CN119010357A - Power data monitoring method and system based on air-cooled power supply - Google Patents
Power data monitoring method and system based on air-cooled power supply Download PDFInfo
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- CN119010357A CN119010357A CN202411261697.8A CN202411261697A CN119010357A CN 119010357 A CN119010357 A CN 119010357A CN 202411261697 A CN202411261697 A CN 202411261697A CN 119010357 A CN119010357 A CN 119010357A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Cooling Or The Like Of Electrical Apparatus (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention belongs to the technical field of power supervision, and particularly relates to a power data monitoring method and system based on an air-cooled power supply, wherein the system comprises a processor, an air-cooled power supply module, a power data acquisition analysis module, a power operation risk assessment module, a remote communication module and a remote monitoring center; according to the invention, the air-cooled power supply module for radiating by adopting an air-cooled technology is used for supplying power to ensure continuous and stable operation of corresponding power equipment, the power data acquisition and analysis module is used for monitoring the operation of the power equipment to automatically judge the operation state and the fault type of the power equipment, the power operation risk assessment module is used for comprehensively analyzing and comprehensively assessing the operation risk of the corresponding power equipment, and the power operation high-risk signal or the power operation low-risk signal is generated by analysis, so that the operation supervision of the power equipment is enhanced when the power operation high-risk signal is generated, the operation safety and the operation stability of the power equipment are further ensured, and the intelligent degree is high.
Description
Technical Field
The invention relates to the technical field of power supervision, in particular to a power data monitoring method and system based on an air-cooled power supply.
Background
The power data monitoring refers to the process of collecting, transmitting, processing, analyzing and displaying power data in the power equipment in real time through a computer, a communication technology and other related equipment, and the process aims at ensuring the safe and stable operation of the power equipment and improving the reliability and efficiency of power supply;
at present, when electric power data is monitored, the operation of the electric power equipment is difficult to effectively monitor, the operation risk of the corresponding electric power equipment is comprehensively estimated, the operation safety and the operation stability of the electric power equipment are not guaranteed, the management difficulty of background management staff is increased, and the intelligent degree is low;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a power data monitoring method and system based on an air-cooled power supply, which solve the problems that the operation of power equipment is difficult to effectively monitor and comprehensively evaluate the operation risk of the corresponding power equipment in the prior art, the operation safety and the operation stability of the power equipment are not favorable to be ensured, the intelligent degree is low and the management difficulty is high.
In order to achieve the above purpose, the present invention provides the following technical solutions:
An electric power data monitoring system based on an air-cooled power supply comprises a processor, an air-cooled power supply module, an electric power data acquisition and analysis module, an electric power operation risk assessment module, a remote communication module and a remote monitoring center;
The air-cooled power supply module supplies power to corresponding power equipment, dissipates heat by an air-cooled technology, and automatically regulates and controls the rotation speed of a fan by an intelligent temperature control technology;
the power data acquisition and analysis module monitors the operation of the power equipment, and is internally provided with a plurality of algorithms and models to automatically judge the operation state and the fault type of the power equipment, generate corresponding fault early warning information and send the corresponding fault early warning information to a remote monitoring center through the remote communication module;
The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, generates a power operation high risk signal or a power operation low risk signal through analysis, and sends the power operation high risk signal or the power operation low risk signal to the remote monitoring center through the remote communication module, and the remote monitoring center sends corresponding early warning when receiving the power operation high risk signal.
Further, the processor is in communication connection with an air-cooling execution analysis module, and the air-cooling execution analysis module is used for setting a detection period, analyzing the execution performance of the air-cooling power supply module in the detection period, and generating an air-cooling execution qualified signal or an air-cooling execution early warning signal through analysis;
And the air cooling execution qualified signal or the air cooling execution early warning signal is transmitted to a remote monitoring center through a remote communication module, and the remote monitoring center sends out corresponding early warning when receiving the air cooling execution early warning signal.
