A method and system for night-time light supplementation based on photovoltaic tea cultivation

Abstract

The present invention discloses a method and system for nighttime lighting compensation based on photovoltaic tea cultivation, belonging to the technical field of tea cultivation. It includes that the data storage center module is used to store the operation parameters of lighting devices and light intensity sensors, divide the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces to generate a set of control objects; the data processing center module performs configuration matrix characterization processing on the set of control objects for lighting compensation control behaviors to generate a Boolean matrix; the control update center module is used to update the Boolean matrix before making the current lighting compensation control behavior and analyze the relevance of the lighting compensation control behavior; the control analysis center module is used to calculate the light reception uniformity in the tea photovoltaic shed under the influence of the Boolean matrix, and control the startup of the lighting devices through the relevance and the light reception uniformity; the present invention can intelligently control the operation parameters of the supplementary lights in the case of a failure of the supplementary lights to maximize the light reception uniformity in the tea photovoltaic shed.

Description

Technical Field

[0001] The present invention relates to the technical field of tea planting, and specifically to a method and system for nocturnal light supplement for photovoltaic tea planting. Background Art

[0002] Since tea trees are plants that tolerate weak light, and their growth cycle and quality are affected by light conditions, by installing supplementary lights in the tea garden and using solar power generation to provide power for the supplementary lights, a light source can be provided for the tea trees at night to promote the growth and development of the tea trees;

[0003] In view of this, the uniform distribution and reasonable light intensity of the supplementary lights are key influencing factors for improving the tea yield and quality. However, as electrical equipment, the supplementary lights will inevitably malfunction during long-term operation, thus affecting the uniformity of light reception in the tea photovoltaic shed. In the prior art, the fault conditions of the supplementary lights are generally regularly checked through manual inspections, making it inevitable that the faulty supplementary lights are not replaced in time, thus affecting the growth and development of the tea trees. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for nocturnal light supplement for photovoltaic tea planting to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solutions:

[0006] A nocturnal light supplement system for photovoltaic tea planting, the system includes: a data storage center module, a data processing center module, a control update center module, and a control analysis center module;

[0007] The data storage center module is equipped with a data storage center, which is used to store the operation parameters of the lighting equipment and light intensity sensors, and is also used to divide the three-dimensional map of the tea photovoltaic shed into local three-dimensional spaces to generate a set of control objects; the data processing center module is equipped with a data processing center, which is used to perform configuration matrix characterization processing on the set of control objects for light supplement control actions, and is also used to generate a Boolean matrix; the control update center module is equipped with a control update center, which is used to identify the current control behavior characteristics at the back end before making the current light supplement control action to update the Boolean matrix, and is also used to analyze the relevance of the light supplement control actions; the control analysis center module is equipped with a control analysis center, which is used to calculate the uniformity of light reception in the tea photovoltaic shed under the influence of the Boolean matrix; it is also used to control the startup of the lighting equipment through the relevance and the uniformity of light reception;

[0008] The data storage center module, the data processing center module, and the control and update center module are sequentially connected in order. The output ends of the data storage center module and the control and update center module are respectively connected to the input end of the control and analysis center module.

[0009] Further, the data storage center module includes an Internet of Things unit and a device classification unit;

[0010] The Internet of Things unit is used to connect the lighting devices and light intensity sensors installed in the tea photovoltaic shed through the Internet of Things and store the operation parameters of the lighting devices and light intensity sensors; the device classification unit divides the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors and counts the lighting devices existing in the local three-dimensional spaces to generate a control object set;

[0011] The output end of the Internet of Things unit is connected to the input end of the device classification unit.

[0012] Further, the data processing center module includes a configuration model unit and a control behavior feature conversion unit;

[0013] The configuration model unit is used to build a night light supplement control configuration matrix model and map the control object set into the night light supplement control configuration matrix model; the control behavior feature conversion unit is used to convert different light supplement control behaviors into Boolean matrices;

[0014] The output end of the configuration model unit is connected to the input end of the control behavior feature conversion unit.

[0015] Further, the control and analysis center module includes a light supplement regulation processing unit and a decision output unit;

[0016] The light supplement regulation processing unit is used to calculate the light receiving uniformity in the tea photovoltaic shed and calculate the light supplement regulation value; the decision output unit selects the Boolean matrix corresponding to the maximum light supplement regulation value and outputs the operation parameters of the lighting devices;

[0017] The output end of the light supplement regulation processing unit is connected to the input end of the decision output unit.

