Intelligent power-saving control cabinet real-time detection and adjustment system

Abstract

The present invention belongs to the field of control and regulation technology, specifically, a real-time detection and regulation system for an intelligent power-saving control cabinet, including an adjustment port processor determination module, an energy-saving optimization space evaluation module, an energy-saving efficiency quality evaluation module, and an intelligent power-saving comparison adjustment module. The adjustment port processor determination module is used to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified based on the adjustment instruction completion capability evaluation value; the energy-saving optimization space evaluation module obtains the energy-saving optimization space evaluation value based on the adjustment port processor qualification determination index and the energy-saving optimization space data set; the energy-saving efficiency quality evaluation module obtains the energy-saving efficiency quality evaluation value based on the energy-saving efficiency quality data set; the intelligent power-saving comparison adjustment module determines whether the current intelligent power-saving control cabinet needs to be adjusted based on the energy-saving adjustment signal value. The present invention realizes a multi-dimensional quantitative evaluation of the adjustment capability of the intelligent power-saving control cabinet, ensuring the scientificity and objectivity of the adjustment strategy.

Description

Technical Field

[0001] The invention belongs to the technical field of control and regulation, and in particular relates to a real-time detection and regulation system for an intelligent power-saving control cabinet. Background Art

[0002] As a key device for power management and energy saving, power-saving control cabinets play an important role in industrial and commercial power users. Their core function is to enable users to gain an in-depth understanding of power usage, effectively control power loads, and optimize power usage strategies by real-time monitoring of electrical parameters such as current, voltage, and power. With the rapid development of information technology, intelligent technology has played an increasingly important role in the monitoring and optimization of power-saving control cabinets. These technologies can not only detect abnormal conditions in a timely manner, prevent electrical failures or equipment damage, reduce downtime and maintenance costs, but also identify the optimizable space of power-saving control cabinets and further improve power-saving efficiency. Therefore, how to effectively monitor and adjust power-saving control cabinets and improve their power-saving efficiency has become an important topic in the field of power management.

[0003] However, the existing technology has some shortcomings in the real-time monitoring and adjustment of intelligent power-saving control cabinets. The traditional adjustment ideas are relatively narrow, mainly focusing on adjustment based on the evaluation of power-saving effectiveness, while ignoring the importance of the control cabinet's own adjustment capabilities and optimization potential. In the absence of multi-dimensional data support and comprehensive factor analysis, these adjustment decisions based on local power-saving effectiveness often lack scientific basis, which can easily lead managers to make wrong judgments. In addition, traditional control cabinets often adopt static adjustment strategies, which make it difficult to respond to changes in processor response capabilities or internal optimizable space in real time. This delayed evaluation mechanism cannot meet the needs of rapid adjustment during peak power consumption, and misses the opportunity to match dynamic adjustment solutions and optimize power-saving control. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a real-time detection and adjustment system for an intelligent power-saving control cabinet, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The real-time detection and adjustment system of the intelligent power-saving control cabinet includes an adjustment port processor determination module, a power-saving optimization space evaluation module, a power-saving efficiency quality evaluation module and an intelligent power-saving comparison adjustment module, wherein:

[0007] The adjustment port processor determination module is used to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified based on the adjustment instruction completion capability evaluation value. If qualified, the qualified determination index of the adjustment port processor is obtained, and the intelligent power-saving control cabinet corresponding to the adjustment port processor is recorded as a processor qualified control cabinet. If unqualified, the adjustment port processor is replaced;

[0008] A power-saving optimization space evaluation module is used to obtain a power-saving optimization space data set of a processor-qualified control cabinet, and obtain a power-saving optimization space evaluation value based on the qualified judgment index of the adjustment port processor and the power-saving optimization space data set. The power-saving optimization space evaluation value is used to represent the optimization potential of the intelligent power-saving control cabinet;

[0009] A power-saving efficiency quality evaluation module is used to obtain a power-saving efficiency quality data set of a processor-qualified control cabinet, and obtain a power-saving efficiency quality evaluation value based on the power-saving efficiency quality data set, and the power-saving efficiency quality evaluation value is used to represent the power-saving efficiency that can be achieved by the intelligent power-saving control cabinet;

[0010] The intelligent power-saving comparison and adjustment module is used to comprehensively analyze the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value to obtain the power-saving adjustment signal value, and determine whether the current intelligent power-saving control cabinet needs to be adjusted based on the power-saving adjustment signal value, and send an early warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted and match the power-saving plan.

[0011] Preferably, the adjustment instruction completion capability evaluation value, the specific acquisition process includes:

[0012] Acquire the real-time adjustment instruction completion evaluation parameters of the intelligent power-saving control cabinet, the real-time adjustment instruction completion evaluation parameters including the instruction completion cycle number, the real-time instruction delay rate, the floating-point operation rate, and the cache hit rate;

[0013] Get the floating point operation rate correction factor set in the database;

[0014] The adjustment instruction completion capability evaluation value is obtained based on the real-time adjustment instruction completion evaluation parameter, the floating-point operation rate correction factor and the instruction completion capability evaluation model.