Further, the specific analysis process of the air-cooled execution analysis module is as follows:
Judging whether the air-cooled power supply module is in an air-cooled abnormal state or not in real time through analysis, starting timing when judging that the air-cooled power supply module is in the air-cooled abnormal state until the air-cooled power supply module is restored to a normal state, obtaining an air-cooled abnormal detection value according to the timing, and summing all the air-cooled abnormal detection values in a detection period to obtain a risk abnormal total value; the air-cooling performing abnormal-holding detection value is compared with a preset air-cooling performing abnormal-holding detection threshold value in a numerical value, and the number of the air-cooling performing abnormal-holding detection values exceeding the preset air-cooling performing abnormal-holding detection threshold value in a detection period is marked as a high-duration air-cooling abnormal-holding detection value;
Performing average value calculation on all fan rotation speed deviation values in the detection period to obtain an air cooling execution verification value, performing numerical calculation on an air cooling execution abnormal sum value, a high-duration air cooling abnormal measurement value and an air cooling execution verification value to obtain an air cooling execution analysis value, performing numerical comparison on the air cooling execution analysis value and a preset air cooling execution analysis threshold value, and generating an air cooling execution early warning signal if the air cooling execution analysis value exceeds the preset air cooling execution analysis threshold value; if the air cooling analysis value does not exceed the preset air cooling analysis threshold value, generating an air cooling execution qualified signal.
Further, a specific analysis process for judging whether the air-cooled power supply module is in an air-cooled abnormal state in real time through analysis is as follows:
the method comprises the steps of collecting real-time fan rotating speed in an air-cooling power supply module, marking a deviation value between the real-time fan rotating speed and a corresponding preset fan rotating speed standard value as a fan rotating speed deviation analysis value, carrying out numerical comparison on the fan rotating speed deviation analysis value and a preset fan rotating speed deviation analysis threshold value, and judging that the air-cooling power supply module is in an air-cooling abnormal state if the fan rotating speed deviation analysis value exceeds the preset fan rotating speed deviation analysis threshold value.
Further, the specific analysis process of the power operation risk assessment module is as follows:
Setting a monitoring period, collecting the times of generating an air cooling execution early warning signal by an air cooling power supply module in the monitoring period, marking the times as an air cooling execution early warning value, comparing the air cooling execution early warning value with a preset air cooling execution early warning threshold value, and generating an electric power operation high risk signal if the air cooling execution early warning value exceeds the preset air cooling execution early warning threshold value.
Further, if the air cooling execution alarm value does not exceed the preset air cooling execution alarm threshold value, acquiring all faults of the corresponding electric equipment in the monitoring period, and classifying all the faults; acquiring the occurrence times of the corresponding type of faults in a monitoring period, marking the occurrence times as fault frequency generation values, presetting a group of preset fault weight values corresponding to each type of faults respectively, and marking the product of the fault frequency generation values of the corresponding type of faults and the corresponding preset fault weight values as a fault analysis value;
Obtaining fault analysis values of all types of faults in a monitoring period, carrying out summation calculation to obtain fault evaluation values, setting a plurality of analysis periods in the monitoring period, marking the corresponding analysis period as an abnormal detection period if the power equipment fails in the corresponding analysis period, and calculating the number of the abnormal detection periods and the number of the analysis periods in the monitoring period to obtain the abnormal detection evaluation values;
performing numerical calculation on the transmission evaluation value, the monitoring management evaluation value, the air cooling execution alarm evaluation value, the fault evaluation value and the abnormal detection evaluation value to obtain an electric power operation risk value, performing numerical comparison on the electric power operation risk value and a preset electric power operation risk threshold value, and generating an electric power operation high risk signal if the electric power operation risk value exceeds the preset electric power operation risk threshold value; and if the electric power running risk value does not exceed the preset electric power running risk threshold value, generating an electric power running low risk signal.
Further, the power operation risk assessment module is in communication connection with the transmission detection assessment module and the monitoring management assessment module, the transmission detection assessment module detects and assesses the communication performance of the remote communication module in a monitoring period, a transmission assessment value is obtained through analysis, and the transmission assessment value is sent to the power operation risk assessment module;
the monitoring management evaluation module analyzes the on-duty condition of personnel of the remote monitoring center in the monitoring period, obtains a monitoring management evaluation value through analysis, and sends the monitoring management evaluation value to the power operation risk evaluation module.
Further, the specific analysis process of the transmission detection evaluation module is as follows:
The method comprises the steps of collecting average delay time of a remote transmission module in a monitoring period when information is transmitted remotely and marking the average delay time as a transmission delay value, and collecting transmission failure frequency of the remote transmission module in the monitoring period when the information is transmitted remotely and marking the transmission failure frequency as a transmission inferior value; and obtaining a transmission evaluation value by weighting and summing the transmission delay detection value and the transmission inferior detection value.
