A Power Data Monitoring Method and System Based on Air-Cooled Power Supply

Through the power data monitoring system based on air-cooled power supply, the problems of power equipment operation monitoring and risk assessment are solved, and the safe and stable operation and intelligent management of power equipment are achieved.

CN119010357BActive Publication Date: 2025-05-30SHENZHEN YINGHE TECH CO LTD
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Patent Information

Application Number
CN202411261697.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-10
Publication Date
2025-05-30
Estimated Expiration
2044-09-10

AI Technical Summary

Technical Problem

It is difficult for the existing technology to effectively monitor the operation of power equipment and comprehensively evaluate its operating risks, which makes it difficult to ensure the operational safety and stability of power equipment, and the degree of intelligence is low and management is difficult.

Method used

The power data monitoring system based on air-cooled power supply is adopted, which includes a processor, air-cooled power supply module, power data acquisition and analysis module, power operation risk assessment module, remote communication module and remote monitoring center. The heat dissipation is carried out through air cooling technology, and the intelligent temperature control technology automatically adjusts the fan speed to achieve continuous and stable operation of power equipment. The power data acquisition and analysis module automatically determines the operating status and fault type of the power equipment and generates fault warning information. The power operation risk assessment module generates high-risk signals or low-risk signals for power operation through comprehensive analysis, and strengthens the operation supervision of power equipment when generating high-risk signals.

Benefits of technology

Through the heat dissipation and intelligent temperature control technology of the air-cooled power supply module, the continuous and stable operation of the power equipment is ensured. The automatic monitoring and fault warning functions of the power data acquisition and analysis module, as well as the comprehensive analysis and risk signal generation of the power operation risk assessment module, improve the operation safety and stability of power equipment, improve the degree of intelligence, and reduce the difficulty of management.

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Abstract

The present invention belongs to the technical field of power supervision, and specifically relates to a power data monitoring method and system based on an air-cooled power supply. Among them, the system includes a processor, an air-cooled power supply module, a power data acquisition and analysis module, a power operation risk assessment module, a remote communication module, and a remote monitoring center; the present invention uses an air-cooled power supply module that dissipates heat through air-cooling technology to supply power to ensure the continuous and stable operation of corresponding power equipment. The power data acquisition and analysis module monitors the operation of power equipment to automatically judge the operation status and fault type of the power equipment. Through the power operation risk assessment module, a comprehensive analysis and comprehensive evaluation of the operation risk of the corresponding power equipment are carried out. By analyzing, a high power operation risk signal or a low power operation risk signal is generated. When a high power operation risk signal is generated, the operation supervision of the power equipment is strengthened to further ensure the operation safety and operation stability of the power equipment, and the degree of intelligence is high.
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Description

Technical Field

[0001] The present invention relates to the technical field of power supervision, and specifically to a power data monitoring method and system based on an air-cooled power supply. Background Art

[0002] Power data monitoring refers to the process of real-time collecting, transmitting, processing, analyzing, and displaying power data in power equipment through computers, communication technologies, and other related devices. This process aims to ensure the safe and stable operation of power equipment and improve the reliability and efficiency of power supply;

[0003] Currently, when conducting power data monitoring, it is difficult to effectively monitor the operation of power equipment and comprehensively evaluate the operation risk of corresponding power equipment, which is not conducive to ensuring the operation safety and stability of power equipment, increasing the management difficulty of back-end managers, and having a low degree of intelligence;

[0004] In view of the above technical deficiencies, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a power data monitoring method and system based on an air-cooled power supply, which solves the problems in the prior art that it is difficult to effectively monitor the operation of power equipment and comprehensively evaluate the operation risk of corresponding power equipment, is not conducive to ensuring the operation safety and stability of power equipment, has a low degree of intelligence, and a large management difficulty.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A power data monitoring system based on an air-cooled power supply includes a processor, an air-cooled power supply module, a power data acquisition and analysis module, a power operation risk assessment module, a remote communication module, and a remote monitoring center;

