Park energy-saving management method, park energy-saving management system, controller and medium

Abstract

The application discloses a park energy-saving management and control method, a park energy-saving management and control system, a controller and a medium, and relates to the technical field of park energy-saving control. The method comprises the following steps: obtaining a photovoltaic power generation prediction value by predicting daily weather prediction data of a region where a park is located; obtaining human flow density information, outdoor light intensity and soil humidity values; determining an initial lighting instruction by performing light judgment processing according to the human flow density information and the outdoor light intensity; determining an initial irrigation instruction by performing irrigation judgment processing according to the human flow density information and the soil humidity values; performing instruction updating processing on the initial lighting instruction and the initial irrigation instruction according to the daily weather prediction data, the photovoltaic power generation prediction value and a current state of charge of an energy storage module in a photovoltaic energy supply module, and determining a comprehensive scheduling instruction; and controlling the working states of a lighting execution module and an irrigation execution module according to the comprehensive scheduling instruction. Energy optimization scheduling can be realized in the park, so that energy saving and carbon emission reduction are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of park energy-saving control, and in particular to a park energy-saving management and control method, a park energy-saving management and control system, a controller and a medium. BACKGROUND

[0002] At present, the landscape facilities in the park are often single-function and lack of synergy. At the same time, the operation and maintenance management of the park landscape facilities relies on manual work, which is low in efficiency, resulting in energy waste and increased carbon emissions. Therefore, how to realize the optimal scheduling of energy in the park, achieve energy saving and reduce carbon emissions is a technical problem to be solved. SUMMARY

[0003] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application provides a park energy-saving management and control method, a park energy-saving management and control system, a controller and a medium, which can realize the optimal scheduling of energy in the park, thereby achieving energy saving and reducing carbon emissions.

[0004] In a first aspect, the embodiments of the present application provide a park energy-saving management and control method applied to a controller of a park energy-saving management and control system, wherein the park energy-saving management and control system comprises: a controller, a photovoltaic power supply module electrically connected to the controller, a lighting execution module, an irrigation execution module and an environment sensing module.

[0005] The method comprises:

[0006] Performing power generation prediction processing on the daily weather prediction data of the region where the park is located to obtain a photovoltaic power generation prediction value corresponding to the daily weather prediction data;

[0007] Obtaining human flow density information, outdoor light intensity and soil humidity value through the environment sensing module;

[0008] Performing light judgment processing according to the human flow density information and the outdoor light intensity to determine an initial lighting instruction;

[0009] Performing irrigation judgment processing according to the human flow density information and the soil humidity value to determine an initial irrigation instruction;

[0010] Performing instruction updating processing on the initial lighting instruction and the initial irrigation instruction according to the daily weather prediction data, the photovoltaic power generation prediction value and the current state of charge of the energy storage module in the photovoltaic power supply module to determine a comprehensive scheduling instruction;

[0011] Controlling the working state of the lighting execution module and the irrigation execution module according to the comprehensive scheduling instruction.

[0012] In a second aspect, an embodiment of the present application provides a controller, comprising at least one processor and a memory connected to the at least one processor in communication; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the park energy-saving management and control method according to any one of the embodiments of the first aspect.

[0013] In a third aspect, an embodiment of the present application provides a park energy-saving management and control system, comprising the controller according to the embodiments of the second aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores computer-executable instructions for causing a computer to perform the park energy-saving management and control method according to any one of the embodiments of the first aspect.

[0015] In an embodiment of the present application, in the working process of the park energy-saving management and control system, first, the daily weather prediction data of the region where the park is located is acquired to perform power generation prediction processing to obtain a photovoltaic power generation prediction value corresponding to the daily weather prediction data; second, the crowd density information, the outdoor light intensity, and the soil humidity value are acquired through the environment sensing module; third, illumination judgment processing is performed according to the crowd density information and the outdoor light intensity to determine an initial lighting instruction; fourth, irrigation judgment processing is performed according to the crowd density information and the soil humidity value to determine an initial irrigation instruction; fifth, instruction update processing is performed on the initial lighting instruction and the initial irrigation instruction according to the daily weather prediction data, the photovoltaic power generation prediction value, and the current state of charge of the energy storage module in the photovoltaic energy supply module to determine a comprehensive scheduling instruction; and finally, the working state of the lighting execution module and the irrigation execution module is controlled according to the comprehensive scheduling instruction. Through comprehensive decision-making, the energy generated by photovoltaic power generation is optimized and scheduled to control the working state of the lighting execution module and the irrigation execution module, and the distributed devices in the park are more accurately controlled, greatly improving the efficiency and fine level of energy saving and carbon reduction. That is, the embodiment of the present application can realize energy optimization scheduling in the park, thereby realizing energy saving and reducing carbon emissions.

[0016] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 FIG. 1 is a structural schematic diagram of a park energy-saving management and control system according to an embodiment of the present application;

[0018] Figure 2 is a flowchart of a park energy-saving management method provided by an embodiment of the present application;

[0019] Figure 3 is a flowchart of a specific method of step S500 in the embodiment of the present application; Figure 2

[0020] Figure 4 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments.