[0015] Preferably, whether the regulating port processor of the intelligent power-saving control cabinet is qualified is judged based on the regulating instruction completion capability evaluation value, and if qualified, the regulating port processor qualification determination index is obtained. The specific analysis process is:

[0016] Obtain the adjustment instruction completion capability assessment value;

[0017] Obtaining the real-time adjustment instruction standard value stored in the database;

[0018] The real-time adjustment instruction completion deviation rate is calculated based on the adjustment instruction completion capability evaluation value and the real-time adjustment instruction standard value. The real-time adjustment instruction completion deviation rate is the basis for judging whether the intelligent power-saving control cabinet adjustment port processor is qualified;

[0019] Obtaining a real-time adjustment instruction completion deviation rate threshold stored in a database;

[0020] Compare the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified:

[0021] If the real-time adjustment instruction completion deviation rate is not greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed qualified;

[0022] If the real-time adjustment instruction completion deviation rate is greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed unqualified;

[0023] Based on the adjustment instruction completion capability evaluation value corresponding to the qualified adjustment port processor, the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor qualification determination index is calculated.

[0024] Preferably, the port processor qualification index is adjusted, and the calculation formula is:

[0025]

[0026] Where α is the qualified judgment index of the adjustment port processor, tw is the adjustment instruction completion capability evaluation value, p is the real-time adjustment instruction completion deviation rate, P y is the completion deviation rate threshold of the real-time adjustment instruction stored in the database, and e is a natural constant.

[0027] Preferably, the power saving optimization space evaluation value is obtained based on adjusting the port processor qualification determination index and the power saving optimization space data set, and the specific analysis process is:

[0028] Obtaining a power-saving optimized space dataset of processor qualified control cabinets;

[0029] Acquire a weight factor data set set in a database based on a power saving optimization space data set of a processor qualified control cabinet;

[0030] The power-saving optimization space evaluation value of the intelligent power-saving control cabinet is calculated based on the qualified judgment index of the adjustment port processor, the power-saving optimization space data set and the weight factor data set set in the database.

[0031] Preferably, the power-saving optimization space data set of the intelligent power-saving control cabinet with qualified port processor is adjusted, specifically including: efficiency ratio fluctuation rate, maximum load response rate, power factor extreme difference, and system average maintenance time;

[0032] The weight factor data set includes the efficiency ratio fluctuation weight factor, the maximum load response rate weight factor, the power factor extreme difference weight factor and the system average maintenance time weight factor.

[0033] Preferably, the power saving optimization space evaluation value is specifically calculated as follows:

[0034]

[0035] In the formula, γ is the evaluation value of power saving optimization space, b is the efficiency ratio fluctuation rate, s is the maximum load response rate, c is the power factor extreme difference, t is the average system maintenance time, k b is the performance ratio volatility weight factor, k s is the maximum load response rate weight factor, k c is the power factor extreme difference weight factor, k t is the system average maintenance time weight factor.

[0036] Preferably, the power saving efficiency quality evaluation value is obtained based on the power saving efficiency quality data set, and the specific analysis process is:

[0037] Acquire a power-saving efficiency quality data set of a qualified processor control cabinet, where the power-saving efficiency quality data set includes power load rate flatness, power factor, and phase difference;

[0038] Obtain the efficiency and efficiency utilization of the processor qualified control cabinet;

[0039] The power saving efficiency quality evaluation value is obtained based on the energy efficiency utilization rate and the power saving efficiency quality data set.

[0040] Optimally, the efficiency and benefit utilization rate of the processor qualified control cabinet is analyzed in the following specific process:

[0041] Obtain equipment power saving evaluation parameters of the processor qualified control cabinet, the equipment power saving evaluation parameters including electric energy consumption value, power density, and voltage harmonic distortion rate;

[0042] Based on the voltage harmonic distortion rate, obtain the equipment power-saving voltage harmonic correction factor set in the database;

[0043] Calculate the equipment power saving resource utilization evaluation value of the processor qualified control cabinet within a recent power supply cycle based on the equipment power saving evaluation parameters, the equipment power saving voltage harmonic correction factor and the equipment power saving resource utilization evaluation model;

[0044] Obtain the power saving of the equipment in the qualified control cabinet of the processor in the recent power supply cycle;

[0045] The efficiency benefit utilization rate is calculated based on the device power saving resource utilization evaluation value and the device power saving amount. The efficiency benefit utilization rate is the ratio of the device power saving amount to the device power saving resource utilization evaluation value.

[0046] Preferably, the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value are comprehensively analyzed to obtain the power-saving adjustment signal value, and based on the power-saving adjustment signal value, it is determined whether the current intelligent power-saving control cabinet needs to be adjusted, and an early warning signal is sent to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted, and the power-saving plan is matched. The specific analysis process is:

[0047] Obtaining a power-saving optimization space evaluation value and a power-saving efficiency quality evaluation value of a processor qualified control cabinet;

[0048] Acquire a power-saving regulation signal value based on a power-saving optimization space evaluation value, a power-saving efficiency quality evaluation value, and a power-saving regulation early warning model;

[0049] Obtain the power saving adjustment warning level interval endpoints stored in the database;

[0050] Compare the power-saving adjustment signal value with the power-saving adjustment warning level interval endpoints stored in the database, determine the power-saving adjustment warning level interval where the power-saving adjustment signal value is located, and obtain the warning level. The warning level is used to determine whether the current intelligent power-saving control cabinet needs to be adjusted and to send a warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted;

[0051] The power saving scheme of the corresponding level stored in the database is matched based on the warning level.

