Intelligent photovoltaic lamp illumination control method and system

Abstract

The invention relates to an intelligent photovoltaic lamp illumination control method and system, and relates to the field of light illumination technology, and the method comprises the steps: obtaining the residual storage power of a photovoltaic lamp; constructing a detection interval and determining a date weather type of each date; determining feasible supplementary electric quantity according to the date and weather type; determining interval consumed electric quantity according to the detection duration and the single-day consumed electric quantity; determining the overall residual electric quantity according to the residual storage electric quantity, the feasible supplementary electric quantity and the interval consumed electric quantity; defining the detection interval of which the overall residual electric quantity is less than zero as a power-off interval, and defining the minimum detection duration in the power-off interval as a power-off duration; judging whether the power-off duration is greater than a theoretical required duration or not; if not, the photovoltaic lamp is controlled to work in the required lighting time period of the date corresponding to the current time point, and the required lighting time period is within the overall lighting time period. The photovoltaic lamp has the effect of improving the overall use effect of the photovoltaic lamp.

Description

Technical Field

[0001] The present application relates to the field of lighting technology, and in particular to an intelligent photovoltaic lamp lighting control method and system. Background Art

[0002] Photovoltaic lights are mainly composed of several important parts, such as solar panels, batteries, controllers and light sources. Solar panels can convert the received sunlight into electrical energy, and then store the electrical energy in batteries through the controller. When night falls or when there is insufficient light, the controller will automatically switch the circuit to release the battery to power the light source, thus achieving the lighting function.

[0003] At present, the usage scenarios of photovoltaic lamps include parks, squares, campuses and other areas that need to be illuminated at night. They can create a good atmosphere and achieve the purpose of energy saving and environmental protection.

[0004] In the above-mentioned related technologies, when insufficient light weather occurs continuously and the battery of the photovoltaic lamp cannot be replenished, it is easy for the photovoltaic lamp to illuminate normally in the first few days to provide a normal lighting environment and then become completely unusable in the next few days. This will result in poor use of the photovoltaic lamp and there is still room for improvement. Summary of the invention

[0005] In order to improve the overall use effect of photovoltaic lamps, the present application provides an intelligent photovoltaic lamp lighting control method and system.

[0006] In a first aspect, the present application provides an intelligent photovoltaic lamp lighting control method, which adopts the following technical solution: An intelligent photovoltaic lamp lighting control method, comprising: Obtain the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp; On the preset time axis, a detection interval with a random detection duration is established starting from the date corresponding to the current time point, and the weather type of each date is determined in the detection interval according to the photovoltaic lamp installation area; Determine the feasible supplementary power corresponding to the weather type of the date according to the preset supplementary matching relationship; The power consumption in the interval is determined by calculating based on the detection time and the preset daily power consumption; The overall remaining power is determined by calculating the remaining stored power, the feasible supplementary power and the interval consumption power; The detection interval in which the overall remaining power is less than zero is defined as the power-off interval, and the minimum detection duration in the power-off interval is defined as the power-off duration; Determine whether the power outage duration is greater than the preset theoretical demand duration; If the power outage duration is longer than the theoretical required duration, the photovoltaic lamp is controlled to operate during the preset overall lighting time period of the date corresponding to the current time point; If the power outage duration is not greater than the theoretical required duration, the photovoltaic lamp is controlled to operate in the preset required lighting time period of the date corresponding to the current time point, wherein the required lighting time period is within the overall lighting time period.

[0007] Optionally, a step of determining a supplementary matching relationship is further included, the step comprising: On the time axis, a collection interval with a width of a preset collection duration is established with the date corresponding to the current time point as the rear end point, and a concurrent interval is determined on the time axis according to the collection interval, and the collection interval and the concurrent interval are jointly defined as a valid interval; Get the actual weather type and actual power replenishment for each date within the valid period; The actual supplementary power obtained under the same actual weather type is summarized to determine a supplementary power set, and an actual supplementary power is randomly selected from the supplementary power set as a first supplementary power, and the remaining actual supplementary power is defined as a second supplementary power; Calculating according to the first supplementary power and all the second supplementary power to determine the power representative parameter, and defining the first supplementary power corresponding to the power representative parameter with the largest value as the effective representative power; Calculate the effective range based on the effective representative power and the preset similar power, and calculate the average of the actual supplementary power in the supplementary power set within the effective range to determine the type of supplementary power; A replenishment matching relationship is established based on the actual weather type and the corresponding type of replenishment power.

