CN205409235U - It lures an album detection device to store up grain pest - Google Patents
It lures an album detection device to store up grain pest Download PDFInfo
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- CN205409235U CN205409235U CN201521031560.XU CN201521031560U CN205409235U CN 205409235 U CN205409235 U CN 205409235U CN 201521031560 U CN201521031560 U CN 201521031560U CN 205409235 U CN205409235 U CN 205409235U
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Abstract
The utility model discloses an it lures an album detection device to store up grain pest, the device include that the pest lures an album unit, and based on the thigmotaxis of pest, the pest of piling the superficial layer to grain lures the collection, audio signal acquisition unit for the collection lures album voice signal of pest activity, the data processing unit, based on the pest audio information of database storage, album pest activity voice signal that lures that obtains the collection carries out analysis and comparison, obtains quantity and the kind of pest. This scheme structural design is simple, through the pest that sound sensor measuring corrugated container board lured the collection to arrive, in addition assay, and the practicality is strong, labour saving and time saving.
Description
Technical field
This utility model relates to insect and lures collection instrument, particularly relates to a kind of grain storage pest utilizing corrugated board to lure collection technology and audio detection technology and lures collection detection device.
Background technology
Grain is stored in each link puerperal, and the harm of grain storage pest is extremely serious, is the major reason causing grain loss, and grain storage departments at different levels all attach great importance to the preventing and controlling of grain storage pest.During preventing and treating, the monitoring of grain worm population dynamic and insect density inspection are the important evidence of preventing and controlling.Pest detection mainly or uses sample screening and artificial cognition at present.The workload of sample screening is big, labor intensity
Height, poor working environment, efficiency are low.And the artificial cognition conventional art that to be China have been used up, by the instrument such as magnifier, microscope or the kind of the most with the naked eye difference insect, and add up its quantity.The method workload is big, efficiency is low, operator quality requires height.For this problem, Chinese scholars does one's utmost to find rapid, accurate, highly sensitive and harmless to grain pest detection method, main useful ray method is by perspective corn detection insect, insect is detected by bio-heating effectiveness with Infrared Detection Method, it is analyzed by the gas that insect is sent by gas detecting method thus carries out pest detection, when changing according to testee moisture with electric-resistivity method, the change of its DC resistance detects, but these methods or somewhat expensive are inaccurate or time-consuming, actual application all there is certain limitation.Along with fast development and the extensive application of computer of acoustic technique, by the time-frequency characteristics that grain storage pest is movable in grain, insect is classified and qualification becomes a kind of possible.
Audio-frequency detection probe structure for grain injurious insects disclosed in the Chinese utility model patent of " ZL200420117725.0 " entitled " a kind of audio-frequency detection probe structure for grain injurious insects ", can be with the kind of Quick Acquisition to grain storage pest, insect density and the acoustical signature spectrum signal of the different extent of injury, but it is from containing in sensor noise, environmental noise, the signal noise primary speech signal equal to interference, extract useful grain worm active signal aspect, also in defect.
" CN201010034232.0 " entitled " a kind of grain worm detection device and method " utilizes audio detection technology to carry out grain worm detection, obtain insect locus by gathering insect audio frequency characteristics parameter cross-correlation function location Calculation and export number of pest, but pest species cannot be identified by method.
" CN201520328338 " entitled " a kind of novel grain storage pest sound detection device " carries out kind quantity detection by insect acoustical signal in multiple spot detection grain heap to insect.Due to the heap that substantially stores up grain, need to arrange substantial amounts of sound transducer, cause application cost higher.
Utility model content
For solving above-mentioned technical problem, this utility model employing following technical proposals:
A kind of grain storage pest lures collection detection device, and this device includes
Insect lures collection unit, thigmotaxis based on insect, and the insect of grain heap surface layer is lured collection；
Audio signal sample unit, for gathering the acoustical signal luring collection pest activity；
Data processing unit, insect audio-frequency information that is based on outside acquisition or that be pre-stored in storage device, the collection pest activity acoustical signal that lures collected is analyzed comparison, it is thus achieved that the value volume and range of product of insect.
Preferably, described insect lures collection unit to use corrugated board.
Preferably, described audio collection unit includes the audio sensor array being fixed on corrugated board bottom surface.
Preferably, described audio collection unit farther includes the soundproof room being arranged on below corrugated board, and described audio sensor array is arranged in soundproof room.