[0018] A method for night light supplement in photovoltaic tea planting, the method includes the following steps:

[0019] Step S1: Install a data storage center, and the data storage center connects the lighting devices and light intensity sensors installed in the tea photovoltaic shed through the Internet of Things and stores the operation parameters of the lighting devices and light intensity sensors;

[0020] Step S2: The data storage center divides the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors, and counts the lighting devices existing in the local three-dimensional spaces to generate a set of control objects;

[0021] Step S3: The data processing center is carried to perform a configuration matrix characterization process on the set of control objects for the supplementary lighting control behavior, and a Boolean matrix with control behavior characteristics is obtained. The control behavior characteristics are the operating states of the lighting devices, and the operating states include a stopped working state and a normal working state;

[0022] Step S4: The control update center is carried. Before making the current supplementary lighting control behavior, the backend identifies the current control behavior characteristics and returns to Step S3 to update the Boolean matrix and analyze the relevance of the supplementary lighting control behavior;

[0023] Step S5: The control analysis center is carried. Based on the influence of the Boolean matrix, the light reception uniformity in the tea photovoltaic shed is calculated; based on the relevance and the light reception uniformity, the lighting devices are controlled to start.

[0024] Further, Step S1 further includes:

[0025] A lighting device and a light intensity sensor are respectively installed in the tea photovoltaic shed. The lighting device is installed on the top of the tea photovoltaic shed and is used to provide a lighting function for the growth of tea in the tea photovoltaic shed. The lighting device has a rotation function to provide lighting function requirements at different angles. The light intensity sensor is installed on the ground in the tea photovoltaic shed and is used to sense the light intensity generated by the lighting device in the tea photovoltaic shed;

[0026] The lighting device and the light intensity sensor are respectively numbered and recorded in the data storage center.

[0027] Further, the generation method of the set of control objects is as follows:

[0028] When dividing the local three-dimensional space, the number of light intensity sensors is equal to the number of divided local three-dimensional spaces, and one light intensity sensor corresponds to one divided local three-dimensional space, and each local three-dimensional space is independent of each other;

[0029] The j-th lighting device is denoted as , the i-th light intensity sensor is denoted as , and the set of control objects corresponding to the light intensity sensor is denoted as , where represents the total number of lighting devices.

[0030] Further, the configuration matrix characterization process method of the supplementary lighting control behavior is as follows:

[0031] Based on the set of controlled objects, a night light supplement control configuration matrix model is built. The row numbers of the night light supplement control configuration matrix model correspond to the coding numbers of the light intensity sensors, and the column numbers of the night light supplement control configuration matrix model correspond to the coding numbers of the lighting devices; based on the ith light intensity sensor and the set of controlled objects and the jth lighting device recorded in the set of controlled objects , the matrix element in the ith row and jth column of the night light supplement control configuration matrix model is denoted as ;

[0032] During the xth light supplement control, obtain the operating status of the lighting device. If the lighting device is in the stopped working state, then set the matrix element . If the lighting device is in the normal working state, then set the matrix element . Then, convert the night light supplement control configuration matrix model generated corresponding to the xth light supplement control into a Boolean matrix.

[0033] Furthermore, the process of analyzing the relevance of the light supplement control behavior is as follows:

[0034] Before making the current light supplement control behavior, the control update center respectively identifies the lighting devices in the current stopped working state and normal working state, and records the updated Boolean matrix as ;

[0035] Calculate the relevance of the light supplement control behavior. The calculation formula is as follows:

[0036] ;

[0037] In the formula, represents the Boolean matrix generated corresponding to the xth light supplement control, represents the relevance of the light supplement control behavior under the influence of the Boolean matrix and the Boolean matrix , represents the number of 1s obtained by the logical AND operation of the Boolean matrix and the Boolean matrix , represents the number of 1s obtained by the logical OR operation of the Boolean matrix and the Boolean matrix .

