Intelligent shoes and control processing method based on self-generating intelligent shoes

Abstract

The invention relates to the technical field of intelligent shoe data processing, and particularly discloses an intelligent shoe and a control processing method based on a self-generating intelligent shoe, and the method comprises the steps: collecting and analyzing data transmission parameters of the self-generating intelligent shoe, so as to carry out the control processing of the data transmission of the self-generating intelligent shoe in a targeted manner; under the condition of ensuring stable data transmission of the self-generating intelligent shoes, static factors of the self-generating intelligent shoes are analyzed according to monitoring data of internal sensors of the self-generating intelligent shoes, whether the self-generating intelligent shoes are in a long-time unused state or not is judged, and if yes, the self-generating intelligent shoes are started. If yes, energy consumption analysis is carried out on the intelligent shoes capable of generating electricity, so that energy consumption of the intelligent shoes capable of generating electricity is controlled and processed, energy resource waste of the intelligent shoes capable of generating electricity in the idle time period is reduced, and the total running time of the intelligent shoes capable of generating electricity is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of smart shoe data processing, and in particular to a smart shoe and a control processing method based on the self-generating smart shoe. Background Art

[0002] With the rapid development of science and technology, smart wearable devices have become an indispensable part of people's daily life. As an emerging field of smart wearable devices, smart shoes have attracted much attention in recent years. These shoes not only provide traditional comfort and protection functions, but also integrate a variety of advanced sensors and control systems to monitor the operating status of smart shoes in real time.

[0003] For example, the invention patent with publication number CN115292041A discloses an application control method, a smart wearable device and a readable storage medium. The application control method includes: obtaining a target application to be started and determining the operating power consumption corresponding to the target application; determining a target operating system adapted to run the target application according to the size of the operating power consumption; if the target operating system is a first operating system, running the target application through the main processor and controlling the auxiliary processor to enter a sleep state; if the target operating system is a second operating system, running the target application through the auxiliary processor and controlling the main processor to enter a sleep state, thereby reducing the power consumption of the smart wearable device and extending the battery life of the smart wearable device.

[0004] For example, the invention patent with publication number CN112732024A, a smart wearable device and its control method, the smart wearable device includes a main body, a low-power processor, a high-performance processor, and a second storage module, the low-power processor has a built-in first storage module, the high-performance processor is communicated with the low-power processor, so that when the data in the first storage module reaches a first set amount, the low-power processor sends a feedback signal to the high-performance processor indicating that the amount of data in the first storage module has reached the first set amount, after the high-performance processor receives the feedback signal, the high-performance processor reads the data stored in the first storage module and stores the read data in the second storage module; and before the high-performance processor receives the feedback signal and after the read data is stored in the second storage module, the high-performance processor is in sleep mode.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: in daily life, smart wearable devices often have a long idle time, but the current technology mainly focuses on optimizing the energy consumption of smart wearable devices during high-intensity activities, which leads to waste of energy resources during idle time periods, accelerates battery aging, and shortens the service life of smart wearable devices. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a smart shoe and a control and processing method based on the self-generating smart shoe, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a control processing method based on self-generating intelligent shoes, including: step 1, collecting data transmission parameters of self-generating intelligent shoes, determining the data transmission quality index of the self-generating intelligent shoes, and comparing it with the data transmission quality threshold. If the data transmission quality index of the self-generating intelligent shoes is less than the data transmission quality threshold, the self-generating intelligent shoes management platform controls the data transmission of the self-generating intelligent shoes; step 2, based on the control processing of the data transmission of the self-generating intelligent shoes, collecting the monitoring data of each internal sensor of the self-generating intelligent shoes, and analyzing the static factor of the self-generating intelligent shoes; step 3, comparing the static factor of the self-generating intelligent shoes with the static threshold. If the static factor of the self-generating intelligent shoes is greater than the static threshold, obtaining the power consumption data of the battery of the self-generating intelligent shoes and the power consumption data of each internal sensor of the self-generating intelligent shoes, and comprehensively evaluating the comprehensive energy consumption index of the self-generating intelligent shoes; step 4, based on the comprehensive energy consumption index of the self-generating intelligent shoes, the self-generating intelligent shoes management platform controls the energy consumption of the self-generating intelligent shoes.

[0008] As a further method, the self-generating smart shoe management platform controls the data transmission of the self-generating smart shoes. The specific control processing is: if the data transmission quality index of the self-generating smart shoes is less than the data transmission quality threshold, the data transmission quality index of the self-generating smart shoes is matched with the data transmission adjustment set corresponding to each data transmission quality index interval stored in the control database, thereby obtaining and executing the data transmission adjustment set of the self-generating smart shoes, and the self-generating smart shoe management platform completes the control processing of the data transmission of the self-generating smart shoes; if the data transmission quality index of the self-generating smart shoes is greater than or equal to the data transmission quality threshold, the monitoring data of each internal sensor of the self-generating smart shoes is directly collected.

[0009] As a further method, the analysis of the static factors of the self-powered smart shoes specifically refers to collecting monitoring data of each internal sensor of the self-powered smart shoes during an operation detection cycle, and analyzing the static factors of the self-powered smart shoes through the monitoring data of each internal sensor of the self-powered smart shoes during the operation detection cycle.

[0010] As a further method, the self-generating smart shoe management platform controls the energy consumption of the self-generating smart shoes. The specific control process is: comparing the comprehensive energy consumption index of the self-generating smart shoes with the comprehensive energy consumption threshold; if the comprehensive energy consumption index of the self-generating smart shoes is greater than the comprehensive energy consumption threshold, matching the comprehensive energy consumption index of the self-generating smart shoes with the energy consumption adjustment set corresponding to each comprehensive energy consumption index interval stored in the control database, thereby obtaining and executing the energy consumption adjustment set of the self-generating smart shoes, and the self-generating smart shoe management platform completes the control process of the energy consumption of the self-generating smart shoes; if the comprehensive energy consumption index of the self-generating smart shoes is less than or equal to the comprehensive energy consumption threshold, the self-generating smart shoe management platform automatically shuts down the self-generating smart shoes, thereby completing the control process of the energy consumption of the self-generating smart shoes.

