Intelligent temperature control method and system based on power distribution cabinet

Abstract

The invention is suitable for the technical field of intelligent control of a power distribution cabinet, and provides an intelligent temperature control method and system based on the power distribution cabinet, and the method comprises the steps: firstly obtaining first real-time current data and second real-time current data, and then obtaining first historical current data according to the first real-time current data and first historical current data of historical time; and generating first detection current data according to the first real-time current data, generating second detection current data according to the second real-time current data and second historical current data of historical time, then determining abnormal temperature data, and finally generating temperature regulation data according to the abnormal temperature data and preset temperature data. The temperature of the power distribution cabinet can be detected in real time, the temperature change of the power distribution cabinet can be accurately tracked and recorded, and once the temperature abnormity is detected, the optimal temperature regulation scheme is automatically generated to ensure that the temperature is rapidly recovered to a normal range, the temperature balance control of the power distribution cabinet is realized, the service life of equipment is remarkably prolonged, and the power distribution cabinet is safe and reliable. And the maintenance and replacement cost caused by the temperature problem is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent control of power distribution cabinets, and in particular, to an intelligent temperature control method and system based on a power distribution cabinet. Background Art

[0002] The power distribution cabinet is a vital device in the power system. It is mainly used to convert AC power into DC power to supply battery packs or DC loads. It can provide high reliability and high efficiency power supply, ensure the safety and stability of power output, and is widely used in various industrial and commercial fields. It plays an important role in energy conversion and stable power supply. However, if the internal overheating or temperature out of control of the power distribution cabinet will cause serious production accidents, so it is of great significance and necessity to effectively control the temperature of the power distribution cabinet.

[0003] At present, due to the unique structure and layout of the equipment inside the distribution cabinet, the temperature distribution of the distribution cabinet is uneven. This uneven phenomenon makes it difficult to achieve comprehensive and accurate control of the temperature of the distribution cabinet. There are problems that are not conducive to precise control and need further improvement. Summary of the invention

[0004] Based on this, an embodiment of the present application provides an intelligent temperature control method and system based on a power distribution cabinet to solve the problem that the prior art is not conducive to precise control.

[0005] In a first aspect, an embodiment of the present application provides an intelligent temperature control method based on a power distribution cabinet, the method comprising:

[0006] Respectively obtain first real-time current data of a first area and second real-time current data of a second area of ​​a power distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module;

[0007] Generate first detection current data according to the first real-time current data and first historical current data at a historical time;

[0008] Generate second detection current data according to the second real-time current data and second historical current data at a historical time;

[0009] determining abnormal temperature data according to the first detection current data and the second detection current data;

[0010] Temperature adjustment data is generated according to the abnormal temperature data and the preset temperature data.

[0011] Compared with the prior art, the beneficial effect is as follows: in the intelligent temperature control method based on the distribution cabinet provided in the embodiment of the present application, the terminal device can first obtain the first real-time current data of the first area and the second real-time current data of the second area of ​​the distribution cabinet respectively, and then generate the first detection current data according to the first real-time current data and the first historical current data of the historical time, and then generate the second detection current data according to the second real-time current data and the second historical current data of the historical time, and then determine the abnormal temperature data according to the first detection current data and the second detection current data, and finally generate the temperature adjustment data according to the abnormal temperature data and the preset temperature data, so that the temperature of the distribution cabinet can be detected in real time, and the optimal temperature adjustment method is generated when the temperature abnormality is detected, so as to better realize the temperature balance control of the distribution cabinet, and to a certain extent solve the current problem that is not conducive to precise control.

[0012] In a second aspect, an embodiment of the present application provides an intelligent temperature control system based on a power distribution cabinet, the system comprising:

[0013] Real-time current data acquisition module: used to respectively acquire first real-time current data of a first area and second real-time current data of a second area of ​​the power distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module;

[0014] A first detection current data generating module: used for generating first detection current data according to the first real-time current data and first historical current data of historical time;

[0015] A second detection current data generating module: used for generating second detection current data according to the second real-time current data and second historical current data of historical time;

[0016] An abnormal temperature data determining module: used to determine abnormal temperature data according to the first detection current data and the second detection current data;

[0017] Temperature adjustment data generating module: used for generating temperature adjustment data according to the abnormal temperature data and the preset temperature data.