[0052] The present invention has the following beneficial effects:

[0053] The present invention realizes a multi-dimensional quantitative evaluation of the regulating capability of the intelligent power-saving control cabinet by comprehensively evaluating the performance of the regulating port processor. This process not only improves the accuracy of the evaluation, but also enhances the system's real-time monitoring of the response capability of the regulating port processor, thereby ensuring the scientificity and objectivity of the regulating strategy.

[0054] The present invention incorporates the power-saving optimization space into the evaluation scope, which not only helps to predict and identify energy-saving potential, but also realizes dynamic adjustment and intelligent management of the power-saving control cabinet, significantly improving the power-saving efficiency and the overall performance of the system.

[0055] Through real-time monitoring and data analysis, the present invention can timely adjust the power-saving strategy and optimize the power consumption mode, thereby achieving rapid response during peak power consumption periods. The implementation of this dynamic adjustment scheme effectively avoids the limitations brought about by traditional static adjustment strategies and ensures that the power-saving control cabinet can maintain the highest operating efficiency under various working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0057] Figure 2 A flow chart for obtaining and adjusting a port processor qualification index according to the present invention.

[0058] Figure 3 An image showing changes in the port processor qualification index and instruction completion capability evaluation value for adjustment.

[0059] Figure 4 Graphical representation of the resource utilization assessment value and voltage harmonic distortion rate change for equipment power saving. DETAILED DESCRIPTION

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] like Figure 1 As shown, the real-time detection and adjustment system of the intelligent power-saving control cabinet includes an adjustment port processor determination module, a power-saving optimization space evaluation module, a power-saving efficiency quality evaluation module and an intelligent power-saving comparison adjustment module.

[0062] The adjustment port processor determination module is used to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified based on the adjustment instruction completion capability evaluation value. If qualified, the adjustment port processor qualification determination index is obtained, and the intelligent power-saving control cabinet corresponding to the adjustment port processor is recorded as a processor qualified control cabinet. If unqualified, the adjustment port processor is replaced.

[0063] The specific acquisition process of the adjustment instruction completion capability evaluation value includes: obtaining the real-time adjustment instruction completion evaluation parameters of the intelligent power-saving control cabinet, and the real-time adjustment instruction completion evaluation parameters include the number of instruction completion cycles, the real-time instruction delay rate, the floating-point operation rate, and the cache hit rate;

[0064] Among them, the number of instruction completion cycles refers to the number of clock cycles required from the issuance of a real-time instruction to the completion of the execution of the instruction and the generation of results. The smaller the number of instruction completion cycles, the higher the efficiency of the processor in executing instructions. A lower number of instruction completion cycles has an important impact on the system's regulation of instruction completion response speed; the real-time instruction delay rate represents the average delay time for executing instructions in a real-time system. A low real-time instruction delay rate can respond to requests and events faster; the floating-point operation rate is used to measure the number of floating-point operations that the regulation port processor can perform per second; the cache hit rate refers to the proportion of the processor that can successfully find the required data from the cache when accessing data. A high cache hit rate means that more power-saving instruction requests can be quickly satisfied.

[0065] The floating-point operation rate correction factor set in the database is obtained to adjust the correction of the statistical error of the floating-point operation rate data during the calculation of the instruction completion capability evaluation value; the set floating-point operation rate correction factor is obtained from the database, and a mapping set of historically measured floating-point operation rates and floating-point operation rate correction factors is established based on historical data to obtain the floating-point operation rate correction factor corresponding to the current floating-point operation rate.

[0066] The adjustment instruction completion capability evaluation value is obtained based on the real-time adjustment instruction completion evaluation parameter, the floating-point operation rate correction factor and the instruction completion capability evaluation model.

[0067] The calculation formula of the instruction completion ability evaluation model is as follows:

[0068]

[0069] Where tw is the evaluation value of the adjustment instruction completion capability, z is the number of instruction completion cycles, l is the real-time instruction delay rate, f is the floating-point operation rate, h is the cache hit rate, and P is the real-time instruction delay rate. x is the floating point operation rate correction factor set in the database, and e is a natural constant.

[0070] tw is used to evaluate the ability of the regulation port processor to accept real-time regulation instructions and complete the instructions. The larger tw is, the stronger the ability of the regulation port processor to process real-time instructions is, and the better the quality of real-time instruction completion is. A higher f helps to complete complex computing tasks faster and reduce processing time, which indirectly affects the number of cycles to complete the instruction. l is negatively correlated with z. The lower z is, the more efficient the processor is in executing instructions. The lower l is, the higher the cache hit rate is. A shorter instruction access time to memory will directly reduce z and help reduce l. There is a complex relationship between these parameters. By changing any one parameter, other parameters and the final tw are usually affected.

