Solar energy storage rate data intelligent analysis system

Abstract

The present invention relates to a solar energy storage rate data intelligent analysis system, comprising: an intelligent analysis mechanism for running a recurrent neural network model to obtain a binary identification of whether a solar energy storage device and a shadow are in contact; an early warning processing device for sending early warning information of a decrease in energy storage rate to an energy storage management server via a wireless network when the binary identification of whether a solar energy storage device and a shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact. Through the present invention, on the basis of the intelligent analysis mechanism, the early warning processing device can be cited to send early warning information of a decrease in energy storage rate to a remote energy storage management server via a wireless network when the binary identification of whether a solar energy storage device and a shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact, thereby providing reliable reference data for background energy storage management.

Description

Technical Field

[0001] The present invention relates to the field of energy storage management, and in particular to an intelligent analysis system for solar energy storage rate data. Background Art

[0002] The use of solar energy is not yet very popular, and there are still problems of high cost and low conversion efficiency in using solar energy to generate electricity. However, solar cells have been used to provide energy for artificial satellites.

[0003] Humans rely on these energies to survive, including all other forms of renewable energy (except geothermal energy resources). Although the total amount of solar energy resources is more than 10,000 times the energy used by humans, the energy density of solar energy is low, and it varies from place to place and from time to time. This is the main problem faced in the development and utilization of solar energy. These characteristics of solar energy will limit its role in the overall comprehensive energy system.

[0004] Solar energy is both a primary energy source and a renewable energy source. It is abundant in resources, can be used for free, does not require transportation, and does not pollute the environment. It has created a new way of life for mankind, and has brought society and mankind into an era of energy conservation and pollution reduction.

[0005] The invention publication CN115841397A is a solar energy distributed management device, method, equipment and medium, including: a distributed management system responds to a management request, generates a corresponding grouping instruction, a collection instruction or a call instruction, a grouping module responds to the grouping instruction, groups each collection module, each storage module and each call module, generates a corresponding target code and stores it, the collection module responds to the collection instruction to collect solar energy and convert it into electric energy, and sends the generated storage signal to the corresponding storage module, the call module responds to the call instruction, obtains the corresponding energy storage data to generate a call strategy, and constructs a corresponding call signal to send it to the corresponding storage module, the storage module stores the electric energy as an energy storage power supply according to the coordinate code and IP address code corresponding to the storage signal, and responds to the call signal to call the energy storage power supply according to the coordinate code and IP address code, so as to better solve the technical problem of low management reliability of solar energy storage power supply in collection, storage and call. In the process of utilizing solar energy, if the solar energy storage device and the shadow are in contact, it will inevitably lead to a decrease in the energy storage rate of the solar energy storage device. However, the prior art cannot accurately identify whether the solar energy storage device and the shadow are in contact, resulting in the lack of key data in the subsequent solar energy storage control mechanism and solar energy storage management mechanism. Summary of the invention

[0006] The present invention provides a solar energy storage rate data intelligent analysis system, the system comprising:

[0007] A network monitoring mechanism is arranged at the working site of the solar energy storage device, and has a built-in network data interface for triggering visual data monitoring of the working site of the solar energy storage device to obtain and output a corresponding network monitoring screen;

[0008] A continuous mapping mechanism, connected to the network monitoring mechanism and comprising a first mapping unit, a second mapping unit and a third mapping unit, for continuously performing arithmetic mean filtering processing, image spatial domain enhancement processing and a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image on the received network monitoring picture, so as to obtain and output a corresponding continuous mapping picture;

[0009] an intelligent analysis mechanism connected to the continuous mapping mechanism, for obtaining each component pixel of the solar energy storage device in the continuous mapping picture and each component pixel of the shadow in the continuous mapping picture, counting the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture, inputting the pixel value of each component pixel point of the solar energy storage device in the continuous mapping picture, the pixel value of each component pixel point of the shadow in the continuous mapping picture, the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture into a recurrent neural network model, and running the recurrent neural network model to obtain a binary identification of whether the solar energy storage device and the shadow are in contact, the number of learning times of the recurrent neural network model is monotonically positively correlated with the clarity of the continuous mapping picture;

[0010] an early warning processing device connected to the intelligent analysis mechanism, and configured to send an early warning message of a decrease in energy storage rate to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact;

[0011] The early warning processing device is further used to send a notification message of energy storage rate maintenance to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are not in contact;

[0012] Among them, the continuous mapping mechanism is connected to the network monitoring mechanism and includes a first mapping unit, a second mapping unit and a third mapping unit, which is used to continuously perform arithmetic mean filtering processing, image spatial domain enhancement processing and retention processing of the junction of two parts with obvious color or light and dark contrast in the image on the received network monitoring picture, so as to obtain and output the corresponding continuous mapping picture, including: the first mapping unit, the second mapping unit and the third mapping unit respectively perform arithmetic mean filtering processing, image spatial domain enhancement processing and retention processing of the junction of two parts with obvious color or light and dark contrast in the image on the received picture content.