[0038] Furthermore, the startup method of the controlled lighting device is as follows:

[0039] Based on the Boolean matrix , and retrieve the operating parameters of the light intensity sensor generated by the x-th supplementary lighting control. The operating parameters of the light intensity sensor are the light intensity values collected by the light intensity sensor, and calculate the light reception uniformity in the tea photovoltaic shed. The calculation formula is as follows:

[0040] ;

[0041] In the formula, represents the light reception uniformity in the tea photovoltaic shed under the influence of the Boolean matrix , represents the operating parameters of the i-th light intensity sensor , represents the mean value of the operating parameters of the light intensity sensor, represents the standard deviation of the operating parameters of the light intensity sensor, and I represents the total number of light intensity sensors;

[0042] Calculate the supplementary lighting regulation value ;

[0043] Select the Boolean matrix corresponding to the maximum supplementary lighting regulation value , and control the lighting equipment representing the normal working state within the Boolean matrix to start according to the operating parameters stored in the data storage center;

[0044] According to the above method, the maximization of the light reception uniformity in the tea photovoltaic shed is affected by two levels of factors. The first-level factor is the failure condition of the lighting equipment. To maximize the light reception uniformity in the tea photovoltaic shed under the influence of the first-level factor, it is necessary to consider the light intensity distribution uniformity in the tea photovoltaic shed collected by the light intensity sensor. The greater the relevance of the supplementary lighting control behavior does not necessarily mean the greater the light reception uniformity in the tea photovoltaic shed. The relevance of the supplementary lighting control behavior can be used to calibrate similar historical supplementary lighting regulation behaviors, and the supplementary lighting regulation value can be calibrated from similar historical supplementary lighting regulation behaviors through the light reception uniformity in the tea photovoltaic shed.

[0045] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In a method and system for night-time lighting compensation based on photovoltaic tea cultivation provided by the present invention, a data storage center module is used to store the operating parameters of lighting devices and light intensity sensors, divide the three-dimensional view of the tea photovoltaic shed into local three-dimensional spaces to generate a set of control objects; a data processing center module performs configuration matrix characterization processing on the set of control objects for lighting compensation control actions to generate a Boolean matrix; a control update center module is used to update the Boolean matrix before making the current lighting compensation control action and analyze the relevance of the lighting compensation control action; a control analysis center module is used to calculate the light reception uniformity in the tea photovoltaic shed under the influence of the Boolean matrix, and control the startup of the lighting devices through the relevance and the light reception uniformity; the present invention can intelligently control the operating parameters of the supplementary light in the case of a failure of the supplementary light to maximize the light reception uniformity in the tea photovoltaic shed. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

[0047] Figure 1 It is a schematic diagram of the steps of a method for night-time lighting compensation based on photovoltaic tea cultivation according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] In the first embodiment: A night-time lighting compensation system based on photovoltaic tea cultivation is provided. The system includes: a data storage center module, a data processing center module, a control update center module, and a control analysis center module;

[0050] The data storage center module is equipped with a data storage center, which is used to store the operating parameters of lighting devices and light intensity sensors, and is also used to divide the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces to generate a set of control objects; the data processing center module is equipped with a data processing center, which is used to perform configuration matrix characterization processing on the set of control objects for supplementary lighting control behavior, and is also used to generate a Boolean matrix; the control update center module is equipped with a control update center, which is used to identify the current control behavior characteristics at the backend before making the current supplementary lighting control behavior to update the Boolean matrix, and is also used to analyze the relevance of the supplementary lighting control behavior; the control analysis center module is equipped with a control analysis center, which is used to calculate the light reception uniformity in the tea photovoltaic shed under the influence of the Boolean matrix; it is also used to control the startup of lighting devices through the relevance and light reception uniformity;

[0051] The data storage center module, the data processing center module, and the control update center module are sequentially connected in series, and the output ends of the data storage center module and the control update center module are respectively connected to the input end of the control analysis center module;

[0052] The data storage center module includes an Internet of Things unit and a device classification unit;

[0053] The Internet of Things unit is used to connect lighting devices and light intensity sensors installed in the tea photovoltaic shed through the Internet of Things and store the operating parameters of the lighting devices and light intensity sensors; the device classification unit divides the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors and counts the lighting devices existing in the local three-dimensional spaces to generate a set of control objects;

[0054] The output end of the Internet of Things unit is connected to the input end of the device classification unit;

[0055] The data processing center module includes a configuration model unit and a control behavior feature conversion unit;

[0056] The configuration model unit is used to build a configuration matrix model for night supplementary lighting control and map the set of control objects into the configuration matrix model for night supplementary lighting control; the control behavior feature conversion unit is used to convert different supplementary lighting control behaviors into a Boolean matrix;

[0057] The output end of the configuration model unit is connected to the input end of the control behavior feature conversion unit;

[0058] The control analysis center module includes a supplementary lighting regulation processing unit and a decision output unit;

[0059] The supplementary light control processing unit is used to calculate the light reception uniformity in the tea photovoltaic shed and calculate the supplementary light control value; the decision-making output unit selects the Boolean matrix corresponding to the maximum supplementary light control value and outputs the operating parameters of the lighting equipment.

