A high-performance electrical cabinet temperature control protection method and system

Abstract

The application relates to the technical field of cabinets, and provides a high-efficiency electrical cabinet temperature control protection method and system. The method comprises the following steps: analyzing the internal and external structures and compositions of an electrical cabinet, and constructing a three-level temperature control analysis space; based on the space, performing parameter cross decomposition, and analyzing the interaction of temperature control parameters between regions; according to the cross relationship, building an evaluation model, including temperature control parameters, energy efficiency values and evaluation results; under the premise of the best evaluation results, taking the minimum energy efficiency value as the target, performing parameter combination search, and obtaining a temperature control protection strategy. The application solves the technical problem that, in the running process of the electrical cabinet, the internal and external heat exchange is complex, leading to overheating of internal elements of the cabinet or excessive energy consumption, and achieves the technical effects that, under the premise of guaranteeing the safety and stability of the internal environment of the cabinet, through three-level space analysis and parameter interaction optimization, accurate analysis and optimization of partition temperature control are realized, the temperature control protection efficiency is improved, and the overall energy consumption is reduced.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of cabinets, in particular to a high-efficiency electrical cabinet temperature control protection method and system. BACKGROUND

[0002] In the wide application of modern electrical and electronic equipment, the electrical cabinet as an important carrier of various control equipment, communication equipment and power devices, the stability of its operating environment is directly related to the reliability and service life of the equipment. With the continuous improvement of the integration of the cabinet and the gradual increase of the power density, the heat generated by the cabinet during operation increases significantly. If the temperature control measures are improper, it is easy to cause local overheating, system efficiency reduction and even key device failure, thereby causing safety hazards and energy waste. The traditional temperature control method mainly depends on single heat dissipation design or fixed cooling means, and often lacks fine analysis of the overall correlation between the internal and external environments of the cabinet, and cannot fully reflect the complexity of heat transfer and temperature control interaction between different regions, resulting in problems of response lag and low energy efficiency of the temperature control strategy. SUMMARY

[0003] The application provides a high-efficiency electrical cabinet temperature control protection method and system, which aims to solve the technical problem of overheating or excessive energy consumption of internal components of the electrical cabinet due to complex internal and external heat exchange during operation.

[0004] The first aspect of the application provides a high-efficiency electrical cabinet temperature control protection method, which comprises: analyzing the correlation between the internal and external structures, components and temperature control protection of the electrical cabinet, establishing an internal, intermediate and external three-level temperature control analysis space, the internal, intermediate and external three-level temperature control analysis space is divided into three spaces of internal region, transition region and external region according to the heat transfer space, including the correlation parameters and temperature control protection correlation of each space; based on the internal, intermediate and external three-level temperature control analysis space, the cross relationship of each parameter is decomposed, and the temperature control parameter interaction between different regions is analyzed; according to the cross relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency value and temperature control evaluation result; on the basis of the best temperature control evaluation result, the temperature control parameter combination search is carried out with the minimum energy efficiency value as the target, and the temperature control protection strategy is obtained.

[0005] Another aspect of the present application provides a high-efficiency electrical cabinet temperature control protection system, the system comprising: a correlation analysis module: analyzing the internal and external structure, composition and temperature control protection correlation of the electrical cabinet, establishing an internal, middle and external three-level temperature control analysis space, the internal, middle and external three-level temperature control analysis space is divided into three spaces of internal region, transition region and external region according to heat transfer space, including the correlation parameters and temperature control protection correlation of each space; a cross relationship decomposition module: based on the internal, middle and external three-level temperature control analysis space, the cross relationship of each parameter is decomposed, and the temperature control parameter interaction between different regions is analyzed; an evaluation model building module: according to the cross relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency value and temperature control evaluation result; a temperature control parameter search module: based on the best temperature control evaluation result, the minimum energy efficiency value is taken as the target, the temperature control parameter combination search is carried out, and the temperature control protection strategy is obtained.

[0006] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0007] The above-mentioned high-efficiency electrical cabinet temperature control protection method first analyzes the internal structure, external environment and transition relationship between the electrical cabinet, divides the entire cabinet environment into three temperature control spaces of internal, transition and external, and clearly defines the parameter characteristics in each space and the correlation with temperature control protection. Then, the cross relationship of the temperature control parameters between different regions is analyzed to reveal the influence and action mechanism between the parameters. Then, an evaluation model is established according to these relationships, and the temperature control parameters, energy efficiency index and temperature control effect are integrated to model and quantify. Finally, under the premise of ensuring the best temperature control effect, the energy consumption is reduced as the optimization target, the optimal temperature control protection strategy is determined through parameter combination search, and the high efficiency and intelligentization of cabinet temperature control are realized.

[0008] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work.

[0010] Figure 1 It is a flowchart of a high-efficiency electrical cabinet temperature control protection method in an embodiment.

[0011] Figure 2 This is a diagram illustrating the architecture of a high-efficiency electrical cabinet temperature control and protection system in one embodiment.

[0012] Figure labeling: Module 11 for correlation analysis, Module 12 for cross-relationship decomposition, Module 13 for evaluation model building, and Module 14 for temperature control parameter search. Detailed Implementation

[0013] This application provides a high-efficiency electrical cabinet temperature control and protection method and system to solve the technical problem of overheating of internal components or excessive energy consumption caused by complex internal and external heat exchange during the operation of electrical cabinets.