[0071] like Figure 2As shown, based on the adjustment instruction completion capability evaluation value, it is judged whether the adjustment port processor of the intelligent power-saving control cabinet is qualified. If qualified, the qualified judgment index of the adjustment port processor is obtained. The specific analysis process is as follows:

[0072] Obtain the adjustment instruction completion capability assessment value;

[0073] Obtaining the real-time adjustment instruction standard value stored in the database;

[0074] The real-time adjustment instruction completion deviation rate is calculated based on the adjustment instruction completion capability evaluation value and the real-time adjustment instruction standard value. The real-time adjustment instruction completion deviation rate is the basis for judging whether the intelligent power-saving control cabinet adjustment port processor is qualified;

[0075] Obtaining a real-time adjustment instruction completion deviation rate threshold stored in a database;

[0076] Compare the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified:

[0077] If the real-time adjustment instruction completion deviation rate is not greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed qualified; if the real-time adjustment instruction completion deviation rate is greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed unqualified;

[0078] Based on the adjustment instruction completion capability evaluation value corresponding to the qualified adjustment port processor, the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor qualification determination index is calculated.

[0079] The calculation process of the real-time adjustment instruction completion deviation rate is as follows: first obtain the absolute value of the difference between the adjustment instruction completion capability evaluation value of the intelligent power-saving control cabinet and the real-time adjustment instruction standard value stored in the database, and perform a ratio operation on the absolute value of the difference with the real-time adjustment instruction standard value stored in the database to obtain the real-time adjustment instruction completion deviation rate, and quantify the difference between the adjustment effect of the intelligent power-saving control cabinet and the standard value.

[0080] The standard values ​​of real-time adjustment instructions stored in the database can be obtained from the product specification of the port processor, making the evaluation process operational and accurate. By obtaining the adjustment instruction completion capability evaluation value of the intelligent power-saving control cabinet in real time and extracting the set standard value from the database, a mechanism for dynamic real-time monitoring of the adjustment capability is realized. This real-time performance can provide timely feedback on the performance of the adjustment port processor and enhance the response capability of the adjustment port processor. By calculating the qualified judgment index of the adjustment port processor, optimization feedback can be provided for subsequent adjustment strategies. This data-based decision-making process can more accurately execute the adjustment strategy and improve the management efficiency of real-time detection.

[0081] Adjust the port processor qualification index, the calculation formula is:

[0082]

[0083] Where α is the qualified judgment index of the adjustment port processor, tw is the adjustment instruction completion capability evaluation value, p is the real-time adjustment instruction completion deviation rate, P y A deviation rate threshold is completed for the real-time adjustment instructions stored in the database.

[0084] α is used to indicate the qualification degree of the processor of the control cabinet. p is used to quantify the difference between the real-time instruction completion capability of the intelligent power-saving control cabinet and the standard completion capability of the real-time adjustment instruction of the intelligent power-saving control cabinet. y A larger difference indicates that the processor has a higher error rate when executing commands, which in turn has a negative impact on the adjustment port processor qualification index.

[0085] Figure 3 The image of the adjustment port processor qualification index changes with the adjustment instruction completion capability evaluation value, wherein the x-axis represents the adjustment instruction completion capability evaluation value and the y-axis represents the adjustment port processor qualification index, can help intuitively understand how the adjustment instruction completion capability evaluation value affects the adjustment port processor qualification index; the larger the adjustment instruction completion capability evaluation value is, the larger the adjustment port processor qualification index is, and as the adjustment instruction completion capability evaluation value increases, the influence of the adjustment instruction completion capability evaluation value on the adjustment port processor qualification index gradually increases; the real-time adjustment instruction completion deviation rate is set to 0.05 and remains unchanged, the real-time adjustment instruction completion deviation rate threshold stored in the database is 0.1 and remains unchanged, only the size of the adjustment instruction completion capability evaluation value is changed, and the example values ​​of the adjustment instruction completion capability evaluation value are as follows:

[0086] Table 1 Example of the evaluation value of the ability to complete the adjustment instruction

[0087] Data group number tw p <![CDATA[P y ]]> α 1 1 0.05 0.1 1.639 2 3 0.05 0.1 4.456 3 5 0.05 0.1 12.114

[0088] The power-saving optimization space evaluation module is used to obtain the power-saving optimization space data set of the processor qualified control cabinet, and obtain the power-saving optimization space evaluation value based on the adjustment port processor qualification judgment index and the power-saving optimization space data set. The power-saving optimization space evaluation value is used to represent the optimization potential of the intelligent power-saving control cabinet.

[0089] The power-saving optimization space evaluation value is obtained based on the adjustment port processor qualification index and the power-saving optimization space data set. The specific analysis process is: obtaining the power-saving optimization space data set of the processor-qualified control cabinet; adjusting the power-saving optimization space data set of the intelligent power-saving control cabinet with qualified port processor, specifically including: efficiency ratio fluctuation rate, maximum load response rate, power factor extreme difference, and system average maintenance time.

[0090] Based on the power-saving optimization space data set of the processor-qualified control cabinet, the weight factor data set set in the database is obtained, and the weight factor data set includes the efficiency ratio fluctuation weight factor, the maximum load response rate weight factor, the power factor extreme difference weight factor and the system average maintenance time weight factor; based on the adjustment port processor qualification judgment index, the power-saving optimization space data set and the weight factor data set set in the database, the power-saving optimization space evaluation value of the intelligent power-saving control cabinet is calculated.

