CN117228021B

CN117228021B - Unmanned aerial vehicle charging and discharging adjustment method and system for identifying sorghum pests

Info

Publication number: CN117228021B
Application number: CN202311513766.5A
Authority: CN
Inventors: 曾广; 粟小娓; 闫松显; 吴开贤
Original assignee: Guizhou Aerospace Intelligent Agriculture Co ltd; Moutai University
Current assignee: Guizhou Aerospace Intelligent Agriculture Co ltd; Moutai University
Priority date: 2023-11-14
Filing date: 2023-11-14
Publication date: 2024-01-19
Anticipated expiration: 2043-11-14
Also published as: CN117228021A

Abstract

The invention relates to the technical field of energy system optimization, and discloses a unmanned aerial vehicle charge and discharge regulation method and system for identifying sorghum pest categories, wherein the method comprises the following steps: the method comprises the steps of obtaining energy storage parameters of a new energy storage battery, calling a preset model to calculate and obtain the safe electric capacity of the new energy storage battery, measuring and obtaining the actual electric capacity of the new energy storage battery by utilizing a pre-installed electric capacity measuring instrument, starting a charging unit if the safe electric capacity is larger than the actual electric capacity, starting a discharging unit if the safe electric capacity is smaller than the actual electric capacity, starting an energy storage unit if the safe electric capacity is equal to the actual electric capacity, monitoring the real-time safe electric capacity of the new energy storage battery in real time by the energy storage unit, dynamically switching a charging pile unit, and realizing dynamic energy storage optimization of a silent flying unmanned aerial vehicle. The invention mainly aims to solve the problem of insufficient consideration of energy storage technology in the current mute flying unmanned aerial vehicle.

Description

Unmanned aerial vehicle charging and discharging adjustment method and system for identifying sorghum pests

Technical Field

The invention relates to a unmanned aerial vehicle charge and discharge regulation method and system for identifying sorghum pests, belonging to the technical field of energy system optimization.

Background

Along with the continuous development of scientific technology, intelligent technology is becoming more and more popular, and particularly in the large-scale sorghum agricultural planting industry, pests can be identified through unmanned aerial vehicles or monitoring equipment at present. For supervisory equipment, unmanned aerial vehicle's flexibility is higher, more can in time discover the multiple pest in sorghum planting district, but need emphasize that, if unmanned aerial vehicle that the power is big because the influence of flight noise can lead to the pest to keep away from the unmanned aerial vehicle of high noise, consequently must use silence flight unmanned aerial vehicle, and is natural, silence flight unmanned aerial vehicle power is little, built-in new energy storage battery's energy storage is also relatively less, need in time charge for new energy storage battery, prevent silence flight unmanned aerial vehicle lack of electricity and lose flight ability.

In addition, the development of deep learning changes many industries, and in particular, in order to effectively identify the types of sorghum pests and prevent detection errors of the sorghum pests, a pest target detection algorithm constructed by deep learning is generally embedded in the mute flying unmanned aerial vehicle. However, a large amount of computing resources are consumed for each operation of the pest target detection algorithm constructed by deep learning, so that power supply pressure is caused to the new energy storage battery again, and how to identify sorghum pests and simultaneously safely supply power for the mute flying unmanned aerial vehicle in time is a major consideration problem.

At present, the mute flying unmanned aerial vehicle directly supplements electric energy from a charging pile, but long-time high-load work leads to high safety risk of a new energy storage battery embedded in the mute flying unmanned aerial vehicle, and the dynamic adjustment of how to construct the energy storage mode of the new energy storage battery is a technical problem to be solved urgently.

Disclosure of Invention

The invention provides an unmanned aerial vehicle charge and discharge regulation method, a system and a computer readable storage medium for identifying sorghum pest types, and mainly aims to solve the problem of insufficient consideration of energy storage technology in a current mute flying unmanned aerial vehicle.

In order to achieve the above object, the unmanned aerial vehicle charge and discharge regulation method for identifying sorghum pest categories provided by the invention comprises the following steps:

receiving a category identification instruction of sorghum pests, and starting a plurality of mute flying unmanned aerial vehicles according to the category identification instruction, wherein each mute flying unmanned aerial vehicle is embedded with a pest target detection algorithm, the pest target detection algorithm is constructed by deep learning, so that multiple types of pests can be identified, and meanwhile, the mute flying unmanned aerial vehicles are all provided with new energy storage batteries;

acquiring energy storage parameters of a new energy storage battery, and calling a preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery;

Measuring the actual capacitance of the new energy storage battery by utilizing a capacitance measuring instrument which is pre-installed in the silent flying unmanned aerial vehicle;

selecting a charging pile unit closest to the silent flying unmanned aerial vehicle, and landing the silent flying unmanned aerial vehicle to the charging pile unit, wherein the charging pile unit comprises a charging unit, a discharging unit and an energy storage unit;

comparing the safety capacitance with the actual capacitance, if the safety capacitance is larger than the actual capacitance, starting a charging unit, setting charging current, and calculating the charging time of the new energy storage battery by using an energy storage time calculation model;

monitoring the actual capacitance in real time in the charging time until the actual capacitance is equal to the safety capacitance, ending charging, and accessing an energy storage unit;

if the safe capacitance is smaller than the actual capacitance, starting a discharge unit, setting discharge power, and calculating the discharge time of the new energy storage battery by using a discharge time calculation model;

monitoring the actual capacitance in real time in the discharging time until the actual capacitance is equal to the safety capacitance, ending discharging, and accessing an energy storage unit;