[0008] Optionally, after the power representative parameter is determined, the intelligent photovoltaic lamp lighting control method further includes: Determine whether there are at least two first replenishment capacities with the same power representative parameters and the largest value; If there are not at least two first supplementary electric quantities with the same and largest electric quantity representative parameters, defining the effective representative electric quantity according to the first supplementary electric quantity corresponding to the largest electric quantity representative parameter; If there are at least two first supplementary electric quantities with the same and largest electric quantity representative parameters, the first supplementary electric quantity corresponding to the largest electric quantity representative parameter is defined as an alternative representative electric quantity, and a calculation is performed based on the alternative representative electric quantity and similar electric quantities to determine an alternative range; The actual supplementary electricity within the candidate range in the supplementary electricity set is defined as the reference supplementary electricity, and the date of obtaining the reference supplementary electricity is defined as the data reference date; Determine the time interval between dates based on the date corresponding to the current time point and the data reference date, and determine the valid reference parameters corresponding to the time interval between dates based on a preset valid matching relationship; The mean value is calculated based on each effective reference parameter to determine the mean reference parameter, and the candidate representative power corresponding to the mean reference parameter with the largest value is defined as the effective representative power.

[0009] Optionally, after the type of supplementary power is determined, the intelligent photovoltaic lamp lighting control method further includes: The difference between the feasible supplementary electricity and the actual supplementary electricity on each date under the same actual weather type in the effective period is calculated to determine the predicted deviation electricity; Calculate the average value of each predicted deviation power to determine the average deviation power; The type supplementary power is corrected by calculating the mean deviation power and the type supplementary power.

[0010] Optionally, the method further includes a step of determining an overall lighting time period, the step comprising: Get the actual opening time and closing time of each date in the collection interval; An opening time range is constructed according to each actual opening time, and a closing time range is constructed according to each actual closing time; Determine the opening interval length according to the current time point and the opening time range, and determine the closing interval length according to the current time point and the closing time range; Get the external environment brightness at the current time point; When the external environment brightness is lower than the preset reference required brightness and the on-time interval is lower than the preset reference interval for the first time, the corresponding time point is defined as the required on-time point; When the external environment brightness is not less than the benchmark demand brightness and the closing interval is less than the benchmark interval for the first time after the demand-on time point, the corresponding time point is defined as the demand-off time point, and the overall lighting time period is constructed with the demand-on time point and the demand-off time point as endpoints.

[0011] Optionally, the method further includes a step of determining a required lighting time period, the step comprising: Get the specific installation location of the photovoltaic lamp; The impact area is defined with the specific installation location as the center and the preset impact distance as the radius, and the regional shooting image is obtained according to the shooting device in the impact area; When the preset human feature does not exist in the regional captured image for the first time after the preset theoretical earliest time point and the preset reference time length is maintained, the corresponding time point is defined as the theoretical closing time point; Determine whether the theoretical closing time point is later than the preset theoretical latest time point; If the theoretical closing time point is not later than the theoretical latest time point, the demand lighting time period is constructed with the demand opening time point and the theoretical closing time point as endpoints; If the theoretical closing time point is later than the theoretical latest time point, the demand lighting time period is constructed with the demand opening time point and the theoretical latest time point as endpoints.

[0012] In the second aspect, the present application provides an intelligent photovoltaic lighting control system, which adopts the following technical solutions: An intelligent photovoltaic lamp lighting control system, comprising: An acquisition module is used to acquire the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a detection interval with a random detection duration on a preset time axis with the date corresponding to the current time point as the starting point, and determines the weather type of each date in the detection interval according to the photovoltaic lamp installation area; The processing module determines the feasible supplementary power corresponding to the date weather type according to the preset supplementary matching relationship; The processing module calculates the power consumption in the interval according to the detection time and the preset daily power consumption; The processing module calculates the overall remaining power according to the remaining storage power, the feasible supplementary power and the interval consumption power; The processing module defines a detection interval in which the overall remaining power is less than zero as a power-off interval, and defines a minimum detection duration in the power-off interval as a power-off duration; The judgment module judges whether the power-off duration is greater than the preset theoretical required duration; If the judging module determines that the power outage duration is longer than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset overall lighting time period of the date corresponding to the current time point; If the judgment module determines that the power outage duration is not greater than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset required lighting time period of the date corresponding to the current time point, where the required lighting time period is within the overall lighting time period.

