Figure 8 Schematic diagrams of operating states of other embodiments of the cooling tower control device disclosed in the present invention.

[0066] Fig. 9 Schematic diagrams of some further embodiments of the cooling tower control device disclosed herein.

[0067] Fig.10 Schematic diagrams of some further embodiments of the cooling tower control device disclosed herein.

[0068] Fig.11 Schematic diagrams of some embodiments of the cooling tower system of the present disclosure.

[0069] Fig.12 Schematic diagrams of some embodiments of cooling tower connection methods in the cooling tower system of the present disclosure. DETAILED DESCRIPTION

[0070] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments.

[0071] The flowcharts of some embodiments of the cooling tower control method disclosed in the present invention are as follows Figure 1 as shown in .

[0072] In step S13, it is determined whether there is a need to switch the cooling tower on or off. In some embodiments, the cooling tower cooling demand can be obtained in real time, and the cooling tower cooling that can be provided by the cooling tower in the current operating state is determined. If the cooling demand is greater than the cooling that can be provided, there is a need to turn on the cooling tower; if the cooling demand is less than the cooling that can be provided, there is a need to turn off the cooling tower.

[0073] In some embodiments, the number of cooling tower switches required may be obtained, such as by determining the number of cooling towers that need to be opened or closed based on methods in related arts.

[0074] In step S15, the equipment weight of the candidate cooling tower is determined according to the location information of each cooling tower. The equipment weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the cooling tower in operation. In some embodiments, those skilled in the art may preset a method for calculating the equipment weight so that the larger the distance between the candidate cooling tower and the cooling tower in operation, the higher the equipment weight of the candidate cooling tower, and the smaller the distance between the candidate cooling tower and the cooling tower in operation, the lower the equipment weight of the candidate cooling tower.

[0075] In some embodiments, the candidate cooling towers mentioned in the present disclosure are cooling towers that can be automatically controlled in operation, that is, cooling towers that do not have the ability to switch through the automatic control function are excluded, and cooling towers that cannot be remotely controlled due to the influence of the network environment are excluded. Based on the method in the embodiment shown in the present disclosure, it can be ensured that the cooling towers participating in the weight comparison and that may be selected as the target cooling towers are all cooling towers that can be automatically controlled in operation, and cooling towers that cannot be automatically controlled in operation due to limitations such as equipment functions or network environment are excluded from the scope of consideration, thereby avoiding untimely adjustments and system failures caused by the inability to switch the operation state of the target cooling tower after determining it, thereby improving the reliability of the system.

[0076] In some embodiments, based on the location information of the candidate cooling towers, the distance between the cooling towers can be calculated, for example, the distance between the candidate cooling tower and each cooling tower in operation is determined, and then the sum of the distances between the candidate cooling tower and each cooling tower in operation is obtained as the distance parameter of the candidate cooling tower. The sum of the distance parameters of all candidate cooling towers is obtained, and the ratio of the distance parameter of the candidate cooling tower to the sum of the distance parameters is used as the position weight parameter in calculating the device weight. The device weight can be a position weight parameter, or it can be positively correlated with the position weight parameter. Through such a method, the sum of the distances between the candidate cooling tower and each cooling tower in operation can be used as the ratio of the sum of the distances between all candidate cooling towers and each cooling tower in operation, so as to achieve mutual comparison between the candidate cooling towers, which is helpful to select the cooling tower farthest or closest to the cooling tower in operation.

[0077] In some embodiments, the device weight of the candidate cooling tower is also positively correlated with the heat dissipation capacity of the candidate cooling tower. In the calculation process of generating the device weight, the heat dissipation capacity parameter can be used as one of the items. Based on the method in the embodiment shown in the present disclosure, in the process of selecting a cooling tower to be turned on or off, in addition to considering the location information, the heat dissipation capacity of the cooling tower is also considered, thereby reducing the probability of cooling towers in operation affecting each other while taking into account the differences in heat dissipation capacity of different cooling towers, further improving the overall energy efficiency of the cooling tower system.

[0078] In some embodiments, the heat dissipation capacity used in the process of calculating the device weight is negatively correlated with the outlet water temperature of the cooling tower. Through this method, the lower the outlet water temperature of the cooling tower, the stronger its ability to dissipate heat through heat exchange, thereby objectively quantifying the heat dissipation capacity of the cooling tower and improving the reliability of determining the target cooling tower based on the heat dissipation capacity.

[0079] In some embodiments, when there is no cooling tower in operation, the outlet water temperature is not much different and the reference value is low. The heat dissipation capacity obtained last time can be used to improve the reference value of the heat dissipation capacity and improve the reliability of selecting the target cooling tower.

[0080] In some embodiments, when there is no cooling tower in operation and the heat dissipation capacity is determined for the first time, the heat dissipation capacity can be determined based on the cumulative operating time of each cooling tower, and the heat dissipation capacity is negatively correlated with the cumulative operating time of the cooling tower. By using such a method, when the working state of the cooling tower is switched according to the heat dissipation capacity, the cooling tower with a shorter cumulative operating time can be opened first, and the cooling tower with a longer cumulative operating time can be closed first, which is beneficial to improving the service life of the cooling tower while avoiding the influence of equipment aging on the heat dissipation capacity.