If the safe capacitance is equal to the actual capacitance, starting an energy storage unit, calculating the real-time safe capacitance of the new energy storage battery in real time by using a battery safety coefficient model, comparing the real-time safe capacitance with the actual capacitance, if the real-time safe capacitance is larger than the actual capacitance, accessing a charging unit, and if the real-time safe capacitance is smaller than the actual capacitance, accessing a discharging unit, until the real-time safe capacitance is equal to the actual capacitance, driving a silent flying unmanned aerial vehicle to leave the charging pile unit, and simultaneously starting a pest target detection algorithm to continuously realize the class identification of sorghum pests;

the obtaining the energy storage parameter of the new energy storage battery, and calling a preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery comprises the following steps:

logging in a central controller of the mute flying unmanned aerial vehicle, and acquiring a working report of the mute flying unmanned aerial vehicle stored in the central controller;

searching and extracting a first working parameter of a new energy storage battery in the working report, wherein the first working parameter comprises the daily average power consumption, the longest continuous working time and the storage battery discharging depth of the silent flying unmanned aerial vehicle;

The configuration parameters of the new energy storage battery are called, wherein the configuration parameters comprise the factory safety coefficient and the factory temperature correction coefficient of the new energy storage battery;

and calling a safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery;

the step of calculating the safe capacitance of the new energy storage battery by calling the safe capacitance formula comprises the following steps:

and (3) calling the following model to calculate to obtain the safe capacitance of the new energy storage battery:

;

wherein BC is the safe capacitance of the new energy storage battery,factory safety factor for the new energy storage battery,/-for>For said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>Representing average daily power consumption;

the method for calculating the real-time safe capacitance of the new energy storage battery in real time by utilizing the battery safety coefficient model comprises the following steps:

acquiring a second working parameter of a new energy storage battery in the working report, wherein the second working parameter comprises a stable working voltage value, a voltage fluctuation value, a diode voltage reduction value and an instant voltage reduction value caused by unknown reasons of the mute flying unmanned aerial vehicle;

reading a thermometer pre-installed in the silent flying unmanned aerial vehicle;

Substituting the stable working voltage value, the voltage fluctuation value, the diode voltage reduction value and the instantaneous voltage reduction value caused by unknown reasons of the mute flying unmanned aerial vehicle into the following battery safety coefficient model, and calculating to obtain the real-time safety coefficient of the new energy storage battery:

wherein,for the real-time safety factor of the new energy accumulator, < >>For the stable operating voltage value of said silent flying drone +.>For the voltage fluctuation value, < >>For the diode step-down value, +.>For the momentary voltage drop caused by said unknown reasons +.>Reading for the thermometer;

substituting the real-time safety coefficient into a preset real-time safety capacitance formula to calculate the real-time safety capacitance of the new energy storage battery, wherein the real-time safety capacitance formula is as follows:

wherein,indicating the real-time safe capacitance.

Optionally, the measuring the actual capacitance of the new energy storage battery by using a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle includes:

starting the capacitance measuring instrument, and reading an ammeter reading of the capacitance measuring instrument at the first time to obtain a first current value;

Reading an ammeter reading of the capacitance measuring instrument at a second time to obtain a second current value;

the actual capacitance of the new energy storage battery is calculated by using the following formula:

wherein BR is the actual capacitance of the new energy storage battery, t0 is the first time, t1 is the second time,for the first current value, +.>Is the second current value.

Optionally, if the safe capacitance is greater than the actual capacitance, starting a discharging unit, setting a charging current, and calculating the charging time of the new energy storage battery by using an energy storage time calculation model, including:

calculating the difference value that the actual capacitance is lower than the safe capacitance to obtain the quasi-charging electric quantity;

setting charging current as working stable current of the new energy storage battery;

and obtaining the charging time of the new energy storage battery by using the following energy storage time calculation model:

wherein,for the charging time of the new energy accumulator, < >>And I is the working stable current of the new energy storage battery for the quasi-charging electric quantity.

Optionally, if the safe capacitance is smaller than the actual capacitance, starting a discharge unit, setting discharge power, and calculating the discharge time of the new energy storage battery by using a discharge time calculation model, including:

Calculating the difference value of the safe capacitance lower than the actual capacitance to obtain the electric quantity to be discharged;

setting discharge power as the stable electric power of the new energy storage battery;

and obtaining the discharging time of the new energy storage battery by using the following discharging time calculation model:

wherein,for the discharge time of the new energy accumulator, < >>And P is the working stable electric power of the new energy storage battery for the quasi-discharge electric quantity.