Preferably, described data processing unit includes
Signal receiving module, lures collection pest activity acoustical signal for reception；
Audio processing modules, processes luring collection pest activity acoustical signal, it is thus achieved that the audio frequency characteristics parameter of tested insect；
Identify comparing module, insect audio frequency characteristics parameter that is based on outside acquisition or that be pre-stored in storage device, the audio frequency characteristics parameter of tested insect is compared, it is thus achieved that the value volume and range of product of tested insect.
Preferably, described data processing unit farther includes
Noise reduction module, for being filtered noise reduction process to the movable acoustical signal luring collection insect；
Data base, for the audio frequency characteristics parameter of the insect that prestores.
Preferably, described data processing unit farther includes memory module, lures collection pest activity acoustical signal for what storage received, in case the reading of external equipment or call.
Preferably, this device farther includes Signal Pretreatment unit, for being amplified the collection pest activity acoustical signal that lures collected and analog-to-digital conversion process.
Preferably, described Signal Pretreatment unit includes
Signal amplification module, for luring collection pest activity acoustical signal to be amplified processing；
Analog-to-digital conversion module, for carrying out analog digital conversion to the collection pest activity acoustical signal that lures after amplifying；
Signal transmitting module, sends the luring collection pest activity acoustical signal after amplification and analog digital conversion to data processing unit.
Preferably, described Signal Pretreatment unit is communicated by signal-transmitting cable with described audio signal sample unit.
The beneficial effects of the utility model are as follows:
Technical scheme described in the utility model can for a long time, stable, detect insect pest situation reliably, meanwhile, it is capable to lure collect to insect identify fast and accurately, during joint, laborsaving；This programme decreases application detecting instrument number, significantly reduces application cost.
Accompanying drawing explanation
Below in conjunction with the accompanying drawings detailed description of the invention of the present utility model is described in further detail；
Fig. 1 illustrates that a kind of grain storage pest described in this programme lures the schematic diagram of collection detection device.
Drawing reference numeral
1, corrugated board, 2, soundproof room, 3, audio sensor array, 4, audio signal sample unit, 5, signal-transmitting cable, 6, signal amplifier, 7, analog-to-digital conversion module, 8, wireless transmitter, 9, Signal Pretreatment unit, 10, signal receiving module, 11, audio processing modules, 12, comparing module is identified, 13, data base, 14, data processing unit.
Detailed description of the invention
In order to be illustrated more clearly that this utility model, below in conjunction with preferred embodiments and drawings, this utility model is described further.Parts similar in accompanying drawing are indicated with identical reference.It will be appreciated by those skilled in the art that following specifically described content is illustrative and be not restrictive, protection domain of the present utility model should not limited with this.
As it is shown in figure 1, the utility model discloses a kind of grain storage pest to lure collection detection device, this device includes that insect lures collection unit, audio signal sample unit 4 and data processing unit 14.Described insect lures collection unit, thigmotaxis based on insect, and the insect of grain heap surface layer is lured collection；In this programme, described insect lures collection unit to use corrugated board 1, and its a length of 200mm, width is 130mm.Described audio signal sample unit 4 is for gathering the acoustical signal luring collection pest activity；In this programme, described audio signal sample unit 4 is fixed on the audio sensor array 3 of corrugated board 1 bottom surface in including the soundproof room 2 being arranged on below corrugated board 1 and being arranged on soundproof room 2.That described data processing unit 14 obtains based on outside or be pre-stored in storage device insect audio-frequency information, to collect lure collection pest activity acoustical signal be analyzed comparison, it is thus achieved that the value volume and range of product of insect；In this programme, described data processing unit 14 includes luring the signal receiving module 10 of collection pest activity acoustical signal, to luring collection pest activity acoustical signal to process for reception, obtain the audio processing modules 11 of the audio frequency characteristics parameter of tested insect and insect audio frequency characteristics parameter that is based on outside acquisition or that be pre-stored in storage device, the audio frequency characteristics parameter of tested insect is compared, it is thus achieved that the identification comparing module 12 of the value volume and range of product of tested insect.Described audio frequency characteristics parameter includes amplitude, average, variance and frequency.In order to improve the integration of device, the data base 13 for the insect audio frequency characteristics parameter that prestores it is further provided with in described data processing unit, can pre-build in this data base 13 that the audio frequency characteristics parameter of insect, convenient identification comparing module direct called data parameter compare.Described data processing unit 14 farther includes the memory module luring collection pest activity acoustical signal received for storage, in case the reading of external equipment or call.In this programme, for the accuracy providing device to detect, it is easy to data processing unit 14 analyse and compare, being further provided with in the apparatus for being amplified the collection pest activity acoustical signal that lures collected and the Signal Pretreatment unit 9 of analog-to-digital conversion process, the pest activity acoustical signal collecting audio signal sample unit 4 carries out pretreatment.Described Signal Pretreatment unit includes for the signal amplifier 6 luring collection pest activity acoustical signal to be amplified processing, for carrying out the collection pest activity acoustical signal that lures after amplifying the analog-to-digital conversion module 7 of analog digital conversion and the collection pest activity acoustical signal that lures after amplification and analog digital conversion is sent the signal transmitting module to data processing unit.Described Signal Pretreatment unit 9 is communicated by signal-transmitting cable 5 with described audio signal sample unit 4.In this programme, described signal transmitting module can use wireless transmitter 8, carries out data communication with data processing unit in the way of radio communication.