[0018] In a third aspect, an embodiment of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect described above when executing the computer program.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect described above are implemented.

[0020] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0022] Figure 1 It is a flow chart of an intelligent temperature control method provided in one embodiment of the present application;

[0023] Figure 2 It is a flowchart of step S100 in the intelligent temperature control method provided in one embodiment of the present application;

[0024] Figure 3 It is a schematic diagram of the process before step S200 in the intelligent temperature control method provided in one embodiment of the present application;

[0025] Figure 4 It is a flowchart of step S200 in the intelligent temperature control method provided in one embodiment of the present application;

[0026] Figure 5 It is a flowchart of step S300 in the intelligent temperature control method provided in one embodiment of the present application;

[0027] Figure 6 It is a flowchart of step S400 in the intelligent temperature control method provided in one embodiment of the present application;

[0028] Figure 7 It is a flowchart of step S500 in the intelligent temperature control method provided in one embodiment of the present application;

[0029] Figure 8 It is a module block diagram of an intelligent temperature control system provided by an embodiment of the present application;

[0030] Fig. 9 It is a schematic diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0032] In the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0033] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0034] In order to illustrate the technical solution described in this application, a specific embodiment is provided below for illustration.

[0035] See also Figure 1 , Figure 1 : is a flow chart of the intelligent temperature control method based on the power distribution cabinet provided in the embodiment of the present application. In the present embodiment, the execution subject of the intelligent temperature control method is a terminal device. It is understandable that the types of terminal devices include but are not limited to mobile phones, tablet computers, laptop computers, ultra-mobile personal computers (Ultra-Mobile Personal Computer, UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and the embodiment of the present application does not impose any restrictions on the specific types of terminal devices.

[0036] See also Figure 1 The intelligent temperature control method provided in the embodiment of the present application includes but is not limited to the following steps:

[0037] In S100, first real-time current data of a first area and second real-time current data of a second area of ​​a power distribution cabinet are respectively obtained.

[0038] Specifically, the terminal device can first obtain the first real-time current data of the first area of ​​the distribution cabinet, and then obtain the second real-time current data of the second area of ​​the distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module.

[0039] Specifically, the current of the main switch module of the power distribution cabinet is the main load of the entire power distribution cabinet system. If the current of the main switch module is evenly distributed in various parts, it can be inferred that the temperature distribution of the power distribution cabinet is also relatively balanced. The rectifier module is the core component of the power distribution cabinet, which is used to convert AC power into DC power for the system. By detecting the current of the rectifier module, the load conditions between different units can be understood, and further judgment can be made as to whether the temperature is evenly distributed.

[0040] Without loss of generality, in order to achieve comprehensive and accurate control of the temperature of the distribution cabinet, monitoring the temperature of the distribution cabinet is a key step. By monitoring the current changes in the distribution cabinet, the temperature of the distribution cabinet can be timely grasped. When the temperature of the distribution cabinet is too high, the current may exceed the safe range and even cause serious consequences such as equipment failure and fire. Excessive distribution cabinet temperature will lead to increased power loss, thereby increasing the emission of greenhouse gases such as carbon dioxide. By timely monitoring the current to determine whether the temperature exists, the operation of the power system can be effectively optimized, energy consumption can be reduced, and environmental pollution can be reduced.

[0041] In some possible implementations, in order to obtain the first real-time current data and the second real-time current data of the second area, refer to Figure 2 Step S100 includes but is not limited to the following steps:

[0042] In S110 , first side current data of the first region, first winding turn data, second winding turn data, and second side current data of the second region are acquired.

[0043] Specifically, the terminal device may first obtain the first side current data of the first area, and then obtain the second side current data of the second area, the first winding turn data, and the second winding turn data.

[0044] In S120, first real-time current data is determined according to the first side current data, the first winding turn data, and the second winding turn data.

