WO2022112829A1 - Système et procédé de surveillance et de diagnostic de panneaux solaires - Google Patents

Système et procédé de surveillance et de diagnostic de panneaux solaires Download PDF

Info

Publication number
WO2022112829A1
WO2022112829A1 PCT/IB2020/061194 IB2020061194W WO2022112829A1 WO 2022112829 A1 WO2022112829 A1 WO 2022112829A1 IB 2020061194 W IB2020061194 W IB 2020061194W WO 2022112829 A1 WO2022112829 A1 WO 2022112829A1
Authority
WO
WIPO (PCT)
Prior art keywords
solar
sensor
master sensor
cloud server
parameter
Prior art date
Application number
PCT/IB2020/061194
Other languages
English (en)
Inventor
Govinda UPADHYAY
Frédéric Alexis Guillaume DE GOUMOËNS
Original Assignee
Smarthelio Sarl
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Smarthelio Sarl filed Critical Smarthelio Sarl
Priority to PCT/IB2020/061194 priority Critical patent/WO2022112829A1/fr
Publication of WO2022112829A1 publication Critical patent/WO2022112829A1/fr

Links

Classifications

    • 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

Definitions

  • the present invention relates to the field of solar panel monitoring. More specifically the invention relates to a method and a system for remotely monitoring solar panels.
  • a system for monitoring a plurality of solar panels comprising a cloud server configured to predict a solar production parameter for a location; a master sensor configured to receive the solar production parameter from the cloud server; at least one slave sensor coupled to the master sensor, wherein the at least one slave sensor is coupled to at least one of the plurality of solar panels, wherein the at least one slave sensor is configured to receive the solar production parameter from the master sensor and to sense at least one power parameter of the at least one of the plurality of solar panels to obtain a sensed power parameter of the at least one of the plurality of solar panels; an anomaly detection module configured to analyze a relationship between the sensed power parameter(s) and the solar production parameter to generate an analyzed output; a message generation module configured to generate a message based on the analyzed output and a transmission means for transmitting the message to the master sensor and further to the cloud server.
  • the expression “solar panel” means a PV panel.
  • the “sensed power parameter” relates to a power that is supplied by a single solar panel at a given moment in time.
  • the expression “sensed power parameter” relates to a power that is supplied by a group of solar panels at a particular moment in time.
  • a “sensed power parameter” in the sense of this invention can relate to a single solar panel or yet to a plurality of solar panels.
  • system further comprises an alert generation module configured to send an alert message from the cloud server to at least one of a set of predetermined users.
  • the anomaly detection module is configured to compare the sensed power parameter of a current solar panel with the sensed power parameter of at least one neighboring solar panel of the plurality of solar panels to generate the analyzed output.
  • the solar production parameter is based on at least one of a past climatic data or a dynamic weather information.
  • the solar production parameter comprises a time series of values for solar irradiation and/or a time series of values for air temperature and/or one or more tolerance value(s), preferably one or more tolerance value(s) for each time series.
  • the sensed power parameter comprises a voltage and a current generated by the plurality of solar panels.
  • only the master sensor is configured to communicate with the cloud server.
  • the master sensor preferably only the master sensor and none of the slave servers, comprises a communication module, wherein the communication module is preferably configured for communication by means of short messages (SMS) and/or the internet and/or a low-power wide-area network (LPWAN) and/or a low-range wide-area network (LoRaWAN), wherein the communication module preferably comprises a SIM card.
  • SMS short messages
  • LPWAN low-power wide-area network
  • LoRaWAN low-range wide-area network
  • the system comprises a communication management unit, wherein the communication unit is configured to allow and/or to disallow one or more of the sensors to communicate with the cloud and/or with each other, preferably on a case-by-case basis.
  • the problem is furthermore solved by a method for monitoring a plurality of solar panels, wherein the method comprises the steps of predicting a solar production parameter for a location based on at least one of a past climatic data or dynamic weather information on a cloud server; transmitting the solar production parameter to a master sensor, wherein the master sensor is coupled to at least one slave sensor; receiving the solar production parameter by the master sensor and transmitting the solar production parameter to the at least one slave sensor, wherein the at least one slave sensor is coupled to at least one of the plurality of solar panels; sensing at least one power parameter of the at least one of the plurality of solar panels by the at least one slave sensor to obtain a sensed power parameter of the at least one of the plurality of solar panels; analyzing a relationship between the sensed power parameter(s)