[0008] The air-cooled power supply module supplies power to the corresponding power equipment, dissipates heat from itself through air-cooling technology, and automatically adjusts the fan speed through intelligent temperature control technology;

[0009] The power data acquisition and analysis module monitors the operation of power equipment. The power data acquisition and analysis module is built-in with a variety of algorithms and models to automatically judge the operation state and fault type of power equipment, generate corresponding fault warning information, and send the corresponding fault warning information to the remote monitoring center through the remote communication module;

[0010] The power operation risk assessment module detects and analyzes the operation risks of corresponding power equipment, generates high-risk signals or low-risk signals for power operation through analysis, and sends the high-risk signals or low-risk signals for power operation to the remote monitoring center via the remote communication module. When the remote monitoring center receives a high-risk signal for power operation, it issues a corresponding warning.

[0011] Furthermore, the processor is communicatively connected to the air-cooling execution analysis module. The air-cooling execution analysis module is used to set a detection period, analyze the execution performance of the air-cooling power module during the detection period, and generate an air-cooling execution qualified signal or an air-cooling execution warning signal through analysis.

[0012] And the air-cooling execution qualified signal or the air-cooling execution warning signal is transmitted to the remote monitoring center via the remote communication module. When the remote monitoring center receives the air-cooling execution warning signal, it issues a corresponding warning.

[0013] Furthermore, the specific analysis process of the air-cooling execution analysis module is as follows:

[0014] Through analysis, it is used to judge in real time whether the air-cooling power module is in an abnormal air-cooling execution state. When it is judged that the air-cooling power module is in an abnormal air-cooling execution state, timing starts until it returns to the normal state. Based on this, the abnormal air-cooling execution holding detection value is obtained, and the sum of all abnormal air-cooling execution holding detection values during the detection period is calculated to obtain the total risk abnormal value; and the abnormal air-cooling execution holding detection value is compared numerically with the preset abnormal air-cooling execution holding detection threshold, and the number of abnormal air-cooling execution holding detection values exceeding the preset abnormal air-cooling execution holding detection threshold during the detection period is marked as the high continuous abnormal air-cooling detection value.

[0015] And the average value of all fan speed deviation values during the detection period is calculated to obtain the air-cooling execution verification value. Through numerical calculation of the total risk abnormal value, the high continuous abnormal air-cooling detection value, and the air-cooling execution verification value, the air-cooling execution analysis value is obtained. The air-cooling execution analysis value is compared numerically with the preset air-cooling execution analysis threshold. If the air-cooling execution analysis value exceeds the preset air-cooling execution analysis threshold, an air-cooling execution warning signal is generated; if the air-cooling execution analysis value does not exceed the preset air-cooling execution analysis threshold, an air-cooling execution qualified signal is generated.

[0016] Furthermore, the specific analysis process of judging in real time whether the air-cooling power module is in an abnormal air-cooling execution state through analysis is as follows:

[0017] The real-time fan speed in the air-cooling power module is collected, the deviation value between the real-time fan speed and the corresponding preset fan speed standard value is marked as the fan speed deviation value, and the fan speed deviation value is compared numerically with the preset fan speed deviation threshold. If the fan speed deviation value exceeds the preset fan speed evaluation threshold, it is judged that the air-cooling power module is in an abnormal air-cooling execution state.

[0018] Furthermore, the specific analysis process of the power operation risk assessment module is as follows:

[0019] Set a monitoring period, collect the number of times the air-cooled power supply module generates an air-cooled execution warning signal within the monitoring period and mark it as the air-cooled execution inspection value. Compare the air-cooled execution inspection value with the preset air-cooled execution inspection threshold value numerically. If the air-cooled execution inspection value exceeds the preset air-cooled execution inspection threshold value, generate a high power operation risk signal.