[0013] The present invention provides a solar energy storage rate data intelligent analysis system. Based on the intelligent analysis mechanism, an early warning processing device is used to send an early warning message of energy storage rate reduction to a remote energy storage management server through a wireless network when a binary identifier output by a recurrent neural network model indicating whether the solar energy storage device and the shadow are in contact indicates that the solar energy storage device and the shadow are in contact. In this way, it is judged whether the energy storage rate of the solar energy storage device begins to decrease based on whether the solar energy storage device begins to come into contact with the light shadow at the working site of the solar energy storage device, thereby providing reliable reference data for the background energy storage management. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0015] Figure 1 A schematic diagram of the internal structure of a solar energy storage rate data intelligent analysis system is shown for a solar energy storage device according to an embodiment of the present invention.

[0016] Figure 2 It is a schematic diagram of the internal structure of the solar energy storage rate data intelligent analysis system shown in shadow according to an embodiment of the present invention.

[0017] Figure 3 Schematic diagram of the internal structure of a solar energy storage rate data intelligent analysis system according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0018] The implementation scheme of the solar energy storage rate data intelligent analysis system of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] Figure 1 The internal structure diagram of the solar energy storage rate data intelligent analysis system is shown in the solar energy storage device according to the embodiment of the present invention. The system includes:

[0020] A network monitoring mechanism is arranged at the working site of the solar energy storage device, and has a built-in network data interface for triggering visual data monitoring of the working site of the solar energy storage device to obtain and output a corresponding network monitoring screen;

[0021] For example, a network monitoring mechanism is provided at a working site of a solar energy storage device, and a built-in network data interface is used to trigger visual data monitoring of the working site of the solar energy storage device to obtain and output a corresponding network monitoring screen, including: the network data interface is based on a time division duplex communication link or a frequency division duplex communication link;

[0022] A continuous mapping mechanism, connected to the network monitoring mechanism and comprising a first mapping unit, a second mapping unit and a third mapping unit, for continuously performing arithmetic mean filtering processing, image spatial domain enhancement processing and a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image on the received network monitoring picture, so as to obtain and output a corresponding continuous mapping picture;

[0023] an intelligent analysis mechanism connected to the continuous mapping mechanism, for obtaining each component pixel of the solar energy storage device in the continuous mapping picture and each component pixel of the shadow in the continuous mapping picture, counting the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture, inputting the pixel value of each component pixel point of the solar energy storage device in the continuous mapping picture, the pixel value of each component pixel point of the shadow in the continuous mapping picture, the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture into a recurrent neural network model, and running the recurrent neural network model to obtain a binary identification of whether the solar energy storage device and the shadow are in contact, the number of learning times of the recurrent neural network model is monotonically positively correlated with the clarity of the continuous mapping picture;

[0024] an early warning processing device connected to the intelligent analysis mechanism, and configured to send an early warning message of a decrease in energy storage rate to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact;

[0025] The early warning processing device is further used to send a notification message of energy storage rate maintenance to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are not in contact;

[0026] Wherein, the continuous mapping mechanism is connected to the network monitoring mechanism and includes a first mapping unit, a second mapping unit and a third mapping unit, and is used to continuously perform arithmetic mean filtering processing, image spatial domain enhancement processing and a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image on the received network monitoring picture, so as to obtain and output the corresponding continuous mapping picture, including: the first mapping unit, the second mapping unit and the third mapping unit respectively perform arithmetic mean filtering processing, image spatial domain enhancement processing and a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image on the received picture content;

[0027] Among them, the network monitoring mechanism is set at the working site of the solar energy storage equipment, and the built-in network data interface is used to trigger visual data monitoring of the working site of the solar energy storage equipment to obtain and output the corresponding network monitoring screen, including: the network monitoring mechanism is connected to the remote energy storage management server wireless network through the network data interface.