  • the sensed power parameter can correspond to a power parameter of a single solar panel or to a power parameter for a plurality of solar panels, in other words a combined power parameter for more than one single solar panel.
  • the method comprises a step of sending an alert message from the cloud server to at least one of a set of predetermined users.
  • the step of analyzing the sensed power parameter further comprises comparing the sensed power parameter of a current solar panel with the sensed power parameter of at least one neighboring solar panel of the plurality of solar panels to generate the analyzed output.
  • the sensed power parameter comprises a voltage and a current generated by the plurality of solar panels.
  • the solar production parameter comprises a time series of values for solar irradiation and/or a time series of values for air temperature and/or one or more tolerance value(s), preferably one or more tolerance value(s) for each time series.
  • the method comprises a communication management process, wherein in the communication management process, decisions as to whether to allow and/or to disallow one or more of the sensors to communicate with the cloud and/or with each other are preferably continuously made, preferably on a case-by-case basis.
  • Fig. 1 illustrates a block diagram of a system for monitoring a plurality of solar panels, in accordance with an embodiment of the invention.
  • Fig. 2 illustrates deployment of the slave sensor, in accordance to an embodiment of the invention.
  • Fig. 3 illustrates the communication between the slave sensors, master sensor and cloud server, in accordance to an embodiment of the invention.
  • Fig. 4 illustrates the communication between the slave sensors, master sensor and cloud server, in accordance to another embodiment of the invention.
  • Fig. 5 illustrates multiple slave sensors controlled by multiple master sensors, in accordance to another embodiment of the invention.
  • Fig. 6 illustrates a flow diagram of a method for monitoring a plurality of solar panels, in accordance with an embodiment of the invention.
  • the present invention discloses a system and method for remotely monitoring the solar panels.
  • the present invention makes use of master-slave-sensor network for monitoring the solar panels.
  • the master-slave-sensor network helps to minimize the usage of bandwidth of communication channel for monitoring the solar panels.
  • Fig. 1 illustrates a block diagram of a system for monitoring a plurality of solar panels, in accordance with an embodiment of the invention.
  • the system 100 as shown includes a cloud server 102 configured to predict a solar production parameter for a location.
  • the system 100 includes a master sensor 104 configured to receive the solar production parameter from the cloud server 102.
  • the system 100 also includes at least one slave sensor 106 coupled to the master sensor 104, wherein the at least one slave sensor 106 is coupled to at least one of the plurality of solar panels, wherein the at least one slave sensor 106 is configured to receive the solar production parameter from the master sensor 104 and to sense at least one power parameter of the at least one of the plurality of solar panels (the solar panels are themselves not shown in Fig.
  • the system 100 also includes an anomaly detection module 108 configured to analyze a relationship between the sensed power parameter(s) and the solar production parameter to generate an analyzed output.
  • the system 100 further includes a message generation module 110 configured to generate a message based on the analyzed output and transmitting the message to the master sensor 104 and further to the cloud server 102.
  • the analyzed output generated by the anomaly detection module 108 indicates a normal power production or an anomaly in the power production of the solar panel.
  • the message generation module generates two types of messages such as an anomaly message and normal message depending on the analyzed output.
  • the message generation module generates an anomaly message when the analyzed output indicates an anomaly in the power generation whereas the message generation module generates a normal message when the analyzed output does not indicate an anomaly.
  • the sensed power parameter comprises voltage and current generated by the solar panel.
  • the sensed power parameter(s) obtained by the at least one slave sensor is/are recorded by the anomaly detection module when a drop in production of energy in the plurality of solar panels is determined.
  • only the data corresponding to the drop in energy production of the solar panel are recorded and this helps to reduce the data that needs to be transmitted to the master sensor and to the cloud server.
  • the anomaly message includes for example the following information such as a unique identification of the at least one slave sensor, the power parameter(s) sensed by the at least one slave sensor, time of sensing the power parameter(s) (sampling time) by the at least one slave sensor, anomaly power generated by the at least one slave sensor.
  • the anomaly power is needed for detecting short-term faults such as shadowing, short circuit etc.
