CN117975047A - Intelligent analysis system for solar energy storage rate data - Google Patents
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Abstract
The invention relates to an intelligent analysis system for solar energy storage rate data, which comprises the following components: the intelligent analysis mechanism is used for operating the cyclic neural network model to obtain a binary identification of whether contact exists between the solar energy storage equipment and the shadow which are output by the cyclic neural network model; and the early warning processing equipment is used for sending early warning information of energy storage rate reduction to the energy storage management server through the wireless network when the binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are in contact. According to the invention, on the basis of an intelligent analysis mechanism, the early warning processing equipment is cited for sending early warning information of energy storage rate reduction to the remote energy storage management server through the wireless network when the binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are in contact, so that reliable reference data is provided for energy storage management of the background.
Description
Technical Field
The invention relates to the field of energy storage management, in particular to an intelligent analysis system for solar energy storage rate data.
Background
Solar energy utilization is not very popular at present, and solar power generation has the problems of high cost and low conversion efficiency, but solar cells are applied to the aspect of providing energy for artificial satellites.
Humans rely on these energies for survival, including all other forms of renewable energy (except geothermal energy), while the total amount of solar energy is equivalent to more than ten thousand times the energy utilized by humans, the energy density of solar energy is low and it varies from place to place, which is a major problem faced by the development and utilization of solar energy. These characteristics of solar energy can limit its role in the overall integrated energy system.
Solar energy is both a primary energy source and a renewable energy source. The method has the advantages of rich resources, free use, no transportation and no pollution to the environment. Creates a new living form for human beings, and enables the society and the human beings to enter an age of saving energy and reducing pollution.
The invention publication CN115841397a is a solar distributed management apparatus, method, device and medium, comprising: the distributed management system responds to the management request to generate a corresponding grouping instruction, an acquisition instruction or a calling instruction, the grouping module responds to the grouping instruction to group each acquisition module, each storage module and each calling module to generate a corresponding target code and store the target code, the acquisition module responds to the acquisition instruction to acquire solar energy and convert the solar energy into electric energy, the generated storage signal is sent to the corresponding storage module, the calling module responds to the calling instruction to acquire corresponding energy storage data to generate a calling strategy, the corresponding calling signal is constructed and sent to the corresponding storage module, the storage module stores the electric energy into an energy storage power supply according to a coordinate code and an IP address code corresponding to the storage signal, and the energy storage power supply is called according to the coordinate code and the IP address code in response to the calling signal, so that the technical problem that the solar energy storage power supply is lower in management reliability in acquisition, storage and calling is better solved. In the solar energy utilization process, if the solar energy storage equipment and the shadow are contacted, the energy storage rate of the solar energy storage equipment is inevitably reduced, however, in the prior art, whether the solar energy storage equipment and the shadow are contacted cannot be accurately identified, so that the following solar energy storage control mechanism and the solar energy storage management mechanism lack key data.
Disclosure of Invention
The invention provides an intelligent analysis system for solar energy storage rate data, which comprises:
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, and the built-in network data interface is used for triggering the visual data monitoring of the working site of the solar energy storage equipment so as to obtain and output a corresponding network monitoring picture;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or brightness contrast in an image on the received network monitoring picture so as to obtain and output a corresponding continuous mapping picture;
The intelligent analysis mechanism is connected with the continuous mapping mechanism and is used for acquiring all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and all the constituent pixel points of the shadow in the continuous mapping picture, counting the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture, inputting the pixel values of all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture, the pixel values of all the constituent pixel points of the shadow in the continuous mapping picture, the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture into a cyclic neural network model, and running the cyclic neural network model to acquire a binary identification of whether contact exists between the solar energy storage equipment and the shadow which are output by the cyclic neural network model, wherein the learning times of the cyclic neural network model are in monotone positive relation with the definition of the continuous mapping picture;
The early warning processing device is connected with the intelligent analysis mechanism and is used for sending early warning information of energy storage rate reduction to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage device and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage device and the shadow are in contact;
The early warning processing equipment is also used for sending notification information of energy storage rate maintenance to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are not in contact;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or light-shade contrast in an image on a received network monitoring picture so as to obtain and output a corresponding continuous mapping picture, and comprises the following steps: the first mapping unit, the second mapping unit and the third mapping unit respectively execute arithmetic mean filtering processing, image airspace enhancement processing and processing of reserving the juncture of two parts with obvious colors or light-shade contrast in the image on the received picture content.