[0045] Specifically, the terminal device may calculate the first real-time current data according to the first side current data, the first winding turns data, and the second winding turns data, wherein the calculation formula of the first real-time current data is: In the formula, I s1 is the first real-time current data, N p is the first winding turns data, N s is the second winding wire turns data, I p1 is the first side current data.

[0046] In S130, second real-time current data is determined according to the second side current data, the first winding turn data and the second winding turn data.

[0047] Specifically, the terminal device may calculate the second real-time current data according to the second side current data, the first winding turns data, and the second winding turns data, wherein the calculation formula of the second real-time current data is: In the formula, I s2 is the second real-time current data, N p is the first winding turns data, N s is the second winding wire turns data, I p2 is the second side current data.

[0048] In S200 , first detection current data is generated according to first real-time current data and first historical current data at a historical time.

[0049] Specifically, the terminal device can perform real-time current detection on the first area and the second area of ​​the power distribution cabinet, and generate first detection current data according to the first real-time current data and the first historical current data of the historical event.

[0050] In some possible implementations, in order to facilitate subsequent precise control, please refer to Figure 3 Before step S200, the method further includes but is not limited to the following steps:

[0051] In S201, real-time time data is acquired.

[0052] Specifically, the terminal device may obtain the real-time time data corresponding to the historical current data according to the historical current data to be obtained.

[0053] In S202 , a historical current data set is generated according to a plurality of first real-time current data and real-time time data.

[0054] Specifically, the terminal device can detect the current of the distribution cabinet in real time, and generate a historical current data set based on multiple first real-time current data and real-time time data of continuous current detection, wherein the historical current data set includes historical time point data and historical current data corresponding to each historical time point data.

[0055] In S203, the last detection time data and the last historical current data corresponding to the last detection time data are obtained according to the historical current data set.

[0056] Specifically, the terminal device can determine the detection time of the last current conversion into temperature based on the historical current data set, and determine the detection time of the last current conversion into temperature as the last detection time data, and obtain the last historical current data corresponding to the last detection time data.

[0057] In S204, the interval time data is determined according to the real-time time data and the last detection time data.

[0058] Specifically, the terminal device may determine the interval time data based on the last detection time data in combination with the real-time time data.

[0059] In S205, it is determined whether the interval time data is greater than or equal to the preset time data.

[0060] Specifically, the terminal device can compare the interval time data with the preset time data based on the interval time data to determine whether the interval time data is greater than or equal to the preset time data. If the interval time data is less than the preset time data, continue to obtain new real-time time data and current data corresponding to the real-time time data.

[0061] In S206, if the interval time data is greater than or equal to the preset time data, the first historical current data is determined according to the historical current data corresponding to each historical time point data in the interval time data.

[0062] Specifically, if the interval time data is greater than or equal to the preset time data, the terminal device can obtain the historical current data corresponding to each historical time point data in the interval time data, compare each historical current data with the preset comparison circuit data, and determine that the data with the largest data difference is the first historical current data, wherein the first historical current data includes each corresponding historical current data in the interval time data.

[0063] In some possible implementations, in order to generate the first detection current data, refer to Figure 4 Step S200 includes but is not limited to the following steps:

[0064] In S210 , first variance data of historical time is generated according to first real-time current data and first historical current data.

[0065] Specifically, the terminal device can determine the overall mean data and the overall case data of the current according to the first historical current data of the power distribution cabinet, and determine the first variance data of the historical time in combination with the first real-time current data, wherein the calculation formula of the first variance data is: In the formula, σ 2 is the first variance data, I is the first real-time current data, μ is the population mean data, and N is the population case number data.

[0066] In S220 , first detection current data within the interval time data is determined according to the first variance data and the preset expected data.

[0067] Specifically, the terminal device can determine the first detection current data of the first area of ​​the distribution cabinet within the interval time data based on the first variance data and the preset preset expected data, and further determine the temperature data within the first area based on the first detection current data, and perform temperature control on the temperature of the first area.

[0068] In S300 , second detection current data is generated according to the second real-time current data and the second historical current data at a historical time.

[0069] Specifically, the terminal device may generate second detected current data of the second area of ​​the power distribution cabinet according to the second real-time current data and the second historical current data within a historical period.