  • the normal message includes the unique identification of the at least one slave sensor, the power parameters sensed by the at least one slave sensor and the total energy produced. Typically, total energy is measured by the at least one sensor with a certain sampling time.
  • the value of the total energy present in the normal message transmitted by the anomaly detection module is required to detect long-term faults such as dusting (soil cover), pollutant cover, and degradation in the panel.
  • the message generation module depending on the type of message generated, further determines when to transmit the message to the master sensor and further to the cloud sever.
  • the transmission of message to the master sensor and to the cloud server happens essentially immediately, wherein the message is typically transmitted without any delay or with a delay of not more than 0.1 ms and/or not more than 1 ms and/or not more than 10 ms and/or not more than 100 ms and/or not more than 1 s.
  • the message generated is a normal message then the message is transmitted to the master sensor and to the cloud server at a predetermined time of the day.
  • the predetermined time of the day may be determined and set to be at a fixed time for example at the end of the day or when the sun sets etc.
  • the message is transmitted from the master server to the cloud server at a flexible time, for example at a time when data traffic on a communication network which the master sensor and the cloud server are using for communication is low, for example when an actual bandwidth of the communication network equals at least 50%, preferably at least 65%, more preferably at least 80% of a maximum bandwidth of the communication network and/or when an actual network traffic equals 60% or less, preferably 50% or less, more preferably 40% or less of a maximum network traffic.
  • the master sensor classifies each message to be transmitted to the cloud server into one of the two categories “critical” and “non-critical”.
  • messages classified as “critical” are transmitted from the master to the cloud server on the same day on which they are received by the master sensor, for example by the end of this day or not more than 2 minutes after reception or not more than 20 minutes after reception or not more than 2 hours after reception.
  • messages classified as “non-critical” are transmitted from the master to the cloud server at a time when data traffic on a communication network which the master sensor and the cloud server are using for communication is low, for example when an actual bandwidth of the communication network equals at least 50%, preferably at least 65%, more preferably at least 80% of a maximum bandwidth of the communication network and/or when an actual network traffic equals 60% or less, preferably 50% or less, more preferably 40% or less of a maximum network traffic.
  • the non-critical messages are transmitted from the master sensor to the cloud server in the late evening or in the early morning, for example between 22:00 and 06:00, preferably between 23:00 and 04:00.
  • the message generation module may include a transmitter for transmitting the message to the master sensor.
  • the transmitter for transmitting the message generated by the message generation module is external to the message generation module and/or is not a part of the message generation module.
  • the system further includes an alert generation module configured to send an alert message from the cloud server to at least one of a set of predetermined users from the cloud server.
  • the set of predetermined users may vary according to the type of message received by the alert generation module.
  • the predetermined users may include for example persons responsible for the maintenance of the solar panel or any other person concerned to maintain the solar panel, when the alert generation module receives an anomaly message.
  • the alert message may be sent through various communication means.
  • the communication means include an email communication, as short message service (SMS) or through any available messaging services such as WhatsApp, Skype etc.
  • SMS short message service
  • WhatsApp Skype etc.
  • the alert message is sent through more than one means of communication via a cellular mode or an internet route.
  • the anomaly detection module further compares the sensed power parameter of a current solar panel with the sensed power parameter of one or more of neighboring solar panels to generate the analyzed output.
  • the comparison of the sensed power parameter of a current solar panel with the sensed power parameter of the neighbors helps in identifying the short term or temporary or instantaneous fault in the plurality of solar panels.
  • the analyzed output generated by the anomaly detection module includes the details regarding the identified type of fault.
  • the anomaly detection module identifies the short-term faults such as a shadow or short circuit when a drop in the production of energy is detected in a current solar panel. Typically, if all the slave sensors have identified a sudden drop in production of electrical energy in in their respective solar panels, then the drop could for example be a cloud passing and/or this apparent fault should go away after a while. If the drop in production of electrical energy persists even after a predefined multi-drop time, then the sensed power parameter is transmitted to the master sensor on expiration of the predefined multi-drop time.