[0013] In a third aspect, the present application provides a computer storage medium capable of storing corresponding programs, which has the characteristics of improving the overall use effect of photovoltaic lamps, and adopts the following technical solutions: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned intelligent photovoltaic lamp lighting control methods.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: During the use of photovoltaic lamps, the remaining power of the photovoltaic lamps and subsequent weather conditions are analyzed, so that the operation of the photovoltaic lamps can be controlled according to the operating time of the photovoltaic lamps, so as to make the photovoltaic lamps illuminate during the time periods actually needed, thereby improving the overall use effect of the photovoltaic lamps; based on the historical weather conditions of the areas where the photovoltaic lamps are installed, the actual amount of power that can be used to charge the photovoltaic lamps can be predicted and analyzed, so as to improve the accuracy and rationality of subsequent photovoltaic lamp control operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the intelligent photovoltaic lamp lighting control method.

[0016] Figure 2 It is a module flow chart of the intelligent photovoltaic lamp lighting control method. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0019] The present application embodiment discloses a smart photovoltaic lamp lighting control method, referring to Figure 1 The method flow of the intelligent photovoltaic lamp lighting control method includes the following steps: Step S100: Obtain the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp.

[0020] The photovoltaic lamp installation area is the area where the photovoltaic lamps to be controlled are installed, which can be divided into counties; the remaining stored power is the remaining power of the battery that powers the photovoltaic lamps, which can be determined by installing a power monitoring module in the battery.

[0021] Step S101: establishing a detection interval with a random detection duration on a preset time axis starting from the date corresponding to the current time point, and determining the weather type of each date in the detection interval according to the photovoltaic lamp installation area.

[0022] The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time points that have passed to the time points that have not yet arrived, and the left side of the coordinate axis is the time points that have passed, and the left side of the coordinate axis is defined as the front; the detection duration is a fixed duration set by the staff, and the fixed duration is in units of integer days; the detection interval is the interval after the date corresponding to the current time point. By constructing the detection interval, the data within the detection duration can be obtained, which is convenient for subsequent analysis; the date weather type is the type of weather on each date, such as cloudy, sunny to cloudy, light rain, etc., which can be determined by connecting to the weather forecast system.

[0023] Step S102: Determine the feasible supplementary power corresponding to the date weather type according to the preset supplementary matching relationship.

[0024] The feasible amount of electricity to be replenished is the amount of electricity that will theoretically replenish the battery in a day under the weather type of that date. Different weather types on different dates have different corresponding feasible amounts of electricity to be replenished due to different lighting conditions. The replenishment matching relationship between the two can be determined in advance by the staff based on multiple tests, or it can be determined based on the method of steps S200-S205.

[0025] Step S103: Calculate the interval power consumption according to the detection time and the preset daily power consumption.

[0026] The daily power consumption is the amount of electricity that the photovoltaic lamp needs to consume when performing lighting operations according to the overall lighting time period, where the overall lighting time period is the period from dusk to dawn. The daily consumption can be determined based on the amount of electricity consumed by the photovoltaic lamp when it last operated in the overall lighting time period. The interval power consumption is the overall amount of electricity required when the daily power consumption is performed within the detection time, which is determined by multiplying the detection time by the daily power consumption.

[0027] Step S104: Calculate the total remaining power according to the remaining stored power, the available supplementary power and the interval consumed power.

[0028] The overall remaining power is the remaining power of the battery after the detection period, which can be determined by adding the remaining storage power to the daily feasible replenishment power minus the interval consumption power. When the remaining storage power plus the current feasible replenishment power exceeds 100%, it is calculated as 100%.

[0029] Step S105: defining a detection interval in which the overall remaining power is less than zero as a power-off interval, and defining a minimum detection duration in the power-off interval as a power-off duration.

[0030] When the overall remaining power is less than zero, it means that the operation requirements in the detection interval cannot be met. At this time, the power-off interval and power-off duration are defined to distinguish different data for subsequent analysis.

[0031] Step S106: Determine whether the power outage duration is greater than a preset theoretical required duration.

[0032] The theoretical required duration is the minimum power-off duration set by the staff to determine whether the photovoltaic lamp can operate normally. The purpose of the judgment is to find out whether the photovoltaic lamp will be short of power and affect normal operation.

