Intelligent cooling method and system for power distribution room

Abstract

The invention discloses an intelligent cooling method and system for a power distribution room. The method comprises the steps that internal and external environment parameters of the power distribution room are obtained through a sensor module; generating intelligent cooling strategies of the power distribution room in different scenes according to the internal and external environment parameters of the power distribution room based on a K-Means clustering algorithm; and the operation states of the water-cooling cooling module and the air-cooling cooling module are controlled according to the intelligent cooling strategy of the power distribution room. According to the invention, the K-Means clustering algorithm is utilized to perform clustering analysis on the internal and external environment data of the power distribution room to obtain a plurality of operation environment categories, and corresponding operation strategies of a plurality of water-cooling cooling modules and air-cooling cooling modules are provided in a targeted manner, so that intelligent cooling of the power distribution room in multiple scenes is realized; and the safe operation of the power distribution room is ensured in a faster, more efficient and environment-friendly manner. The problem that local heating of key equipment in the power distribution room is obvious due to poor cooling effect in the prior art is solved, and the cooling effect is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment cooling in a distribution room, and particularly to an intelligent cooling method and system for a distribution room. Background Art

[0002] The distribution substation of a civil building is often set underground in the building. Equipment such as distribution cabinets and switch cabinets generates a large amount of heat, and mechanical ventilation needs to be set up to eliminate the indoor residual heat. In areas with high outdoor temperatures in summer, to ensure the normal operation of electrical equipment such as distribution cabinets and the overall fire safety of the distribution room, it is necessary to promptly eliminate the indoor residual heat. However, the ventilation volume required for the underground distribution room is very large, and the efficiency of the generally used air-cooled air conditioners is relatively low, with high power consumption, especially serious in the high-temperature environment in summer. In this case, many distribution rooms will adopt distribution equipment with water-cooling equipment. However, in the weather conditions with low temperatures and low humidity in autumn and winter, only using water-cooling equipment may lead to problems such as excessive energy consumption of the cooling equipment and too high operation and maintenance costs of related equipment. Therefore, an intelligent cooling device and corresponding operation strategy that can consider the meteorological conditions of the area where the distribution room is located are of great significance for improving the cooling efficiency of the distribution room and reducing the overall energy consumption of the air conditioner.

[0003] Currently, the related technologies in the industry for improving the operating environment of indoor equipment such as substations and distribution rooms lie in traditional means such as traditional air-conditioning cooling, fan extraction, heating and dehumidification, etc., which have problems such as poor cooling effect, resulting in obvious local heating of key equipment in the distribution room. Summary of the Invention

[0004] The present invention provides an intelligent cooling method and system for a distribution room to solve the problems in the prior art, such as poor cooling effect, resulting in obvious local heating of key equipment in the distribution room.

[0005] According to one aspect of the present invention, there is provided an intelligent cooling method for a distribution room, which is used for an intelligent cooling system of a distribution room. The intelligent cooling system of the distribution room includes a water-cooling module, an air-cooling module, a sensor module, and a control module. The water-cooling module, the air-cooling module, and the sensor module are respectively connected to the control module. The intelligent cooling method for the distribution room includes:

[0006] Obtaining the internal and external environment parameters of the distribution room through the sensor module;

[0007] Generating an intelligent cooling strategy for the distribution room in different scenarios based on the K-Means clustering algorithm according to the internal and external environment parameters of the distribution room;

[0008] Controlling the operating states of the water-cooling module and the air-cooling module according to the intelligent cooling strategy of the distribution room.

[0009] Optionally, the internal and external environment parameters of the distribution substation include the internal temperature of the distribution substation, the internal humidity of the distribution substation, and the external temperature of the distribution substation;

[0010] The generation of the intelligent cooling strategy for the distribution substation in different scenarios based on the internal and external environment parameters of the distribution substation by using the K-Means clustering algorithm includes:

[0011] When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, a first intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0012] When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, a second intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0013] When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, a third intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0014] When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, a fourth intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0015] When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, a fifth intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0016] When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, a sixth intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0017] When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, a seventh intelligent cooling strategy for the distribution substation is generated based on the K-Means clustering algorithm;

[0018] When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, an intelligent cooling strategy for the eighth distribution room is generated based on the K-Means clustering algorithm.

