Solar power supply system and tree breast diameter measuring instrument

Abstract

The present invention relates to a solar power supply system, comprising: a power supply circuit, which includes a solar power supply, a capacitor charging switch circuit, a super capacitor and a power supply battery; the super capacitor is connected to the charging output end of the solar power supply through the capacitor charging switch circuit; the super capacitor is used to charge the power supply battery; the power supply battery is used to output power supply electric energy; a data acquisition unit is used to collect the working environment parameters of the solar power supply and the input voltage of the super capacitor; a solar energy abundance prediction unit is used to predict the solar energy abundance value according to the working environment parameters of the solar power supply and the input voltage of the super capacitor; a power supply control unit is used to control the capacitor charging switch circuit to be turned on when the solar energy abundance value is greater than the solar energy charging threshold. Compared with the prior art, it can maximize the use of limited solar energy, so that the tree diameter at breast height measuring instrument has a strong endurance while ensuring energy supply.

Description

Technical Field

[0001] The invention relates to the technical field of solar power supply, and in particular to a solar power supply system and a tree breast diameter measuring instrument. Background Art

[0002] The overall planning of forestry requires the measurement and statistics of forest resources. Among them, the tree breast diameter is an important basis for evaluating the quality of forest land and the growth status of forest trees. The accuracy of tree breast diameter measurement directly affects the estimation of breast height cross-sectional area, volume and forest land quality analysis, and is one of the most basic factors in forest surveys. The tree breast diameter usually refers to the diameter of the tree at 1.3m from the root. In traditional measurement methods, most of them are manually measured using 1.3m branches collected locally and combined with calipers, girth rulers, tape measures and other tools. A lot of manpower is required, the overall time span is long, and the measurement efficiency is low. In order to reduce the manual workload and improve the measurement accuracy, there is a tree breast diameter intelligent measuring instrument that can realize the function of automatic data measurement and collection.

[0003] The current tree diameter at breast height intelligent measuring instrument is powered by energy storage batteries, but the power supply of energy storage batteries is limited, which makes the endurance of tree diameter at breast height measuring instruments weak and difficult to meet the requirement of 5-year endurance. As for the use of solar photovoltaic panels for power supply, since most tree diameter at breast height measuring instruments are installed in dense forests with low sunlight, the power generation capacity of solar photovoltaic panels is limited and the energy supply is insufficient. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art and provide a solar power supply system that can maximize the use of limited solar energy, thereby making the tree diameter at breast height measuring instrument have a strong endurance while ensuring energy supply.

[0005] The present invention is implemented by the following technical scheme: a solar power supply system, comprising:

[0006] A power supply circuit, comprising a solar power supply, a capacitor charging switch circuit, a super capacitor and a power supply battery; the super capacitor is connected to the charging output end of the solar power supply through the capacitor charging switch circuit; the super capacitor is used to charge the power supply battery; the power supply battery is used to output power supply energy;

[0007] A data acquisition unit, used for acquiring working environment parameters of the solar power source and input voltage of the supercapacitor;

[0008] A solar energy abundance prediction unit, used to predict a solar energy abundance value according to working environment parameters of the solar power source and an input voltage of the supercapacitor;

[0009] The power supply control unit is used to control the capacitor charging switch circuit to be turned on when the solar energy abundance value is greater than the solar energy charging threshold.

[0010] Compared with the prior art, the present invention provides a solar power supply system that uses a super capacitor as a pre-stage buffer for a power supply battery, thereby increasing the service life of the power supply battery. Through a power supply circuit based on logic control, when the solar power supply system is working normally, the power supply control unit is in an ultra-low power sleep mode most of the time. Only when the solar energy abundance value reaches the threshold of solar energy abundance, the power supply control unit will actively wake up and control each switch circuit in the power supply circuit, thereby maximally reducing the total power consumption of the solar power supply system.

