Environmental Micro-Energy Harvesting Test System Based on Piezoelectric Energy Harvesting

Abstract

The present invention discloses an environmental micro-energy harvesting test system based on piezoelectric energy harvesting, belonging to the field of piezoelectric energy. The system includes an intelligent classification module, a test construction module, a test determination module, and a data extraction module. The test construction module is used to construct an environmental micro-energy harvesting scenario for piezoelectric energy harvesting according to different test parameters. The intelligent classification module is used to intelligently classify several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. The data acquisition module is used to acquire the real-time circuit data of the piezoelectric generator connected to the energy storage capacitor in the test platform under several groups of environmental micro-energy harvesting scenarios. The data extraction module is used to extract the environmental micro-energy harvesting scenarios in the first fixed set of test elements, the second fixed set of test elements, the third fixed set of test elements, and the fourth fixed set of test elements. The display module is used to display the first test element, the second test element, and the third test element of the target environmental micro-energy harvesting scenario.

Description

Technical Field

[0001] The present invention belongs to the field of piezoelectric energy, and relates to environmental micro-energy collection and testing technology. Specifically, it is an environmental micro-energy collection and testing system based on piezoelectric energy collection. Background Art

[0002] With the continuous progress of the manufacturing level of electronic devices, the power consumption of electronic devices has been continuously reduced. The power consumption of many micro-power electronic devices has dropped to the micro-watt level or even lower, which makes it possible to collect the energy in the environment around microelectronic devices, convert it into electrical energy, and supply power to them. A piezoelectric generator composed of piezoelectric materials or piezoelectric composites is currently the most widely used energy harvester, which can convert various forms of energy in the environment into electrical energy, and supply power to low-power wireless network sensor nodes or DC loads through a power management circuit. By miniaturizing and integrating the piezoelectric generator, the power management circuit and the low-power sensor node, an independent, non-invasive, self-powered, miniaturized and wireless data transmission electronic system can be formed, which can work without maintenance, have a long lifespan and high safety, and can completely solve the problems of short lifespan, difficult battery replacement, and even impossible battery replacement existing in the existing battery power supply. There is an urgent and wide range of technical requirements for piezoelectric energy collection in many fields such as industry, agriculture, electronic information, and the national economy, which has led scholars and research institutions to conduct a large number of fruitful researches on it, further promoting the development and application fields of piezoelectric energy collection technology.

[0003] Currently, the most common and most collected energy by piezoelectric generators, such as vibration energy, alternating electromagnetic energy, wind energy, etc., all show the characteristics of weak energy, low frequency and random change. When a piezoelectric generator is applied to such energy collection, the output electrical energy has the characteristics of low frequency, random frequency change, low output power, and the generator has a high capacitive internal resistance. This poses a huge challenge to the design of the power management circuit for realizing efficient energy collection, and is also a technical bottleneck restricting the wide application of piezoelectric generator energy collection. We propose an environmental micro-energy collection and testing system based on piezoelectric energy collection. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an environmental micro-energy collection and testing system based on piezoelectric energy collection.

[0005] The technical problem to be solved by the present invention is:

[0006] How to achieve efficient collection of environmental micro-energy based on different test parameters.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An environmental micro - energy harvesting test system based on piezoelectric energy harvesting includes a server, a test platform, and a piezoelectric generator. The server is connected to the test platform. The piezoelectric generator is used to conduct experiments on the test platform. The server is connected to a data acquisition module, an intelligent classification module, a test construction module, a display module, a user terminal, a storage module, a test determination module, and a data extraction module. The user terminal is used to input different test parameters and send them to the server, and the server sends different test parameters to the test construction module. The test construction module is used to construct environmental micro - energy harvesting scenarios for piezoelectric energy harvesting according to different test parameters, obtain several groups of environmental micro - energy harvesting scenarios for piezoelectric energy harvesting, and feedback them to the server. The server sends several groups of environmental micro - energy harvesting scenarios for piezoelectric energy harvesting to the intelligent classification module.

[0009] The intelligent classification module is used to intelligently classify several groups of environmental micro - energy harvesting scenarios for piezoelectric energy harvesting, obtain a first test element fixed set, a second test element fixed set, a third test element fixed set, and a fourth test element fixed set of the environmental micro - energy harvesting scenarios, and feedback them to the server. The server sends the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set to the user terminal. The user terminal sets the test parameters of the environmental micro - energy harvesting scenario in the test platform in the order of the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set.