[0011] A second aspect of the present invention provides a self-generating smart shoe that uses the control processing method based on the self-generating smart shoe, including: a self-generating smart shoe and a self-generating smart shoe management platform; the self-generating smart shoe is connected to the self-generating smart shoe management platform through network communication, and the self-generating smart shoe is controlled through the communication data transmission function.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a smart shoe and a control processing method based on the self-powered smart shoe. By collecting and analyzing the data transmission parameters of the self-powered smart shoe, the data transmission of the self-powered smart shoe is controlled and processed in a targeted manner. Under the condition of ensuring the stability of the data transmission of the self-powered smart shoe, the static factor of the self-powered smart shoe is analyzed through the monitoring data of each internal sensor of the self-powered smart shoe to determine whether the self-powered smart shoe has not been used for a long time. If it is determined to be so, the energy consumption of the self-powered smart shoe is analyzed, so as to control the energy consumption of the self-powered smart shoe, thereby reducing the waste of energy resources of the self-powered smart shoe during the idle time period and extending the total operation time of the self-powered smart shoe.

[0013] (2) In order to address the problem of misjudgment that may be caused by poor data transmission, such as erroneously believing that the self-powered smart shoes are in an idle state, the present invention collects the data transmission parameters of the self-powered smart shoes and determines the data transmission quality index of the self-powered smart shoes, thereby controlling and processing the data transmission of the self-powered smart shoes, thereby effectively reducing the probability of such misjudgment, ensuring that the self-powered smart shoes can accurately reflect their own operating status in real time, and reducing the decline in user experience or functional failure due to misjudgment.

[0014] (3) The present invention realizes effective energy conservation and management by controlling the energy consumption of the self-generating smart shoes that have not been used for a long time (i.e., idle state). This innovative design can automatically identify the idle period of the shoes and automatically adjust to a low power consumption mode, thereby greatly reducing unnecessary energy consumption and extending the service life and endurance of the smart shoes. In addition, the intelligent energy consumption control also helps to reduce the battery aging problem caused by long-term idleness of the self-generating smart shoes, thereby improving the total operating time and performance stability of the self-generating smart shoes. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0016] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0017] Figure 2 It is a schematic diagram of the operating power curve involved in the present invention.

[0018] Figure numerals: 1. start time point of the operation detection cycle; 2. end time point of the operation detection cycle; 3. operation power curve. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0020] Reference Figure 1 As shown, the first aspect of the present invention provides a control processing method based on self-powered smart shoes, including: step one, collecting data transmission parameters of the self-powered smart shoes, determining the data transmission quality index of the self-powered smart shoes, and comparing it with the data transmission quality threshold; if the data transmission quality index of the self-powered smart shoes is less than the data transmission quality threshold, the self-powered smart shoes management platform controls the data transmission of the self-powered smart shoes.

[0021] The above data transmission parameters include communication frequency, total amount of data sent, time point of sending each data packet and time point of receiving each data packet. In addition to being applicable to the above parameters, this example can also be applied to other parameters.

[0022] In a specific embodiment, in order to address the problem of misjudgment that may be caused by poor data transmission, such as erroneously believing that the self-powered smart shoes are in an idle state, the present invention collects data transmission parameters of the self-powered smart shoes and determines the data transmission quality index of the self-powered smart shoes, thereby controlling and processing the data transmission of the self-powered smart shoes, thereby effectively reducing the probability of such misjudgment, ensuring that the self-powered smart shoes can accurately reflect their own operating status in real time, and reducing the decline in user experience or functional failure due to misjudgment.

[0023] Specifically, the self-generating smart shoe management platform controls the data transmission of the self-generating smart shoe, and the specific control processing is: if the data transmission quality index of the self-generating smart shoe is less than the data transmission quality threshold, then the data transmission quality index of the self-generating smart shoe is matched with the data transmission adjustment set corresponding to each data transmission quality index interval stored in the control database, thereby obtaining and executing the data transmission adjustment set of the self-generating smart shoe, and the self-generating smart shoe management platform completes the control processing of the data transmission of the self-generating smart shoe; if the data transmission quality index of the self-generating smart shoe is greater than or equal to the data transmission quality threshold, then the monitoring data of each internal sensor of the self-generating smart shoe is directly collected; the above-mentioned data transmission quality threshold represents the minimum value of the reasonable range of the data transmission quality index of the self-generating smart shoe, which is extracted from the control database; in an example embodiment, assuming that the data transmission quality index of the self-generating smart shoe is less than the data transmission quality threshold value, the data transmission quality index of the self-powered smart shoes is G, which belongs to the data transmission quality index interval [G-35%, G+45%] stored in the control database, and the data transmission adjustment set corresponding to the data transmission quality index interval [G-35%, G+45%] specifically includes: upgrading the communication protocol, that is, upgrading the low version of the communication protocol to a high version, switching to the 5 GHz frequency band for communication, removing unnecessary redundant information in the data packet, such as repeated header information and check codes, and using a more compact data format for encoding, such as using binary format instead of text format to reduce the data transmission burden; then the data transmission adjustment set of the self-powered smart shoes includes: upgrading the communication protocol, that is, upgrading the low version of the communication protocol to a high version, switching to the 5 GHz frequency band for communication, removing unnecessary redundant information in the data packet, such as repeated header information and check codes, and using a more compact data format for encoding, such as using binary format instead of text format to reduce the data transmission burden.

[0024] It should be explained that the above-mentioned control database is a database for storing parameters involved in the control processing method based on the self-generating intelligent shoes.

[0025] It is also necessary to further explain that the above-mentioned obtaining and executing of the data transmission adjustment set of the self-powered smart shoes is specifically carried out as follows: the self-powered smart shoes management platform communicates with the internal sensors in the self-powered smart shoes in real time through network communication, thereby collecting the data transmission parameters of the self-powered smart shoes, determining the data transmission quality index of the self-powered smart shoes, and matching to obtain the data transmission adjustment set of the self-powered smart shoes, re-encoding the data transmission adjustment set of the self-powered smart shoes so that the encoded data transmission adjustment set can be parsed by the self-powered smart shoes, and encapsulating the encoded data transmission adjustment set into a data packet, which is sent to the self-powered smart shoes through network communication, the communication module inside the self-powered smart shoes receives the data packet and parses it into the original instruction sequence, the instruction sequence is passed to the control unit or microprocessor of the smart shoes, and the control unit adjusts the data transmission parameters of the smart shoes according to the content of the instruction sequence, such as upgrading the communication protocol, etc. The above-mentioned self-generating smart shoe management platform is a complex system that integrates multiple modules such as data processing, network communication and device management. It realizes real-time monitoring and data collection of the shoe status by communicating with hardware devices such as sensors and controllers inside the self-generating smart shoes. At the same time, the platform also has functions such as data analysis, strategy formulation and execution. It can automatically adjust the working mode of the self-generating smart shoes according to the real-time status and needs of the self-generating smart shoes to optimize the data transmission and energy management of the self-generating smart shoes; after executing the data transmission adjustment set of the self-generating smart shoes, the data transmission quality index of the self-generating smart shoes is re-determined, which can be greater than or equal to the data transmission quality threshold, because the data transmission adjustment set is based on the deep mining and precise analysis of massive historical data, and the massive historical data covers the data transmission performance and adjustment process of the self-generating smart shoes in different environments and different usage scenarios, thereby meeting the actual operation needs.