[0060] The output end of the supplementary light control processing unit is connected to the input end of the decision-making output unit.

[0061] Please refer to Figure 1 , in the second embodiment: A method for supplementary light at night based on photovoltaic tea planting is provided to be applied to a system for supplementary light at night based on photovoltaic tea planting of the present invention. The method includes the following steps:

[0062] Step S1: Install a data storage center. The data storage center is connected to the lighting equipment and light intensity sensors installed in the tea photovoltaic shed through the Internet of Things and stores the operating parameters of the lighting equipment and light intensity sensors.

[0063] Exemplarily, lighting equipment and light intensity sensors are respectively installed in the tea photovoltaic shed. The lighting equipment is installed on the top of the tea photovoltaic shed to provide lighting functions for the growth of tea in the tea photovoltaic shed, and the lighting equipment has a rotation function to meet the lighting function requirements at different angles. The light intensity sensor is installed on the ground in the tea photovoltaic shed to sense the light intensity generated by the lighting equipment in the tea photovoltaic shed.

[0064] The lighting equipment and light intensity sensors are respectively numbered and recorded in the data storage center.

[0065] Step S2: The data storage center divides the three-dimensional stereogram of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors, and counts the lighting equipment existing in the local three-dimensional spaces to generate a control object set.

[0066] Exemplarily, the generation method of the control object set is as follows:

[0067] When dividing the local three-dimensional spaces, the number of light intensity sensors is equal to the number of divided local three-dimensional spaces, and one light intensity sensor corresponds to one divided local three-dimensional space, and each local three-dimensional space is independent of each other.

[0068] The j-th lighting equipment is denoted as , the i-th light intensity sensor is denoted as , and the control object set corresponding to the light intensity sensor is denoted as , where represents the total number of lighting equipment.

[0069] Step S3: Equip with a data processing center, perform configuration matrix characterization processing on the control object set for the supplementary lighting control behavior, and obtain a Boolean matrix with control behavior characteristics. The control behavior characteristics are the operating states of lighting devices, and the operating states include a stopped working state and a normal working state;

[0070] Exemplarily, the configuration matrix characterization processing method for the supplementary lighting control behavior is as follows:

[0071] Based on the control object set, build a night supplementary lighting control configuration matrix model. The row numbers of the night supplementary lighting control configuration matrix model correspond to the coding numbers of light intensity sensors, and the column numbers of the night supplementary lighting control configuration matrix model correspond to the coding numbers of lighting devices; Based on the i-th light intensity sensor generate a control object set and the j-th lighting device recorded in the control object set , denote the matrix element in the i-th row and j-th column of the night supplementary lighting control configuration matrix model as ;

[0072] At the x-th supplementary lighting control, obtain the operating state of the lighting device. If the lighting device is in the stopped working state, then make the matrix element , if the lighting device is in the normal working state, then make the matrix element , and then convert the night supplementary lighting control configuration matrix model corresponding to the x-th supplementary lighting control into a Boolean matrix.

[0073] Step S4: Equip with a control update center. Before making the current supplementary lighting control behavior, the backend identifies the current control behavior characteristics and returns to Step S3 to update the Boolean matrix and analyze the relevance of the supplementary lighting control behavior;

[0074] Exemplarily, the relevance analysis process of the supplementary lighting control behavior is as follows:

[0075] Before making the current supplementary lighting control behavior, the control update center respectively identifies the lighting devices in the current stopped working state and normal working state, and denotes the updated Boolean matrix as ;

[0076] Calculate the relevance of the supplementary lighting control behavior. The calculation formula is as follows:

[0077] ;

[0078] In the formula, represents the Boolean matrix corresponding to the x-th supplementary lighting control, represents in the Boolean matrix and the Boolean matrix Relevance of supplementary lighting control behavior under influence Represents a Boolean matrix and the Boolean matrix The number of 1s obtained under the logical AND operation Represents a Boolean matrix and the Boolean matrix The number of 1s obtained under the logical OR operation

[0079] Step S5: Install a control analysis center. The control analysis center calculates the light reception uniformity in the tea photovoltaic shed based on the influence of the Boolean matrix; based on the relevance and the light reception uniformity, controls the startup of the lighting equipment

