CN117353436B - Solar power supply system based on internet of things monitoring - Google Patents
Solar power supply system based on internet of things monitoring Download PDFInfo
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- CN117353436B CN117353436B CN202311285568.8A CN202311285568A CN117353436B CN 117353436 B CN117353436 B CN 117353436B CN 202311285568 A CN202311285568 A CN 202311285568A CN 117353436 B CN117353436 B CN 117353436B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 9
- 238000004146 energy storage Methods 0.000 claims abstract description 122
- 238000011156 evaluation Methods 0.000 claims abstract description 97
- 230000005540 biological transmission Effects 0.000 claims abstract description 66
- 230000002159 abnormal effect Effects 0.000 claims abstract description 50
- 238000012423 maintenance Methods 0.000 claims abstract description 42
- 238000010586 diagram Methods 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 15
- 238000010606 normalization Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 13
- 230000001154 acute effect Effects 0.000 claims description 6
- 238000009472 formulation Methods 0.000 claims description 5
- 239000000203 mixture Substances 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000005336 cracking Methods 0.000 claims description 3
- 239000000428 dust Substances 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 10
- 230000009286 beneficial effect Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000000750 progressive effect Effects 0.000 description 2
- 208000032953 Device battery issue Diseases 0.000 description 1
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- 230000007547 defect Effects 0.000 description 1
- 239000002803 fossil fuel Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
Classifications
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
Abstract
The invention relates to the technical field of solar power supply, in particular to a solar power supply system based on internet of things monitoring, which comprises a supervision platform, a data acquisition unit, an operation power supply unit, a line supervision unit, a damage supervision unit, an operation and maintenance management unit and a power supply state unit; according to the invention, the power supply data of the solar energy storage battery is collected, and safe power supply supervision, evaluation and analysis are carried out, so that the solar power supply efficiency and the power supply safety are ensured, the power transmission feedback evaluation operation is carried out on the transmission data of the solar energy storage battery in an information feedback mode, so that the safety of a power supply circuit of the solar energy storage battery is ensured, the abnormal loss of the circuit is reduced, the power supply utilization rate of the solar energy storage battery is improved, the power supply state is comprehensively evaluated and analyzed through the two angles of the solar energy storage battery main body and the circuit, the power supply supervision effect of the solar energy storage battery is improved, and the power supply supervision effect of the solar energy storage battery is improved.
Description
Technical Field
The invention relates to the technical field of solar power supply, in particular to a solar power supply system based on monitoring of the Internet of things.
Background
Under the condition that fossil fuels are gradually reduced, solar energy is an important component of energy used by human beings, and is developed continuously, and solar energy is utilized in two modes of photo-thermal conversion and photoelectric conversion, solar power generation is an emerging renewable energy source, and the solar energy is used as an energy source which is rich in resources and clean, and has been promoted widely in all countries of the world;
The energy storage battery in the solar power supply system is a key component for storing the electric energy generated by the solar photovoltaic module and releasing power supply when required, however, in the process of supplying power to the solar energy storage battery in the prior art, the problem of low power supply supervision efficiency exists, the collected data in the traditional supervision process is too single, so that the analysis result error is caused, the accurate and reasonable management of the power supply of the solar energy storage battery is not facilitated, the power supply safety of the solar energy storage battery is further reduced, and the service life of the solar energy storage battery is also reduced;
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a solar power supply system based on the monitoring of the Internet of things, so as to solve the technical defects, the invention collects the power supply data of a solar energy storage battery, carries out safe power supply supervision and evaluation analysis to judge whether the power supply abnormality risk of the solar energy storage battery is too high or not, so as to timely maintain the solar energy storage battery, ensure the solar power supply efficiency and the power supply safety, carry out power transmission feedback evaluation operation on the transmission data of the solar energy storage battery in an information feedback mode, judge whether a power supply line is normal, ensure the safety of the power supply line of the solar energy storage battery and reduce the abnormal loss of the line, and is beneficial to improving the power supply utilization rate of the solar energy storage battery, further comprehensively evaluate the power supply state of the solar energy storage battery in a progressive and data integration mode, so as to improve the power supply effect of the solar energy storage battery, and reasonably manage the power supply of the solar energy storage battery, and carry out evaluation and analysis on the power supply state comprehensively in two angles of the solar energy storage battery body and the line, so as to help to improve the accuracy of the analysis result and improve the supervision effect of the solar energy storage battery.