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0015] It should be noted that the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such process, method, product, or device.

[0016] Example 1, as Figure 1 As shown, this application provides a high-efficiency electrical cabinet temperature control and protection method, the method comprising:

[0017] The relationship between the internal and external structure and composition of the electrical cabinet and its temperature control protection is analyzed, and a three-level temperature control analysis space is established. The three-level temperature control analysis space is divided into three layers according to the heat transfer space: internal area, transition area and external area. The correlation parameters of each space and the correlation of temperature control protection are included.

[0018] In the embodiments of the present application, in view of the complexity of temperature control protection of the electrical cabinet, firstly, the internal space structure, cabinet body composition and external environment of the electrical cabinet are analyzed, and based on the heat transfer characteristics of the cabinet, the electrical cabinet is divided into three levels of internal region, transition region and external region to form three-level temperature control analysis space, wherein the internal region mainly refers to the operation space of the internal equipment of the cabinet, and the associated parameters include power heating parameters of electrical elements, air flow conditions, etc.; the transition region is the cabinet body itself and the part in contact with the external environment, and the associated parameters include cabinet wall materials, heat insulation performance, etc.; the external region is the external environment of the cabinet, and the associated parameters include external temperature and humidity, air flow distribution, etc. By establishing the three-level temperature control analysis space, the parameter distribution and protection relevance of each space itself related to temperature control protection can be obtained, and the heat transfer relationship of different spaces can be determined, which provides sufficient space mapping and parameter support for subsequent temperature control parameter analysis, cross relationship decomposition and protection strategy design, and ensures that the temperature control protection strategy of the electrical cabinet is comprehensive and scientific.

[0019] Further, the present application provides an analysis of the internal and external structure, composition and temperature control protection of the electrical cabinet, establishes a three-level temperature control analysis space, including:

[0020] According to the internal space of the cabinet, the transition region of the cabinet body and the external environment, and the external environment of the cabinet as the three-level division standard, the electrical cabinet space is divided; based on the physical structure distribution and parameter composition in the divided space, the characteristic parameters are extracted; the correlation between the characteristic parameters and the temperature control protection is established, and the correlation is embedded into the electrical cabinet space division according to the mapping relationship of the divided space, to obtain the three-level temperature control analysis space.

[0021] Preferably, firstly, the overall environment space of the electrical cabinet is divided into three areas according to different function levels based on the heat transfer path, which are the cabinet internal space, the transition area of the cabinet body and the external environment in contact with the outside, and the external environment where the cabinet is located, wherein the cabinet internal space mainly includes electrical components, circuit boards, heat dissipation air ducts and other structures, which is the core area of heat generation and accumulation; the transition area is composed of cabinet body materials, heat dissipation holes, sealing devices and the like, and plays a bridge role of heat conduction from the inside to the outside; the external environment includes the surrounding air temperature and humidity, airflow conditions and external heat dissipation conditions, and is the space where the heat of the cabinet is finally released. After completing the space segmentation, for each segmented space, the feature parameters are extracted from the physical structure distribution and parameter composition of the historical sample data set, and the feature parameters of each segmented space are obtained, for example, the component power consumption, heat intensity, device arrangement density, air flow rate and other parameters of the cabinet internal space; the cabinet body material thermal conductivity, wall thickness, number and distribution of ventilation openings, radiator structure and other parameters of the transition area; the environmental temperature, humidity, airflow direction and speed, external heat exchange capacity and other parameters of the external environment. Then, the extracted feature parameters and the temperature control protection are associated, for example, the corresponding relationship between device power and internal heat source intensity, the corresponding relationship between component heat intensity and internal temperature rise, the corresponding relationship between cabinet thermal conductivity and heat conduction efficiency, and the corresponding relationship between environmental airflow and heat dissipation capacity. By establishing such parameter-temperature control protection correlation, the function of each parameter in the entire heat conduction link can be determined. Finally, according to the mapping relationship between the feature parameters and the segmented space, the feature parameters and their corresponding temperature control protection correlation are embedded into the corresponding segmented space to form a complete internal-external three-level temperature control analysis space that can reflect the parameter distribution, heat transfer and protection correlation, providing an operable data basis for subsequent cross relationship decomposition and optimization strategy.

[0022] Further, the application provides feature parameter extraction based on physical structure distribution and parameter composition in the segmented space, including:

[0023] Taking temperature control protection as the top event, the correlation factors are decomposed based on the historical sample data set; the correlation factors are used as indexes to search the correlation degree of the physical structure distribution and parameter composition in the segmented space, and the feature parameters are extracted based on the correlation degree.

[0024] Optionally, first set the temperature control protection as the top event, that is, keep the temperature of the electrical cabinet controllable and prevent overheating failure during operation as the target event, and collect the historical sample data set under this target event, which includes historical environment data, historical operation data, historical state data, etc. Then, the correlation degree of each parameter in the historical sample data set and the temperature in the cabinet is calculated using the Pearson correlation coefficient, and the parameters that meet the correlation threshold are selected as the correlation factors, such as environmental temperature, component power consumption, heat dissipation efficiency, humidity, air flow rate, and cabinet thermal conductivity. Subsequently, the above correlation factors are used as indexes to analyze the physical structure distribution and parameter composition in each layer region after the cabinet space is divided. In this process, the correlation degree between different parameters and correlation factors is quantified for objects such as structural space, heat dissipation design, and space equipment arrangement, and parameters with significant correlation are selected as characteristic parameters, providing a solid parameter basis for subsequent establishment of temperature control analysis space and construction of evaluation model.