[0033] Step S1061: If the power outage duration is longer than the theoretical required duration, the photovoltaic lamp is controlled to operate in a preset overall lighting time period of the date corresponding to the current time point.

[0034] When the power outage duration is longer than the theoretical required duration, it means that the photovoltaic lamp has sufficient power and can operate according to the overall lighting time period.

[0035] Step S1062: If the power outage duration is not greater than the theoretical required duration, the photovoltaic lamp is controlled to operate in the preset required lighting time period of the date corresponding to the current time point, wherein the required lighting time period is within the overall lighting time period.

[0036] When the power outage duration is not greater than the theoretical required duration, it indicates that there is a subsequent shortage of electricity, so power saving operations need to be started now; the required lighting time period is the time period from dark to when basically no one in the area needs to use the photovoltaic lamps. For example, if dark is at 17:00 and the park closes at 21:00, the required lighting time period can be determined as 17:00-21:00, and the specific required lighting time period can also be determined according to the method of steps S600-S6032.

[0037] The method further includes a step of determining a supplementary matching relationship, the step comprising: Step S200: Establish a collection interval with a preset collection duration on the time axis with the date corresponding to the current time point as the rear end point, and determine the same period interval on the time axis according to the collection interval, and define the collection interval and the same period interval together as a valid interval.

[0038] The collection duration is the duration set by the staff to reflect the same sunshine duration as the current date, for example, 20 days. By constructing the collection interval, it is convenient to obtain and analyze the data within the collection duration; the same period interval is a time interval in different years but with the same date as the collection interval. By defining the valid interval, it is convenient to conduct a comprehensive analysis of each interval.

[0039] Step S201: obtaining the actual weather type and the actual replenishment power of each date in the effective interval.

[0040] The actual weather type is the actual type of the current weather on each date, and the actual replenished power is the actual amount of power replenished to the battery on each date.

[0041] Step S202: Summarize the actual replenishment power obtained under the same actual weather type to determine a replenishment power set, randomly select an actual replenishment power in the replenishment power set as the first replenishment power, and define the remaining actual replenishment power as the second replenishment power.

[0042] By summarizing the replenishment power set, the corresponding data under the same actual weather type can be collected for easy analysis; at the same time, the first replenishment power and the second replenishment power are defined to distinguish different actual replenishment powers.

[0043] Step S203: Calculate and determine a power representative parameter according to the first supplemented power and all the second supplemented power, and define the first supplemented power corresponding to the power representative parameter with the largest value as the effective representative power.

[0044] The power representative parameter is a parameter that reflects the distance between the current first supplementary power and each second supplementary power. The larger the value, the closer the first supplementary power is to each second supplementary power, that is, the first supplementary power can represent the actual situation of each second supplementary power. The calculation formula of the power representative parameter is: ,in is the representative parameter of electric quantity, are fixed parameters used for calculation, To replenish the first battery, For the A second charge, is the total amount of all second replenishment electricity; by defining the effective representative electricity, the data that best represents all actual replenishment electricity is distinguished to facilitate subsequent analysis.

[0045] Step S204: performing calculations based on the effective representative power and the preset similar power to determine the effective range, and performing average calculations based on the actual supplementary power in the supplementary power set within the effective range to determine the type of supplementary power.

[0046] The similar electric quantity is the maximum difference allowed between the electric quantity that is determined by the staff to be not much different from the effective representative electric quantity and the effective representative electric quantity. The effective range of the electric quantity that is relatively close to the effective representative electric quantity can be determined by adding and subtracting the similar electric quantity from the effective representative electric quantity. The type of supplementary electric quantity is the electric quantity that will be supplemented under theoretical circumstances in this type of weather, and is determined by calculating the average value of the actual supplementary electric quantity within the effective range.

[0047] Step S205: construct a replenishment matching relationship based on the actual weather type and the corresponding type of replenishment power.

[0048] The relationship between weather type and replenishment power can be learned through the actual weather type and the corresponding type of replenishment power, so that the replenishment matching relationship can be constructed under the current sunshine duration.

[0049] After the power representative parameter is determined, the intelligent photovoltaic lamp lighting control method further includes: Step S300: Determine whether there are at least two first replenishment capacities with the same and maximum power representative parameters.