Optionally, the setting the charging current to be the working stable current of the new energy storage battery includes:

setting the charging voltage of the mute flying unmanned aerial vehicle as a stable working voltage value of the mute flying unmanned aerial vehicle in the second working parameters;

invoking a resistance value in the configuration parameters of the silent flying unmanned aerial vehicle;

and calculating the working stable current of the new energy storage battery by using the following formula:

wherein,for the operation stabilization current of the new energy accumulator, < > for the new energy accumulator>The stable working voltage value of the mute flying unmanned aerial vehicle is obtained, and R is the resistance value;

and adjusting the charging current of the mute flying unmanned aerial vehicle to be the working stable current.

Optionally, the setting the discharge power to be the operation stable electric power of the new energy storage battery includes:

and calculating the working stable electric power of the new energy storage battery by using the following formula:

wherein,the stable working voltage value of the mute flying unmanned aerial vehicle is obtained, and R is the resistance value;

and adjusting the discharge power of the mute flying unmanned aerial vehicle to be the working stable electric power.

In order to solve the above problems, the present invention also provides an unmanned aerial vehicle charge and discharge adjustment system for sorghum pest classification recognition, the system comprising:

the system comprises a category identification instruction receiving module, a plurality of silencing flying unmanned aerial vehicles, a plurality of control modules and a plurality of control modules, wherein the category identification instruction receiving module is used for receiving category identification instructions of sorghum pests, and starting the plurality of silencing flying unmanned aerial vehicles according to the category identification instructions, each silencing flying unmanned aerial vehicle is embedded with a pest target detection algorithm, the pest target detection algorithm is built by deep learning, multiple types of pests can be identified, and meanwhile, the silencing flying unmanned aerial vehicles are all provided with new energy storage batteries;

the charging pile unit selection module is used for obtaining energy storage parameters of a new energy storage battery, calling a preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery, obtaining the energy storage parameters of the new energy storage battery, calling the preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery, and comprises the following steps: logging in a central controller of the mute flying unmanned aerial vehicle, acquiring a working report of the mute flying unmanned aerial vehicle stored in the central controller, and searching and extracting a first working parameter of a new energy storage battery in the working report, wherein the first working parameter comprises daily average power consumption, longest continuous working time and storage battery discharge depth of the mute flying unmanned aerial vehicle; the configuration parameters of the new energy storage battery are called, wherein the configuration parameters comprise a factory safety coefficient and a factory temperature correction coefficient of the new energy storage battery, a safety capacitance formula is called to calculate to obtain the safety capacitance of the new energy storage battery, and the configuration parameters comprise the following steps: and (3) calling the following model to calculate to obtain the safe capacitance of the new energy storage battery:

Wherein BC is the safe capacitance of the new energy storage battery,factory safety factor for the new energy storage battery,/-for>For said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>For the real-time safety factor of the new energy accumulator, < >>Representing average daily power consumption;

the charging module is used for measuring the actual capacitance of the new energy storage battery by utilizing a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle, selecting a charging pile unit closest to the silent flying unmanned aerial vehicle, starting the charging pile unit, and landing the silent flying unmanned aerial vehicle to the charging pile unit, wherein the charging pile unit comprises a charging unit, a discharging unit and an energy storage unit, comparing the safety capacitance with the actual capacitance, if the safety capacitance is larger than the actual capacitance, starting the charging unit, setting charging current, calculating the charging time of the new energy storage battery by utilizing an energy storage time calculation model, monitoring the actual capacitance in real time in the charging time until the actual capacitance is equal to the safety capacitance, ending charging, and accessing the energy storage unit;

The discharging module is used for starting the discharging unit, setting discharging power and calculating the discharging time of the new energy storage battery by using an energy discharging time calculation model if the safe capacitance is smaller than the actual capacitance, monitoring the actual capacitance in real time in the discharging time until the actual capacitance is equal to the safe capacitance, ending discharging and accessing the energy storage unit;

the energy storage dynamic optimization module is used for starting the energy storage unit if the safe capacitance is equal to the actual capacitance, calculating the real-time safe capacitance of the new energy storage battery in real time by utilizing the battery safety factor model, comparing the real-time safe capacitance with the actual capacitance, accessing the charging unit if the real-time safe capacitance is larger than the actual capacitance, accessing the discharging unit if the real-time safe capacitance is smaller than the actual capacitance until the real-time safe capacitance is equal to the actual capacitance, driving the mute flying unmanned aerial vehicle to leave the charging pile unit and simultaneously starting the pest target detection algorithm to continuously realize the category identification mute flying unmanned aerial vehicle of the sorghum pests, and calculating the real-time safe capacitance of the new energy storage battery in real time by utilizing the battery safety factor model, and comprises the following steps: obtaining a second working parameter of the new energy storage battery in the working report, wherein the second working parameter comprises a stable working voltage value, a voltage fluctuation value, a diode voltage reduction value and an instant voltage reduction value caused by unknown reasons of the silent flying unmanned aerial vehicle, reading a thermometer reading which is pre-installed in the silent flying unmanned aerial vehicle, substituting the stable working voltage value, the voltage fluctuation value, the diode voltage reduction value, the instant voltage reduction value caused by unknown reasons and the thermometer reading into the following battery safety coefficient model, and calculating to obtain a real-time safety coefficient of the new energy storage battery:

Wherein,for the real-time safety factor of the new energy accumulator, < >>For the stable operating voltage value of said silent flying drone +.>For the voltage fluctuation value, < >>For the diode step-down value, +.>For the momentary voltage drop caused by said unknown reasons +.>Reading for the thermometer; substituting the real-time safety coefficient into a preset real-time safety capacitance formula to calculate the real-time safety capacitance of the new energy storage battery, wherein the real-time safety capacitance formula is as follows:

wherein,indicating the real-time safe capacitance.

