CN113517857B - Photovoltaic solar power station operation and maintenance monitoring system based on Internet of things control technology - Google Patents
Photovoltaic solar power station operation and maintenance monitoring system based on Internet of things control technology Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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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
- H02J13/00022—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 using wireless data transmission
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- 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
- H02J13/00022—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 using wireless data transmission
- H02J13/00026—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 using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The invention relates to the technical field of photovoltaic power generation operation and maintenance monitoring, in particular to a photovoltaic solar power station operation and maintenance monitoring system based on an internet of things control technology, which comprises a sensor module, a wireless ad hoc network communication module, a core control module, a local upper computer module and a cloud platform, wherein the sensor module is connected with the wireless ad hoc network communication module through a wireless communication network; the wireless ad hoc network communication module wirelessly and automatically forms a network by the N sensor modules; the core control module transmits the operation and maintenance data to the cloud platform and the local upper computer module and executes a control command issued by the cloud platform; the local upper computer module displays operation and maintenance data, and generates a control command according to the operation and maintenance data and by referring to a command table corresponding to the function codes of the host computer and the slave computer; and the cloud platform stores and analyzes the operation and maintenance data, and performs fault analysis according to the operation and maintenance data to generate fault early warning information. The method has the advantages of wide communication range and capability of generating fault early warning information in time according to the operation and maintenance data of the photovoltaic solar power station.
Description
Technical Field
The invention relates to the technical field of photovoltaic power generation operation and maintenance monitoring, in particular to a photovoltaic solar power station operation and maintenance monitoring system based on an internet of things control technology.
Background
In recent years, the photovoltaic solar industry has developed rapidly, and the purpose of solar power generation is achieved mainly by converting solar energy into heat energy, heating a heat transfer medium to generate high-temperature and high-pressure steam, and combining a process of a steam turbine generator. The photovoltaic solar power generation project has the advantages of clean energy, renewability and the like, so the photovoltaic solar power generation project is supported by the government and accepted by the people, and some problems in the field of photovoltaic solar monitoring are also exposed. Firstly, monitoring points in a photovoltaic solar power station are widely issued, but some existing wireless transmission type monitoring devices adopt WiFi or 4G modules, are small in communication range, depend on the health of a base station and advance deployment of a network, only can achieve point-to-point communication, and have certain defects; in addition, the fault early warning information cannot be generated in time according to the operation and maintenance data of the photovoltaic solar power station.
Disclosure of Invention
The invention provides an operation and maintenance monitoring system of a photovoltaic solar power station based on an Internet of things control technology, which has the advantages of wide communication range and capability of generating fault early warning information in time according to operation and maintenance data of the photovoltaic solar power station.
The basic scheme provided by the invention is as follows:
a photovoltaic solar power station operation and maintenance monitoring system based on an Internet of things control technology comprises a sensor module, a wireless ad hoc network communication module, a core control module, a local upper computer module and a cloud platform;
the sensor module: the system comprises a core control module, a wireless ad hoc network communication module, a photovoltaic solar power station and a photovoltaic solar power station, wherein the core control module is used for acquiring operation and maintenance data of the photovoltaic solar power station, and the operation and maintenance data are transmitted to the core control module through the wireless ad hoc network communication module;
the wireless ad hoc network communication module: the system comprises a network, a plurality of sensor modules and a plurality of communication modules, wherein the network is used for wirelessly and automatically forming a network by the N sensor modules;
the core control module: the operation and maintenance data are transmitted to the cloud platform and the local upper computer module, and the control command issued by the cloud platform is executed;
the local upper computer module: the system is used for displaying operation and maintenance data, generating a control command according to the operation and maintenance data and a command table corresponding to the function codes of the host and the slave machines, and sending the control command to the core control module;
the cloud platform: the fault early warning system is used for storing and analyzing the operation and maintenance data, analyzing faults according to the operation and maintenance data and generating fault early warning information; the cloud platform comprises a storage module and a fault analysis module;
the storage module: the operation and maintenance data are stored and analyzed;
the fault analysis module: the fault early warning system is used for analyzing faults according to the operation and maintenance data and generating fault early warning information; the fault analysis module comprises an evaluation set factor set determination module, a weight determination module, a fuzzy evaluation matrix determination module, an evaluation grade output module and a fault early warning module;
the evaluation set factor set determination module: the method comprises the steps of determining an evaluation set factor set, wherein the evaluation set factor set comprises an evaluation set and corresponding evaluation factors, and the evaluation set comprises meteorological environment abnormity early warning and panel heating early warning;
the weight determination module: the weight used for confirming each evaluation factor;
the fuzzy evaluation matrix determining module: for determining the fuzzy evaluation matrix: calculating the input value of a membership function, calculating the standard value of a fault area corresponding to each evaluation factor and calculating a fuzzy evaluation normalization matrix;
the evaluation level output module: the fuzzy evaluation method comprises the steps of setting a fault threshold value, and outputting a fuzzy evaluation grade through a fuzzy weighted average type fuzzy operator;
the fault early warning module: for generating fault pre-warning information.