[0081] In some embodiments, the heat dissipation capacity in the above-mentioned embodiments can be quantified using heat dissipation capacity weights. Specifically, when the heat dissipation capacity is initially determined and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the cumulative operating time of the cooling tower. Otherwise, the heat dissipation capacity weight is the order of the outlet water temperatures of the cooling towers in operation from high to low. This method provides a way to quantify the heat dissipation capacity by comparing between cooling towers, and uses the heat dissipation capacity weight as the data basis for determining the target cooling tower, thereby improving the convenience of use and operating efficiency. Flow charts of some embodiments of heat dissipation capacity sorting are shown below. Figure 2 as shown in .

[0082] In steps 241-245, the cooling towers are traversed and numbered, and the outlet water temperature Ti of each cooling tower is obtained, wherein i is the number identification of the cooling tower, and imax is the number of cooling towers that can be automatically controlled.

[0083] In step 246, the outlet water temperature of each cooling tower is placed in a temporary register, and when the collection is completed, the subsequent step 247 is triggered. In addition, the parameter i used for traversing the cooling tower is reset to 0, and another traversal number n=0 is set, and the heat dissipation capacity ranking number P 1散热 The initial value of is 0 or 1.

[0084] In steps 247-2412, the cooling towers are sorted in descending order of the outlet water temperature of the cooling towers. Specifically, the outlet water temperatures of each cooling tower are compared with each other, and each outlet water temperature lower than that of a cooling tower is sorted by P. i散热 =P i散热 +1 increases the sorting by one digit until the traversal is completed.

[0085] The method in the above embodiment provides a method for traversing and sorting the cooling towers, which can avoid omissions and wrong sorting, improve sorting efficiency, and facilitate determining the heat dissipation capacity weight based on the sorting result, thereby improving processing efficiency.

[0086] In some embodiments, based on the location information of the candidate cooling tower, the distance between the cooling towers can be calculated, for example, the distance between the candidate cooling tower and each cooling tower in operation is determined, and then the sum of the distances between the candidate cooling tower and each cooling tower in operation is obtained as the distance parameter of the candidate cooling tower. The sum of the distance parameters of all candidate cooling towers is obtained, and the ratio of the distance parameter of the candidate cooling tower to the sum of the distance parameters is used as the position weight parameter in calculating the device weight. Further, the product of the position weight parameter and the heat dissipation capacity weight is determined as the device weight. Based on the method in the embodiment shown in the present disclosure, a method for quantifying the device weight is provided, which can further take the distance between the candidate cooling tower and the cooling tower in operation into consideration on the basis of determining the heat dissipation capacity weight, so that the device weight is positively correlated with the heat dissipation capacity of the cooling tower, and is positively correlated with the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all candidate cooling towers and each cooling tower in operation, thereby improving the convenience of use and operation efficiency.

[0087] In some embodiments, as mentioned above, the candidate cooling tower in the present disclosure is a cooling tower that can be automatically controlled in operation. Parameter A can be set to identify whether the candidate cooling tower can be automatically controlled in operation, wherein parameter A of the cooling tower that can be automatically controlled in operation is 1, and parameter A of the cooling tower that cannot be automatically controlled in operation is 0. A is used as a coefficient for calculating the heat dissipation capacity weight and position weight parameters, so that the calculated heat dissipation capacity weight and position weight parameters are 0, and do not participate in the subsequent target cooling tower selection.

[0088] For example, when no cooling tower is running and the system has not completed the heat dissipation capacity ranking calculation, the weight calculation is based on the equipment operation time (t n ) and whether the device is automatically controllable (the device is in a remote and fault-free state) parameter (A n ) determines that if the device is not automatically controllable, the automatically controllable parameter (A n) is assigned a value of 0, and the above n is the cooling tower identifier. From the following formula, it can be seen that the weight of the automatic uncontrollable equipment is 0. The cooling tower with a weight of 0 does not participate in the subsequent switch tower logic operation until the weight is restored to non-0 again. It is allowed to participate in the switch tower logic operation of the cooling tower; if the equipment is automatically controllable, the automatic control parameter (A n ) is assigned a value of 1. From the following formula (1), it can be seen that the longer the cumulative running time, the smaller the weight. When the system calculates the heat dissipation capacity ranking at least once and the cooling tower is not running, the weight calculation is based on the last heat dissipation ranking number of the equipment (P n散热 ) and whether the device is automatically controllable (the device is in a remote and fault-free state) parameter (A n ) determines (Formula 2), the better the heat dissipation capability, the higher the heat dissipation capability ranking (P n散热 ) is larger, the greater the heat dissipation capacity weight is.

[0089] (1)

[0090] (2)

[0091] When the system has a cooling tower in operation, the equipment weight ratio is determined by the distance from the operating cooling tower (x n ) and the equipment heat dissipation capacity ranking, as shown in formula (3), where N is the number of candidate cooling towers. The weight calculation follows the following principles to calculate the weight of each equipment location (W n ) and the heat dissipation capacity weight of each device (Formula 1 or 2). When the weights of the cooling tower devices are consistent, further judgment is made based on the weights of the cooling tower heat dissipation capacity.

[0092] (3)

[0093] Through this method, the screening operation of the cooling tower can be converted into a computing operation, which reduces the computing burden and improves the processing efficiency.

[0094] In step S17, the target cooling tower is determined according to the equipment weight.

[0095] For example, when there is a need to start a cooling tower, the candidate cooling tower with the largest equipment weight is selected as the target cooling tower to be turned on from the candidate cooling towers that are not in operation. In this way, when it is necessary to add a cooling tower in operation and select a cooling tower that needs to be turned on, the cooling tower that is farthest from the cooling tower in operation can be selected, thereby reducing the mutual influence between the cooling tower and the cooling tower that is already in operation after it is turned on, improving the overall heat dissipation capacity of the cooling tower in operation, and thus improving the overall energy efficiency of the cooling tower system.