In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to implement the unmanned aerial vehicle charge-discharge adjustment method for sorghum pest category identification described above.

In order to solve the above problems, the present invention also provides a computer-readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the above unmanned aerial vehicle charge and discharge adjustment method for sorghum pest category identification.

Compared with the problems in the prior art, the embodiment of the invention firstly obtains the energy storage parameters of the silent flying unmanned aerial vehicle, comprises two parts of working parameters and configuration parameters, substitutes the energy storage parameters into a preset safe capacitance calculation formula to calculate the safe capacitance of the new energy storage battery, simultaneously calculates the actual capacitance of the new energy storage battery by using a first current value of a capacitance measuring instrument which is pre-installed in the silent flying unmanned aerial vehicle at a first time and a second current value of a capacitance measuring instrument at a second time, secondly compares the magnitudes of the safe capacitance and the actual capacitance, selects a charging pile unit closest to the silent flying unmanned aerial vehicle to be started, starts the charging unit if the safe capacitance is larger than the actual capacitance, starts the discharging unit if the safe capacitance is smaller than the actual capacitance, and starts the discharging unit if the safe capacitance is equal to the actual capacitance, starting an energy storage unit, judging the state of a new energy storage battery in real time, selecting an energy storage mode according to the difference between the ideal state-safe capacitance and the actual state-actual capacitance of the storage battery, effectively overcoming the problem of insufficient consideration of the current charging pile energy storage technology to the state of a silent flying unmanned aerial vehicle, setting charging current as working stable current of the new energy storage battery when a charging unit works, calculating and obtaining the charging time of the new energy storage battery by using an energy storage time calculation model, monitoring the actual capacitance in real time in the charging time until the actual capacitance is equal to the safe capacitance, ending charging, accessing the energy storage unit, setting discharging power as working stable electric power of the new energy storage battery when a discharging unit works, and calculating the discharging time of the new energy storage battery by using an energy discharging time calculation model, monitoring the actual electric capacity in real time until the actual electric capacity is equal to the safe electric capacity, ending discharging, accessing an energy storage unit, calculating the real-time safe electric capacity of the new energy storage battery in real time by using a battery safety factor model when the energy storage unit works, comparing the real-time safe electric capacity with the actual electric capacity, and re-accessing the charging unit if the real-time safe electric capacity is larger than the actual electric capacity, and re-accessing the discharging unit if the real-time safe electric capacity is smaller than the actual electric capacity until the real-time safe electric capacity is equal to the actual electric capacity, thereby realizing energy storage optimization of the silent flying unmanned aerial vehicle. Make up for the deficiency of the current charging pile energy storage technology. Therefore, the unmanned aerial vehicle charge and discharge regulation method, the system, the electronic equipment and the computer readable storage medium for identifying the sorghum pest category can solve the problem of insufficient consideration of the energy storage technology in the current mute flying unmanned aerial vehicle.

Drawings

Fig. 1 is a schematic flow chart of an unmanned aerial vehicle charge-discharge adjustment method for identifying sorghum pest types according to an embodiment of the present invention;

fig. 2 is a functional block diagram of an unmanned aerial vehicle charge-discharge adjustment system for identifying sorghum pest categories according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device for implementing the unmanned aerial vehicle charge-discharge adjustment method for identifying sorghum pest types according to an embodiment of the present invention.

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

The embodiment of the application provides an unmanned aerial vehicle charge and discharge adjustment method for identifying sorghum pest categories. The execution main body of the unmanned aerial vehicle charge-discharge regulation method for identifying the sorghum pest category comprises at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the unmanned aerial vehicle charge and discharge adjustment method for sorghum pest category recognition may be performed by software or hardware installed at a terminal device or a server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

Example 1

Referring to fig. 1, a flow chart of an unmanned aerial vehicle charge-discharge adjustment method for identifying sorghum pest categories according to an embodiment of the invention is shown. In this embodiment, the unmanned aerial vehicle charge and discharge adjustment method for identifying sorghum pest categories includes:

s1, receiving a category identification instruction of sorghum pests, and starting a plurality of mute flying unmanned aerial vehicles according to the category identification instruction, wherein each mute flying unmanned aerial vehicle is embedded with a pest target detection algorithm, the pest target detection algorithm is built by deep learning, multiple types of pests can be identified, and meanwhile, the mute flying unmanned aerial vehicles are all provided with new energy storage batteries.