[0010] The data acquisition module is used to collect the real - time circuit data of the piezoelectric generator connected to the energy storage capacitor in the test platform under several groups of environmental micro - energy harvesting scenarios and send it to the server. The server sends the real - time circuit data to the data extraction module. The data extraction module is used to extract the environmental micro - energy harvesting scenarios in the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set, obtain the target environmental micro - energy harvesting scenario, and feedback it to the server. The server sends the first test element, the second test element, and the third test element of the target environmental micro - energy harvesting scenario to the user terminal and the display module. The display module is used to display the first test element, the second test element, and the third test element of the target environmental micro - energy harvesting scenario.

[0011] Further, the test parameters include the piezoelectric material area, the excitation force acceleration, and the excitation frequency.

[0012] The real - time circuit data is the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, the capacitance and the voltage value at both ends of the energy storage capacitor, and the energy conversion duration.

[0013] Further, the piezoelectric material area is the first test element for the ambient micro-energy harvesting scenario, the excitation force acceleration is the second test element for the ambient micro-energy harvesting scenario, and the excitation frequency is the third test element for the ambient micro-energy harvesting scenario.

[0014] Further, the intelligent classification process of the intelligent classification module is specifically as follows:

[0015] Sequentially take the piezoelectric material area, the excitation force acceleration, and the excitation frequency as the first test element, the second test element, and the third test element for the ambient micro-energy harvesting scenario;

[0016] Obtain the specific values of the first test element, the second test element, and the third test element in several groups of ambient micro-energy harvesting scenarios for piezoelectric energy harvesting;

[0017] Then, classify the ambient micro-energy harvesting scenarios with the same specific value in the first test element into the first test element fixed set, classify the ambient micro-energy harvesting scenarios with the same specific value in the second test element into the second test element fixed set, classify the ambient micro-energy harvesting scenarios with the same specific value in the third test element into the third test element fixed set, and classify the remaining ambient micro-energy harvesting scenarios into the fourth test element fixed set.

[0018] Further, the selection process of the data selection module is specifically as follows:

[0019] Traverse and obtain the real-time circuit data of the piezoelectric generator in the ambient micro-energy harvesting scenarios in the first test element fixed set, and obtain the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, as well as the capacitance and voltage values at both ends of the energy storage capacitor, and the energy conversion duration;

[0020] Calculate the energy transfer efficiency values of the piezoelectric generator connected to the energy storage capacitor under different ambient micro-energy harvesting scenarios within the first test element fixed set;

[0021] Classify the ambient micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the first test element fixed set into the first test element screening set, classify the ambient micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the second test element fixed set into the second test element screening set, classify the ambient micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the third test element fixed set into the third test element screening set, and classify the ambient micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the fourth test element fixed set into the fourth test element screening set;

[0022] Select the target environmental micro-energy harvesting scenarios of the first test element screening set, the target environmental micro-energy harvesting scenarios of the second test element screening set, the target environmental micro-energy harvesting scenarios of the third test element screening set, and the target environmental micro-energy harvesting scenarios of the fourth test element screening set;

[0023] After comparing the energy transfer efficiency values of the four groups of target environmental micro-energy harvesting scenarios, select the target environmental micro-energy harvesting scenario with the largest energy transfer efficiency value and feedback it to the server.

[0024] Further, the method for selecting the target environmental micro-energy harvesting scenario is specifically as follows:

[0025] Traverse to obtain the lower limit values of the first test element, the second test element, and the third test element in the first test element screening set. According to the lower limit value of the first test element, obtain one or more groups of first environmental micro-energy harvesting scenarios in the first test element screening set. According to the lower limit value of the second test element, obtain one or more groups of second environmental micro-energy harvesting scenarios in the first test element screening set. According to the lower limit value of the third test element, obtain one or more groups of third environmental micro-energy harvesting scenarios in the first test element screening set;

[0026] According to the priority order of the first test element, the second test element, and the third test element, obtain the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the second target environmental micro-energy harvesting scenario of the first environmental micro-energy harvesting scenario. Then, according to the priority order of the first test element, the second test element, and the third test element, select the target environmental micro-energy harvesting scenario of the first test element screening set from the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the second target environmental micro-energy harvesting scenario;

[0027] Similarly, obtain the target environmental micro-energy harvesting scenarios of the second test element screening set, the target environmental micro-energy harvesting scenarios of the third test element screening set, and the target environmental micro-energy harvesting scenarios of the fourth test element screening set.