[0096] For example, when there is a need to shut down a cooling tower, the candidate cooling tower with the smallest equipment weight is selected from the cooling towers in operation as the target cooling tower to be shut down. In this way, when it is necessary to reduce the number of cooling towers in operation and select cooling towers to be shut down, the cooling tower closest to the cooling towers in operation can be selected, thereby reducing the mutual influence between the cooling towers in operation, improving the overall heat dissipation capacity of the cooling towers in operation, and thus improving the overall energy efficiency of the cooling tower system.

[0097] In some embodiments, no matter how many cooling tower switching requirements exist, only one target cooling tower is determined at a time. In the case where a unique target cooling tower cannot be determined based on the device weight, a target cooling tower set is determined based on the device weight, and then the target cooling tower is determined based on the heat dissipation capacity of the cooling towers in the target cooling tower set. Based on the method in the embodiment shown in the present disclosure, when there are multiple target cooling towers that can be determined based on the device weight, the cooling tower to be turned on or off can be further selected based on the heat dissipation capacity of the cooling tower, thereby reducing the probability of cooling towers in operation affecting each other, taking into account the differences in the heat dissipation capacity of the cooling towers, and further improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0098] For example, when there is a demand to open a cooling tower, first determine the candidate cooling tower with the largest equipment weight. If there are multiple candidate cooling towers with the largest equipment weight, then the multiple candidate cooling towers with the largest equipment weight are used as the target cooling tower set, and the cooling tower with the largest heat dissipation capacity is selected as the target cooling tower. Through such a method, it is possible to select the cooling tower with the strongest heat dissipation capacity among the cooling towers farthest from the cooling tower in operation, while reducing the mutual influence between the cooling tower and the cooling tower in operation after the cooling tower is turned on, and improve the heat dissipation capacity of the cooling tower itself, thereby improving the overall heat dissipation capacity of the cooling tower in operation. For another example, when there is a demand to close the cooling tower, first determine the candidate cooling tower with the smallest equipment weight. If there are multiple candidate cooling towers with the smallest equipment weight, then the multiple candidate cooling towers with the smallest equipment weight are used as the target cooling tower set, and the cooling tower with the smallest heat dissipation capacity in the target cooling tower set is selected as the target cooling tower. Through this method, when it is necessary to reduce the number of cooling towers in operation and select the cooling towers that need to be closed, the cooling tower with the weakest heat dissipation capacity among the cooling towers that are closest to the operating cooling towers can be selected. While increasing the degree of reduction of the mutual influence between the cooling towers that are already in operation, the average heat dissipation capacity of the cooling towers in operation is guaranteed, and the waste of resources caused by cooling towers with low operating heat dissipation capacity is reduced, thereby improving the overall energy efficiency of the cooling tower system.

[0099] Based on the method in the embodiment shown in the present disclosure, when choosing to open or close a cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0100] In some embodiments, Figure 1 As shown, the cooling tower control method of the present disclosure further includes step S11.

[0101] In step S11, the configuration information of the cooling tower is obtained and stored, and the configuration information includes the location information of the cooling tower. In some embodiments, the configuration information of the cooling tower can be obtained through a human-computer interaction interface and stored in a storage space, such as a memory or a database. In some embodiments, in addition to the location information of the cooling tower, the configuration information can also include one or more of the number, the number of fans, the number of valves, etc., so as to improve the comprehensiveness of the system's grasp of the cooling tower information, which is conducive to subsequent use.

[0102] In some embodiments, the configuration page of the cooling tower can be displayed on the human-computer interaction interface for the staff to fill in or select the configuration information. After completing the configuration of each cooling tower, you can click "Complete Configuration" or a similar interface button to execute the configuration of the next cooling tower, or complete the configuration of all cooling towers. When all cooling tower parameters are configured, click Save to complete the storage of configuration information. Through this method, the configuration information of the cooling tower can be configured one by one, avoiding the occurrence of missing configurations and improving the reliability of the configuration.

[0103] In some embodiments, the location information of the cooling towers can be based on cooling tower No. 1, and all other cooling towers are configured with a relative position offset from cooling tower No. 1, thereby reducing the difficulty of subsequent calculations and facilitating improving the efficiency of determining equipment weights.

[0104] Based on the method in the embodiment shown in the present disclosure, a human-computer interaction interface is provided, which can pre-configure and store the configuration information of the cooling tower so that the location information of each cooling tower can be obtained when determining the equipment weight, which is convenient for users to configure and maintain the information of the cooling tower, thereby improving the convenience and user-friendliness of user use.

[0105] In some embodiments, Figure 1 As shown, the cooling tower control method of the present disclosure further includes step S12.

[0106] In step S12, the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switch demand are collected in real time. In some embodiments, the controller of the cooling tower can collect the operating status information of the cooling tower in real time to improve the timeliness of information collection. In some embodiments, a sensor can also be set to collect the outlet water temperature of the cooling tower, thereby reducing the requirements for the functions of the controller of the cooling tower itself, which is conducive to promotion and application. In some embodiments, the switch demand of the cooling tower can be obtained based on the methods in the relevant technology or with the help of computing equipment in the relevant technology, reducing the burden of research and development and improving deployment efficiency.

[0107] Based on the method in the embodiment shown in the present disclosure, the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements can be collected in a timely manner, thereby having a data basis for determining in real time whether there is a need to switch the cooling tower on and off, and determining the weight of the cooling tower equipment, thereby improving the timeliness of the data and thus improving the operating efficiency and reliability of the cooling tower system.