It can be understood that along with the continuous development of scientific technology, intelligent technology is becoming more and more popular, and particularly in the large-scale agricultural planting industry, the situation of manually detecting pests in agricultural planting areas in real time is impractical, and the pests can be identified through unmanned aerial vehicles or monitoring equipment at present. In particular, in the sorghum planting industry, since sorghum is easily affected by pests, it is extremely important to detect the affected sorghum in a timely and effective manner.

For supervisory equipment, unmanned aerial vehicle's flexibility is higher, more can in time discover the multiple pest in sorghum planting district, but need emphasize that, if unmanned aerial vehicle that the power is big because the influence of flight noise can lead to the pest to keep away from the unmanned aerial vehicle of high noise, consequently must use silence flight unmanned aerial vehicle, and it is natural can understand that silence flight unmanned aerial vehicle power is little, built-in new energy storage battery's energy storage is also relatively less, need in time charge for new energy storage battery, prevent silence flight unmanned aerial vehicle lack of electricity and lose flight ability.

In addition, development of deep learning changes many industries, in particular, in order to effectively identify the types of sorghum pests and prevent detection errors of the sorghum pests, a pest target detection algorithm constructed by the deep learning is embedded in the mute flying unmanned aerial vehicle in the embodiment of the invention, wherein the deep learning comprises but is not limited to current detection models such as SSD, YOLO and the like.

It should be explained that, a great deal of computing resources are consumed for each operation of the pest target detection algorithm constructed by deep learning, so that power supply pressure is caused to the new energy storage battery again, and how to identify sorghum pests and simultaneously safely supply power to the silent flying unmanned aerial vehicle in time is a problem to be considered in the embodiment of the invention.

S2, acquiring energy storage parameters of the new energy storage battery, calling a preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery, and measuring and obtaining the actual capacitance of the new energy storage battery by utilizing a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle.

It can be explained that the energy storage component of the current silent flying unmanned aerial vehicle is mostly composed of storage batteries, and after the production of each type of new energy storage battery, in order to ensure the normal operation of the silent flying unmanned aerial vehicle, standard energy storage parameters or recommended energy storage parameters are all available.

Specifically, the obtaining the energy storage parameter of the new energy storage battery, and calling a preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery includes:

and calling a safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery.

It is clear that the energy storage parameters of the new energy storage battery comprise two parts, one part is a working parameter, the other part is a configuration parameter, the two parts of parameters are both stored in the central controller of the mute flying unmanned aerial vehicle, wherein the working parameter is data of daily work of the mute flying unmanned aerial vehicle, and the working parameter is stored in a working report. According to the embodiment of the invention, the daily average power consumption, the longest continuous working time and the working parameters of the storage battery discharging depth of the mute flying unmanned aerial vehicle are called, the factory safety coefficient and the factory temperature correction coefficient configuration parameters of the new energy storage battery are called at the same time, the called energy storage parameters are substituted into the safe capacitance formula, and the safe capacitance of the new energy storage battery is calculated.

In detail, the step of calling the safe capacitance formula to calculate the safe capacitance of the new energy storage battery includes:

wherein BC is the safe capacitance of the new energy storage battery,factory safety factor for the new energy storage battery,/-for>For said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>For the real-time safety factor of the new energy accumulator, < >>Represents the average power consumption.

It should be explained that the configuration parameters of the new energy storage battery are only recommended parameters for ensuring the safe operation of the new energy storage battery, and in an actual working environment, the working state of the new energy storage battery may deviate from a standard state, which may cause a difference between the actual capacitance and the safe capacitance of the storage battery.

In detail, the measuring the actual capacitance of the new energy storage battery by using a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle comprises the following steps:

It should be noted that, in order to accurately measure the actual capacitance of the new energy storage battery, the capacitance measuring instrument is pre-installed in the silent flying unmanned aerial vehicle, and at the first time and the second time, the system automatically obtains the first current value and the second current value measured by the capacitance measuring instrument and substitutes the first current value and the second current value into a calculation formula of the actual capacitance to calculate the actual capacitance of the new energy storage battery.

S3, selecting a charging pile unit closest to the silent flying unmanned aerial vehicle to be started, and landing the silent flying unmanned aerial vehicle to the charging pile unit, wherein the charging pile unit comprises a charging unit, a discharging unit and an energy storage unit, comparing the safety capacitance with the actual capacitance, if the safety capacitance is larger than the actual capacitance, starting the charging unit, setting charging current, and calculating the charging time of the new energy storage battery by using an energy storage time calculation model.

It should be clear that the central controller of the silent flying unmanned aerial vehicle is not only responsible for storing the working parameters and the configuration parameters of the new energy storage battery, but also responsible for controlling the unit selection of the charging pile, wherein the charging pile unit comprises a charging unit, a discharging unit and an energy storage unit.

It should be explained that, when the actual capacitance of the new energy storage battery calculated in the embodiment of the present invention is lower than the safe capacitance, it indicates that the storage battery still has an energy storage space, and in order to ensure that the silent flying unmanned aerial vehicle achieves the expected working effect, the charging unit may be connected to increase the actual capacitance of the silent flying unmanned aerial vehicle.