[0028] Further, the calculation method of the energy transfer efficiency value is specifically as follows:

[0029] The formula for the energy in the energy storage capacitor is:

[0030]

[0031] Where, W is the energy in the energy storage capacitor, C is the capacitance of the energy storage capacitor, and U is the voltage value across the energy storage capacitor;

[0032] The energy generated by the piezoelectric generator is:

[0033] W1 = Pt = U1I1t (2);

[0034] Among them, U1 is the output voltage of the piezoelectric generator, I1 is the output current of the piezoelectric generator, and t is the energy conversion time;

[0035] Combining Equation (1) and Equation (2), it can be known that the energy transfer efficiency value is:

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0037] 1. In the present invention, the test construction module constructs an environmental micro-energy collection scenario for piezoelectric energy harvesting according to different test parameters, and sends it to the intelligent classification module. The intelligent classification module performs intelligent classification on several groups of environmental micro-energy collection scenarios for piezoelectric energy harvesting, and obtains the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set of the environmental micro-energy collection scenario, and sends them to the user terminal. The user terminal sets the test parameters of the environmental micro-energy collection scenario in the test platform in the order of the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set;

[0038] 2. When the present invention works in several groups of environmental micro-energy collection scenarios for piezoelectric energy harvesting, the data selection module selects the environmental micro-energy collection scenarios in the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set to obtain four groups of target environmental micro-energy collection scenarios. After comparing the energy transfer efficiency values of the four groups of target environmental micro-energy collection scenarios, the target environmental micro-energy collection scenario with the largest energy transfer efficiency value is selected. Description of the Drawings

[0039] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 It is the overall system block diagram of the present invention;

[0041] Figure 2 It is the structural schematic diagram of the test bench in the present invention;

[0042] Figure 3 It is the structural schematic diagram of the piezoelectric generator in the present invention;

[0043] Figure 4 It is the structural schematic diagram of the equivalent circuit model of the piezoelectric generator in the present invention;

[0044] Figure 5 It is the selection schematic diagram of the target environmental micro-energy collection scenario in the present invention. Detailed Embodiments

[0045] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0046] Embodiment 1

[0047] Please refer to Figures 1 - 5 As shown, the environmental micro-energy harvesting test system based on piezoelectric energy harvesting includes a server, a test platform, and a piezoelectric generator. The server is connected to the test platform, and the piezoelectric generator is used for experiments on the test platform;

[0048] In specific implementation, referring to Figure 2 and Figure 3 , the test platform is jointly composed of a power generation fixing frame, a vibration table, an oscilloscope, a power amplifier, and a console. The piezoelectric generator is jointly composed of a mass block, a housing, a piezoelectric sheet, a cantilever beam, screw fixing holes, and a fixing base;

[0049] The server is connected with a data acquisition module, an intelligent classification module, a test construction module, a display module, a user terminal, a storage module, a test determination module, and a data extraction module;

[0050] Specifically, the user terminal is used for testers to input personal information and then register and log in to the system, and send the personal information to the server for storage; among them, the personal information includes the name of the tester, the real-name certified mobile phone number, etc.;

[0051] In specific implementation, the user terminal is used to input different test parameters and send the different test parameters to the server, and the server sends the different test parameters to the test construction module;

[0052] In this embodiment, it should be specifically noted that the test parameters include the piezoelectric material area, the excitation force acceleration, and the excitation frequency;

[0053] The test construction module is used to construct an environmental micro-energy harvesting scenario for piezoelectric energy harvesting according to different test parameters, and obtain several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. The test construction module feeds back the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting to the server, and the server sends the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting to the intelligent classification module;

[0054] The intelligent classification module is used to perform intelligent classification on several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. The specific intelligent classification process is as follows:

[0055] The piezoelectric material area, the excitation force acceleration, and the excitation frequency are sequentially used as the first test element, the second test element, and the third test element of the ambient micro-energy harvesting scenario;

[0056] Obtain the specific values of the first test element, the second test element, and the third test element in several groups of ambient micro-energy harvesting scenarios for piezoelectric energy harvesting;