[0025] Further, the present application provides that the correlation factors are used as indexes to search the correlation degree of the physical structure distribution and parameter composition in the divided space, and the characteristic parameters are extracted based on the correlation degree, including:

[0026] The physical structure distribution in the divided space is decomposed in terms of structural space, heat dissipation design, and space equipment arrangement distribution; the parameter composition of each dimension is extracted based on the decomposed structural space, heat dissipation design, and space equipment arrangement distribution; the correlation factors are used as indexes to analyze the correlation degree with the parameter composition, and the correlation parameter composition is extracted according to the correlation degree threshold to obtain the characteristic parameters.

[0027] Preferably, the physical structure distribution of each region of the electrical cabinet after spatial segmentation is first decomposed, mainly including three dimensions of structural space, heat dissipation design and spatial equipment arrangement. In terms of structural space, the geometric size of the cabinet, material properties (such as the thermal conductivity, heat capacity and surface emissivity of the cabinet material), and the installation environment of the external region (such as the position of the cabinet in the computer room and the distance from the surrounding equipment) are analyzed. In terms of heat dissipation design, the heat dissipation device, fan, heat dissipation fin and their coverage range inside the cabinet, as well as the number, size and position of the heat dissipation holes on the surface of the cabinet are analyzed. In terms of spatial equipment arrangement, the types of electrical elements arranged inside the cabinet, the number of equipment and their arrangement and distribution characteristics (such as arrangement mode and spacing) are analyzed. Then, according to the characteristics of each dimension decomposition, the actual parameters corresponding to each characteristic key name are extracted, and the extracted parameters are stored to form a parameter set. Then, the determined associated factors related to temperature control protection are used as indexes to analyze the correlation degree of the above extracted parameters. In this process, the Pearson correlation coefficient is used to calculate the correlation degree of each parameter and the associated factor, and the parameters with a correlation degree greater than or equal to the correlation degree threshold are extracted to obtain the final characteristic parameter set. This process ensures that the most critical parameters for temperature control protection can be accurately extracted from complex physical structures and environmental factors, providing a reliable data basis for subsequent cross relationship analysis and evaluation model establishment.

[0028] Based on the inner, middle and outer three-level temperature control analysis space, the cross relationship of each parameter is decomposed, and the interaction of temperature control parameters between different regions is analyzed.

[0029] In one embodiment, after establishing the inner, middle and outer three-level temperature control analysis space, the parameters of the internal space, the transition space and the external space are first analyzed independently to determine the heat dissipation mechanism and heat dissipation path of each space. Then, the heat dissipation mechanism and heat dissipation path between spaces are connected and mapped, and the cross relationship between parameters is analyzed by analyzing the conduction relationship between heat dissipation mechanisms and heat dissipation paths. Then, according to the cross relationship, the interaction of temperature control parameters between different regions is identified, including the mutual enhancement or inhibition mode, and the synergistic effect between different heat dissipation equipment, structural design and environmental conditions, such as the mutual restraint relationship between device heating and cabinet heat dissipation capacity, and the synergistic effect between internal air flow and external environmental air flow. By quantifying the relationship between each parameter in different spaces and levels, the complex heat transfer and temperature control coupling mechanism between the internal, transition and external spaces can be revealed, thereby laying a foundation for formulating efficient and energy-saving temperature control protection strategies.

[0030] Further, the present application provides cross relationship decomposition of each parameter based on the inner, middle and outer three-level temperature control analysis space, including:

[0031] According to the inner, middle and outer three-level temperature control analysis space, the heat dissipation mechanism and heat dissipation path in each analysis space are analyzed, and the heat dissipation mechanism and heat dissipation path are spliced according to the continuous conduction relationship of the inner, middle and outer three levels to obtain a full-level heat dissipation path; based on the heat dissipation mechanism, the inter-level conduction relationship of the full-level heat dissipation path is analyzed to determine the temperature control protection effect of the inter-level parameters, and an intersection relationship is obtained, the intersection relationship includes interaction relationship and cooperative relationship.