[0019] Optionally, controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes:

[0020] Under the first intelligent cooling strategy of the distribution room, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be greater than or equal to the first preset power;

[0021] Under the second intelligent cooling strategy of the distribution room, control the operating power of the air-cooled cooling module to be greater than or equal to the second preset power and less than the third preset power.

[0022] Optionally, controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes:

[0023] Under the third intelligent cooling strategy of the distribution room, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be less than the first preset power;

[0024] Under the fourth intelligent cooling strategy of the distribution room, control the operating power of the air-cooled cooling module to be less than the fourth preset power.

[0025] Optionally, controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes:

[0026] Under the fifth intelligent cooling strategy of the distribution room, control the operating power of the water-cooled cooling module to be greater than or equal to the fourth preset power;

[0027] Under the sixth intelligent cooling strategy of the distribution room, control the operating power of the air-cooled cooling module to be greater than or equal to the fifth preset power and less than the fourth preset power.

[0028] Optionally, controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes:

[0029] Under the seventh intelligent cooling strategy of the distribution room, control the operating power of the water-cooled cooling module to be less than the fourth preset power;

[0030] Under the eighth intelligent cooling strategy of the distribution room, control the operating power of the water-cooled cooling module to be less than the fifth preset power.

[0031] According to another aspect of the present invention, there is provided an intelligent cooling system for a distribution room, including a water-cooling module, an air-cooling module, a sensor module and a control module. The water-cooling module, the air-cooling module and the sensor module are respectively connected to the control module;

[0032] The control module is used to obtain the internal and external environmental parameters of the distribution room through the sensor module;

[0033] The control module is also used to generate an intelligent cooling strategy for the distribution room in different scenarios based on the K-Means clustering algorithm according to the internal and external environmental parameters of the distribution room;

[0034] The control module is also used to control the operating states of the water-cooling module and the air-cooling module according to the intelligent cooling strategy of the distribution room.

[0035] Optionally, the air-cooling module includes a cooling fan and an air exchange port;

[0036] The cooling fan is fixed on the left wall inside the distribution room, the air exchange port is arranged on the right wall inside the distribution room, and the cooling fan and the air exchange port are arranged correspondingly; the distribution equipment to be cooled is placed between the cooling fan and the air exchange port; the cooling fan and the air exchange port form an air duct;

[0037] The cooling fan is used to perform heat exchange refrigeration on the hot air inside the distribution room.

[0038] Optionally, the water-cooling module includes a water-cooled air-conditioning main unit, a distribution room cooling pipeline, the distribution equipment to be cooled, the cooling pipeline of the distribution equipment to be cooled, a first heat exchanger and a second heat exchanger;

[0039] The inlets of the distribution room cooling pipeline and the cooling pipeline of the distribution equipment to be cooled are both connected to the water outlet of the water-cooled air-conditioning main unit. The first heat exchanger is arranged inside the distribution room. The outlet of the distribution room cooling pipeline is connected to the cold medium inlet of the first heat exchanger. The second heat exchanger is installed outside the distribution equipment to be cooled. The outlet of the cooling pipeline of the distribution equipment to be cooled is connected to the cold medium inlet of the second heat exchanger. The cold medium outlets of the first heat exchanger and the second heat exchanger are connected to the water inlet of the water-cooled air-conditioning main unit through pipelines to form a circulation loop;

[0040] The first heat exchanger and the second heat exchanger are used to perform heat exchange refrigeration on the hot air inside the distribution room and the distribution equipment to be cooled respectively by using the cold medium.

