Photovoltaic fresh-keeping system, control method and computer readable storage medium

Abstract

The invention relates to the technical field of fruit and vegetable preservation, in particular to a photovoltaic preservation system, a control method and a readable storage medium. Through integration of the photovoltaic power generation system and the energy storage system, dependence on traditional energy is reduced, energy consumption and carbon emission are reduced, and the development trend of energy conservation and environmental protection is met. Environmental parameters such as temperature, humidity and illumination in the warehouse are accurately controlled, a suitable fresh-keeping environment is provided for fruits and vegetables, the respiration of the fruits and vegetables is inhibited, the fresh-keeping period of the fruits and vegetables is prolonged, and the quality and value of the fruits and vegetables are improved. The invention aims to solve the problem of how to carry out low-cost and long-time preservation on fruits and vegetables.

Description

Technical Field

[0001] The present application relates to the technical field of fruit and vegetable preservation, and in particular to a photovoltaic preservation system, a control method and a readable storage medium. Background Art

[0002] Fresh fruits and vegetables continue to undergo complex physiological, biochemical and physical changes after harvest, which lead to weight loss, wrinkled skin, reduced quality and shrinkage of harvested fruits and vegetables, which seriously reduce the quality of fruits and vegetables and affect the sales price. Therefore, the preservation and storage of fruits and vegetables has become an important factor restricting the development of the fruit and vegetable industry.

[0003] Traditional fruit and vegetable cold chain fresh-keeping warehouses mainly use compressor refrigeration to reduce the temperature in the fruit and vegetable storage bin to a low temperature where the fruits and vegetables are not easy to rot for a long time. However, traditional cold chain fresh-keeping warehouses not only consume a lot of electricity; on the other hand, in addition to temperature, the storage time of fruits and vegetables is also related to factors such as the oxygen, carbon dioxide content and dryness and humidity in their environment, and traditional fruit and vegetable cold chain fresh-keeping warehouses are usually unable to adjust other factors except temperature.

[0004] With the rapid development and technological progress of my country's photovoltaic industry, the efficiency of photovoltaic power generation has gradually increased. Applying photovoltaic power generation technology to various high-power-consuming equipment to reduce its electricity cost has gradually become a research hotspot. In view of this, there is a need for a photovoltaic fresh-keeping system that combines photovoltaic power generation technology with the cold chain storage of fruits and vegetables to achieve low-cost and long-term preservation of fruits and vegetables.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide a photovoltaic preservation system, aiming to solve the problem of how to preserve fruits and vegetables for a long time at low cost.

[0007] To achieve the above-mentioned purpose, the present application provides a photovoltaic fresh-keeping system, including a storage bin, wherein the storage bin is provided with a bin data acquisition module, a refrigerator, a dehumidifier, an industrial oxygen generator and an adjustable brightness lighting lamp, wherein the bin data acquisition module is integrated with a temperature sensor, a humidity sensor, an oxygen sensor, a carbon dioxide sensor and a light sensor, which are respectively used to collect the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity in the storage bin, and the photovoltaic fresh-keeping system further includes:

[0008] Photovoltaic power generation module, which is used to collect light energy through photovoltaic panels and convert it into electrical energy and store it;

[0009] A power supply module, used to transmit the electric energy in the photovoltaic power generation module to the storage bin for power supply;

[0010] The control module includes a PID operation module, which is used to generate / adjust the operating parameters of at least one of the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting according to at least one parameter collected in the storage bin, including the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity.

[0011] Optionally, the photovoltaic fresh-keeping system further includes:

[0012] An outdoor data collection module is used to collect at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation;

[0013] The control module also includes:

[0014] A power supply optimization unit is used to predict the power supply required in the next time series based on the weather data, and adjust the power supply size of the storage warehouse according to the predicted power supply.

[0015] Optionally, the power supply optimization unit includes:

[0016] A multivariate time series prediction unit, configured to predict a temperature prediction value set, a humidity prediction value set, a meteorological factor prediction value set, and a power load prediction value set for the next time series based on the weather data and in combination with a temperature set, a humidity set, a meteorological factor prediction value set, and a power load set for the current time series;

[0017] A power supply calculation unit is used to calculate the predicted power supply in the next time series based on the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

[0018] In addition, to achieve the above purpose, the present application also provides a control method for a photovoltaic fresh-keeping system, the control method comprising the following steps:

[0019] Acquire at least one parameter of temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity collected in the storage bin;

[0020] According to at least one parameter among the temperature, the humidity, the oxygen concentration, the carbon dioxide concentration and the light intensity, the operating parameters of at least one device among the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting are generated / adjusted.