[0011] Furthermore, the power supply circuit further comprises a battery charging switch circuit, and the battery charging switch circuit is connected between the supercapacitor and the power supply battery;

[0012] The data acquisition unit is also used to collect the average discharge voltage of the supercapacitor and the average discharge voltage of the power supply battery;

[0013] The power supply control unit is also used to control the battery charging switch circuit to be turned on when the average discharge voltage of the supercapacitor is greater than the capacitor discharge threshold, the average discharge voltage of the power supply battery is greater than the battery voltage threshold, and the solar energy surplus value is greater than the power generation threshold.

[0014] Furthermore, the power supply circuit also includes a battery-powered switch circuit and a solar-powered switch circuit, wherein the battery-powered switch circuit is connected to the power supply output end of the power supply battery; and the solar-powered switch circuit is connected to the power supply output end of the solar power source;

[0015] The power supply control unit is also used to control the solar power supply switch circuit to be turned on when the solar energy abundance value is greater than the solar power supply threshold; and to control the battery power supply switch circuit to be turned on when the solar energy abundance value is less than the solar power supply threshold.

[0016] Furthermore, the solar power supply system further comprises a timer, and the timer is used to periodically send out a data collection signal;

[0017] The data acquisition unit is also used to perform data acquisition according to the data acquisition signal.

[0018] Furthermore, the capacitor charging switch circuit, the battery charging switch circuit, the battery power supply switch circuit and the solar power supply switch circuit are MOSFET combination control circuits.

[0019] Furthermore, the solar energy abundance prediction unit includes:

[0020] The conversion efficiency coefficient generation module includes:

[0021] The initial coefficient generation submodule is used to randomly generate and encode a number of initial conversion efficiency coefficients for each set of target environmental parameters;

[0022] An adaptation parameter solving submodule, used for solving the corresponding adaptation environment parameter through a fitness function according to each of the initial conversion efficiency coefficients;

[0023] A similarity calculation submodule is used to calculate the similarity between each of the adaptation environment parameters and the target environment parameters to obtain parameter similarity;

[0024] A fitness value calculation submodule, used to obtain a fitness value corresponding to the initial conversion efficiency coefficient according to each of the parameter similarities;

[0025] A screening submodule, used for screening the initial conversion efficiency coefficient according to the fitness value;

[0026] A crossover and mutation submodule, used for performing crossover and mutation processing on the initial conversion efficiency coefficient if the solution of the fitness function has not reached convergence;

[0027] A coefficient determination submodule, for determining the current initial conversion efficiency coefficient as the conversion efficiency coefficient corresponding to the target environmental parameter if the solution of the fitness function reaches convergence;

[0028] A conversion efficiency coefficient acquisition module, used to acquire working environment parameters of the solar power source, and acquire corresponding conversion efficiency coefficients according to the working environment parameters;

[0029] The solar abundance value calculation module is used to obtain the solar abundance value according to the conversion efficiency coefficient and the input voltage of the super capacitor.

[0030] Furthermore, the fitness function is expressed as:

[0031]

[0032] Wherein, K is the conversion efficiency coefficient, G is the adapted light intensity, G max is the maximum light intensity of the solar power source, k is the power generation temperature coefficient, T is the adapted working temperature, T STC is the reference temperature of the solar power source under maximum light intensity.

[0033] Furthermore, the screening submodule is used to screen the initial conversion efficiency coefficient using a selection operator according to the fitness value.

[0034] Furthermore, the selection operator is a roulette selection operator, a random competition selection operator, or a best retention selection operator.

[0035] Based on the same inventive concept, the present invention also provides a tree breast diameter measuring instrument, including a breast diameter measuring system and the above-mentioned solar power supply system, wherein the solar power supply system is used to supply power to the breast diameter measuring system.