  • the predefined single-drop time is shorter than the pre-defmed multi-drop time. In typical embodiments, the predefined single-drop time equals at most 50%, preferably at most 20%, more preferably at most 5% of the pre-defmed multi-drop time. In typical embodiments, the predefined single-drop time equals between 0 seconds to 60 seconds, preferably between 0 seconds and 30 seconds, more preferably between 0 seconds and 15 seconds.
  • Typical examples for the predefined single-drop time are 0 seconds, 2 seconds, 8 seconds, 10 seconds, 15 seconds, 20 seconds, 30 seconds, 40 seconds, 50 seconds and 60 seconds.
  • the predefined multi-drop time equals between 15 seconds to 1800 seconds, preferably between 30 seconds and 900 seconds, more preferably between 60 seconds and 300 seconds.
  • Typical examples for the predefined single-drop time are 15 seconds, 30 seconds, 60 seconds, 120 seconds, 240 seconds, 300 seconds, 600 seconds, 900 seconds, 1200 seconds and 1800 seconds.
  • the solar production parameter is based on at least one of a past climatic data or dynamic weather information.
  • the solar production parameter is based on the solar radiation data provided by institutions such as NASA for the location/region in which the plurality of solar panels is located or on a clear sky detection model of the region in which the plurality of solar panels is located in the absence of any solar irradiation information for that location/region.
  • the solar production parameter comprises at least one of a time series values for solar irradiation, air temperature and tolerance value.
  • the tolerance value for the solar panel electrical energy production is calculated for each of the solar panels based on physical parameters such as technical specification such as short circuit photo current (Isc), open circuit photo voltage (Voc), solar panel output (W), degradation, weather parameters (air temperature, wind, solar irradiation) etc.
  • the tolerance value describes an acceptable difference between a predicted (or in other words: expected) electrical energy production and an actual electrical energy production.
  • the tolerance value is calculated in the cloud server and the value of the tolerance is transmitted to the master sensor and subsequently to the plurality of slave sensors.
  • the tolerance value is typically used by the anomaly detection module to generate the analyzed output.
  • the at least one slave sensor receives physical parameters received by the master sensor from the cloud server. These physical parameters are used for determining the tolerance value(s) for the solar panel electrical energy production at the slave sensors.
  • the anomaly detection module uses a tolerance value for each of the solar panels for determining the anomaly in power generation.
  • the tolerance value is a user input value based on the prior experience of the predetermined users.
  • the tolerance value is calculated by analyzing the actual performance of the plurality of solar panels and checking how much is the deviation from the yield and/or the expected performance.
  • the tolerance value(s) equal(s) between 2% and 10%, preferably between 3% and 8%, more preferably between 4% and 6%.
  • the tolerance value(s) equal(s) approximately 5%.
  • different PV modules and/or different strings of PV modules at least partly have different tolerance values.
  • the at least one slave sensor is configured to transmit messages to at least one other slave sensor.
  • the at least one slave sensor is configured to transmit messages directly to the master sensor.
  • the at least one slave sensor uses low distance communication tools such as radio frequency (RF), Bluetooth, wired communication, etc. to communicate with the master sensor.
  • RF radio frequency
  • the master sensor is configured to communicate with the cloud server using short messages (SMS), internet, or a low-power wide- area network technology (LPWAN) or any other appropriate communication channels.
  • SMS short messages
  • LPWAN low-power wide- area network technology
  • the master sensor has a bidirectional communication mode with the cloud server.
  • the cloud server sends the solar production parameter to the master sensor and the master sensor transmits the anomalous values from the at least one slave sensor back to the cloud server.
  • the at least one slave sensors’ activity in a certain region is optimized by activating only a few of the at least one slave sensors at a particular time, allowing optimizing the data transmitted to the cloud server.
  • the system comprises more than one master sensor.
  • one master sensor receives or transmits messages to another master sensor.
  • each master sensor is configured to receive different messages from the cloud server for its respective slave sensors.
  • the master sensor packs the solar production parameters received from the cloud server as short messages for each of the at least one slave sensor(s) or for another master sensor.