[0070] In some possible implementations, in order to realize the generation of the second detection current data, please refer to Figure 5 Step S300 includes but is not limited to the following steps:

[0071] In S310 , capacitance data and preset safety factor data of the capacitor module are obtained.

[0072] Specifically, the terminal device may first obtain the preset safety factor data of the power distribution cabinet, and then obtain the capacitance data of the capacitor module.

[0073] In S320 , first module current data of the capacitor module is determined according to the second historical current data and the capacitance data.

[0074] Specifically, the terminal device can determine the periodic data of the historical time according to the second historical current data, and obtain the peak data of the voltage of the first module of the distribution cabinet, and finally calculate and generate the first module current data of the capacitor module according to the capacitance data, the periodic data and the peak data of the voltage. The calculation formula of the first module current data is: Wherein, I is the current data of the first module, C is the capacitance data, U is the peak value data of the voltage, and T is the period data.

[0075] In S330, second module current data of the relay module is determined according to the second real-time current data, the second historical current data and the preset safety factor data.

[0076] Specifically, the maximum current data of the second module is determined according to the second historical current data, and the second module current data of the relay module of the power distribution cabinet is calculated according to the second real-time current data, the maximum current data and the preset safety factor data, wherein the calculation formula of the second module current data is: In the formula, I e is the current data of the second module, I m is the maximum current data, and k is the preset safety factor data.

[0077] In S340 , second detection current data is determined according to the first module current data and the second module current data.

[0078] Specifically, the terminal device can determine that the first module current data and the second module current data are second detection current data based on the first module current data of the capacitor module and the second module current data of the relay module, wherein the second detection current data includes the first module current data of the capacitor module and the second module current data of the relay module.

[0079] In S400 , abnormal temperature data is determined based on the first detection current data and the second detection current data.

[0080] Specifically, the terminal device can first calculate the temperature data of the first area of ​​the distribution cabinet based on the first detection current data, and then calculate the temperature data of the second area of ​​the distribution cabinet based on the second detection current data, and then perform a temperature judgment on the temperature data to determine whether there is any abnormality in the temperature data. If the temperature is abnormal, the abnormal temperature data is determined.

[0081] In some possible implementations, to determine abnormal temperature data, see Figure 6 Step S400 includes but is not limited to the following steps:

[0082] In S410 , first temperature data and second temperature data are determined according to the first detection current data and the second detection current data, respectively.

[0083] Specifically, the terminal device can first calculate the first temperature data based on the first detection current data of the first area of ​​the distribution cabinet, and then calculate the second temperature data based on the second detection current data of the second area of ​​the distribution cabinet. At the same time, the internal thermal power of the distribution cabinet can be calculated using the current data, and the temperature data of different areas of the distribution cabinet can be calculated using the principle of heat conduction. The calculation formula for the heat power is: P = I 2 ×R, where P is the heating power, I is the current data, and R is the resistance size.

[0084] In S420, it is determined whether the temperature of the power distribution cabinet is abnormal based on the first temperature data, the second temperature data and the reference temperature data.

[0085] Specifically, the terminal device can respectively compare the first temperature data and the reference temperature data of the first area of ​​the distribution cabinet, and the second temperature data and the reference temperature data of the second area of ​​the distribution cabinet, to determine whether the first temperature data is within the reference temperature data range, and to determine whether the second temperature data is within the reference temperature data range.

[0086] In S430, if the temperature of the power distribution cabinet is abnormal, abnormal temperature data is determined, wherein the abnormal temperature data includes abnormal area data and temperature data.

[0087] Specifically, if the first temperature data is outside the reference temperature data range or the second temperature data is outside the reference temperature data range, and it is determined that the temperature of the distribution cabinet is abnormal, the terminal device can determine the abnormal area data and temperature data with the abnormality based on the first temperature data and the second temperature data; otherwise, if the temperature of the distribution cabinet is not abnormal, the temperature detection time of the distribution cabinet is extended, wherein the abnormal temperature data includes abnormal area data and temperature data.

[0088] In S500 , temperature adjustment data is generated according to the abnormal temperature data and the preset temperature data.

