CN111076765A

CN111076765A - Hand-held plant health detector

Info

Publication number: CN111076765A
Application number: CN201811224215.6A
Authority: CN
Inventors: 石俊峰; 陈雪
Original assignee: Nature & Future Beijing Green Plant Technology Co ltd
Current assignee: Nature & Future Beijing Green Plant Technology Co ltd
Priority date: 2018-10-19
Filing date: 2018-10-19
Publication date: 2020-04-28

Abstract

The handheld plant health detector can detect plant health conditions and characteristics of the surrounding environment of the plant and feed back corresponding maintenance suggestions. The problem of traditional plant health detector must fixed point detection, lack data interpretation ability, unable backtracking data integrated analysis is solved. The cost of plant health detection and management is greatly reduced, the judgment precision is improved, a large amount of labor burden can be reduced for the agriculture and garden industries, the simple and convenient use and operation also reduce the requirement of the related industries on the learning experience of workers, and the efficiency of schools and related institutions in natural education is improved.

Description

Hand-held plant health detector

Technical Field

The invention relates to a handheld detector which can detect plant health conditions and characteristics of the surrounding environment of plants and feed back corresponding maintenance suggestions.

Background

Most of the existing equipment for detecting plants are fixed-point type, inflexible in use, inconvenient to carry about and convenient to use at any time.

Most of the existing plant detection devices lack the capability of processing and interpreting data, and related experts are still required to interpret the data to know the overall health condition of plants.

The existing plant detection equipment can only simulate and calculate the environmental condition generally, does not have the capability of analyzing the plant pathological causes in detail, and is not sensitive enough to the unobvious reaction presented in the early stage of plant diseases.

Most of the existing equipment for detecting plants is direct data display type, and the possibility of comprehensive analysis after backtracking or superposition of detection data is lacked.

Disclosure of Invention

Technical problem to be solved

The invention comprises the following steps: the problem of traditional plant health detector must fixed point detection, lack data interpretation ability, unable backtracking data integrated analysis is solved.

Technical scheme adopted for solving technical problem

Description of the component monomer: the hand-held plant health detector consists of a circuit part and a shell part.

The circuit part includes: a USB socket circuit which takes a Micro-USB interface as a charging port; a power management circuit mainly based on TP 4054; a battery circuit mainly comprising a 400mAh, 3.7v battery with specification of 351770; a key-changing self-locking switch circuit mainly comprising an MOS tube; a voltage stabilizing circuit mainly comprising XC 6209; the single chip microcomputer circuit takes an STM8L151K4 chip as a main control; a crystal oscillator circuit mainly including a 16M crystal oscillator; a key reset circuit mainly comprising a key S1_ 1; a Bluetooth circuit mainly comprising CC 2541; a CC external interface circuit which takes a 7-pin header as a main circuit; a DEBUG interface circuit which mainly takes a 2-pin header; an LED circuit mainly including D1_ 1; a color lamp circuit mainly comprising a light emitting diode; a color sensor circuit based on TCS 3200; an illumination circuit mainly based on LXD/GB 3; a temperature and humidity circuit mainly comprising DHT 11; an analog switch circuit mainly comprising MOS transistors.

The housing portion includes: the front cover comprises a LOGO mark, a lamp hole, a color probe frosting plate and a USB hole; the rear cover comprises an air inlet, a key structure and a photosensitive port.

1. The technical scheme adopted for solving the problem that the traditional plant health detector needs to detect at fixed points is as follows: use the supporting cell-phone APP of detector, bind it through the bluetooth, the design of detector changes the hand-held type into, during the use, earlier through the function discernment variety information of the plant of the discernment plant of shooing of APP, this detector is bound to rethread bluetooth, carries out arbitrary point data sampling (mainly with the plant leaf) to the target plant, and data are after the relevant interface display of APP, and corresponding healthy result of automatic generation and maintenance guide suggestion. Therefore, the detector can be carried about, and can detect the health condition of plants at any place and any time after being bound with a mobile phone.

2. The technical scheme adopted for solving the problem that the traditional plant health detector lacks the capability of processing and analyzing data is as follows:

firstly, we give up the technical idea of the traditional plant detector, which generally comprises: by detecting the environment surrounding the plant

Several key indexes (such as soil moisture content and the like) are used for predicting the health condition of the plant or constructing an environment model for interpretation by an expert. Conventional methods therefore lack the ability to directly analyze and process the data. The detector selects a plant health theory based on plant ecology, and the plant health condition is reversely deduced by detecting the control capability of the plant on the micro environment, generally speaking, the stronger the control capability of the plant on the environment, the healthier the plant is. The ability of a plant to control an environment can be manifested by a number of detectable data, such as: the instrument can accurately measure the data such as the change rate of the humidity and the temperature of the near-field environment of the plant, the illumination intensity and the change rate of the humidity of the near-field environment of the plant, the change rate of the composition of the reflected light of the near-field environment of the plant and the like. A plant database based on the method can be constructed after data calibration is carried out on various plants by the method, the database can help a detector to directly convert detection data into health judgment on the plants, and the more the detection data, the higher the conclusion accuracy.

The technical scheme adopted for solving the problems that the traditional plant health detector cannot analyze the pathological reason and lacks sensitivity to the early stage of pathology is as follows: on the premise of the second technical solution, the pathological condition can be analyzed by combining the light intensity sensor and the temperature sensor which are already owned by the detector, when the data of a plurality of sensors are integrated for comprehensive judgment, the logic priority for judgment needs to be considered, and the judgment priority of the detector is as follows: temperature > rate of change of reflected light > rate of change of humidity temperature > rate of change of light humidity > intensity of illumination > humidity. Through multiple logic judgment similar to the above example and combining multiple data, the detector can judge the pathological cause of the plant and give guidance suggestions. Because of the sensitivity of the humidity and temperature change rate and the light reflection change rate in plant health, the detector also keeps extremely high sensitivity to the most important root activity and leaf activity of plants, and can find problems in detection in time.

Technical solving method adopted for solving the problem that the traditional plant health detector cannot carry out data backtracking and comprehensive analysis

The scheme is as follows: this detector passes through the bluetooth with data and transmits the cell-phone after, the cell-phone can be through APP with data storage at background server, and the interactive design of APP allows the user to carry out the rollback to the data that have detected. After enough 12 data are accumulated, the data can be integrally processed according to a multivariate statistical analysis standard algorithm embedded in a background to obtain more systematic plant health judgment, and the algorithm can help reduce errors of two-point data calculation. As used herein, "canonical correlation analysis" that analyzes the relationship between the humidity temperature ratio variable and the light intensity humidity ratio variable in an attempt to find a self-correcting reference for state calculations of different plants in different processing locations; the obtained series of health value variables are processed by standard regression analysis to obtain a more reasonable and effective plant health condition backtrack in the whole time sequence.

Both data have strong reference significance to the health management of plants.

Advantageous effects

The invention greatly reduces the cost of plant health detection and management, improves the judgment precision, has the capability of reducing a large amount of labor burden for the agricultural and garden industries, reduces the requirement of the related industries on the academic experience of workers due to simple and convenient use and operation, and improves the efficiency of schools and related institutions in natural education.

Drawings

Fig. 1 is a front view, fig. 2 is a rear view, fig. 3 is a top view, fig. 4 is a bottom view, fig. 5 is a left side view, fig. 6 is a right side view, and fig. 7 is an isometric view.

Claims

1. The application protects the circuits, appearances and structures of all parts of the handheld plant health detector.

2. The application protects the using method of the product.