[0050] The purpose of the judgment is to find out whether there are multiple first supplementary powers that meet the requirements, so as to facilitate the subsequent determination of the effective range.

[0051] Step S3001: If there are not at least two first supplementary electric powers with the same electric power representative parameter and the largest electric power representative parameter, define the effective representative electric power according to the first supplementary electric power corresponding to the largest electric power representative parameter.

[0052] When there are not at least two first supplementary electric quantities with the same and largest electric quantity representative parameters, it means that there is only one first supplementary electric quantity that meets the requirements, and it can be defined as the effective representative electric quantity.

[0053] Step S3002: If there are at least two first supplementary electric powers with the same and largest electric power representative parameters, define the first supplementary electric power corresponding to the largest electric power representative parameter as an alternative representative electric power, and perform calculations based on the alternative representative electric power and similar electric powers to determine an alternative range.

[0054] When there are at least two first supplementary powers with the same and largest power representative parameters, it means that there are multiple first supplementary powers that meet the requirements. At this time, they are defined as alternative representative powers to distinguish different first supplementary powers, which is convenient for subsequent analysis; the alternative range is the range obtained by subtracting and adding similar powers from the alternative representative powers.

[0055] Step S301: defining the actual supplementary power within the candidate range in the supplementary power set as the reference supplementary power, and defining the date of obtaining the reference supplementary power as the data reference date.

[0056] Define the reference replenishment power and data reference date to distinguish different data for subsequent analysis.

[0057] Step S302: determining the time interval between dates according to the date corresponding to the current time point and the data reference date, and determining valid reference parameters corresponding to the time interval between dates according to a preset valid matching relationship.

[0058] The duration between dates is the duration between two dates, and the effective reference parameter is the reference value of the data. The larger the value, the more meaningful the data is for reference in the current situation. Different durations between dates indicate different distances in time, and the corresponding effective reference parameters are also different. The effective matching relationship between the two is determined by the staff through multiple tests in advance. It only needs to be ensured that the larger the duration between dates, the smaller the corresponding effective reference parameter.

[0059] Step S303: performing mean calculation according to each valid reference parameter to determine the mean reference parameter, and defining the candidate representative power corresponding to the mean reference parameter with the largest value as the valid representative power.

[0060] The mean reference parameter is the average value of all valid reference parameters. When the mean reference parameter is the largest, it means that the determined data is of the greatest reference significance. In this case, the corresponding candidate representative power can be defined as the valid representative power.

[0061] After the type of supplementary power is determined, the intelligent photovoltaic lamp lighting control method also includes: Step S400: performing difference calculation based on feasible replenishment power and actual replenishment power on each date under the same actual weather type in the effective interval to determine the predicted deviation power.

[0062] The predicted deviation electricity is the difference between the electricity predicted to be replenished on a single date and the electricity actually replenished, and is determined by subtracting the feasible replenishment electricity from the actual replenishment electricity.

[0063] Step S401: Calculate the mean value of each predicted deviation power quantity to determine the mean deviation power quantity.

[0064] The mean deviation power is the average value of all predicted deviation power.

[0065] Step S402: Calculate the type supplementary power according to the mean deviation power and the type supplementary power to correct the type supplementary power.

[0066] The type supplementary power can be corrected by adding the mean deviation power to the type supplementary power, so that the determined type supplementary power is more accurate, thereby improving the accuracy of determining the supplementary matching relationship.

[0067] The step of determining the overall lighting time period is also included, and the step comprises: Step S500: Acquire the actual opening time and the actual closing time of each date in the collection interval.

[0068] The actual on time is the time point when the photovoltaic light is turned on on each date, and the actual off time is the time point when the photovoltaic light is turned off on each date. Each time only determines the hour, minute and second, and does not include the date, so as to reduce the impact of subsequent dates on the relationship between each time.

[0069] Step S501: constructing an opening time range according to each actual opening time, and constructing a closing time range according to each actual closing time.

[0070] The on time range is the time range for turning on the photovoltaic lamp, and the range is determined by the earliest actual on time and the latest actual on time as endpoints. The off time range is the time range for turning off the photovoltaic lamp, and the range is determined by the earliest actual off time and the latest actual off time as endpoints.

[0071] Step S502: determining the opening interval length according to the current time point and the opening time range, and determining the closing interval length according to the current time point and the closing time range.