[0022] It should be noted that although a logical sequence is shown in the flowchart in the description of the present application, the steps shown or described can be performed in a sequence different from that in the flowchart in some cases. In the description of the present application, the meaning of “one or more” is one or more, and the meaning of “multiple” is two or more. The description of “first”, “second” is only for distinguishing technical features for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or the sequence of indicated technical features.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0024] The present application provides a park energy-saving management method, a park energy-saving management system, a controller and a computer readable storage medium, relating to the technical field of park energy-saving control. The method comprises: obtaining a photovoltaic power generation prediction value by predicting daily weather prediction data of a region where a park is located; obtaining human flow density information, outdoor light intensity and soil humidity value; determining an initial lighting instruction by performing light judgment processing according to the human flow density information and the outdoor light intensity; determining an initial irrigation instruction by performing irrigation judgment processing according to the human flow density information and the soil humidity value; performing instruction updating processing on the initial lighting instruction and the initial irrigation instruction according to the daily weather prediction data, the photovoltaic power generation prediction value and the current state of charge of an energy storage module in a photovoltaic energy supply module, to determine a comprehensive scheduling instruction; and controlling the working state of a lighting execution module and an irrigation execution module according to the comprehensive scheduling instruction. Energy optimization scheduling can be realized in the park, thereby realizing energy saving and reducing carbon emissions.

[0025] The embodiments of the present application are further described below in combination with the drawings.

[0026] As​Figure 1 As shown, the park energy-saving management and control system 100 includes: a controller 110, a photovoltaic power supply module 120 electrically connected to the controller 110, a lighting execution module 130, an irrigation execution module 140, and an environmental sensing module 150.

[0027] Specifically, the photovoltaic power supply module 120 includes: a photovoltaic power generation unit, an inverter, and an energy storage module; the photovoltaic power generation unit is connected to the inverter, and the inverter is connected to the energy storage module. Specifically, the photovoltaic power generation unit is used to convert solar energy into electrical energy, the inverter is used to convert direct current (DC) into alternating current (AC) for power distribution, and the energy storage module is used to store the generated electrical energy. Specifically, there are multiple photovoltaic power generation units distributed in different locations within the park; this application does not impose a specific limit on the number of photovoltaic power generation units. Specifically, the types of photovoltaic power generation units include, but are not limited to: photovoltaic rooftops, photovoltaic curtain walls, or photovoltaic pergolas.

[0028] In one embodiment, photovoltaic power generation units are installed on the sunny building facade or roof to make full use of solar energy for power generation. Power generation efficiency is improved by optimizing the interaction between photovoltaic power generation units, and shade-tolerant plants (such as ferns and ivy) can be placed on the shady side to achieve photovoltaic power generation and vertical greening, thereby achieving synergistic improvement in power generation efficiency and carbon sequestration.

[0029] It is understood that the "park" in this application refers to an outdoor park with landscape design. In one embodiment, the park in this application uses rain gardens and permeable paving to solve the problem of waterlogging in areas with abundant rainfall; and reduces building energy consumption by establishing a three-dimensional greening system, using roof gardens and vertical green walls; and enhances carbon sequestration capacity by planting native plant communities, such as banyan trees and kapok trees. In addition, productive carbon sequestration landscape design is implemented in the park, that is, selecting high carbon sequestration economic plants (such as camellia and paper mulberry) suitable for industrial environments to construct a composite system of "productive green space + isolation forest belt". In addition, wind-solar hybrid landscape facilities (photovoltaic corridors + vertical axis wind turbines) are developed in the park to realize the energy utilization of corner spaces in the park.

[0030] Specifically, there are multiple lighting execution modules 130 distributed in different locations within the park. This application does not impose a specific limit on the number of photovoltaic power generation units. Specifically, the lighting execution modules 130 include, but are not limited to: streetlights, emergency lighting, ground lights, decorative lights, etc.

[0031] Specifically, there are multiple irrigation execution modules 140, which are distributed in different locations in the park. This application does not impose a specific limit on the number of irrigation execution modules 140.

[0032] Specifically, the environmental sensing module 150 includes, but is not limited to: a light sensor for detecting ambient light intensity, a pedestrian flow sensor for detecting human activity within the area, and a soil moisture sensor for detecting soil moisture content. Specifically, the pedestrian flow sensor can be a thermal imaging sensor, enabling accurate identification of pedestrian flow and density information within the park.

[0033] Specifically, the controller 110 is used to process the daily weather forecast data for the area where the park is located to predict the power generation, obtaining the photovoltaic power generation prediction value corresponding to the daily weather forecast data; it acquires information on pedestrian density, outdoor light intensity, and soil moisture value through an environmental sensing module; it performs light judgment processing based on pedestrian density information and outdoor light intensity to determine the initial lighting command; it performs irrigation judgment processing based on pedestrian density information and soil moisture value to determine the initial irrigation command; it updates the initial lighting command and initial irrigation command based on the daily weather forecast data, the photovoltaic power generation prediction value, and the current state of charge of the energy storage module in the photovoltaic power supply module, determining the comprehensive scheduling command; and it controls the working status of the lighting execution module and the irrigation execution module according to the comprehensive scheduling command. Through comprehensive decision-making, the energy generated by photovoltaic power generation is optimized and scheduled to control the working status of the lighting execution module and the irrigation execution module, enabling more precise control of distributed equipment in the park, greatly improving the efficiency and precision of energy saving and carbon reduction.