[0108] Taking the cooling tower system used in the central air conditioning system as an example, the flow charts of other embodiments of the cooling tower control method disclosed in the present invention are as follows: Figure 3 as shown in .

[0109] In step 310, the relative layout positions and properties of all cooling tower spaces are obtained through the human-computer interaction interface. As mentioned in step S11 above, the information configured by the staff through the human-computer interaction interface is obtained.

[0110] In step 320, the current status, outlet water temperature and number of cooling tower requirements of each cooling tower are obtained in real time through the central air conditioning control system, for example, the status, outlet water temperature and system requirements of each cooling tower are collected in real time through Modbus TCP / Modbus RTU.

[0111] In step 330, the cooling tower control strategy is optimized according to the spatial location, attributes, current cooling tower status, and demand number of the cooling tower. The optimization process can be as shown in steps S13-S17 above, determine the target cooling tower to switch the switch state, generate the updated working state of each cooling tower, or the working state of the target cooling tower required, as the control strategy.

[0112] In step 340, the start and stop commands of each cooling tower are adjusted according to the control strategy. For example, the optimized operation strategy is transmitted to the cooling tower controller, and the cooling tower controller adjusts the equipment operation according to the new strategy.

[0113] Based on the method shown above, the configuration information of the cooling tower can be pre-configured and stored so that the location information of each cooling tower can be obtained when determining the equipment weight. The switching requirements, weight update and data basis for determining the target cooling tower can be obtained through timely data collection, and the start and stop control of the cooling tower can be realized by utilizing information interaction with the cooling tower, thereby improving the degree of automation, effect and efficiency in meeting the cooling tower cooling demand.

[0114] In some embodiments, no matter how many cooling tower switching requirements exist, only one target cooling tower is determined at a time. When the number of cooling towers that need to be switched on and off is determined to be greater than 1 in the above step S13, only one cooling tower is selected as the target cooling tower after the device weight is determined each time. After the target cooling tower is controlled to switch the operating state according to the cooling tower switching requirement, the execution is triggered to determine whether there is a cooling tower switching requirement. If there is still a need to switch the cooling tower on and off at this time, the device weight is updated again and a cooling tower is selected. The above-mentioned loop operation is performed until there is no cooling tower switching requirement.

[0115] Based on the method in the embodiment shown in the present disclosure, when selecting a target cooling tower, only one target cooling tower is determined after each time the equipment weight is determined. When there are switching requirements for multiple cooling towers, one target cooling tower is determined each time for state switching, and the next cycle is used to determine whether there is still a cooling tower switching requirement, and the equipment weight is re-determined. The impact of the cooling tower state change on the switching requirement and the equipment weight is taken into consideration, thereby reducing the probability of over-adjustment, and can further reduce the probability of mutual influence between cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0116] In some embodiments, a flow chart of a cooling tower control method is as follows Figure 4 As shown in , this embodiment discloses the control logic when the real-time demand number of a primary cooling tower is collected. The judgment process in this embodiment is only an example and does not constitute an improper limitation to the present disclosure.

[0117] In step 401, the real-time required number of cooling towers is determined.

[0118] In step 402 , if the real-time demand quantity of the cooling tower is greater than 1, step 406 is triggered; otherwise, step 403 is executed.

[0119] In step 403, it is determined whether the heat dissipation capability ranking is completed. If the heat dissipation capability ranking is completed, step 404 is executed; otherwise, if the heat dissipation capability ranking is not completed, step 405 is executed. The heat dissipation capability ranking can be any of the above-mentioned methods (for example, Figure 2 as shown).

[0120] In step 404, the heat dissipation capacity weights are determined as the order of the heat dissipation capacity rankings.

[0121] In step 405, the heat dissipation capacity weight is determined as the inverse of the equipment operation time, where the equipment operation time is the accumulated operation time of the corresponding cooling tower.

[0122] In step 406, it is determined whether the real-time demand number of cooling towers is greater than the number of cooling towers in operation. If the real-time demand number is greater than the number of cooling towers in operation, step 407 is executed; if the real-time demand number is less than or equal to the number of cooling towers in operation, step 417 is executed.

[0123] In step 407, it is determined whether the difference between the real-time required number of cooling towers and the number of cooling towers in operation is 1, that is, whether the working state of only one cooling tower needs to be switched. If only the working state of one cooling tower needs to be switched, step 408 is executed; otherwise, step 412 is executed.

[0124] In steps 408-411, the equipment weights are calculated. When it is determined that there is only one cooling tower with the largest equipment weight, the cooling tower with the largest equipment weight is turned on. If the number of cooling towers with the largest equipment weight is greater than 1, the cooling tower with a larger heat dissipation capacity weight is selected among the cooling towers with the largest equipment weight.

[0125] In steps 412-416, if there is a cooling tower that needs to switch its operating state, the equipment weight is calculated. When it is determined that there is only one cooling tower with the largest equipment weight, the cooling tower with the largest equipment weight is turned on; if the number of cooling towers with the largest equipment weight is greater than 1, the cooling tower with the largest equipment weight and the larger heat dissipation capacity weight is selected. Further, return to step 412 to determine again whether there is a cooling tower that needs to switch its operating state. Loop through steps 412-416; if there is no cooling tower that needs to switch its operating state, the process ends and jumps to step 418.