According to the intelligent analysis system for the solar energy storage rate data, on the basis of an intelligent analysis mechanism, the early warning processing equipment is cited for sending early warning information of the reduction of the energy storage rate to the remote energy storage management server through the wireless network when the binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are in contact, so that whether the energy storage rate of the solar energy storage equipment is in contact or not is judged on the basis of whether the solar energy storage equipment is in contact with the light shadow or not in a working site of the solar energy storage equipment, and reliable reference data is provided for energy storage management of a background.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system shown by a solar energy storage device according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system according to embodiment C of the present invention.
Detailed Description
Embodiments of the intelligent solar energy storage rate data analysis system according to the present invention will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system shown by a solar energy storage device according to an embodiment of the present invention, where the system includes:
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, and the built-in network data interface is used for triggering the visual data monitoring of the working site of the solar energy storage equipment so as to obtain and output a corresponding network monitoring picture;
The network monitoring mechanism is disposed at a working site of the solar energy storage device, the built-in network data interface is used for triggering visual data monitoring of the working site of the solar energy storage device, so as to obtain and output a corresponding network monitoring picture, and the network monitoring mechanism comprises: the network data interface is based on a time division duplex communication link or a frequency division duplex communication link;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or brightness contrast in an image on the received network monitoring picture so as to obtain and output a corresponding continuous mapping picture;
The intelligent analysis mechanism is connected with the continuous mapping mechanism and is used for acquiring all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and all the constituent pixel points of the shadow in the continuous mapping picture, counting the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture, inputting the pixel values of all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture, the pixel values of all the constituent pixel points of the shadow in the continuous mapping picture, the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture into a cyclic neural network model, and running the cyclic neural network model to acquire a binary identification of whether contact exists between the solar energy storage equipment and the shadow which are output by the cyclic neural network model, wherein the learning times of the cyclic neural network model are in monotone positive relation with the definition of the continuous mapping picture;
The early warning processing device is connected with the intelligent analysis mechanism and is used for sending early warning information of energy storage rate reduction to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage device and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage device and the shadow are in contact;
The early warning processing equipment is also used for sending notification information of energy storage rate maintenance to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are not in contact;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or light-shade contrast in an image on a received network monitoring picture so as to obtain and output a corresponding continuous mapping picture, and comprises the following steps: the first mapping unit, the second mapping unit and the third mapping unit respectively execute arithmetic mean filtering processing, image airspace enhancement processing and processing of reserving the juncture of two parts with obvious colors or light and shade in the image on the received picture content;
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, the built-in network data interface is used for triggering visual data monitoring on the working site of the solar energy storage equipment so as to obtain and output a corresponding network monitoring picture, and the network monitoring picture comprises: the network monitoring mechanism is connected with a remote energy storage management server through the network data interface in a wireless network manner.
Fig. 2 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system according to an embodiment of the present invention.
In contrast to the embodiment solar energy storage device, the embodiment shadow shows that the solar energy storage rate data intelligent parsing system may further include the following components:
The current sensing device is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit and is used for respectively measuring the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit;
The current sensing device is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used for respectively measuring current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and comprises the following components: the current sensing device comprises a plurality of current measuring units which are respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit;
The current sensing device comprises a plurality of current measuring units, and the current measuring units are respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and the respective measurement comprises the following steps: the plurality of current measuring units are a plurality of current sensing circuits and are respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit;
The plurality of current measurement units are a plurality of current sensing circuits and are used for being respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and the respective measurement comprises the following steps: the structures of the plurality of current sensing circuits are the same;
the plurality of current measurement units are a plurality of current sensing circuits and are used for being respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and the method further comprises the following steps: the plurality of current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.