[0034] According to the park energy-saving management and control system 100 provided in the embodiments of this application, the controller 110, photovoltaic power supply module 120, lighting execution module 130, irrigation execution module 140 and environmental sensing module 150 cooperate with each other to realize the park energy-saving management and control method provided in the embodiments of this application, thereby enabling energy optimization scheduling in the park, thereby achieving energy saving and reducing carbon emissions.

[0035] Those skilled in the art will understand that the system structure shown in the figures does not constitute a limitation on the embodiments of this application, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0036] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0037] It will be understood by those skilled in the art that the system architecture and application scenarios described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. It is known by those skilled in the art that with the evolution of system architecture and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0038] Based on the above system structure, the following are various embodiments of the energy-saving management method for industrial parks proposed in this application.

[0039] Firstly, such as Figure 2 As shown, the energy-saving management method of this park can be applied to, for example... Figure 1 The controller of the park energy-saving management system shown includes: a controller, a photovoltaic power supply module electrically connected to the controller, a lighting execution module, an irrigation execution module, and an environmental sensing module; the park energy-saving management method may include, but is not limited to, steps S100 to S600.

[0040] Step S100: Process the daily weather forecast data of the area where the park is located to predict the power generation, and obtain the photovoltaic power generation prediction value corresponding to the daily weather forecast data.

[0041] Step S200: Obtain information on pedestrian density, outdoor light intensity, and soil moisture through the environmental sensing module.

[0042] Step S300: Perform illumination judgment processing based on pedestrian density information and outdoor light intensity to determine the initial lighting instruction.

[0043] Step S400: Based on the pedestrian density information and soil moisture value, perform irrigation judgment processing to determine the initial irrigation instruction.

[0044] Step S500: Based on the daily weather forecast data, the photovoltaic power generation forecast value, and the current state of charge of the energy storage module in the photovoltaic power supply module, update the initial lighting command and the initial irrigation command to determine the comprehensive dispatch command.

[0045] Step S600: Control the working status of the lighting execution module and the irrigation execution module according to the comprehensive scheduling instructions.

[0046] Specifically, the daily weather forecast data includes: the daily sunshine intensity forecast curve and the sunshine / rain forecast. The daily sunshine intensity forecast curve represents the correspondence between the detection time and the sunshine intensity within the day. The sunshine / rain forecast indicates the period of rainfall for the day.

[0047] Specifically, the environmental sensing module includes: a light sensor, a pedestrian flow sensor, and a soil moisture sensor. In step S200, specifically, pedestrian flow density information is obtained through the pedestrian flow sensor, outdoor light intensity is obtained through the light sensor, and soil moisture value is obtained through the soil moisture sensor.

[0048] Specifically, the current state of charge of the energy storage module in the photovoltaic power supply module refers to:

[0049] Through steps S100 to S600 provided in the embodiments of this application, during the operation of the park energy-saving management system, firstly, the daily weather forecast data of the park area is processed to predict the power generation, resulting in a photovoltaic power generation forecast value corresponding to the daily weather forecast data; secondly, the system obtains pedestrian density information, outdoor light intensity, and soil moisture value through an environmental sensing module; then, it performs light judgment processing based on pedestrian density information and outdoor light intensity to determine the initial lighting instruction; next, it performs irrigation judgment processing based on pedestrian density information and soil moisture value to determine the initial irrigation instruction; then, based on the daily weather forecast data, the photovoltaic power generation forecast value, and the current state of charge of the energy storage module in the photovoltaic power supply module, it performs instruction update processing on the initial lighting instruction and the initial irrigation instruction to determine the comprehensive scheduling instruction; finally, it controls the working status of the lighting execution module and the irrigation execution module according to the comprehensive scheduling instruction. By optimizing the scheduling of energy generated by photovoltaic power generation through comprehensive decision-making, the working status of lighting and irrigation execution modules can be controlled, and the distributed equipment in the park can be controlled more precisely, which greatly improves the efficiency and precision of energy saving and carbon reduction. Therefore, the embodiments of this application can realize energy optimization scheduling in the park, thereby achieving energy saving and carbon emission reduction.

[0050] According to some embodiments of this application, step S100 is further described. Step S100 performs power generation prediction processing on the obtained daily weather forecast data of the area where the park is located to obtain the photovoltaic power generation prediction value corresponding to the daily weather forecast data, including but not limited to steps S110 to S120.

[0051] Step S110: Obtain the daily weather forecast data for the area where the park is located; wherein, the daily weather forecast data includes: the daily light intensity forecast curve; the daily light intensity forecast curve is used to characterize the correspondence between the detection time and the light intensity within the day.

[0052] In this step, by connecting the controller to the local meteorological bureau's open data platform or a meteorological information search engine, it is possible to obtain the daily weather forecast data for the area where the park is located in a timely manner; this lays the foundation for subsequent power generation forecasting. This application does not impose specific restrictions on the method of obtaining the daily weather forecast data.