Further, the specific analysis process of the monitoring management evaluation module is as follows:
monitoring the remote monitoring center in real time through the monitoring camera, and judging that the remote monitoring center is in an unattended state if no background manager exists in the remote monitoring center;
starting timing to obtain unattended duration when the remote monitoring center is in an unattended state, summing all unattended duration in a monitoring period to obtain an unattended total time value, performing numerical comparison on the unattended duration and a preset unattended duration threshold, and marking the number of unattended durations exceeding the preset unattended duration threshold in the monitoring period as an unattended high risk value;
And marking the unattended duration with the largest value in the monitoring period as an unattended amplitude, and obtaining a monitoring management evaluation value by carrying out numerical calculation on the unattended total time value, the unattended high risk value and the unattended amplitude.
Furthermore, the invention also provides a power data monitoring method based on the air-cooled power supply, which comprises the following steps:
step one, an air-cooled power supply module supplies power for corresponding power equipment and dissipates heat of the power equipment by an air-cooled technology;
Step two, the power data acquisition and analysis module monitors the operation of the power equipment, automatically judges the operation state and the fault type of the power equipment, and generates corresponding fault early warning information;
Thirdly, detecting and analyzing the operation risk of the corresponding power equipment by the power operation risk assessment module, and generating a power operation high risk signal or a power operation low risk signal through analysis;
And step four, when corresponding fault early warning information or a power running high risk signal is generated, the remote monitoring center sends out corresponding early warning.
Compared with the prior art, the invention has the beneficial effects that:
1. In the invention, the air cooling power supply module for radiating by adopting an air cooling technology is used for supplying power to ensure continuous and stable operation of corresponding power equipment, the power data acquisition and analysis module is used for monitoring the operation of the power equipment to automatically judge the operation state and the fault type of the power equipment, the power operation risk assessment module is used for comprehensively analyzing and comprehensively assessing the operation risk of the corresponding power equipment, and the operation supervision of the power equipment is enhanced when a power operation high risk signal is generated, so that the operation safety and the operation stability of the power equipment are ensured, and the intelligent degree is high;
2. According to the invention, the execution performance of the air-cooled power supply module in the detection period is analyzed through the air-cooled execution analysis module, the air-cooled execution qualified signal or the air-cooled execution early warning signal is generated through analysis, and the remote monitoring center is enabled to send out early warning when the air-cooled execution early warning signal is generated, so that a background manager can timely conduct reason investigation and analysis, and timely check and maintenance are conducted on the air-cooled power supply module according to the requirement, so that the running performance of the air-cooled power supply module is ensured, and the running stability and safety of the electric power equipment are promoted.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a flow chart of a method according to a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the electric power data monitoring system based on the air-cooled power supply provided by the invention comprises a processor, an air-cooled power supply module, an electric power data acquisition and analysis module, an electric power operation risk assessment module, a remote communication module and a remote monitoring center;
the air cooling power supply module supplies power to corresponding power equipment, radiates heat by an air cooling technology, remarkably improves the heat radiation efficiency, automatically regulates and controls the rotation speed of the fan by an intelligent temperature control technology, ensures the heat radiation effect and saves energy sources;
The power data acquisition and analysis module monitors the operation of the power equipment (acquires the operation parameters of the temperature, the current, the voltage and the like of the power equipment in real time), embeds various algorithms and models to automatically judge the operation state and the fault type of the power equipment, generates corresponding fault early warning information, and sends the corresponding fault early warning information to a remote monitoring center through the remote communication module so as to timely make corresponding reasonable countermeasures, thereby ensuring the safe and stable operation of the corresponding power equipment.