nullThe workflow detecting device described in this programme is: first，Size according to silo arranges several corrugated boards 1，Owing to insect has thigmotaxis，Can be gathered in the middle of the gap of corrugated board 1，The acoustical signal of pest activity is gathered by being arranged in the audio sensor array 3 of corrugated board 1 bottom surface，Signal Pretreatment unit 9 is transmitted a signal to by signal-transmitting cable 5，Signal Pretreatment unit 9 to lure collection pest activity acoustical signal be amplified and after analog-to-digital conversion process，Data processing unit 14 is sent the signal to by the way of being wirelessly transferred，Data processing unit 14 receive pretreated lure collection pest activity acoustical signal it is carried out Audio Processing，Obtain the audio frequency characteristics parameter of tested insect，And based on the insect audio frequency characteristics parameter set up in data base 13，The audio frequency characteristics parameter of tested insect is compared，Obtain the value volume and range of product of tested insect.
Below by one group of embodiment, this utility model is described further:
As it is shown in figure 1, a kind of novel grain storage pest based on audio detection lures collection detection device, including corrugated board 1, audio signal sample unit 4 and data processing unit 14, and it is sequentially connected.Audio signal sample unit 4 includes soundproof room 2 and audio sensor array 3, described soundproof room 2 and audio sensor array 3 are arranged on below described corrugated board 1, carrying out data communication by signal-transmitting cable 5 and Signal Pretreatment unit, Signal Pretreatment unit includes signal amplifier 6, A/D modular converter 7 and the signal transmitting module being sequentially connected with；In this example, described signal transmitting module is wireless transmitter 8.Described data processing unit 14 includes the signal receiving module 10 of such as wireless receiver, audio processing modules 11, identifies comparing module 12 and data base 13.In order to improve the integration of device, the data base 13 for the insect audio frequency characteristics parameter that prestores it is further provided with in described data processing unit, can pre-build in this data base 13 that the audio frequency characteristics parameter of insect, convenient identification comparing module direct called data parameter compare.Corrugated board 1 and audio sensor array 3 are taken tone level platform as tested insect by this programme, by configuring the sound card device with acoustical signal amplification, conversion and sending function, the acoustical signal of pest activity is carried out pretreatment, send to having in the middle of the hardware device of data processing function, the acoustic information of tested insect is processed, and utilize the analysis softwares such as Matlab or audio analysis device that the audio frequency parameter of tested insect is compared, the final value volume and range of product obtaining tested insect.
Using corrugated board in this example is the thigmotaxis utilizing insect, lure and collect various activities in the grain storage pest on grain layer surface, after insect enters corrugated board 1, the acoustical signal creeped gives the audio signal sample unit 4 being placed in corrugated board 1 bottom surface by the conduct vibrations of thin film.In this example, audio signal sample unit 4 is made up of soundproof room 2 and audio sensor array 3.Soundproof room 2 uses the filling material such as acoustical cotton and baffle to make, and utilizes soundproof room 2 to solve the problem causing gatherer process sound intermediate frequency signal disturbing due to external noise.Through experiment test, this soundproof room 2 mean transmission loss in the range of 125 2000Hz is 29dB.Soundproof room 2 volume that this programme uses is little, low in resources consumption, good to low frequency soundproof effect.This example sound intermediate frequency sensor array 3 utilizes capacitance field mike as sound transducer, utilizes the acoustical signal of the external sound card pest activity to collecting to carry out A/D conversion, and sample frequency is 44100HZ.Record and show the insect acoustical signal of Real-time Collection, and deliver to Signal Pretreatment unit 9 by signal-transmitting cable.Utilize the signal amplifier 6 in Signal Pretreatment unit 9 and analog-to-digital conversion module 7 that signal is amplified and after analog digital conversion, by wireless transmitter 8, pretreated acoustical signal is sent to the data handling equipment such as the computer with data processing unit 14.Signal receiver in data processing unit 14 receives pretreated pest activity acoustical signal, and stores with the file of " .wav " form.