[0041] An embodiment of the present invention provides an intelligent cooling method and system for a distribution room. The method includes: obtaining the internal and external environmental parameters of the distribution room through a sensor module; generating intelligent cooling strategies for the distribution room under different scenarios based on the internal and external environmental parameters of the distribution room using the K-Means clustering algorithm; and controlling the operating states of the water-cooling cooling module and the air-cooling cooling module according to the intelligent cooling strategies for the distribution room. The technical solution provided by the embodiment of the present invention obtains the internal and external environmental parameters of the distribution room through the sensor module, and uses the K-Means clustering algorithm to perform clustering analysis on the internal environmental data and the external environmental data of the distribution room to obtain multiple operating environment categories, and accordingly proposes several corresponding operating strategies for the water-cooling cooling module and the air-cooling cooling module, realizing intelligent cooling of the distribution room in multiple scenarios, and more quickly, efficiently, and environmentally ensuring the safe operation of the distribution room. Since the sensor module is provided and the number of sensor modules is not only one, the sensor module can be arbitrarily set at the key power distribution equipment in the distribution room, solving the problem in the prior art that the cooling effect is poor, resulting in obvious local heating of the key equipment in the distribution room, and effectively improving the cooling effect.

[0042] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0044] Figure 1 It is a flowchart of an intelligent cooling method for a distribution room provided by an embodiment of the present invention;

[0045] Figure 2 It is a schematic structural diagram of an intelligent cooling system for a distribution room provided by an embodiment of the present invention;

[0046] Figure 3 It is a flowchart of generating intelligent cooling strategies for a distribution room under different scenarios by using the K-Means clustering algorithm provided by an embodiment of the present invention;

[0047] Figure 4 It is a schematic installation structure diagram of an air-cooling cooling module provided by an embodiment of the present invention;

[0048] Figure 5 It is a schematic structural diagram of a water-cooling cooling module provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0050] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0051] Figure 1 It is a flowchart of an intelligent cooling method for a distribution room provided in an embodiment of the present invention. This embodiment is applicable to the situation of cooling a distribution room and its internal power distribution equipment, and this method is used for an intelligent cooling system of a distribution room. Figure 2 It is a schematic structural diagram of an intelligent cooling system for a distribution room provided in an embodiment of the present invention. Refer to Figure 2 , this system includes a water-cooling module 210, an air-cooling module 220, a sensor module 230 and a control module 240. The water-cooling module 210, the air-cooling module 220, and the sensor module 23 - are respectively connected to the control module 240. Refer to Figure 1 , this method includes:

[0052] S110. Obtain the internal and external environmental parameters of the distribution room through the sensor module.

[0053] Among them, the sensor module includes an internal sensor module of the distribution room and an external sensor module of the distribution room.

[0054] Specifically, obtain the internal environmental parameters of the distribution room through the internal sensor module of the distribution room, and obtain the external environmental parameters of the distribution room through the external sensor module of the distribution room.

[0055] S120. Generate intelligent cooling strategies for the distribution room under different scenarios based on the internal and external environmental parameters of the distribution room using the K-Means clustering algorithm.

[0056] Among them, the K-Means clustering algorithm is an unsupervised learning algorithm, which has the advantages of simplicity, high efficiency, and intuitive results, and is mainly used to divide the sample data in the data set into different clusters.

[0057] Specifically, Figure 3 The following is a flowchart of a K-Means clustering algorithm provided by an embodiment of the present invention to generate intelligent cooling strategies for distribution rooms under different scenarios. Refer to Figure 3 , including:

[0058] S310. Input the internal and external environmental parameters of the distribution room.

[0059] S320. Select the value of K.

[0060] Among them, the value of K is the number of different typical working conditions of the intelligent cooling system of the distribution room corresponding to the combination of the internal and external environmental parameters of the distribution room, and can be set in advance.

[0061] S330. Initialize the cluster centers.

[0062] Specifically, randomly select K data points as the initial cluster centers, and these cluster centers represent the initial mean or central position of each cluster.

[0063] S340. Assign the data points to the nearest cluster center.

[0064] Specifically, for each data point in the data set, calculate its distance from each cluster center (usually using the Euclidean distance), and then assign the data point to the cluster where the nearest cluster center is located.

[0065] S350. Update the cluster centers.

[0066] Specifically, after all the data points are assigned to the corresponding clusters, recalculate the mean of all the data points in each cluster, and use this mean as the new cluster center. By continuously iterating this process, the cluster centers gradually move to more reasonable positions to better represent the characteristics of each cluster.