[0026] Furthermore, the data transmission quality index of the self-generating intelligent shoes is determined by the following specific determination process: the communication frequency of the self-generating intelligent shoes within the communication detection period and the total amount of data sent by the self-generating intelligent shoes within the communication detection period are extracted from the data transmission parameters of the self-generating intelligent shoes; the above-mentioned communication detection period refers to the time period for detecting the communication status of the self-generating intelligent shoes, and the specific duration is determined by the equipment performance engineer; the communication frequency of the self-generating intelligent shoes within the communication detection period is obtained by averaging the sending duration of each data packet of the self-generating intelligent shoes within the communication detection period, and the inverse of the averaging result is recorded as the communication frequency of the self-generating intelligent shoes within the communication detection period; the total amount of data sent by the self-generating intelligent shoes within the communication detection period is extracted from the receiving data log of the self-generating intelligent shoes management platform.

[0027] The sending time point of each data packet of the self-powered intelligent shoes within the communication detection period and the receiving time point of each data packet are extracted from the data transmission parameters of the self-powered intelligent shoes, and the receiving time point of each data packet is difference processed with the sending time point corresponding to each data packet, and the processing result is marked as the sending duration of each data packet of the self-powered intelligent shoes within the communication detection period; the sending time point of each of the above data packets is extracted from the data recorded in the header timestamp of each data packet; the receiving time point of each of the above data packets is extracted from the receiving data log of the self-powered intelligent shoes management platform.

[0028] Thus, a method for determining the data transmission quality index of the self-powered smart shoes is comprehensively obtained. In this embodiment, the data transmission quality index of the self-powered smart shoes is obtained by comprehensively analyzing the communication frequency, the total amount of data sent, and the sending time of each data packet of the self-powered smart shoes during the communication detection period, and is used to determine the value of the data transmission quality of the self-powered smart shoes. The specific determination method is: ; It is the communication frequency of the self-powered smart shoes during the communication detection cycle, which refers to the frequency of data communication between the self-powered smart shoes and the self-powered smart shoes management platform during the communication detection cycle. The communication frequency is an indicator to measure the frequency of data transmission activities of the self-powered smart shoes.

[0029] It is the total amount of data sent by the self-powered smart shoes during the communication detection cycle. It refers to the total amount of data sent by the self-powered smart shoes during the communication detection cycle. This total amount is usually measured in bytes, kilobytes, megabytes or larger data units. The total amount of data sent reflects the amount of information transmitted by the self-powered smart shoes.

[0030] It is the sending time of the s-th data packet of the self-powered smart shoes within the communication detection cycle, which refers to the length of time required for the self-powered smart shoes to send the s-th data packet within the communication detection cycle. The sending time is an indicator to measure the data transmission speed or efficiency.

[0031] The influence factor corresponding to the communication frequency unit value preset in the control database represents the influence degree of the communication frequency unit value on the data transmission quality index of the self-powered smart shoes. The influence factor corresponding to the communication frequency unit value can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the communication frequency and the influence factor corresponding to the communication frequency unit value preset in the control database form a mapping set, and the real-time communication frequency is input into the mapping set to obtain the influence factor corresponding to the communication frequency unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0032] The impact factor corresponding to the unit value of the sending duration preset in the control database represents the numerical value of the influence of the unit value of the sending duration on the data transmission quality index of the self-powered smart shoes. The impact factor corresponding to the unit value of the sending duration can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the sending duration and the impact factor corresponding to the unit value of the sending duration preset in the control database form a mapping set, and the real-time sending duration is input into the mapping set to obtain the impact factor corresponding to the unit value of the sending duration. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0033] s is the number of each data packet, , t is the total number of data packets, The reference total amount of sent data preset in the control database represents the reference value of the total amount of sent data of the self-generating smart shoes within the communication detection cycle.

[0034] in, is the data transmission quality index of the self-powered smart shoes. When the communication frequency is at a low level, the data transmission problem of the self-powered smart shoes is particularly prominent. Specifically, this low-frequency state directly leads to the total amount of data sent by the self-powered smart shoes during the communication detection cycle being significantly lower than the preset reference total amount of sent data. This phenomenon occurs not only because the low frequency limits the frequency of data transmission, but also because the situation will be further deteriorated when the data packet itself takes a long time to send. In the case of a long data packet sending time, even if the smart shoes try to send all necessary data within the communication detection cycle, it may not be completed due to insufficient time. This time urgency makes it impossible for the smart shoes to effectively send all the data within the cycle, thereby exacerbating the gap between the total amount of sent data and the total amount of reference data. This lack of data transmission directly leads to a significant decrease in the data transmission quality of the smart shoes. The unreliability of data transmission makes the analysis of the operating status of the smart shoes based on these data inaccurate, and it is difficult to make an accurate judgment on the actual operating status of the smart shoes.

[0035] In this exemplary embodiment, a table showing changes in the data transmission quality index and its corresponding parameters of the self-generating smart shoes is shown in Table 1: Table 1 The data transmission quality index of the self-powered smart shoes and its corresponding parameters In this example embodiment, the total amount of reference data sent is set to 8.5* bit, and set the value of the impact factor corresponding to the communication frequency unit value to 0.23, and set the value of the impact factor corresponding to the transmission duration unit value to 0.21. From Table 1, it can be seen that when the communication frequency is relatively low, specifically 11 MHz, the total amount of data sent will deviate significantly from the reference total amount of data sent, that is, 4* Bit and 8.5* The bit difference is large, and the sending time of each data packet is longer, which is 23 milliseconds and 24 milliseconds respectively. Overall, the data transmission quality of the self-powered smart shoes is poor, which is specifically manifested in the small data transmission quality index of 136%.