[0021] Optionally, the control method further includes:

[0022] Collect at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation;

[0023] The predicted power supply required in the next time series is predicted based on the weather data, and the power supply size of the storage warehouse is adjusted according to the predicted power supply.

[0024] Optionally, the control method further includes:

[0025] Based on the weather data, and in combination with the temperature set, humidity set, meteorological factor set and power load set of the surrounding area of ​​the storage bin in the current time series, the temperature prediction value set, humidity prediction value set, meteorological factor prediction value set and power load prediction value set of the next time series are predicted;

[0026] The predicted power supply in the next time series is calculated based on the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

[0027] This application has at least the following effects:

[0028] 1. Through the integration of photovoltaic power generation system and energy storage system, the dependence on traditional energy is reduced, energy consumption and carbon emissions are reduced, which is in line with the development trend of energy conservation and environmental protection;

[0029] 2. Extend the shelf life: By precisely controlling the temperature, humidity, light and other environmental parameters in the warehouse, a suitable fresh-keeping environment is provided for fruits and vegetables, the respiration of fruits and vegetables is inhibited, the shelf life of fruits and vegetables is extended, and the quality and value of fruits and vegetables are improved;

[0030] 3. Modular design makes maintenance and upgrading easy. Intelligent control strategies and environmental monitoring modules are used to reduce the need for manual operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the photovoltaic fresh-keeping system architecture involved in the first embodiment of the present application;

[0032] Figure 2 Schematic diagram of the architecture of a multivariate time series prediction model involved in the third embodiment of the present application;

[0033] Figure 3 This is a schematic diagram of the detailed architecture of the photovoltaic fresh-keeping system involved in the fourth embodiment of the present application;

[0034] Figure 4 This is a flow chart of a control method for a photovoltaic fresh-keeping system according to a fifth embodiment of the present application;

[0035] Figure 5 This is a flow chart of a control method for a photovoltaic fresh-keeping system according to a sixth embodiment of the present application;

[0036] Figure 6 This is a flow chart of a control method for a photovoltaic fresh-keeping system according to the seventh embodiment of the present application. The realization of the purpose, functional features and advantages of the present application will be further described in conjunction with the embodiments with reference to the accompanying drawings. DETAILED DESCRIPTION

[0037] In order to better understand the above technical solution, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0038] First embodiment

[0039] As an implementation plan, Figure 1 This is a schematic diagram of the photovoltaic preservation system architecture involved in the embodiment of the present application, including a storage bin 1001. The storage bin 1001 is equipped with an in-bin data acquisition module, a refrigerator, a dehumidifier, an industrial oxygen generator and an adjustable brightness lighting lamp. The in-bin data acquisition module is integrated with a temperature sensor, a humidity sensor, an oxygen sensor, a carbon dioxide sensor and a light sensor, which are respectively used to collect the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity in the storage bin.

[0040] Photovoltaic power generation module 1002, used to collect light energy through photovoltaic panels and convert it into electrical energy and store it;

[0041] A power supply module 1003, used to transmit the electric energy in the photovoltaic power generation module to the storage bin for power supply;

[0042] The control module 1004 includes a PID operation module, which is used to generate / adjust the operating parameters of at least one of the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting according to at least one parameter collected in the storage bin, including the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity.

[0043] In this embodiment, the photovoltaic fresh-keeping system is implemented as follows during operation:

[0044] S1. System initialization: Power on and start the intelligent control system, set the maximum power point tracking (MPPT) algorithm parameters of the photovoltaic power generation system, set the charging / discharging strategy parameters of the energy storage system, and set the set values ​​of environmental parameters such as temperature, humidity and light in the storage.

[0045] S2. Real-time monitoring: The photovoltaic power generation system monitors the real-time power generation, the energy storage system monitors the real-time state of charge (SOC) and charging and discharging status, and the environmental sensors in the storage monitor parameters such as temperature, humidity and light.

[0046] S3. Energy optimization intelligent strategy operation: Intelligent algorithms analyze real-time data to predict future energy demand and weather changes. Based on the prediction results, the charging and discharging strategy of the energy storage system is optimized to ensure that photovoltaic energy is used first during peak energy demand.

[0047] S4.PID operation module control: The PID operation module accurately controls the execution modules such as refrigerators and dehumidifiers to achieve stable control of the environment inside the warehouse.