[0080] The startup mode of the lighting equipment is as follows

[0081] Based on the Boolean matrix corresponding to the xth supplementary lighting control , and retrieves the operating parameters of the light intensity sensor generated by the xth supplementary lighting control. The operating parameters of the light intensity sensor are the light intensity values collected by the light intensity sensor, and calculates the light reception uniformity in the tea photovoltaic shed. The calculation formula is as follows

[0082] ;

[0083] In the formula Represents the light reception uniformity in the tea photovoltaic shed under the influence of the Boolean matrix , Represents the ith light intensity sensor 's operating parameters Represents the mean value of the operating parameters of the light intensity sensor Represents the standard deviation of the operating parameters of the light intensity sensor. I represents the total number of light intensity sensors

[0084] Calculate the supplementary lighting regulation value ;

[0085] Select the Boolean matrix corresponding to the maximum supplementary lighting regulation value , and control the lighting equipment representing the normal working state within the Boolean matrix to start according to the operating parameters stored in the data storage center

[0086] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0087] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A nighttime lighting supplement method based on photovoltaic tea planting, characterized in that: The method comprises the following steps: Step S1: carrying a data storage center, the data storage center is connected to the lighting equipment and light intensity sensor installed in the tea photovoltaic shed through the Internet of Things, and stores the operating parameters of the lighting equipment and the light intensity sensor; Step S2: the data storage center divides the three-dimensional image of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors, and counts the lighting equipment existing in the local three-dimensional space to generate a control object set; Step S3: Carrying a data processing center, performing configuration matrix characterization processing of the fill light control behavior on the control object set to obtain a Boolean matrix with control behavior characteristics, wherein the control behavior characteristics are the operating status of the lighting equipment, and the operating status includes a stop working status and a normal working status; Step S4: The control update center is equipped. Before making the current fill light control behavior, the back end identifies the current control behavior characteristics, and returns to step S3 to update the Boolean matrix and analyze the correlation of the fill light control behavior; Step S5: carrying a control and analysis center, which calculates the light uniformity in the tea photovoltaic shed based on the influence of the Boolean matrix; and controls the start-up of the lighting equipment based on the correlation and the light uniformity; The control object set is generated in the following manner: When dividing the local three-dimensional space, the number of light intensity sensors is equal to the number of divided local three-dimensional spaces, and one light intensity sensor corresponds to one local three-dimensional space, and each local three-dimensional space is independent of each other; Let the jth lighting device be LS j , the i-th light intensity sensor is recorded as CS i , the light intensity sensor CS i The corresponding control object set is recorded as A(CS i )={LS j |j∈[1,J]}, where J represents the total number of lighting devices; The configuration matrix representation processing method of the fill light control behavior is: Based on the control object set, a nighttime fill light control configuration matrix model is constructed, wherein the row number of the nighttime fill light control configuration matrix model corresponds to the code number of the light intensity sensor, and the column number of the nighttime fill light control configuration matrix model corresponds to the code number of the lighting device; based on the i-th light intensity sensor CS i The generated control object set A(CS i ) and control object set A(CS i ) recorded in the jth lighting equipment LS j , the matrix element in the i-th row and j-th column of the nighttime supplementary light control configuration matrix model is recorded as LS j |A(CS i ); During the xth fill light control, obtain the operating status of the lighting device. If the lighting device LS j If the working state is stopped, let the matrix element LS j |A(CS i )=0, if the lighting equipment LS j For normal working state, let the matrix element LS j |A(CS i )=1, the nighttime fill light control configuration matrix model generated corresponding to the x-th fill light control is converted into a Boolean matrix; The correlation analysis process of the fill light control behavior is as follows: Before making the current fill light control behavior, the control update center identifies the lighting equipment in the current stop working state and the normal working state respectively, and records the updated Boolean matrix as BM; Calculate the correlation of fill light control behavior, the calculation formula is as follows: Where BM x It represents the Boolean matrix generated by the x-th fill light control, DA(BM|BM x ) represents the Boolean matrix BM and the Boolean matrix BM x The correlation of fill light control behavior under the influence of x ) represents the Boolean matrix BM and the Boolean matrix BM x The number of 1s obtained in the logical AND operation, NUM(BM∪BM x ) represents the Boolean matrix BM and the Boolean matrix BM x The number of 1s obtained under the logical OR operation; The starting method of controlling the lighting device is as follows: Based on the Boolean matrix BM generated by the x-th fill light control x , and retrieve the operating parameters of the light intensity sensor generated by the x-th fill light control. The operating parameters of the light intensity sensor are the light intensity values ​​collected by the light intensity sensor. The uniformity of light received in the tea photovoltaic shed is calculated using the following formula: In the formula, U(BM x ) represents the Boolean matrix BM x The uniformity of light received by the tea photovoltaic shed under the influence of LV (CS i ) represents the i-th light intensity sensor CS i The operating parameters of represents the mean of the operating parameters of the light intensity sensor, σ represents the standard deviation of the operating parameters of the light intensity sensor, and I represents the total number of light intensity sensors; Calculate the fill light control value RV(BM x )=DA(BM|BM x )×U(BM x ); Select the Boolean matrix BM corresponding to the maximum fill light control value x , and controls the Boolean matrix BM x The lighting equipment in normal working state represented by the internal is started according to the operating parameters stored in the data storage center.