[0067] S360. Determine whether to converge. If so, execute S370; if not, return to execute S340.

[0068] Specifically, the size of the cluster is determined according to the number of schemes that can be arranged by the cooling system and its control system in the distribution room in actual applications. The condition for determining whether to converge is: whether the cluster centers change in each iteration process. If the change value is greater than the critical value, return to execute S340; if it is less than or equal to the critical value, it is determined to converge and execute S370.

[0069] S370. Output the clustering result.

[0070] Specifically, output different typical operating conditions of the intelligent cooling system for the distribution room corresponding to the combinations between the internal and external environmental parameters of the distribution room. For example, the operating condition when the internal environmental parameter of the distribution room is greater than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, or the operating condition when the internal environmental parameter of the distribution room is less than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, etc.

[0071] S380. Set the optimal operating strategy for each clustering result.

[0072] Specifically, for different typical operating conditions, set the operating powers of different magnitudes for the water-cooled cooling module and the air-cooled cooling module, and then generate the operating strategy. For example, in the operating condition when the internal environmental parameter of the distribution room is greater than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, set both the water-cooled cooling module and the air-cooled cooling module to operate at high power, or in the operating condition when the internal environmental parameter of the distribution room is less than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, set both the water-cooled cooling module and the air-cooled cooling module to operate at low power, etc.

[0073] S130. Control the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy for the distribution room.

[0074] Specifically, control whether the water-cooled cooling module and the air-cooled cooling module operate simultaneously or one of them operates alone, as well as their respective operating powers according to the intelligent cooling strategy for the distribution room. For example, in the operating condition when the internal environmental parameter of the distribution room is greater than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, set the water-cooled cooling module and the air-cooled cooling module to operate simultaneously and both at high power, or in the operating condition when the internal environmental parameter of the distribution room is less than the preset internal environmental value and the external environmental parameter of the distribution room is greater than the preset external environmental value, set the water-cooled cooling module to operate alone and at low power, etc.

[0075] An embodiment of the present invention provides an intelligent cooling method and system for a distribution room. The method includes: obtaining the internal and external environmental parameters of the distribution room through a sensor module; generating intelligent cooling strategies for the distribution room in different scenarios based on the internal and external environmental parameters of the distribution room using the K-Means clustering algorithm; and controlling the operating states of the water-cooling module and the air-cooling module according to the intelligent cooling strategies for the distribution room. The technical solution provided by the embodiment of the present invention obtains the internal and external environmental parameters of the distribution room through the sensor module, and uses the K-Means clustering algorithm to perform clustering analysis on the internal environmental data and the external environmental data of the distribution room, obtaining multiple operating environment categories, and accordingly proposing several corresponding operating strategies for the water-cooling module and the air-cooling module in a targeted manner, realizing intelligent cooling of the distribution room in multiple scenarios, and ensuring the safe operation of the distribution room more quickly, efficiently, and environmentally friendly. Since the sensor module is provided and the number of sensor modules is not only one, the sensor module can be arbitrarily set at the key power distribution equipment in the distribution room, solving the problem in the prior art that the cooling effect is poor, resulting in obvious local heating of the key equipment in the distribution room, and effectively improving the cooling effect.

[0076] In some other embodiments, optionally, the internal and external environmental parameters of the distribution room include the internal temperature of the distribution room, the internal humidity of the distribution room, and the external temperature of the distribution room; S120 specifically includes:

[0077] When the external temperature of the distribution room is greater than or equal to the first preset temperature, the internal humidity of the distribution room is greater than or equal to the first preset humidity, and the internal temperature of the distribution room is greater than or equal to the second preset temperature, generate a first intelligent cooling strategy for the distribution room based on the K-Means clustering algorithm.

[0078] When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is greater than or equal to the first preset humidity, and the internal temperature of the distribution room is greater than or equal to the second preset temperature, generate a second intelligent cooling strategy for the distribution room based on the K-Means clustering algorithm.

[0079] When the external temperature of the distribution room is greater than or equal to the first preset temperature, the internal humidity of the distribution room is greater than or equal to the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, generate a third intelligent cooling strategy for the distribution room based on the K-Means clustering algorithm.

