CN107535479B

CN107535479B - Intelligent insect killing method and device based on Internet of things

Info

Publication number: CN107535479B
Application number: CN201710762581.6A
Authority: CN
Inventors: 杜光东
Original assignee: Shenzhen Shenglu IoT Communication Technology Co Ltd
Current assignee: Shenzhen Shenglu IoT Communication Technology Co Ltd
Priority date: 2017-08-28
Filing date: 2017-08-28
Publication date: 2020-11-27
Anticipated expiration: 2037-08-28
Also published as: CN107535479A

Abstract

The embodiment of the invention relates to the technical field of Internet of things, and discloses an intelligent insect killing method and device based on the Internet of things. Wherein, the method comprises the following steps: the method comprises the steps of receiving position information acquired by a position sensor, then determining the position where insects gather according to more than one piece of received position information, and spraying insecticide at the position where the insects gather, so that the insects in an office area can be effectively killed, and sanitation of the office area is guaranteed.

Description

Intelligent insect killing method and device based on Internet of things

Technical Field

The invention relates to the technical field of Internet of things, in particular to an intelligent insect killing method and device based on the Internet of things.

Background

People are used to store fruits, snacks and the like in offices, however, the living of insects (mice and cockroaches) is easy to be introduced, and the sanitation condition of the office environment is influenced. In order to remove the insects, people can lure the insects to eat the insecticide by placing the bait, thereby killing the insects.

However, in the above manner, there are cases where food as bait is eaten and insecticide is not eaten by insects, and the effect of killing is not good.

Therefore, how to effectively kill insects in office areas becomes a problem to be solved urgently.

Disclosure of Invention

The embodiment of the invention provides an intelligent insect killing method and device based on the Internet of things, which can effectively kill insects in an office area so as to ensure the sanitation of the office area.

The embodiment of the invention discloses an intelligent insect killing method based on the Internet of things, which comprises the following steps:

receiving position information acquired by a position sensor;

determining the position of the gathered insects according to the received more than one position information;

spraying insecticide at the location where the insects gather.

In the embodiment, the insecticide can be accurately sprayed at the position where the insects gather, so that the insects can be effectively killed, and the sanitation condition of the environment is improved.

As an optional implementation, the method further comprises:

determining a high-frequency activity route of the insects according to the more than one position information;

acquiring a superposition area of the high-frequency activity route and an office area in an office;

spraying an insecticide on the overlapped area.

In this embodiment, the insecticide may be sprayed at a high frequency of insect activity in an office area, saving both the amount of insecticide and avoiding irritation to the user from over-spraying the insecticide as compared to a full spray.

As an optional implementation, the method further comprises:

monitoring the ambient light brightness through an ambient light sensor;

if the ambient light brightness is lower than a preset brightness threshold, judging that the current time is non-office time;

the spray insecticide comprises:

insecticide was sprayed at the off-office hours.

In this embodiment, whether the time is office time (the night light-on condition is avoided being judged as non-office time) is determined by the brightness of the ambient light, and the insecticide is sprayed only in the non-office time, so that the irritation and the damage of the insecticide to the human body are avoided.

As an alternative embodiment, the position sensor is a nanosensor;

before the receiving the position information acquired by the position sensor, the method further comprises:

mixing the nanosensor in food that attracts insects to allow the insects to ingest the nanosensor;

the receiving of the position information acquired by the position sensor includes:

acquiring position information of the nanosensor in the insect body;

the determining the location of the collection of insects according to the received more than one location information comprises:

acquiring the position information of the nanosensors in more than one insect body, and determining the number of the insects gathered in the plurality of areas according to the position information of the nanosensors in more than one insect body; the plurality of regions includes a first region;

if the number of the insects in the first area is larger than a preset number threshold, determining the first area as the position where the insects gather.

In the embodiment, the position and the number of the insects are accurately determined by the nano sensor through a method of inducing the insects to eat the nano sensor, so that the targeted spraying of the insecticide on the positions where the insects appear and the places where the insects are large in number is facilitated.