[0036] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the structure of a tree diameter at breast height measuring instrument according to an embodiment;

[0038] Figure 2 for Figure 1 The schematic diagram of the structure of the solar energy abundance prediction unit 24 is shown;

[0039] Figure 3 for Figure 1 The flowchart of the solar energy abundance prediction method executed by the solar energy abundance prediction unit 24 is shown. DETAILED DESCRIPTION

[0040] In order to make the objectives, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0041] See also Figure 1 , which is a structural schematic diagram of the tree breast diameter measuring instrument of this embodiment, the tree breast diameter measuring instrument includes a breast diameter measuring system 10 and a solar power supply system 20, wherein the breast diameter measuring system 10 is used to measure the breast diameter of the tree, and the solar power supply system 20 is used to provide electrical energy for the breast diameter measuring system 10.

[0042] Specifically, the solar power supply system 20 includes a power supply circuit 21 , a timer 22 , a data acquisition unit 23 , a solar energy abundance prediction unit 24 and a power supply control unit 25 .

[0043] The power supply circuit 21 includes a solar power source 211 , a capacitor charging switch circuit 212 , a super capacitor 213 , a battery charging switch circuit 214 , a power supply battery 215 , a battery power supply switch circuit 216 and a solar power supply switch circuit 217 .

[0044] The solar power source 211 is used to collect solar energy and convert the collected solar energy into electrical energy. The solar power source 211 includes a charging output terminal and a power supply output terminal. The solar power source 211 can be a monocrystalline silicon photovoltaic panel, a polycrystalline silicon photovoltaic panel or an amorphous silicon photovoltaic panel. In this embodiment, a plurality of parallel amorphous silicon photovoltaic panels are preferably used to increase the power generation current and maximize the absorption of solar energy within the limited volume requirement.

[0045] The capacitor charging switch circuit 212 is connected between the charging output terminal of the solar power source 211 and the super capacitor 213, and is used to control the solar power source 211 to charge the super capacitor 213. When the capacitor charging switch circuit 212 is turned on, the solar power source 211 will charge the super capacitor 213; when the capacitor charging switch circuit 212 is turned off, the solar power source 211 will not be able to charge the super capacitor 213. The on and off of the capacitor charging switch circuit 212 will be controlled by the power supply control unit 25.

[0046] The supercapacitor 213 is an electrochemical device that rapidly stores and supplies high-power electricity. The supercapacitor 213 is used to store the electric energy output by the solar power source 211 and to charge the power supply battery 215 .

[0047] The battery charging switch circuit 214 is connected between the supercapacitor 213 and the power supply battery 215, and is used to control the supercapacitor 213 to charge the power supply battery 215. When the battery charging switch circuit 214 is turned on, the supercapacitor 213 will charge the power supply battery 215; when the battery charging switch circuit 214 is turned off, the supercapacitor 213 will not be able to charge the power supply battery 215. The on and off of the battery charging switch circuit 214 will be controlled by the power supply control unit 25.

[0048] The power supply battery 215 is an energy storage battery, such as a lithium battery, etc., which is used to store the electric energy output by the supercapacitor 213 and output battery power supply electric energy to the breast diameter measurement system 10.

[0049] The battery power switch circuit 216 is connected between the power supply output end of the power supply battery 215 and the breast diameter measurement system 10, and is used to control the discharge of the power supply battery 215. When the battery power switch circuit 216 is turned on, the power supply battery 215 will discharge to provide power for the breast diameter measurement system 10; when the battery power switch circuit 216 is turned off, the power supply battery 215 will stop discharging.

[0050] The solar power supply switch circuit 217 is connected between the power supply output end of the solar power supply 211 and the breast diameter measurement system 10, and is used to control the power supply of the solar power supply 211 to the breast diameter measurement system 10. When the solar power supply switch circuit 217 is turned on, the solar power supply switch circuit 217 will discharge to provide power to the breast diameter measurement system 10; when the solar power supply switch circuit 217 is turned off, the power supply output end of the solar power supply 211 will stop discharging and stop providing power to the breast diameter measurement system 10.