The aim of the invention can be achieved by the following technical scheme: a solar power supply system based on the monitoring of the Internet of things comprises a supervision platform, a data acquisition unit, an operation power supply unit, a line supervision unit, a damage supervision unit, an operation and maintenance management unit and a power supply state unit;
When the supervision platform generates a management instruction, the management instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires power supply data of the solar energy storage battery after receiving the management instruction, the power supply data comprise a power supply fluctuation value and a power supply temperature span value, the power supply data are sent to the operation power supply unit, the operation power supply unit carries out safe power supply supervision evaluation analysis on the power supply data after receiving the power supply data, the obtained normal signal is sent to the line supervision unit, and the obtained risk signal is sent to the damage supervision unit and the operation and maintenance management unit;
The damage supervision unit immediately collects damage data of the solar energy storage battery after receiving the risk signal, wherein the damage data comprises an environment interference value and a management risk value, performs fault supervision, evaluation and analysis on the damage data, and sends the obtained primary management signal, secondary management signal and tertiary management signal to the operation and maintenance management unit;
The line supervision unit immediately acquires transmission data of a solar energy storage battery power supply line after receiving a normal signal, wherein the transmission data comprises an average reactive power value and a surface damage value, performs power transmission feedback evaluation operation on the transmission data, sends the obtained risk multiple value and the transmission risk value to the power supply state unit, and sends the obtained alarm signal to the operation and maintenance management unit;
the power supply state unit immediately carries out in-depth formulation evaluation analysis on the risk power value and the transmission risk value after receiving the risk power value and the transmission risk value, sends the obtained management and control signal to the operation and maintenance management unit, sends the obtained light signal and heavy signal to the operation and maintenance management unit, and immediately carries out preset early warning operation corresponding to the management and control signal and the light signal or the light signal and heavy signal after simultaneously receiving the management and control signal and the light signal or the light signal and heavy signal.
Preferably, the safety power supply supervision and evaluation analysis process of the operation power supply unit is as follows:
T1: collecting the duration of a period of time when the solar energy storage battery starts to supply power, marking the time threshold as a time threshold, dividing the time threshold into o sub-time periods, wherein o is a natural number larger than zero, obtaining power supply fluctuation values of the solar energy storage battery in each sub-time period, wherein the power supply fluctuation values represent the total times corresponding to the fluctuation amplitude exceeding a preset fluctuation amplitude threshold of the solar energy storage battery in the sub-time periods, comparing the power supply fluctuation values with a stored preset power supply fluctuation value threshold, marking the sub-time period corresponding to the power supply fluctuation value being larger than the preset power supply fluctuation value threshold as an abnormal time period if the power supply fluctuation value is larger than the preset power supply fluctuation value threshold, obtaining voltage waveform diagrams of the solar energy storage battery in each abnormal time period, comparing the voltage waveform diagrams with the stored preset voltage waveform diagrams, further marking the difference between the voltage waveform diagrams and the preset voltage waveform diagrams as fluctuation difference values, and comparing the fluctuation difference values with the preset fluctuation value threshold, and marking the total number of the fluctuation difference values being larger than the preset fluctuation difference value threshold value corresponding to the abnormal time period if the fluctuation difference value is larger than the preset fluctuation value threshold;
t12: acquiring power supply temperature span values of the solar energy storage batteries in each sub-time period, wherein the power supply temperature span values represent the difference value between the maximum power supply temperature value and the minimum power supply temperature value of the solar energy storage batteries in the sub-time period, comparing the power supply temperature span values with stored preset power supply temperature span value thresholds for analysis, and marking the total number of sub-time periods corresponding to the power supply temperature span values being larger than the preset power supply temperature span value thresholds as temperature interference values if the power supply temperature span values are larger than the preset power supply temperature span value thresholds;
T13: comparing the abnormal risk value and the temperature interference value with a preset abnormal risk value threshold value and a preset temperature interference value threshold value which are recorded and stored in the abnormal risk value and the temperature interference value:
If the abnormal risk value is smaller than or equal to a preset abnormal risk value threshold value and the temperature interference value is smaller than or equal to a preset temperature interference value threshold value, generating a normal signal;
and if the abnormal risk value is greater than a preset abnormal risk value threshold or the temperature interference value is greater than a preset temperature interference value threshold, generating a risk signal.
Preferably, the fault supervision and evaluation analysis process of the damage supervision unit is as follows:
Acquiring a time length from the time when the operation and maintenance management unit receives the risk signal to the time when the power supply of the solar energy storage battery is stopped, marking the time length as a damaged operation time length, acquiring an environment interference value and a management risk value of the solar energy storage battery in the damaged operation time length, wherein the environment interference value represents a product value obtained by carrying out data normalization processing on an external environment temperature value and dust content of the solar energy storage battery, the management risk value represents a sum value obtained by carrying out data normalization processing on maintenance times and average maintenance interval time length of the solar energy storage battery, and simultaneously, calling an abnormal risk value and a temperature interference value corresponding to the risk signal from the operation power supply unit, and marking the environment interference value, the management risk value, the abnormal risk value and the temperature interference value as HG, GF, YF and WG;
According to the formula Obtaining damage evaluation coefficients, wherein a1, a2, a3 and a4 are preset scale factor coefficients of an environmental interference value, a management risk value, an abnormal risk value and a temperature interference value respectively, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset compensation factor coefficient, the value is 1.221, G is a damage evaluation coefficient, and the damage evaluation coefficient G is compared with a preset damage evaluation coefficient interval recorded and stored in the damage evaluation coefficient G:
If the damage evaluation coefficient G is larger than the maximum value in the preset damage evaluation coefficient interval, generating a first-level management signal; if the damage evaluation coefficient G belongs to a preset damage evaluation coefficient interval, generating a secondary management signal; and if the damage evaluation coefficient G is smaller than the minimum value in the preset damage evaluation coefficient interval, generating a three-level management signal.