[0053] Step S120: Input the daily solar intensity prediction curve into the pre-trained power generation prediction model for power generation prediction processing to obtain the photovoltaic power generation prediction value corresponding to the daily solar intensity prediction curve; wherein, the power generation prediction model is obtained by training the model using historical weather data and photovoltaic power generation dataset as training sets.

[0054] In this step, the power generation prediction model is pre-trained. This application will not elaborate on the training process or the specific model structure of the power generation prediction model, as long as the power generation prediction model can predict the corresponding photovoltaic power generation value based on the solar irradiance prediction curve of the day.

[0055] Through steps S110 to S120, the predicted value of photovoltaic power generation of the photovoltaic power supply module for the day can be predicted relatively quickly based on the daily solar intensity prediction curve and power generation prediction model, laying the foundation for subsequent comprehensive decision-making.

[0056] In one embodiment, step S300 is further described as follows: Lighting judgment processing is performed based on pedestrian density information and outdoor light intensity to determine the initial lighting command. The pedestrian density information includes pedestrian density values ​​within each monitoring area; the initial lighting command includes: target lighting brightness, lighting duration, and lighting activation object. The lighting activation object may be a first control object, a second control object, or none.

[0057] Specifically, step S300 includes:

[0058] Step S310: When the outdoor light intensity is greater than or equal to the preset light intensity threshold, it is determined that the lighting execution module does not need to be started. That is, the target lighting brightness, lighting duration and lighting start object in the initial lighting instruction are set to 0, and then the initial lighting instruction is generated.

[0059] Step S320: When the outdoor light intensity is less than the preset light intensity threshold, obtain the pedestrian density value of each monitoring area from the pedestrian density information, determine the monitoring area with the pedestrian density value greater than or equal to the preset density threshold as the first lighting area, determine the lighting execution module in the first lighting area as the first control object, determine the target lighting brightness of the first lighting start object as the first brightness and the lighting duration as the first duration, and then generate the initial lighting command.

[0060] Step S330: When the outdoor light intensity is less than the preset light intensity threshold, the monitoring area where the pedestrian density value is less than the preset density threshold is determined as the second lighting area, the lighting execution module in the second lighting area is determined as the second control object, the target lighting brightness of the second control object is determined as the second brightness, and the lighting duration is determined as the second duration, wherein the second brightness is less than the first brightness and the second duration is less than the first duration, and then an initial lighting command is generated.

[0061] Thus, through step S300, the lighting execution module can be deactivated when the ambient light intensity is sufficient, thereby saving energy; when the ambient light intensity is insufficient, the lighting execution module can be activated; and further, based on the information of pedestrian density and outdoor light intensity, a comprehensive decision can be made to achieve more accurate intelligent lighting control, thereby achieving the effect of supplementing light when there are many people and reducing light when there are few people to achieve energy saving.

[0062] In one embodiment, step S400 is further described as follows: Irrigation judgment processing is performed based on pedestrian density information and soil moisture value to determine the initial irrigation instruction. Specifically, the pedestrian density information includes: pedestrian density values ​​in each monitoring area; the initial irrigation instruction includes: target irrigation volume, spray radius, and irrigation initiation target; wherein, the irrigation initiation target is a third control target, a fourth control target, or is empty.

[0063] Specifically, step S400 includes:

[0064] Step S410: If the soil moisture value is greater than or equal to the preset moisture threshold, then determine that the irrigation execution module will not be started, that is, set the target irrigation amount to 0 and the irrigation start object to be empty, and then generate the initial irrigation command.

[0065] Step S420: When the soil moisture value is less than a preset moisture threshold, obtain the population density value of each monitoring area from the population density information, determine the monitoring area where the population density value is less than the preset density threshold as the first irrigation area, determine the irrigation execution module in the first irrigation area as the third control object, determine the target irrigation amount of the third control object as the first irrigation amount, and the spraying radius as the first radius. The first irrigation amount is negatively correlated with the soil moisture value in the first irrigation area. The smaller the soil moisture value, the larger the first irrigation amount. This application does not restrict the value of the first irrigation amount. Then, generate the initial irrigation instruction.

[0066] Step S430: When the soil moisture value is less than a preset moisture threshold, the monitoring area with a human flow density value greater than or equal to a preset density threshold is determined as the second irrigation area. The irrigation execution module within the second irrigation area is determined as the fourth control object. The target irrigation amount of the fourth control object is determined as the second irrigation amount, and the spraying radius is determined as the second radius, wherein the second radius is smaller than the first radius. The second irrigation amount is negatively correlated with the soil moisture value within the second irrigation area; the smaller the soil moisture value, the larger the second irrigation amount. This application does not restrict the value of the second irrigation amount. Then, an initial irrigation instruction is generated.