The principle and the advantages of the invention are as follows: the operation and maintenance data of the photovoltaic solar power station are detected by the sensor modules and transmitted to the core control module through the wireless ad hoc network communication module, and the wireless ad hoc network wirelessly and automatically forms a network by the N sensor modules, so that the photovoltaic solar power station has the advantage of wide communication range; the local upper computer module generates a control command according to the operation and maintenance data and by referring to a command table corresponding to the function codes of the host and the slave computers, and transmits the control command to the core control module; and the cloud platform carries out fault analysis according to the operation and maintenance data, and comprises the steps of determining an evaluation set and corresponding evaluation factors, the weight of each evaluation factor and a fuzzy evaluation matrix, outputting a fuzzy evaluation grade and then generating fault early warning information.
Further, the sensor module comprises a temperature sensor, a temperature and humidity sensor, a light intensity sensor, a current sensor and a voltage sensor;
the temperature and humidity sensor is characterized in that: the temperature and humidity monitoring system is used for monitoring the environmental temperature and humidity of the solar cell array;
the illuminance sensor: the system is used for monitoring the ambient light illumination of the solar cell array;
the temperature sensor is characterized in that: the system is used for monitoring the plate temperature of the solar cell plate;
the current sensor is: the monitoring device is used for monitoring the working current of the photovoltaic solar panel;
the voltage sensor is: the monitoring device is used for monitoring the working voltage of the photovoltaic solar panel;
evaluation factors corresponding to the meteorological environment abnormity early warning comprise environment temperature and humidity and environment illuminance;
evaluation factors corresponding to the battery panel heating early warning include panel temperature, working current and working voltage.
Has the beneficial effects that: the operation and maintenance data of the photovoltaic solar power station in multiple aspects are obtained, and a control command is generated and fault analysis is performed conveniently according to the operation and maintenance data of the photovoltaic solar power station.
Further, the wireless ad hoc network communication module comprises a Lora module.
Has the beneficial effects that: the Lora module is long in communication distance and low in power consumption.
Further, the core control module includes an ArduinoMEGA control module.
Has the advantages that: the ArduinoMEGA control module is simple to operate and can be used by connecting a USB with a computer or using an AC/DC transformer.
Further, the communication mode of the local upper computer module and the core control module comprises a self-setting protocol.
Has the advantages that: the self-provisioning protocol may customize the requirements.
Further, the operation and maintenance data are displayed by the local upper computer module in a mode of one or more of a data curve, a pie chart and a histogram.
Has the beneficial effects that: and presenting the operation and maintenance data in various ways.
Further, the cloud platform and the core control module communicate through one or more of 4G, 5G, wiFi, bluetooth and GPRS.
Has the beneficial effects that: multiple networking modes are adopted, and the universality is higher.
Further, the cloud platform comprises one or more of a TLINK Internet of things platform, a OneNet Internet of things platform and a smart cloud Internet of things platform.
Has the advantages that: a plurality of cloud platforms are adopted for data storage and analysis, and the data security is improved.
Drawings
Fig. 1 is a logic block diagram of a photovoltaic solar power station operation and maintenance monitoring system based on an internet of things control technology in an embodiment of the invention.
Fig. 2 is a schematic diagram of a master-slave bidirectional transmission mode protocol of a photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology in an embodiment of the present invention.
Fig. 3 is a command table corresponding to function codes of a host and a slave of a photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology in the embodiment of the invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example 1 is substantially as shown in figure 1:
a photovoltaic solar power station operation and maintenance monitoring system based on an Internet of things control technology comprises a sensor module, a wireless ad hoc network communication module, a core control module, a local upper computer module and a cloud platform; the sensor module is used for gathering photovoltaic solar power station's fortune dimension data, the sensor module includes temperature sensor, temperature and humidity sensor, illuminance sensor, current sensor and voltage sensor, fortune dimension data includes environment humiture, environment illuminance, solar cell panel's board temperature, operating current and operating voltage, has laid a N sensor module in the photovoltaic solar power station, can monitor the fortune dimension data of large tracts of land, and N is 5 in this embodiment.