As an alternative embodiment, the determining the high-frequency activity route of the insects according to the more than one position information includes:

obtaining location information of the nanosensors within a single insect at different times to generate an activity course for a single insect;

counting the activity routes of more than one insect, and comprehensively analyzing the activity routes of more than one insect to determine the high-frequency activity routes of the insects;

if the ambient light brightness is lower than a preset brightness threshold, determining that the current time is non-office time, including:

sending a request message to a server corresponding to the office area to acquire an office schedule of the office area;

and determining that the current time is not office time corresponding to the office area according to the office schedule, and determining the current time as the non-office time under the condition that the environmental light brightness is lower than the preset brightness threshold.

In the embodiment, the non-office time is accurately judged through the environmental light brightness and the office schedule of the office area, so that the situation that the workers in the office area spray insecticide to stimulate the human body during working is avoided.

As an optional implementation, the method further comprises:

acquiring an infrared thermodynamic diagram of the office area through an infrared sensor at the non-office time;

determining whether the office area is occupied according to the infrared thermodynamic diagram;

if the office area has people, determining the detected people as first people;

starting a camera to acquire the facial information of the first person, and transmitting the facial information of the first person to a server corresponding to the office area to verify whether the first person is a worker corresponding to the office area;

if the first person is not the staff corresponding to the office area, saving the facial information of the first person and informing security staff corresponding to the office area that illegal persons enter the office area; recording a video aiming at the first person, and sending the video to the security personnel; and

and if the first person is a worker corresponding to the office area, outputting voice prompt information in the office area to prompt the first person of the preset pesticide spraying time.

The determining whether the office area is occupied according to the infrared thermodynamic diagram comprises the following steps:

performing edge extraction on the infrared thermodynamic diagram according to the temperature to obtain a first contour and a background area; the first profile is a maximum connected domain in the infrared thermodynamic diagram; the background area is an area of the infrared thermodynamic diagram except the first contour, and the temperature mean value corresponding to the first contour is higher than the temperature mean value corresponding to the background area;

performing pattern recognition on the first contour to determine whether the first contour is a human body contour, and if so, determining that a person is in the office area; if not, determining that no person exists in the office area.

In the embodiment, the personnel appearing in the office area in the non-office time are supervised, so that the security level of the office area is improved while the stimulation of the operation of killing the insects on the human body is avoided, and the property damage caused by the immersion of the foreign personnel is avoided.

As an optional implementation, after outputting the voice prompt message to prompt the first person for the preset pesticide spraying time in the office area, the method further comprises:

activating more than one camera to capture motion information of the first person;

identifying the action information of the first person;

if the action of the first person is to shake the palm left and right, the operation of spraying the insecticide in the insecticide spraying time is cancelled;

monitoring whether the first person is away from the office area;

if the time after the first person leaves the office area exceeds a preset time threshold, executing the operation of spraying the insecticide;

the method further comprises the following steps:

acquiring the air flow rate of the office area through an air quality sensor;

determining the number of insects at the position where the insects gather according to the more than one position information;

calculating the amount of pesticide according to the air flow rate and the number of the insects;

the spray insecticide comprises:

and spraying the insecticide according to the dosage of the insecticide.

In this embodiment, the execution time of the killing operation is flexibly adjusted by monitoring the movement of the person who moves in the office area during the non-office time. Meanwhile, the sprayed pesticide amount is adjusted according to the air flow rate of an office area and the number of insects to be killed, and if the air flow rate is high, the sprayed pesticide amount is increased to obtain a better killing effect; if the air flow rate is low, the dosage of the sand blasting is reduced, so that the situation that the residual pesticide concentration is too high to cause stimulation to the body of a user when the user comes to work in the office area on the next day is avoided; meanwhile, if the number of nymphs is large, the pesticide dosage is increased, and if the number of nymphs is small, the pesticide dosage is reduced, so that the dosage of the pesticide is saved while the nymphs effectively kill the nymphs.