[0126] In step 417, it is determined whether the real-time demand number is less than the number of cooling towers in operation. If the real-time demand number of cooling towers is less than the number of cooling towers in operation, step 419 is executed; if the real-time demand number of cooling towers is equal to the number of cooling towers in operation, step 418 is executed.

[0127] In step 418, this process ends.

[0128] In step 419, it is determined whether the difference between the number of cooling towers in operation and the number of cooling towers required in real time is 1, that is, whether the working state of only one cooling tower needs to be switched. If only the working state of one cooling tower needs to be switched, step 420 is executed; otherwise, step 424 is executed.

[0129] In steps 420-423, the equipment weights are calculated. When it is determined that there is only one cooling tower with the smallest equipment weight, the cooling tower with the smallest equipment weight is turned on. If the number of cooling towers with the smallest equipment weight is greater than 1, the cooling tower with a smaller heat dissipation capacity weight among the cooling towers with the smallest equipment weight is selected.

[0130] In steps 424-428, if there is a cooling tower that needs to switch its operating state, the equipment weight is calculated. When it is determined that there is only one cooling tower with the smallest equipment weight, the cooling tower with the smallest equipment weight is turned on; if the number of cooling towers with the smallest equipment weight is greater than 1, the cooling tower with the smallest equipment weight and the smallest heat dissipation capacity weight is selected. Further, return to step 424 and determine again whether there is a cooling tower that needs to switch its operating state. Loop through steps 424-428; if there is no cooling tower that needs to switch its operating state, the process ends and jumps to step 418.

[0131] Based on the method disclosed in the above-mentioned embodiment, it is possible to respond to the cooling tower demand in a timely manner, and use the demand to trigger the generation and update of equipment weights. The equipment weights comprehensively consider the distance between the cooling towers and the heat dissipation capacity of the cooling towers. When the cooling tower needs to be turned on, the cooling tower with the least impact between the cooling towers and the highest heat dissipation capacity is selected. When the cooling tower needs to be turned off, the cooling tower with the greatest impact between the cooling towers and the greatest heat dissipation capacity is selected, thereby achieving the optimal operation of the cooling tower combination and improving the overall energy efficiency of the system.

[0132] The flow charts of some other embodiments of the cooling tower control method disclosed in the present invention are as follows: Figure 5 As shown in . The outlet water temperature of the cooling tower after stable operation is collected regularly (for example, once every 2 hours). When the outlet water temperature of the cooling tower changes (for example, due to the addition or removal of towers), the time is reset. When the outlet water temperature of the running cooling tower is higher than that of the other running cooling towers (that is, the heat dissipation capacity is deteriorated), the system is checked to see if there are cooling towers with stronger cooling capacity than the currently running cooling tower. If so, the cooling towers with stronger heat dissipation capacity are sorted by equipment weight and the cooling towers with weaker heat dissipation capacity are switched.

[0133] In step 501, the cooling tower is automatically operated.

[0134] In step 502, it is determined whether the current stable operation time of the cooling tower is greater than 2 hours. If it is greater than 2 hours, step 503 is executed, otherwise, the process returns to step 502.

[0135] In step 503, the outlet water temperature of the cooling tower is cyclically compared.

[0136] In step 504, it is determined whether the degree of deviation of the cooling tower outlet water temperature is greater than a threshold value (for example, 0.5°C). If the degree of deviation is greater than the threshold value, step 505 is executed. If the degree of deviation is not greater than the threshold value, the process returns to step 502 and waits for the next outlet water temperature collection.

[0137] In step 505, if there is a cooling tower with a larger heat dissipation capacity weight, the equipment weights are re-sorted.

[0138] In step 506, the cooling tower with a large equipment weight is turned on, and the cooling tower with a poor heat dissipation capacity is turned off.

[0139] Based on the method in the above embodiment, it is possible to respond to fluctuations in the cooling tower outlet water temperature in a timely manner. When a cooling tower with stronger heat dissipation capacity is found, the device weight is updated in combination with the cooling tower location information, and cooling towers with low device weights are closed and high device weights are opened, thereby maintaining the overall energy efficiency of the cooling tower system and avoiding the impact of energy efficiency due to fluctuations in equipment status.

[0140] Schematic diagrams of some embodiments of the cooling tower control device disclosed in the present invention are as follows Figure 6 as shown in .

[0141] The device weight determination unit 613 can determine the device weight of the candidate cooling tower according to the location information of each cooling tower when there is a cooling tower switch demand. The device weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the cooling tower in operation. In some embodiments, the device weight determination unit 613 can perform the above steps S13 and S15, and Figure 2 The method of any of the embodiments shown.

[0142] The target cooling tower determination unit 614 can determine the target cooling tower according to the equipment weight. In some embodiments, the target cooling tower determination unit 614 can execute the method in any embodiment of the above step S17.

[0143] Based on the device in the embodiment shown in the present disclosure, when choosing to open or close the cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0144] In some embodiments, the target cooling tower determination unit 614 selects one cooling tower as the target cooling tower each time. Figure 6As shown, the cooling tower control device also includes a control unit 615, which can control the target cooling tower to switch the operating state according to the cooling tower switch demand, and trigger the execution to determine whether there is a cooling tower switch demand. Based on the device in the embodiment shown in the present disclosure, when selecting the target cooling tower, only one target cooling tower is determined after each determination of the equipment weight. In the case where there are switch demands for multiple cooling towers, one target cooling tower is determined each time for state switching, and it is determined through the next cycle whether there is still a cooling tower switch demand, and the equipment weight is re-determined, the impact of the cooling tower state change on the switch demand and the equipment weight is taken into consideration, the probability of over-regulation is reduced, and the probability of cooling towers in operation affecting each other can be further reduced, and the overall energy efficiency of the cooling tower system is improved.