[0080] When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is greater than or equal to the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, generate a fourth intelligent cooling strategy for the distribution room based on the K-Means clustering algorithm.

[0081] When the external temperature of the distribution room is greater than or equal to the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is greater than or equal to the second preset temperature, based on the K-Means clustering algorithm, generate the intelligent cooling strategy for the fifth distribution room.

[0082] When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is greater than or equal to the second preset temperature, based on the K-Means clustering algorithm, generate the intelligent cooling strategy for the sixth distribution room.

[0083] When the external temperature of the distribution room is greater than or equal to the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, based on the K-Means clustering algorithm, generate the intelligent cooling strategy for the seventh distribution room.

[0084] When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, based on the K-Means clustering algorithm, generate the intelligent cooling strategy for the eighth distribution room.

[0085] Among them, the first preset temperature, the first preset humidity, and the second preset temperature are all obtained by the K-Means clustering algorithm, and the clustering training data can be obtained from the environmental data recorded by the past meteorological large model or meteorological station and the actual operating environment data of the distribution room.

[0086] Exemplarily, as shown in Table 1 below:

[0087] Table 1

[0088]

[0089]

[0090] Among them, only several situations are listed in the table, and the operating environment parameters are simply classified into high and low categories. More operating conditions and their corresponding operating strategies can be generated by adding parameters according to actual needs, and the present invention does not limit this.

[0091] The technical solution provided by the embodiments of the present invention uses the K-Means clustering algorithm to perform clustering analysis on the internal environment data and external environment data of the distribution room, obtains multiple operating environment categories, and accordingly proposes corresponding operating strategies for several water-cooling cooling modules and air-cooling cooling modules, realizing intelligent cooling of the distribution room in multiple scenarios, and ensuring the safe operation of the distribution room more quickly, efficiently, and environmentally friendly.

[0092] In some other embodiments, optionally, S130 specifically includes:

[0093] Under the intelligent cooling strategy of the first distribution substation, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be greater than or equal to the first preset power for operation.

[0094] Among them, the first preset power, the second preset power, the third preset power, the fourth preset power, and the fifth preset power can all be preset according to the respective rated maximum powers of the air-cooled cooling module and the water-cooled cooling module.

[0095] Specifically, when the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be greater than or equal to the first preset power for operation.

[0096] Under the intelligent cooling strategy of the second distribution substation, control the operating power of the air-cooled cooling module to be greater than or equal to the second preset power and less than the third preset power for operation.

[0097] Specifically, when the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, control the operating power of the air-cooled cooling module to be greater than or equal to the second preset power and less than the third preset power for operation.

[0098] Under the intelligent cooling strategy of the third distribution substation, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be less than the first preset power for operation.

[0099] Specifically, when the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, control the operating powers of the air-cooled cooling module and the water-cooled cooling module to be less than the first preset power for operation.

[0100] Under the intelligent cooling strategy of the fourth distribution substation, control the operating power of the air-cooled cooling module to be less than the fourth preset power for operation.

[0101] Specifically, when the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, control the operating power of the air-cooled cooling module to be less than the fourth preset power for operation.

[0102] Under the intelligent cooling strategy of the fifth distribution substation, control the operating power of the water-cooled cooling module to be greater than or equal to the fourth preset power for operation.

[0103] Specifically, when the external temperature of the power distribution room is greater than or equal to the first preset temperature, the internal humidity of the power distribution room is less than the first preset humidity, and the internal temperature of the power distribution room is greater than or equal to the second preset temperature, control the operating power of the water-cooled cooling module to be greater than or equal to the fourth preset power for operation.

[0104] Under the intelligent cooling strategy of the sixth power distribution room, control the operating power of the air-cooled cooling module to be greater than or equal to the fifth preset power and less than the fourth preset power for operation.

[0105] Specifically, when the external temperature of the power distribution room is less than the first preset temperature, the internal humidity of the power distribution room is less than the first preset humidity, and the internal temperature of the power distribution room is greater than or equal to the second preset temperature, control the operating power of the air-cooled cooling module to be greater than or equal to the fifth preset power and less than the fourth preset power for operation.