[0067] Thus, step S400 enables energy saving by not activating the irrigation execution module when the soil moisture value is sufficient; when the soil moisture value is insufficient, the irrigation execution module is activated, and further, based on pedestrian density information and soil moisture value, a comprehensive decision is made to achieve more accurate intelligent irrigation control. When the pedestrian density is high, the spray radius can be reduced to avoid splashing water on pedestrians, and when the pedestrian density is low, the spray radius can be increased to achieve rapid water replenishment. Furthermore, the target irrigation amount is determined based on the soil moisture value to achieve intelligent irrigation and reduce energy waste.

[0068] According to some embodiments of this application, the daily weather forecast data also includes sunny / rainy forecasts; combined with Figure 3 Further explanation of step S500: Based on the weather forecast data of the day, the forecast value of photovoltaic power generation and the current state of charge of the energy storage module in the photovoltaic power supply module, the initial lighting command and the initial irrigation command are updated to determine the comprehensive dispatch command, including but not limited to steps S510 to S520.

[0069] Step S510: When the weather forecast indicates that there will be rainfall on the day, the initial lighting instruction is updated first based on the photovoltaic power generation forecast and the current state of charge to obtain the target lighting instruction, and a comprehensive scheduling instruction is generated based on the target lighting instruction.

[0070] In this step, it is understood that if the weather forecast indicates rainfall on a given day, irrigation of the landscaped areas within the park is unnecessary. Even if the decision in step S400 determines an initial irrigation command requiring a non-zero target irrigation volume, rainfall will replenish the water, so repeated irrigation is unnecessary; in this case, only the initial lighting command needs to be considered. After updating the initial lighting command to the target lighting command, a comprehensive scheduling command is obtained that includes only the target lighting command. If the comprehensive scheduling command only includes the target lighting command, all irrigation execution modules will not be activated.

[0071] It is understandable that when there is rain or cloud cover during the day and the lighting conditions are poor, the photovoltaic power generation unit can still work and generate electricity, but the power generation capacity is reduced and the amount of electricity produced is reduced. Therefore, this application requires the prediction of photovoltaic power generation and the judgment of related lighting control even on cloudy or rainy days.

[0072] Step S520: During the period when the weather forecast indicates no rainfall on the day, based on the photovoltaic power generation forecast and the current state of charge, the initial lighting instruction is updated first to obtain the target lighting instruction, and the initial irrigation instruction is updated second to obtain the target irrigation instruction. The execution priority between the target lighting instruction and the target irrigation instruction is determined. A comprehensive scheduling instruction is generated based on the target lighting instruction, the target irrigation instruction, and the execution priority.

[0073] In this step, the current state of charge refers to the current remaining power ratio of the energy storage module that is paired with the photovoltaic power supply module. It is usually expressed as a percentage. For example, if the current state of charge = 80%, it means that there is still 80% of the power remaining in the energy storage module.

[0074] In this step, it can be understood that if the weather forecast indicates no rainfall on a given day, it means that irrigation may be needed for the landscape areas within the park, and the specifics should be referenced from the initial irrigation instructions. Therefore, after updating the initial lighting instructions to the target lighting instructions and the initial irrigation instructions to the target irrigation instructions, a comprehensive scheduling instruction including the target lighting instructions and the target irrigation instructions is generated.

[0075] According to some embodiments of this application, the first instruction update instruction in steps S510 and S520 is further described, wherein the initial lighting instruction is updated first to obtain the target lighting instruction, including but not limited to steps S521 to S523.

[0076] Step S521: If the predicted value of photovoltaic power generation is greater than or equal to the preset power generation threshold, the initial lighting instruction is determined as the target lighting instruction.

[0077] In this step, if the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, that is, if the sunshine is good and the power generation is sufficient, the initial lighting command in the initial plan can be executed directly. There is no need to reduce the target lighting brightness or lighting duration in order to save energy. The initial lighting command is directly determined as the target lighting command.

[0078] Step S522: If the predicted value of photovoltaic power generation is less than the preset power generation threshold, determine the state level corresponding to the current state of charge based on the comparison result between the current state of charge and the preset threshold information.

[0079] In this step, specifically, the preset threshold information includes: a first threshold, a second threshold, and a third threshold; the first threshold is greater than the second threshold, and the second threshold is greater than the third threshold; the status levels include: a first level, a second level, a third level, and a fourth level.

[0080] According to some embodiments of this application, in step S522: the state level corresponding to the current state of charge is determined based on the comparison result between the current state of charge and the preset threshold information, including but not limited to steps S5221 to S5224.

[0081] Step S5221: If the comparison result indicates that the current state of charge is greater than or equal to the first threshold, the state level is determined to be the first level. The first level indicates that the remaining charge is very sufficient.

[0082] Step S5222: If the comparison result indicates that the current state of charge is less than the first threshold and greater than or equal to the second threshold, the state level is determined to be the second level. The second level indicates that the remaining charge is generally sufficient.

[0083] Step S5223: If the comparison result indicates that the current state of charge is less than the second threshold and greater than or equal to the third threshold, the state level is determined to be the third level. The second level indicates that the remaining charge is generally insufficient.

[0084] Step S5224: If the comparison result indicates that the current state of charge is less than the third threshold, determine the state level as the fourth level. The fourth level indicates that the remaining charge is very low.