[0145] In some embodiments, the device weight determination unit 613 can determine the heat dissipation capacity weight of the cooling tower according to the heat dissipation capacity of the cooling tower. When the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the cumulative operating time of the cooling tower, otherwise the heat dissipation capacity weight is the order of the outlet water temperature of the cooling tower in operation from high to low. The device in the above embodiment provides a method of quantifying the heat dissipation capacity by comparing between cooling towers, and uses the heat dissipation capacity weight as the data basis for determining the target cooling tower, thereby improving the convenience of use and operating efficiency.

[0146] In some embodiments, the device weight determination unit 613 is capable of obtaining the sum of the distances between the candidate cooling towers and each cooling tower in operation; obtaining the sum of the distances between the candidate cooling towers and each cooling tower in operation, as a ratio of the sum of the distances between all candidate cooling towers and each cooling tower in operation; and determining the product of the ratio and the heat dissipation capacity weight as the device weight.

[0147] Based on the device in the embodiment shown in the present disclosure, a method for quantifying equipment weights is provided, which can further take into account the distance between the candidate cooling tower and the cooling tower in operation on the basis of determining the heat dissipation capacity weight, so that the equipment weight is positively correlated with the heat dissipation capacity of the cooling tower and is positively correlated with the ratio of the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all candidate cooling towers and each cooling tower in operation, thereby improving the convenience of use and operating efficiency.

[0148] In some embodiments, Figure 6As shown, the cooling tower control device also includes a configuration unit 611, which can obtain and store the configuration information of the cooling tower, and the configuration information includes the location information of the cooling tower. In some embodiments, the configuration unit 611 can execute the method in any embodiment of step S11 above. Based on the device in the embodiment shown in the present disclosure, a human-computer interaction interface is provided, which can pre-configure and store the configuration information of the cooling tower, so that the location information of each cooling tower can be obtained when determining the device weight, which is convenient for users to configure and maintain the information of the cooling tower, and improves the convenience and user-friendliness of user use.

[0149] In some embodiments, Figure 6 As shown, the cooling tower control device also includes an information acquisition unit 612, which can collect the operating status of the cooling tower, the outlet water temperature of the cooling tower, and the switching requirements in real time. In some embodiments, the information acquisition unit 612 can execute the method in any embodiment of step S12 above. Based on the device in the embodiment shown in the present disclosure, the operating status of the cooling tower, the outlet water temperature of the cooling tower, and the switching requirements can be collected in time, so as to have a data basis for determining in real time whether there is a cooling tower switching requirement and determining the weight of the cooling tower equipment, thereby improving the timeliness of the data and thus improving the operating efficiency and reliability of the cooling tower system.

[0150] In some embodiments, the information collection unit 612 can also collect the outlet water temperature of the cooling tower at a predetermined frequency. The device weight determination unit 613 can also determine whether there is a cooling tower that has a higher heat dissipation capacity than the cooling tower in operation and is in a non-operating state when the fluctuation of the outlet water temperature exceeds a predetermined threshold; if there is a cooling tower that has a higher heat dissipation capacity than the cooling tower in operation and is in a non-operating state, the device weight is updated. The target cooling tower determination unit 614 can also determine to modify the cooling tower in operation according to the device weight. The device can respond to the fluctuation of the outlet water temperature of the cooling tower in a timely manner. When a cooling tower with a stronger heat dissipation capacity is found, the device weight is updated in combination with the cooling tower location information, and the cooling tower with a low device weight is closed and the cooling tower with a high device weight is opened, so as to maintain the overall energy efficiency of the cooling tower system and avoid the impact of energy efficiency due to fluctuations in the device status.

[0151] Schematic diagrams of some embodiments of information interaction of the cooling tower control device disclosed in the present invention are as follows Figure 7 as shown in .

[0152] The control device 71 may be the cooling tower control device mentioned in the present disclosure, or a part of the cooling tower control device of the present disclosure, and may be capable of executing any one of the cooling tower control methods mentioned above.

[0153] The human-machine interface 72 may be a part of the functions provided by the cooling tower control device of the present disclosure, and may be presented on a computer device or a user handheld terminal.

[0154] The cooling tower controller 73 is located in each cooling tower or is connected to the cooling tower signal.

[0155] The configuration information of the cooling tower is configured through the human-computer interaction interface 72 (such as a touch screen), and the location information, number, number of fans, and number of valves of the cooling tower are configured; after each cooling tower is configured, click "Finish Configuration" to configure the parameters of the next cooling tower. When all cooling tower parameters are configured, click Save to transmit the relevant parameters to the parameter configuration module of the control device. The control command generated by the control device 71 is sent to the cooling tower controller 73 to switch the working state of the cooling tower.

[0156] The cooling tower control device in the above-mentioned embodiment of the present disclosure is capable of receiving configuration information from the human-computer interaction interface, configuring and storing the configuration information of the cooling tower, so that the location information of each cooling tower can be obtained when determining the equipment weight, which is convenient for users to configure and maintain the information of the cooling tower, thereby improving the convenience and user-friendliness of user use; utilizing the data transmission path between the cooling tower and sending instructions to the cooling tower controller to realize the control of the cooling tower, thereby improving the control efficiency.