[0051] Therefore, when the power supply circuit 21 is working, the solar power supply 211 converts solar energy into electrical energy, and charges the supercapacitor 213 when the capacitor charging switch circuit 212 is turned on, and provides electrical energy to the breast diameter measurement system 10 when the solar power supply switch circuit 217 is turned on; the supercapacitor 213 charges the power supply battery 215 when the battery charging switch circuit 214 is turned on; the power supply battery 215 provides electrical energy to the breast diameter measurement system 10 when the battery power supply switch circuit 216 is turned on.

[0052] In a specific implementation, the capacitor charging switch circuit 212, the battery charging switch circuit 214, the battery power supply switch circuit 216 and the solar power supply switch circuit 217 are low-power MOSFET combination control circuits.

[0053] The timer 22 is used to send a data acquisition signal when the timing time arrives. The timer 22 can be an RTC timer inside the MCU.

[0054] The data acquisition unit 23 is used to collect the supercapacitor voltage, the power supply battery voltage and the working environment parameters of the solar power source 211, and transmit them to the solar energy abundance prediction unit 24 and the power supply control unit 25. Among them, the supercapacitor voltage includes the input voltage and average discharge voltage of the supercapacitor 213; the power supply battery voltage is the average discharge voltage of the power supply battery 215; and the working environment parameters of the solar power source 211 include the light intensity and working temperature of the solar power source 211. The data acquisition unit 23 can convert the collected analog signal into a digital signal through an ADC (analog-to-digital converter).

[0055] Preferably, the data acquisition unit 23 performs data acquisition according to the data acquisition signal regularly sent by the timer 22. Periodic polling and data acquisition can reduce system power consumption.

[0056] The solar energy abundance prediction unit 24 is used to process data using a solar energy abundance prediction method to obtain a solar energy abundance value. The solar energy abundance prediction unit 24 can be a processor that can execute a computer program, such as an ULP (ultra-low power coprocessor), or a processing device. Figure 2 and Figure 3 ,in, Figure 2 is a schematic structural diagram of the solar energy abundance prediction unit 24 of this embodiment; Figure 3 The figure is a flow chart of the solar energy abundance prediction method executed by the solar energy abundance prediction unit 24. The solar energy abundance prediction unit 24 comprises a conversion efficiency coefficient generation module 241, a conversion efficiency coefficient acquisition module 242 and a solar abundance value calculation module 243.

[0057] The conversion efficiency coefficient generating module 241 is used to execute step S1: generating a corresponding conversion efficiency coefficient for each set of target environmental parameters.

[0058] Each set of target environmental parameters includes a light intensity parameter value or parameter segment and an operating temperature parameter value or parameter segment, and the parameter values ​​or parameter segments of each set of target environmental parameters are different. The conversion efficiency coefficient is the ratio of the actual output current of the solar power source 211 to the theoretical maximum output current. When the solar power source 211 works under different environmental parameters, its corresponding conversion efficiency coefficient will be different, so multiple sets of different target environmental parameters are set, and corresponding conversion efficiency coefficients are generated for each set of target environmental parameters, and stored together in the RTC storage list. Later, the corresponding conversion efficiency coefficient can be directly queried from the RTC storage list according to the real-time environmental parameters without the need for real-time generation.

[0059] Further, the conversion efficiency coefficient generation module 241 includes an initial coefficient generation submodule 2411, an adaptation parameter solution submodule 2412, a similarity calculation submodule 2413, a fitness value calculation submodule 2414, a screening submodule 2415, a crossover mutation submodule 2416 and a coefficient determination submodule 2417. The initial coefficient generation submodule 2411 is used to execute step S11: for each set of target environmental parameters, a number of initial conversion efficiency coefficients are randomly generated and encoded.

[0060] Among them, the initial conversion efficiency coefficient is a candidate conversion efficiency coefficient, and the final conversion efficiency coefficient is obtained by screening from several initial conversion efficiency coefficients. When the initial conversion efficiency coefficient is randomly generated, the value range of the initial conversion efficiency coefficient is constrained to [0,1]. The initial conversion efficiency coefficient is encoded by floating point encoding method.