[0085] It is understood that the values ​​of the first threshold, the second threshold, and the third threshold are all between 1% and 100%, and the first threshold, the second threshold, and the third threshold can be preset. This application does not impose specific restrictions on the values ​​of the first threshold, the second threshold, and the third threshold.

[0086] Step S523: Update the initial lighting command to the target lighting command according to the status level.

[0087] Specifically, step S523 includes, but is not limited to, the following steps:

[0088] Step S5231: When the status level is Level 1, determine that the remaining power is sufficient and determine the first illumination adjustment coefficient; multiply the target illumination brightness and illumination duration in the initial illumination command by the first illumination adjustment coefficient to obtain the updated target illumination brightness and updated illumination duration, and generate a target illumination command that includes the updated target illumination brightness and updated illumination duration. Specifically, when the first illumination adjustment coefficient is 100%, it is equivalent to not reducing the target illumination brightness and illumination duration, and retaining the original initial illumination command.

[0089] Step S5232: When the status level is level two, it is determined that the remaining power is generally sufficient. A second illumination adjustment coefficient is determined, which is less than the first illumination adjustment coefficient. The target illumination brightness and illumination duration in the initial illumination command are multiplied by the second illumination adjustment coefficient to obtain the updated target illumination brightness and updated illumination duration. A target illumination command including the updated target illumination brightness and updated illumination duration is then generated. In one embodiment, the second illumination adjustment coefficient is 75%.

[0090] Step S5233: When the status level is level three, it is determined that the remaining power is generally insufficient. A third illumination adjustment coefficient is determined, which is less than the second illumination adjustment coefficient. The target illumination brightness and illumination duration in the initial illumination command are multiplied by the third illumination adjustment coefficient to obtain the updated target illumination brightness and updated illumination duration. A target illumination command including the updated target illumination brightness and updated illumination duration is then generated. In one embodiment, the third illumination adjustment coefficient is 50%.

[0091] Step S5233: When the status level is level four, it is determined that the remaining power is very insufficient. A third illumination adjustment coefficient is determined, which is less than the second illumination adjustment coefficient. The target illumination brightness and illumination duration in the initial illumination command are multiplied by the third illumination adjustment coefficient to obtain the updated target illumination brightness and updated illumination duration. A target illumination command including the updated target illumination brightness and updated illumination duration is then generated. In one embodiment, the fourth adjustment command is 25%.

[0092] According to some embodiments of this application, step S520 is further described, wherein the initial irrigation instruction is subjected to a second update process to obtain the target irrigation instruction, including but not limited to steps S524 to S526.

[0093] Step S524: If the predicted value of photovoltaic power generation is greater than or equal to the preset power generation threshold, the initial irrigation instruction is determined as the target irrigation instruction.

[0094] In this step, it's understandable that with a large spray radius and a large target irrigation volume, the water pumps, drive motors, and other equipment in the irrigation execution module will operate at high power and for long periods, inevitably resulting in significant energy consumption. If the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, meaning the daily power generation is sufficient, the initial irrigation command should be executed according to the initial plan. There's no need to lower the target irrigation volume or radius for energy conservation; the initial irrigation command should be directly set as the target irrigation command.

[0095] Step S525: If the predicted value of photovoltaic power generation is less than the preset power generation threshold, determine the state level corresponding to the current state of charge based on the comparison result between the current state of charge and the preset threshold information.

[0096] Specifically, the process of determining the state level corresponding to the current state of charge based on the comparison result between the current state of charge and the preset threshold information in step S525 includes steps S5221 to S5224 above; it will not be repeated here.

[0097] Step S526: Update the initial irrigation command to the target irrigation command according to the status level.

[0098] Specifically, step S526 includes, but is not limited to, the following steps:

[0099] Step S5261: When the status level is Level 1, determine that the remaining power is very sufficient and determine the first irrigation adjustment coefficient; multiply the target irrigation amount and spray radius in the initial irrigation command by the first irrigation adjustment coefficient to obtain the updated target irrigation amount and updated spray radius, and generate a target irrigation command that includes the updated target irrigation amount and updated spray radius. Specifically, when the first irrigation adjustment coefficient is 100%, it is equivalent to not reducing the target irrigation amount and spray radius, and retaining the original initial irrigation command.

[0100] Step S5262: When the status level is Level 2, it is determined that the remaining power is generally sufficient. A second irrigation adjustment coefficient is determined, which is less than the first irrigation adjustment coefficient. The target irrigation amount and spray radius in the initial irrigation command are multiplied by the second irrigation adjustment coefficient to obtain the updated target irrigation amount and the updated spray radius. A target irrigation command including the updated target irrigation amount and the updated spray radius is then generated. In one embodiment, the second irrigation adjustment coefficient is 75%.

[0101] Step S5263: When the status level is level three, it is determined that the remaining power is generally insufficient. A third irrigation adjustment coefficient is determined, which is less than the second irrigation adjustment coefficient. The target irrigation amount and spray radius in the initial irrigation command are multiplied by the third irrigation adjustment coefficient to obtain the updated target irrigation amount and the updated spray radius. A target irrigation command including the updated target irrigation amount and the updated spray radius is then generated. In one embodiment, the third irrigation adjustment coefficient is 50%.