Specifically, if the safe capacitance is greater than the actual capacitance, starting a charging unit, setting a charging current, and calculating the charging time of the new energy storage battery by using an energy storage time calculation model, wherein the method comprises the following steps:

It should be noted that when the silent flying unmanned aerial vehicle is charged, stability and safety of a charging process should be ensured, and in the embodiment of the invention, the charging current of the silent flying unmanned aerial vehicle is set as the working stable current, and the difference value of the actual capacitance lower than the safety capacitance and the working stable current are substituted into an energy storage time calculation model, so that the charging time of the new energy storage battery can be calculated, and after the charging time is completed, the actual capacitance is equal to the safety capacitance.

Further, the setting the charging current as the working stable current of the new energy storage battery includes:

It is clear that in daily life, to the operational environment of new energy storage battery, what can be convenient is direct intervention is the operating voltage of new energy storage battery, in order to realize setting up the charging current of new energy storage battery is job stabilization current, first needs with the charge voltage of silence flight unmanned aerial vehicle is set up as stable operating voltage value, next, the modulation is got the resistance value in the silence flight unmanned aerial vehicle configuration parameter, just can realize the adjustment and the setting of the job stabilization current of new energy storage battery.

And S4, monitoring the actual capacitance in real time in the charging time until the actual capacitance is equal to the safety capacitance, ending the charging, and accessing the energy storage unit.

It can be understood that in the charging time, the embodiment of the invention monitors the actual capacitance of the new energy storage battery in real time by using the capacitance measuring instrument, and when the detected actual capacitance is equal to the safe capacitance, the charging unit finishes working, and the central controller of the silent flying unmanned aerial vehicle is connected to the energy storage unit.

And S5, if the safe capacitance is smaller than the actual capacitance, starting a discharge unit, setting discharge power, and calculating the discharge time of the new energy storage battery by using a discharge time calculation model.

It should be understood that when the actual capacitance of the new energy storage battery calculated in the embodiment of the present invention is higher than the safe capacitance, it indicates that the storage battery energy storage exceeds the safe bearing range, and in order to ensure safe operation of the silent flying unmanned aerial vehicle, the central controller of the silent flying unmanned aerial vehicle should be connected to the discharging unit to reduce the actual capacitance of the new energy storage battery.

In detail, if the safe capacitance is smaller than the actual capacitance, starting a discharge unit, setting discharge power, and calculating the discharge time of the new energy storage battery by using a discharge time calculation model, wherein the method comprises the following steps:

wherein,for the discharge time of the new energy accumulator, < > >And P is the working stable electric power of the new energy storage battery for the quasi-discharge electric quantity.

It should be explained that, when the battery of the silent flying unmanned aerial vehicle is subjected to discharging operation, the discharging electric rate is stabilized, and the safety of the discharging process is ensured.

According to the step description of the embodiment of the invention, in daily life, for the working environment of the new energy storage battery, the working voltage of the new energy storage battery can be conveniently and directly interfered, in order to realize the setting of the discharging power of the new energy storage battery to work stable electric power, the discharging voltage of the mute flying unmanned aerial vehicle is firstly required to be set to be the stable working voltage value, and then the adjustment and the setting of the work stable electric power of the new energy storage battery can be realized by calling the resistance value in the configuration parameter of the mute flying unmanned aerial vehicle.

Specifically, the embodiment of the invention sets the set discharge power as the working stable electric power of the new energy storage battery, and comprises the following steps:

And S6, monitoring the actual capacitance in real time in the discharging time until the actual capacitance is equal to the safety capacitance, ending discharging, and accessing the energy storage unit.

It can be understood that in the discharging time, the embodiment of the invention monitors the actual capacitance of the new energy storage battery in real time by using the capacitance measuring instrument, and when the detected actual capacitance is equal to the safe capacitance, the discharging unit finishes working, and the central controller of the silent flying unmanned aerial vehicle is connected to the energy storage unit.

And S7, if the safe capacitance is equal to the actual capacitance, starting an energy storage unit, calculating the real-time safe capacitance of the new energy storage battery in real time by using a battery safety factor model, comparing the real-time safe capacitance with the actual capacitance, if the real-time safe capacitance is larger than the actual capacitance, accessing a charging unit, and if the real-time safe capacitance is smaller than the actual capacitance, accessing a discharging unit until the real-time safe capacitance is equal to the actual capacitance, driving a silent flying unmanned aerial vehicle to leave the charging pile unit and simultaneously starting a pest target detection algorithm to continuously realize the class identification of sorghum pests.

It should be explained that the safe working state of the new energy storage battery may be interfered by various factors, such as temperature, humidity, pressure, etc., and under the interference of the various factors, the safety coefficient of the new energy storage battery may change, so as to affect the safe capacitance of the new energy storage battery.