[0061] The adaptation parameter solving submodule 2412 is used to execute step S12: solving the corresponding adaptation environment parameter through the fitness function according to each initial conversion efficiency coefficient.

[0062] Among them, the fitness function is the relationship function between the conversion efficiency coefficient and the environmental parameters. Substituting the initial conversion efficiency coefficient into the fitness function can solve the corresponding environmental adaptation parameters, which include the adaptive light intensity and the adaptive working temperature. The expression of the fitness function is:

[0063]

[0064] Among them, K is the conversion efficiency coefficient, G is the light intensity to adapt to, G max is the maximum light intensity of the solar power source 211, k is the power generation temperature coefficient, T is the operating temperature, T STC is the reference temperature of the solar power source 211 under the maximum light intensity.

[0065] The similarity calculation submodule 2413 is used to execute step S13: calculate the similarity between each adaptation environment parameter and the target environment parameter to obtain parameter similarity.

[0066] The fitness value calculation submodule 2414 is used to execute step S14: obtaining the fitness value corresponding to the initial conversion efficiency coefficient according to each parameter similarity.

[0067] Among them, the higher the parameter similarity, the higher the fitness value of the corresponding initial conversion efficiency coefficient.

[0068] The screening submodule 2415 is used to execute step S15: screening the initial conversion efficiency coefficient according to the fitness value.

[0069] Among them, the higher the fitness value of the initial conversion efficiency coefficient, the closer it is to the accurate conversion efficiency coefficient. Therefore, when screening, the initial conversion efficiency coefficient with a fitness value higher than a certain threshold is selected, or one or more initial conversion efficiency coefficients with the highest fitness value are selected.

[0070] Preferably, a selection operator is used to screen the initial conversion efficiency coefficient, and the selection operator can be a roulette selection operator, a random competition selection operator, a best retention selection operator, etc.

[0071] The crossover and mutation submodule 2416 is used to execute step S16: if the solution of the fitness function has not reached convergence, crossover and mutation processing is performed on the initial conversion efficiency coefficient.

[0072] The initial conversion efficiency coefficient is cross-processed, that is, the numbers of the random bits in the codes of the two initial conversion efficiency coefficients are exchanged to obtain a new initial conversion efficiency coefficient. The initial conversion efficiency coefficient is mutated, that is, the numbers of the random bits in the codes of the initial conversion efficiency coefficients are randomly transformed into another number to obtain a new initial conversion efficiency coefficient.

[0073] The coefficient determination submodule 2417 is used to execute step S17: if the solution of the fitness function reaches convergence, determine the current initial conversion efficiency coefficient as the conversion efficiency coefficient corresponding to the target environmental parameter.

[0074] The conversion efficiency coefficient acquisition module 242 is used to execute step S2: acquiring the working environment parameters of the solar power source 211, and acquiring the corresponding conversion efficiency coefficient according to the working environment parameters.

[0075] The working environment parameters of the solar power source 211, including light intensity and working temperature, are collected by the data collection unit 23. According to the obtained light intensity and working temperature, a query is performed on the stored corresponding table of working environment parameters and conversion efficiency coefficients to read the corresponding conversion efficiency coefficient.

[0076] The solar abundance value calculation module 243 is used to execute step S3: obtaining the input voltage of the super capacitor, and obtaining the solar abundance value according to the conversion efficiency coefficient and the input voltage of the super capacitor.

[0077] Among them, the expression of solar energy abundance value is obtained according to the conversion efficiency coefficient and the input voltage of the supercapacitor:

[0078] V solar =K·V in

[0079] Among them, V solar is the solar energy abundance value, V in is the input voltage of the supercapacitor.

[0080] The power supply control unit 25 is used to control the power supply circuit 21 according to the average discharge voltage of the supercapacitor and the power supply battery voltage collected by the data collection unit 23 and the solar energy abundance value predicted by the solar energy abundance prediction unit 24 .