[0102] Step S5264: When the status level is level four, it is determined that the remaining power is very insufficient. A fourth irrigation adjustment coefficient is determined, which is less than the third irrigation adjustment coefficient. The target irrigation amount and spray radius in the initial irrigation command are multiplied by the fourth irrigation adjustment coefficient to obtain the updated target irrigation amount and the updated spray radius. A target irrigation command including the updated target irrigation amount and the updated spray radius is then generated. In one embodiment, the fourth irrigation adjustment coefficient is 25%.

[0103] According to some embodiments of this application, step S520 is further described, wherein the execution priority order between the target lighting command and the target irrigation command is determined, including but not limited to steps S527 to S529.

[0104] Step S527: If the predicted value of photovoltaic power generation is greater than or equal to the preset power generation threshold, determine the execution priority between the target lighting command and the target irrigation command as simultaneous execution.

[0105] In this step, if the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, that is, if the power generation on that day is sufficient, and if there are planned target lighting instructions and target irrigation instructions that are sufficient to be executed simultaneously, then the target lighting instructions and target irrigation instructions have the same execution priority; the execution priority order is determined to be simultaneous execution.

[0106] Step S528: If the predicted value of photovoltaic power generation is less than the preset power generation threshold, determine the execution priority order according to the state level corresponding to the current state of charge.

[0107] In this step, if the predicted photovoltaic power generation is less than the preset power generation threshold, i.e. the power generation on that day is poor, the planned target lighting command and target irrigation command may not be sufficient to support the simultaneous execution of the target lighting command and target irrigation command. Therefore, it is necessary to further determine the execution priority based on the status level.

[0108] Specifically, step S528 includes:

[0109] Step S5281: When the status level is Level 1, it is determined that the remaining power is very sufficient, and the execution priority between the target lighting command and the target irrigation command is determined to be executed simultaneously.

[0110] Step S5282: When the status level is level two, three, or four, the execution priority is determined as follows: target lighting command, target irrigation command. That is, when both target lighting and target irrigation commands are planned, the controller prioritizes accessing and executing the target lighting command, and then accesses and executes the target irrigation command. Even if the target lighting brightness, lighting duration, and lighting activation object in the target lighting command are 0, the controller will confirm that it will not operate the lighting execution module before processing the target irrigation command.

[0111] In summary, the park energy-saving management method provided in this application realizes intelligent irrigation management and intelligent lighting control, achieving precise water and energy saving; it can also achieve optimized energy scheduling in the park, thereby achieving energy saving and reducing carbon emissions.

[0112] Specifically, step S600 is further explained as follows: The working states of the lighting execution module and the irrigation execution module are controlled according to the comprehensive scheduling instruction. When the comprehensive scheduling instruction only includes a target lighting control instruction, the working state of the lighting execution module is controlled only according to the target lighting control instruction; in this case, the irrigation execution module remains powered off. When the comprehensive scheduling instruction includes a target lighting control instruction, a target irrigation instruction, and an execution priority order, the working state of the lighting execution module is controlled according to the target lighting control instruction, and the working state of the irrigation execution module is controlled according to the target irrigation instruction, following the execution priority order.

[0113] It should be noted that when the target lighting brightness, lighting duration, and lighting initiation object in the target lighting command are 0, the lighting execution module is in standby or off state. When the target lighting brightness, lighting duration, and lighting initiation object in the target lighting command are not 0, the lighting execution module is in lighting state. Similarly, when the target irrigation amount in the target irrigation command is 0 and irrigation initiation object is empty, the irrigation execution module is in standby or off state. When the target irrigation amount, irrigation initiation object, and irrigation execution module is in irrigation state.

[0114] like Figure 4 As shown, the present invention also provides a controller, comprising:

[0115] The processor 401 can be implemented using a general-purpose central processing unit (CPU), microprocessor, application specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0116] The memory 402 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 402 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 402 and called and executed by the processor 401 using the campus energy-saving management method of the embodiments of this application.

[0117] Input / output interface 403 is used to implement information input and output;

[0118] The communication interface 404 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0119] Bus 405 transmits information between various components of the device (e.g., processor 401, memory 402, input / output interface 403, and communication interface 404);

[0120] The processor 401, memory 402, input / output interface 403 and communication interface 404 are connected to each other within the device via bus 405.

[0121] This application also provides an energy-saving management and control system for a park, including the controller described above.

[0122] This application embodiment also provides a storage medium, which is a computer-readable storage medium, storing a computer program that, when executed by a processor, implements the above-mentioned park energy-saving management method.

[0123] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate, and may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0124] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0125] The above provides a detailed description of the preferred embodiments of this application. However, this application is not limited to the above-described embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by this application.