[0089] Specifically, according to the preset temperature data of different areas of the distribution cabinet, the abnormal temperature data of the distribution cabinet is judged, and according to the abnormal temperature data of the distribution cabinet, the most appropriate temperature adjustment method is determined, and the temperature adjustment data is generated.

[0090] Specifically, the key to this application is to use current measurement to determine the temperature situation. When the distribution cabinet is operating normally, its current value is relatively stable. However, if the distribution cabinet fails or is overloaded, the current value may increase, and the energy conversion efficiency will decrease, resulting in more energy being converted into heat. When the current value increases abnormally, it is usually a signal that the temperature inside the distribution cabinet has increased. This may be caused by equipment failure, overload or other problems, which require timely measures to prevent further deterioration.

[0091] In some possible implementations, to achieve the generation of temperature adjustment data, see Figure 7 Step S500 includes but is not limited to the following steps:

[0092] In S510, abnormal keyword data is determined according to the abnormal temperature data and preset keyword data.

[0093] Specifically, when detecting the temperature of the distribution cabinet, the terminal device can mark the distribution cabinet with abnormal temperature with keywords, and record the corresponding temperature adjustment method after temperature adjustment. According to the abnormal temperature data, the most suitable keyword is obtained from the preset keyword data, and the abnormal temperature data is marked with abnormal keywords, and the abnormal keyword data is obtained at the same time.

[0094] In S520, historical abnormal temperature adjustment method data is obtained.

[0095] Specifically, the terminal device may obtain adjustment method data of historical abnormal temperatures with the same type of abnormal temperature data and abnormal keyword data, wherein the adjustment method data includes abnormal keyword data and temperature adjustment data.

[0096] In S530, temperature adjustment data is determined according to the adjustment method data and the abnormal keyword data.

[0097] Specifically, the terminal device can generate optimal temperature adjustment data based on the adjustment method data of the historical abnormal temperature of the distribution cabinet and the abnormal keyword data of the abnormal temperature area.

[0098] The implementation principle of the intelligent temperature control method based on the distribution cabinet in the embodiment of the present application is: the terminal device can first obtain the first real-time current data of the first area and the second real-time current data of the second area of ​​the distribution cabinet respectively, and then generate the first detection current data according to the first real-time current data and the first historical current data of the historical time, and then generate the second detection current data according to the second real-time current data and the second historical current data of the historical time, and then determine the abnormal temperature data according to the first detection current data and the second detection current data, and finally generate the temperature adjustment data according to the abnormal temperature data and the preset temperature data, so that the temperature of the distribution cabinet can be detected in real time, and the optimal temperature adjustment method is generated when the temperature abnormality is detected, so as to better realize the temperature balance control of the distribution cabinet and improve the stability and reliability of the equipment.

[0099] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] The embodiment of the present application also provides an intelligent temperature control system based on a power distribution cabinet. For ease of description, only the parts related to the present application are shown, such as Figure 8 As shown, the system 80 includes:

[0101] Real-time current data acquisition module 81: used to respectively acquire first real-time current data of a first area and second real-time current data of a second area of ​​the power distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module;

[0102] The first detection current data generating module 82 is used to generate the first detection current data according to the first real-time current data and the first historical current data of the historical time;

[0103] The second detection current data generating module 83 is used to generate the second detection current data according to the second real-time current data and the second historical current data of the historical time;

[0104] The abnormal temperature data determining module 84 is used to determine the abnormal temperature data according to the first detection current data and the second detection current data;

[0105] The temperature adjustment data generating module 85 is used to generate temperature adjustment data according to the abnormal temperature data and the preset temperature data.

[0106] Optionally, the real-time current data acquisition module 81 includes:

[0107] A data acquisition submodule: used to acquire first side current data of the first region, first winding turns data, second winding turns data and second side current data of the second region;

[0108] A first real-time current data determination submodule: used to determine the first real-time current data according to the first side current data, the first winding turns data and the second winding turns data;

[0109] The second real-time current data determining submodule is used to determine the second real-time current data according to the second side current data, the first winding turn data and the second winding turn data.