The temperature and humidity sensor is used for monitoring the environment temperature and humidity of the solar cell array; the illuminance sensor is used for monitoring the ambient illuminance of the solar cell array; the temperature sensor is used for monitoring the plate temperature of the solar cell panel; the current sensor is used for monitoring the working current of the photovoltaic solar panel; the voltage sensor is used for monitoring the working voltage of the photovoltaic solar panel.
And the operation and maintenance data are transmitted to the core control module through the wireless ad hoc network communication module. The wireless ad hoc network communication module wirelessly and automatically forms a network by the five sensor modules, after the wireless ad hoc network is formed, a sink terminal node is arranged in each local area network, and the operation and maintenance data collected by all the sensor modules are sent to the sink terminal node and then sent to the core control module by the sink terminal node. In this embodiment, the wireless ad hoc network communication module is a Lora module, and in other embodiments of the present application, the wireless ad hoc network communication module may also be a Zigbee module.
After receiving the operation and maintenance data, the core control module transmits the operation and maintenance data to the cloud platform and the local upper computer module, wherein in the embodiment, the local upper computer module is communicated with the core control module by adopting a self-set protocol, and in other embodiments of the application, TCP can also be used for communication; in this embodiment, the cloud platform and the core control module communicate through 4G, and in other embodiments of the present application, the cloud platform and the core control module may also communicate through bluetooth. In this embodiment, the core control module is an ArduinoMEGA control module, and in other embodiments of the present application, the core control module may also be a controller of a model STM32F101C8T 6.
The upper computer module is used for displaying operation and maintenance data, in the embodiment, a pie chart is used for displaying the data, and in other embodiments of the application, a histogram can also be used. The local upper computer module is used as upper computer software through a C #, and the local upper computer module and the core control module automatically set a bidirectional transmission protocol by using a master-slave mode of an industrial Modbus protocol for one question and one answer as a standard, so that local bidirectional control is realized. The master-slave bi-directional transfer mode protocol is shown in figure 2.
As shown in fig. 3, the local upper computer module is further configured to generate a control command according to the operation and maintenance data and by referring to the command table corresponding to the function code of the host and the slave, and issue the control command to the core control module. Specifically, the corresponding function code is configured in the bidirectional protocol, and the control command represented by the function code is issued to the core control module for local control. In the protocol, the address code represents the address of each sensor module, and the function code represents the control command executed by the master and the slave, respectively. And after receiving the control command, the core control module executes the control command issued by the cloud platform.
The cloud platform comprises a storage module and a fault analysis module. After the cloud platform receives the operation and maintenance data, the storage module stores and analyzes the operation and maintenance data. In this embodiment, the cloud platform is a TLINK internet of things platform, and in other embodiments of the present application, the cloud platform may also be a OneNET internet of things platform. And the fault analysis module performs fault analysis according to the operation and maintenance data to generate fault early warning information. The fault analysis module comprises an evaluation set factor set determination module, a weight determination module, a fuzzy evaluation matrix determination module, an evaluation grade output module and a fault early warning module.