[0020] Furthermore, if the air-cooled execution inspection value does not exceed the preset air-cooled execution inspection threshold value, obtain all the faults that occurred in the corresponding power equipment within the monitoring period, and classify all the faults; obtain the number of occurrences of the corresponding type of fault within the monitoring period and mark it as the fault occurrence frequency value. Preset a set of preset fault weight values for each type of fault in advance, and mark the product of the fault occurrence frequency value of the corresponding type of fault and the corresponding preset fault weight value as the fault analysis value;

[0021] Obtain the fault analysis values of all types of faults within the monitoring period and perform a summation calculation to obtain the fault assessment value. And set several analysis time periods within the monitoring period. If a fault occurs in the corresponding power equipment during the corresponding analysis time period, mark the corresponding analysis time period as an abnormal inspection time period, and calculate the number of abnormal inspection time periods within the monitoring period and the number of analysis time periods to obtain the abnormal inspection assessment value;

[0022] Calculate the power operation risk value by numerically calculating the transmission inspection and evaluation value, the monitoring and management evaluation value, the air-cooled execution inspection value, the fault assessment value, and the abnormal inspection assessment value. Compare the power operation risk value with the preset power operation risk threshold value numerically. If the power operation risk value exceeds the preset power operation risk threshold value, generate a high power operation risk signal; if the power operation risk value does not exceed the preset power operation risk threshold value, generate a low power operation risk signal.

[0023] Furthermore, the power operation risk assessment module is communicatively connected to the transmission detection and evaluation module and the monitoring and management evaluation module. The transmission detection and evaluation module detects and evaluates the communication performance of the remote communication module within the monitoring period, obtains the transmission inspection and evaluation value through analysis, and sends the transmission inspection and evaluation value to the power operation risk assessment module;

[0024] The monitoring and management evaluation module analyzes the personnel on-duty status of the remote monitoring center within the monitoring period, obtains the monitoring and management evaluation value through analysis, and sends the monitoring and management evaluation value to the power operation risk assessment module.

[0025] Furthermore, the specific analysis process of the transmission detection and evaluation module is as follows:

[0026] Collect the average delay duration of the remote transmission module during information remote transmission within the monitoring period and mark it as the transmission delay inspection value, and collect the transmission failure frequency of the remote transmission module during information remote transmission within the monitoring period and mark it as the transmission defect inspection value; calculate the transmission inspection and evaluation value by weighted summation of the transmission delay inspection value and the transmission defect inspection value.

[0027] Furthermore, the specific analysis process of the monitoring and management evaluation module is as follows:

[0028] Conduct real-time monitoring of the remote monitoring center through the monitoring camera. If there is no background management personnel in the remote monitoring center, it is determined that the remote monitoring center is in the unattended state;

[0029] When it is determined that the remote monitoring center is in the unattended state, start timing to obtain the unattended duration. Sum up all the unattended durations within the monitoring period to obtain the total unattended time value, and compare the unattended duration with the preset unattended duration threshold. And mark the number of unattended durations exceeding the preset unattended duration threshold within the monitoring period as the unattended high-risk value;

[0030] And mark the maximum unattended duration within the monitoring period as the unattended time amplitude value. Calculate the monitoring management evaluation value through numerical calculation of the total unattended time value, the unattended high-risk value, and the unattended time amplitude value.

[0031] Furthermore, the present invention also proposes a power data monitoring method based on an air-cooled power supply, including the following steps:

[0032] Step 1: The air-cooled power supply module supplies power to the corresponding power equipment and dissipates heat from itself through air-cooling technology;

[0033] Step 2: The power data acquisition and analysis module monitors the operation of the power equipment, automatically judges the operation state and fault type of the power equipment, and generates corresponding fault warning information;

[0034] Step 3: The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, and generates a high power operation risk signal or a low power operation risk signal through analysis;

[0035] Step 4: When corresponding fault warning information or a high power operation risk signal is generated, the remote monitoring center issues a corresponding warning.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] 1. In the present invention, an air-cooled power supply module that uses air-cooling technology for heat dissipation is employed to supply power to ensure the continuous and stable operation of corresponding power equipment. The power data acquisition and analysis module monitors the operation of the power equipment to automatically judge the operation status and fault type of the power equipment. The power operation risk assessment module comprehensively analyzes and evaluates the operation risk of the corresponding power equipment, strengthens the operation supervision of the power equipment when generating a high-risk signal for power operation, and ensures the operation safety and stability of the power equipment, with a high degree of intelligence;