[0048] S5. Inverter adjustment: The inverter adjusts the operating speed of execution modules such as refrigerators and dehumidifiers according to the instructions of the PID operation module to achieve real-time adjustment of the environment inside the warehouse.

[0049] S6. System feedback and adjustment: Real-time monitoring of system operating status and environmental parameters. Feedback of monitoring data to the central control module for adjusting control parameters and strategies. Form a closed-loop control system to continuously optimize operating efficiency.

[0050] S7. Data recording and analysis: Record system operation data and environmental parameters. Analyze data regularly to optimize intelligent algorithms and control strategies.

[0051] In the technical solution provided in this embodiment, by integrating the photovoltaic power generation system with the energy storage system, the dependence on traditional energy is reduced, energy consumption and carbon emissions are reduced, and the development trend of energy conservation and environmental protection is met; by accurately controlling environmental parameters such as temperature, humidity and light in the warehouse, a suitable preservation environment is provided for fruits and vegetables, the respiration of fruits and vegetables is inhibited, the shelf life of fruits and vegetables is extended, and the quality and value of fruits and vegetables are improved.

[0052] Second embodiment

[0053] Based on the first embodiment, in this embodiment, the photovoltaic fresh-keeping system further includes:

[0054] An outdoor data collection module is used to collect at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation;

[0055] The control module also includes:

[0056] A power supply optimization unit is used to predict the power supply required in the next time series based on the weather data, and adjust the power supply size of the storage warehouse according to the predicted power supply.

[0057] The third embodiment,

[0058] Based on any of the above embodiments, in this embodiment, the power supply optimization unit includes:

[0059] A multivariate time series prediction unit, configured to predict a temperature prediction value set, a humidity prediction value set, a meteorological factor prediction value set, and a power load prediction value set for the next time series based on the weather data and in combination with a temperature set, a humidity set, a meteorological factor prediction value set, and a power load set for the current time series;

[0060] A power supply calculation unit is used to calculate the predicted power supply in the next time series based on the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

[0061] In this embodiment, refer to Figure 2 The schematic diagram of the architecture of the multivariate time series prediction model shown in the figure uses the Crossformer network to predict the temperature, humidity, meteorological factors around the fresh-keeping warehouse, power load, etc. of the next time series, so as to better regulate various parameters.

[0062] Fourth embodiment

[0063] Based on any of the above embodiments, refer to Figure 3 In this embodiment, it is proposed that Figure 3 The partial architecture diagram of the photovoltaic fresh-keeping system shown in FIG. 1 shows that the solar photovoltaic panel 1 is electrically connected to the inverter controller 2, and the inverter controller 2 is connected to the local power grid 3 to control the operating parameters of the inverter 4. The inverter 4 is electrically connected to the compressor 5 in the refrigerator, and the compressor 5, the condenser 6, the refrigerant storage tank 7, the expansion valve 8, the two-way valve 9, the evaporator 10 and the gas-liquid separator 11 are connected in sequence to form a closed loop.

[0064] In addition, the other side of the two-way valve 9 is connected to the heat exchanger 12 as the input end of the heat exchanger 12; the output end of the heat exchanger 12 is respectively connected to the gas-liquid separator 11 and the variable speed circulation pump 14, the first variable speed circulation pump 14 is connected to the cold tank water tank 15, and the cold tank water tank 15 is provided with a variable opening valve 16. The cold air fan 18 is connected to the variable opening valve 16 through the second variable speed circulation pump 17, and the cold air output by the cold air fan 18 is transported to the cold tank water tank 15 and connected to the other input end of the heat exchanger 12.

[0065] Fifth embodiment

[0066] As another implementation scheme, based on the photovoltaic fresh-keeping system architecture proposed in the first embodiment, refer to Figure 4 In the fifth embodiment, the control method of the photovoltaic fresh-keeping system comprises the following steps:

[0067] Step S1, obtaining at least one parameter of temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity collected in the storage bin;

[0068] Step S2, generating / adjusting operating parameters of at least one of the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting according to at least one parameter among the temperature, the humidity, the oxygen concentration, the carbon dioxide concentration and the light intensity.

[0069] Sixth embodiment

[0070] Based on the fifth embodiment, in this embodiment, refer to Figure 5 , the control method comprises the following steps:

[0071] Step S10, collecting at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation;

[0072] Step S20, predicting the power supply required in the next time series based on the weather data, and adjusting the power supply size of the storage warehouse according to the predicted power supply.