The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, generates a power operation high risk signal or a power operation low risk signal through analysis, and sends the power operation high risk signal or the power operation low risk signal to the remote monitoring center through the remote communication module, and the remote monitoring center sends out corresponding early warning when receiving the power operation high risk signal so as to timely strengthen the operation supervision of the power equipment, thereby ensuring the operation safety of the power equipment; the specific analysis process of the power operation risk assessment module is as follows:
Setting a monitoring period, preferably thirty days; the method comprises the steps that the times of generating an air cooling execution early warning signal by an air cooling power supply module in a monitoring period are collected and marked as air cooling execution alarm detection values, the air cooling execution alarm detection values are compared with preset air cooling execution alarm detection thresholds in numerical values, if the air cooling execution alarm detection values exceed the preset air cooling execution alarm detection thresholds, the air cooling power supply module is indicated to be poor in operation performance, and the operation stability and safety of power equipment are not guaranteed, and then a power operation high risk signal is generated;
If the air cooling execution alarm detection value does not exceed the preset air cooling execution alarm detection threshold value, acquiring all faults of corresponding electric equipment in the monitoring period, and classifying all the faults; acquiring the occurrence times of the corresponding type of faults in a monitoring period, marking the occurrence times as fault frequency generation values, and presetting a group of preset fault weight values corresponding to each type of faults respectively, wherein the values of the preset fault weight values are positive numbers, and the larger the potential safety hazard brought by the corresponding type of faults is, the larger the value of the preset fault weight value matched with the corresponding type of faults is; marking the product of the fault frequency generation value of the corresponding type of fault and the corresponding preset fault weight value as a fault analysis value;
Obtaining fault analysis values of all types of faults in a monitoring period, carrying out summation calculation to obtain fault evaluation values, setting a plurality of analysis periods in the monitoring period, marking the corresponding analysis period as an abnormal detection period if the power equipment fails in the corresponding analysis period, and calculating the number of the abnormal detection periods and the number of the analysis periods in the monitoring period to obtain the abnormal detection evaluation values;
Scheduling a transmission evaluation value and a monitoring management evaluation value, and carrying out numerical calculation on the transmission evaluation value NY, the monitoring management evaluation value NF, the air cooling execution warning evaluation value NK, the fault evaluation value NL and the abnormal evaluation value NX through a formula NP=a1+a2+NF+a3+NK4+a5 to obtain an electric power operation risk value NP; wherein a1, a2, a3, a4 and a5 are preset proportionality coefficients with values larger than zero, and the larger the numerical value of the power operation risk value NP is, the larger the operation risk of the power equipment is;
Comparing the power operation risk value NP with a preset power operation risk threshold value, and generating a power operation high risk signal if the power operation risk value NP exceeds the preset power operation risk threshold value, which indicates that the operation risk of the power equipment is large; and if the power operation risk value NP does not exceed the preset power operation risk threshold value, indicating that the operation risk of the power equipment is smaller, generating a power operation low risk signal.
Furthermore, the power operation risk assessment module is in communication connection with the transmission detection assessment module and the monitoring management assessment module, the transmission detection assessment module carries out detection assessment on the communication performance of the remote communication module in the monitoring period, a transmission assessment value NY is obtained through analysis, and the transmission assessment value NY is sent to the power operation risk assessment module, so that the remote communication performance can be accurately fed back, data support can be provided for the analysis process of the power operation risk assessment module, and the accuracy of the analysis result is ensured; the specific analysis process of the transmission detection evaluation module is as follows:
The method comprises the steps of collecting average delay time of a remote transmission module in a monitoring period when information is transmitted remotely and marking the average delay time as a transmission delay value, and collecting transmission failure frequency of the remote transmission module in the monitoring period when the information is transmitted remotely and marking the transmission failure frequency as a transmission inferior value;
The transmission delay detection value LP and the transmission inferior detection value LK are weighted and summed to obtain a transmission evaluation value NY through a formula NY=rq1+rq2; wherein rq1 and rq2 are preset weight coefficients, and the values of rq1 and rq2 are positive numbers; and the larger the value of the transmission evaluation value NY is, the worse the remote transmission performance in the monitoring period is, and the more unfavorable the safety and stability operation of the power equipment are ensured.
