MONITORING DEVICE, PLANT GROWTH MONITORING METHOD USING MONITORING DEVICE, AND PLANT FACTORY

1 . A plant growth monitoring method comprising:

sensing growth data of a plant by an M number of sensing devices, and obtaining M groups of growth data, each group of growth data comprising a T number of sensing data, each piece of sensing data in the T number of sensing data being associated with a growth period of a T number of growth periods of the plant, and each piece of sensing data in the T number of sensing data comprising values of an N number of parameters;

determining one group of the M number of groups of growth data as reference data, setting each group of growth data in the other M−1 groups of growth data except for the reference data as a group of detection data to be tested, and obtaining an M−1 number of groups of detection data

determining a first effective range of each of the N number of parameters based on the T number of sensing data of the reference data, filtering the reference data according to the first effective range of each parameter, and obtain filtered reference data;

determining a second effective range of each parameter in each growth period based on the filtered reference data, separately filtering each of the M−1 groups of detection data based on the second effective range of each parameter in each growth period, and obtain filtered detection data; and

analyzing the filtered M−1 groups of detection data and obtaining standard values of the N number of parameters in the T growth periods.

2 . The plant growth monitoring method of claim 1 , further comprising:

obtaining the value of any one of the parameters of the plant in any one of the T growth periods and comparing the obtained value with the standard value of the corresponding parameter in the corresponding growth period; and

in response that the obtained value of the parameter is inconsistent with the standard value of the parameter in the corresponding growth period, adjusting a corresponding supply device, the supply device corresponding to the parameter.

3 . The plant growth monitoring method of claim 1 , wherein determining the first effective range of each of the N number of parameters based on the T number of sensing data comprised in the reference data comprises:

determining a central tendency quantity E 0 of each parameter based on the T number of sensing data of the reference data, and determining the first effective range of each parameter based on the central tendency quantity E 0 of each parameter as [E 1 , E 2 ]; wherein:

E 1= E 0− E 0* X 1;

E 2= E 0+ E 0* X 1; and

X 1 is a preset coefficient.

4 . The plant growth monitoring method of claim 3 , wherein filtering the reference data according to the first effective range of each parameter comprises:

obtaining all values corresponding to each parameter in the reference data, and deleting the values that do not belong to the first effective range of the parameters.

5 . The plant growth monitoring method of claim 3 , wherein:

the second effective range of each parameter in each growth period is [E 1 ′, E 2 ′]; wherein:

E 1′= V 0− V 0* X 2;

E 2′= V 0+ V 0* X 2;

X 2 is a preset coefficient; and

V 0 represents the value of each parameter in each growth period in the filtered reference data.

6 . The plant growth monitoring method of claim 5 , wherein separately filtering each of the M−1 groups of detection data based on the second effective range of each parameter in each growth period comprises:

deleting any sensing data in the T number of sensing data in each set of detection data in any growth period in response that none of the values of the N number of parameters in the sensing data are within the second effective range.

7 . The plant growth monitoring method of claim 6 , wherein analyzing the filtered M−1 groups of detection data and obtaining the standard values of the N number of parameters in the T growth periods comprises:

obtaining all the sensing data of the filtered M−1 groups of detection data and classifying all the obtained sensing data according to the growth period, and obtaining the sensing data corresponding to each growth period;

determining the number of effective values for each piece of classified sensing data corresponding to each growth period; and

determining the sensing data of any growth period having the most number of effective values as target data, obtaining the values of the N number of parameters of the target data, and setting the obtained values of the N number of parameters of the target data as the standard values of the N number of parameters in the growth period.

8 . A monitoring device comprising:

a processor; and

a memory storing a plurality of instructions, which when executed by the processor, cause the processor to:

sense growth data of a plant by an M number of sensing devices, and obtain M groups of growth data, each group of growth data comprising a T number of sensing data, each piece of sensing data in the T number of sensing data being associated with a growth period of a T number of growth periods of the plant, and each piece of sensing data in the T number of sensing data comprising values of an N number of parameters;

determine one group of the M number of groups of growth data as reference data, set each group of growth data in the other M−1 groups of growth data except for the reference data as a group of detection data to be tested, and obtain an M−1 number of groups of detection data;

determine a first effective range of each of the N number of parameters based on the T number of sensing data of the reference data, filter the reference data according to the first effective range of each parameter, and obtain filtered reference data;

determine a second effective range of each parameter in each growth period based on the filtered reference data, separately filter each of the M−1 groups of detection data based on the second effective range of each parameter in each growth period, and obtain filtered detection data; and

analyze the filtered M−1 groups of detection data and obtain standard values of the N number of parameters in the T growth periods.

9 . The monitoring device of claim 8 , wherein the processor is further configured to:

obtain the value of any one of the parameters of the plant in any one of the T growth periods and compare the obtained value with the standard value of the corresponding parameter in the corresponding growth period; and

in response that the obtained value of the parameter is inconsistent with the standard value of the parameter in the corresponding growth period, adjust a corresponding supply device, the supply device corresponding to the parameter.

10 . The monitoring device of claim 8 , wherein a method of the processor determining the first effective range of each of the N number of parameters based on the T number of sensing data comprised in the reference data comprises:

determining a central tendency quantity E 0 of each parameter based on the T number of sensing data of the reference data, and determining the first effective range of each parameter based on the central tendency quantity E 0 of each parameter as [E 1 , E 2 ]; wherein:

E 1= E 0− E 0* X 1;

E 2= E 0+ E 0* X 1; and

X 1 is a preset coefficient.

11 . The monitoring device of claim 10 , wherein a method of the processor filtering the reference data according to the first effective range of each parameter comprises:

obtaining all values corresponding to each parameter in the reference data, and deleting the values that do not belong to the first effective range of the parameters.

12 . The monitoring device of claim 10 , wherein:

the second effective range of each parameter in each growth period is [E 1 ′, E 2 ′]; wherein:

E 1′= V 0− V 0* X 2;

E 2′= V 0+ V 0* X 2;

X 2 is a preset coefficient; and

V 0 represents the value of each parameter in each growth period in the filtered reference data.

13 . The monitoring device of claim 12 , wherein a method of the processor separately filtering each of the M−1 groups of detection data based on the second effective range of each parameter in each growth period comprises:

deleting any sensing data in the T number of sensing data in each set of detection data in any growth period in response that none of the values of the N number of parameters in the sensing data are within the second effective range.

14 . The monitoring device of claim 13 , wherein a method of the processor analyzing the filtered M−1 groups of detection data and obtaining the standard values of the N number of parameters in the T growth periods comprises:

obtaining all the sensing data of the filtered M−1 groups of detection data and classifying all the obtained sensing data according to the growth period, and obtaining the sensing data corresponding to each growth period;

determining the number of effective values for each piece of classified sensing data corresponding to each growth period; and

determining the sensing data of any growth period having the most number of effective values as target data, obtaining the values of the N number of parameters of the target data, and setting the obtained values of the N number of parameters of the target data as the standard values of the N number of parameters in the growth period.

15 . A plant factory comprising:

a monitoring device;

an M number of sensing devices each communicating with the monitoring device, each sensing device configured to sense values of an N number of parameters of a plant in each growth period of the plant; and

at least one supply device for adjusting the N number of parameters to the plant.