In order to ensure the accuracy of detection, need the acoustical signal of the pest activity received is carried out noise reduction process, therefore, this example utilize the wave filter with filtering decrease of noise functions the acoustical signal of pest activity is done noise reduction process, so that this acoustical signal becomes apparent from, facilitate the comparison analysis of follow-up identification comparing module.
Owing to the sound of creeping of grain storage pest is a kind of stochastic signal, in the Data Analysis Services of Stochastic Dynamics parameter, complete analysis describes and to be analyzed in terms of amplitude domain, time domain, frequency domain etc. three.Therefore, creep the voice signal property of state in order to insect more accurately more can be reacted, need pest activity acoustical signal is processed, obtain audio frequency characteristics parameter corresponding thereto, the time-domain signal of primary signal after noise reduction will be transformed into frequency domain, and as carrying out reserves pest species discriminatory analysis and the foundation of process.This example use estimating method of power spectrum extract the feature of insect acoustical signal.Utilize the characteristic parameter extracting the pest activity acoustical signal obtained to compare with insect audio frequency characteristics parameter in data base, identify pest species.In this example, it is that acoustical signal power spectrum of creeping multiple grain storage pest is analyzed for the foundation of insect audio frequency characteristics parameter database, and therefrom it is extracted the characteristic of multiple grain storage pest acoustical signal, then the grain storage pest voice characteristics data obtained is carried out statistical analysis, use BP neural network classifier, forming the grain storage pest type identification algorithm theoretical based on three-layer neural network, its discrimination is more than 95%.
It is now assumed that need a grain depot is carried out pest detection, assuming that the large storehouse that silo is 21 meters * 60 meters, place 5 connections in grain heap surface surrounding and central authorities and have the corrugated board 1 of audio signal sample unit, insect movable near collection point is lured collection to enter corrugated board 1, acoustical signal is collected by the audio sensor array 3 in soundproof room 2, it is transferred to signal amplifier 6 by signal-transmitting cable 5, by A/D modular converter 7, data processing unit 14 is transmitted signals to through wireless transmitter 8, signal receiving module in data processing unit 14 receives this signal, and store in a storage module with the file of " .wav " form.Simultaneously, after the sound line number of pest activity is carried out noise reduction process, utilizing audio processing modules 11 is audio frequency characteristics parameter by signal processing, and recycling identifies that comparing module compares analyzing and processing with each insect audio frequency set in advance in data base 12, to identify corresponding pest species and quantity.
In sum, technical scheme described in the utility model can for a long time, stable, detect insect pest situation reliably, meanwhile, it is capable to lure collect to insect identify fast and accurately, during joint, laborsaving；This programme decreases application detecting instrument number, significantly reduces application cost.
Obviously; above-described embodiment of the present utility model is only for clearly demonstrating this utility model example; and it is not the restriction to embodiment of the present utility model; for those of ordinary skill in the field; can also make other changes in different forms on the basis of the above description; here cannot all of embodiment be given exhaustive, every belong to obvious change that the technical solution of the utility model extended out or the variation row still in protection domain of the present utility model.
Claims (10)
1. a grain storage pest lures collection detection device, it is characterised in that this device includes
Insect lures collection unit, thigmotaxis based on insect, and the insect of grain heap surface layer is lured collection；
Audio signal sample unit, for gathering the acoustical signal luring collection pest activity；
Data processing unit, insect audio-frequency information that is based on outside acquisition or that be pre-stored in storage device, the collection pest activity acoustical signal that lures collected is analyzed comparison, it is thus achieved that the value volume and range of product of insect.
Device the most according to claim 1, it is characterised in that described insect lures collection unit to use corrugated board.
Device the most according to claim 2, it is characterised in that described audio signal sample unit includes the audio sensor array being fixed on corrugated board bottom surface.
Device the most according to claim 3, it is characterised in that described audio signal sample unit farther includes the soundproof room being arranged on below corrugated board, described audio sensor array is arranged in soundproof room.