The monitoring management evaluation module analyzes the on-duty condition of personnel of the remote monitoring center in the monitoring period, obtains a monitoring management evaluation value NF through analysis, and sends the monitoring management evaluation value NF to the power operation risk evaluation module, so that the remote monitoring performance aiming at the power equipment can be accurately fed back, data support can be provided for the analysis process of the power operation risk evaluation module, and the accuracy of the analysis result is further ensured; the specific analysis process of the monitoring management evaluation module is as follows:
monitoring the remote monitoring center in real time through the monitoring camera, and judging that the remote monitoring center is in an unattended state if no background manager exists in the remote monitoring center;
starting timing to obtain unattended duration when the remote monitoring center is in an unattended state, summing all unattended duration in a monitoring period to obtain an unattended total time value, performing numerical comparison on the unattended duration and a preset unattended duration threshold, and marking the number of unattended durations exceeding the preset unattended duration threshold in the monitoring period as an unattended high risk value;
Marking the unattended duration with the largest value in the monitoring period as an unattended amplitude value, and carrying out numerical calculation on an unattended total time value WF, an unattended high risk value WY and an unattended amplitude value WS through a formula NF=hy2 WY+ (hy1 WF+hy3 WS)/2 to obtain a monitoring and management evaluation value NF; wherein, hy1, hy2 and hy3 are preset proportionality coefficients, and hy2 > hy3 > hy1 > 0; and, the larger the value of the monitoring tube evaluation value NF, the worse the remote supervision performance for the power equipment in the monitoring period.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and the first embodiment is that the processor is communicatively connected to the air-cooling execution analysis module, where the air-cooling execution analysis module is configured 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 analysis;
The air cooling execution qualified signal or the air cooling execution early warning signal is transmitted to the remote monitoring center through the remote communication module, and the remote monitoring center sends out corresponding early warning when receiving the air cooling execution early warning signal, so that a background manager can timely conduct reason investigation and analysis, and timely check and maintain the air cooling power supply module according to the requirement, thereby ensuring the operation performance of the air cooling power supply module and being beneficial to ensuring the operation stability and safety of the power equipment; the specific analysis process of the air cooling execution analysis module is as follows:
Whether the air-cooled power supply module is in an air-cooled abnormal state is judged in real time through analysis, specifically: the method comprises the steps of collecting real-time fan rotating speed in an air-cooling power supply module, marking a deviation value between the real-time fan rotating speed and a corresponding preset fan rotating speed standard value as a fan rotating speed deviation value, carrying out numerical comparison on the fan rotating speed deviation value and a preset fan rotating speed deviation checking threshold value, and judging that the air-cooling power supply module is in an air-cooling abnormal state if the fan rotating speed deviation checking value exceeds the preset fan rotating speed deviation checking threshold value to indicate that the fan rotating speed control condition is poor;
Starting timing when the air-cooled power supply module is judged to be in an air-cooled abnormal state until the air-cooled power supply module is recovered to a normal state, obtaining air-cooled abnormal detection values according to the air-cooled abnormal detection values, and summing all the air-cooled abnormal detection values in a detection period to obtain a risk abnormal total value; the air-cooling performing abnormal-holding detection value is compared with a preset air-cooling performing abnormal-holding detection threshold value in a numerical value, the number of the air-cooling performing abnormal-holding detection values exceeding the preset air-cooling performing abnormal-holding detection threshold value in a detection period is marked as a high continuous air-cooling abnormal-holding detection value, and average value calculation is carried out on all fan rotating speed deviation detection values in the detection period to obtain an air-cooling performing verification value;
By the formula Performing numerical calculation on the air cooling execution abnormal sum value FN, the high-duration air cooling abnormal measurement value FM and the air cooling execution verification value FW to obtain an air cooling execution analysis value FX; wherein, ef1, ef2 and ef3 are preset proportion coefficients with values larger than zero, and ef2 > ef3 > ef1 > 0; and the larger the value of the air cooling analysis value FX is, the worse the automatic regulation performance of the air cooling power supply module in the detection period is shown;
comparing the air cooling analysis value FX with a preset air cooling analysis threshold value, and generating an air cooling execution early warning signal if the air cooling analysis value FX exceeds the preset air cooling analysis threshold value, which indicates that the automatic regulation performance of the air cooling power supply module in the detection period is poor; if the air cooling analysis value FX does not exceed the preset air cooling analysis threshold value, indicating that the automatic regulation performance of the air cooling power supply module in the detection period is better, generating an air cooling execution qualified signal.