[0032] Optionally, first, according to the division of the inner, middle and outer three-level temperature control analysis space, the heat dissipation mechanism and heat dissipation path in each divided space are analyzed one by one. Specifically, in the internal region, the heat dissipation mechanism mainly reflects the relationship between the self-heating of electrical elements and the air convection heat dissipation, and the heat dissipation path includes the heat transfer from the element surface to the surrounding air and the conduction and convection in the air circulation in the cabinet; in the transition region, the heat dissipation mechanism mainly depends on the heat conduction ability of the cabinet wall material, the heat transfer ability of the heat dissipation hole and the conduction path of the heat dissipation device, and the heat dissipation path is the heat transfer from the internal air to the outside through the cabinet wall or the heat dissipation hole; in the external region, the heat dissipation mechanism depends on the external environment airflow condition and the influence of temperature and humidity on heat diffusion, and the heat dissipation path is the convection, radiation and diffusion process of the heat released by the cabinet to the external space. After completing the analysis of the heat dissipation mechanism and path of each layer space, the heat dissipation paths of the three divided spaces are spliced into a whole full-level heat dissipation path according to the continuous heat conduction order of the inner, middle and outer three levels. The full-level heat dissipation path can fully present the complete process of heat generation from the equipment interior, transmission through the cabinet and dissipation to the external environment, and reveal the conduction link and energy loss of heat between different levels. After obtaining the full-level heat dissipation path, the heat transfer direction and efficiency between adjacent levels are compared according to the heat dissipation mechanism of each divided space, and the temperature control protection effect between the parameters of each level is judged. If the conduction direction is consistent and the transfer efficiency promotes each other, it is determined that the temperature control protection effect is a cooperative relationship, that is, different level parameters cooperate with each other to improve the overall temperature control effect; if the conduction direction is inconsistent or the transfer efficiency offsets each other, it is determined that the temperature control protection effect is an interaction relationship, which means that some parameters restrict or interfere with the overall temperature control effect. Finally, the temperature control protection effects of the parameters between the levels obtained by the judgment are summarized to form an intersection relationship result, and the intersection relationship result includes the interaction relationship and the cooperative relationship, which provides a theoretical basis and executable basis for the subsequent temperature control evaluation model establishment and optimization.

[0033] Further, the application provides that the interaction relationship describes the mutual influence relationship between the temperature control factors in the cabinet; and the cooperative relationship describes the cooperative effect of different cooling devices and heat dissipation designs, which jointly affect the temperature control effect of the cabinet.

[0034] Optionally, the interaction relationship and the synergistic relationship are used to describe the action mechanism between different factors in the cabinet temperature control system, wherein the interaction relationship refers to the relationship between the mutual influence and mutual restriction of various temperature control factors in the cabinet, for example, the heat generated by the equipment in the cabinet will directly cause the internal temperature to rise, and the change of air flow rate and flow direction will affect the diffusion efficiency of the heat, if the equipment is arranged too densely, it may hinder the air circulation and cause local temperature rise, the mutual influence between these factors constitutes the interaction relationship. By analyzing the interaction relationship, it can be determined that different parameters in the cabinet are not independent, but will jointly affect the overall temperature control effect in the form of promotion or inhibition. The synergistic relationship refers to the complementation and cooperation between different cooling equipment or heat dissipation designs in function, for example, the fan device in the cabinet can enhance air flow, and the heat dissipation hole on the surface of the cabinet provides a channel for air inlet and outlet, when the two are reasonably designed and run at the same time, the synergistic effect of air circulation and heat dissipation path is formed, thereby significantly improving the heat dissipation efficiency, and the cooperation of the liquid cooling device and the high thermal conductivity cabinet material can also form a synergistic effect in the aspects of heat conduction and heat dissipation. By determining the interaction relationship and the synergistic relationship, the action mechanism between various temperature control parameters can be fully revealed, thereby providing sufficient data support and theoretical basis for the establishment of subsequent temperature control evaluation model and the acquisition of optimal temperature control strategy.

[0035] Further, the application provides an inter-level conduction relationship analysis of the full-level heat dissipation path based on the heat dissipation mechanism, to determine the temperature control protection effect of the inter-level parameters, including:

[0036] According to the heat dissipation mechanism of each partitioned space, the influence relationship between the space parameters and the temperature control protection result is analyzed, and the temperature control effect and the transmission efficiency of each space level are obtained respectively; based on the full-level heat dissipation path, the temperature control effect and the transmission efficiency conduction relationship between adjacent levels are analyzed, when the conduction direction and the transmission efficiency are consistent, the synergistic relationship is determined; when the conduction direction or the transmission efficiency is inconsistent, the interaction relationship is determined.

[0037] Optionally, firstly, according to the heat dissipation mechanism of the internal region, the transition region and the external region of the cabinet, the relationship between the space parameters and the temperature control protection results is analyzed, for example, in the internal region, the corresponding relationship between the equipment heat, air flow and temperature change is mainly investigated; in the transition region, the relationship between the heat conduction performance of the cabinet material, the layout of the heat dissipation hole and the heat conduction efficiency is focused on; in the external region, the influence of environmental temperature and humidity, air flow direction and speed and other factors on the final heat dissipation effect is analyzed. Through the above analysis, the temperature control effect and the heat transfer efficiency of each space level can be obtained. After obtaining the graded temperature control effect and the transfer efficiency, the conduction relationship between adjacent levels is comprehensively analyzed based on the full-level heat dissipation path. When the internal heat can be smoothly transferred from the internal region to the transition region along the full-level heat dissipation path, and finally effectively dissipated to the external environment, and the heat transfer direction and the transfer efficiency remain consistent in the process, it is determined that a cooperative relationship is formed between the levels, which means that the temperature control parameters of different regions can cooperate with each other to achieve the best heat dissipation effect. However, when the heat transfer direction between levels deviates or the heat transfer efficiency at a certain level significantly decreases, making it difficult for internal heat to be effectively transferred out, it indicates that there is a contradiction or conflict between the temperature control parameters of different regions. At this time, the relationship is determined as an interactive relationship, for example, insufficient air circulation in the internal region leads to heat retention, or the heat conduction performance of the cabinet is insufficient to match the equipment heat, which will cause an interactive relationship. In this way, through the layer-by-layer analysis and judgment of the conduction relationship between levels, not only can the cooperative relationship and the interactive relationship be accurately distinguished, but also a complete logical support is provided for the subsequent temperature control parameter optimization and protection strategy formulation.