  • the master sensor ranks the various messages received from the at least one slave sensor(s) based on their relevance. In an embodiment of the present invention, the ranks facilitate to compute which message from the at least one slave sensor needs to be transmitted to the cloud server. In an embodiment of the present invention, the master sensor determines the number of messages to be transmitted to the cloud server from the messages received from the at least one slave sensor(s). Typically, if the at least one slave sensors have equal production or similar failure profile, then the master sensor sends only few data points related to few of the at least one slave sensors. For example, if the decrease in power rate in the at least one slave sensors are similar and there is no anomaly, then the master sensor sends only the rate and not the full power from each of the at least one slave sensor.
  • the master sensor only sends a power decrease value, for example “10%” (corresponding to a power decrease of 10%), for this multitude of slave sensors to the cloud server instead of full data points and/or complete data for all slave sensors.
  • a message sequence is sent from the cloud server to the master sensor and further to the at least one slave sensor to verify whether the fault persists.
  • the person who is fixing the fault in the solar panel is provided with a facility for sending a message directly to the master sensor via short message service (SMS) after fixing the fault.
  • SMS short message service
  • the master sensor after receiving the message, transmits the message to the slave sensor(s).
  • the person who is fixing the solar panel sends a message to the master sensor that transmits the received message to the slave sensor(s) and if the slave sensor(s) sense(s) that the anomaly is rectified then a subsequent message is transmitted to the cloud server and to the person who has fixed the fault in the solar panel.
  • the message transmitted by the person includes a sequence of code generated by the cloud depending on the at least one slave sensor.
  • the system uses short message service (SMS) to transmit messages from the master sensor to the cloud server.
  • SMS short message service
  • the master sensor transmits a message as an SMS to a secure phone or secure server, wherein the phone acts as a server and the phone uploads all data from the master sensor to the cloud server. Transmitting data via an SMS is a cheap and secure way to transmit data both ways.
  • the SMS mode of transmitting messages is used to transmit messages from the master sensor to the cloud server and vice versa.
  • the at least one slave sensor is deployed at string level or individual solar panel level.
  • Fig 2 illustrates the various deployments of the slave sensors, in accordance to an embodiment of the invention.
  • a sub-module string is formed when a group of solar panels is connected in series to form a sub-module string.
  • three slave sensors 106a, 106b, 106c are deployed to three sub-module strings 114a, 114b, 114c, wherein each of the sub-module strings 114a, 114b and 114c comprises five series- connected solar panels.
  • the sub-module string 114a comprises the five series-connected solar panels such as 112a, 112b, 112c, 112d and 112e.
  • the sub-module string 114b comprises the five series-connected solar panels 112f, 112g, 112h, 112i and 112j .
  • the sub-module string 114c comprises the five series-connected solar panels 112k, 1121, 112m, 112n and 112o.
  • Three slave sensors 106a, 106b, 106c are deployed at the sub-module string 114a, 114b and 114c, respectively.
  • the three slave sensors 106a, 106b, 106c are configured to measure sub-module string level performance.
  • an additional slave sensor 106d is deployed on an individual solar panel 112k, wherein the additional slave sensor 106d measures the performance of the individual solar panel 112k.
  • Fig. 3 illustrates the communication between a multitude of slave sensors 106a, 106b, 106c, 106d, 106e, a master sensor 104 and a cloud server 102, in accordance to an embodiment of the invention.
  • the slave sensors 106a, 106b, 106c, 106d, 106e and master sensor 104 communicate with each other via mesh communication.
  • a radio frequency transmitter (not shown in Figure 3) transmits the analysed output generated from the slave sensor values to the master sensor 104 which processes the data and sends the data to the cloud server 102.
  • the slave sensors 106a, 106b, 106c, 106d, 106e and the master sensor 104 have a bi-directional communication.
  • bi-directional communication means that a sensor or a cloud is in principle configured to send and receive information from another sensor and/or cloud.
  • This is indicated in Figure 3 by left right arrows, or in other words arrows with arrow heads on both sides.
  • Such arrows can also be referred to as bi-directional arrows.
  • each sensor can have a unidirectional mode and a bi directional mode, wherein the system is typically configured to switch one or more sensors from one mode to the other and back, preferably depending on a communication load or the like.
  • Fig. 4 illustrates the communication between the slave sensors, master sensor and cloud server, in accordance to another embodiment of the invention.
  • the slave sensors 106a, 106b, 106c, 106d, 106e and master sensor 104 talk with each other via mesh communication.
  • the slave sensor 106b is configured to send message to master sensor (104) either directly or through the mesh, i.e. relay message through other slave sensors such as the slave sensors 106c, 106e.