[0036] Step 2: Based on the control processing of the data transmission of the self-powered smart shoes, the monitoring data of the internal sensors of the self-powered smart shoes are collected, and the static factors of the self-powered smart shoes are analyzed.

[0037] Specifically, the analysis of the static factors of the self-generating smart shoes specifically refers to collecting monitoring data of each internal sensor of the self-generating smart shoes during an operation detection cycle, and analyzing the static factors of the self-generating smart shoes through the monitoring data of each internal sensor of the self-generating smart shoes during an operation detection cycle. The above monitoring data include the average temperature inside the shoe and the average pressure inside the shoe. In addition to being applicable to the above parameters, this example can also be used for other parameters.

[0038] Furthermore, the static factor of the self-generating smart shoes is specifically analyzed as follows: Obtain an operating power curve of a battery of the self-generating smart shoe during an operation detection cycle, and perform definite integral processing, and the processing result is marked as the total operating power consumption of the battery of the self-generating smart shoe during the operation detection cycle; the operating power curve of the battery of the self-generating smart shoe during the operation detection cycle is measured by a voltage sensor at each operation detection time point of the battery of the self-generating smart shoe during the operation detection cycle, and the current of the battery of the self-generating smart shoe during each operation detection time point of the operation detection cycle is measured by a current sensor, and the voltage of the battery of the self-generating smart shoe at each operation detection time point during the operation detection cycle is multiplied by the current at the corresponding time point to obtain the operating power of the battery of the self-generating smart shoe at each operation detection time point during the operation detection cycle, and then the matrix laboratory software built into the self-generating smart shoe management platform is used to perform denoising processing on the operating power of the battery of the self-generating smart shoe at each operation detection time point during the operation detection cycle and draw it into a coherent curve, so as to obtain the operating power curve of the battery of the self-generating smart shoe during the operation detection cycle. In an exemplary embodiment, the operating power curve is as follows Figure 2 As shown, the horizontal axis is the operation detection time point, the unit is minute, and the vertical axis is the operation power, the unit is watt, which clearly shows the state of the operation power of the battery of the self-generating intelligent shoes during the operation detection cycle changing with time. The total operation power consumption of the battery of the self-generating intelligent shoes during the operation detection cycle is obtained by continuously performing definite integral processing on the operation power curve 3 from the start time point 1 of the operation detection cycle to the end time point 2 of the operation detection cycle, so as to obtain the total operation power consumption of the battery of the self-generating intelligent shoes during the operation detection cycle.

[0039] It needs to be explained that the operation detection cycle refers to the time period for detecting the operating status of the self-generating smart shoes, and the specific duration is determined by the equipment performance engineer.

[0040] The total amount of data sent by the self-powered smart shoes during the operation detection cycle is obtained in the same manner as the total amount of data sent by the self-powered smart shoes during the communication detection cycle.

[0041] At the same time, the average temperature inside the self-generating intelligent shoes during the operation detection cycle and the average pressure inside the self-generating intelligent shoes during the operation detection cycle are extracted from the monitoring data of each internal sensor of the self-generating intelligent shoes during the operation detection cycle; the average temperature inside the shoes of the self-generating intelligent shoes during the operation detection cycle is obtained by averaging the real-time temperature of the self-generating intelligent shoes during the operation detection cycle measured by each temperature sensor of the self-generating intelligent shoes; the average pressure inside the shoes of the self-generating intelligent shoes during the operation detection cycle is obtained by averaging the real-time pressure of the self-generating intelligent shoes during the operation detection cycle measured by each pressure sensor of the self-generating intelligent shoes, wherein the internal sensors include but are not limited to pressure sensors, temperature sensors, current sensors and voltage sensors.

[0042] Thus, the analysis method of the static factor of the self-powered intelligent shoes is comprehensively obtained. In this embodiment, the static factor of the self-powered intelligent shoes is obtained by comprehensively analyzing the total power consumption of the battery of the self-powered intelligent shoes during the operation detection cycle, the total amount of data sent by the self-powered intelligent shoes during the operation detection cycle, the average temperature inside the shoes, and the average pressure inside the shoes. It is used to determine the value of the static degree of the self-powered intelligent shoes. The specific analysis method is: ; It is the total power consumption of the battery of the self-powered smart shoes during the operation detection cycle, indicating the total electric energy consumed by the battery built into the self-powered smart shoes during the operation detection cycle. This total power consumption reflects the energy demand of the self-powered smart shoes during operation.

[0043] It is the total amount of data sent by the self-powered smart shoes during the operation detection cycle. In the static factor of the self-powered smart shoes, the total amount of data sent can be used to reflect the usage status of the self-powered smart shoes. When the total amount of data sent by the self-powered smart shoes during the operation detection cycle is small, it usually means that the operation status of the self-powered smart shoes is inactive, and the activity frequency of its internal sensors and other data transmission components is low.

[0044] is the average temperature inside the self-powered smart shoes during the operation detection cycle, indicating the average temperature inside the self-powered smart shoes during the operation detection cycle.

[0045] is the average pressure inside the self-powered smart shoes during the operation detection cycle, indicating the average pressure inside the self-powered smart shoes during the operation detection cycle.