[0073] Seventh embodiment

[0074] Based on the fifth embodiment, in this embodiment, refer to Figure 6 , the control method comprises the following steps:

[0075] Step S100, based on the weather data and in combination with the temperature set, humidity set, meteorological factor set and power load set of the surrounding area of ​​the storage bin in the current time series, predict the temperature prediction value set, humidity prediction value set, meteorological factor prediction value set and power load prediction value set of the next time series;

[0076] Step S200, calculating the predicted power supply in the next time series according to the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

[0077] In addition, it can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the photovoltaic fresh-keeping system to implement the process steps of the embodiment of the above method.

[0078] Therefore, the present application also provides a computer-readable storage medium, which stores a control program of a photovoltaic preservation system. When the control program of the photovoltaic preservation system is executed by a processor, the various steps of the control method of the photovoltaic preservation system described in the above embodiment are implemented.

[0079] The computer-readable storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which may store program codes.

[0080] It should be noted that since the storage medium provided in the embodiment of the present application is the storage medium used to implement the method of the embodiment of the present application, based on the method introduced in the embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the storage medium, so it is not repeated here. All storage media used in the method of the embodiment of the present application belong to the scope of protection of this application.

[0081] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0082] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0085] It should be noted that in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present application may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

[0086] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0087] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A photovoltaic fresh-keeping system, comprising a storage bin, characterized in that: The storage warehouse is provided with a warehouse data acquisition module, a refrigerator, a dehumidifier, an industrial oxygen generator and an adjustable brightness lighting lamp. The warehouse data acquisition module is integrated with a temperature sensor, a humidity sensor, an oxygen sensor, a carbon dioxide sensor and a light sensor, which are respectively used to collect the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity in the storage warehouse. The photovoltaic fresh-keeping system also includes: Photovoltaic power generation module, which is used to collect light energy through photovoltaic panels and convert it into electrical energy and store it; A power supply module, used to transmit the electric energy in the photovoltaic power generation module to the storage bin for power supply; The control module includes a PID operation module, which is used to generate / adjust the operating parameters of at least one of the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting according to at least one parameter collected in the storage bin, including the temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity.

2. The photovoltaic fresh-keeping system according to claim 1, characterized in that: The photovoltaic fresh-keeping system also includes: An outdoor data collection module is used to collect at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation; The control module also includes: A power supply optimization unit is used to predict the power supply required in the next time series based on the weather data, and adjust the power supply size of the storage warehouse according to the predicted power supply.

3. The photovoltaic fresh-keeping system according to claim 2, characterized in that: The power supply optimization unit comprises: A multivariate time series prediction unit, configured to predict a temperature prediction value set, a humidity prediction value set, a meteorological factor prediction value set, and a power load prediction value set for the next time series based on the weather data and in combination with a temperature set, a humidity set, a meteorological factor prediction value set, and a power load set for the current time series; A power supply calculation unit is used to calculate the predicted power supply in the next time series based on the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

4. A control method for the photovoltaic fresh-keeping system according to any one of claims 1 to 3, characterized in that: The control method comprises the following steps: Acquire at least one parameter of temperature, humidity, oxygen concentration, carbon dioxide concentration and light intensity collected in the storage bin; According to at least one parameter among the temperature, the humidity, the oxygen concentration, the carbon dioxide concentration and the light intensity, the operating parameters of at least one device among the refrigerator, the dehumidifier, the industrial oxygen generator and the adjustable brightness lighting are generated / adjusted.

5. The method according to claim 4, characterized in that The control method further comprises: Collect at least one weather data of outdoor air temperature and humidity, atmospheric pressure, wind speed, wind direction, and total radiation; The predicted power supply required in the next time series is predicted based on the weather data, and the power supply size of the storage warehouse is adjusted according to the predicted power supply.

6. The method according to claim 5, characterized in that The control method further comprises: Based on the weather data, and in combination with the temperature set, humidity set, meteorological factor set and power load set of the surrounding area of ​​the storage bin in the current time series, the temperature prediction value set, humidity prediction value set, meteorological factor prediction value set and power load prediction value set of the next time series are predicted; The predicted power supply in the next time series is calculated based on the temperature prediction value set, the humidity prediction value set, the meteorological factor prediction value set and the power load prediction value set.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a control program of the photovoltaic fresh-keeping system, and when the control program of the photovoltaic fresh-keeping system is executed by the processor, the steps of the control method of the photovoltaic fresh-keeping system according to any one of claims 4 to 6 are implemented.

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