Specifically, the calculating, in real time, the real-time safe capacitance of the new energy storage battery by using the battery safety coefficient model includes:

wherein,for the real-time safety factor of the new energy accumulator, < >>For the stable operating voltage value of said silent flying drone +.>For the voltage fluctuation value, < >>For the diode step-down value, +.>For the momentary voltage drop caused by said unknown reasons +.>For the thermometer reading. />

Wherein,indicating the real-time safe capacitance.

It should be noted that, the factors affecting the safety coefficient of the new energy storage battery in the embodiment of the invention mainly include the stable working voltage value, the voltage fluctuation value, the diode voltage reduction value, the instantaneous voltage reduction value caused by unknown reasons of the silent flying unmanned aerial vehicle and the working temperature in the silent flying unmanned aerial vehicle, wherein the stable working voltage value, the voltage fluctuation value, the diode voltage reduction value and the instantaneous voltage reduction value caused by unknown reasons of the silent flying unmanned aerial vehicle are obtained by calling the working parameters of the central controller, the working temperature in the silent flying unmanned aerial vehicle is obtained by means of a temperature meter pre-installed in the silent flying unmanned aerial vehicle, the influencing factors are substituted into a battery safety coefficient model, the real-time safety coefficient of the new energy storage battery can be calculated, and then the real-time safety coefficient is substituted into the real-time safety capacitance formula to calculate the real-time safety capacitance of the new energy storage battery.

When the safe capacitance is equal to the actual capacitance, the central controller of the silent flying unmanned aerial vehicle starts an energy storage unit, calculates and compares the real-time safe capacitance of the new energy storage battery with the actual capacitance in real time, when the real-time safe capacitance of the new energy storage battery is judged to be larger than the actual capacitance, the storage battery of the silent flying unmanned aerial vehicle is considered to have an energy storage space, when the real-time safe capacitance of the new energy storage battery is judged to be smaller than the actual capacitance, the central controller starts a charging unit, and when the storage battery of the silent flying unmanned aerial vehicle is judged to be excessively stored, the central controller starts a discharging unit until the real-time safe capacitance of the new energy storage battery is equal to the actual capacitance again, and the embodiment of the invention realizes the dynamic energy storage optimization of the silent flying unmanned aerial vehicle.

Example 2

Fig. 2 is a functional block diagram of an intelligent recognition system for realizing sorghum pest category based on big data according to an embodiment of the present invention.

The intelligent recognition system 100 for realizing the sorghum pest category based on big data can be installed in electronic equipment. According to the implemented functions, the intelligent recognition system 100 for realizing the sorghum pest category based on big data can comprise a category recognition instruction receiving module 101, a charging pile unit selecting module 102, a charging module 103, a discharging module 104 and an energy storage dynamic optimizing module 105. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.

The class identification instruction receiving module 101 is configured to receive a class identification instruction of sorghum pests, and start a plurality of silent flying unmanned aerial vehicles according to the class identification instruction, wherein each silent flying unmanned aerial vehicle is embedded with a pest target detection algorithm, and the pest target detection algorithm is constructed by deep learning, so that multiple types of pests can be identified, and meanwhile, each silent flying unmanned aerial vehicle is provided with a new energy storage battery;

The charging pile unit selection module 102 is configured to obtain an energy storage parameter of a new energy storage battery, invoke a preset safe capacitance formula to calculate and obtain a safe capacitance of the new energy storage battery, obtain the energy storage parameter of the new energy storage battery, invoke the preset safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery, and include: logging in a central controller of the mute flying unmanned aerial vehicle, and acquiring a working report of the mute flying unmanned aerial vehicle stored in the central controller; searching and extracting a first working parameter of a new energy storage battery in the working report, wherein the first working parameter comprises the daily average power consumption, the longest continuous working time and the storage battery discharging depth of the silent flying unmanned aerial vehicle; the configuration parameters of the new energy storage battery are called, wherein the configuration parameters comprise the factory safety coefficient and the factory temperature correction coefficient of the new energy storage battery; and calling a safe capacitance formula to calculate and obtain the safe capacitance of the new energy storage battery; the step of calculating the safe capacitance of the new energy storage battery by calling the safe capacitance formula comprises the following steps: and (3) calling the following model to calculate to obtain the safe capacitance of the new energy storage battery:

the charging module 103 is configured to measure an actual capacitance of the new energy storage battery by using a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle, select a charging pile unit closest to the silent flying unmanned aerial vehicle to be started, drop the silent flying unmanned aerial vehicle to the charging pile unit, wherein the charging pile unit includes a charging unit, a discharging unit and an energy storage unit, compare the safe capacitance with the actual capacitance, if the safe capacitance is greater than the actual capacitance, start the charging unit, set a charging current, calculate a charging time of the new energy storage battery by using an energy storage time calculation model, monitor the actual capacitance in real time in the charging time until the actual capacitance is equal to the safe capacitance, and end charging and access the energy storage unit;