[0091] The power saving optimization space evaluation value is calculated as follows:

[0092]

[0093] In the formula, γ is the evaluation value of power saving optimization space, b is the efficiency ratio fluctuation rate, s is the maximum load response rate, c is the power factor extreme difference, t is the average system maintenance time, k b is the performance ratio volatility weight factor, k s is the maximum load response rate weight factor, k c is the power factor extreme difference weight factor, k t is the system average maintenance time weight factor.

[0094] The efficiency ratio indicates the ratio between the output productivity of the intelligent power-saving control cabinet and the input resource consumption; b refers to the degree of change of the ratio of the intelligent power-saving control cabinet under different load conditions; s is expressed as the maximum load that the intelligent power-saving control cabinet can handle per unit time, which is used for evaluation. It refers to the ability of the intelligent power-saving control cabinet to quickly adjust its output power when the load changes; c refers to the range of power factor changes of the equipment under different operating conditions, which reflects the effective utilization of the electric energy of the intelligent power-saving control cabinet; t refers to the average time required for maintenance of the equipment within a certain period of time. Equipment with lower b usually has higher s because they can quickly adapt to different load conditions and keep the energy efficiency stable. At the same time, when the equipment responds to load changes quickly, if c is large, it will lead to lower energy efficiency and increased power loss. Equipment with lower b usually runs more stably and has a lower failure rate, thereby reducing maintenance needs and reducing t. However, equipment with c will increase the burden on the electrical system, causing equipment overheating or failure, which requires more frequent maintenance and increases the average maintenance time.

[0095] The performance ratio volatility weight factor k is setb , the highest load response rate weight factor k s , power factor extreme difference weight factor k c And the system average maintenance time weight factor k t It is extracted from the database, and the historical data is used to establish the historical measurement of efficiency ratio fluctuation rate, maximum load response rate, power factor extreme difference, system average maintenance time and k b , k s , k c , k t The mapping set of the current efficiency ratio fluctuation rate, the maximum load response rate, the power factor extreme difference, and the average system maintenance time corresponding to k b , k s , k c , k t .

[0096] Based on the power saving optimization space data set and the set weight factor, the evaluation is performed and the power saving optimization space evaluation value is calculated. It can comprehensively consider multiple factors such as b, s, c and t, and dynamically adjust k according to real-time operation data. b , k s , k c , k t , making the evaluation results more in line with the actual situation and having real-time detection significance. On the basis of comprehensively evaluating the performance of the intelligent power-saving control cabinet, the subsequent power-saving decision-making process can be made more scientific and reasonable. The integration of data collection, analysis and decision support functions avoids the blindness and subjectivity of judging by experience or intuition.

[0097] γ is an indicator for evaluating the optimization potential of the intelligent power-saving control cabinet based on its existing power-saving control capability; b is used to indicate the stability of the ratio between the output productivity and input resource consumption of the intelligent power-saving control cabinet under different load or power-saving operation conditions; s refers to the response capability of the intelligent power-saving control cabinet when facing the maximum load, which is expressed by the maximum load that the intelligent power-saving control cabinet can handle per unit time. Under high load conditions, the system can still maintain good performance, which further indicates its performance optimization potential under normal working load. The power factor is an indicator to measure the relationship between the effective power and apparent power of the intelligent power-saving control cabinet; c indicates the deviation between the actual power factor and the ideal power factor. The ideal power factor is 1. The larger the c, the lower the optimization efficiency of the intelligent power-saving control cabinet in energy use; t refers to the average time required for maintenance of the intelligent power-saving control cabinet within a unit power-saving cycle. A lower t indicates that the reliability of the intelligent power-saving control cabinet is high or the maintenance process has a large optimization space.

[0098] The power-saving efficiency quality evaluation module is used to obtain the power-saving efficiency quality data set of the processor qualified control cabinet, and obtain the power-saving efficiency quality evaluation value based on the power-saving efficiency quality data set. The power-saving efficiency quality evaluation value is used to represent the power-saving efficiency that the intelligent power-saving control cabinet can achieve.

[0099] The power saving efficiency quality evaluation value is obtained based on the power saving efficiency quality data set. The specific analysis process is: obtain the power saving efficiency quality data set of the processor qualified control cabinet, the power saving efficiency quality data set includes the flatness of the power load rate, the power factor, and the phase difference; obtain the efficiency benefit utilization rate of the processor qualified control cabinet; obtain the power saving efficiency quality evaluation value based on the efficiency benefit utilization rate and the power saving efficiency quality data set.

[0100] The power saving efficiency quality evaluation value is calculated as follows:

[0101]

[0102] Where ε is the energy-saving efficiency quality evaluation value, N is the energy efficiency utilization rate, T is the flatness of the power load rate, G is the power factor, and H is the phase difference.