[0028] Figure 2 It is a schematic diagram of the internal structure of the solar energy storage rate data intelligent analysis system shown in shadow according to an embodiment of the present invention.

[0029] Compared with the solar energy storage device of the embodiment, the solar energy storage rate data intelligent analysis system shown in the shadow of the embodiment may also include the following components:

[0030] a current sensor, connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, respectively, and used to measure the current real-time current values ​​of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively;

[0031] Wherein, the current sensor device is respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to respectively measure the current real-time current values ​​of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, including: the current sensor device includes a plurality of current measurement units, which are respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, so as to complete the 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;

[0032] Wherein, the current sensor device includes a plurality of current measurement units, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the 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 respectively, including: the plurality of current measurement units are a plurality of current sensing circuits, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the 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 respectively;

[0033] Wherein, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the 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 respectively, including: the structures of the multiple current sensing circuits are the same;

[0034] Among them, the multiple current measurement units are multiple current sensing circuits, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the separate 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 respectively, and also include: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

[0035] Figure 3 Schematic diagram of the internal structure of a solar energy storage rate data intelligent analysis system according to implementation scheme C of the present invention.

[0036] Compared with the solar energy storage device in the implementation scheme, the solar energy storage rate data intelligent analysis system shown in the implementation scheme C may also include the following components:

[0037] A real-time display component, connected to the multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, respectively, 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;

[0038] Wherein, the real-time display component is respectively connected to the multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to display 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, including: the real-time display component is an LED display array composed of multiple LED display units;

[0039] Among them, the real-time display component is respectively connected to multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to display 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 includes: the real-time display component is an LCD display array composed of multiple LCD display units.

[0040] In addition, in the solar energy storage rate data intelligent analysis system, the network monitoring mechanism is arranged at the working site of the solar energy storage equipment, and the built-in network data interface is used to trigger the visual data monitoring of the working site of the solar energy storage equipment to obtain and output the corresponding network monitoring screen, and further includes: the wireless network is based on a time division duplex communication link or a frequency division duplex communication link;

[0041] Among them, the network monitoring mechanism is set up at the working site of the solar energy storage equipment, and the built-in network data interface is used to trigger visual data monitoring of the working site of the solar energy storage equipment to obtain and output the corresponding network monitoring screen. It also includes: the energy storage management server is a cloud computing server or a big data server.

[0042] The technical features of the invention embodied in each embodiment of the present invention are:

[0043] (1) Obtaining each pixel point of the solar energy storage device in the continuous mapping picture and each pixel point of the shadow in the continuous mapping picture, and counting the total number of pixel points of the solar energy storage device in the continuous mapping picture and the total number of pixel points of the shadow in the continuous mapping picture, so as to screen out various basic data for subsequent intelligent judgment;

[0044] (2) inputting the pixel values ​​of each pixel of the solar energy storage device in the continuous mapping picture, the pixel values ​​of each pixel of the shadow in the continuous mapping picture, the total number of pixel of the solar energy storage device in the continuous mapping picture, and the total number of pixel of the shadow in the continuous mapping picture into a recurrent neural network model, and running the recurrent neural network model to obtain a binary identification of whether the solar energy storage device and the shadow are in contact, wherein the number of learning times of the recurrent neural network model is monotonically positively correlated with the clarity of the continuous mapping picture;

[0045] (3) The early warning processing device is used to send an early warning message of energy storage rate reduction to a remote energy storage management server via a wireless network when the binary identifier of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact. In this way, it is judged whether the energy storage rate of the solar energy storage device begins to decrease based on whether the solar energy storage device begins to come into contact with the light shadow at the working site of the solar energy storage device, thereby providing reliable reference data for the background energy storage management.

[0046] The solar energy storage rate data intelligent analysis system of the present invention can solve the technical problem in the prior art that it is difficult to effectively identify whether the solar energy storage device and the shadow are in contact, resulting in difficulties in energy storage management. On the basis of the intelligent analysis mechanism, the system can use the early warning processing device to send an early warning message of energy storage rate reduction to the remote energy storage management server through the wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact, thereby providing reliable reference data for the background energy storage management.

[0047] Although the present invention has been fully described by way of example and with reference to the accompanying drawings, it should be understood that various changes and modifications are apparent to those skilled in the art. Therefore, unless otherwise indicated that changes and modifications depart from the scope of the present invention, such changes and modifications should be considered to be included in the scope of the present invention.