[0038] 2. In the present invention, the air-cooled execution analysis module analyzes the execution performance of the air-cooled power supply module during the detection period, generates an air-cooled execution qualified signal or an air-cooled execution warning signal through the analysis, and makes the remote monitoring center issue a warning when generating the air-cooled execution warning signal, so that the background management personnel can timely conduct cause investigation and analysis, and timely inspect and repair the air-cooled power supply module as needed, thereby ensuring its operation performance and promoting the operation stability and safety of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings;

[0040] Figure 1 It is the system block diagram of Embodiment 1 in the present invention;

[0041] Figure 2 It is the system block diagram of Embodiment 2 in the present invention;

[0042] Figure 3 It is the method flow chart of Embodiment 3 in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] Embodiment 1: As Figure 1 shown, a power data monitoring system based on an air-cooled power supply proposed by the present invention includes a processor, an air-cooled power supply module, a power data acquisition and analysis module, a power operation risk assessment module, a remote communication module, and a remote monitoring center;

[0045] Among them, the air-cooled power module supplies power to the corresponding power equipment and dissipates heat from itself through air-cooling technology, significantly improving the heat dissipation efficiency. Moreover, the fan speed is automatically regulated through intelligent temperature control technology, ensuring both the heat dissipation effect and energy conservation.

[0046] The power data acquisition and analysis module monitors the operation of power equipment (real-time collection of operation parameters such as temperature, current, and voltage of power equipment). The power data acquisition and analysis module is built-in with a variety of algorithms and models to automatically judge the operation status and fault types of power equipment, generate corresponding fault warning information, and send the corresponding fault warning information to the remote monitoring center through the remote communication module, so as to make corresponding reasonable response measures in time, thereby ensuring the safe and stable operation of the corresponding power equipment.

[0047] The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, generates a high power operation risk signal or a low power operation risk signal through analysis, and sends the high power operation risk signal or the low power operation risk signal to the remote monitoring center through the remote communication module. When the remote monitoring center receives the high power operation risk signal, it issues a corresponding warning to strengthen the operation supervision of power equipment in time, thereby ensuring the operation safety of power equipment. The specific analysis process of the power operation risk assessment module is as follows:

[0048] Set the monitoring period. Preferably, the monitoring period is 30 days; collect the number of times the air-cooled power module generates an air-cooled execution warning signal within the monitoring period and mark it as the air-cooled execution inspection value. Compare the air-cooled execution inspection value with the preset air-cooled execution inspection threshold. If the air-cooled execution inspection value exceeds the preset air-cooled execution inspection threshold, it indicates that the operation performance of the air-cooled power module is poor, which is not conducive to ensuring the operation stability and safety of power equipment, and then generate a high power operation risk signal.

[0049] If the air-cooled execution inspection value does not exceed the preset air-cooled execution inspection threshold, obtain all the faults that occurred to the corresponding power equipment within the monitoring period and classify all the faults; obtain the number of occurrences of the corresponding type of fault within the monitoring period and mark it as the fault occurrence frequency value. Each type of fault is preset with a set of preset fault weight values in advance. Among them, the values of the preset fault weight values are all positive numbers, and the greater the potential safety hazard brought by the corresponding type of fault, the greater the value of the preset fault weight value matched with it; mark the product of the fault occurrence frequency value of the corresponding type of fault and the corresponding preset fault weight value as the fault analysis value.