[0038] Table 1: Example table of space parameter influence relationship of cabinet partition space

[0039]

[0040] As shown in the above Table 1, the table shows the main heat dissipation mechanism, space parameter, corresponding temperature control effect and transfer efficiency of the internal region, transition region and external region, which provides data basis for building evaluation relationship model for subsequent cross relationship analysis and evaluation.

[0041] According to the cross relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency value and temperature control evaluation results.

[0042] In one embodiment, in order to accurately evaluate the temperature control protection effect of the cabinet, on the basis of cross relationship analysis, a corresponding characteristic parameter is configured for each relationship, and then according to the characteristic parameters, the energy efficiency value and the temperature control evaluation result are taken as the evaluation indexes of the model, the mapping relationship between the temperature control parameters and the energy efficiency value and the temperature control result is established, the interaction and the synergistic effect between the parameters are quantitatively expressed, and an evaluation relationship model capable of simultaneously representing the temperature control effect and the energy consumption performance is constructed. The evaluation relationship model can realize accurate evaluation of the temperature control effect, and can also provide reliable quantitative basis and execution path for subsequent temperature control parameter optimization and protection strategy search.

[0043] Further, the application provides an evaluation relationship model built according to cross relationships, including:

[0044] According to the interaction relationship and the synergistic relationship, a corresponding characteristic parameter set is extracted, including temperature, humidity, load and heat dissipation effect; the characteristic parameter set is expressed in relation to the influence relationship of the interaction relationship, the synergistic relationship and the temperature control protection result, a temperature control evaluation model is constructed, including temperature control parameters and temperature control effect, and the interaction relationship and the synergistic relationship are quantitatively expressed by a data-driven method; on the basis of the temperature control evaluation model, the energy efficiency value and the relationship between the temperature control parameters are fitted by analyzing the energy efficiency under the temperature control strategy, and an energy consumption evaluation model is constructed; the temperature control evaluation model and the energy consumption evaluation model are connected to build the evaluation relationship model.

[0045] Optionally, first, the feature parameter set related to temperature control protection is extracted according to the cross relationship decomposition result, and the interaction relationship and the synergistic relationship are mapped into the corresponding parameter set respectively, so as to form the feature parameter set. This feature parameter set not only contains basic environmental parameters such as temperature and humidity, but also includes parameters such as device running load, heat dissipation efficiency, air flow rate, and cabinet heat conduction performance, which are closely related to the temperature control protection effect. Subsequently, historical operation data is collected and the corresponding temperature control effect is labeled, and the feature parameter set is expressed in relation to the influence mechanism of the interaction relationship and the synergistic relationship on the temperature control protection result. For example, for the interaction relationship parameters, a nonlinear regression or decision tree model can be used to quantify the negative correlation between the temperature control effect (for example, the maximum temperature rises by 2℃ for every 10% increase in internal load); for the synergistic relationship parameters, a multiple linear regression or neural network model can be used to quantify the positive correlation between the temperature control effect (for example, the temperature uniformity improves by 15% for every 50 CFM increase in fan CFM). Then, the historical operation data is input into the corresponding model for training to make the quantification of the interaction relationship and the synergistic relationship more accurate, so as to reflect the contribution of each factor to the temperature control effect, thereby obtaining a more accurate temperature control effect evaluation. Then, on the basis of the temperature control evaluation model, energy consumption data (such as fan power and air conditioner power consumption) and corresponding temperature control parameters under different temperature control strategies (such as adjusting fan speed and changing air conditioner set temperature) are collected, and a polynomial regression or support vector machine (SVM) model is used to fit the nonlinear relationship between energy efficiency and temperature control parameters using these historical data, thereby constructing an energy consumption evaluation model. This energy consumption evaluation model can quantitatively reflect the performance in energy consumption while meeting the temperature control requirements, ensuring that the evaluation result not only considers the temperature control effect, but also considers the energy efficiency goal. Finally, the temperature control evaluation model and the energy consumption evaluation model are connected to form a complete evaluation relationship model, which outputs a comprehensive result through a double constraint mechanism, thereby realizing the coordination and unity of temperature control performance and energy efficiency goal, and ensuring the safety and efficiency of the electrical cabinet during operation.

[0046] On the basis of the best temperature control evaluation result, the temperature control parameter combination search is performed with the minimum energy efficiency value as the target, and the temperature control protection strategy is obtained.

[0047] In one embodiment, the optimal temperature control effect is first determined by the temperature control evaluation model, that is, under the combination of various temperature control parameters, the internal temperature of the cabinet is stable, the humidity is suitable, the equipment running load is kept in the safe range, and the like, to ensure that it is in an ideal working environment. Subsequently, taking the optimal temperature control effect as the basis, taking the energy efficiency value as the optimization target, calculating the energy efficiency value brought by the energy consumption evaluation model, and under the premise of ensuring that the temperature control effect does not decrease, screening out the temperature control parameter combination with the minimum energy efficiency value, and taking the temperature control parameter combination as the optimal temperature control protection strategy. This temperature control protection strategy can not only effectively control the temperature and humidity and the like of the internal environment of the cabinet, ensure the safe and stable operation of the equipment, but also maximize the reduction of energy consumption while optimizing the temperature control effect, so as to achieve the purpose of energy saving and consumption reduction.