[0103] ε is used to evaluate the energy saving degree of the intelligent power-saving control cabinet and the energy-saving efficiency quality that can be achieved; N refers to the ratio between the actual output power and the input power of the intelligent power-saving control cabinet, which reflects the effectiveness and efficiency of the intelligent power-saving control cabinet in converting and utilizing the input energy. High energy-saving efficiency utilization rate means that the equipment can more effectively convert the input energy into useful work, thereby improving the quality of energy saving; T refers to the stability and uniformity of the power load in the standard power-saving cycle. A flat load curve means that the load does not change much over time, which can effectively reduce the load fluctuation of the intelligent power-saving control cabinet, thereby reducing The impact and loss of the intelligent power-saving control cabinet in executing power-saving instructions are reduced, the stability of power saving is improved, and the quality of power saving is higher; G is an indicator to measure the relationship between the effective power and apparent power of the intelligent power-saving control cabinet, usually ranging from 0 to 1. Ideally, the higher G means the higher the utilization rate of the intelligent power-saving control cabinet and the less power saving loss; H refers to the phase difference between active power and reactive power in alternating current. H reflects the delay relationship between the current and voltage waveforms. Ideally, the waveforms of current and voltage should be synchronized, that is, H is 0, in order to achieve the best energy-saving efficiency.

[0104] The method for obtaining the efficiency and benefit utilization rate is as follows: obtain the energy input value and energy output value of each power supply cycle node of the intelligent power-saving control cabinet with qualified adjustment port processor in the recent Z power supply cycles; calculate the efficiency ratio of Z power supply cycles based on the energy input value and energy output value of each power supply cycle node, and the efficiency ratio is the ratio of the energy input value to the energy output value; calculate the efficiency ratio standard deviation of Z power supply cycles; obtain the efficiency ratio volatility of the intelligent power-saving control cabinet based on the efficiency ratio and the efficiency ratio standard deviation of Z power supply cycles, and the efficiency ratio volatility of the intelligent power-saving control cabinet is the ratio of the efficiency ratio mean value of Z power supply cycles to the efficiency ratio standard deviation.

[0105] The specific analysis process of the energy efficiency and benefit utilization rate of the processor qualified control cabinet is as follows: obtain the equipment power saving evaluation parameters of the processor qualified control cabinet, the equipment power saving evaluation parameters include electric energy consumption value, power density, and voltage harmonic distortion rate; obtain the equipment power saving voltage harmonic correction factor set in the database based on the voltage harmonic distortion rate; calculate the equipment power saving resource utilization evaluation value of the processor qualified control cabinet in the past power supply cycle based on the equipment power saving evaluation parameters, the equipment power saving voltage harmonic correction factor, and the equipment power saving resource utilization evaluation model; obtain the equipment power saving of the processor qualified control cabinet in the past power supply cycle; calculate the energy efficiency and benefit utilization rate based on the equipment power saving resource utilization evaluation value and the equipment power saving, and the energy efficiency and benefit utilization rate is the ratio of the equipment power saving to the equipment power saving resource utilization evaluation value.

[0106] Equipment power saving resource utilization evaluation model, the calculation formula is as follows:

[0107]

[0108] Sh is the evaluation value of equipment power saving resource utilization, X is the power consumption value, M is the power density, D is the voltage harmonic distortion rate, P s It is the equipment power-saving voltage harmonic correction factor set in the database.

[0109] Sh is used to evaluate the amount of power resources consumed by the intelligent power-saving control cabinet in order to execute the power-saving operation process; X refers to the total amount of power consumed by the intelligent power-saving control cabinet during the standard power-saving cycle, which directly reflects the energy consumption level of the control cabinet during operation. A higher X means a greater loss of power resources; M refers to the power consumed per unit volume of the intelligent power-saving control cabinet, which is used to evaluate the power-saving energy efficiency and power-saving equipment utilization rate of the intelligent power-saving control cabinet design. A higher M indicates that the equipment consumes more power under the space load; D is a measure of the degree of voltage waveform distortion. The lower the efficiency of the intelligent power-saving control cabinet, the higher its D. Devices with higher X usually show higher M. For example, if devices with higher X and higher M have higher D at the same node efficiency output, the efficiency of power use may be further reduced. Voltage harmonic loss will cause unstable equipment operation, thereby increasing additional energy consumption. The higher D is, the greater the loss of the equipment during operation, which will cause X to rise, and then affect Sh. Set equipment power-saving voltage harmonic correction factor P s It is extracted from the database, and the voltage harmonic distortion rate and P are established based on the historical data. s The mapping set of the current voltage harmonic distortion rate is obtained. s .

[0110] The intelligent power-saving comparison and adjustment module is used to comprehensively analyze the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value to obtain the power-saving adjustment signal value, and determine whether the current intelligent power-saving control cabinet needs to be adjusted based on the power-saving adjustment signal value, and send an early warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted and match the power-saving plan.

[0111] Comprehensively analyze the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value to obtain the power-saving adjustment signal value. Based on the power-saving adjustment signal value, determine whether the current intelligent power-saving control cabinet needs to be adjusted, send an early warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted, and match the power-saving plan. The specific analysis process is as follows:

[0112] Obtain the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value of the processor qualified control cabinet; obtain the power-saving adjustment signal value based on the power-saving optimization space evaluation value, the power-saving efficiency quality evaluation value and the power-saving adjustment warning model; obtain the endpoints of the power-saving adjustment warning level interval stored in the database; compare the power-saving adjustment signal value with the endpoints of the power-saving adjustment warning level interval stored in the database, determine the power-saving adjustment warning level interval where the power-saving adjustment signal value is located, and obtain the warning level, which is the basis for determining whether the current intelligent power-saving control cabinet needs to be adjusted and issuing a warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted; match the power-saving plan of the corresponding level stored in the database based on the warning level.