The second aspect of the embodiment of the invention discloses an intelligent insect killing device based on the internet of things, which comprises:

the receiving unit is used for receiving the position information acquired by the position sensor;

the first determining unit is used for determining the position of the gathered insects according to the received more than one piece of position information;

a first killing unit for spraying an insecticide at a location where the insects gather.

As an optional implementation, the apparatus further comprises:

the second determining unit is used for determining a high-frequency activity route of the insects according to the more than one position information;

the acquisition unit is used for acquiring a superposition area of the high-frequency activity route and an office area in an office;

and the second killing unit is used for spraying insecticide on the overlapped area.

As an optional implementation, the apparatus further comprises:

the monitoring unit is used for monitoring the brightness of the environment light through the environment light sensor;

the judging unit is used for judging that the current time is the non-office time if the ambient light brightness is lower than a preset brightness threshold;

the first killing unit and the second killing unit are specifically used for:

insecticide was sprayed at the off-office hours.

As an alternative embodiment, the position sensor is a nanosensor;

the device further comprises:

a mixing unit for mixing the nanosensor in food for inducing insects to ingest the nanosensor;

the receiving unit is specifically configured to:

acquiring position information of the nanosensor in the insect body;

the first determination unit includes:

the first acquiring subunit is used for acquiring the position information of the nanosensors in more than one insect body and determining the number of the insects gathered in the plurality of areas according to the position information of the nanosensors in more than one insect body; the plurality of regions includes a first region;

a first determining subunit, configured to determine the first area as a location where the insects are gathered if the number of the insects in the first area is greater than a preset number threshold.

As an optional implementation manner, the second determining unit includes:

a second acquiring subunit, configured to acquire position information of the nanosensors within a single insect body at different times to generate an activity route of the single insect;

the statistic subunit is used for counting the activity routes of more than one insect and comprehensively analyzing the activity routes of more than one insect to determine the high-frequency activity route of the insect;

the determination unit includes:

a third acquiring subunit, configured to send a request message to a server corresponding to the office area to acquire an office schedule of the office area;

and the second determining subunit is configured to determine, according to the office schedule, that the current time is not office time corresponding to the office area, and determine the current time as the non-office time when the ambient light brightness is lower than the preset brightness threshold.

According to the technical scheme, the embodiment of the invention has the following advantages:

in the embodiment of the invention, the position information acquired by the position sensor is received, then the position where the insects gather is determined according to more than one piece of received position information, and the insecticide is sprayed at the position where the insects gather, so that the insects in an office area can be effectively killed, and the sanitation of the office area is ensured.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart of an intelligent pest killing method based on the internet of things according to the embodiment of the invention;

fig. 2A is a schematic flow chart of another intelligent pest killing method based on the internet of things according to the embodiment of the invention;

fig. 2B is an interaction diagram of an internet of things-based insecticidal system according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an intelligent insecticidal device based on the internet of things according to the embodiment of the invention;

fig. 4 is a schematic structural diagram of another intelligent insecticidal device based on the internet of things according to the embodiment of the invention;

FIG. 5 is a schematic structural diagram of an XX unit disclosed in the embodiments of the present invention;

fig. 6 is a schematic structural diagram of a server according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, or apparatus.

The embodiment of the invention provides an intelligent insect killing method and device based on the Internet of things, which can effectively kill insects in an office area so as to ensure the sanitation of the office area. The following are detailed below.

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent pest killing method based on the internet of things according to an embodiment of the present invention. The execution subject of the method may be a dedicated insecticidal device, or may be a terminal device having computing capability and signal transmission and reception capability, such as a smart phone or a smart watch, and the following description will be given taking the execution subject as a dedicated insecticidal device as an example. The intelligent insect killing method based on the internet of things shown in fig. 1 can comprise the following steps:

101. and receiving the position information acquired by the position sensor.