Fig. 3 is a schematic diagram of an internal structure of a solar energy storage rate data intelligent analysis system according to embodiment C of the present invention.
In contrast to the embodiment solar energy storage device, the solar energy storage rate data intelligent parsing system shown in embodiment C may further include the following components:
the real-time display component is respectively connected with the plurality of current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit and is used for displaying the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time;
The real-time display component is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the plurality of current sensing circuits of the third mapping unit, and is used for displaying respective current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time, and comprises the following components: the real-time display component is an LED display array formed by a plurality of LED display units;
the real-time display component is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the plurality of current sensing circuits of the third mapping unit, and is used for displaying respective current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time, and comprises the following components: the real-time display component is an LCD display array formed by a plurality of LCD display units.
In addition, in the intelligent analysis system for solar energy storage rate data, the network monitoring mechanism is arranged on the working site of the solar energy storage device, the built-in network data interface is used for triggering the visual data monitoring on the working site of the solar energy storage device so as to obtain and output a corresponding network monitoring picture, and the intelligent analysis system further comprises: the wireless network is based on a time division duplex communication link or a frequency division duplex communication link;
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, the built-in network data interface is used for triggering visual data monitoring on the working site of the solar energy storage equipment so as to obtain and output a corresponding network monitoring picture, and the network monitoring mechanism further comprises: the energy storage management server is a cloud computing server or a big data server.
The technical characteristics of the invention represented by each embodiment of the invention are as follows:
(1) Acquiring each component pixel point of the solar energy storage device in the continuous mapping picture and each component pixel point of the shadow in the continuous mapping picture, and counting the total number of the component pixel points of the solar energy storage device in the continuous mapping picture and the total number of the component pixel points of the shadow in the continuous mapping picture, so as to screen out each basic data for subsequent intelligent judgment;
(2) Inputting pixel values of all the constituent pixel points of the solar energy storage device in the continuous mapping picture, pixel values of all the constituent pixel points of the shadow in the continuous mapping picture, the total number of the constituent pixel points of the solar energy storage device in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture into a cyclic neural network model, and operating the cyclic neural network model to obtain a binary identification whether contact exists between the solar energy storage device and the shadow which are output by the cyclic neural network model, wherein the learning times of the cyclic neural network model are monotonically and positively associated with the definition of the continuous mapping picture;
(3) The reference early warning processing equipment is used for sending early warning information of energy storage rate reduction to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage equipment and the shadow are in contact or not, which is output by the cyclic neural network model, indicate that the solar energy storage equipment and the shadow are in contact or not, so that whether the energy storage rate of the solar energy storage equipment is in contact or not is judged based on whether the solar energy storage equipment is in contact with the light shadow or not in a working site of the solar energy storage equipment, and reliable reference data is provided for energy storage management of a background.
The intelligent analysis system for the solar energy storage rate data is used for solving the technical problem that whether the solar energy storage equipment and the shadow are contacted or not is difficult to effectively identify in the prior art, so that the energy storage management is difficult, and the intelligent analysis mechanism is based on which the early warning processing equipment is cited for sending early warning information of the reduction of the energy storage rate to the remote energy storage management server through a wireless network when the binary identification, which is output by the cyclic neural network model, of whether the solar energy storage equipment and the shadow are contacted or not indicates that the solar energy storage equipment and the shadow are contacted or not, so that reliable reference data is provided for the energy storage management of the background.
While the present invention has been fully described by way of example and with reference to the accompanying drawings, it is to be understood that various changes and modifications will become apparent to those skilled in the art. Accordingly, unless otherwise indicated, variations and modifications depart from the scope of the present invention, they should be construed as being included therein.