[0048] Further, the application provides searching the temperature control parameter combination based on the optimal temperature control evaluation result and taking the minimum energy efficiency value as the target, obtaining the temperature control protection strategy, including:

[0049] The internal, external and intermediate parameter monitoring values of the electrical cabinet are collected to screen the preliminary temperature control parameters of the electrical cabinet equipment temperature control protection target; the temperature control evaluation is performed by the evaluation relationship model according to the preliminary temperature control parameters, taking the optimal temperature control evaluation result as the target, and the temperature control parameter set satisfying the equipment temperature control protection target is obtained through iterative search; the energy consumption evaluation model is used to perform energy consumption evaluation search on the temperature control parameter set, taking the minimum energy efficiency value as the target, and the temperature control parameter with the minimum energy consumption is obtained to obtain the temperature control protection strategy.

[0050] Optionally, first, by real-time monitoring of the internal environment of the electrical cabinet, the transition area and the external environment, the key parameter data of each area is collected, including temperature, humidity, air flow speed, equipment load, heat dissipation efficiency, etc. These parameter data provide a basis for the subsequent temperature control protection strategy. Subsequently, according to these monitoring values, combined with the temperature control protection target of the cabinet equipment, the relevant temperature control parameters are preliminarily screened out, and multiple random assignments are performed, for example, fan speed, fan power, air conditioner set temperature, etc. These parameters will be used as the preliminary temperature control parameter set for subsequent evaluation and optimization. Then, based on the preliminary screening of the temperature control parameter set, the temperature control effect evaluation is carried out by using the temperature control evaluation relationship model. The temperature control evaluation model will calculate the temperature control effect of the cabinet under certain conditions according to different temperature control parameter combinations, and screen out the temperature control parameters that meet the equipment temperature control protection target. This process will be repeated until the maximum iteration number is reached, so as to obtain multiple temperature control parameter sets that meet the equipment temperature control protection target, and ensure that the equipment achieves the best temperature control effect in the working process. Then, for these temperature control parameter sets, the energy consumption evaluation model is used to evaluate the energy efficiency of each temperature control parameter set, calculate the energy consumption under different temperature control parameter combinations, and screen out all the effective temperature control parameter sets whose energy efficiency is less than or equal to the preset energy efficiency value. Then, the temperature control protection strategy is extracted from the effective temperature control parameter set with the minimum energy efficiency, so as to ensure that the electrical cabinet realizes efficient temperature control while maintaining the lowest energy consumption level.

[0051] In summary, the embodiments of the present application have at least the following technical effects:

[0052] The embodiments of the present application first analyze the internal and external structure, composition and temperature control protection of the electrical cabinet, establish a three-level temperature control analysis space, and the three-level temperature control analysis space is divided into three spaces according to the heat transfer space, including the internal area, the transition area and the external area, and the associated parameters and temperature control protection correlation of each space; then, based on the three-level temperature control analysis space, the cross relationship of each parameter is decomposed, and the interaction of the temperature control parameters between different areas is analyzed; then, according to the cross relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency, and temperature control evaluation results; finally, based on the best temperature control evaluation result, the temperature control parameter combination search is carried out with the minimum energy efficiency as the target, and the temperature control protection strategy is obtained. These technical effects jointly solve the technical problem that the internal components of the electrical cabinet are overheated or the energy consumption is too large due to the complex internal and external heat exchange during the operation of the electrical cabinet, and achieve the technical effect of realizing accurate analysis and optimization of partition temperature control, improving temperature control protection efficiency and reducing overall energy consumption on the premise of ensuring the safety and stability of the internal environment of the cabinet through three-level space analysis and parameter interaction optimization.

[0053] Embodiment two, based on the same inventive concept as the high-efficiency electrical cabinet temperature control protection method in the foregoing embodiment, Figure 2As shown, the present application provides a high-efficiency electrical cabinet temperature control protection system, which comprises: a correlation analysis module 11: analyzing the internal and external structure, composition and temperature control protection correlation of the electrical cabinet, establishing an internal, middle and external three-level temperature control analysis space, which is divided into three spaces of internal, transition and external regions according to the heat transfer space, including the correlation parameters and temperature control protection correlation of each space; a cross relationship decomposition module 12: based on the internal, middle and external three-level temperature control analysis space, the cross relationship decomposition of each parameter is performed, and the temperature control parameter interaction between different regions is analyzed; an evaluation model building module 13: according to the cross relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency value and temperature control evaluation results; a temperature control parameter search module 14: based on the best temperature control evaluation results, the temperature control parameter combination search is performed with the minimum energy efficiency value as the target, and the temperature control protection strategy is obtained.

[0054] Further, the correlation analysis module 11 is also used to perform the following method:

[0055] According to the internal space of the cabinet, the transition region of the cabinet body and the external environment, and the external environment of the cabinet as the internal, middle and external three-level division standard, the electrical cabinet space is divided; the feature parameters are extracted based on the physical structure distribution and parameter composition in the divided space; the correlation between the feature parameters and the temperature control protection is established, and the correlation is embedded in the electrical cabinet space division according to the mapping relationship of the divided space, and the internal, middle and external three-level temperature control analysis space is obtained.