[0081] Specifically, the power supply control unit 25 controls the on and off of the capacitor charging switch circuit 212 according to the solar energy abundance value. When the solar energy abundance value is greater than the set solar energy charging threshold, a capacitor charging control signal is sent, and the capacitor charging switch circuit 212 is turned on according to the capacitor charging control signal; when the solar energy abundance value is less than the set solar energy charging threshold, the capacitor charging switch circuit 212 is in a normally closed state.

[0082] The power supply control unit 25 controls the on and off of the battery charging switch circuit 214 according to the average discharge voltage of the supercapacitor, the average discharge voltage of the power supply battery and the solar energy abundance value. When the average discharge voltage of the supercapacitor is greater than the set capacitor discharge threshold, the average discharge voltage of the power supply battery is greater than the set battery voltage threshold and the solar energy abundance value is greater than the set power generation threshold, a battery charging control signal is issued, and the battery charging switch circuit 214 is turned on according to the battery charging control signal; when the average discharge voltage of the supercapacitor is less than the set capacitor discharge threshold, or the average discharge voltage of the power supply battery is less than the set battery voltage threshold, or the solar energy abundance value is less than the set power generation threshold, the battery charging switch circuit 214 is in a normally closed state.

[0083] The power supply control unit 25 controls the on and off of the battery power supply switch circuit 216 and the solar power supply switch circuit 217 according to the solar power supply abundance value. When the solar power supply abundance value is greater than the set solar power supply threshold value, a solar power supply control signal is issued, the battery power supply switch circuit 216 is cut off according to the solar power supply control signal, and the solar power supply switch circuit 217 is turned on according to the solar power supply control signal; when the solar power supply abundance value is less than the set solar power supply threshold value, a battery power supply control signal is issued, the battery power supply switch circuit 216 is turned on according to the battery power supply control signal, and the solar power supply switch circuit 217 is cut off according to the battery power supply control signal.

[0084] The power supply control unit 25 may be a processor capable of executing a computer program, a logic gate circuit, or a programmable logic controller (PLC for short).

[0085] Compared with the prior art, the present invention uses a supercapacitor as a pre-stage buffer of the power supply battery, thereby increasing the service life of the power supply battery. Through the power supply circuit based on logic control, when the solar power supply system 20 is working normally, the power supply control unit 25 is in an ultra-low power sleep mode most of the time. Only when the solar energy abundance value reaches the threshold of solar energy abundance, the power supply control unit 25 will actively wake up and control each switch circuit in the power supply circuit, thereby maximally reducing the total power consumption of the solar power supply system 20.

[0086] Based on the same inventive concept, the present application also provides an electronic device, which may be a terminal device such as a server, a desktop computing device or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet computer, a netbook, etc.). The device includes one or more processors and a memory, wherein the processor is used to execute the solar energy abundance prediction method of the program implementation method embodiment; and the memory is used to store a computer program executable by the processor.

[0087] Based on the same inventive concept, the present application also provides a computer-readable storage medium, corresponding to the embodiment of the aforementioned solar energy abundance prediction method, wherein the computer-readable storage medium stores a computer program thereon, and when the program is executed by a processor, the steps of the solar energy abundance prediction method or the power supply control method recorded in any of the aforementioned embodiments are implemented.

[0088] The present application may take the form of a computer program product implemented on one or more storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. Computer-usable storage media include permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0089] The above-mentioned embodiments only express several implementation methods of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, and the present invention is also intended to include these modifications and modifications.