Preferably, the power transmission feedback evaluation operation procedure of the line supervision unit is as follows:
S1: obtaining average reactive power values of a solar energy storage battery power supply circuit in each sub-time period, establishing a rectangular coordinate system by taking the number of the sub-time periods as an X axis and taking the average reactive power values as a Y axis, drawing an average reactive power value curve in a dot drawing mode, drawing a preset average reactive power value threshold curve in the coordinate system, further obtaining an acute angle formed by first intersecting the average reactive power value curve and the preset average reactive power value threshold curve from the coordinate system, marking the acute angle as a risk angle value, and marking a product value obtained by carrying out data normalization processing on a time length corresponding to a line segment of the average reactive power value curve above the preset average reactive power value threshold curve and the risk angle value as a risk factor value;
S12: obtaining a surface damage value of a solar energy storage battery power supply circuit within a time threshold, wherein the surface damage value represents a product value obtained by carrying out data normalization processing on the number of surface bulges of the circuit and the total cracking length, comparing the surface damage value with a stored preset surface damage value threshold, and marking a ratio between a part of the surface damage value larger than the preset surface damage value threshold and the surface damage value as a transmission risk value if the surface damage value is larger than the preset surface damage value threshold;
s13: comparing the risk multiplying power value with a preset risk multiplying power value threshold value and a preset transmission risk value threshold value which are recorded and stored in the risk multiplying power value and the transmission risk value, and analyzing the risk multiplying power value and the transmission risk value:
if the risk multiplier value is smaller than the preset risk multiplier value threshold and the transmission risk value is smaller than the preset transmission risk value threshold, no signal is generated;
And if the risk multiplying power value is greater than or equal to a preset risk multiplying power value threshold or the transmission risk value is greater than or equal to a preset transmission risk value threshold, generating an alarm signal.
Preferably, the in-depth formulated evaluation analysis process of the power supply state unit is as follows:
Acquiring a risk multiple value and a transmission risk value, simultaneously calling an abnormal risk value YF and a temperature interference value WG corresponding to a risk signal from an operation power supply unit, and respectively marking the risk multiple value and the transmission risk value as FB and CF;
According to the formula Obtaining a power supply state evaluation coefficient, wherein f1 and f2 are preset weight factor coefficients of a risk multiplier value and a transmission risk value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 2.266, YZ is the power supply state evaluation coefficient, and the power supply state evaluation coefficient YZ is compared with a preset power supply state evaluation coefficient threshold value recorded and stored by the power supply state evaluation coefficient:
if the power supply state evaluation coefficient YZ is smaller than a preset power supply state evaluation coefficient threshold value, no signal is generated; and if the power supply state evaluation coefficient YZ is greater than or equal to a preset power supply state evaluation coefficient threshold value, generating a control signal.
Preferably, when the power supply state unit generates the control signal:
Acquiring the early warning times of normal solar energy storage battery power supply, further acquiring the time length from the time when the operation and maintenance management unit receives the signal to the time when the operation and maintenance management unit finishes the preset operation, marking the time length as early warning time length, further acquiring the maximum value of the early warning time length in the early warning times, marking the time length from the time when the operation and maintenance management unit receives the control signal to the time when the operation and maintenance management unit finishes the preset operation as early warning risk value, marking the analysis time length and the early warning risk value as analysis time length, marking the part of the analysis time length larger than the early warning risk value as delay value if the analysis time length is larger than the early warning risk value, simultaneously acquiring the power supply state evaluation coefficient YZ corresponding to the control signal, marking the product value obtained by carrying out data normalization on the power supply state evaluation coefficient YZ and the delay value as delay early warning value, and comparing the delay value with a preset delay value threshold value stored in the delay value to analyze the delay value:
if the delay early-warning value is smaller than a preset delay early-warning value threshold, generating a mild signal;
and if the delay early-warning value is greater than or equal to a preset delay early-warning value threshold, generating a severe signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, through collecting power supply data of the solar energy storage battery and performing safe power supply supervision and analysis, whether the power supply abnormality risk of the solar energy storage battery is too high or not is judged, so that the solar energy storage battery is maintained in time, the solar power supply efficiency and the power supply safety are guaranteed, and the power transmission feedback assessment operation is performed on the transmission data of the solar energy storage battery in an information feedback mode, so that whether a power supply line is normal or not is judged, the safety of the power supply line of the solar energy storage battery is guaranteed, the abnormal loss of the line is reduced, the power supply utilization rate of the solar energy storage battery is improved, the power supply supervision effect of the solar energy storage battery is improved, the power supply of the solar energy storage battery is reasonably managed, the accuracy of an analysis result is improved, and the power supply supervision effect of the solar energy storage battery is improved.