[0110] Optionally, the system 80 further includes:

[0111] Real-time time data acquisition module: used to obtain real-time time data;

[0112] A historical current data set generation module: used to generate a historical current data set according to a plurality of first real-time current data and real-time time data, wherein the historical current data set includes historical time point data and historical current data corresponding to each historical time point data;

[0113] The last detection time data acquisition module is used to obtain the last detection time data and the last historical current data corresponding to the last detection time data according to the historical current data set;

[0114] Interval time data determination module: used to determine the interval time data according to the real-time time data and the last detection time data;

[0115] Interval time data judgment module: used to judge whether the interval time data is greater than or equal to the preset time data;

[0116] The first historical current data determination module is used to determine the first historical current data according to the historical current data corresponding to each historical time point data in the interval time data if the interval time data is greater than or equal to the preset time data, wherein the first historical current data includes each corresponding historical current data in the interval time data.

[0117] Optionally, the first detection current data generating module 82 includes:

[0118] A first variance data generating submodule: used for generating first variance data of historical time according to the first real-time current data and the first historical current data;

[0119] The first detection current data determination submodule is used to determine the first detection current data within the interval time data according to the first variance data and the preset expected data.

[0120] Optionally, the second detection current data generating module 83 includes:

[0121] Capacitance data acquisition submodule: used to obtain capacitance data and preset safety factor data of the capacitor module;

[0122] A first module current data determination submodule: used to determine the first module current data of the capacitor module according to the second historical current data and the capacitance data;

[0123] Second module current data determination submodule: used to determine the second module current data of the relay module according to the second real-time current data, the second historical current data and the preset safety factor data;

[0124] The second detection current data determination submodule is used to determine the second detection current data according to the first module current data and the second module current data.

[0125] Optionally, the abnormal temperature data determination module 84 includes:

[0126] A temperature data determination submodule: used to determine first temperature data and second temperature data respectively according to the first detection current data and the second detection current data;

[0127] Abnormality judgment submodule: used to judge whether the temperature of the power distribution cabinet is abnormal according to the first temperature data, the second temperature data and the reference temperature data;

[0128] Abnormal temperature data determination submodule: used to determine abnormal temperature data if the temperature of the power distribution cabinet is abnormal, wherein the abnormal temperature data includes abnormal area data and temperature data.

[0129] Optionally, the temperature adjustment data generating module 85 includes:

[0130] Abnormal keyword data determination submodule: used to determine abnormal keyword data according to abnormal temperature data and preset keyword data;

[0131] Adjustment method data acquisition submodule: used to acquire adjustment method data of historical abnormal temperature, wherein the adjustment method data includes abnormal keyword data and temperature adjustment data;

[0132] Temperature adjustment data determination submodule: used to determine temperature adjustment data according to adjustment method data and abnormal keyword data.

[0133] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0134] The present application also provides a terminal device, such as Fig. 9 As shown, the terminal device 90 of this embodiment includes: a processor 91, a memory 92, and a computer program 93 stored in the memory 92 and executable on the processor 91. When the processor 91 executes the computer program 93, the steps in the above-mentioned intelligent temperature control method embodiment are implemented, for example Figure 1 Steps S100 to S500 shown; or, when the processor 91 executes the computer program 93, the functions of each module in the above device are realized, for example Figure 8 The functions of modules 81 to 85 are shown.

[0135] The terminal device 90 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server, and the terminal device 90 includes but is not limited to a processor 91 and a memory 92. Those skilled in the art will appreciate that Fig. 9 It is only an example of the terminal device 90 and does not constitute a limitation of the terminal device 90. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 90 may also include input and output devices, network access devices, buses, etc.

[0136] Among them, the processor 91 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0137] The memory 92 may be an internal storage unit of the terminal device 90, such as a hard disk or memory of the terminal device 90, or the memory 92 may be an external storage device of the terminal device 90, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal device 90; further, the memory 92 may also include both an internal storage unit and an external storage device of the terminal device 90, and the memory 92 may also store a computer program 93 and other programs and data required by the terminal device 90, and the memory 92 may also be used to temporarily store data that has been output or is to be output.