[0056] Further, the correlation analysis module 11 is also used to perform the following method:

[0057] Taking temperature control protection as the top event, the correlation factors are decomposed based on the historical sample data set; the correlation factors are used as indexes to analyze and search the correlation degree of the physical structure distribution and parameter composition in the divided space, and the feature parameters are extracted based on the correlation degree.

[0058] Further, the correlation analysis module 11 is also used to perform the following method:

[0059] The physical structure distribution in the divided space is decomposed into structure space, heat dissipation design and space equipment arrangement distribution; based on the decomposed structure space, heat dissipation design and space equipment arrangement distribution, the parameter composition of each dimension is extracted; the correlation factors are used as indexes to analyze the correlation degree with the parameter composition, and the correlation parameter composition is extracted according to the correlation degree threshold, and the feature parameters are obtained.

[0060] Further, the cross relationship decomposition module 12 is also used to perform the following method:

[0061] According to the inner, middle and outer three-level temperature control analysis space, the heat dissipation mechanism and the heat dissipation path in each analysis space are analyzed, and the heat dissipation mechanism and the heat dissipation path are spliced according to the continuous conduction relationship of the inner, middle and outer three levels to obtain a full-level heat dissipation path; based on the heat dissipation mechanism, the full-level heat dissipation path is analyzed for inter-level conduction relationship, the temperature control protection effect of inter-level parameters is determined, and a cross relationship is obtained, the cross relationship includes interaction relationship and cooperative relationship.

[0062] Further, the cross relationship decomposition module 12 is also used to execute the following method:

[0063] The interaction relationship describes the mutual influence relationship between various temperature control factors inside the cabinet; and the cooperative relationship describes the cooperative effect between different cooling equipment and heat dissipation designs, which jointly affects the temperature control effect of the cabinet.

[0064] Further, the cross relationship decomposition module 12 is also used to execute the following method:

[0065] According to the heat dissipation mechanism of each divided space, the influence relationship between the space parameters and the temperature control protection result is analyzed, and the temperature control effect and the transmission efficiency of each space level are obtained respectively; based on the full-level heat dissipation path, the temperature control effect and the transmission efficiency conduction relationship between adjacent levels are analyzed, when the conduction direction and the transmission efficiency are consistent, the cooperative relationship is determined; when the conduction direction or the transmission efficiency is inconsistent, the interaction relationship is determined.

[0066] Further, the evaluation model building module 13 is also used to execute the following method:

[0067] According to the interaction relationship and the cooperative relationship, the corresponding feature parameter set is extracted respectively, including temperature, humidity, load and heat dissipation effect; based on the influence relationship of the interaction relationship, the cooperative relationship and the temperature control protection result, the feature parameter set is expressed in relationship, a temperature control evaluation model is constructed, including temperature control parameters and temperature control effect, and the interaction relationship and the cooperative relationship are quantitatively expressed by a data driven method; on the basis of the temperature control evaluation model, the energy efficiency under the temperature control strategy is analyzed, and the relationship between the energy efficiency value and the temperature control parameter is fitted to construct an energy consumption evaluation model; the temperature control evaluation model and the energy consumption evaluation model are connected to build the evaluation relationship model.

[0068] Further, the temperature control parameter searching module 14 is also used to execute the following method:

[0069] The inner, outer and middle parameters of the electrical cabinet are collected to screen the preliminary temperature control parameters according to the temperature control protection target of the electrical cabinet equipment; the temperature control evaluation is performed according to the preliminary temperature control parameters through the evaluation relationship model, and the temperature control parameter set meeting the equipment temperature control protection target is obtained through iterative search according to the target of the best temperature control evaluation result; the temperature control parameter set is evaluated for energy consumption through the energy consumption evaluation model according to the target of the minimum energy efficiency value, and the temperature control protection strategy is obtained according to the temperature control parameter with the minimum energy consumption.

[0070] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes a specific embodiment of the present application. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0071] The above only describes the preferred embodiments of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0072] The present application is only an exemplary description of the present application, and should be considered as covering any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalent technology, the present application intends to include these modifications and changes.