[0050] Obtain the fault analysis values of all types of faults within the monitoring period and sum them up to obtain the fault evaluation value. Also, set several analysis time periods within the monitoring period. If a fault occurs in the corresponding analysis time period for the power equipment, mark the corresponding analysis time period as an abnormal inspection time period, and calculate the ratio of the number of abnormal inspection time periods to the number of analysis time periods within the monitoring period to obtain the abnormal inspection evaluation value;

[0051] Dispatch the transmission inspection evaluation value and the monitoring management evaluation value, and perform numerical calculation on the transmission inspection evaluation value NY, the monitoring management evaluation value NF, the air-cooling execution alarm inspection value NK, the fault evaluation value NL, and the abnormal inspection evaluation value NX through the formula NP = a1 * NY + a2 * NF + a3 * NK + a4 * NL + a5 * NX to obtain the power operation risk value NP; where a1, a2, a3, a4, a5 are preset proportionality coefficients greater than zero. Moreover, the larger the numerical value of the power operation risk value NP, the greater the operation risk of the power equipment;

[0052] Perform a numerical comparison between the power operation risk value NP and the preset power operation risk threshold. If the power operation risk value NP exceeds the preset power operation risk threshold, indicating that the operation risk of the power equipment is relatively large, then generate a high power operation risk signal; if the power operation risk value NP does not exceed the preset power operation risk threshold, indicating that the operation risk of the power equipment is relatively small, then generate a low power operation risk signal.

[0053] Furthermore, the power operation risk assessment module is communicatively connected to the transmission detection assessment module and the monitoring management assessment module. The transmission detection assessment module detects and evaluates the communication performance of the remote communication module within the monitoring period, obtains the transmission inspection evaluation value NY through analysis, and sends the transmission inspection evaluation value NY to the power operation risk assessment module, which can not only accurately reflect the remote communication performance but also provide data support for the analysis process of the power operation risk assessment module to ensure the accuracy of its analysis results. The specific analysis process of the transmission detection assessment module is as follows:

[0054] Collect the average delay duration of the remote transmission module during information remote transmission within the monitoring period and mark it as the transmission delay inspection value, and collect the transmission failure frequency of the remote transmission module during information remote transmission within the monitoring period and mark it as the transmission degradation inspection value;

[0055] Perform a weighted summation calculation on the transmission delay inspection value LP and the transmission degradation inspection value LK through the formula NY = rq1 * LP + rq2 * LK to obtain the transmission inspection evaluation value NY; where rq1, rq2 are preset weight coefficients, and the values of rq1, rq2 are both positive. Moreover, the larger the numerical value of the transmission inspection evaluation value NY, the worse the remote transmission performance within the monitoring period, and the less conducive it is to ensuring the safe and stable operation of the power equipment.

[0056] The monitoring and management evaluation module analyzes the on-duty status of personnel in the remote monitoring center during the monitoring period, obtains the monitoring management evaluation value NF through analysis, and sends the monitoring management evaluation value NF to the power operation risk assessment module. It can not only accurately reflect the remote supervision performance of power equipment, but also provide data support for the analysis process of the power operation risk assessment module, further ensuring the accuracy of its analysis results. The specific analysis process of the monitoring and management evaluation module is as follows:

[0057] The remote monitoring center is monitored in real time through a monitoring camera. If there is no background management personnel in the remote monitoring center, it is determined that the remote monitoring center is in an unattended state.

[0058] When it is determined that the remote monitoring center is in an unattended state, timing starts to obtain the unattended duration. The sum of all unattended durations within the monitoring period is calculated to obtain the total unattended value, and the unattended duration is compared with the preset unattended duration threshold. The number of unattended durations exceeding the preset unattended duration threshold during the monitoring period is marked as the unattended high-risk value.

[0059] And the maximum unattended duration within the monitoring period is marked as the unattended time amplitude value. The monitoring management evaluation value NF is obtained by numerically calculating the total unattended value WF, the unattended high-risk value WY, and the unattended time amplitude value WS through the formula NF = hy2 * WY + (hy1 * WF + hy3 * WS) / 2. Among them, hy1, hy2, and hy3 are preset proportionality coefficients, and hy2 > hy3 > hy1 > 0. Moreover, the larger the value of the monitoring management evaluation value NF, the worse the remote supervision performance of power equipment during the monitoring period.