In the embodiment of the present invention, the position sensor is a nano sensor, and the nano sensor is a sensor with a size of a nanometer level to a millimeter level, so that the size of the nano sensor is small enough, the nano sensor may only include a position feedback function, but not include other functions.

As an alternative embodiment, the nano-sensor may be a prototype electronic chip with a diameter of 1 mm, which has only a position feedback function and is wrapped in a smooth capsule-type container; when the capsule container is eaten by insects, the capsule container is melted in the alimentary canal of the insects to expose the electronic chip; the electronic chip is started after exposure, and position information begins to be fed back to the insect killing device. And after receiving the position information, the insecticidal device determines the distribution positions of the insects according to the acquired position information.

As another alternative, the nanosensor may be a food particle carrying a radioactive element. The special insect killing device has a radioactivity detection function, and position information of the nano sensor is obtained by detecting radioactivity. It should be noted that the food carrying radioactive elements is a substance with low radioactivity and no harm to human body, such as carbon 14; the carbon 14 element has been used for breath tests to detect helicobacter pylori infection, and the professional evaluation reports confirm that the carbon 14 breath test has negligible radiation risk to patients and operators and is clinically safe to use. Therefore, the food containing the carbon 14 element can be used as a nano sensor or a carrier of the nano sensor, and the radioactivity is detected by the insecticidal device to obtain the position information of the nano sensor.

102. Determining a location of the collection of insects based on the received more than one location information.

In the embodiment of the invention, a large number of nano sensors are mixed in food for attracting insects, so that a plurality of insects can be absorbed into the nano sensors, then the position distribution of the insects is determined according to the position information fed back by the nano sensors, and an area with high insect density is selected from the positions of the insect distribution to serve as the position for gathering the insects.

103. Spraying insecticide at the location where the insects gather.

In the embodiment of the invention, the position of the gathered insects is determined by the nano sensor, so that the insecticide can be sprayed in a targeted manner, the killing efficiency is improved, and the waste of the insecticide is reduced.

Therefore, by using the method described in fig. 1, the position information acquired by the position sensor is received, then the position where the insects gather is determined according to more than one piece of received position information, and the insecticide is sprayed at the position where the insects gather, so that the insects in the office area can be effectively killed, and the sanitation of the office area is ensured.

Referring to fig. 2A, fig. 2A is a schematic flow chart of another intelligent pest killing method based on the internet of things according to the embodiment of the present invention. As shown in fig. 2, the method may include the steps of:

201. and sending a request message to a server corresponding to the office area to acquire an office schedule of the office area.

202. And acquiring the ambient light brightness through an ambient light sensor under the condition that the current time is determined not to be the office time corresponding to the office area according to the office schedule.

203. And under the condition that the ambient light brightness is lower than a preset brightness threshold value, judging that the current moment is the non-office moment.

204. And determining the gathered position of the insects according to the position information of the insects acquired by the position sensor.

205. In the case of non-office hours, the insecticide is sprayed at the location where the insects gather.

In the embodiment of the invention, whether the current time is the office time is accurately judged by combining the office schedule corresponding to the office area and the environmental light brightness of the office area, so that the situation that a worker is mistakenly judged as the non-office time to spray the insecticide when working is avoided; and the situation that the probability that the staff appears in an office area is high in the specified office time, and the environment light brightness is temporarily lower than the preset environment light brightness to trigger the insecticide spraying is also avoided.

Referring to fig. 2B, fig. 2B is an interaction diagram of an intelligent insecticidal system 200 based on the internet of things according to an embodiment of the present invention. As shown in fig. 2B, the terminal device may be used as a controller of the pest killing system, and the terminal device sends a request message to the server to obtain an office schedule of an office area, and receives ambient light information transmitted from the ambient light sensor; then determining whether the current time is non-office time according to the office schedule and the ambient light information; if yes, the terminal equipment receives the position information of the insects transmitted by the nano sensor, and the position of the gathered insects is obtained by counting the position information of the insects; and then the terminal equipment sends indication information to the sterilizer corresponding to the position where the insects are gathered so as to indicate the sterilizer to spray insecticide at the position where the insects are gathered.