Embodiment III: as shown in fig. 3, the difference between the present embodiment and the first and second embodiments is that the method for monitoring electric power data based on an air-cooled power supply according to the present invention includes the following steps:
step one, an air-cooled power supply module supplies power for corresponding power equipment and dissipates heat of the power equipment by an air-cooled technology;
Step two, the power data acquisition and analysis module monitors the operation of the power equipment, automatically judges the operation state and the fault type of the power equipment, and generates corresponding fault early warning information;
Thirdly, detecting and analyzing the operation risk of the corresponding power equipment by the power operation risk assessment module, and generating a power operation high risk signal or a power operation low risk signal through analysis;
And step four, when corresponding fault early warning information or a power running high risk signal is generated, the remote monitoring center sends out corresponding early warning.
The working principle of the invention is as follows: when the power supply system is used, the air cooling power supply module for radiating by adopting an air cooling technology is used for supplying power to ensure continuous and stable operation of corresponding power equipment, the power data acquisition and analysis module is used for monitoring the operation of the power equipment so as to automatically judge the operation state and the fault type of the power equipment and generate corresponding fault early warning information so as to timely make corresponding reasonable countermeasures, thereby ensuring safe and stable operation of the corresponding power equipment, and the power operation risk assessment module is used for comprehensively analyzing and comprehensively assessing the operation risk of the corresponding power equipment, generating a power operation high risk signal or a power operation low risk signal through analysis, and enhancing the operation supervision of the power equipment when generating the power operation high risk signal so as to further ensure the operation safety and the operation stability of the power equipment.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The power data monitoring system based on the air-cooled power supply is characterized by comprising 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 supply module supplies power to corresponding power equipment, dissipates heat by an air-cooled technology, and automatically regulates and controls the rotation speed of a fan by an intelligent temperature control technology;
the power data acquisition and analysis module monitors the operation of the power equipment, and is internally provided with a plurality of algorithms and models to automatically judge the operation state and the fault type of the power equipment, generate corresponding fault early warning information and send the corresponding fault early warning information to a remote monitoring center through the remote communication module;
The power operation risk assessment module detects and analyzes the operation risk of the corresponding power equipment, generates a power operation high risk signal or a power operation low risk signal through analysis, and sends the power operation high risk signal or the power operation low risk signal to the remote monitoring center through the remote communication module, and the remote monitoring center sends corresponding early warning when receiving the power operation high risk signal.
2. The power data monitoring system based on the air-cooled power supply according to claim 1, wherein the processor is in communication connection with an air-cooled execution analysis module, the air-cooled execution analysis module is used for setting a detection period, analyzing the execution performance of the air-cooled power supply module in the detection period, and generating an air-cooled execution qualified signal or an air-cooled execution early warning signal through analysis;
And the air cooling execution qualified signal or the air cooling execution early warning signal is transmitted to a remote monitoring center through a remote communication module, and the remote monitoring center sends out corresponding early warning when receiving the air cooling execution early warning signal.
3. The power data monitoring system based on an air-cooled power supply according to claim 2, wherein the specific analysis process of the air-cooled execution analysis module is as follows:
Judging whether the air-cooled power supply module is in an air-cooled abnormal state or not in real time through analysis, starting timing when judging that the air-cooled power supply module is in the air-cooled abnormal state until the air-cooled power supply module is restored to a normal state, obtaining an air-cooled abnormal detection value according to the timing, and summing all the air-cooled abnormal detection values in a detection period to obtain a risk abnormal total value; the air-cooling performing abnormal-holding detection value is compared with a preset air-cooling performing abnormal-holding detection threshold value in a numerical value, and the number of the air-cooling performing abnormal-holding detection values exceeding the preset air-cooling performing abnormal-holding detection threshold value in a detection period is marked as a high-duration air-cooling abnormal-holding detection value;
Performing average value calculation on all fan rotation speed deviation values in the detection period to obtain an air cooling execution verification value, performing numerical calculation on an air cooling execution abnormal sum value, a high-duration air cooling abnormal measurement value and an air cooling execution verification value to obtain an air cooling execution analysis value, performing numerical comparison on the air cooling execution analysis value and a preset air cooling execution analysis threshold value, and generating an air cooling execution early warning signal if the air cooling execution analysis value exceeds the preset air cooling execution analysis threshold value; if the air cooling analysis value does not exceed the preset air cooling analysis threshold value, generating an air cooling execution qualified signal.