[0057] Then, the ambient micro-energy harvesting scenarios with the same specific values in the first test element are grouped into the first test element fixed set, the ambient micro-energy harvesting scenarios with the same specific values in the second test element are grouped into the second test element fixed set, the ambient micro-energy harvesting scenarios with the same specific values in the third test element are grouped into the third test element fixed set, and the remaining ambient micro-energy harvesting scenarios are grouped into the fourth test element fixed set;

[0058] In specific implementation, for example, the first test element and the second test element in ambient micro-energy harvesting scenario A and ambient micro-energy harvesting scenario B are the same. Therefore, both ambient micro-energy harvesting scenario A and ambient micro-energy harvesting scenario B will be grouped into the first test element fixed set and the second test element fixed set;

[0059] The intelligent classification module feeds back the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set of the ambient micro-energy harvesting scenario to the server. The server sends the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set to the user terminal. The user terminal sets the test parameters of the ambient micro-energy harvesting scenario in the test platform in the order of the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set;

[0060] When several groups of ambient micro-energy harvesting scenarios for piezoelectric energy harvesting are in operation, the data acquisition module is used to collect the real-time circuit data of the piezoelectric generator connected to the energy storage capacitor in several groups of ambient micro-energy harvesting scenarios and send the real-time circuit data to the server. The server sends the real-time circuit data to the data selection module;

[0061] It should be specifically noted that the real-time circuit data is the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, the capacitance and voltage values at both ends of the energy storage capacitor, and the energy conversion duration, etc.;

[0062] The data selection module is used to select the ambient micro-energy harvesting scenarios in the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set. The selection process is as follows:

[0063] First, traverse to obtain the real-time circuit data of the piezoelectric generator in the environmental micro-energy harvesting scenario in the first fixed set of test elements, and obtain the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, as well as the capacitance and voltage values at both ends of the energy storage capacitor (i.e., the voltage values at one end and the other end of the energy storage capacitor), and the energy conversion duration;

[0064] Calculate the energy transfer efficiency values of the piezoelectric generator connected to the energy storage capacitor in different environmental micro-energy harvesting scenarios within the first fixed set of test elements;

[0065] In this embodiment, please refer to Figure 4 As shown, the calculation method of the energy transfer efficiency value is specifically as follows:

[0066] The entire energy harvesting process is to convert the energy in the environment into electrical energy through the harvesting device and circuit, and finally store it in the energy storage capacitor;

[0067] At this time, the formula for the energy in the energy storage capacitor is:

[0068]

[0069] Where W is the energy in the energy storage capacitor, that is, the converted electrical energy, C is the capacitance of the energy storage capacitor, and U is the voltage value at both ends of the energy storage capacitor;

[0070] The energy obtained through the conversion device (i.e., the energy generated by the piezoelectric generator) is:

[0071] W1 = Pt = U1I1t (2);

[0072] Where: U1 is the output voltage of the energy converter / piezoelectric generator, I1 is the output current of the energy converter / piezoelectric generator, and t is the energy conversion time;

[0073] Combining formula (1) and formula (2), it can be seen that the energy transfer efficiency value of the energy transferred from the environment to the energy storage capacitor is:

[0074] Classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the first fixed set of test elements into the first test element screening set, classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the second fixed set of test elements into the second test element screening set, classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the third fixed set of test elements into the third test element screening set, and classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the fourth fixed set of test elements into the fourth test element screening set;

[0075] Please refer to Figure 5 As shown, Figure 5Schematic diagram for the selection of target environment micro - energy harvesting scenarios. Among them, the lower limit values of the first test element, the second test element, and the third test element are intuitively represented by Arabic numerals;

[0076] Traverse to obtain the lower limit values of the first test element, the second test element, and the third test element in the first test element screening set. Obtain one or more groups of first - environment micro - energy harvesting scenarios in the first test element screening set according to the lower limit value of the first test element, obtain one or more groups of second - environment micro - energy harvesting scenarios in the first test element screening set according to the lower limit value of the second test element, and obtain one or more groups of third - environment micro - energy harvesting scenarios in the first test element screening set according to the lower limit value of the third test element;

[0077] Obtain the first target environment micro - energy harvesting scenario, the second target environment micro - energy harvesting scenario, and the third target environment micro - energy harvesting scenario of the first - environment micro - energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element. Then, obtain the target environment micro - energy harvesting scenario of the first test element screening set selected from the first target environment micro - energy harvesting scenario, the second target environment micro - energy harvesting scenario, and the third target environment micro - energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element;