[0072] The opening interval is the shortest distance between the current time point and the opening time range. For example, if the current time point is 16:00 and the opening time range is 17:00-17:15, the corresponding opening interval is 1 hour. Similarly, the closing interval is the shortest distance between the current time point and the closing time range.

[0073] Step S503: Obtain the external environment brightness at the current time point.

[0074] The external environment brightness is the ambient brightness outside the location of the photovoltaic lamp.

[0075] Step S504: when the external environment brightness is lower than the preset reference required brightness and the on-time interval is lower than the preset reference interval for the first time, define the corresponding time point as the required on-time point.

[0076] The benchmark required brightness is the minimum external environment brightness set by the staff to determine that it is not dark yet and the photovoltaic lamp does not need to be used. The benchmark interval time is the maximum turn-on interval time allowed when the current time point is close to the turn-on time range. When the external environment brightness is lower than the benchmark required brightness for the first time and the turn-on interval time is lower than the benchmark interval time, it means that the photovoltaic lamp needs to be used. At this time, it is defined as the required turn-on time point to distinguish different time points, which is convenient for subsequent analysis.

[0077] Step S505: When the external environment brightness is not less than the reference required brightness and the off interval time is less than the reference interval time for the first time after the required on time, the corresponding time point is defined as the required off time point, and the overall lighting time period is constructed with the required on time point and the required off time point as endpoints.

[0078] The benchmark interval time can also reflect the maximum closing interval time allowed when the current time point is close to the closing time range. Therefore, when the external environment brightness is not less than the benchmark required brightness for the first time after the required opening time point and the closing interval time is less than the benchmark interval time, it means that it is daybreak. At this time, the photovoltaic lamp can be turned off. Therefore, it can be defined as the required closing time point. At this time, the operating time period of the photovoltaic lamp can be controlled based on the two time points as endpoints.

[0079] The step of determining the required lighting time period is also included, and the step includes: Step S600: Obtain the specific installation location of the photovoltaic lamp.

[0080] The specific installation position is the actual location of the photovoltaic lamp, which can be manually input in advance by the staff, or determined by installing a positioning module at the photovoltaic lamp.

[0081] Step S601: defining an impact area with the specific installation position as the center and the preset impact distance as the radius, and acquiring a regional shooting image according to a shooting device in the impact area.

[0082] The impact distance is the maximum distance between the photovoltaic lamp and the person who is likely to pass through the area required to be illuminated by the photovoltaic lamp, as set by the staff. By demarcating the impact area, different areas can be distinguished to facilitate subsequent analysis; the shooting device is a camera installed in the area where the photovoltaic lamp is installed, such as a camera in a park, a camera on a campus, etc. The regional shooting image is the image obtained by the shooting device in the impact area.

[0083] Step S602: When the preset human feature does not exist in the regional captured image for the first time after the preset theoretical earliest time point and the preset reference time length is maintained, the corresponding time point is defined as the theoretical closing time point.

[0084] Human features refer to the features when there are people in the image. A recognition model can be built to identify the human features in the image. The benchmark time is the minimum time set by the staff to determine that there are no people in the area. When there is no human feature in the image taken in the area for the first time after the theoretical earliest time point and the benchmark time is maintained, it means that the photovoltaic lamp is unlikely to be used subsequently. At this time, it is possible to shut down the photovoltaic lamp in advance. Therefore, the theoretical shut-down time point is defined to facilitate further analysis.

[0085] Step S603: Determine whether the theoretical closing time point is later than a preset theoretical latest time point.

[0086] The theoretical latest time point is the latest time point set by the staff for early shutdown under theoretical circumstances. For example, taking a campus as an example, it can be set to 12 o'clock in the morning. The purpose of the judgment is to know whether the photovoltaic light can be shut down early compared to the theoretical latest time point.

[0087] Step S6031: If the theoretical closing time point is not later than the theoretical latest time point, a required lighting time period is constructed with the required opening time point and the theoretical closing time point as endpoints.

[0088] When the theoretical closing time point is no later than the theoretical latest time point, it means that the photovoltaic lamp can be turned off in advance. At this time, the required lighting time period can be constructed based on the required opening time point and the theoretical closing time point as endpoints.

[0089] Step S6032: If the theoretical closing time point is later than the theoretical latest time point, a required lighting time period is constructed with the required opening time point and the theoretical latest time point as endpoints.