Therefore, by using the method described in fig. 2A, the location information acquired by the location sensor is received, then the location where the insects gather is determined according to more than one received location information, and the insecticide is sprayed at the location where the insects gather, so that the insects in the office area can be effectively killed, and the sanitation of the office area is ensured.

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent insecticidal device based on the internet of things according to an embodiment of the present invention. As shown in fig. 3, the intelligent internet-of-things-based insecticidal device 300 may include:

a receiving unit 301, configured to receive position information acquired by a position sensor;

A first determining unit 302, configured to determine a location where the insects gather according to the received more than one location information;

A first killing unit 303 for spraying an insecticide at a location where the insects gather.

Therefore, by using the intelligent insecticidal device based on the internet of things and described in the figure 3, the position information acquired by the position sensor is received, the position where insects gather is determined according to more than one piece of received position information, and the insecticide is sprayed at the position where the insects gather, so that the insects in an office area can be effectively killed, and the sanitation of the office area is guaranteed.

Referring to fig. 4, fig. 4 is a schematic structural diagram of another intelligent pest killing device based on the internet of things according to the embodiment of the present invention. Wherein, the intelligent insecticidal device 400 based on internet of things shown in fig. 4 is optimized by the intelligent insecticidal device 300 based on internet of things shown in fig. 3, and compared with the device shown in fig. 3, the device shown in fig. 4 further includes:

a second determining unit 304, configured to determine a high-frequency activity route of the insects according to the more than one location information;

an acquisition unit 305 configured to acquire an overlapping area of the high-frequency activity route and an office area in an office;

a second killing unit 306 for spraying an insecticide on the overlapped area.

As an optional implementation manner, the internet-of-things-based insecticidal device 400 further includes:

a monitoring unit 307 for monitoring the ambient light brightness through an ambient light sensor;

a determining unit 308, configured to determine that the current time is non-office time if the ambient light brightness is lower than a preset brightness threshold;

the first killing unit 303 and the second killing unit 306 are specifically configured to: insecticide was sprayed at the off-office hours.

A mixing unit 309 for mixing the nanosensor in food for attracting insects to allow the insects to ingest the nanosensor.

As an alternative implementation manner, please refer to fig. 5, where fig. 5 is a schematic structural diagram of a first determining unit 302 according to an embodiment of the present invention. As shown in fig. 5, the first determining unit 302 includes:

a first acquiring subunit 3021, configured to acquire position information of the nanosensors within more than one insect body, and determine the number of insects gathering in a plurality of regions according to the position information of the nanosensors within the more than one insect body; the plurality of regions includes a first region;

a first determining subunit 3022, configured to determine the first area as a location where the insects are gathered if the number of the insects in the first area is greater than a preset number threshold.

In addition, the second determining unit 304 may include:

a second acquiring subunit, configured to acquire position information of the nanosensors within a single insect body at different times to generate an activity route of the single insect; the statistic subunit is used for counting the activity routes of more than one insect and comprehensively analyzing the activity routes of more than one insect to determine the high-frequency activity route of the insect;

and, the determination unit 308 may include:

Therefore, by using the intelligent insecticidal device based on the internet of things and described in the figure 4, the position information acquired by the position sensor is received, the position where insects gather is determined according to more than one piece of received position information, and the insecticide is sprayed at the position where the insects gather, so that the insects in an office area can be effectively killed, and the sanitation of the office area is guaranteed.

Referring to fig. 6, fig. 6 is a schematic structural diagram of a server 600 according to an embodiment of the present invention, where the server 600 may be used as a server in the intelligent insect repelling method based on the internet of things, and is used to perform operations of determining classification of insects according to images of the insects, and verifying whether a first person is a worker corresponding to an office area.