[0157] The operating state schematic diagrams of other embodiments of the cooling tower control device disclosed in the present invention are as follows: Figure 8 As shown in . The cooling tower control device includes an open Modbus TCP and Modbus RTU communication interface and a parameter configuration module 711, a parameter acquisition module 712, a weight calculation module 713, a logic operation module 714 and a control output module 715. The human-computer interaction device exchanges data with the control device through TCP / IP; after the operator completes the configuration of the human-computer interaction interface, it is transmitted to the control device through TCP / IP, and the parameter configuration module in the control device is responsible for processing. On the other hand, the control device collects the status, outlet water temperature and system requirements of each cooling tower in real time through ModbusTCP / Modbus RTU, and the parameter acquisition module is responsible for processing inside the control device. The control device re-optimizes the control strategy based on information such as the status of each cooling tower, the number of system requirements, and the spatial layout and location attributes of each cooling tower. The optimized operation strategy is transmitted to the cooling tower controller, and the cooling tower controller adjusts the equipment operation according to the new strategy. The above-mentioned parameter configuration module 711 can be the configuration unit mentioned above; the parameter acquisition module 712 can be the information acquisition unit mentioned above; the logic operation module 714 can include the equipment weight determination unit and the target cooling tower determination unit mentioned above; the control data module 715 can be implemented using a communication module, such as a wired, wireless or bus communication module, which matches the cooling tower controller at the other end and can send instructions to the cooling tower controller.

[0158] The device in this embodiment can take into account the distance information between the cooling tower and the cooling tower that is already in operation when choosing to open or close the cooling tower, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0159] The structural schematic diagram of an embodiment of the cooling tower control device disclosed in the present invention is as follows Fig. 9 As shown. The cooling tower control device includes a memory 901 and a processor 902. Wherein: the memory 901 can be a disk, a flash memory or any other non-volatile storage medium. The memory is used to store the instructions in the corresponding embodiment of the cooling tower control method described above. The processor 902 is coupled to the memory 901 and can be implemented as one or more integrated circuits, such as a microprocessor or a microcontroller. The processor 902 is used to execute the instructions stored in the memory, which can improve the overall energy efficiency of the cooling tower system.

[0160] In one embodiment, it is also possible to Fig.10 As shown, the cooling tower control device 1000 includes a memory 1001 and a processor 1002. The processor 1002 is coupled to the memory 1001 via a BUS 1003. The cooling tower control device 1000 can also be connected to an external storage device 1005 via a storage interface 1004 to call external data, and can also be connected to a network or another computer system (not shown) via a network interface 1006. No further detailed description will be given here.

[0161] In this embodiment, the overall energy efficiency of the cooling tower system can be improved by storing data instructions in a memory and processing the instructions through a processor.

[0162] In another embodiment, a computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the cooling tower control method. It should be understood by those skilled in the art that the embodiments of the present disclosure may be provided as methods, devices, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable non-transitory storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0163] Schematic diagrams of some embodiments of the cooling tower system of the present disclosure are shown in FIG. Fig.11 as shown in .

[0164] The cooling tower control device 1110 may be any one of those mentioned above.

[0165] Cooling towers 1121-112n (n is a positive integer greater than 2) can switch operating states under the control of the cooling tower control device. In some embodiments, schematic diagrams of some embodiments of cooling tower connection methods in a cooling tower system are shown as follows: Fig.12 As shown in , the dotted line and its arrows show the direction of the cooling tower water inlet passage, and the solid line and its arrows show the direction of the cooling tower water return passage. The water inlet and return ports of the cooling tower are connected to the air conditioning water system.

[0166] Based on the system in the embodiment shown in the present disclosure, when choosing to open or close a cooling tower, the distance information between the cooling tower and the cooling tower that is already in operation can be taken into consideration, thereby reducing the probability of mutual influence between the cooling towers in operation and improving the overall heat dissipation capacity of the cooling towers in operation, thereby improving the overall energy efficiency of the cooling tower system.

[0167] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be 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.

[0168] 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.

[0169] 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 A step that specifies a function in one or more boxes.

[0170] So far, the present disclosure has been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0171] The method and apparatus of the present disclosure may be implemented in many ways. For example, the method and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0172] It should be noted that the terms "first", "second", etc. in the specification, claims, and drawings of the present disclosure are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0173] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present disclosure rather than to limit it. Although the present disclosure has been described in detail with reference to the preferred embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present disclosure can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present disclosure, which should be included in the scope of the technical solution for protection of the present disclosure.

Claims

1. A cooling tower control method, comprising: In case of cooling tower switching requirements, Determine the equipment weight of the candidate cooling tower according to the location information of each cooling tower, wherein the equipment weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the operating cooling tower; A target cooling tower is determined according to the equipment weight.

2. The cooling tower control method according to claim 1, wherein: Determining the target cooling tower according to the equipment weight includes at least one of the following: In the case where there is a demand to start a cooling tower, selecting the candidate cooling tower with the largest equipment weight as the target cooling tower to be started, wherein the candidate cooling tower includes a cooling tower that is not in operation; or In the case where there is a need to shut down a cooling tower, the candidate cooling tower with the smallest equipment weight is selected as the target cooling tower to be shut down, wherein the candidate cooling tower includes a cooling tower in operation.

3. The cooling tower control method according to claim 1, wherein: Determining the target cooling tower according to the equipment weight comprises: In the case that a unique target cooling tower cannot be determined according to the equipment weight, determining a target cooling tower set according to the equipment weight; The target cooling tower is determined according to the heat dissipation capacity of the cooling towers in the target cooling tower set.