[0078] For example: in the first - environment micro - energy harvesting scenario, when the first test elements are equal, compare the magnitudes of the second test element values, select the first - environment micro - energy harvesting scenario with the smallest second test element value and use it as the first target environment micro - energy harvesting scenario. Obtain the target environment micro - energy harvesting scenario of the first test element screening set in the following Figure 5 way;

[0079] Similarly, obtain the target environment micro - energy harvesting scenario of the second test element screening set, the target environment micro - energy harvesting scenario of the third test element screening set, and the target environment micro - energy harvesting scenario of the fourth test element screening set;

[0080] After comparing the energy transfer efficiency values of the four groups of target environment micro - energy harvesting scenarios, select the target environment micro - energy harvesting scenario with the largest energy transfer efficiency value and feedback it to the server;

[0081] The data extraction module feeds back the target environment micro - energy harvesting scenario to the server. The server sends the first test element, the second test element, and the third test element of the target environment micro - energy harvesting scenario to the user terminal and the display module. The display module is used to display the first test element, the second test element, and the third test element of the target environment micro - energy harvesting scenario;

[0082] The above formulas are all dimensionless and only take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulations to get a formula that is closest to the real situation. The magnitudes of the weight coefficient and the proportionality coefficient are specific numerical values obtained by quantifying each parameter, which is convenient for subsequent comparison. Regarding the magnitudes of the weight coefficient and the proportionality coefficient, as long as they do not affect the proportional relationship between the parameters and the quantified values, it is fine.

[0083] Embodiment 2

[0084] Based on another concept of the same invention, a working method for an environmental micro-energy harvesting test system based on piezoelectric energy harvesting is now proposed. The working method is specifically as follows:

[0085] Step S100: The user terminal inputs different test parameters and sends the different test parameters to the server. The server sends the different test parameters to the test construction module. The test construction module constructs an environmental micro-energy harvesting scenario for piezoelectric energy harvesting based on the different test parameters, obtaining several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. The test construction module feeds back the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting to the server, and the server sends the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting to the intelligent classification module.

[0086] Step S200: The intelligent classification module performs intelligent classification on the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. The piezoelectric material area, excitation force acceleration, and excitation frequency are sequentially used as the first test element, the second test element, and the third test element of the environmental micro-energy harvesting scenario to obtain the specific numerical values of the first test element, the second test element, and the third test element in the several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting. Then, the environmental micro-energy harvesting scenarios with the same specific numerical value in the first test element are classified into the first test element fixed set, the environmental micro-energy harvesting scenarios with the same specific numerical value in the second test element are classified into the second test element fixed set, the environmental micro-energy harvesting scenarios with the same specific numerical value in the third test element are classified into the third test element fixed set, and the remaining environmental micro-energy harvesting scenarios are classified into the fourth test element fixed set. The intelligent classification module feeds back the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set of the environmental micro-energy harvesting scenario to the server, and the server sends the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set to the user terminal. The user terminal sets the test parameters of the environmental micro-energy harvesting scenario in the test platform in the order of the first test element fixed set, the second test element fixed set, the third test element fixed set, and the fourth test element fixed set.

[0087] Step S300, when working in several groups of environmental micro-energy harvesting scenarios for piezoelectric energy harvesting, the data acquisition module acquires the real-time circuit data of the piezoelectric generator connected to the energy storage capacitor in the test platform in several groups of environmental micro-energy harvesting scenarios, and sends the real-time circuit data to the server, and the server sends the real-time circuit data to the data selection module;