[0138] One embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of each of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.; the computer-readable medium may include: any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0139] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, all equivalent changes made according to the methods, principles, and structures of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent temperature control method based on a power distribution cabinet, characterized in that: The method comprises: Respectively obtain first real-time current data of a first area and second real-time current data of a second area of ​​a power distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module; Generate first detection current data according to the first real-time current data and first historical current data at a historical time; Generate second detection current data according to the second real-time current data and second historical current data at a historical time; determining abnormal temperature data according to the first detection current data and the second detection current data; Temperature adjustment data is generated according to the abnormal temperature data and the preset temperature data.

2. The method according to claim 1, characterized in that The method of respectively acquiring first real-time current data of a first area and second real-time current data of a second area of ​​the power distribution cabinet comprises: Acquire first side current data, first winding turns data, second winding turns data of the first region, and second side current data of the second region; Determining the first real-time current data according to the first side current data, the first winding turns data, and the second winding turns data; The second real-time current data is determined according to the second side current data, the first winding turns data and the second winding turns data.

3. The method according to claim 1, characterized in that Before generating the first detection current data according to the first real-time current data and the first historical current data at a historical time, the method includes: Get real-time time data; Generate a historical current data set according to the first real-time current data and the real-time time data, wherein the historical current data set includes historical time point data and historical current data corresponding to each historical time point data; According to the historical current data set, obtaining the last detection time data and the last historical current data corresponding to the last detection time data; Determine interval time data according to the real-time time data and the last detection time data; Determine whether the interval time data is greater than or equal to the preset time data; If the interval time data is greater than or equal to the preset time data, the first historical current data is determined according to the historical current data corresponding to each historical time point data in the interval time data, wherein the first historical current data includes each corresponding historical current data in the interval time data.

4. The method according to claim 3, characterized in that The step of generating first detection current data according to the first real-time current data and first historical current data at a historical time includes: Generate first variance data of historical time according to the first real-time current data and the first historical current data; The first detection current data within the interval time data is determined according to the first variance data and preset expected data.

5. The method according to claim 4, characterized in that The step of generating second detection current data according to the second real-time current data and second historical current data at a historical time includes: Acquiring capacitance data and preset safety factor data of the capacitor module; Determining first module current data of the capacitor module according to the second historical current data and the capacitance data; Determining second module current data of the relay module according to the second real-time current data, the second historical current data and the preset safety factor data; The second detection current data is determined according to the first module current data and the second module current data.

6. The method according to claim 5, characterized in that The determining abnormal temperature data according to the first detection current data and the second detection current data includes: Determine first temperature data and second temperature data respectively according to the first detection current data and the second detection current data; Determining whether the temperature of the power distribution cabinet is abnormal according to the first temperature data, the second temperature data and the reference temperature data; If the temperature of the power distribution cabinet is abnormal, abnormal temperature data is determined, wherein the abnormal temperature data includes abnormal area data and temperature data.

7. The method according to claim 1, characterized in that The step of generating temperature adjustment data according to the abnormal temperature data and the preset temperature data comprises: Determining abnormal keyword data according to the abnormal temperature data and preset keyword data; Acquire historical abnormal temperature adjustment method data, wherein the adjustment method data includes abnormal keyword data and temperature adjustment data; The temperature adjustment data is determined according to the adjustment method data and the abnormal keyword data.

8. An intelligent temperature control system based on a power distribution cabinet, characterized in that: The system comprises: Real-time current data acquisition module: used to respectively acquire first real-time current data of a first area and second real-time current data of a second area of ​​the power distribution cabinet, wherein the first area includes a main switch module and a rectifier module, and the second area includes a capacitor module and a relay module; A first detection current data generating module: used for generating first detection current data according to the first real-time current data and first historical current data of historical time; A second detection current data generating module: used for generating second detection current data according to the second real-time current data and second historical current data of historical time; An abnormal temperature data determining module: used to determine abnormal temperature data according to the first detection current data and the second detection current data; Temperature adjustment data generating module: used for generating temperature adjustment data according to the abnormal temperature data and the preset temperature data.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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