CN113008984A - Voiceprint detection fruit maturity analysis instrument - Google Patents
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- 238000001514 detection method Methods 0.000 title claims abstract description 114
- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 32
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- 235000012055 fruits and vegetables Nutrition 0.000 abstract description 20
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- 235000005976 Citrus sinensis Nutrition 0.000 description 1
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- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
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Abstract
The invention discloses a voiceprint detection fruit maturity analyzer which comprises an MCU (microprogrammed control unit) controller, an online nondestructive detection system, an infrared detection system and a voiceprint detection system, wherein the MCU controller is connected with the infrared detection system; the voiceprint detection system comprises an acoustic reflection module, a scattering spectrum detection module, a transmission spectrum characteristic analysis module, an absorption characteristic detection module, an attenuation coefficient detection module, a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module. The fruit maturity analysis instrument for voiceprint detection is provided with the voiceprint detection system, and has the advantages of simple and convenient operation and detectionThe efficiency is high, and the device is suitable for occasions requiring large scale and high efficiency; by arranging the on-line nondestructive detection system and the infrared detection system, the invention has the function of detecting the correlation of the hardness and the maturity of the fruits and vegetables from (near) infrared R2About 0.4, increasing to R2About 0.9 and after integrating the (near) infrared technology, realize the online nondestructive dynamic detection of high accuracy.
Description
Technical Field
The invention relates to the technical field of detecting the maturity of horticultural products, in particular to an analyzer for detecting the maturity of fruits by voiceprints.
Background
China is the first major fruit and vegetable producing country in the world, but the postharvest commercial treatment is lagged behind the foreign technology, the nondestructive detection technology is the neck technology, and the applicable equipment is lacked.
With the rapid development of social economy in China and the rapid improvement of the consumption level of people, consumers put forward higher requirements on the demand and the quality of fruits and vegetables. According to related data, the loss rate of developed countries is generally lower than 5%, even the loss rate of some countries is only 1% -2%, however, the loss rate of harvested fruits and vegetables in China is as high as 30%, and exceeds 1000 hundred million yuan per year. The main reasons are that:
1) the maturity of the harvested fruits and vegetables (related to indexes such as sugar, acid, dry matter content and the like) is inconsistent, and the rotting rate of the fruits and vegetables entering a cold storage is increased;
2) the maturity and hardness of the fruits and vegetables which are delivered from the warehouse cannot be subjected to commercialized sorting according to the requirements of consumers, so that the quality difference is large, the public praise of the consumers is poor, and the related qualities such as the sugar acid degree and hardness are generally detected by adopting a destructive technology, but the operation is complicated, the detection efficiency is low, the batch detection cannot be realized, and the method is not suitable for the development of the modern industry.
Therefore, the development of maturity and hardness detection by using a nondestructive detection technology is a necessary technology for changing 'fruits' into 'commodities'.
However, the current fruit and vegetable post-harvest technologies with independent intellectual property rights, such as AWETA in the Netherlands, COMPAC in New Zealand and MAF-RODA in France, of world-level sorting equipment manufacturing enterprises all put their main efforts into the research and development of online nondestructive sorting technologies and export the technologies to China. In contrast, the research on the fruit and vegetable postharvest equipment in China is late. In recent years, (near) infrared nondestructive testing has achieved nondestructive sugar acid and sugar degree testing on a small part of fruits (navel orange, red Fuji and the like), but the endoplasmic (particularly hardness and maturity) testing accuracy of most fruits and vegetables is low (R)2<0.4). Voiceprints are another non-contact non-destructive detection technology, and are used for solving the problem that the non-destructive detection of the inner quality, particularly the 'neck' of a gardening product which cannot be detected by near infrared technologies such as hard skin, thick skin fruits and vegetables "The technology is of great importance for improving the international competitiveness of the gardening industry in China.
Disclosure of Invention
The invention aims to provide an analyzer for detecting the maturity of fruits by voiceprints, and aims to solve the problems that no-damage detection technology in the prior art lacks applicable equipment and the like.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an analyzer for detecting the maturity of fruits by voiceprints, which comprises an MCU controller, an online nondestructive detection system, an infrared detection system and a voiceprint detection system, wherein,
the MCU controller is connected with the infrared detection system and is used for emitting infrared rays to the fruits to be detected so as to determine the sugar degree, acidity and dry matter content of different fruits to be detected;
the voiceprint detection system comprises an acoustic reflection module, a scattering spectrum detection module, a transmission spectrum characteristic analysis module, an absorption characteristic detection module, an attenuation coefficient detection module, a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module, wherein the MCU controller is connected with the acoustic reflection module and is used for carrying out acoustic spectrum analysis on fruits to be detected; the MCU controller is respectively connected with the scattering spectrum detection module, the transmission spectrum characteristic analysis module, the absorption characteristic detection module and the attenuation coefficient detection module and is used for detecting and analyzing different internal qualities of fruits to be detected by the same wave band sound spectrum; the MCU controller is respectively connected with a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module and is used for analyzing the same wave band acoustic spectrum so as to determine the maturity and hardness of different fruits to be detected;
and the MCU controller is connected with the online non-destructive detection system and is used for performing software temperature drift compensation and signal interference noise processing on the voiceprint detection system.