(2) According to the invention, fault supervision, evaluation and analysis are carried out on the damaged data of the solar energy storage battery in an information feedback mode so as to know the damage condition of the solar energy storage battery, so that the solar energy storage battery can be reasonably and accurately managed according to different management grades, the fault rate of the solar energy storage battery is reduced, and the operation safety and the service life of the solar energy storage battery are improved.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is an analysis reference diagram according to an 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:
Referring to fig. 1 to 2, the invention discloses a solar power supply system based on internet of things monitoring, which comprises a supervision platform, a data acquisition unit, an operation power supply unit, a line supervision unit, a damage supervision unit, an operation and maintenance management unit and a power supply state unit, wherein the supervision platform is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the operation power supply unit, the operation power supply unit is in unidirectional communication connection with the line supervision unit, the damage supervision unit and the operation and maintenance management unit, the line supervision unit and the damage supervision unit are in unidirectional communication connection with the operation and maintenance management unit, the line supervision unit is in unidirectional communication connection with the power supply state unit, and the power supply state unit is in unidirectional communication connection with the operation and maintenance management unit;
When the supervision platform generates a management instruction, the management instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires power supply data of the solar energy storage battery after receiving the management instruction, the power supply data comprise a power supply fluctuation value and a power supply temperature span value, the power supply data are sent to the operation power supply unit, the operation power supply unit carries out safe power supply supervision evaluation analysis on the power supply data after receiving the power supply data so as to judge whether the abnormal risk of power supply of the solar energy storage battery is too high or not, so that the solar energy storage battery is maintained timely, the solar power supply efficiency and the power supply safety are guaranteed, and the specific safe power supply supervision evaluation analysis process is as follows:
Collecting the duration of a period of time when the solar energy storage battery starts to supply power, marking the duration as a time threshold, dividing the time threshold into o sub-time periods, wherein o is a natural number larger than zero, obtaining power supply fluctuation values of the solar energy storage battery in each sub-time period, wherein the power supply fluctuation values represent total times corresponding to fluctuation amplitudes of the solar energy storage battery exceeding a preset fluctuation amplitude threshold in the sub-time periods, comparing the power supply fluctuation values with stored preset power supply fluctuation value thresholds, if the power supply fluctuation values are larger than the preset power supply fluctuation value thresholds, marking the sub-time periods corresponding to the power supply fluctuation values being larger than the preset power supply fluctuation value thresholds as abnormal time periods, obtaining voltage waveform diagrams of the solar energy storage battery in each abnormal time period, comparing the voltage waveform diagrams with stored preset voltage waveform diagrams, further marking the difference between the voltage waveform diagrams and the preset voltage waveform diagrams as fluctuation difference values, comparing the fluctuation difference values with the preset fluctuation difference value thresholds, and if the fluctuation difference values are larger than the preset fluctuation value thresholds, comparing the fluctuation values with stored preset fluctuation value thresholds, and marking the total time corresponding to the fluctuation values as abnormal risk of the solar energy storage battery;
Acquiring power supply temperature span values of the solar energy storage batteries in each sub-time period, wherein the power supply temperature span values represent the difference value between the maximum power supply temperature value and the minimum power supply temperature value of the solar energy storage batteries in the sub-time period, comparing the power supply temperature span values with stored preset power supply temperature span value thresholds for analysis, and marking the total number of sub-time periods corresponding to the power supply temperature span values being larger than the preset power supply temperature span value thresholds as temperature interference values if the power supply temperature span values are larger than the preset power supply temperature span value thresholds, wherein the fact that the larger the numerical value of the temperature interference values is, the larger the power supply abnormality risk of the solar energy storage batteries is;
Comparing the abnormal risk value and the temperature interference value with a preset abnormal risk value threshold value and a preset temperature interference value threshold value which are recorded and stored in the abnormal risk value and the temperature interference value:
If the abnormal risk value is smaller than or equal to a preset abnormal risk value threshold value and the temperature interference value is smaller than or equal to a preset temperature interference value threshold value, generating a normal signal and sending the normal signal to a line supervision unit;
If the abnormal risk value is greater than a preset abnormal risk value threshold value or the temperature interference value is greater than a preset temperature interference value threshold value, generating a risk signal, and sending the risk signal to the damage supervision unit and the operation and maintenance management unit, wherein the operation and maintenance management unit immediately makes a preset early warning operation corresponding to the risk signal after receiving the risk signal so as to prompt a management staff to manage and maintain the solar energy storage battery in time, so that the solar power supply efficiency and the power supply safety are ensured;