[0088] Step S400: The data extraction module extracts the environmental micro-energy harvesting scenarios from the first fixed set of test elements, the second fixed set of test elements, the third fixed set of test elements, and the fourth fixed set of test elements. First, traverse to obtain the real-time circuit data of the piezoelectric generator in the environmental micro-energy harvesting scenarios in the first fixed set of test elements, and obtain the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, as well as the capacitance and the voltage values at both ends of the energy storage capacitor, and the energy conversion duration. Calculate the energy transfer efficiency values of the piezoelectric generator connected to the energy storage capacitor in different environmental micro-energy harvesting scenarios within the first fixed set of test elements. Classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the first fixed set of test elements into the first test element screening set, classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the second fixed set of test elements into the second test element screening set, classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the third fixed set of test elements into the third test element screening set, and classify the environmental micro-energy harvesting scenarios with energy transfer efficiency values exceeding the set threshold in the fourth fixed set of test elements into the fourth test element screening set. Traverse to obtain the lower limit values of the first test element, the second test element, and the third test element in the first test element screening set. Based on the lower limit value of the first test element, obtain one or more groups of first environmental micro-energy harvesting scenarios within the first test element screening set. Based on the lower limit value of the second test element, obtain one or more groups of second environmental micro-energy harvesting scenarios within the first test element screening set. Based on the lower limit value of the third test element, obtain one or more groups of third environmental micro-energy harvesting scenarios within the first test element screening set. Obtain the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the second target environmental micro-energy harvesting scenario of the first environmental micro-energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element. Then, obtain the target environmental micro-energy harvesting scenarios of the first test element screening set selected from the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the second target environmental micro-energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element. Similarly, obtain the target environmental micro-energy harvesting scenarios of the second test element screening set, the target environmental micro-energy harvesting scenarios of the third test element screening set, and the target environmental micro-energy harvesting scenarios of the fourth test element screening set. After comparing the energy transfer efficiency values of the four groups of target environmental micro-energy harvesting scenarios, select the target environmental micro-energy harvesting scenario with the largest energy transfer efficiency value;

[0089] Step S500, the data extraction module feeds back the target environment micro-energy harvesting scenario to the server, and the server sends the first test element, the second test element, and the third test element of the target environment micro-energy harvesting scenario to the user terminal and the display module, and the display module displays the first test element, the second test element, and the third test element of the target environment micro-energy harvesting scenario.

[0090] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation manners described. Obviously, according to the content of this specification, many modifications and variations can be made. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the relevant technical fields can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An environmental micro-energy harvesting test system based on piezoelectric energy harvesting, characterized in that, It includes a server, a test platform and a piezoelectric generator. The server is connected to the test platform. The piezoelectric generator is used to conduct experiments on the test platform. The server is connected with a data acquisition module, an intelligent classification module, a test construction module, a display module, a user terminal, a storage module, a test determination module and a data extraction module. The user terminal is used to input different test parameters and send them to the server, and the server sends the different test parameters to the test construction module. The test construction module is used to construct an environmental micro-energy collection scenario for piezoelectric energy collection according to different test parameters, obtain several groups of environmental micro-energy collection scenarios for piezoelectric energy collection and feedback them to the server, and the server sends the several groups of environmental micro-energy collection scenarios for piezoelectric energy collection to the intelligent classification module. The intelligent classification module is used to conduct intelligent classification on several groups of environmental micro-energy collection scenarios for piezoelectric energy collection, obtain a first test element fixed set, a second test element fixed set, a third test element fixed set and a fourth test element fixed set of the environmental micro-energy collection scenarios and feedback them to the server. The server sends the first test element fixed set, the second test element fixed set, the third test element fixed set and the fourth test element fixed set to the user terminal, and the user terminal sets the test parameters of the environmental micro-energy collection scenario in the test platform in the order of the first test element fixed set, the second test element fixed set, the third test element fixed set and the fourth test element fixed set. The data acquisition module is used to collect the real-time circuit data of the piezoelectric generator connected to the energy storage capacitor in several groups of environmental micro-energy collection scenarios and send it to the server, and the server sends the real-time circuit data to the data extraction module. The data extraction module is used to extract the environmental micro-energy collection scenarios in the first test element fixed set, the second test element fixed set, the third test element fixed set and the fourth test element fixed set, obtain a target environmental micro-energy collection scenario and feedback it to the server. The server sends the first test element, the second test element and the third test element of the target environmental micro-energy collection scenario to the user terminal and the display module, and the display module is used to display the first test element, the second test element and the third test element of the target environmental micro-energy collection scenario. The test parameters include the piezoelectric material area, the excitation force acceleration and the excitation frequency. The real-time circuit data is the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, as well as the capacitance and the voltage value at both ends of the energy storage capacitor, and the energy conversion duration.

2. The environmental micro-energy harvesting test system based on piezoelectric energy harvesting according to claim 1, wherein The piezoelectric material area is the first test element of the environmental micro-energy collection scenario, the excitation force acceleration is the second test element of the environmental micro-energy collection scenario, and the excitation frequency is the third test element of the environmental micro-energy collection scenario.