[0113] The calculation formula of power saving adjustment warning model is as follows:

[0114] δ=sinhγ*lg(e tanhε +1);

[0115] Where δ is the power saving regulation signal value.

[0116] δ is a data indicator used to judge the power-saving warning signal based on the real-time detection feedback data of the current working state of the intelligent power-saving control cabinet and the quantitative processing as the evaluation index. It reflects the urgency and importance of the current intelligent power-saving control cabinet to perform power-saving adjustment and send warning signals. δ is compared with the endpoints of the power-saving adjustment warning level interval stored in the database to determine the power-saving adjustment warning level interval where the power-saving adjustment signal value is located. The warning level corresponding to δ is the level of the power-saving adjustment warning level interval to which the power-saving adjustment signal value belongs. For example, when δ is 9.5, the endpoints of the third level interval of power-saving adjustment warning stored in the database are 9-10. At this time, δ corresponds to the third level interval of power-saving adjustment warning to which the power-saving adjustment signal value belongs. The warning level corresponding to δ is the third level, matching the third level power-saving plan stored in the database.

[0117] The power-saving plan includes a combination of multiple power-saving measures. Different levels of power-saving plans correspond to different parameter settings of power-saving measures, indicating different degrees of power-saving adjustment strength. Power-saving measures include power demand management, automatic current regulation, timing control and frequency conversion control. Among them, power demand management sets a load upper limit to automatically cut off non-critical equipment during peak power consumption. Automatic current regulation automatically adjusts the working power of equipment according to demand to avoid additional energy consumption, such as adjusting the motor speed. Timing control sets a timing switch for the equipment to adjust the equipment running time. Frequency conversion control mainly uses frequency converters to control fans and pumps, and adjusts the speed according to actual needs. For example, the power-saving measures corresponding to the third-level power-saving plan are power demand management, which sets a load upper limit of 50 kilowatts, automatic current regulation reduces the equipment working power by 10%, timing control reduces the equipment operation by 30 minutes, and frequency conversion control reduces the speed of fans and pumps by 10%.

Claims

1. Intelligent power-saving control cabinet real-time detection and adjustment system, characterized by: It includes an adjustment port processor determination module, a power saving optimization space evaluation module, a power saving efficiency quality evaluation module and an intelligent power saving comparison adjustment module, wherein: The adjustment port processor determination module is used to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified based on the adjustment instruction completion capability evaluation value. If qualified, the qualified determination index of the adjustment port processor is obtained, and the intelligent power-saving control cabinet corresponding to the adjustment port processor is recorded as a processor qualified control cabinet. If unqualified, the adjustment port processor is replaced; The adjustment instruction completes the capability evaluation value, and the specific acquisition process includes: Acquire the real-time adjustment instruction completion evaluation parameters of the intelligent power-saving control cabinet, the real-time adjustment instruction completion evaluation parameters including the instruction completion cycle number, the real-time instruction delay rate, the floating-point operation rate, and the cache hit rate; Get the floating point operation rate correction factor set in the database; Acquire an adjustment instruction completion capability evaluation value based on a real-time adjustment instruction completion evaluation parameter, a floating-point operation rate correction factor, and an instruction completion capability evaluation model; The calculation formula of the instruction completion ability evaluation model is as follows: Where tw is the evaluation value of the adjustment instruction completion capability, z is the number of instruction completion cycles, l is the real-time instruction delay rate, f is the floating-point operation rate, h is the cache hit rate, and P is the real-time instruction delay rate. x is the floating point operation rate correction factor set in the database, and e is a natural constant; The adjustment command completion capability evaluation value is used to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified. If qualified, the qualified determination index of the adjustment port processor is obtained. The specific analysis process is as follows: Obtain the adjustment instruction completion capability assessment value; Obtaining the real-time adjustment instruction standard value stored in the database; The real-time adjustment instruction completion deviation rate is calculated based on the adjustment instruction completion capability evaluation value and the real-time adjustment instruction standard value. The real-time adjustment instruction completion deviation rate is the basis for judging whether the intelligent power-saving control cabinet adjustment port processor is qualified; Obtaining a real-time adjustment instruction completion deviation rate threshold stored in a database; Compare the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold to determine whether the adjustment port processor of the intelligent power-saving control cabinet is qualified: If the real-time adjustment instruction completion deviation rate is not greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed qualified; If the real-time adjustment instruction completion deviation rate is greater than the real-time adjustment instruction completion deviation rate threshold, the adjustment port processor of the intelligent power-saving control cabinet is deemed unqualified; Calculate the qualified judgment index of the adjustment port processor based on the adjustment instruction completion capability evaluation value corresponding to the qualified adjustment port processor, the real-time adjustment instruction completion deviation rate and the real-time adjustment instruction completion deviation rate threshold; The adjustment port processor qualification index is calculated by the formula: Where α is the qualified judgment index of the adjustment port processor, tw is the adjustment instruction completion capability evaluation value, p is the real-time adjustment instruction completion deviation rate, P y is the completion deviation rate threshold of the real-time adjustment instruction stored in the database, and e is a natural constant; A power-saving optimization space evaluation module is used to obtain a power-saving optimization space data set of a processor-qualified control cabinet, and obtain a power-saving optimization space evaluation value based on the qualified judgment index of the adjustment port processor and the power-saving optimization space data set. The power-saving optimization space evaluation value is used to represent the optimization potential of the intelligent power-saving control cabinet; The power saving optimization space evaluation value is obtained based on the adjustment of the port processor qualification determination index and the power saving optimization space data set. The specific analysis process is as follows: Obtaining a power-saving optimized space dataset of processor qualified control cabinets; Acquire a weight factor data set set in a database based on a power saving optimization space data set of a processor qualified control cabinet; Calculate the power-saving optimization space evaluation value of the intelligent power-saving control cabinet based on the qualified judgment index of the adjustment port processor, the power-saving optimization space data set and the weight factor data set set in the database; The power-saving optimization space data set of the intelligent power-saving control cabinet with qualified adjustment port processor specifically includes: efficiency ratio fluctuation rate, maximum load response rate, power factor extreme difference, and system average maintenance time; The weight factor data set includes the efficiency ratio fluctuation weight factor, the maximum load response rate weight factor, the power factor extreme difference weight factor and the system average maintenance time weight factor; The specific calculation formula of the power saving optimization space evaluation value is: In the formula, γ is the evaluation value of power saving optimization space, b is the efficiency ratio fluctuation rate, s is the maximum load response rate, c is the power factor extreme difference, t is the average maintenance time of the system, and k is the average maintenance time of the system. b is the performance ratio volatility weight factor, k s is the maximum load response rate weight factor, k c is the power factor extreme difference weight factor, k t is the system average maintenance time weight factor; A power-saving efficiency quality evaluation module is used to obtain a power-saving efficiency quality data set of a processor-qualified control cabinet, and obtain a power-saving efficiency quality evaluation value based on the power-saving efficiency quality data set, and the power-saving efficiency quality evaluation value is used to represent the power-saving efficiency that can be achieved by the intelligent power-saving control cabinet; The intelligent power-saving comparison and adjustment module is used to comprehensively analyze the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value to obtain the power-saving adjustment signal value, and determine whether the current intelligent power-saving control cabinet needs to be adjusted based on the power-saving adjustment signal value, and send an early warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted and match the power-saving plan.