The damage supervision unit immediately collects damage data of the solar energy storage battery after receiving the risk signal, the damage data comprise an environmental interference value and a management risk value, and fault supervision, evaluation and analysis are carried out on the damage data so as to know the damage condition of the solar energy storage battery, so that the solar energy storage battery can be managed reasonably and accurately, the fault rate of the solar energy storage battery is reduced, the operation safety and the service life of the solar energy storage battery are improved, and the specific fault supervision, evaluation and analysis process is as follows:
Acquiring a time length from the time when the operation and maintenance management unit receives the risk signal to the time when the power supply of the solar energy storage battery is stopped, marking the time length as a damaged operation time length, acquiring an environment interference value and a management risk value of the solar energy storage battery in the damaged operation time length, wherein the environment interference value represents a product value obtained by carrying out data normalization processing on an external environment temperature value and dust content of the solar energy storage battery, the management risk value represents a sum value obtained by carrying out data normalization processing on maintenance times and average maintenance interval time length of the solar energy storage battery, and simultaneously, calling an abnormal risk value and a temperature interference value corresponding to the risk signal from the operation power supply unit, and marking the environment interference value, the management risk value, the abnormal risk value and the temperature interference value as HG, GF, YF and WG;
According to the formula Obtaining damage evaluation coefficients, wherein a1, a2, a3 and a4 are preset scale factor coefficients of an environmental interference value, a management risk value, an abnormal risk value and a temperature interference value respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset compensation factor coefficient, a value is 1.221, G is a damage evaluation coefficient, and the damage evaluation coefficient G is compared with a preset damage evaluation coefficient interval recorded and stored in the damage evaluation coefficient G:
If the damage evaluation coefficient G is larger than the maximum value in the preset damage evaluation coefficient interval, generating a first-level management signal;
If the damage evaluation coefficient G belongs to a preset damage evaluation coefficient interval, generating a secondary management signal;
If the damage evaluation coefficient G is smaller than the minimum value in the preset damage evaluation coefficient interval, three-level management signals are generated, management degrees corresponding to the first-level management signals, the second-level management signals and the third-level management signals are sequentially reduced, the first-level management signals, the second-level management signals and the third-level management signals are sent to the operation and maintenance management unit, and after the operation and maintenance management unit receives the first-level management signals, the second-level management signals and the third-level management signals, preset early warning characters corresponding to the first-level management signals, the second-level management signals and the third-level management signals are immediately displayed, so that the solar energy storage battery is reasonably and accurately managed according to different management levels, the failure rate of the solar energy storage battery is reduced, and the operation safety and the service life of the solar energy storage battery are improved.
Embodiment two:
the line monitoring unit immediately collects transmission data of the solar energy storage battery power supply line after receiving the normal signal, the transmission data comprises an average reactive power value and a surface damage value, and performs power transmission feedback evaluation operation on the transmission data to judge whether the power supply line is normal or not, so that the safety of the solar energy storage battery power supply line is ensured, the abnormal line loss is reduced, the power supply utilization rate of the solar energy storage battery is improved, and the specific power transmission feedback evaluation operation process is as follows:
Obtaining average reactive power values of a solar energy storage battery power supply circuit in each sub-time period, establishing a rectangular coordinate system by taking the number of the sub-time periods as an X axis and taking the average reactive power values as a Y axis, drawing an average reactive power value curve in a dot drawing mode, drawing a preset average reactive power value threshold curve in the coordinate system, further obtaining an acute angle formed by first intersecting the average reactive power value curve and the preset average reactive power value threshold curve from the coordinate system, marking the acute angle as a risk angle value, and marking a product value obtained by carrying out data normalization processing on a time length corresponding to a line segment of the average reactive power value curve above the preset average reactive power value threshold curve and the risk angle value as a risk factor value;
Acquiring a surface damage value of a solar energy storage battery power supply circuit within a time threshold, wherein the surface damage value represents a product value obtained by carrying out data normalization processing on the number of surface bulges of the circuit and the total cracking length, comparing the surface damage value with a stored preset surface damage value threshold, and if the ratio between the part of the surface damage value larger than the preset surface damage value threshold and the surface damage value is marked as a transmission risk value, it is required to explain that the larger the value of the transmission risk value is, the larger the abnormal risk of the solar energy storage battery power supply circuit is;
the risk multiplying power value and the transmission risk value are sent to a power supply state unit, and the risk multiplying power value and the transmission risk value are compared with a preset risk multiplying power value threshold value and a preset transmission risk value threshold value which are recorded and stored in the risk multiplying power value and the transmission risk value:
if the risk multiplier value is smaller than the preset risk multiplier value threshold and the transmission risk value is smaller than the preset transmission risk value threshold, no signal is generated;