  • master sensor (104) either directly or through the mesh, i.e. relay message through other slave sensors such as the slave sensors 106c, 106e.
  • some of the arrows in Figure 4 are shown as unidirectional arrows. This does not necessarily mean, that the sensors which are shown in conjunction with one of these unidirectional arrows, for example the sensor 106a and the sensor 106b, can only communicate in one direction.
  • FIG. 5 illustrates multiple slave sensors controlled by multiple master sensors 104, 104b, in accordance to another embodiment of the invention.
  • the slave sensors 106a, 106b, 106c, 106d, 106e are controlled by the first master sensor 104.
  • the slave sensors 106f, 106g, 106h, 106i, 106j are controlled by the second master sensor 104b.
  • the second master sensor 104b communicates with the first master sensor 104, wherein the first master sensor 104 in turn communicates with the cloud server 102.
  • the first master sensor 104 is configured to communicate with the cloud server 102.
  • the second master server 104b is exclusively configured to communicate with the slave sensors 106f, 106g, 106h, 106i and 106j on one hand as well as with the first master sensor on the other hand.
  • the data from the lower PV system shown in Figure 5 is transmitted to the cloud server 102 directly, namely through the first master sensor 104.
  • some arrows are shown as unidirectional arrows and some arrows are shown as bi-directional arrows. This does not necessarily mean that the concerned sensors can only communicate in one direction, but it can rather mean that at least some of these sensors are currently in a unidirectional mode.
  • the master sensor 104 is currently in a unidirectional mode which can also be referred to as transmission mode.
  • Fig. 6 illustrates a basic flow diagram of a method for monitoring a plurality of solar panels, in accordance with an embodiment of the invention.
  • the method 200 includes the step 202 of predicting a solar production parameter for a location based on at least one of past climatic data or dynamic weather information on a cloud server.
  • the method 200 also includes the step 204 of transmitting the solar production parameter to a master sensor, wherein the master sensor is coupled to at least one slave sensor.
  • the method 200 further includes the step 206 of receiving the solar production parameter by the master sensor and transmitting the solar production parameter to the at least one slave sensor, wherein the at least one slave sensor is coupled to at least one of the plurality of solar panels.
  • the method 200 also includes the step 208 of sensing at least one power parameter of the plurality of solar panels by the at least one slave sensor to obtain a sensed power parameter of the plurality of solar panels.
  • the method 200 also includes the step 210 of analyzing a relationship between the sensed power parameter(s) and the solar production parameter to generate an analyzed output of the solar panel.
  • the method 200 also includes the step 210 of generating a message to send to the master sensor based on the analyzed output.
  • the method 200 further includes the step 210 of transmitting the message to the master sensor and to the cloud.
  • the method further includes the step of sending an alert message from the cloud server to at least one of a set of predetermined users from the cloud.
  • the step of analyzing further includes the step of comparing the sensed power parameter of a current solar panel with the sensed power parameter of at least one neighboring solar panels to generate the analyzed output.
  • the power parameter comprises voltage and current generated by the solar panel.
  • the solar production parameter received at the step of receiving solar production parameter comprises at least one of a time series values for solar irradiation, air temperature and tolerance.
  • the present invention provides a reliable low-cost system to monitor and control the solar panels by providing low cost sensors such as slave sensors and master sensor for monitoring a group of solar panels.
  • the present invention utilizes less data transfer while monitoring the solar panels and provides insights about the production and possible faults to the interested parties such as solar plant owner or the predetermined user.
  • the master sensor transmits only few data points to the cloud server.
  • each slave sensor sends between 1 and 60, preferably between 1 and 40, more preferably between 1 and 20 data points per 24 hours to the master sensor.
  • the master sensor sends between 2% and 20%, preferably between 5% and 15%, more preferably approximately 10% of the data points received by the slave sensors to the cloud server.
  • each claim may stand on its own as a separate embodiment. While each claim may stand on its own as a separate embodiment, it is to be noted that - although a dependent claim may refer in the claims to a specific combination with one or more other claims - other embodiments may also include a combination of the dependent claim with the subject matter of each other dependent or independent claim. Such combinations are proposed herein unless it is stated that a specific combination is not intended. Furthermore, it is intended to include also features of a claim to any other independent claim even if this claim is not directly made dependent to the independent claim.