An evaluation set factor set determination module determines an evaluation set factor set, wherein the evaluation set factor set comprises an evaluation set and corresponding evaluation factors. In this embodiment, the evaluation set is the panel heating warning u 1 Early warning u for meteorological environment abnormity 2 . The evaluation factors corresponding to the heating early warning of the battery panel comprise the panel temperature u 11 Operating current u 12 And operating voltage u 13 (ii) a The evaluation factors corresponding to the meteorological environment abnormity early warning comprise the environment temperature and humidity u 21 And ambient light u 22 。
The weight determining module determines the weight of each evaluation factor; the evaluation set weight adopts an analytic hierarchy process as a weight determination method, and under the condition that the evaluation factors are only 2, the evaluation set u can be ensured 1 And u 2 The link between them. Namely, evaluation set weight A 1 ＝{0.3，0.7}；
Evaluation factor u 11 、u 12 、u 13 、u 21 、u 22 Weight distribution is carried out by using an entropy method, and the method comprises the following steps:
1. and (3) data standardization treatment:
for the convenience of uniform formula reference, the following description will use the above 5 evaluation factors respectively with the symbol X n (n =1, \8230;, 5). 5 evaluation factors X 1 ,X 2 …X n N =1, \ 82305, each of which takes 200 data samples, where X i ＝{x i1 ,x i2 ,…,x im }, m =1, \ 8230, 200, then the failure factor is normalized
2. Calculating the proportion of the normalized fault factor:
wherein p is ij Is =0, then is defined as
3. Calculating fault entropy values of 5 evaluation factors:
4. calculating the fault entropy redundancy of each evaluation factor:
d j ＝1-E j
5. calculating the weight of each evaluation factor:
a fuzzy evaluation matrix determining module determines a fuzzy evaluation matrix; predicting 200 sample data in 5 evaluation factors through a BP neural network, wherein 150 samples of each factor are used as a training set, 50 samples are used as a prediction comparison set, and when the prediction error is lower than 5%, a membership function input value with high reliability is used as x; counting k fault areas according to the photovoltaic fault empirical data to obtain a standard value b of each evaluation factor corresponding to the fault area ij (ii) a By Gaussian membership functions
Obtaining a membership value r ijk And obtaining a fuzzy evaluation matrix R through normalization ij 。
And the evaluation grade output module outputs the fuzzy evaluation grade. Respectively calculating B according to fuzzy weighted average type fuzzy operator 1 ＝A 11 ο(R 11 ,R 12 ,R 13 )，B 2 ＝A 12 ο(R 21 ,R 22 )。
The fault early warning module is according to R = (B) 1 ,B 2 )οA 1 Performing high-level comprehensive evaluation C = A 1 ο(B 1 ,B 2 ) And therefore, fault early warning information of the solar cell panel array is output. When C is greater than the set threshold, in this embodiment, the threshold is 0.7, that is, the probability of the occurrence of the photovoltaic fault is greater than 70%, an operation and maintenance task related to fault elimination needs to be issued to the cloud platform through the Arduino MEGA microcontroller, and in this embodiment, the issued operation and maintenance task includes scanning the inverter module, adjusting the circuit structure, and turning off the power supply of the battery panel.
The foregoing are embodiments of the present invention and are not intended to limit the scope of the invention to the particular forms or details of the structures, methods and materials described herein, which are presently known or later come to be known to those of ordinary skill in the art, such that the present invention may be practiced without departing from the spirit and scope of the appended claims. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be defined by the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. The utility model provides a photovoltaic solar power station operation and maintenance monitoring system based on thing networked control technique which characterized in that: the system comprises a sensor module, a wireless ad hoc network communication module, a core control module, a local upper computer module and a cloud platform;
the sensor module is: the system comprises a core control module, a wireless ad hoc network communication module, a photovoltaic solar power station and a photovoltaic solar power station, wherein the core control module is used for acquiring operation and maintenance data of the photovoltaic solar power station, and the operation and maintenance data are transmitted to the core control module through the wireless ad hoc network communication module;
the wireless ad hoc network communication module: the system is used for forming a network by the N sensor modules in a wireless self-forming way;
the core control module: the operation and maintenance data are transmitted to the cloud platform and the local upper computer module, and the control command issued by the cloud platform is executed;
the local upper computer module: the system is used for displaying operation and maintenance data, generating a control command according to the operation and maintenance data and a command table corresponding to the function codes of the host and the slave machines, and sending the control command to the core control module;
the cloud platform: the fault early warning system is used for storing and analyzing the operation and maintenance data, and performing fault analysis according to the operation and maintenance data to generate fault early warning information; the cloud platform comprises a storage module and a fault analysis module;
the storage module is used for: the operation and maintenance data are stored and analyzed;
the fault analysis module: the fault analysis module is used for analyzing faults according to the operation and maintenance data and generating fault early warning information; the fault analysis module comprises an evaluation set factor set determination module, a weight determination module, a fuzzy evaluation matrix determination module, an evaluation grade output module and a fault early warning module;