If the risk multiplying power value is greater than or equal to a preset risk multiplying power value threshold, or the transmission risk value is greater than or equal to a preset transmission risk value threshold, generating an alarm signal and sending the alarm signal to an operation and maintenance management unit, wherein the operation and maintenance management unit immediately makes a preset early warning operation corresponding to the alarm signal after receiving the alarm signal so as to prompt an operation and maintenance person to manage and maintain a solar energy storage battery power supply line in time, so that the safety of the solar energy storage battery power supply line is ensured, the abnormal loss of the line is reduced, and the improvement of the power supply utilization rate of the solar energy storage battery is facilitated;
The power supply state unit immediately carries out in-depth formulation evaluation analysis on the risk power value and the transmission risk value after receiving the risk power value and the transmission risk value so as to comprehensively evaluate the power supply state of the positive energy storage battery by combining the acquired data, thereby improving the power supply supervision effect of the positive energy storage battery, being beneficial to reasonably managing the power supply of the positive energy storage battery, and the specific in-depth formulation evaluation analysis process is as follows:
Acquiring a risk multiple value and a transmission risk value, simultaneously calling an abnormal risk value YF and a temperature interference value WG corresponding to a risk signal from an operation power supply unit, and respectively marking the risk multiple value and the transmission risk value as FB and CF;
According to the formula Obtaining a power supply state evaluation coefficient, wherein f1 and f2 are preset weight factor coefficients of a risk multiplier value and a transmission risk value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 2.266, YZ is the power supply state evaluation coefficient, and the power supply state evaluation coefficient YZ is compared with a preset power supply state evaluation coefficient threshold value recorded and stored by the power supply state evaluation coefficient:
if the power supply state evaluation coefficient YZ is smaller than a preset power supply state evaluation coefficient threshold value, no signal is generated;
If the power supply state evaluation coefficient YZ is greater than or equal to a preset power supply state evaluation coefficient threshold value, a control signal is generated, when the control signal is generated, the control signal is sent to the operation and maintenance management unit, meanwhile, the early warning times of power supply of a normal solar energy storage battery are obtained, the time length from the moment of receiving the signal to the moment of finishing preset operation is obtained, the time length is marked as early warning time length, the maximum value of the early warning time length in the early warning times is obtained, the time length from the moment of receiving the control signal to the moment of finishing preset operation is marked as early warning risk value, the time length of analyzing is marked as analysis time length, the analysis time length and the early warning risk value are analyzed, if the analysis time length is greater than the early warning risk value, the part which is greater than the early warning risk value in the analysis is marked as delay value, the power supply state evaluation coefficient YZ corresponding to the control signal is obtained, the product value obtained after the power supply state evaluation coefficient YZ and the delay value are subjected to data normalization processing is marked as delay early warning value, and the delay value is compared with the preset early warning value stored in the preset early warning value:
if the delay early-warning value is smaller than a preset delay early-warning value threshold, generating a mild signal;
if the delay early-warning value is greater than or equal to a preset delay early-warning value threshold, a severe signal is generated, and a mild signal and a severe signal are sent to an operation and maintenance management unit, after the operation and maintenance management unit receives a management and control signal and the mild signal or the mild signal and the severe signal at the same time, the operation and maintenance management unit immediately performs preset early-warning operation corresponding to the management and control signal and the mild signal or the mild signal and the severe signal so as to prompt a management and maintenance person to reasonably manage the power supply of the solar energy storage battery in time, and the power supply state is comprehensively evaluated and analyzed through two angles of a solar energy storage battery main body and a circuit, so that the accuracy of an analysis result is improved, and meanwhile, the power supply supervision effect of the solar energy storage battery is improved;
In summary, the invention collects the power supply data of the solar energy storage battery and performs safe power supply supervision and analysis to determine whether the power supply abnormality risk of the solar energy storage battery is too high, so as to timely maintain the solar energy storage battery, so as to ensure the solar power supply efficiency and the power supply safety, and perform power transmission feedback evaluation operation on the transmission data of the solar energy storage battery in an information feedback manner, so as to determine whether the power supply line is normal, so as to ensure the safety of the power supply line of the solar energy storage battery and reduce the abnormal loss of the line, thereby being beneficial to improving the power supply utilization rate of the solar energy storage battery, further comprehensively evaluating the power supply state of the solar energy storage battery in a progressive and data integration manner, improving the power supply supervision effect of the solar energy storage battery, and simultaneously being beneficial to reasonably managing the power supply state of the solar energy storage battery, and being beneficial to improving the accuracy of the analysis result, and simultaneously being beneficial to improving the power supply supervision effect of the solar energy storage battery in an information feedback manner, and being beneficial to accurately managing the fault management condition of the solar energy storage battery according to the fault management condition of the solar energy storage battery, and improving the energy storage battery failure management.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (1)
1. The solar power supply system based on the internet of things monitoring is characterized by comprising a supervision platform, a data acquisition unit, an operation power supply unit, a line supervision unit, a damage supervision unit, an operation and maintenance management unit and a power supply state unit;