[0046] e is a natural constant, The influence factor corresponding to the unit value of the total operating power consumption preset in the control database represents the influence degree of the unit value of the total operating power consumption on the static factor of the self-powered intelligent shoes. The influence factor corresponding to the unit value of the total operating power consumption can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the total operating power consumption and the influence factor corresponding to the unit value of the total operating power consumption preset in the control database form a mapping set, and the real-time total operating power consumption is input into the mapping set to obtain the influence factor corresponding to the unit value of the total operating power consumption. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0047] The influence factor corresponding to the unit value of the total amount of data sent preset in the control database represents the numerical value of the influence of the unit value of the total amount of data sent on the static factor of the self-generating intelligent shoes. The influence factor corresponding to the unit value of the total amount of data sent can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the total amount of data sent and the influence factor corresponding to the unit value of the total amount of data sent preset in the control database form a mapping set, and the real-time total amount of data sent is input into the mapping set to obtain the influence factor corresponding to the unit value of the total amount of data sent. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0048] It is the influence factor corresponding to the unit value of the average temperature inside the shoe preset in the control database, which represents the numerical value of the influence of the unit value of the average temperature inside the shoe on the static factor of the self-generating intelligent shoe. When used, the influence factor corresponding to the unit value of the average temperature inside the shoe can be directly obtained from the control database, and the corresponding relationship can be a preset mapping relationship. For example, the average temperature inside the shoe and the influence factor corresponding to the unit value of the average temperature inside the shoe preset in the control database form a mapping set, and the real-time average temperature inside the shoe is input into the mapping set to obtain the influence factor corresponding to the unit value of the average temperature inside the shoe. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0049] It is the influence factor corresponding to the unit value of the average pressure in the shoe preset in the control database, which represents the numerical value of the influence of the unit value of the average pressure in the shoe on the static factor of the self-generating intelligent shoe. When used, the influence factor corresponding to the unit value of the average pressure in the shoe can be directly obtained from the control database, and the corresponding relationship can be a preset mapping relationship. For example, the average pressure in the shoe and the influence factor corresponding to the unit value of the average pressure in the shoe preset in the control database form a mapping set, and the real-time average pressure in the shoe is input into the mapping set to obtain the influence factor corresponding to the unit value of the average pressure in the shoe. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0050] in, is the static factor of the self-powered smart shoes. When the self-powered smart shoes are used, the activities inside them will also increase, which is directly reflected in the increase in the total amount of data sent. As an energy-consuming process, data transmission will inevitably lead to a corresponding increase in the total power consumption of the battery. The battery will generate heat when working. Therefore, as the total power consumption of the battery increases, the average temperature inside the shoe will also increase. This is due to the combined effect of the thermal effect of the battery and the poor heat dissipation. Furthermore, when the self-powered smart shoes are in a worn state rather than idle, the average pressure inside the shoe will increase. This is mainly because when wearing, the weight of the human body Activities such as walking and running will generate pressure on the bottom of the shoes. At the same time, the average temperature inside the shoes will rise due to the heat transfer from the human body and the poor air circulation inside the shoes. This change in temperature and pressure not only reflects the usage status of the shoes, but also prompts the self-powered smart shoes to collect and send data more frequently, thereby further increasing the total amount of data sent and the total power consumption of the battery. Therefore, the above parameters can be used to analyze from multiple angles whether the self-powered smart shoes are in an idle state, reducing the one-sidedness of single-dimensional analysis, and then the energy consumption mode of the smart shoes in the restricted state can be deeply explored and accurately controlled.

[0051] Step three: compare the static factor of the self-powered smart shoes with the static threshold. If the static factor of the self-powered smart shoes is greater than the static threshold, obtain the power consumption data of the battery of the self-powered smart shoes and the power consumption data of each internal sensor of the self-powered smart shoes, and comprehensively evaluate the comprehensive energy consumption index of the self-powered smart shoes.

[0052] The power consumption data of the battery of the above-mentioned self-powered smart shoes include the total operating power consumption and the average operating voltage. The power consumption data of each internal sensor of the above-mentioned self-powered smart shoes include the total operating power consumption and the sampling frequency. In addition to being applied to the above-mentioned parameters, this example can also be used for other parameters.

[0053] Specifically, the static factor of the self-generating smart shoes is compared with the static threshold, and the specific comparison process is: If the static factor of the self-powered smart shoes is less than or equal to the static threshold, the monitoring data of the internal sensors of the self-powered smart shoes are continuously collected, and the static factor of the self-powered smart shoes is continuously evaluated; the above-mentioned static threshold is a value used to distinguish whether the self-powered smart shoes meet the state of long-term non-use. If the static factor of the self-powered smart shoes is greater than the static threshold, it indicates that the self-powered smart shoes meet the state of long-term non-use; if the static factor of the self-powered smart shoes is less than or equal to the static threshold, it indicates that the self-powered smart shoes do not meet the state of long-term non-use.

[0054] Specifically, the comprehensive energy consumption index of the self-generating intelligent shoes, in this embodiment, is obtained by comprehensively analyzing the communication frequency of the self-generating intelligent shoes in the operation detection cycle, the total power consumption of each internal sensor of the self-generating intelligent shoes in the operation detection cycle, the sampling frequency, the total power consumption of the battery of the self-generating intelligent shoes in the operation detection cycle, and the average working voltage, and is used to determine the comprehensive energy consumption of the self-generating intelligent shoes. The specific evaluation method is: ; The communication frequency of the self-powered smart shoes during the operation detection cycle. Communication will also consume a certain amount of energy. Therefore, in the comprehensive energy consumption index of the self-powered smart shoes, the communication frequency is also one of the important factors affecting the energy consumption of the shoes.

[0055] It is the total power consumption of the d-th internal sensor of the self-powered smart shoes during the operation detection cycle. It refers to the total energy consumed by sampling, data processing, communication and other operations during the operation detection cycle of the d-th internal sensor. This parameter reflects the energy consumption of the sensor in the entire operation cycle and is an important indicator for evaluating the energy efficiency of the sensor and the overall energy consumption of the shoe.

[0056] It is the sampling frequency of the d-th internal sensor of the self-generating smart shoes during the operation detection cycle, and refers to the frequency at which the d-th internal sensor samples the measured physical quantity (such as acceleration, pressure, and temperature, etc.) during the operation detection cycle.

[0057] It is the total power consumption of the battery of the self-powered smart shoes during the operation detection cycle. It refers to the total energy consumed by the battery to provide power to all sensors, control systems and communication modules inside the self-powered smart shoes during the operation detection cycle. This parameter reflects the energy consumption of the battery during the entire operation cycle and is an important indicator for evaluating the battery life and the overall energy consumption of the self-powered smart shoes.

[0058] It is the average working voltage of the battery of the self-powered smart shoes during the operation detection cycle, and refers to the average output voltage of the battery of the self-powered smart shoes during the operation detection cycle.