[0060] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the processor is communicatively connected to the air-cooled execution analysis module. The air-cooled execution analysis module is used to set the detection period, analyze the execution performance of the air-cooled power module during the detection period, and generate an air-cooled execution qualified signal or an air-cooled execution warning signal through analysis.

[0061] And the air-cooled execution qualified signal or the air-cooled execution warning signal is transmitted to the remote monitoring center through the remote communication module. When the remote monitoring center receives the air-cooled execution warning signal, it issues a corresponding warning, so that the background management personnel can timely conduct cause investigation and analysis, and check and repair the air-cooled power module as needed, thereby ensuring its operation performance and being conducive to ensuring the operation stability and safety of power equipment. The specific analysis process of the air-cooled execution analysis module is as follows:

[0062] Analyze in real time to determine whether the air-cooled power module is in an abnormal air-cooling state. Specifically: collect the real-time fan speed in the air-cooled power module, mark the deviation value between the real-time fan speed and the corresponding preset fan speed standard value as the fan speed deviation detection value, and compare the fan speed deviation detection value with the preset fan speed deviation detection threshold. If the fan speed deviation detection value exceeds the preset fan speed detection and evaluation threshold, indicating that the fan speed control situation is poor, then it is determined that the air-cooled power module is in an abnormal air-cooling state;

[0063] Start timing when it is determined that the air-cooled power module is in an abnormal air-cooling state until it returns to the normal state, and thus obtain the air-cooled abnormal holding detection value. Sum up all the air-cooled abnormal holding detection values during the detection period to obtain the risk abnormal total value; and compare the air-cooled abnormal holding detection value with the preset air-cooled abnormal holding detection threshold, and mark the number of air-cooled abnormal holding detection values that exceed the preset air-cooled abnormal holding detection threshold during the detection period as the high continuous air-cooled abnormal detection value, and calculate the average value of all the fan speed deviation detection values during the detection period to obtain the air-cooled execution verification value;

[0064] Through the formula Perform numerical calculations on the air-cooled abnormal total value FN, the high continuous air-cooled abnormal detection value FM, and the air-cooled execution verification value FW to obtain the air-cooled analysis value FX; where, ef1, ef2, ef3 are preset proportionality coefficients greater than zero, and ef2 > ef3 > ef1 > 0; and the larger the numerical value of the air-cooled analysis value FX, the worse the automatic regulation performance of the air-cooled power module during the detection period;

[0065] Compare the air-cooled analysis value FX with the preset air-cooled analysis threshold. If the air-cooled analysis value FX exceeds the preset air-cooled analysis threshold, indicating that the automatic regulation performance of the air-cooled power module during the detection period is poor, then generate an air-cooled execution warning signal; if the air-cooled analysis value FX does not exceed the preset air-cooled analysis threshold, indicating that the automatic regulation performance of the air-cooled power module during the detection period is good, then generate an air-cooled execution qualified signal.

[0066] Embodiment 3: As Figure 3 shown, the difference between this embodiment and Embodiment 1 and Embodiment 2 is that a power data monitoring method based on an air-cooled power supply proposed by the present invention includes the following steps:

[0067] Step 1: The air-cooled power module supplies power to the corresponding power equipment and dissipates heat from itself through air-cooling technology;

[0068] Step 2: The power data acquisition and analysis module monitors the operation of the power equipment, automatically judges the operation state and fault type of the power equipment, and generates corresponding fault warning information;

[0069] Step 3: The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, and generates a high power operation risk signal or a low power operation risk signal through analysis.

[0070] Step 4: When the corresponding fault warning information or high power operation risk signal is generated, the remote monitoring center issues a corresponding warning.

[0071] Working principle of the present invention: When in use, the air-cooled power supply module that uses air-cooling technology for heat dissipation is used to supply power to ensure the continuous and stable operation of the corresponding power equipment. The power data acquisition and analysis module monitors the operation of the power equipment to automatically judge the operation status and fault type of the power equipment, and generates corresponding fault warning information so as to make corresponding reasonable countermeasures in time, thereby ensuring the safe and stable operation of the corresponding power equipment. Moreover, the power operation risk assessment module comprehensively analyzes and evaluates the operation risk of the corresponding power equipment, and generates a high power operation risk signal or a low power operation risk signal through analysis. When the high power operation risk signal is generated, the operation supervision of the power equipment is strengthened to further ensure the operation safety and operation stability of the power equipment.