Furthermore, the online nondestructive detection system comprises a temperature drift compensation module and a filtering processing module, wherein the temperature drift compensation module is connected with the MCU controller, when the analysis instrument performs detection, the influence of the ambient temperature causes the temperature drift of the analysis instrument, and the temperature drift compensation module executes a software temperature drift compensation instruction for the voiceprint detection system;
the filtering processing module is connected with the MCU controller, when the analysis instrument performs detection, interference signals are generated due to vibration, and the filtering processing module executes interference noise processing instructions in the measurement signals.
Furthermore, the infrared detection system comprises an infrared emission module, and the infrared emission module is connected with the MCU controller.
Further, the MCU controller is ESX-3CM in model.
The voiceprint detection fruit maturity analysis instrument is provided with the voiceprint detection system, is simple and convenient to operate, has high detection efficiency, and is suitable for occasions requiring large scale and high efficiency; by arranging the on-line nondestructive detection system and the infrared detection system, the invention has the function of detecting the correlation of the hardness and the maturity of the fruits and vegetables from (near) infrared R2About 0.4, increasing to R2About 0.9, and the sugar degree, acidity and dry matter content of the fruits and vegetables to be detected are stabilized at R after the integration (near) infrared technology2About 0.95, high-precision online nondestructive dynamic detection is realized.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention, and are best understood by reference to the accompanying drawings in which:
FIG. 1 is a schematic diagram of an overall structure of a voiceprint detection fruit maturity analysis apparatus according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the analyzer for detecting the maturity of fruit by voiceprint of the present invention comprises an MCU controller, an on-line nondestructive detection system, an infrared detection system and a voiceprint detection system, wherein,
the MCU controller is connected with the infrared detection system and is used for emitting infrared rays to the fruits to be detected so as to determine the sugar degree, acidity and dry matter content of different fruits to be detected;
the voiceprint detection system comprises an acoustic reflection module, a scattering spectrum detection module, a transmission spectrum characteristic analysis module, an absorption characteristic detection module, an attenuation coefficient detection module, a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module, wherein the MCU controller is connected with the acoustic reflection module and is used for carrying out acoustic spectrum analysis on fruits to be detected; the MCU controller is respectively connected with the scattering spectrum detection module, the transmission spectrum characteristic analysis module, the absorption characteristic detection module and the attenuation coefficient detection module and is used for detecting and analyzing different internal qualities of fruits to be detected by the same wave band sound spectrum; the MCU controller is respectively connected with the propagation speed detection module, the acoustic impedance detection module and the natural frequency detection module and is used for analyzing the same wave band acoustic spectrum so as to determine the maturity and hardness of different fruits to be detected;
the MCU controller is connected with the online nondestructive detection system and is used for carrying out software temperature drift compensation and signal interference noise processing on the voiceprint detection system.
As an embodiment of the invention, the online nondestructive detection system comprises a temperature drift compensation module and a filtering processing module, wherein the temperature drift compensation module is connected with the MCU controller, when the analyzer performs detection, the influence of the ambient temperature causes the temperature drift of the analyzer, and the temperature drift compensation module executes a software temperature drift compensation instruction for the voiceprint detection system;
the filtering processing module is connected with the MCU controller, and when the analysis instrument performs detection, interference signals are generated due to vibration, and the filtering processing module executes an interference noise processing instruction in the measurement signals.
As an embodiment of the invention, the infrared detection system comprises an infrared emission module, and the infrared emission module is connected with the MCU controller.
As an embodiment of the present invention, the MCU controller is ESX-3 CM.