[0090] When the theoretical closing time point is later than the theoretical latest time point, it means that the photovoltaic lamp cannot be turned off in advance. At this time, the required lighting time period can be constructed based on the required opening time point and the theoretical latest time point as endpoints.

[0091] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides an intelligent photovoltaic lamp lighting control system, including: An acquisition module is used to acquire the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a detection interval with a random detection duration on a preset time axis with the date corresponding to the current time point as the starting point, and determines the weather type of each date in the detection interval according to the photovoltaic lamp installation area; The processing module determines the feasible supplementary power corresponding to the date weather type according to the preset supplementary matching relationship; The processing module calculates the power consumption in the interval according to the detection time and the preset daily power consumption; The processing module calculates the overall remaining power according to the remaining storage power, the feasible supplementary power and the interval consumption power; The processing module defines a detection interval in which the overall remaining power is less than zero as a power-off interval, and defines a minimum detection duration in the power-off interval as a power-off duration; The judgment module judges whether the power-off duration is greater than the preset theoretical required duration; If the judging module determines that the power outage duration is longer than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset overall lighting time period of the date corresponding to the current time point; If the judgment module determines that the power outage duration is not greater than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset required lighting time period of the date corresponding to the current time point, wherein the required lighting time period is within the overall lighting time period; A supplementary matching relationship determination module, used to determine the supplementary matching relationship between weather and power; A first supplementary power screening module, used for screening a plurality of first supplementary power that meet the power representative parameter; A type supplementary power correction module is used to correct the type supplementary power according to the deviation of each power prediction; An overall lighting time period determination module is used to determine the overall lighting time period for photovoltaic lamp operation; The required lighting time period determination module is used to determine the required lighting time period for photovoltaic lamp operation.

[0092] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0093] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a smart photovoltaic lamp lighting control method.

[0094] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

Claims

1. An intelligent photovoltaic lamp lighting control method, characterized in that: include: Obtain the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp; On the preset time axis, a detection interval with a random detection duration is established starting from the date corresponding to the current time point, and the weather type of each date is determined in the detection interval according to the photovoltaic lamp installation area; Determine the feasible supplementary power corresponding to the weather type of the date according to the preset supplementary matching relationship; The power consumption in the interval is determined by calculating based on the detection time and the preset daily power consumption; The overall remaining power is determined by calculating the remaining stored power, the feasible supplementary power and the interval consumption power; The detection interval in which the overall remaining power is less than zero is defined as the power-off interval, and the minimum detection duration in the power-off interval is defined as the power-off duration; Determine whether the power outage duration is greater than the preset theoretical demand duration; If the power outage duration is longer than the theoretical required duration, the photovoltaic lamp is controlled to operate during the preset overall lighting time period of the date corresponding to the current time point; If the power outage duration is not greater than the theoretical required duration, the photovoltaic lamp is controlled to operate in the preset required lighting time period of the date corresponding to the current time point, wherein the required lighting time period is within the overall lighting time period.

2. The intelligent photovoltaic lamp lighting control method according to claim 1, characterized in that: The method further includes a step of determining a supplementary matching relationship, the step comprising: On the time axis, a collection interval with a width of a preset collection duration is established with the date corresponding to the current time point as the rear end point, and a concurrent interval is determined on the time axis according to the collection interval, and the collection interval and the concurrent interval are jointly defined as a valid interval; Get the actual weather type and actual power replenishment for each date within the valid period; The actual supplementary power obtained under the same actual weather type is summarized to determine a supplementary power set, and an actual supplementary power is randomly selected from the supplementary power set as a first supplementary power, and the remaining actual supplementary power is defined as a second supplementary power; Calculating according to the first supplementary power and all the second supplementary power to determine the power representative parameter, and defining the first supplementary power corresponding to the power representative parameter with the largest value as the effective representative power; Calculate the effective range based on the effective representative power and the preset similar power, and calculate the average of the actual supplementary power in the supplementary power set within the effective range to determine the type of supplementary power; A replenishment matching relationship is established based on the actual weather type and the corresponding type of replenishment power.