Server 600 may vary widely by configuration or performance and may include one or more CPUs 622 (e.g., one or more processors) and memory 632, one or more storage media 630 (e.g., one or more mass storage devices) storing applications 642 or data 644. Memory 632 and storage medium 630 may be, among other things, transient or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 622 may be configured to communicate with the storage medium 630 and execute a series of instruction operations in the storage medium 630 on the server 600.

The server 600 may also include one or more power supplies 626, one or more wired or wireless network interfaces 650, one or more input-output interfaces 658, and/or one or more operating systems 641, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a terminal device 700 according to an embodiment of the present invention. In the embodiment of the invention, the intelligent insect repelling method based on the Internet of things can be realized based on a special insect repelling device and can also be realized by utilizing the conventional terminal equipment. The terminal device (also referred to as a terminal) may include a mobile phone, a personal computer, and the like. The following description will be made with the terminal device as a mobile phone. As shown in fig. 7, for convenience of illustration, only the portion related to the embodiment of the present invention is shown, and details of the technique are not disclosed, please refer to the method portion of the embodiment of the present invention. The terminal may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), a vehicle-mounted computer, etc., taking the terminal as the mobile phone as an example:

fig. 7 is a block diagram illustrating a partial structure of a mobile phone related to a terminal provided in an embodiment of the present invention. Referring to fig. 7, the handset includes: a Radio Frequency (RF) circuit 701, a memory 702, an input unit 703, a display unit 704, a sensor 705, an audio circuit 706, a wireless fidelity (WiFi) module 707, a processor 708, and a power supply 709. Those skilled in the art will appreciate that the handset configuration shown in fig. 7 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 7:

the RF circuit 701 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 708; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 701 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, RF circuit 701 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 702 may be used to store software programs and modules, and the processor 708 executes various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 702 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 703 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 703 may include a touch panel 7031 and other input devices 7032. The touch panel 7031, also referred to as a touch screen, may collect touch operations performed by a user on or near the touch panel 7031 (e.g., operations performed by the user on or near the touch panel 7031 using any suitable object or accessory such as a finger, a stylus, etc.), and drive corresponding connection devices according to a preset program. Alternatively, the touch panel 7031 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 708, and can receive and execute commands sent by the processor 708. In addition, the touch panel 7031 can be implemented by various types such as resistive, capacitive, infrared, and surface acoustic wave. The input unit 703 may include other input devices 7032 in addition to the touch panel 7031. In particular, other input devices 7032 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 704 may be used to display information input by the user or information provided to the user and various menus of the cellular phone. The Display unit 704 may include a Display panel 7041, and optionally, the Display panel 7041 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 7031 may cover the display panel 7041, and when the touch panel 7031 detects a touch operation on or near the touch panel 7031, the touch operation is transmitted to the processor 708 to determine the type of the touch event, and then the processor 708 provides a corresponding visual output on the display panel 7041 according to the type of the touch event. Although in fig. 6, the touch panel 7031 and the display panel 7041 are two separate components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 7031 and the display panel 7041 may be integrated to implement the input and output functions of the mobile phone.

The handset may also include at least one sensor 705, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display panel 7041 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 7041 and/or a backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The audio circuitry 706, speaker 7061, and microphone 7062 may provide an audio interface between the user and the handset. The audio circuit 706 can transmit the electrical signal converted from the received audio data to the speaker 7061, and the electrical signal is converted into a sound signal by the speaker 7061 and output; on the other hand, the microphone 7062 converts the collected sound signal into an electric signal, which is received by the audio circuit 706 and converted into audio data, which is then processed by the audio data output processor 708, and then transmitted to, for example, another cellular phone via the RF circuit 701, or the audio data is output to the memory 702 for further processing.

WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 707, and provides wireless broadband internet access for the user. Although fig. 7 shows the WiFi module 707, it is understood that it does not belong to the essential constitution of the handset, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 708 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 702 and calling data stored in the memory 702, thereby performing overall monitoring of the mobile phone. Alternatively, processor 708 may include one or more processing units; preferably, the processor 708 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 708.