Claims (9)
1. An intelligent solar energy storage rate data analysis system, comprising:
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, and the built-in network data interface is used for triggering the visual data monitoring of the working site of the solar energy storage equipment so as to obtain and output a corresponding network monitoring picture;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or brightness contrast in an image on the received network monitoring picture so as to obtain and output a corresponding continuous mapping picture;
The intelligent analysis mechanism is connected with the continuous mapping mechanism and is used for acquiring all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and all the constituent pixel points of the shadow in the continuous mapping picture, counting the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture, inputting the pixel values of all the constituent pixel points of the solar energy storage equipment in the continuous mapping picture, the pixel values of all the constituent pixel points of the shadow in the continuous mapping picture, the total number of the constituent pixel points of the solar energy storage equipment in the continuous mapping picture and the total number of the constituent pixel points of the shadow in the continuous mapping picture into a cyclic neural network model, and running the cyclic neural network model to acquire a binary identification of whether contact exists between the solar energy storage equipment and the shadow which are output by the cyclic neural network model, wherein the learning times of the cyclic neural network model are in monotone positive relation with the definition of the continuous mapping picture;
The early warning processing device is connected with the intelligent analysis mechanism and is used for sending early warning information of energy storage rate reduction to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage device and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage device and the shadow are in contact;
The early warning processing equipment is also used for sending notification information of energy storage rate maintenance to a remote energy storage management server through a wireless network when a binary identification of whether the solar energy storage equipment and the shadow output by the cyclic neural network model are in contact or not indicates that the solar energy storage equipment and the shadow are not in contact;
The continuous mapping mechanism is connected with the network monitoring mechanism and comprises a first mapping unit, a second mapping unit and a third mapping unit, and is used for continuously executing arithmetic mean filtering processing, image airspace enhancement processing and processing reserved at the junction of two parts with obvious color or light-shade contrast in an image on a received network monitoring picture so as to obtain and output a corresponding continuous mapping picture, and comprises the following steps: the first mapping unit, the second mapping unit and the third mapping unit respectively execute arithmetic mean filtering processing, image airspace enhancement processing and processing of reserving the juncture of two parts with obvious colors or light-shade contrast in the image on the received picture content.
2. The intelligent solar energy storage rate data analysis system according to claim 1, wherein:
The network monitoring mechanism is arranged on the working site of the solar energy storage equipment, the built-in network data interface is used for triggering the visual data monitoring of the working site of the solar energy storage equipment so as to obtain and output corresponding network monitoring pictures and comprises the following steps: the network monitoring mechanism is connected with a remote energy storage management server through the network data interface in a wireless network manner.
3. The intelligent solar energy storage rate data analysis system of claim 2, further comprising:
The current sensing device is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit and is used for respectively measuring the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit;
The current sensing device is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used for respectively measuring current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and comprises the following components: the current sensing device comprises a plurality of current measuring units which are respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit.
4. The intelligent solar energy storage rate data analysis system according to claim 3, wherein:
The current sensing device comprises a plurality of current measuring units, which are respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, wherein the respective measurement comprises the following steps: the plurality of current measuring units are a plurality of current sensing circuits and are used for being respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit so as to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit.
5. The intelligent solar energy storage rate data analysis system according to claim 4, wherein:
The plurality of current measuring units are a plurality of current sensing circuits and are used for being respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and the respective measurement comprises the following steps: the plurality of current sensing circuits are identical in structure.
6. The intelligent solar energy storage rate data analysis system according to claim 5, wherein:
The plurality of current measuring units are a plurality of current sensing circuits and are used for being respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to finish the respective measurement of the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and the method further comprises the following steps: the plurality of current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.
7. The intelligent solar energy storage rate data analysis system of any one of claims 3-6, further comprising:
And the real-time display component is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the plurality of current sensing circuits of the third mapping unit and is used for displaying the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time.
8. The intelligent solar energy storage rate data analysis system according to claim 7, wherein:
The real-time display component is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the plurality of current sensing circuits of the third mapping unit and is used for displaying the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time, and the current real-time current values comprise: the real-time display component is an LED display array formed by a plurality of LED display units.
9. The intelligent solar energy storage rate data analysis system according to claim 7, wherein:
The real-time display component is respectively connected with the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the plurality of current sensing circuits of the third mapping unit and is used for displaying the current real-time current values of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit in real time, and the current real-time current values comprise: the real-time display component is an LCD display array formed by a plurality of LCD display units.
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