4. The system for monitoring power data based on an air-cooled power supply according to claim 3, wherein the specific analysis process for determining whether the air-cooled power supply module is in an air-cooled abnormal state in real time by analysis is as follows:
the method comprises the steps of collecting real-time fan rotating speed in an air-cooling power supply module, marking a deviation value between the real-time fan rotating speed and a corresponding preset fan rotating speed standard value as a fan rotating speed deviation analysis value, carrying out numerical comparison on the fan rotating speed deviation analysis value and a preset fan rotating speed deviation analysis threshold value, and judging that the air-cooling power supply module is in an air-cooling abnormal state if the fan rotating speed deviation analysis value exceeds the preset fan rotating speed deviation analysis threshold value.
5. The system for monitoring power data based on an air-cooled power supply according to claim 1, wherein the specific analysis process of the power operation risk assessment module is as follows:
Setting a monitoring period, collecting the times of generating an air cooling execution early warning signal by an air cooling power supply module in the monitoring period, marking the times as an air cooling execution early warning value, comparing the air cooling execution early warning value with a preset air cooling execution early warning threshold value, and generating an electric power operation high risk signal if the air cooling execution early warning value exceeds the preset air cooling execution early warning threshold value.
6. The system for monitoring power data based on an air-cooled power supply according to claim 5, wherein if the air-cooled execution alert value does not exceed a preset air-cooled execution alert threshold, all faults occurring in the corresponding power equipment in the monitoring period are obtained, and all faults are classified; acquiring the occurrence times of the corresponding type of faults in a monitoring period, marking the occurrence times as fault frequency generation values, presetting a group of preset fault weight values corresponding to each type of faults respectively, and marking the product of the fault frequency generation values of the corresponding type of faults and the corresponding preset fault weight values as a fault analysis value;
Obtaining fault analysis values of all types of faults in a monitoring period, carrying out summation calculation to obtain fault evaluation values, setting a plurality of analysis periods in the monitoring period, marking the corresponding analysis period as an abnormal detection period if the power equipment fails in the corresponding analysis period, and calculating the number of the abnormal detection periods and the number of the analysis periods in the monitoring period to obtain the abnormal detection evaluation values;
performing numerical calculation on the transmission evaluation value, the monitoring management evaluation value, the air cooling execution alarm evaluation value, the fault evaluation value and the abnormal detection evaluation value to obtain an electric power operation risk value, performing numerical comparison on the electric power operation risk value and a preset electric power operation risk threshold value, and generating an electric power operation high risk signal if the electric power operation risk value exceeds the preset electric power operation risk threshold value; and if the electric power running risk value does not exceed the preset electric power running risk threshold value, generating an electric power running low risk signal.
7. The system for monitoring power data based on an air-cooled power supply according to claim 5, wherein the power operation risk assessment module is in communication connection with the transmission detection assessment module and the monitoring management assessment module, the transmission detection assessment module detects and assesses the communication performance of the remote communication module in a monitoring period, obtains a transmission check assessment value through analysis, and sends the transmission check assessment value to the power operation risk assessment module;
the monitoring management evaluation module analyzes the on-duty condition of personnel of the remote monitoring center in the monitoring period, obtains a monitoring management evaluation value through analysis, and sends the monitoring management evaluation value to the power operation risk evaluation module.
8. The system for monitoring power data based on an air-cooled power supply according to claim 7, wherein the specific analysis process of the transmission detection evaluation module is as follows:
The method comprises the steps of collecting average delay time of a remote transmission module in a monitoring period when information is transmitted remotely and marking the average delay time as a transmission delay value, and collecting transmission failure frequency of the remote transmission module in the monitoring period when the information is transmitted remotely and marking the transmission failure frequency as a transmission inferior value; and obtaining a transmission evaluation value by weighting and summing the transmission delay detection value and the transmission inferior detection value.
9. The system for monitoring power data based on an air-cooled power supply according to claim 7, wherein the specific analysis process of the monitoring management evaluation module is as follows:
monitoring the remote monitoring center in real time through the monitoring camera, and judging that the remote monitoring center is in an unattended state if no background manager exists in the remote monitoring center;
starting timing to obtain unattended duration when the remote monitoring center is in an unattended state, summing all unattended duration in a monitoring period to obtain an unattended total time value, performing numerical comparison on the unattended duration and a preset unattended duration threshold, and marking the number of unattended durations exceeding the preset unattended duration threshold in the monitoring period as an unattended high risk value;
And marking the unattended duration with the largest value in the monitoring period as an unattended amplitude, and obtaining a monitoring management evaluation value by carrying out numerical calculation on the unattended total time value, the unattended high risk value and the unattended amplitude.