When the supervision platform generates a management instruction, the management instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires power supply data of the solar energy storage battery after receiving the management instruction, the power supply data comprise a power supply fluctuation value and a power supply temperature span value, the power supply data are sent to the operation power supply unit, the operation power supply unit carries out safe power supply supervision evaluation analysis on the power supply data after receiving the power supply data, the obtained normal signal is sent to the line supervision unit, and the obtained risk signal is sent to the damage supervision unit and the operation and maintenance management unit;
The damage supervision unit immediately collects damage data of the solar energy storage battery after receiving the risk signal, wherein the damage data comprises an environment interference value and a management risk value, performs fault supervision, evaluation and analysis on the damage data, and sends the obtained primary management signal, secondary management signal and tertiary management signal to the operation and maintenance management unit;
The line supervision unit immediately acquires transmission data of a solar energy storage battery power supply line after receiving a normal signal, wherein the transmission data comprises an average reactive power value and a surface damage value, performs power transmission feedback evaluation operation on the transmission data, sends the obtained risk multiple value and the transmission risk value to the power supply state unit, and sends the obtained alarm signal to the operation and maintenance management unit;
The power supply state unit immediately carries out in-depth formulation evaluation analysis on the risk power value and the transmission risk value after receiving the risk power value and the transmission risk value, sends the obtained management and control signal to the operation and maintenance management unit, sends the obtained light signal and heavy signal to the operation and maintenance management unit, and immediately carries out preset early warning operation corresponding to the management and control signal and the light signal or the light signal and heavy signal after simultaneously receiving the management and control signal and the light signal or the light signal and heavy signal;
The safety power supply supervision, evaluation and analysis process of the operation power supply unit is as follows:
T1: collecting the duration of a period of time when the solar energy storage battery starts to supply power, marking the time threshold as a time threshold, dividing the time threshold into o sub-time periods, wherein o is a natural number larger than zero, obtaining power supply fluctuation values of the solar energy storage battery in each sub-time period, wherein the power supply fluctuation values represent the total times corresponding to the fluctuation amplitude exceeding a preset fluctuation amplitude threshold of the solar energy storage battery in the sub-time periods, comparing the power supply fluctuation values with a stored preset power supply fluctuation value threshold, marking the sub-time period corresponding to the power supply fluctuation value being larger than the preset power supply fluctuation value threshold as an abnormal time period if the power supply fluctuation value is larger than the preset power supply fluctuation value threshold, obtaining voltage waveform diagrams of the solar energy storage battery in each abnormal time period, comparing the voltage waveform diagrams with the stored preset voltage waveform diagrams, further marking the difference between the voltage waveform diagrams and the preset voltage waveform diagrams as fluctuation difference values, and comparing the fluctuation difference values with the preset fluctuation value threshold, and marking the total number of the fluctuation difference values being larger than the preset fluctuation difference value threshold value corresponding to the abnormal time period if the fluctuation difference value is larger than the preset fluctuation value threshold;
t12: acquiring power supply temperature span values of the solar energy storage batteries in each sub-time period, wherein the power supply temperature span values represent the difference value between the maximum power supply temperature value and the minimum power supply temperature value of the solar energy storage batteries in the sub-time period, comparing the power supply temperature span values with stored preset power supply temperature span value thresholds for analysis, and marking the total number of sub-time periods corresponding to the power supply temperature span values being larger than the preset power supply temperature span value thresholds as temperature interference values if the power supply temperature span values are larger than the preset power supply temperature span value thresholds;
T13: comparing the abnormal risk value and the temperature interference value with a preset abnormal risk value threshold value and a preset temperature interference value threshold value which are recorded and stored in the abnormal risk value and the temperature interference value:
If the abnormal risk value is smaller than or equal to a preset abnormal risk value threshold value and the temperature interference value is smaller than or equal to a preset temperature interference value threshold value, generating a normal signal;
If the abnormal risk value is greater than a preset abnormal risk value threshold or the temperature interference value is greater than a preset temperature interference value threshold, generating a risk signal;
The fault supervision, evaluation and analysis process of the damage supervision unit is as follows:
Acquiring a time length from the time when the operation and maintenance management unit receives the risk signal to the time when the power supply of the solar energy storage battery is stopped, marking the time length as a damaged operation time length, acquiring an environment interference value and a management risk value of the solar energy storage battery in the damaged operation time length, wherein the environment interference value represents a product value obtained by carrying out data normalization processing on an external environment temperature value and dust content of the solar energy storage battery, the management risk value represents a sum value obtained by carrying out data normalization processing on maintenance times and average maintenance interval time length of the solar energy storage battery, and simultaneously, calling an abnormal risk value and a temperature interference value corresponding to the risk signal from the operation power supply unit, and marking the environment interference value, the management risk value, the abnormal risk value and the temperature interference value as HG, GF, YF and WG;