Claims

1. A method for energy-saving management and control in a park, characterized in that, A controller is used in an energy-saving management system for a park, the energy-saving management system for a park includes: a controller, a photovoltaic power supply module, a lighting execution module, an irrigation execution module and an environmental sensing module electrically connected to the controller; The method includes: The photovoltaic power generation forecast value corresponding to the daily weather forecast data of the park area is obtained by performing power generation forecast processing on the daily weather forecast data. The environmental sensing module acquires information on pedestrian density, outdoor light intensity, and soil moisture. Based on the pedestrian density information and the outdoor light intensity, a light judgment process is performed to determine the initial lighting command; Based on the population density information and the soil moisture value, an irrigation judgment is made to determine the initial irrigation instruction; Based on the daily weather forecast data, the photovoltaic power generation forecast, and the current state of charge of the energy storage module in the photovoltaic power supply module, the initial lighting command and the initial irrigation command are updated to determine the comprehensive dispatch command. The working status of the lighting execution module and the irrigation execution module is controlled according to the comprehensive scheduling command; The daily weather forecast data includes rain and sunshine forecasts. The process of updating the initial lighting and irrigation commands based on the daily weather forecast data, the photovoltaic power generation forecast, and the current state of charge of the energy storage module in the photovoltaic power supply module to determine a comprehensive scheduling command includes: during periods when the rain and sunshine forecast indicates no rainfall, performing a first update on the initial lighting command to obtain a target lighting command, and performing a second update on the initial irrigation command to obtain a target irrigation command, and determining the execution priority between the target lighting command and the target irrigation command; and generating the comprehensive scheduling command based on the target lighting command, the target irrigation command, and the execution priority. Determining the execution priority between the target lighting command and the target irrigation command includes: If the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, the execution priority between the target lighting command and the target irrigation command is determined to be simultaneous execution; If the predicted photovoltaic power generation is less than the preset power generation threshold, the execution priority order is determined according to the state level corresponding to the current state of charge.

2. The energy-saving management and control method for industrial parks according to claim 1, characterized in that, The step involves updating the initial lighting and irrigation commands based on the daily weather forecast data, the predicted photovoltaic power generation, and the current state of charge of the energy storage module in the photovoltaic power supply module, to determine the comprehensive dispatch command, including: When the weather forecast indicates that there will be rainfall on a given day, the initial lighting instruction is updated based on the predicted photovoltaic power generation and the current state of charge to obtain the target lighting instruction, and the integrated scheduling instruction is generated based on the target lighting instruction.

3. The energy-saving management and control method for industrial parks according to claim 2, characterized in that, The first update process of the initial lighting command to obtain the target lighting command includes: If the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, the initial lighting instruction will be determined as the target lighting instruction. If the predicted value of photovoltaic power generation is less than the preset power generation threshold, the state level corresponding to the current state of charge is determined based on the comparison result between the current state of charge and the preset threshold information. The initial lighting command is updated to the target lighting command based on the state level.

4. The energy-saving management and control method for industrial parks according to claim 2, characterized in that, The second update process of the initial irrigation command to obtain the target irrigation command includes: If the predicted photovoltaic power generation is greater than or equal to the preset power generation threshold, the initial irrigation instruction will be determined as the target irrigation instruction. If the predicted value of photovoltaic power generation is less than the preset power generation threshold, the state level corresponding to the current state of charge is determined based on the comparison result between the current state of charge and the preset threshold information. The initial irrigation command is updated to the target irrigation command based on the status level.

5. The energy-saving management and control method for industrial parks according to claim 3 or 4, characterized in that, The preset threshold information includes: a first threshold, a second threshold, and a third threshold; the first threshold is greater than the second threshold, and the second threshold is greater than the third threshold; the status level includes: a first level, a second level, a third level, and a fourth level; The step of determining the state level corresponding to the current state of charge based on the comparison result between the current state of charge and preset threshold information includes: If the comparison result indicates that the current state of charge is greater than or equal to the first threshold, the state level is determined to be the first level; If the comparison result indicates that the current state of charge is less than the first threshold and greater than or equal to the second threshold, the state level is determined to be the second level; If the comparison result indicates that the current state of charge is less than the second threshold and greater than or equal to the third threshold, the state level is determined to be the third level; If the comparison result indicates that the current state of charge is less than the third threshold, the state level is determined to be the fourth level.

6. The energy-saving management and control method for industrial parks according to claim 1, characterized in that, The step of processing the daily weather forecast data for the area where the park is located to predict the power generation, and obtaining the photovoltaic power generation prediction value corresponding to the daily weather forecast data, includes: Obtain the daily weather forecast data for the area where the park is located; wherein, the daily weather forecast data includes: the daily light intensity forecast curve; the daily light intensity forecast curve is used to characterize the correspondence between the detection time and the light intensity within the day; The predicted solar irradiance curve for the day is input into a pre-trained power generation prediction model for power generation prediction processing to obtain the predicted photovoltaic power generation value corresponding to the predicted solar irradiance curve for the day; wherein, the power generation prediction model is obtained by training the model using historical weather data and photovoltaic power generation dataset as training sets.

7. A controller, characterized in that, It includes at least one processor and a memory for communicatively connecting to the at least one processor; the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform the park energy-saving management method as described in any one of claims 1 to 6.

8. A park energy-saving management and control system, characterized in that, Includes the controller as described in claim 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the energy-saving management method for the park as described in any one of claims 1 to 6.

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