[0106] Under the intelligent cooling strategy of the seventh power distribution room, control the operating power of the water-cooled cooling module to be less than the fourth preset power for operation.

[0107] Specifically, when the external temperature of the power distribution room is greater than or equal to the first preset temperature, the internal humidity of the power distribution room is less than the first preset humidity, and the internal temperature of the power distribution room is less than the second preset temperature, control the operating power of the water-cooled cooling module to be less than the fourth preset power for operation.

[0108] Under the intelligent cooling strategy of the eighth power distribution room, control the operating power of the water-cooled cooling module to be less than the fifth preset power for operation.

[0109] Specifically, when the external temperature of the power distribution room is less than the first preset temperature, the internal humidity of the power distribution room is less than the first preset humidity, and the internal temperature of the power distribution room is less than the second preset temperature, control the operating power of the water-cooled cooling module to be less than the fifth preset power for operation.

[0110] Exemplarily, the above-mentioned intelligent cooling strategy for the power distribution room can be referred to Table 2 below:

[0111] Table 2

[0112]

[0113]

[0114] The technical solution provided by the embodiment of the present invention, through the mutual cooperation of the air-cooled cooling module and the water-cooled cooling module, can meet the cooling requirements of the power distribution room under more working conditions. When the two operate simultaneously, the upper limit of the cooling efficiency in the power distribution room is improved, and the situation of insufficient overall energy efficiency of the cooling system is solved. In addition, the technical solution provided by the embodiment of the present invention can start and stop some cooling modules according to different working conditions, that is, the simultaneous operation of the air-cooled cooling module and the water-cooled cooling module, or the independent operation of one of the modules, realizing a more green, environmentally friendly and low-carbon operation of the power distribution room.

[0115] Continue to refer to Figure 2 This intelligent cooling system for the distribution room includes a water-cooling module 210, an air-cooling module 220, a sensor module 230, and a control module 240. The water-cooling module 210, the air-cooling module 220, and the sensor module 230 are respectively connected to the control module 240.

[0116] The control module 240 is used to obtain the internal and external environmental parameters of the distribution room through the sensor module 230.

[0117] The control module 240 is also used to generate intelligent cooling strategies for the distribution room in different scenarios based on the internal and external environmental parameters of the distribution room using the K-Means clustering algorithm.

[0118] The control module 240 is also used to control the operating states of the water-cooling module 210 and the air-cooling module 220 according to the intelligent cooling strategy of the distribution room.

[0119] The intelligent cooling system for the distribution room provided by the embodiments of the present invention can execute the method of the intelligent cooling system for the distribution room provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0120] Figure 4 It is a schematic diagram of the installation structure of the air-cooling module provided by the embodiments of the present invention. Refer to Figure 4 Optionally, the air-cooling module 220 includes a cooling fan 221 and an air exchange port 222.

[0121] The cooling fan 221 is fixed on the left wall inside the distribution room, and the air exchange port 222 is arranged on the right wall inside the distribution room. The cooling fan 221 and the air exchange port 222 are arranged correspondingly; the power distribution equipment 250 to be cooled is placed between the cooling fan 221 and the air exchange port 222; the cooling fan 221 and the air exchange port 222 form an air duct.

[0122] The cooling fan 221 is used to perform heat exchange and refrigeration on the hot air inside the distribution room.

[0123] Among them, multiple cooling fans 221 can be set. Generally, 2-6 cooling fans can be installed according to the size of the distribution room. The number of air exchange ports needs to correspond to the number of cooling fans.

[0124] Specifically, the technical solution provided by the embodiments of the present invention adopts the strategy of installing both the air-cooling module and the water-cooling module at the same time. The two can operate harmoniously through the control module to meet the cooling requirements in multiple scenarios inside the distribution room. During air cooling, a circulating fan can be used to drive the hot air inside the distribution room to pass through the heat exchange round tube for heat exchange and refrigeration, and then the temperature inside the main body of the distribution room can be quickly reduced, improving the convective heat transfer speed.