[0072] The above formulas are all dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art in the technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A power data monitoring system based on air-cooled power supply, characterized in that: It includes a processor, an air-cooled power supply module, a power data acquisition and analysis module, a power operation risk assessment module, a remote communication module and a remote monitoring center; The air-cooled power module supplies power to the corresponding power equipment, dissipates heat through air cooling technology, and automatically controls the fan speed through intelligent temperature control technology; The power data acquisition and analysis module monitors the operation of power equipment. It has multiple algorithms and models built in to automatically determine the operating status and fault type of power equipment, generate corresponding fault warning information, and send the corresponding fault warning information to the remote monitoring center via the remote communication module; The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, generates a high-risk power operation signal or a low-risk power operation signal through analysis, and sends the high-risk power operation signal or the low-risk power operation signal to the remote monitoring center via the remote communication module. When the remote monitoring center receives the high-risk power operation signal, it issues a corresponding warning; The processor is communicatively connected to the air cooling execution analysis module, and the air cooling execution analysis module is used to set a detection period, analyze the execution performance of the air cooling power module in the detection period, and generate an air cooling execution qualified signal or an air cooling execution early warning signal through the analysis; The air cooling execution qualified signal or the air cooling execution warning signal is transmitted to the remote monitoring center via the remote communication module, and the remote monitoring center issues a corresponding warning when receiving the air cooling execution warning signal; The specific analysis process of the air cooling execution analysis module is as follows: Through analysis, it is possible to determine in real time whether the air-cooled power module is in an air-cooled abnormal state. When it is determined that the air-cooled power module is in an air-cooled abnormal state, the timing starts until it returns to a normal state, and the air-cooled abnormal inspection value is obtained accordingly. All air-cooled abnormal inspection values ​​within the detection period are summed up to obtain the total risk abnormality value; The air cooling abnormality detection value is numerically compared with the preset air cooling abnormality detection threshold, and the number of air cooling abnormality detection values ​​exceeding the preset air cooling abnormality detection threshold during the detection period is marked as a high continuous air cooling abnormality measurement value; And calculate the average of all fan speed deviation values ​​within the detection period to obtain the air cooling execution verification value, through the formula The air cooling analysis value FX is obtained by numerically calculating the total value of air cooling abnormality FN, the high continuous air cooling abnormality measurement value FM and the air cooling execution verification value FW; wherein ef1, ef2 and ef3 are preset proportional coefficients with values ​​greater than zero, ef2>ef3>ef1>0; the air cooling analysis value is numerically compared with the preset air cooling analysis threshold value, and if the air cooling analysis value exceeds the preset air cooling analysis threshold value, an air cooling execution warning signal is generated; if the air cooling analysis value does not exceed the preset air cooling analysis threshold value, an air cooling execution qualified signal is generated; The specific analysis process of judging whether the air-cooled power module is in an abnormal air-cooled state in real time through analysis is as follows: The real-time fan speed in the air-cooled power supply module is collected, and the deviation between the real-time fan speed and the corresponding preset fan speed standard value is marked as the fan speed deviation value. The fan speed deviation value is numerically compared with the preset fan speed deviation threshold. If the fan speed deviation value exceeds the preset fan speed deviation threshold, it is determined that the air-cooled power supply module is in an air-cooling abnormal state.

2. The power data monitoring system based on air-cooled power supply according to claim 1, characterized in that: The specific analysis process of the power operation risk assessment module is as follows: Set a monitoring period, collect the number of times the air-cooling power module generates an air-cooling execution warning signal within the monitoring period and mark it as the air-cooling execution warning value, compare the air-cooling execution warning value with the preset air-cooling execution warning threshold, and if the air-cooling execution warning value exceeds the preset air-cooling execution warning threshold, a high-risk power operation signal is generated.