The discharging module 104 is configured to start the discharging unit, set the discharging power, calculate the discharging time of the new energy storage battery by using the discharging time calculation model if the safe capacitance is smaller than the actual capacitance, monitor the actual capacitance in real time in the discharging time until the actual capacitance is equal to the safe capacitance, end the discharging, and access the energy storage unit;

the energy storage dynamic optimization module 105 is configured to start the energy storage unit if the safe capacitance is equal to the actual capacitance, calculate the real-time safe capacitance of the new energy storage battery in real time by using a battery safety factor model, compare the real-time safe capacitance with the actual capacitance, access the charging unit if the real-time safe capacitance is greater than the actual capacitance, access the discharging unit if the real-time safe capacitance is less than the actual capacitance, and drive the silent flying unmanned aerial vehicle to leave the charging pile unit until the real-time safe capacitance is equal to the actual capacitance, and simultaneously start the pest target detection algorithm to continuously realize classification recognition of sorghum pests; the method for calculating the real-time safe capacitance of the new energy storage battery in real time by utilizing the battery safety coefficient model comprises the following steps: acquiring a second working parameter of a new energy storage battery in the working report, wherein the second working parameter comprises a stable working voltage value, a voltage fluctuation value, a diode voltage reduction value and an instant voltage reduction value caused by unknown reasons of the mute flying unmanned aerial vehicle; reading a thermometer pre-installed in the silent flying unmanned aerial vehicle; substituting the stable working voltage value, the voltage fluctuation value, the diode voltage reduction value and the instantaneous voltage reduction value caused by unknown reasons of the mute flying unmanned aerial vehicle into the following battery safety coefficient model, and calculating to obtain the real-time safety coefficient of the new energy storage battery:

wherein,indicating the real-time safe capacitance.

In detail, the modules in the system 100 for realizing intelligent recognition of sorghum pest category based on big data in the embodiment of the present invention adopt the same technical means as the unmanned aerial vehicle charge-discharge adjustment method for recognition of sorghum pest category described in fig. 1 and can produce the same technical effects, and are not described here again.

Example 3

Fig. 3 is a schematic structural diagram of an electronic device for implementing an unmanned aerial vehicle charge-discharge adjustment method for identifying sorghum pest types according to an embodiment of the present invention.

The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a smart identification program for sorghum pest category based on big data.

The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes for implementing a sorghum pest category intelligent recognition program based on big data, etc., but also for temporarily storing data that has been output or is to be output.

The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective parts of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory 11 (for example, implements a sorghum pest category intelligent recognition program based on big data, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.

Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.

For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.

Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.

The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.

It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.

The intelligent recognition program for realizing the sorghum pest category based on big data stored in the memory 11 in the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 10, the intelligent recognition program can realize:

wherein BC is the safe capacitance of the new energy storage battery,factory safety factor for the new energy storage battery,/-for >For said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>Representing average daily power consumption;

wherein,for the real-time safety factor of the new energy accumulator, < >>For the stable operating voltage value of said silent flying drone +.>For the voltage fluctuation value, < >>For the diode step-down value, +.>For the momentary voltage drop caused by said unknown reasons +. >Reading for the thermometer;

wherein,indicating the real-time safe capacitance.

Specifically, the specific implementation method of the above instruction by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.

Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).

The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:

wherein,indicating the real-time safe capacitance.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.

Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. The unmanned aerial vehicle charging and discharging adjustment method for identifying the sorghum pest category is characterized by comprising the following steps of:

;

wherein BC is the safe capacitance of the new energy storage battery,the factory safety coefficient of the new energy storage battery is used, For said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>Representing average daily power consumption;

;

wherein,indicating the real-time safe capacitance.

2. The unmanned aerial vehicle charge-discharge adjustment method for sorghum pest category recognition according to claim 1, wherein the measuring the actual capacitance of the new energy storage battery using a capacitance measuring instrument pre-installed in the silent flying unmanned aerial vehicle comprises:

;

3. The unmanned aerial vehicle charge-discharge regulation method for identifying sorghum pest category according to claim 1, wherein if the safe capacitance is larger than the actual capacitance, starting a charging unit, setting a charging current, and calculating the charging time of the new energy storage battery by using an energy storage time calculation model, comprising:

;

4. The unmanned aerial vehicle charge-discharge regulation method for identifying sorghum pest category according to claim 1, wherein if the safe capacitance is smaller than the actual capacitance, starting a discharge unit, setting discharge power, and calculating the discharge time of the new energy storage battery by using a discharge time calculation model, comprising:

;

5. The unmanned aerial vehicle charge-discharge regulation method for sorghum pest category identification of claim 3, wherein the setting of the charge current to be the operation stabilization current of the new energy storage battery comprises:

;

6. The unmanned aerial vehicle charge-discharge adjustment method for sorghum pest category recognition according to claim 4, wherein the setting of the discharge power to the operation-stable electric power of the new energy storage battery comprises:

;

7. Unmanned aerial vehicle charging and discharging adjusting system for identifying sorghum pest categories, which is characterized by comprising:

;

Wherein BC is the safe capacitance of the new energy storage battery,the factory safety coefficient of the new energy storage battery is used,for said longest continuous operation time, +.>CC is the depth of discharge of the storage battery for the factory temperature correction coefficient, < >>For the real-time safety factor of the new energy accumulator, < >>Representing average daily power consumption;

;

wherein,indicating the real-time safe capacitance.