10. An electric power data monitoring method 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 claimed in any one of claims 1-9.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090321039A1 (en) * | 2008-06-25 | 2009-12-31 | Schroff Technologies International, Inc. | Telecom shelter cooling and control system |
| KR101232834B1 (en) * | 2012-07-24 | 2013-02-13 | 손규태 | Apparatus and method for monitoring the cooling fan of a semiconductor manufacturing equipment |
| US20190305589A1 (en) * | 2016-11-10 | 2019-10-03 | China Electric Power Research Institute Company Limited | Distribution network risk identification system and method and computer storage medium |
| CN113982982A (en) * | 2021-10-27 | 2022-01-28 | 贵阳航空电机有限公司 | Secondary power supply cooling fan rotating speed detection device |
| CN116939180A (en) * | 2023-09-18 | 2023-10-24 | 深圳市纬亚森科技有限公司 | Multimedia equipment state monitoring system based on Internet of things |
| CN117750738A (en) * | 2024-02-19 | 2024-03-22 | 山东博舜电源有限公司 | Safety alarm feedback control method for power supply device |
| CN117791869A (en) * | 2023-12-28 | 2024-03-29 | 湖北华中电力科技开发有限责任公司 | Data online monitoring method and system based on intelligent distribution cabinet |
| CN117785481A (en) * | 2024-02-23 | 2024-03-29 | 广州尚航信息科技股份有限公司 | Data center computing resource allocation management system |
| CN117952419A (en) * | 2024-01-16 | 2024-04-30 | 山东中网电力科技有限公司 | Intelligent assessment system for electrical cabinet operation risk based on big data analysis |
| CN118393267A (en) * | 2024-06-27 | 2024-07-26 | 沁水寺河瓦斯发电有限公司 | Operation detection control system applied to power equipment |
| CN118487380A (en) * | 2024-05-31 | 2024-08-13 | 太湖许芊新能源科技有限公司 | Intelligent control system and method for power distribution switch |
-
2024
- 2024-09-10 CN CN202411261697.8A patent/CN119010357B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090321039A1 (en) * | 2008-06-25 | 2009-12-31 | Schroff Technologies International, Inc. | Telecom shelter cooling and control system |
| KR101232834B1 (en) * | 2012-07-24 | 2013-02-13 | 손규태 | Apparatus and method for monitoring the cooling fan of a semiconductor manufacturing equipment |
| US20190305589A1 (en) * | 2016-11-10 | 2019-10-03 | China Electric Power Research Institute Company Limited | Distribution network risk identification system and method and computer storage medium |
| CN113982982A (en) * | 2021-10-27 | 2022-01-28 | 贵阳航空电机有限公司 | Secondary power supply cooling fan rotating speed detection device |
| CN116939180A (en) * | 2023-09-18 | 2023-10-24 | 深圳市纬亚森科技有限公司 | Multimedia equipment state monitoring system based on Internet of things |
| CN117791869A (en) * | 2023-12-28 | 2024-03-29 | 湖北华中电力科技开发有限责任公司 | Data online monitoring method and system based on intelligent distribution cabinet |
| CN117952419A (en) * | 2024-01-16 | 2024-04-30 | 山东中网电力科技有限公司 | Intelligent assessment system for electrical cabinet operation risk based on big data analysis |
| CN117750738A (en) * | 2024-02-19 | 2024-03-22 | 山东博舜电源有限公司 | Safety alarm feedback control method for power supply device |
| CN117785481A (en) * | 2024-02-23 | 2024-03-29 | 广州尚航信息科技股份有限公司 | Data center computing resource allocation management system |
| CN118487380A (en) * | 2024-05-31 | 2024-08-13 | 太湖许芊新能源科技有限公司 | Intelligent control system and method for power distribution switch |
| CN118393267A (en) * | 2024-06-27 | 2024-07-26 | 沁水寺河瓦斯发电有限公司 | Operation detection control system applied to power equipment |
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