3. The environmental micro-energy harvesting test system based on piezoelectric energy harvesting according to claim 2, wherein, The specific intelligent classification process of the intelligent classification module is as follows: The piezoelectric material area, the excitation force acceleration and the excitation frequency are sequentially used as the first test element, the second test element and the third test element of the environmental micro-energy collection scenario. Obtain the specific values of the first test element, the second test element, and the third test element in several groups of ambient micro-energy collection scenarios for piezoelectric energy harvesting; Then, classify the ambient micro-energy collection scenarios with the same specific values in the first test element into the first test element fixed set, classify the ambient micro-energy collection scenarios with the same specific values in the second test element into the second test element fixed set, classify the ambient micro-energy collection scenarios with the same specific values in the third test element into the third test element fixed set, and classify the remaining ambient micro-energy collection scenarios into the fourth test element fixed set.

4. The environmental micro-energy harvesting test system based on piezoelectric energy harvesting according to claim 1, characterized in that, The selection process of the data selection module is specifically as follows: Traverse and obtain the real-time circuit data of the piezoelectric generator in the ambient micro-energy collection scenarios in the first test element fixed set, and obtain the output current and output voltage of the piezoelectric generator connected to the energy storage capacitor, as well as the capacitance and voltage values at both ends of the energy storage capacitor, and the energy conversion duration; Calculate the energy transfer efficiency values of the piezoelectric generator connected to the energy storage capacitor under different ambient micro-energy collection scenarios within the first test element fixed set; Classify the ambient micro-energy collection scenarios with energy transfer efficiency values exceeding the set threshold in the first test element fixed set into the first test element screening set, classify the ambient micro-energy collection scenarios with energy transfer efficiency values exceeding the set threshold in the second test element fixed set into the second test element screening set, classify the ambient micro-energy collection scenarios with energy transfer efficiency values exceeding the set threshold in the third test element fixed set into the third test element screening set, and classify the ambient micro-energy collection scenarios with energy transfer efficiency values exceeding the set threshold in the fourth test element fixed set into the fourth test element screening set; Select the target ambient micro-energy collection scenarios of the first test element screening set, the target ambient micro-energy collection scenarios of the second test element screening set, the target ambient micro-energy collection scenarios of the third test element screening set, and the target ambient micro-energy collection scenarios of the fourth test element screening set; After comparing the energy transfer efficiency values of the four groups of target ambient micro-energy collection scenarios with each other, select the target ambient micro-energy collection scenario with the largest energy transfer efficiency value and feedback it to the server.

5. The environmental micro-energy harvesting test system based on piezoelectric energy harvesting according to claim 4, characterized in that, The method for selecting the target ambient micro-energy collection scenario is specifically as follows: Traverse and obtain the lower limit values of the first test element, the second test element, and the third test element in the first test element screening set. Based on the lower limit value of the first test element, obtain one or more groups of first ambient micro-energy collection scenarios within the first test element screening set. Based on the lower limit value of the second test element, obtain one or more groups of second ambient micro-energy collection scenarios within the first test element screening set. Based on the lower limit value of the third test element, obtain one or more groups of third ambient micro-energy collection scenarios within the first test element screening set; Obtain the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the third target environmental micro-energy harvesting scenario of the first environmental micro-energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element, and then obtain the target environmental micro-energy harvesting scenario for selecting the first test element screening set from the first target environmental micro-energy harvesting scenario, the second target environmental micro-energy harvesting scenario, and the third target environmental micro-energy harvesting scenario according to the priority order of the first test element, the second test element, and the third test element; Similarly, obtain the target environmental micro-energy harvesting scenarios for the second test element screening set, the third test element screening set, and the fourth test element screening set.

6. The environmental micro-energy harvesting test system based on piezoelectric energy harvesting according to claim 4, characterized in that, The calculation method of the energy transfer efficiency value is specifically as follows: The calculation formula for the energy in the energy storage capacitor is: （1）； Among them, W is the energy in the energy storage capacitor, C is the capacitance of the energy storage capacitor, and U is the voltage value across the energy storage capacitor; The energy generated by the piezoelectric generator is: （2）； Among them, U1 is the output voltage of the piezoelectric generator, I1 is the output current of the piezoelectric generator, and t is the energy conversion time; Combining equations (1) and (2), it can be seen that the energy transfer efficiency value is: .

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