the evaluation set factor set determination module: the method is used for determining an evaluation set factor set, wherein the evaluation set factor set comprises an evaluation set and corresponding evaluation factors, and the evaluation set comprises meteorological environment abnormity early warning u 2 And battery board heating early warning u 1 (ii) a The evaluation factors corresponding to the heating early warning of the battery panel comprise the panel temperature u 11 Operating current u 12 And operating voltage u 13 (ii) a The evaluation factors corresponding to the meteorological environment abnormity early warning comprise the environmental temperature and humidity u 21 And ambient light u 22 ；
The weight determination module: the weight used for confirming each evaluation factor; the evaluation set weight adopts an analytic hierarchy process as a weight determination method, and under the condition that the evaluation factors are only 2, the evaluation set u can be ensured 1 And u 2 The relation between the two;
evaluation factor u 11 、u 12 、u 13 、u 21 、u 22 Weight distribution is carried out by using an entropy method, and the method comprises the following steps:
and (3) data standardization treatment:
the 5 evaluation factors are respectively marked with symbol X n (n =1, \8230;, 5) indicates that 5 evaluation factors X are used 1 ,X 2 …X n N =1, \ 82305, each of which takes 200 data samples, where X i ＝{x i1 ,x i2 ,…,x im }, m =1, \ 8230, 200, then the failure factor is normalized
Calculating the proportion of the normalized fault factors:
wherein p is ij Is not less than 0, then is defined as
Calculating fault entropy values of 5 evaluation factors:
calculating the fault entropy redundancy of each evaluation factor:
d j ＝1-E j
calculating the weight of each evaluation factor:
the fuzzy evaluation matrix determination module: for determining the fuzzy evaluation matrix: includes calculating the input value of membership function and calculating the evaluationThe factors correspond to the standard values of the fault areas and the fuzzy evaluation normalization matrix; predicting 200 sample data in each of the 5 evaluation factors through a BP neural network, wherein 150 samples of each factor are used as a training set, 50 samples are used as a prediction comparison set, and when the prediction error is lower than 5%, a membership function input value with high reliability is used as x; counting k fault areas according to the photovoltaic fault empirical data to obtain a standard value b of each evaluation factor corresponding to the fault area ij (ii) a By Gaussian membership functions
Obtaining a membership value r ijk And obtaining a fuzzy evaluation matrix R through normalization ij ；
The evaluation level output module: the fuzzy evaluation system is used for setting a fault threshold value and outputting a fuzzy evaluation grade through a fuzzy weighted average type fuzzy operator; respectively calculating according to fuzzy weighted average fuzzy operator
The fault early warning module: the fault early warning device is used for generating fault early warning information; fault pre-warning module according to
Performing high-level comprehensive evaluation
Thereby outputting the fault early warning information of the solar panel array; and when the C is larger than the set threshold, issuing an operation and maintenance task related to troubleshooting to the cloud platform through the Arduino MEGA microcontroller.
2. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the sensor module comprises a temperature sensor, a temperature and humidity sensor, an illuminance sensor, a current sensor and a voltage sensor;
the temperature and humidity sensor is characterized in that: the temperature and humidity monitoring system is used for monitoring the environmental temperature and humidity of the solar cell array;
the illuminance sensor: the system is used for monitoring the ambient light illumination of the solar cell array;
the temperature sensor is characterized in that: the system is used for monitoring the plate temperature of the solar cell panel;
the current sensor is: the monitoring device is used for monitoring the working current of the photovoltaic solar panel;
the voltage sensor is: the monitoring device is used for monitoring the working voltage of the photovoltaic solar panel;
evaluation factors corresponding to the meteorological environment abnormity early warning comprise environment temperature and humidity and environment illuminance;
evaluation factors corresponding to the battery panel heating early warning include panel temperature, working current and working voltage.
3. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the wireless ad hoc network communication module comprises a Lora module.
4. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the core control module comprises an ArduinoMEGA control module.
5. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the communication mode of the local upper computer module and the core control module comprises a self-setting protocol.
6. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the mode of the local upper computer module for displaying the operation and maintenance data comprises one or more of a data curve, a pie chart and a histogram.
7. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the cloud platform and the core control module communicate through one or more of 4G, 5G, wiFi, bluetooth and GPRS.
8. The photovoltaic solar power station operation and maintenance monitoring system based on the internet of things control technology as claimed in claim 1, wherein: the cloud platform comprises one or more of a TLINK Internet of things platform, a OneNet Internet of things platform and a smart cloud Internet of things platform.
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| CN103166240A (en) * | 2011-12-15 | 2013-06-19 | 中国科学院电工研究所 | Grid-connected solar photovoltaic power station monitoring system |
| CN105187010B (en) * | 2015-09-07 | 2018-03-13 | 无锡联盛合众新能源有限公司 | The Intellectualized monitoring and operational system of a kind of photovoltaic plant |
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