In one embodiment of the invention, in operation, the method adopts the characteristics of the horticultural product such as sound reflection, scattering spectrum, transmission spectrum characteristic, absorption characteristic, attenuation coefficient, propagation speed and acoustic impedance and natural frequency thereof under the action of sound waves to jointly analyze the internal quality detection of the fruits and vegetables, removes abnormal points through field point analysis, analyzes the change rule of the interaction of the sound waves and the fruits by identifying the influence of different internal qualities on the sound spectrum of the same wave band, and determines the voiceprint spectrum models of the maturity and hardness of different fruits and vegetables; meanwhile, the accurate nondestructive prediction of hardness, maturity, sugar degree, acidity and dry matter content of the fruits and vegetables is realized by adopting the fruit and vegetable voiceprint and near infrared technologies, compared with the traditional visible light-based camera sorting device which can only process the surface information of the fruits and vegetables, the invention adopts the near infrared reflection and transmission spectrum characteristics to jointly analyze the internal quality detection of the fruits and vegetables, determines the infrared spectrum models of different fruit and vegetable sugar degrees, acidity and dry matter contents by identifying the influence of different internal qualities on the same waveband spectrum, in addition, because the online nondestructive detection system is a dynamic process during operation, the technical realization difficulty is far greater than that of static detection, software temperature drift compensation is carried out on the temperature of the environment where a field real-time acquisition hardware system is located by a temperature drift compensation module and a filtering processing module, and interference noise processing is carried out on a measurement signal by a filtering method, and high-precision online nondestructive detection is realized.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (4)
1. An analyzer for detecting the maturity of fruits by voiceprints, which comprises an MCU controller, an online nondestructive detection system, an infrared detection system and a voiceprint detection system, wherein,
the MCU controller is connected with the infrared detection system and is used for emitting infrared rays to the fruits to be detected so as to determine the sugar degree, acidity and dry matter content of different fruits to be detected;
the voiceprint detection system comprises an acoustic reflection module, a scattering spectrum detection module, a transmission spectrum characteristic analysis module, an absorption characteristic detection module, an attenuation coefficient detection module, a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module, wherein the MCU controller is connected with the acoustic reflection module and is used for carrying out acoustic spectrum analysis on fruits to be detected; the MCU controller is respectively connected with the scattering spectrum detection module, the transmission spectrum characteristic analysis module, the absorption characteristic detection module and the attenuation coefficient detection module and is used for detecting and analyzing different internal qualities of fruits to be detected by the same wave band sound spectrum; the MCU controller is respectively connected with a propagation speed detection module, an acoustic impedance detection module and a natural frequency detection module and is used for analyzing the same wave band acoustic spectrum so as to determine the maturity and hardness of different fruits to be detected;
and the MCU controller is connected with the online non-destructive detection system and is used for performing software temperature drift compensation and signal interference noise processing on the voiceprint detection system.
2. A voiceprint detection fruit ripeness analysis apparatus according to claim 1, wherein: the online nondestructive detection system comprises a temperature drift compensation module and a filtering processing module, wherein the temperature drift compensation module is connected with an MCU (microprogrammed control Unit), when the analysis instrument performs detection, the influence of the ambient temperature causes the temperature drift of the analysis instrument, and the temperature drift compensation module executes a software temperature drift compensation instruction for the voiceprint detection system;
the filtering processing module is connected with the MCU controller, when the analysis instrument performs detection, interference signals are generated due to vibration, and the filtering processing module executes interference noise processing instructions in the measurement signals.
3. A voiceprint detection fruit ripeness analysis apparatus according to claim 1, wherein: the infrared detection system comprises an infrared emission module, and the infrared emission module is connected with the MCU controller.
4. A voiceprint detection fruit ripeness analysis apparatus according to claim 1, wherein: the MCU controller is ESX-3CM in model.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115097885A (en) * | 2022-06-17 | 2022-09-23 | 中国农业大学 | Automatic regulation and control method and system for fruit ripening acceleration |
| DE102021211546A1 (en) | 2021-08-20 | 2023-02-23 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Process and system for manual quality control of fruit and vegetables and other foodstuffs |
| CN116448708A (en) * | 2023-06-16 | 2023-07-18 | 潍坊食品科学与加工技术研究院 | Online nondestructive testing equipment for round fruits and vegetables |
| RU2817527C1 (en) * | 2023-12-21 | 2024-04-16 | федеральное государственное автономное образовательное учреждение высшего образования "Московский физико-технический институт (национальный исследовательский университет)" | Method and device for monitoring electrodynamic characteristics in microwave range |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102021211546A1 (en) | 2021-08-20 | 2023-02-23 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Process and system for manual quality control of fruit and vegetables and other foodstuffs |
| CN115097885A (en) * | 2022-06-17 | 2022-09-23 | 中国农业大学 | Automatic regulation and control method and system for fruit ripening acceleration |
| CN116448708A (en) * | 2023-06-16 | 2023-07-18 | 潍坊食品科学与加工技术研究院 | Online nondestructive testing equipment for round fruits and vegetables |
| RU2817527C1 (en) * | 2023-12-21 | 2024-04-16 | федеральное государственное автономное образовательное учреждение высшего образования "Московский физико-технический институт (национальный исследовательский университет)" | Method and device for monitoring electrodynamic characteristics in microwave range |
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