[0059] e is a natural constant, The influence factor corresponding to the communication frequency unit value preset in the control database represents the influence degree of the communication frequency unit value on the comprehensive energy consumption index of the self-powered intelligent shoes. The influence factor corresponding to the communication frequency unit value can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the communication frequency and the influence factor corresponding to the communication frequency unit value preset in the control database form a mapping set, and the real-time communication frequency is input into the mapping set to obtain the influence factor corresponding to the communication frequency unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0060] It is the influence factor corresponding to the unit value of the total operating power consumption of the sensor preset in the control database, which represents the influence degree of the unit value of the total operating power consumption of the internal sensor in the operation detection cycle on the comprehensive energy consumption index of the self-powered intelligent shoes. When used, the influence factor corresponding to the unit value of the total operating power consumption of the sensor can be directly obtained from the control database, and the corresponding relationship can be a preset mapping relationship. For example, the total operating power consumption of the internal sensor in the operation detection cycle and the influence factor corresponding to the unit value of the total operating power consumption of the sensor preset in the control database form a mapping set, and the real-time total operating power consumption of the internal sensor in the operation detection cycle is input into the mapping set to obtain the influence factor corresponding to the unit value of the total operating power consumption of the sensor. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0061] The influence factor corresponding to the sampling frequency unit value preset in the control database represents the influence degree of the sampling frequency unit value on the comprehensive energy consumption index of the self-powered intelligent shoes. The influence factor corresponding to the sampling frequency unit value can be directly obtained from the control database when used, and the corresponding relationship can be a preset mapping relationship. For example, the sampling frequency and the influence factor corresponding to the sampling frequency unit value preset in the control database form a mapping set, and the real-time sampling frequency is input into the mapping set to obtain the influence factor corresponding to the sampling frequency unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0062] It is the influence factor corresponding to the unit value of the total operating power consumption of the battery preset in the control database, which represents the total operating power consumption of the battery during the operation detection cycle. When in use, the influence factor corresponding to the unit value of the total operating power consumption of the battery can be directly obtained from the control database, and the corresponding relationship can be a preset mapping relationship. For example, the total operating power consumption of the battery during the operation detection cycle and the influence factor corresponding to the unit value of the total operating power consumption of the battery preset in the control database form a mapping set, and the real-time total operating power consumption of the battery during the operation detection cycle is input into the mapping set to obtain the influence factor corresponding to the unit value of the total operating power consumption of the battery. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0063] It is the influence factor corresponding to the average working voltage unit value preset in the control database, which represents the influence degree of the average working voltage unit value on the comprehensive energy consumption index of the self-powered intelligent shoes. When used, the influence factor corresponding to the average working voltage unit value can be directly obtained from the control database, and the corresponding relationship can be a preset mapping relationship. For example, the average working voltage and the influence factor corresponding to the average working voltage unit value preset in the control database form a mapping set, and the real-time average working voltage is input into the mapping set to obtain the influence factor corresponding to the average working voltage unit value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0064] d is the number of each internal sensor, , f is the total number of internal sensors.

[0065] in, is the comprehensive energy consumption index of the self-powered smart shoes. During the operation and detection cycle of the self-powered smart shoes, there is an intricate and interdependent network of relationships between its key parameters, which is specifically manifested as follows: the increase in communication frequency means an increase in the demand for data transmission of the self-powered smart shoes. In order to ensure the timeliness and accuracy of the data of the self-powered smart shoes, the sampling frequency of the internal sensors needs to be increased accordingly. This matching relationship ensures the continuity of the data stream, but also leads to an extension of the sensor working time, thereby increasing the total operating power consumption of the internal sensors. Due to the increase in the sensor sampling frequency and the total operating power consumption, the battery needs to provide more energy to support this change, resulting in the battery operating at a higher load level. This high-load operation accelerates the discharge process of the battery, so that the operating voltage of the battery will often increase accordingly, further resulting in a higher total operating power consumption of the battery. The comprehensive analysis of the above parameters shows that the comprehensive energy consumption of the self-powered smart shoes remains at a high level when they are not used for a long time, which directly leads to unnecessary energy waste.

[0066] Furthermore, the comprehensive evaluation of the comprehensive energy consumption index of the self-generating intelligent shoes specifically refers to obtaining the power consumption data of the battery of the self-generating intelligent shoes during the operation detection cycle and the power consumption data of each internal sensor of the self-generating intelligent shoes during the operation detection cycle, and comprehensively evaluating the comprehensive energy consumption index of the self-generating intelligent shoes. The specific evaluation process is: obtaining the communication frequency of the self-generating intelligent shoes during the operation detection cycle, which is consistent with the communication frequency acquisition method of the self-generating intelligent shoes during the communication detection cycle.

[0067] The sampling frequency of each internal sensor of the self-powered smart shoe during the operation detection cycle is extracted from the power consumption data of each internal sensor of the self-powered smart shoe during the operation detection cycle; the total operating power consumption of each internal sensor of the self-powered smart shoe during the operation detection cycle is consistent with the method of obtaining the total operating power consumption of the battery of the self-powered smart shoe during the operation detection cycle; the sampling frequency of each internal sensor of the self-powered smart shoe during the operation detection cycle refers to the number of data samples of each internal sensor of the self-powered smart shoe during the operation detection cycle extracted from the self-powered smart shoe management platform, and the ratio processing is performed with the duration corresponding to the operation detection cycle, thereby obtaining the sampling frequency of each internal sensor of the self-powered smart shoe during the operation detection cycle.

[0068] The total operating power consumption of the battery of the self-powered smart shoes during the operating detection cycle and the average operating voltage of the battery of the self-powered smart shoes during the operating detection cycle are extracted from the power consumption data of the battery of the self-powered smart shoes during the operating detection cycle, thereby comprehensively analyzing the total operating power consumption of each internal sensor of the self-powered smart shoes during the operating detection cycle to obtain an evaluation method for the comprehensive energy consumption index of the self-powered smart shoes; the average operating voltage of the battery of the self-powered smart shoes during the operating detection cycle is obtained by measuring the voltage of the battery of the self-powered smart shoes at each operating detection time point during the operating detection cycle through a voltage sensor, and performing average processing to obtain the average operating voltage of the battery of the self-powered smart shoes during the operating detection cycle.

[0069] Step 4: Based on the comprehensive energy consumption index of the self-generating smart shoes, the self-generating smart shoes management platform controls the energy consumption of the self-generating smart shoes.

[0070] In a specific embodiment, the present invention achieves effective energy conservation and management by controlling the energy consumption of self-generating smart shoes that have not been used for a long time (i.e., idle state). This innovative design can automatically identify the idle period of the shoes and automatically adjust to a low-power mode, thereby greatly reducing unnecessary energy consumption and extending the service life and battery life of the smart shoes. In addition, intelligent energy consumption control also helps to reduce battery aging problems caused by long-term idleness of the self-generating smart shoes, thereby improving the total operating time and performance stability of the self-generating smart shoes.