[0125] Figure 5 Schematic diagram of the structure of the water-cooling module provided by the embodiment of the present invention, see Figure 5 , optionally, the water-cooling module 210 includes a water-cooled air-conditioning main unit 211, a power distribution room cooling pipeline 212, a power distribution equipment to be cooled 213, a cooling pipeline 214 of the power distribution equipment to be cooled, a first heat exchanger 215 and a second heat exchanger 216.

[0126] The inlets of both the power distribution room cooling pipeline 212 and the cooling pipeline 214 of the power distribution equipment to be cooled are connected to the water outlet of the water-cooled air-conditioning main unit 211. The first heat exchanger 215 is arranged in the power distribution room. The outlet of the power distribution room cooling pipeline 212 is connected to the cold medium inlet of the first heat exchanger 215. The second heat exchanger 216 is installed outside the power distribution equipment to be cooled 213. The outlet of the cooling pipeline 214 of the power distribution equipment to be cooled is connected to the cold medium inlet of the second heat exchanger 216. The cold medium outlets of the first heat exchanger 215 and the second heat exchanger 216 are connected to the water inlet of the water-cooled air-conditioning main unit 211 through pipelines to form a circulation loop.

[0127] The first heat exchanger 215 and the second heat exchanger 216 are used to exchange heat and refrigerate the hot air in the power distribution room and the power distribution equipment to be cooled respectively by using the cold medium.

[0128] The technical solution provided by the embodiment of the present invention uses a water-cooled air conditioner to replace a common air-cooled air conditioner, which has high cooling efficiency and little change in efficiency throughout the year. During water cooling, through the cooperation of the refrigerant cycle of the water-cooled air-conditioning main unit and the cooling water, the heat in the power distribution room is continuously absorbed and discharged to the outside, ensuring that the temperature in the main body of the power distribution room is appropriate. In addition, according to the K-Means clustering algorithm combined with the internal and external environmental data of the power distribution room, clustering analysis is carried out on different operating conditions to generate a variety of cooling schemes including the cooperation of air cooling and water cooling, so that the control module controls the operation and startup of the air-cooling module and the water-cooling module, avoiding the continuous operation of the cooling equipment, reducing the power consumption of the cooling equipment, and achieving the effects of energy saving and resource conservation.

[0129] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitations are made herein.

[0130] The above specific embodiments do not constitute a limitation to the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent cooling method for a distribution room, characterized in that, For a smart cooling system in a distribution substation, the smart cooling system in the distribution substation includes a water-cooling module, an air-cooling module, a sensor module, and a control module. The water-cooling module, the air-cooling module, and the sensor module are respectively connected to the control module. The smart cooling method for the distribution substation includes: Obtain the internal and external environmental parameters of the distribution substation through the sensor module; Based on the K-Means clustering algorithm according to the internal and external environmental parameters of the distribution substation, generate smart cooling strategies for the distribution substation under different scenarios; Control the operating states of the water-cooling module and the air-cooling module according to the smart cooling strategy of the distribution substation.

2. The intelligent cooling method for the distribution room according to claim 1, wherein The internal and external environmental parameters of the distribution substation include the internal temperature of the distribution substation, the internal humidity of the distribution substation, and the external temperature of the distribution substation; The generating of the smart cooling strategies for the distribution substation under different scenarios based on the K-Means clustering algorithm according to the internal and external environmental parameters of the distribution substation includes: When the external temperature of the distribution substation is greater than or equal to a first preset temperature, the internal humidity of the distribution substation is greater than or equal to a first preset humidity, and the internal temperature of the distribution substation is greater than or equal to a second preset temperature, generate a first smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, generate a second smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, generate a third smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is greater than or equal to the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, generate a fourth smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, generate a fifth smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is less than the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is greater than or equal to the second preset temperature, generate a sixth smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution substation is greater than or equal to the first preset temperature, the internal humidity of the distribution substation is less than the first preset humidity, and the internal temperature of the distribution substation is less than the second preset temperature, generate a seventh smart cooling strategy for the distribution substation based on the K-Means clustering algorithm; When the external temperature of the distribution room is less than the first preset temperature, the internal humidity of the distribution room is less than the first preset humidity, and the internal temperature of the distribution room is less than the second preset temperature, an intelligent cooling strategy for the eighth distribution room is generated based on the K-Means clustering algorithm.