2. The real-time detection and adjustment system of the intelligent power-saving control cabinet according to claim 1 is characterized in that: The power saving efficiency quality evaluation value is obtained based on the power saving efficiency quality data set, and the specific analysis process is as follows: Acquire a power-saving efficiency quality data set of a qualified processor control cabinet, where the power-saving efficiency quality data set includes power load rate flatness, power factor, and phase difference; Obtain the efficiency and efficiency utilization of the processor qualified control cabinet; The power saving efficiency quality evaluation value is obtained based on the energy efficiency utilization rate and the power saving efficiency quality data set.

3. The real-time detection and adjustment system of the intelligent power-saving control cabinet according to claim 2 is characterized in that: The specific analysis process of the energy efficiency utilization rate of the processor qualified control cabinet is as follows: Obtain equipment power saving evaluation parameters of the processor qualified control cabinet, the equipment power saving evaluation parameters including electric energy consumption value, power density, and voltage harmonic distortion rate; Obtaining the equipment power-saving voltage harmonic correction factor set in the database based on the voltage harmonic distortion rate; Calculate the equipment power saving resource utilization evaluation value of the processor qualified control cabinet within a recent power supply cycle based on the equipment power saving evaluation parameters, the equipment power saving voltage harmonic correction factor and the equipment power saving resource utilization evaluation model; Obtain the power saving of the equipment in the qualified control cabinet of the processor in the recent power supply cycle; The efficiency benefit utilization rate is calculated based on the device power saving resource utilization evaluation value and the device power saving amount. The efficiency benefit utilization rate is the ratio of the device power saving amount to the device power saving resource utilization evaluation value.

4. The real-time detection and adjustment system of the intelligent power-saving control cabinet according to claim 1 is characterized in that: Comprehensively analyze the power-saving optimization space evaluation value and the power-saving efficiency quality evaluation value to obtain the power-saving adjustment signal value. Based on the power-saving adjustment signal value, determine whether the current intelligent power-saving control cabinet needs to be adjusted, send an early warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted, and match the power-saving plan. The specific analysis process is as follows: Obtaining a power-saving optimization space evaluation value and a power-saving efficiency quality evaluation value of a processor qualified control cabinet; Acquire a power-saving regulation signal value based on a power-saving optimization space evaluation value, a power-saving efficiency quality evaluation value, and a power-saving regulation early warning model; Obtain the power saving adjustment warning level interval endpoints stored in the database; Compare the power-saving adjustment signal value with the power-saving adjustment warning level interval endpoints stored in the database, determine the power-saving adjustment warning level interval where the power-saving adjustment signal value is located, and obtain the warning level. The warning level is used to determine whether the current intelligent power-saving control cabinet needs to be adjusted and to send a warning signal to the adjustment receiving end of the intelligent power-saving control cabinet that needs to be adjusted; The power saving scheme of the corresponding level stored in the database is matched based on the warning level.

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