Device the most according to claim 1, it is characterised in that described data processing unit includes
Signal receiving module, for receiving the movable acoustical signal luring collection insect；
Audio processing modules, processes luring collection pest activity acoustical signal, it is thus achieved that the audio frequency characteristics parameter of tested insect；
Identify comparing module, insect audio frequency characteristics parameter that is based on outside acquisition or that be pre-stored in storage device, the audio frequency characteristics parameter of tested insect is compared, it is thus achieved that the value volume and range of product of tested insect.
Device the most according to claim 5, it is characterised in that described data processing unit farther includes
Noise reduction module, for being filtered noise reduction process to the movable acoustical signal luring collection insect；
Data base, for the audio frequency characteristics parameter of the insect that prestores.
Device the most according to claim 5, it is characterised in that described data processing unit farther includes memory module, lures collection pest activity acoustical signal for what storage received, in case the reading of external equipment or call.
Device the most according to claim 1, it is characterised in that this device farther includes Signal Pretreatment unit, for being amplified and analog-to-digital conversion process the collection pest activity acoustical signal that lures collected.
Device the most according to claim 8, it is characterised in that described Signal Pretreatment unit includes
Signal amplifier, for luring collection pest activity acoustical signal to be amplified processing；
Analog-to-digital conversion module, for carrying out analog digital conversion to the collection pest activity acoustical signal that lures after amplifying；
Signal transmitting module, sends the luring collection pest activity acoustical signal after amplification and analog digital conversion to data processing unit.
Device the most according to claim 8, it is characterised in that described Signal Pretreatment unit is communicated by signal-transmitting cable with described audio signal sample unit.
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| CN201521031560.XU CN205409235U (en) | 2015-12-11 | 2015-12-11 | It lures an album detection device to store up grain pest |
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| CN201521031560.XU CN205409235U (en) | 2015-12-11 | 2015-12-11 | It lures an album detection device to store up grain pest |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106295784A (en) * | 2016-08-12 | 2017-01-04 | 福建省农业科学院水稻研究所 | A kind of small insects trapping quantity self-recording unit and using method thereof |
| CN108064829A (en) * | 2016-11-10 | 2018-05-25 | 上海云农信息科技有限公司 | A kind of intelligent solar insect-killing device |
| CN109006797A (en) * | 2018-07-25 | 2018-12-18 | 厦门大学 | A kind of intelligent sound wave orientation mosquito repellant |
| CN111937657A (en) * | 2020-09-10 | 2020-11-17 | 中航华东光电（上海）有限公司 | Biological control method based on intelligent voice |
| CN112215170A (en) * | 2020-10-15 | 2021-01-12 | 石家庄粮保科技有限公司 | System with built-in AI image recognition insect-detecting technical algorithm and software |
| CN113940327A (en) * | 2021-10-14 | 2022-01-18 | 怀化市正泰农机装备有限公司 | Self-cleaning household energy-saving insect trap |
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2015
- 2015-12-11 CN CN201521031560.XU patent/CN205409235U/en active Active
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295784A (en) * | 2016-08-12 | 2017-01-04 | 福建省农业科学院水稻研究所 | A kind of small insects trapping quantity self-recording unit and using method thereof |
| CN108064829A (en) * | 2016-11-10 | 2018-05-25 | 上海云农信息科技有限公司 | A kind of intelligent solar insect-killing device |
| CN109006797A (en) * | 2018-07-25 | 2018-12-18 | 厦门大学 | A kind of intelligent sound wave orientation mosquito repellant |
| CN109006797B (en) * | 2018-07-25 | 2021-02-26 | 厦门大学 | Intelligent sound wave directional mosquito dispeller |
| CN111937657A (en) * | 2020-09-10 | 2020-11-17 | 中航华东光电（上海）有限公司 | Biological control method based on intelligent voice |
| CN112215170A (en) * | 2020-10-15 | 2021-01-12 | 石家庄粮保科技有限公司 | System with built-in AI image recognition insect-detecting technical algorithm and software |
| CN113940327A (en) * | 2021-10-14 | 2022-01-18 | 怀化市正泰农机装备有限公司 | Self-cleaning household energy-saving insect trap |
| CN113940327B (en) * | 2021-10-14 | 2023-05-23 | 怀化市正泰农机装备有限公司 | Self-cleaning household energy-saving insect trap |
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Address after: 100037 No. 11 Million Village Street, Xicheng District, Beijing Patentee after: Academy of Sciences, State Bureau of Food and Materials Reserve Address before: Room 419, Food Science Building, 11 Million Village Street, Xicheng District, Beijing Patentee before: Academy of State Grain Administration |