The handset also includes a power source 709 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 708 via a power management system, such that the power management system may manage charging, discharging, and power consumption.

Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.

In the foregoing embodiment, the method flows of the steps may be implemented based on the structure of the terminal device. Where both the application layer and the operating system kernel can be viewed as components of the abstract structure of processor 708.

In an embodiment of the present invention, processor 708, by invoking program code stored in memory 702, is configured to perform the following operations:

receiving position information acquired by a position sensor;

spraying insecticide at the location where the insects gather.

It should be noted that, in the embodiment of the intelligent insecticidal device based on the internet of things, each unit included in the embodiment is only divided according to functional logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

In addition, it is understood by those skilled in the art that all or part of the steps in the above method embodiments may be implemented by related hardware, and the corresponding program may be stored in a computer readable storage medium, where the above mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the embodiment of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An intelligent insect killing method based on the Internet of things is characterized by comprising the following steps:

incorporating a nanosensor in food that attracts insects to cause the insects to ingest the nanosensor, the nanosensor comprising: an electronic chip with a position feedback function or food particles carrying radioactive elements;

acquiring position information of the nanosensor in the insect body;

determining a location of an aggregation of insects from the received more than one location information, comprising: acquiring the position information of the nanosensors in more than one insect body, and determining the number of the insects gathered in the plurality of areas according to the position information of the nanosensors in more than one insect body; the plurality of regions includes a first region; if the number of the insects in the first area is larger than a preset number threshold, determining the first area as a position where the insects gather;

acquiring an infrared thermodynamic diagram of an office area through an infrared sensor in non-office time;

when the fact that the office area is not occupied is determined according to the infrared thermodynamic diagram, acquiring the air flow rate of the office area through an air quality sensor;

determining the number of insects at the location of the insect gather from the location information of the nanosensors within the more than one insect;

and spraying insecticide at the position where the insects gather according to the insecticide dosage.

2. The method of claim 1, further comprising:

spraying an insecticide on the overlapped area.

3. The method of claim 2, further comprising:

monitoring the ambient light brightness through an ambient light sensor;

the spray insecticide comprises:

insecticide was sprayed at the off-office hours.

4. The method of claim 3, wherein determining a high frequency activity course for an insect from the more than one location information comprises:

5. The utility model provides an intelligence insecticidal device based on thing networking which characterized in that includes:

a mixing unit for mixing a nanosensor in food for attracting insects to allow the insects to ingest the nanosensor, the nanosensor comprising: an electronic chip with a position feedback function or food particles carrying radioactive elements;

a receiving unit for acquiring position information of the nanosensor in the body of the pest; the infrared thermodynamic diagram acquisition system is also used for acquiring the infrared thermodynamic diagram of an office area through an infrared sensor in non-office time; the infrared thermodynamic diagram is also used for determining that when the office area is not occupied, the air flow rate of the office area is obtained through an air quality sensor;

the first determining unit is used for determining the position of the gathered insects according to the received more than one piece of position information; the number of the insects at the position where the insects are gathered is determined according to the position information of the nano sensors in the more than one insects; and also for calculating the amount of insecticide based on the air flow rate and the number of insects; the first determination unit includes: the first acquiring subunit is used for acquiring the position information of the nanosensors in more than one insect body and determining the number of the insects gathered in the plurality of areas according to the position information of the nanosensors in more than one insect body; the plurality of regions includes a first region; a first determining subunit, configured to determine the first area as a location where the insects are gathered if the number of the insects in the first area is greater than a preset number threshold;

a first killing unit for spraying an insecticide at a position where the insects gather according to the amount of the insecticide.

6. The apparatus of claim 5, further comprising:

7. The apparatus of claim 6, further comprising:

the first killing unit and the second killing unit are specifically used for:

insecticide was sprayed at the off-office hours.

8. The apparatus of claim 7, wherein the second determining unit comprises:

the determination unit includes: