CN108094352B - Information determination method and device - Google Patents
Information determination method and device Download PDFInfo
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- CN108094352B CN108094352B CN201711288974.4A CN201711288974A CN108094352B CN 108094352 B CN108094352 B CN 108094352B CN 201711288974 A CN201711288974 A CN 201711288974A CN 108094352 B CN108094352 B CN 108094352B
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
Abstract
The disclosure relates to an information determination method and device. The method comprises the following steps: acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species; determining the most distributed pest types in the preset space according to the historical distribution condition; selecting a deinsectization reagent suitable for the insect type according to the insect type. According to the technical scheme, the most distributed pest types are determined according to the historical distribution conditions, so that the pest killing reagent with the best pest killing effect can be selected according to the specific pest types, the pest killing efficiency is improved, and the user experience is improved.
Description
Technical Field
The present disclosure relates to the field of electronics, and in particular, to an information determining method and apparatus.
Background
With the development of science and technology, the types of insect killing reagents are very various, and each type of insect killing reagent has the insect species against which the reagent is directed, for example, cockroach pesticide is directed against cockroaches, mosquito killing liquid is directed against mosquitoes, and if an improper insect killing reagent is used, the insect killing effect cannot be achieved.
Disclosure of Invention
The embodiment of the disclosure provides an information determination method and device. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided an information determining method, including:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a deinsectization reagent suitable for the insect type according to the insect type.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: according to the historical distribution condition, the most distributed pest types are determined, so that the pest killing reagent with the best pest killing effect can be selected according to the specific pest types, the pest killing efficiency is improved, and the user experience is improved.
In one embodiment, the method further comprises:
shooting a current insect distribution image, wherein the insect distribution image displays insects in the preset space;
identifying the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and storing the current distribution situation into the historical distribution situation.
In one embodiment, the determining the most distributed types of insects in the preset space according to the historical distribution condition includes:
counting the types of insects and the number of each type of insects in the historical distribution condition;
and taking the first worm type with the number larger than a preset value as the most distributed worm type.
In one embodiment, the obtaining the historical distribution of the positions of the insect killers comprises:
acquiring the historical distribution condition;
or acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; and receiving the historical distribution condition sent by the server.
In one embodiment, after the selecting of the vermin exterminating agent suitable for the type of the vermin according to the type of the vermin, the method includes:
and generating prompt information for prompting a user to select the deinsectization reagent.
According to a second aspect of the embodiments of the present disclosure, there is provided an information determining apparatus including:
the acquisition module is used for acquiring the historical distribution condition of the insects in the preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
the determining module is used for determining the most distributed pest types in the preset space according to the historical distribution condition;
and the selection module is used for selecting the insect killing reagent suitable for the insect type according to the insect type.
In one embodiment, the apparatus further comprises:
the shooting module is used for shooting a current insect distribution image, and the insect distribution image is displayed on insects in the preset space;
the recognition module is used for recognizing the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and the storage module is used for storing the current distribution situation into the historical distribution situation.
In one embodiment, the determining module comprises:
the statistic submodule is used for counting the insect types and the number of each insect type in the historical distribution condition;
and the setting submodule is used for taking the first worm type with the number larger than the preset value as the most distributed worm type.
In one embodiment, the obtaining module comprises:
the first obtaining submodule is used for obtaining the historical distribution condition;
the second processing submodule is used for acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment;
the sending submodule is used for sending a distribution request for requesting the historical distribution situation to a server, and the distribution request carries the environmental information;
and the receiving submodule is used for receiving the historical distribution condition sent by the server.
In one embodiment, the apparatus comprises:
and the generating module is used for generating prompt information for prompting a user to select the deinsectization reagent.
According to a third aspect of the embodiments of the present disclosure, there is provided an information determining apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a deinsectization reagent suitable for the insect type according to the insect type.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flow chart illustrating an information determination method according to an example embodiment.
Fig. 2 is a flow chart illustrating an information determination method according to an example embodiment.
Fig. 3 is a flow chart illustrating an information determination method according to an example embodiment.
Fig. 4 is a flow chart illustrating an information determination method according to an example embodiment.
Fig. 5 is a flow chart illustrating an information determination method according to an example embodiment.
Fig. 6 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 7 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 8 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 9 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 10 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 11 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Fig. 12 is a block diagram illustrating an information determination apparatus according to an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating an information determining method according to an exemplary embodiment, where, as shown in fig. 1, the information determining method is used in an information determining device, which can be applied to a terminal and can also be applied to a pest killer, and the method includes the following steps 101 and 106:
in step 101, the historical distribution of the insects in the preset space is obtained.
The historical distribution condition comprises the distribution of the insect species in the preset space and the quantity of each insect species in the preset time.
The insect may be a moth, an insect, e.g., a mosquito, a fly, or the like. The preset space is a space which can be closed, such as a home, an office and the like of a user; or may be an open space, e.g. a garden, a pond.
In step 102, the most distributed pest types in the preset space are determined according to the historical distribution conditions.
In step 103, a disinsection agent suitable for the insect type is selected according to the insect type.
Here, the vermin exterminating agent suitable for the type of the vermin is an effective vermin exterminating agent for the type of the vermin.
In one embodiment, as shown in fig. 2, the method further comprises:
in step 104, a current insect distribution image is captured, and the insect distribution image shows the insects in the preset space.
The insect distribution image may be a high-definition image, and the insect distribution image may be obtained by shooting a preset space.
In step 105, identifying the current insect type and the number of each current insect type of the insects in the insect distribution image; and taking the current insect type and the number of each current insect type as the current distribution situation.
Here, the historical distribution includes periodically identified distribution information.
In step 106, the current distribution is stored in the historical distribution.
The history distribution in this embodiment may be obtained from a server, or may be stored in itself.
The steps 104-106 of the present embodiment may be performed periodically, for example, in a day period.
In one embodiment, as shown in fig. 3, the step 102 in fig. 1 of determining the most distributed types of worms in the preset space according to the historical distribution conditions may include:
at step 1021, the types of worms and the number of each worm type in the historical distribution are counted.
In step 1022, the first pest type with the number greater than the preset value is taken as the most distributed pest type.
The number can be sorted according to size, and the n types of the insects at the top of the sorting are used as the types of the insects with the most distribution.
In one embodiment, as shown in fig. 4, the step 101 of fig. 1, namely obtaining the historical distribution of the locations of the vermin exterminators, may include:
in step 1011, a history of distribution is obtained.
The execution main body of the embodiment can be a user terminal or a disinsector, so the history distribution situation can be stored by the execution main body.
In step 1012, environment information of a preset space is acquired.
Here, the environment information includes a geographical location, an altitude, and an environment.
In this embodiment, step 1012 may include:
the method comprises the steps of obtaining the geographical position of a preset space, obtaining the height of the preset space and obtaining the environment of the preset space.
Here, the geographic location may be located by a positioning system such as a global positioning system, beidou navigation, galileo, or the like; the positioning can also be carried out through the attribution of a mobile phone number, the area code of a fixed telephone, the fixed acquisition of a WiFi hotspot, the base station to which the user terminal belongs, the IP address of the user terminal and the like; the method can also be determined according to the receiving address and the delivery address of the takeout of the shopping website, and can also obtain the image recently shot by the user terminal and be determined by the symbolic building of the image.
Wherein the signal of at least one WiFi hotspot is received at any point in the city. Here, the hotspot must transmit signals to the surroundings whenever it is powered, regardless of how encrypted it is. The signal contains a unique global representation of this hotspot. Even if the connection cannot be established at a distance from the hotspot, its presence can be detected. Therefore, the positioning end only needs to listen to the hot spots nearby, detect the signal strength of each hot spot and then send the information to the server. The server inquires the coordinates of each hotspot recorded in the database according to the information, and the server can know the geographic position of the positioning end by operation and then tell the geographic position to the positioning end.
Correspondingly, the height can be measured by a tool with the elevation measuring function; the height is calculated by reference to the building in the most recently photographed picture.
Accordingly, the environment may be determined by viewing a photograph of the geographic location in the map, or by querying a database for the geographic location.
In step 1013, a distribution request for requesting a history distribution is sent to the server.
The distribution request carries environmental information.
In step 1014, the historical profile sent by the server is received.
first, there are cases where historical distributions are stored; second, the location of the device changes and the previous historical profile cannot be used as a reference.
In one embodiment, as shown in fig. 5, after step 103 in fig. 1, i.e., selecting a disinfestation agent suitable for the type of pest according to the type of pest, the method comprises:
in step 107, prompt information for prompting the user to select the vermin exterminating agent is generated.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 6 is a block diagram illustrating an information determination apparatus, which may be implemented as part or all of an electronic device through software, hardware, or a combination of both, according to an example embodiment. As shown in fig. 6, the information determining apparatus includes:
an obtaining module 201, configured to obtain historical distribution conditions of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
a determining module 202, configured to determine, according to the historical distribution condition, a type of the pest that is most distributed in the preset space;
a selecting module 203 for selecting the insect killing reagent suitable for the insect type according to the insect type.
In one embodiment, as shown in fig. 7, the apparatus further comprises:
the shooting module 204 is configured to shoot a current insect distribution image, where the insect distribution image shows insects in the preset space;
the identification module 205 is used for identifying the current pest type of the pest in the pest distribution image and the number of each current pest type; taking the current insect type and the number of each current insect type as the current distribution condition;
a storage module 206, configured to store the current distribution into the historical distribution.
In one embodiment, as shown in fig. 8, the determining module 202 includes:
the statistic submodule 2021 is used for counting the insect types and the number of each insect type in the historical distribution condition;
the setting sub-module 2022 is configured to use the first pest type with the number greater than the preset value as the most distributed pest type.
In one embodiment, as shown in fig. 9, the obtaining module 201 includes:
a first obtaining sub-module 2011, configured to obtain the historical distribution;
the second processing submodule 2012 is configured to obtain environment information of the preset space; the environment information comprises a geographic location, an altitude and an environment;
a sending submodule 2013, configured to send a distribution request for requesting the historical distribution situation to a server, where the distribution request carries the environment information;
and the receiving submodule 2014 is used for receiving the historical distribution condition sent by the server.
In one embodiment, as shown in fig. 10, the apparatus comprises:
a generating module 207, configured to generate prompt information for prompting a user to select the pest killing agent.
According to a third aspect of the embodiments of the present disclosure, there is provided an information determining apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a deinsectization reagent suitable for the insect type according to the insect type.
The processor may be further configured to:
the method further comprises the following steps:
shooting a current insect distribution image, wherein the insect distribution image displays insects in the preset space;
identifying the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and storing the current distribution situation into the historical distribution situation.
The determining the most distributed pest types in the preset space according to the historical distribution condition comprises:
counting the types of insects and the number of each type of insects in the historical distribution condition;
and taking the first worm type with the number larger than a preset value as the most distributed worm type.
The acquiring of the historical distribution situation of the positions of the insect killers comprises the following steps:
acquiring the historical distribution condition;
or acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; and receiving the historical distribution condition sent by the server.
After selecting a disinfestation agent suitable for the insect type according to the insect type, the method comprises the following steps:
and generating prompt information for prompting a user to select the deinsectization reagent.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The method further comprises the following steps:
shooting a current insect distribution image, wherein the insect distribution image displays insects in the preset space;
identifying the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and storing the current distribution situation into the historical distribution situation.
In one embodiment, the determining the most distributed types of insects in the preset space according to the historical distribution condition includes:
counting the types of insects and the number of each type of insects in the historical distribution condition;
and taking the first worm type with the number larger than a preset value as the most distributed worm type.
In one embodiment, the obtaining the historical distribution of the positions of the insect killers comprises:
acquiring the historical distribution condition;
or acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; and receiving the historical distribution condition sent by the server.
In one embodiment, after the selecting of the vermin exterminating agent suitable for the type of the vermin according to the type of the vermin, the method includes:
and generating prompt information for prompting a user to select the deinsectization reagent. Block diagram of an apparatus, which is suitable for a terminal device. For example, the apparatus 1700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
The processing component 1702 generally controls the overall operation of the apparatus 1700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. Processing component 1702 may include one or more processors 1720 to execute instructions to perform all or a portion of the steps of the above-described method. Further, processing component 1702 may include one or more modules that facilitate interaction between processing component 1702 and other components. For example, processing component 1702 may include a multimedia module to facilitate interaction between multimedia component 1708 and processing component 1702.
The memory 1704 is configured to store various types of data to support operations at the apparatus 1700. Examples of such data include instructions for any application or method operating on the apparatus 1700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1704 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 1706 provides power to the various components of the device 1700. The power components 1706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 1700.
The multimedia component 1708 includes a screen providing an output interface between the device 1700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 1700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The I/O interface 1712 provides an interface between the processing component 1702 and peripheral interface modules, such as a keyboard, click wheel, buttons, and the like. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 1714 includes one or more sensors for providing various aspects of state assessment for the apparatus 1700. For example, sensor assembly 1714 may detect an open/closed state of apparatus 1700, the relative positioning of components, such as a display and keypad of apparatus 1700, the change in position of apparatus 1700 or a component of apparatus 1700, the presence or absence of user contact with apparatus 1700, the orientation or acceleration/deceleration of apparatus 1700, and the change in temperature of apparatus 1700. The sensor assembly 1714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 1714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 1716 is configured to facilitate communications between the apparatus 1700 and other devices in a wired or wireless manner. The apparatus 1700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1716 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1716 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 1700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 1704 comprising instructions, executable by the processor 1720 of the apparatus 1700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Fig. 12 is a block diagram illustrating an apparatus for information determination according to an example embodiment. For example, the device 1900 may be provided as a bug killer. The device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
A non-transitory computer readable storage medium in which instructions, when executed by a processor of an apparatus 1700 or 1900, enable the apparatus 1700 or 1900 to perform the above-described information determination method, the method comprising:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space within a preset period of time and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a deinsectization reagent suitable for the insect type according to the insect type.
The method further comprises the following steps:
shooting a current insect distribution image, wherein the insect distribution image displays insects in the preset space;
identifying the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and storing the current distribution situation into the historical distribution situation.
The determining the most distributed pest types in the preset space according to the historical distribution condition comprises:
counting the types of insects and the number of each type of insects in the historical distribution condition;
and taking the first worm type with the number larger than a preset value as the most distributed worm type.
The acquiring of the historical distribution situation of the positions of the insect killers comprises the following steps:
acquiring the historical distribution condition;
or acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; and receiving the historical distribution condition sent by the server.
After selecting a disinfestation agent suitable for the insect type according to the insect type, the method comprises the following steps:
and generating prompt information for prompting a user to select the deinsectization reagent.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. An information determination method, comprising:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space in a preset time period and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a disinsection agent suitable for the insect type according to the insect type;
the acquiring of the historical distribution situation of the insects in the preset space comprises the following steps:
acquiring environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; receiving the historical distribution condition sent by the server;
after selecting a disinfestation agent suitable for the insect type according to the insect type, the method comprises the following steps: and generating prompt information for prompting a user to select the deinsectization reagent.
2. The method of claim 1, further comprising:
shooting a current insect distribution image, wherein the insect distribution image displays insects in the preset space;
identifying the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and storing the current distribution situation into the historical distribution situation.
3. The method according to claim 1, wherein the determining the most distributed types of insects in the preset space according to the historical distribution condition comprises:
counting the types of insects and the number of each type of insects in the historical distribution condition;
and taking the first worm type with the number larger than a preset value as the most distributed worm type.
4. An information determining apparatus, comprising:
the acquisition module is used for acquiring the historical distribution condition of the insects in the preset space; the historical distribution condition comprises the insect species distributed in the preset space in a preset time period and the quantity of each insect species;
the determining module is used for determining the most distributed pest types in the preset space according to the historical distribution condition;
the selecting module is used for selecting the insect killing reagent suitable for the insect type according to the insect type;
the acquisition module includes:
the second processing submodule is used for acquiring the environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment;
the sending submodule is used for sending a distribution request for requesting the historical distribution situation to a server, and the distribution request carries the environmental information;
the receiving submodule is used for receiving the historical distribution condition sent by the server;
the device comprises: and the generating module is used for generating prompt information for prompting a user to select the deinsectization reagent.
5. The apparatus of claim 4, further comprising:
the shooting module is used for shooting a current insect distribution image, and the insect distribution image is displayed on insects in the preset space;
the recognition module is used for recognizing the current pest type of the pest and the number of each current pest type in the pest distribution image; taking the current insect type and the number of each current insect type as the current distribution condition;
and the storage module is used for storing the current distribution situation into the historical distribution situation.
6. The apparatus of claim 4, wherein the determining module comprises:
the statistic submodule is used for counting the insect types and the number of each insect type in the historical distribution condition;
and the setting submodule is used for taking the first worm type with the number larger than the preset value as the most distributed worm type.
7. An information determining apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring the historical distribution condition of insects in a preset space; the historical distribution condition comprises the insect species distributed in the preset space in a preset time period and the quantity of each insect species;
determining the most distributed pest types in the preset space according to the historical distribution condition;
selecting a disinsection agent suitable for the insect type according to the insect type;
the processor is further configured to:
acquiring environmental information of the preset space; the environment information comprises a geographic location, an altitude and an environment; sending a distribution request for requesting the historical distribution situation to a server, wherein the distribution request carries the environmental information; receiving the historical distribution condition sent by the server;
the processor is further configured to: and after selecting the insect killing reagent suitable for the insect type according to the insect type, generating prompt information for prompting a user to select the insect killing reagent.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
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| CN201711288974.4A CN108094352B (en) | 2017-12-07 | 2017-12-07 | Information determination method and device |
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