Abstract

Un système de surveillance d'une pluralité de panneaux solaires comprend un serveur en nuage configuré pour prédire un paramètre de production solaire pour un emplacement, un capteur maître configuré pour recevoir le paramètre de production solaire en provenance du serveur en nuage, au moins un capteur esclave couplé au capteur maître, ledit au moins un capteur esclave étant couplé à au moins un panneau solaire de la pluralité de panneaux solaires, ledit au moins un capteur esclave étant configuré pour recevoir le paramètre de production solaire en provenance du capteur maître et pour détecter au moins un paramètre de puissance dudit au moins un panneau solaire de la pluralité de panneaux solaires afin d'obtenir un paramètre de puissance détecté dudit au moins un panneau solaire de la pluralité de panneaux solaires, un module de détection d'anomalie configuré pour analyser une relation entre le(s) paramètre(s) de puissance et le paramètre de production solaire afin de générer une sortie analysée, un module de génération de message configuré pour générer un message sur la base de la sortie analysée, et un moyen de transmission pour transmettre le message au capteur maître et au serveur en nuage.
PCT/IB2020/061194 2020-11-26 2020-11-26 Système et procédé de surveillance et de diagnostic de panneaux solaires WO2022112829A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2020/061194 WO2022112829A1 (fr) 2020-11-26 2020-11-26 Système et procédé de surveillance et de diagnostic de panneaux solaires

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2020/061194 WO2022112829A1 (fr) 2020-11-26 2020-11-26 Système et procédé de surveillance et de diagnostic de panneaux solaires

Publications (1)

Publication Number Publication Date
WO2022112829A1 true WO2022112829A1 (fr) 2022-06-02

Family

ID=74004121

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2020/061194 WO2022112829A1 (fr) 2020-11-26 2020-11-26 Système et procédé de surveillance et de diagnostic de panneaux solaires

Country Status (1)

Country Link
WO (1) WO2022112829A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120271576A1 (en) * 2011-04-22 2012-10-25 Expanergy, Llc Systems and methods for analyzing energy usage
US20120323382A1 (en) * 2011-06-15 2012-12-20 Expanergy, Llc Systems and methods to assess and optimize energy usage for a facility

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120271576A1 (en) * 2011-04-22 2012-10-25 Expanergy, Llc Systems and methods for analyzing energy usage
US20120323382A1 (en) * 2011-06-15 2012-12-20 Expanergy, Llc Systems and methods to assess and optimize energy usage for a facility

Similar Documents

Publication Publication Date Title
KR102023465B1 (ko) 사물인터넷을 이용한 태양광 발전장치의 고장진단시스템 및 그 방법
CN102282444B (zh) 具有模块监视的光电系统
US20100038440A1 (en) Method and system for remote wireless monitoring and control of climate in greenhouses
KR101295529B1 (ko) 태양전지판의 고장진단 원격감시 시스템
EP2480862B1 (fr) Système de télémétrie
US8575783B2 (en) Solar panel as infrared signal receiver and processor
US20100241375A1 (en) Smart device for enabling real-time monitoring, measuring, managing and reporting of energy by solar panels and method therefore
US6856257B1 (en) Data collection and metering system
CN108965374B (zh) 综合监控装置、综合监控方法及存储介质
KR101943636B1 (ko) 차세대 IoT를 지원하기 위한 스마트 RTU
KR102428602B1 (ko) 태양광 발전 시스템에서 수집한 데이터를 통합적으로 관리하여 설비의 상태를 자동으로 모니터링하는 장치 및 방법
US9813294B2 (en) Optimization of a home automation system using a local power line communication network
CN103559786A (zh) 一种变电站监控方法及系统
KR101516603B1 (ko) 저전력 센서 네트워크를 이용한 플러그-인 타입의 상황인지 기반 태양광 설비 통합 감시 시스템
KR20140144340A (ko) Ｒｔｕ를 이용한 태양광발전모니터링 방법 및 무선 ｒｔｕ장치
KR20170133604A (ko) 스마트 공장을 위한 게이트웨이 및 이를 포함하는 제어시스템
Kulau et al. Undervolting in real world wsn applications: A long-term study
CN207319050U (zh) 一种分布式光伏电站的集中监控运维系统
John et al. Design and Implementation of a Wireless SensorNetwork for Agricultural Applications
JP6369569B2 (ja) 制御装置、制御方法、及び制御プログラム
Al-Hamadi et al. Optimizing the lifetime of IoT-based star and mesh networks
Huang et al. Intelligent building hazard detection using wireless sensor network and machine learning techniques
WO2022112829A1 (fr) Système et procédé de surveillance et de diagnostic de panneaux solaires
Spachos et al. Self-powered wireless sensor network for environmental monitoring
US10520969B2 (en) System and method of data reduction for cellular M2M transmissions from energy management systems

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20829202

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 13/09/2023)