4. The cooling tower control method according to claim 3, wherein: Determining the target cooling tower according to the heat dissipation capacity of the cooling towers in the target cooling tower set includes at least one of the following: In the case where there is a demand to start a cooling tower, selecting a cooling tower with the largest heat dissipation capacity in the target cooling tower set as the target cooling tower, wherein the target cooling tower set is the candidate cooling tower with the largest equipment weight; or When there is a need to shut down a cooling tower, a cooling tower with the smallest heat dissipation capacity in the target cooling tower set is selected as the target cooling tower, wherein the target cooling tower set is the candidate cooling tower with the smallest equipment weight.

5. The cooling tower control method according to claim 1 or 2, wherein: The equipment weight of the candidate cooling tower is positively correlated with the heat dissipation capacity of the candidate cooling tower.

6. The cooling tower control method according to any one of claims 3 to 5, wherein: The heat dissipation capacity is negatively correlated with the outlet water temperature of the cooling tower.

7. The cooling tower control method according to claim 6, wherein: When the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity is negatively correlated with the accumulated operating time of the cooling tower.

8. The cooling tower control method according to claim 1 or 2, wherein: Determining the target cooling tower includes: selecting a cooling tower as the target cooling tower; The cooling tower control method further includes: controlling the target cooling tower to switch the operating state according to the cooling tower switch demand, and triggering execution to determine whether there is a cooling tower switch demand.

9. The cooling tower control method according to any one of claims 3 to 5, further comprising: Determining the heat dissipation capacity weight of the cooling tower according to the heat dissipation capacity of the cooling tower, Among them, when the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the cumulative operating time of the cooling tower; otherwise, the heat dissipation capacity weight is the order of the outlet water temperatures of the cooling towers in operation from high to low.

10. The cooling tower control method according to claim 9, wherein: Determining the equipment weight of the candidate cooling tower according to the location information of each cooling tower includes: Obtaining the sum of the distances between the candidate cooling tower and each cooling tower in operation; Obtaining the ratio of the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all the candidate cooling towers and each cooling tower in operation; The product of the ratio and the heat dissipation capability weight is determined as the device weight.

11. The cooling tower control method according to claim 1 or 2, further comprising at least one of the following: Acquire and store configuration information of a cooling tower, wherein the configuration information includes location information of the cooling tower; or Collect the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements in real time.

12. The cooling tower control method according to claim 1 or 2, wherein: The candidate cooling tower is a cooling tower whose operating state can be automatically controlled.

13. The cooling tower control method according to claim 1, further comprising: Collect the outlet water temperature of the cooling tower at a predetermined frequency; In the case where the fluctuation of the outlet water temperature exceeds a predetermined threshold, determining whether there is a cooling tower in a non-operating state that has a higher heat dissipation capacity than the cooling tower in an operating state; If there is a cooling tower that has a higher heat dissipation capacity than the cooling tower that is in operation and is in a non-operating state, updating the equipment weight; The cooling tower in operation is modified according to the equipment weight determination.

14. A cooling tower control device, comprising: The device weight determination unit is configured to determine the device weight of the candidate cooling tower according to the location information of each cooling tower when there is a cooling tower switch demand, wherein the device weight of the candidate cooling tower is positively correlated with the distance between the candidate cooling tower and the operating cooling tower; The target cooling tower determination unit is configured to determine the target cooling tower according to the equipment weight.

15. The cooling tower control device according to claim 14, wherein: The target cooling tower determination unit is configured to select a cooling tower as the target cooling tower; The cooling tower control device also includes: The control unit is configured to control the target cooling tower to switch the operating state according to the cooling tower switching demand, and trigger the execution of determining whether there is a cooling tower switching demand.

16. The cooling tower control device according to claim 14, wherein: The equipment weight determination unit is also configured to determine the heat dissipation capacity weight of the cooling tower according to the heat dissipation capacity of the cooling tower, wherein, when the heat dissipation capacity is determined for the first time and there is no cooling tower in operation, the heat dissipation capacity weight is the inverse of the accumulated operating time of the cooling tower, otherwise the heat dissipation capacity weight is the order of the outlet water temperatures of the cooling towers in operation from high to low.

17. The cooling tower control device according to claim 16, wherein: The device weight determination unit is configured to: Obtaining the sum of the distances between the candidate cooling tower and each cooling tower in operation; Obtaining the ratio of the sum of the distances between the candidate cooling tower and each cooling tower in operation to the sum of the distances between all the candidate cooling towers and each cooling tower in operation; The product of the ratio and the heat dissipation capability weight is determined as the device weight.

18. The cooling tower control device according to claim 14, further comprising: The configuration unit is configured to obtain and store configuration information of the cooling tower, wherein the configuration information includes location information of the cooling tower.

19. The cooling tower control device according to claim 14, further comprising: The information collection unit is configured to collect the operating status of the cooling tower, the outlet water temperature of the cooling tower and the switching requirements in real time.

20. A cooling tower control device, comprising: Memory; as well as A processor coupled to the memory, the processor being configured to execute the method according to any one of claims 1 to 13 based on instructions stored in the memory.

21. A computer-readable storage medium having computer instructions stored thereon, which implement the method according to any one of claims 1 to 13 when executed by a processor.

22. A computer program product, comprising a computer program or instructions, wherein when the computer program or instructions are executed by a processor, the method according to any one of claims 1 to 13 is implemented.

23. A cooling tower system, comprising: The cooling tower control device according to any one of claims 14 to 20; and A plurality of cooling towers are configured to switch operating states under the control of the cooling tower control device.

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