[0071] Specifically, the self-generating smart shoe management platform controls the energy consumption of the self-generating smart shoe, and the specific control process is: The comprehensive energy consumption index of the self-generating intelligent shoes is compared with the comprehensive energy consumption threshold. If the comprehensive energy consumption index of the self-generating intelligent shoes is greater than the comprehensive energy consumption threshold, the comprehensive energy consumption index of the self-generating intelligent shoes is matched with the energy consumption adjustment set corresponding to each comprehensive energy consumption index interval stored in the control database, thereby obtaining and executing the energy consumption adjustment set of the self-generating intelligent shoes, and the self-generating intelligent shoes management platform completes the control processing of the energy consumption of the self-generating intelligent shoes; the above-mentioned comprehensive energy consumption threshold means that the minimum value of the reasonable range of the comprehensive energy consumption index of the self-generating intelligent shoes is extracted from the control database; in an example embodiment, assuming that the comprehensive energy consumption index of the self-generating intelligent shoes is greater than the comprehensive energy consumption threshold, the comprehensive energy consumption index of the self-generating intelligent shoes is K, which belongs to the comprehensive energy consumption index interval [K-65%, K+25%] stored in the control database, and the comprehensive energy consumption index interval [K-65%, K+25%] corresponds to The energy consumption adjustment set includes: reducing the communication frequency of the self-powered smart shoes to 40% of the existing communication frequency, optimizing the sampling frequency of each internal sensor to 40% of the existing sampling frequency, and event-driven sampling can also be used to adjust the power management strategy, such as enabling low-power power gating, and powering off unused circuit modules. When the adjusted comprehensive energy consumption index of the self-powered smart shoes is less than or equal to the comprehensive energy consumption threshold, it will automatically shut down. The energy consumption adjustment set of the self-powered smart shoes includes: reducing the communication frequency of the self-powered smart shoes to 40% of the existing communication frequency, optimizing the sampling frequency of each internal sensor to 40% of the existing sampling frequency, and event-driven sampling can also be used to adjust the power management strategy, such as enabling low-power power gating, and powering off unused circuit modules. When the adjusted comprehensive energy consumption index of the self-powered smart shoes is less than or equal to the comprehensive energy consumption threshold, it will automatically shut down.

[0072] If the comprehensive energy consumption index of the self-generating smart shoes is less than or equal to the comprehensive energy consumption threshold, the self-generating smart shoes management platform automatically shuts down the self-generating smart shoes, thereby completing the energy consumption control of the self-generating smart shoes; the above-mentioned automatic shutdown of the self-generating smart shoes refers to the self-generating smart shoes management platform sending an automatic shutdown instruction to the self-generating smart shoes, wherein the automatic shutdown instruction is also re-encoded, and the encoded automatic shutdown instruction is encapsulated into a data packet, which is sent to the self-generating smart shoes through network communication, and the communication module inside the self-generating smart shoes receives the data packet and parses it into the original instruction sequence, which is passed to the control unit or microprocessor of the smart shoes, and the control unit automatically shuts down the self-generating smart shoes according to the content of the instruction sequence.

[0073] It needs to be explained that if the comprehensive energy consumption index of the self-powered smart shoes is greater than the comprehensive energy consumption threshold, it will not be automatically shut down directly, but the comprehensive energy consumption index of the self-powered smart shoes will be reduced to less than or equal to the comprehensive energy consumption threshold. The reason is: direct power off may cause the electronic components inside the self-powered smart shoes to cool down rapidly due to the sudden loss of power support, thereby causing deformation or damage to the components. In particular, for devices containing energy storage elements such as batteries, direct power off may cause a sudden current surge, causing an impact on the self-powered smart shoes. By gradually reducing the energy consumption to a low level and then shutting down, the self-powered smart shoes can be given a buffer process, which helps to reduce the mechanical and thermal stress caused by sudden power outages, thereby extending the overall operating time of the self-powered smart shoes.

[0074] In a specific embodiment, the present invention provides a smart shoe and a control processing method based on the self-powered smart shoe, which collects and analyzes the data transmission parameters of the self-powered smart shoe, thereby controlling and processing the data transmission of the self-powered smart shoe in a targeted manner, and under the condition of ensuring the stability of the data transmission of the self-powered smart shoe, the static factor of the self-powered smart shoe is analyzed through the monitoring data of each internal sensor of the self-powered smart shoe, and it is determined whether the self-powered smart shoe has not been used for a long time. If it is determined to be so, the energy consumption analysis of the self-powered smart shoe is performed, and the energy consumption of the self-powered smart shoe is controlled and processed, thereby reducing the waste of energy resources of the self-powered smart shoe during the idle time period and extending the total operating time of the self-powered smart shoe.

[0075] A second aspect of the present invention provides a self-generating smart shoe that uses the control processing method based on the self-generating smart shoe, including: a self-generating smart shoe and a self-generating smart shoe management platform; the self-generating smart shoe is connected to the self-generating smart shoe management platform through network communication, and the self-generating smart shoe is controlled through the communication data transmission function.

[0076] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A control processing method based on self-generating intelligent shoes, characterized in that: include: Step 1: Collect the data transmission parameters of the self-powered smart shoes, determine the data transmission quality index of the self-powered smart shoes, and compare it with the data transmission quality threshold. If the data transmission quality index of the self-powered smart shoes is less than the data transmission quality threshold, the self-powered smart shoes management platform controls the data transmission of the self-powered smart shoes; Step 2: Based on the control processing of the data transmission of the self-powered smart shoes, the monitoring data of each internal sensor of the self-powered smart shoes are collected, and the static factors of the self-powered smart shoes are analyzed; Step 3: Compare the static factor of the self-powered smart shoes with the static threshold. If the static factor of the self-powered smart shoes is greater than the static threshold, obtain the power consumption data of the battery of the self-powered smart shoes and the power consumption data of each internal sensor of the self-powered smart shoes, and comprehensively evaluate the comprehensive energy consumption index of the self-powered smart shoes. Step 4: Based on the comprehensive energy consumption index of the self-generating smart shoes, the self-generating smart shoes management platform controls the energy consumption of the self-generating smart shoes.