3. The power data monitoring system based on air-cooled power supply according to claim 2 is characterized in that: If the air cooling execution warning value does not exceed the preset air cooling execution warning threshold, all faults occurring in the corresponding power equipment during the monitoring period are obtained, and all faults are classified; the number of occurrences of the corresponding type of fault during the monitoring period is obtained and marked as the fault frequency value, and each type of fault is set in advance to correspond to a set of preset fault weight values, and the product of the fault frequency value of the corresponding type of fault and the corresponding preset fault weight value is marked as the fault analysis value; Obtain the fault analysis values ​​of all types of faults within the monitoring period and sum them up to obtain a fault assessment value, and set a number of analysis periods within the monitoring period. If a fault occurs in the power equipment during the corresponding analysis period, the corresponding analysis period is marked as an abnormal detection period, and the number of abnormal detection periods within the monitoring period and the number of analysis periods are calculated to obtain an abnormal detection assessment value; The transmission inspection value NY, the monitoring tube evaluation value NF, the air cooling execution warning inspection value NK, the fault evaluation value NL and the abnormal inspection evaluation value NX are numerically calculated by the formula NP=a1*NY+a2*NF+a3*NK+a4*NL+a5*NX to obtain the power operation risk value NP; wherein a1, a2, a3, a4, and a5 are preset proportional coefficients with values ​​greater than zero; the power operation risk value is numerically compared with the preset power operation risk threshold value, and if the power operation risk value exceeds the preset power operation risk threshold value, a high-risk power operation signal is generated; if the power operation risk value does not exceed the preset power operation risk threshold value, a low-risk power operation signal is generated; The power operation risk assessment module is connected to the transmission detection assessment module and the monitoring management assessment module in communication. The transmission detection assessment module detects and assesses the communication performance of the remote communication module within the monitoring period, obtains the transmission detection and assessment value through analysis, and sends the transmission detection and assessment value to the power operation risk assessment module; The monitoring management evaluation module analyzes the on-the-job status of the personnel in the remote monitoring center during the monitoring period, obtains the monitoring management evaluation value through analysis, and sends the monitoring management evaluation value to the power operation risk assessment module; The specific analysis process of the transmission detection and evaluation module is as follows: The average delay time of the remote transmission module during the monitoring period when performing remote information transmission is collected and marked as the transmission delay inspection value, and the transmission failure frequency of the remote transmission module during the monitoring period when performing remote information transmission is collected and marked as the transmission poor inspection value; the transmission delay inspection value LP and the transmission poor inspection value LK are weighted and calculated by the formula NY=rq1*LP+rq2*LK to obtain the transmission inspection evaluation value NY; wherein rq1 and rq2 are preset weight coefficients, and the values ​​of rq1 and rq2 are both positive numbers; The specific analysis process of the monitoring management evaluation module is as follows: The remote monitoring center is monitored in real time through monitoring cameras. If there is no backend management personnel in the remote monitoring center, it is judged that the remote monitoring center is in an unattended state; When it is determined that the remote monitoring center is in an unattended state, the timing is started to obtain the unattended time, all unattended time in the monitoring period are summed up to obtain the total unattended time value, and the unattended time is numerically compared with the preset unattended time threshold, and the number of unattended time that exceeds the preset unattended time threshold during the monitoring period is marked as an unattended high risk value; And mark the unattended duration with the largest value in the monitoring period as the unattended amplitude, and calculate the total unattended time value WF, the unattended high risk value WY and the unattended amplitude WS by the formula NF=hy2*WY+(hy1*WF+hy3*WS) / 2 to obtain the monitoring management evaluation value NF; among them, hy1, hy2, hy3 are preset proportional coefficients, hy2>hy3>hy1>0.

4. A method for monitoring power data based on an air-cooled power supply, characterized in that: The method adopts the electric power data monitoring system based on the air-cooled power supply as described in any one of claims 1-3.

Citation Information

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