Claims

1. A solar power supply system, characterized in that: include: A power supply circuit, which includes a solar power source, a capacitor charging switch circuit, a super capacitor and a power supply battery; The supercapacitor is connected to the charging output terminal of the solar power source through the capacitor charging switch circuit; the supercapacitor is used to charge the power supply battery; the power supply battery is used to output power supply energy; A data acquisition unit, used for acquiring working environment parameters of the solar power source and input voltage of the supercapacitor; A solar energy abundance prediction unit, used to predict the solar energy abundance value according to the working environment parameters of the solar power source and the input voltage of the supercapacitor; wherein the solar energy abundance prediction unit comprises: The conversion efficiency coefficient generation module includes: The initial coefficient generation submodule is used to randomly generate and encode a number of initial conversion efficiency coefficients for each set of target environmental parameters; An adaptation parameter solving submodule, used for solving the corresponding adaptation environment parameter through a fitness function according to each of the initial conversion efficiency coefficients; A similarity calculation submodule is used to calculate the similarity between each of the adaptation environment parameters and the target environment parameters to obtain parameter similarity; A fitness value calculation submodule, used to obtain a fitness value corresponding to the initial conversion efficiency coefficient according to each of the parameter similarities; A screening submodule, used for screening the initial conversion efficiency coefficient according to the fitness value; A crossover and mutation submodule, used for performing crossover and mutation processing on the initial conversion efficiency coefficient if the solution of the fitness function has not reached convergence; A coefficient determination submodule, for determining the current initial conversion efficiency coefficient as the conversion efficiency coefficient corresponding to the target environmental parameter if the solution of the fitness function reaches convergence; A conversion efficiency coefficient acquisition module, used to acquire working environment parameters of the solar power source, and acquire corresponding conversion efficiency coefficients according to the working environment parameters; A solar abundance value calculation module, used to obtain a solar abundance value according to the conversion efficiency coefficient and the input voltage of the supercapacitor; The power supply control unit is used to control the capacitor charging switch circuit to be turned on when the solar energy abundance value is greater than the solar energy charging threshold value.

2. The solar power supply system according to claim 1, characterized in that: The power supply circuit further comprises a battery charging switch circuit, wherein the battery charging switch circuit is connected between the supercapacitor and the power supply battery; The data acquisition unit is also used to collect the average discharge voltage of the supercapacitor and the average discharge voltage of the power supply battery; The power supply control unit is also used to control the battery charging switch circuit to be turned on when the average discharge voltage of the supercapacitor is greater than the capacitor discharge threshold, the average discharge voltage of the power supply battery is greater than the battery voltage threshold, and the solar energy surplus value is greater than the power generation threshold.

3. The solar power supply system according to claim 2, characterized in that: The power supply circuit also includes a battery-powered switch circuit and a solar-powered switch circuit, wherein the battery-powered switch circuit is connected to the power supply output end of the power supply battery; and the solar-powered switch circuit is connected to the power supply output end of the solar power source; The power supply control unit is also used to control the solar power supply switch circuit to be turned on when the solar energy abundance value is greater than the solar power supply threshold; and to control the battery power supply switch circuit to be turned on when the solar energy abundance value is less than the solar power supply threshold.

4. The solar power supply system according to claim 3, characterized in that: The solar power supply system also includes a timer, which is used to send out a data collection signal at a fixed time; The data acquisition unit is also used to perform data acquisition according to the data acquisition signal.

5. The solar power supply system according to claim 4, characterized in that: The capacitor charging switch circuit, the battery charging switch circuit, the battery power supply switch circuit and the solar power supply switch circuit are MOSFET combination control circuits.

6. The solar power supply system according to any one of claims 1 to 5, characterized in that: The expression of the fitness function is: Wherein, K is the conversion efficiency coefficient, G is the adapted light intensity, G max is the maximum light intensity of the solar power source, k is the power generation temperature coefficient, T is the adapted working temperature, T STC is the reference temperature of the solar power source under maximum light intensity.

7. The solar power supply system according to any one of claims 1 to 5, characterized in that: The screening submodule is used to screen the initial conversion efficiency coefficient using a selection operator according to the fitness value.

8. The solar power supply system according to claim 7, characterized in that: The selection operator is a roulette selection operator, a random competition selection operator, or a best retention selection operator.

9. A tree diameter at breast height measuring instrument, comprising a diameter at breast height measuring system, characterized in that: It comprises the solar power supply system according to any one of claims 1 to 8, and the solar power supply system is used to power the breast diameter measurement system.

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