3. The intelligent photovoltaic lamp lighting control method according to claim 2, characterized in that: After the power representative parameter is determined, the intelligent photovoltaic lamp lighting control method further includes: Determine whether there are at least two first replenishment capacities with the same power representative parameters and the largest value; If there are not at least two first supplementary electric quantities with the same and largest electric quantity representative parameters, defining the effective representative electric quantity according to the first supplementary electric quantity corresponding to the largest electric quantity representative parameter; If there are at least two first supplementary electric quantities with the same and largest electric quantity representative parameters, the first supplementary electric quantity corresponding to the largest electric quantity representative parameter is defined as an alternative representative electric quantity, and a calculation is performed based on the alternative representative electric quantity and similar electric quantities to determine an alternative range; The actual supplementary electricity within the candidate range in the supplementary electricity set is defined as the reference supplementary electricity, and the date of obtaining the reference supplementary electricity is defined as the data reference date; Determine the time interval between dates based on the date corresponding to the current time point and the data reference date, and determine the valid reference parameters corresponding to the time interval between dates based on a preset valid matching relationship; The mean value is calculated based on each effective reference parameter to determine the mean reference parameter, and the candidate representative power corresponding to the mean reference parameter with the largest value is defined as the effective representative power.

4. The intelligent photovoltaic lamp lighting control method according to claim 2, characterized in that: After the type of supplementary power is determined, the intelligent photovoltaic lamp lighting control method also includes: The difference between the feasible supplementary electricity and the actual supplementary electricity on each date under the same actual weather type in the effective period is calculated to determine the predicted deviation electricity; Calculate the average value of each predicted deviation power to determine the average deviation power; The type supplementary power is corrected by calculating the mean deviation power and the type supplementary power.

5. The intelligent photovoltaic lamp lighting control method according to claim 1, characterized in that: The step of determining the overall lighting time period is also included, and the step comprises: Get the actual opening time and closing time of each date in the collection interval; An opening time range is constructed according to each actual opening time, and a closing time range is constructed according to each actual closing time; Determine the opening interval length according to the current time point and the opening time range, and determine the closing interval length according to the current time point and the closing time range; Get the external environment brightness at the current time point; When the external environment brightness is lower than the preset reference required brightness and the on-time interval is lower than the preset reference interval for the first time, the corresponding time point is defined as the required on-time point; When the external environment brightness is not less than the benchmark demand brightness and the closing interval is less than the benchmark interval for the first time after the demand-on time point, the corresponding time point is defined as the demand-off time point, and the overall lighting time period is constructed with the demand-on time point and the demand-off time point as endpoints.

6. The intelligent photovoltaic lamp lighting control method according to claim 5, characterized in that: The step of determining the required lighting time period is also included, and the step includes: Get the specific installation location of the photovoltaic lamp; The impact area is defined with the specific installation location as the center and the preset impact distance as the radius, and the regional shooting image is obtained according to the shooting device in the impact area; When the preset human feature does not exist in the regional captured image for the first time after the preset theoretical earliest time point and the preset reference time length is maintained, the corresponding time point is defined as the theoretical closing time point; Determine whether the theoretical closing time point is later than the preset theoretical latest time point; If the theoretical closing time point is not later than the theoretical latest time point, the demand lighting time period is constructed with the demand opening time point and the theoretical closing time point as endpoints; If the theoretical closing time point is later than the theoretical latest time point, the demand lighting time period is constructed with the demand opening time point and the theoretical latest time point as endpoints.

7. An intelligent photovoltaic lighting control system, characterized in that: include: An acquisition module is used to acquire the photovoltaic lamp installation area and the remaining storage power of the photovoltaic lamp; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a detection interval with a random detection duration on a preset time axis with the date corresponding to the current time point as the starting point, and determines the weather type of each date in the detection interval according to the photovoltaic lamp installation area; The processing module determines the feasible supplementary power corresponding to the date weather type according to the preset supplementary matching relationship; The processing module calculates the power consumption in the interval according to the detection time and the preset daily power consumption; The processing module calculates the overall remaining power according to the remaining storage power, the feasible supplementary power and the interval consumption power; The processing module defines a detection interval in which the overall remaining power is less than zero as a power-off interval, and defines a minimum detection duration in the power-off interval as a power-off duration; The judgment module judges whether the power outage duration is greater than the preset theoretical required duration; If the judging module determines that the power outage duration is longer than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset overall lighting time period of the date corresponding to the current time point; If the judgment module determines that the power outage duration is not greater than the theoretical required duration, the processing module controls the photovoltaic lamp to operate in the preset required lighting time period of the date corresponding to the current time point, where the required lighting time period is within the overall lighting time period.

8. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.

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