Claims

1. A solar energy storage rate data intelligent analysis system, characterized in that: The system comprises: A network monitoring mechanism is arranged at the working site of the solar energy storage device, and has a built-in network data interface for triggering visual data monitoring of the working site of the solar energy storage device to obtain and output a corresponding network monitoring screen; A continuous mapping mechanism, connected to the network monitoring mechanism and comprising a first mapping unit, a second mapping unit and a third mapping unit, for continuously performing arithmetic mean filtering processing, image spatial domain enhancement processing and a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image on the received network monitoring picture, so as to obtain and output a corresponding continuous mapping picture; an intelligent analysis mechanism connected to the continuous mapping mechanism, for obtaining each component pixel of the solar energy storage device in the continuous mapping picture and each component pixel of the shadow in the continuous mapping picture, counting the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture, inputting the pixel value of each component pixel point of the solar energy storage device in the continuous mapping picture, the pixel value of each component pixel point of the shadow in the continuous mapping picture, the total number of component pixel points of the solar energy storage device in the continuous mapping picture and the total number of component pixel points of the shadow in the continuous mapping picture into a recurrent neural network model, and running the recurrent neural network model to obtain a binary identification of whether the solar energy storage device and the shadow are in contact, the number of learning times of the recurrent neural network model is monotonically positively correlated with the clarity of the continuous mapping picture; an early warning processing device connected to the intelligent analysis mechanism, and configured to send an early warning message of a decrease in energy storage rate to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are in contact; The early warning processing device is further used to send a notification message of energy storage rate maintenance to a remote energy storage management server via a wireless network when the binary mark of whether the solar energy storage device and the shadow are in contact output by the recurrent neural network model indicates that the solar energy storage device and the shadow are not in contact; Among them, the continuous mapping mechanism is connected to the network monitoring mechanism and includes a first mapping unit, a second mapping unit and a third mapping unit, which is used to continuously perform arithmetic mean filtering processing, image spatial domain enhancement processing and retention processing of the junction of two parts with obvious color or light and dark contrast in the image on the received network monitoring picture, so as to obtain and output the corresponding continuous mapping picture, including: the first mapping unit, the second mapping unit and the third mapping unit respectively perform arithmetic mean filtering processing, image spatial domain enhancement processing and retention processing of the junction of two parts with obvious color or light and dark contrast in the image on the received picture content.

2. The solar energy storage rate data intelligent analysis system according to claim 1, characterized in that: A network monitoring mechanism is arranged at the working site of the solar energy storage equipment, and has a built-in network data interface for triggering visual data monitoring of the working site of the solar energy storage equipment to obtain and output the corresponding network monitoring screen, including: the network monitoring mechanism is connected to the remote energy storage management server wireless network through the network data interface.

3. The solar energy storage rate data intelligent analysis system according to claim 2, characterized in that: The system further comprises: a current sensor, connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, respectively, and used to measure the current real-time current values ​​of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively; Among them, the current sensor device is respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to respectively measure 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 sensor device includes multiple current measurement units, which are used to be respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to complete the respective measurements 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 solar energy storage rate data intelligent analysis system according to claim 3, characterized in that: The current sensor device includes a plurality of current measuring units, which are used to be respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to complete the respective measurements 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 measuring units are a plurality of current sensing circuits, which are used to be respectively connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit to complete the respective measurements 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 solar energy storage rate data intelligent analysis system according to claim 4, characterized in that: The multiple current measurement units are multiple current sensing circuits, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the respective measurements 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, including: the structures of the multiple current sensing circuits are the same.

6. The solar energy storage rate data intelligent analysis system according to claim 5, characterized in that: The multiple current measurement units are multiple current sensing circuits, which are used to be connected to the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit respectively, so as to complete the respective measurements 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. It also includes: the multiple current sensing circuits have the same current measurement upper limit value and current measurement lower limit value.

7. The solar energy storage rate data intelligent analysis system according to any one of claims 3 to 6, characterized in that: The system further comprises: A real-time display component is respectively connected to multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to display 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 solar energy storage rate data intelligent analysis system according to claim 7, characterized in that: A real-time display component is respectively connected to multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to display 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 includes an LED display array composed of multiple LED display units.

9. The solar energy storage rate data intelligent analysis system according to claim 7, characterized in that: A real-time display component is respectively connected to multiple current sensing circuits of the intelligent analysis mechanism, the first mapping unit, the second mapping unit and the third mapping unit, and is used to display 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 includes an LCD display array composed of multiple LCD display units.

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