According to the formula Obtaining damage evaluation coefficients, wherein a1, a2, a3 and a4 are preset scale factor coefficients of an environmental interference value, a management risk value, an abnormal risk value and a temperature interference value respectively, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset compensation factor coefficient, the value is 1.221, G is a damage evaluation coefficient, and the damage evaluation coefficient G is compared with a preset damage evaluation coefficient interval recorded and stored in the damage evaluation coefficient G:
if the damage evaluation coefficient G is larger than the maximum value in the preset damage evaluation coefficient interval, generating a first-level management signal; if the damage evaluation coefficient G belongs to a preset damage evaluation coefficient interval, generating a secondary management signal; if the damage evaluation coefficient G is smaller than the minimum value in the preset damage evaluation coefficient interval, generating a three-level management signal;
The power transmission feedback evaluation operation process of the line supervision unit is as follows:
S1: obtaining average reactive power values of a solar energy storage battery power supply circuit in each sub-time period, establishing a rectangular coordinate system by taking the number of the sub-time periods as an X axis and taking the average reactive power values as a Y axis, drawing an average reactive power value curve in a dot drawing mode, drawing a preset average reactive power value threshold curve in the coordinate system, further obtaining an acute angle formed by first intersecting the average reactive power value curve and the preset average reactive power value threshold curve from the coordinate system, marking the acute angle as a risk angle value, and marking a product value obtained by carrying out data normalization processing on a time length corresponding to a line segment of the average reactive power value curve above the preset average reactive power value threshold curve and the risk angle value as a risk factor value;
S12: obtaining a surface damage value of a solar energy storage battery power supply circuit within a time threshold, wherein the surface damage value represents a product value obtained by carrying out data normalization processing on the number of surface bulges of the circuit and the total cracking length, comparing the surface damage value with a stored preset surface damage value threshold, and marking a ratio between a part of the surface damage value larger than the preset surface damage value threshold and the surface damage value as a transmission risk value if the surface damage value is larger than the preset surface damage value threshold;
s13: comparing the risk multiplying power value with a preset risk multiplying power value threshold value and a preset transmission risk value threshold value which are recorded and stored in the risk multiplying power value and the transmission risk value, and analyzing the risk multiplying power value and the transmission risk value:
if the risk multiplier value is smaller than the preset risk multiplier value threshold and the transmission risk value is smaller than the preset transmission risk value threshold, no signal is generated;
If the risk multiplying power value is greater than or equal to a preset risk multiplying power value threshold or the transmission risk value is greater than or equal to a preset transmission risk value threshold, generating an alarm signal;
the in-depth formulation evaluation analysis process of the power supply state unit is as follows:
Acquiring a risk multiple value and a transmission risk value, simultaneously calling an abnormal risk value YF and a temperature interference value WG corresponding to a risk signal from an operation power supply unit, and respectively marking the risk multiple value and the transmission risk value as FB and CF;
According to the formula Obtaining a power supply state evaluation coefficient, wherein f1 and f2 are preset weight factor coefficients of a risk multiplier value and a transmission risk value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 2.266, YZ is the power supply state evaluation coefficient, and the power supply state evaluation coefficient YZ is compared with a preset power supply state evaluation coefficient threshold value recorded and stored by the power supply state evaluation coefficient:
if the power supply state evaluation coefficient YZ is smaller than a preset power supply state evaluation coefficient threshold value, no signal is generated; if the power supply state evaluation coefficient YZ is greater than or equal to a preset power supply state evaluation coefficient threshold value, generating a control signal;
when the power supply state unit generates a control signal:
Acquiring the early warning times of normal solar energy storage battery power supply, further acquiring the time length from the moment of receiving the risk signal to the moment of completing the preset operation, marking the time length as early warning time length, further acquiring the maximum value of the early warning time length in the early warning times, marking the time length from the moment of receiving the management control signal to the moment of completing the preset operation as early warning risk value, simultaneously acquiring the time length from the moment of receiving the management control signal to the moment of completing the preset operation, marking the analysis time length as analysis time length, analyzing the analysis time length as early warning risk value, marking the part of the analysis time length larger than the early warning risk value as delay value if the analysis time length is larger than the early warning risk value, simultaneously acquiring a power supply state evaluation coefficient YZ corresponding to the management control signal, marking the product value obtained by carrying out data normalization on the power supply state evaluation coefficient YZ and the delay value as delay early warning value, and comparing the delay value with a preset delay value threshold value stored in the delay value:
if the delay early-warning value is smaller than a preset delay early-warning value threshold, generating a mild signal;
and if the delay early-warning value is greater than or equal to a preset delay early-warning value threshold, generating a severe signal.
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