Claims

1. A high-efficiency electrical cabinet temperature control and protection method, characterized in that, include: The relationship between the internal and external structure and composition of the electrical cabinet and its temperature control protection is analyzed, and a three-level temperature control analysis space is established. The three-level temperature control analysis space is divided into three layers according to the heat transfer space: internal area, transition area and external area. The correlation parameters of each space and the correlation of temperature control protection are included. Based on the three-level temperature control analysis space, the cross-relationship of each parameter is decomposed, and the interaction of temperature control parameters between different regions is analyzed. This includes: according to the three-level temperature control analysis space, analyzing the heat dissipation mechanism and heat dissipation path in each analysis space, and splicing the heat dissipation mechanism and heat dissipation path according to the continuous conduction relationship of the three levels to obtain the full-level heat dissipation path. Based on the heat dissipation mechanism, the inter-level conduction relationship of the full-level heat dissipation path is analyzed to determine the temperature control and protection effect of the inter-level parameters and obtain the cross relationship, which includes interactive relationship and cooperative relationship; Based on the cross-relationship, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency value, and temperature control evaluation results. This includes: extracting corresponding feature parameter sets according to interaction relationship and collaborative relationship, wherein the feature parameter sets include temperature, humidity, load, and heat dissipation effect. Based on the influence relationship between interaction, collaboration and temperature control protection results, the characteristic parameter set is expressed to construct a temperature control evaluation model, including temperature control parameters and temperature control effect. The interaction and collaboration relationships are quantitatively expressed through data-driven methods. Based on the temperature control evaluation model, by analyzing the energy efficiency under the temperature control strategy, the relationship between the energy efficiency value and the temperature control parameters is fitted, and an energy consumption evaluation model is constructed. The temperature control evaluation model and the energy consumption evaluation model are connected to build the evaluation relationship model; Based on the optimal temperature control evaluation results, and with the goal of minimizing energy efficiency, a combination search for temperature control parameters is conducted to obtain a temperature control protection strategy, including: collecting monitoring values ​​of internal, external, and internal parameters of the electrical cabinet, and screening preliminary temperature control parameters based on the temperature control protection target of the electrical cabinet equipment; With the goal of achieving the best temperature control evaluation results, temperature control evaluation is conducted based on preliminary temperature control parameters through the evaluation relationship model. Through iterative search, a set of temperature control parameters that meet the equipment's temperature control protection objectives is obtained. With the goal of minimizing energy efficiency, an energy consumption evaluation model is used to search for the energy consumption of the temperature control parameter set. The temperature control parameter with the minimum energy consumption is obtained as the temperature control protection strategy. This includes analyzing the relationship between the internal and external structure and composition of the electrical cabinet and its temperature control protection, establishing a three-level temperature control analysis space (internal, external, and internal), including: The electrical cabinet space is divided according to the three-level division standard of the internal space of the cabinet, the transition area between the cabinet and the external environment, and the external environment of the cabinet. Feature parameters are extracted based on the physical structure distribution and parameter composition within the segmented space. Establish the correlation between the characteristic parameters and temperature control protection, and embed the correlation into the electrical cabinet space segmentation according to the mapping relationship of the segmented space to obtain the three-level temperature control analysis space of inner, middle and outer.

2. The high-efficiency electrical cabinet temperature control and protection method according to claim 1, characterized in that, Feature parameter extraction is performed based on the physical structure distribution and parameter composition within the segmented space, including: Taking temperature control protection as the top priority, the correlation factors are decomposed based on historical sample datasets; Using the correlation factor as an index, the correlation degree of the physical structure distribution and parameter composition within the segmented space is analyzed and searched, and feature parameters are extracted based on the correlation degree.

3. The high-efficiency electrical cabinet temperature control and protection method according to claim 2, characterized in that, Using the aforementioned correlation factor as an index, a correlation degree analysis search is performed on the distribution of physical structures and parameter composition within the segmented space. Feature parameters are extracted based on the correlation degree, including: Decompose the physical structure distribution within the segmented space into structural space, heat dissipation design, and spatial equipment arrangement; Based on the decomposed structural space, heat dissipation design, and spatial equipment arrangement, parameter composition is extracted for each dimension; Using the correlation factor as an index, a correlation analysis is performed with the parameter composition, and the correlation parameter composition is extracted according to the correlation threshold to obtain the feature parameters.

4. The high-efficiency electrical cabinet temperature control and protection method according to claim 1, characterized in that, The interaction relationship describes the mutual influence between various temperature control factors inside the cabinet; the synergy relationship describes the synergistic effect between different cooling devices and heat dissipation designs, which jointly affect the temperature control effect of the cabinet.

5. The high-efficiency electrical cabinet temperature control and protection method according to claim 1, characterized in that, Based on the aforementioned heat dissipation mechanism, an analysis of the inter-level conductivity of the full-level heat dissipation path is performed to determine the temperature control and protection functions of the inter-level parameters, including: Based on the heat dissipation mechanism of each segmented space, the influence relationship between the parameters of each space and the temperature control and protection results is analyzed, and the temperature control effect and transmission efficiency of each space level are obtained respectively. Based on the full-level heat dissipation path, the temperature control effect and transmission efficiency between adjacent levels are analyzed. When the transmission direction and transmission efficiency are consistent, the cooperative relationship is determined. When the direction of conduction or the transmission efficiency are inconsistent, the interaction relationship is determined.

6. A high-efficiency electrical cabinet temperature control and protection system, characterized in that, The system is used to execute the high-efficiency electrical cabinet temperature control and protection method according to any one of claims 1-5, including: The correlation analysis module analyzes the correlation between the internal and external structure and composition of the electrical cabinet and temperature control protection, and establishes a three-level temperature control analysis space, which is divided into three layers according to the heat transfer space: internal area, transition area, and external area. It includes the correlation parameters of each space and the correlation of temperature control protection. Cross-relationship decomposition module: Based on the three-level temperature control analysis space (inner, middle, and outer), the cross-relationship of each parameter is decomposed to analyze the interaction of temperature control parameters between different regions; Evaluation model building module: Based on the cross relationships, an evaluation relationship model is built, which includes temperature control parameters, energy efficiency values, and temperature control evaluation results; Temperature control parameter search module: Based on the best temperature control evaluation results, and with the goal of minimizing energy efficiency, it searches for combinations of temperature control parameters to obtain temperature control protection strategies.

Images