2. A nighttime light supplement method based on photovoltaic tea planting according to claim 1, characterized in that: The step S1 further comprises: Lighting equipment and light intensity sensors are installed in the tea photovoltaic shed respectively. The lighting equipment is installed on the top of the tea photovoltaic shed to provide lighting for the tea leaves growing in the tea photovoltaic shed, and the lighting equipment has a rotation function to provide lighting function requirements at different angles. The light intensity sensor is installed on the ground in the tea photovoltaic shed to sense the light intensity generated by the lighting equipment in the tea photovoltaic shed; Lighting equipment and light intensity sensors are uniformly numbered and recorded in the data storage center.

3. A nighttime light supplement system based on photovoltaic tea planting, which implements a nighttime light supplement method based on photovoltaic tea planting as claimed in claim 1, characterized in that: The system comprises: a data storage center module, a data processing center module, a control update center module and a control analysis center module; The data storage center module is equipped with a data storage center and is used to store the operating parameters of the lighting equipment and the light intensity sensor, and is also used to divide the three-dimensional image of the tea photovoltaic shed into local three-dimensional space to generate a control object set; the data processing center module is equipped with a data processing center and is used to perform configuration matrix characterization processing of the fill light control behavior on the control object set, and is also used to generate a Boolean matrix; the control update center module is equipped with a control update center and is used to identify the current control behavior characteristics at the back end before making the current fill light control behavior to update the Boolean matrix, and is also used to analyze the correlation of the fill light control behavior; the control analysis center module is equipped with a control analysis center and is used to calculate the light uniformity in the tea photovoltaic shed under the influence of the Boolean matrix; and is also used to control the start-up of the lighting equipment through the correlation and light uniformity; The data storage center module, the data processing center module and the control update center module are connected in sequence, and the output ends of the data storage center module and the control update center module are respectively connected to the input end of the control analysis center module.

4. A nighttime lighting system based on photovoltaic tea planting according to claim 3, characterized in that: The data storage center module includes an Internet of Things unit and a device classification unit; The Internet of Things unit is used to connect the lighting equipment and light intensity sensors installed in the tea photovoltaic shed through the Internet of Things, and store the operating parameters of the lighting equipment and the light intensity sensors; the equipment classification unit divides the three-dimensional image of the tea photovoltaic shed into local three-dimensional spaces based on the number of light intensity sensors, and counts the lighting equipment existing in the local three-dimensional space to generate a control object set; The output end of the Internet of Things unit is connected to the input end of the device classification unit.

5. The nighttime lighting system based on photovoltaic tea planting according to claim 3 is characterized in that: The data processing center module includes a configuration model unit and a control behavior feature conversion unit; The configuration model unit is used to build a nighttime fill light control configuration matrix model and map the control object set into the nighttime fill light control configuration matrix model; the control behavior feature conversion unit is used to convert different fill light control behaviors into a Boolean matrix; The output end of the configuration model unit is connected to the input end of the control behavior feature conversion unit.

6. The nighttime lighting system based on photovoltaic tea planting according to claim 3 is characterized in that: The control and analysis center module includes a fill light control processing unit and a decision output unit; The supplementary light control processing unit is used to calculate the uniformity of light received in the tea photovoltaic shed and calculate the supplementary light control value; The decision output unit selects the Boolean matrix corresponding to the maximum fill light control value and outputs the operating parameters of the lighting device; The output end of the fill light control processing unit is connected to the input end of the decision output unit.

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