3. The intelligent cooling method for a distribution room according to claim 2, wherein Controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes: Under the first intelligent cooling strategy of the distribution room, controlling the operating powers of the air-cooled cooling module and the water-cooled cooling module to be greater than or equal to the first preset power; Under the second intelligent cooling strategy of the distribution room, controlling the operating power of the air-cooled cooling module to be greater than or equal to the second preset power and less than the third preset power.

4. The intelligent cooling method for the power distribution room according to claim 2, wherein Controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes: Under the third intelligent cooling strategy of the distribution room, controlling the operating powers of the air-cooled cooling module and the water-cooled cooling module to be less than the first preset power; Under the fourth intelligent cooling strategy of the distribution room, controlling the operating power of the air-cooled cooling module to be less than the fourth preset power.

5. The intelligent cooling method for a distribution room according to claim 2, wherein, Controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes: Under the fifth intelligent cooling strategy of the distribution room, controlling the operating power of the water-cooled cooling module to be greater than or equal to the fourth preset power; Under the sixth intelligent cooling strategy of the distribution room, controlling the operating power of the air-cooled cooling module to be greater than or equal to the fifth preset power and less than the fourth preset power.

6. The intelligent cooling method for a distribution room according to claim 2, characterized in that, Controlling the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room includes: Under the seventh intelligent cooling strategy of the distribution room, controlling the operating power of the water-cooled cooling module to be less than the fourth preset power; Under the eighth intelligent cooling strategy of the distribution room, controlling the operating power of the water-cooled cooling module to be less than the fifth preset power.

7. An intelligent cooling system for a distribution room, characterized in that, It includes a water-cooled cooling module, an air-cooled cooling module, a sensor module and a control module. The water-cooled cooling module, the air-cooled cooling module and the sensor module are respectively connected to the control module; The control module is used to obtain the internal and external environment parameters of the distribution room through the sensor module; The control module is also used to generate an intelligent cooling strategy for the distribution room under different scenarios based on the internal and external environment parameters of the distribution room by the K-Means clustering algorithm; The control module is also used to control the operating states of the water-cooled cooling module and the air-cooled cooling module according to the intelligent cooling strategy of the distribution room.

8. The intelligent cooling system for a distribution room according to claim 7, characterized in that, The air-cooled cooling module includes a cooling fan and an air exchange port; The cooling fan is fixed on the left wall inside the distribution room, the air exchange port is arranged on the right wall inside the distribution room, and the cooling fan and the air exchange port are arranged correspondingly; distribution equipment to be cooled is placed between the cooling fan and the air exchange port; the cooling fan and the air exchange port form an air duct; The cooling fan is used to perform heat exchange and refrigeration on the hot air in the distribution room.

9. The intelligent cooling system for the power distribution room according to claim 7, wherein The water-cooled cooling module includes a water-cooled air-conditioning main unit, a power distribution room cooling pipeline, power distribution equipment to be cooled, a cooling pipeline of the power distribution equipment to be cooled, a first heat exchanger, and a second heat exchanger; The inlets of the power distribution room cooling pipeline and the cooling pipeline of the power distribution equipment to be cooled are both connected to the water outlet of the water-cooled air-conditioning main unit. The first heat exchanger is arranged in the power distribution room. The outlet of the power distribution room cooling pipeline is connected to the cold medium inlet of the first heat exchanger. The second heat exchanger is installed outside the power distribution equipment to be cooled. The outlet of the cooling pipeline of the power distribution equipment to be cooled is connected to the cold medium inlet of the second heat exchanger. The cold medium outlets of the first heat exchanger and the second heat exchanger are connected to the water inlet of the water-cooled air-conditioning main unit through pipelines to form a circulation loop; The first heat exchanger and the second heat exchanger are used to exchange heat and refrigerate the hot air in the power distribution room and the power distribution equipment to be cooled respectively by using cold media.

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