2. The control processing method based on the self-generating smart shoes according to claim 1 is characterized in that: The specific determination process of determining the data transmission quality index of the self-powered smart shoes is as follows: Extracting the communication frequency of the self-powered smart shoes in the communication detection period and the total amount of data sent by the self-powered smart shoes in the communication detection period from the data transmission parameters of the self-powered smart shoes; The sending time point of each data packet of the self-powered intelligent shoes within the communication detection period and the receiving time point of each data packet are extracted from the data transmission parameters of the self-powered intelligent shoes, and the receiving time point of each data packet is difference processed with the sending time point corresponding to each data packet. The processing result is marked as the sending duration of each data packet of the self-powered intelligent shoes within the communication detection period, thereby comprehensively obtaining a method for determining the data transmission quality index of the self-powered intelligent shoes.

3. The control processing method based on the self-generating smart shoes according to claim 1 is characterized in that: The self-powered smart shoe management platform controls the data transmission of the self-powered smart shoe, and the specific control process is: If the data transmission quality index of the self-powered smart shoes is less than the data transmission quality threshold, the data transmission quality index of the self-powered smart shoes is matched with the data transmission adjustment set corresponding to each data transmission quality index interval stored in the control database, thereby obtaining and executing the data transmission adjustment set of the self-powered smart shoes, and the self-powered smart shoes management platform completes the control processing of the data transmission of the self-powered smart shoes; If the data transmission quality index of the self-powered smart shoes is greater than or equal to the data transmission quality threshold, the monitoring data of each internal sensor of the self-powered smart shoes are directly collected.

4. The control processing method based on the self-generating smart shoes according to claim 1 is characterized in that: The analyzing of the static factors of the self-powered smart shoes specifically refers to collecting monitoring data of each internal sensor of the self-powered smart shoes during an operation detection cycle, and analyzing the static factors of the self-powered smart shoes through the monitoring data of each internal sensor of the self-powered smart shoes during an operation detection cycle.

5. The control processing method based on the self-generating intelligent shoes according to claim 1 is characterized in that: The specific analysis process of the static factors of the self-generating smart shoes is as follows: Obtaining an operating power curve of a battery of the self-generating smart shoes during an operation detection cycle, and performing definite integral processing, the processing result is marked as the total operating power consumption of the battery of the self-generating smart shoes during the operation detection cycle; Obtain the total amount of data sent by the self-powered smart shoes during the operation detection cycle; At the same time, the average temperature inside the self-powered intelligent shoes during the operation detection cycle and the average pressure inside the self-powered intelligent shoes during the operation detection cycle are extracted from the monitoring data of each internal sensor of the self-powered intelligent shoes during the operation detection cycle, thereby comprehensively obtaining an analysis method for the static factors of the self-powered intelligent shoes.

6. The control processing method based on the self-generating smart shoes according to claim 1 is characterized in that: The static factor of the self-generating smart shoes is compared with the static threshold, and the specific comparison process is as follows: If the static factor of the self-powered smart shoe is less than or equal to the static threshold, the monitoring data of each internal sensor of the self-powered smart shoe is continuously collected, and the static factor of the self-powered smart shoe is continuously evaluated.

7. The control processing method based on the self-generating intelligent shoes according to claim 1 is characterized in that: The comprehensive evaluation of the comprehensive energy consumption index of the self-powered smart shoes specifically refers to obtaining the power consumption data of the battery of the self-powered smart shoes during the operation detection cycle and the power consumption data of each internal sensor of the self-powered smart shoes during the operation detection cycle, and comprehensively evaluating the comprehensive energy consumption index of the self-powered smart shoes. The specific evaluation process is as follows: Obtain the communication frequency of the self-powered smart shoes during the operation detection cycle; Extracting the total power consumption of each internal sensor of the self-powered smart shoe during the operation detection cycle and the sampling frequency of each internal sensor of the self-powered smart shoe during the operation detection cycle from the power consumption data of each internal sensor of the self-powered smart shoe during the operation detection cycle; An evaluation method for the comprehensive energy consumption index of the self-powered smart shoes is obtained by extracting the average operating voltage of the battery of the self-powered smart shoes during the operation detection cycle from the power consumption data of the battery of the self-powered smart shoes during the operation detection cycle, thereby comprehensively analyzing the total operating power consumption of the battery of the self-powered smart shoes during the operation detection cycle.

8. The control processing method based on the self-generating intelligent shoes according to claim 7 is characterized in that: The comprehensive energy consumption index of the self-generating smart shoes is specifically evaluated by: ； in, is the comprehensive energy consumption index of the self-generating smart shoes. The communication frequency of the self-powered smart shoes during the operation detection cycle, is the total power consumption of the dth internal sensor of the self-powered smart shoe during the operation detection cycle, is the sampling frequency of the dth internal sensor of the self-generating smart shoe during the operation detection cycle, is the total power consumption of the battery of the self-generating smart shoes during the operation detection cycle, is the average working voltage of the battery of the self-generating smart shoes during the operation detection cycle, e is a natural constant, To control the influence factor corresponding to the communication frequency unit value preset in the database, To control the influence factor corresponding to the unit value of the total power consumption of the sensor operation preset in the database, To control the impact factor corresponding to the sampling frequency unit value preset in the database, To control the impact factor corresponding to the unit value of the total battery power consumption preset in the database, is the influence factor corresponding to the average working voltage unit value preset in the control database, d is the number of each internal sensor, , f is the total number of internal sensors.

9. The control processing method based on the self-generating intelligent shoes according to claim 1 is characterized in that: The self-generating smart shoe management platform controls the energy consumption of the self-generating smart shoe, and the specific control process is: The comprehensive energy consumption index of the self-generating smart shoes is compared with the comprehensive energy consumption threshold. If the comprehensive energy consumption index of the self-generating smart shoes is greater than the comprehensive energy consumption threshold, the comprehensive energy consumption index of the self-generating smart shoes is matched with the energy consumption adjustment set corresponding to each comprehensive energy consumption index interval stored in the control database, thereby obtaining and executing the energy consumption adjustment set of the self-generating smart shoes, and the self-generating smart shoes management platform completes the control processing of the energy consumption of the self-generating smart shoes; If the comprehensive energy consumption index of the self-generating smart shoes is less than or equal to the comprehensive energy consumption threshold, the self-generating smart shoes management platform automatically shuts down the self-generating smart shoes, thereby completing the energy consumption control of the self-generating smart shoes.

10. A self-generating smart shoe, used to implement the control processing method based on the self-generating smart shoe according to any one of claims 1 to 9, characterized in that: include: Self-powered smart shoes and a self-powered smart shoe management platform; The self-powered smart shoes are connected to the self-powered smart shoes management platform via network communication, and the self-powered smart shoes are controlled via a communication data transmission function.

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