CN-121722198-B - Intelligent vegetable cultivation facility monitoring regulation and control system

CN121722198BCN 121722198 BCN121722198 BCN 121722198BCN-121722198-B

Abstract

The invention belongs to the technical field of vegetable cultivation management, and particularly discloses a vegetable intelligent cultivation facility monitoring and controlling system, which comprises a global state evaluation module, a comprehensive score output module and a control module, wherein the global state evaluation module is used for analyzing the combination state of multiple environment parameters; the system comprises a control event identification module for identifying parameter out-of-limit, trend out-of-limit and comprehensive unbalance events based on scores or parameter trends, a control event analysis module for analyzing the cooperation, conflict or no-association influence among actions by utilizing a dynamic influence matrix, calculating priority and generating an ordered instruction queue by combining the out-of-limit degree of the events, and a control execution terminal for executing control and supporting dynamic adjustment according to the queue order. The invention realizes the identification of hidden unbalance of the facility environment, early warning of deterioration trend, avoidance of multi-regulation action conflict and stable and efficient execution of the regulation process, and simultaneously greatly improves the precision and stability of environmental control and saves energy consumption.

Inventors

HU JIANLONG
FAN XIAOFEI
XUE ZHANJUN
ZHANG WENPEI
WANG MEIRONG
WU JINFENG

Assignees

河北农业大学
科芯(衡水)智慧农业科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260225

Claims (8)

1. The utility monitoring and controlling system for intelligent vegetable cultivation is characterized in that the system comprises: The global state evaluation module is used for carrying out overall analysis on the combined state of all the environmental parameters acquired in real time, outputting the comprehensive score of the combined state of the environment, and carrying out overall analysis comprises the following steps: Obtaining a standard environment parameter range combination corresponding to the current vegetable growing stage, wherein the combination comprises independent standard ranges of all environment parameters and association relations among the parameters; Judging whether each environmental parameter exceeds a corresponding independent standard range, if so, calculating the individual deviation degree of the environmental parameter, otherwise, assigning the individual deviation degree to be 0, wherein the calculation formula of the individual deviation degree is as follows: ; In the formula, Representing the individual degree of deviation of the environmental parameter, Representing the acquired value of the environmental parameter at the current moment, Representing the closer boundary value of the acquired value of the environmental parameter at the current moment relative to the independent standard range, Represents the width of the independent standard range, Indicating that the preset time affects the weight, Indicating the cumulative duration of the environmental parameter outside of the independent standard range, A preset reference time period is indicated, Representing an extremum function; based on the association relation between parameters defined by standard environment parameter range combination, the environment parameter pair with the association relation is recorded as an association parameter pair; Calculating the actual proportion between the corresponding current acquisition values of the two environmental parameters of the associated parameter pair, calculating the relative deviation value between the actual proportion and the preset expected proportion of the parameter pair, and taking the absolute value of the relative deviation value as the combined deviation degree of the associated parameter pair; screening the maximum value from the individual deviation degrees of all the environmental parameters to obtain the maximum individual deviation degree, and extracting the maximum combined deviation degree from the combined deviation degrees of all the associated parameter pairs; Performing linear weighted calculation on the maximum individual deviation degree and the maximum combined deviation degree, and outputting the calculated values as environment combined state comprehensive scores; The regulation and control event identification module is used for identifying at least one type of regulation and control event based on the environmental combination state score and/or the real-time acquisition value and the change trend of each environmental parameter, wherein the regulation and control event type consists of environmental parameter out-of-limit, environmental trend out-of-limit and environmental comprehensive unbalance; The regulation event analysis module is used for identifying all current regulation events to be processed, evaluating the influence types among regulation actions corresponding to the regulation events, creating the regulation priority of the regulation events by combining the influence types and the out-of-limit degree of the regulation events, and generating a regulation instruction queue; And the regulation and control execution terminal drives the corresponding environment regulation and control terminal to sequentially execute corresponding regulation and control based on the regulation and control instruction queue.
2. The intelligent vegetable cultivation facility monitoring and controlling system according to claim 1, wherein the association relation between parameters defined in the standard environment parameter range combination comprises a preset expected proportion of each association parameter.
3. The intelligent vegetable cultivation facility monitoring and control system according to claim 1, wherein the specific manner of identifying at least one type of control event is as follows: constructing a time sequence of each environmental parameter based on the real-time acquisition value of each environmental parameter; Judging whether the acquisition value of the environmental parameter continuously exceeds a preset static threshold interval in the time sequence data sequence, and if so, triggering an environmental parameter out-of-limit regulation event; Aiming at the environmental parameters of the non-triggering event, carrying out sliding window linear fitting on the time sequence of the non-triggering event to obtain a fitted change slope and intercept, calculating a predicted value of the environmental parameters in a preset future time window according to the fitted change slope and intercept, and triggering an environmental trend out-of-limit regulation event if the predicted value exceeds a preset static threshold interval; if the environmental parameter out-of-limit regulation and control event and the environmental trend out-of-limit regulation and control event are not triggered, judging whether the comprehensive score of the environmental combined state is lower than a preset comprehensive state score threshold value of the current vegetable fertility stage, and if so, triggering the environmental comprehensive unbalance regulation and control event.
4. The intelligent vegetable cultivation facility monitoring and control system according to claim 1, wherein the process of evaluating the type of influence between the control actions corresponding to each control event is as follows: Converging all current to-be-processed regulation events into a current to-be-processed event set; Aiming at each event in the event set to be processed, recording the environment parameters regulated and controlled by the event set to be processed as the associated environment parameters, and determining at least one environment regulation and control terminal and the regulation and control action thereof which are required to be started for restoring the environment targets; based on a preset dynamic influence matrix, acquiring expected variation of each regulation action on environmental parameters associated with other events to be processed; And classifying the influence type between any two regulation actions into any one of the following synergistic influence, conflict influence or no-association influence according to the expected variation, thereby obtaining the influence type between the regulation actions corresponding to each regulation event.
5. A vegetable intelligent cultivation facility monitoring and control system as set forth in claim 4, wherein said dynamic influence matrix is constructed by: In the current normal growth period of the history of vegetable cultivation, synchronously collecting the history action records of all environment regulation terminals and the history change data of all environment parameters corresponding to the history action records, and integrating the collected history action records and the history change data into a training data set; For each environment regulation terminal, based on the training data set, analyzing the average variation generated by each environment parameter when the regulation terminal executes unit action, and taking the average variation as the expected variation; based on the expected variation quantity generated by each environmental parameter, the dynamic influence matrix is formed by arranging the environmental regulation terminals as rows and the environmental parameters as columns.
6. The intelligent vegetable cultivation facility monitoring and control system according to claim 4, wherein the step of classifying the influence type between any two control actions comprises the following steps: Arbitrarily selecting two events to be processed from the event set to be processed, and marking the two events to be processed as an event A and an event B respectively; Inquiring the expected change amount generated on the environment parameters associated with the event B when the event A is executed based on the environment parameters associated with the event A and the event B and the enabled regulation action, and synchronously inquiring the expected change amount generated on the environment parameters associated with the event A when the event B is executed; If the absolute value of the two expected variation amounts is smaller than a preset variation threshold value, classifying the influence types between the corresponding regulation actions of the event A and the event B into no associated influence; Otherwise, when the two expected variation amounts are positive values, classifying the type of influence between the corresponding regulation actions of the event A and the event B into a synergistic influence; And when the two expected change amounts are negative values or one of the two expected change amounts is negative, classifying the influence types between the corresponding regulation actions of the event A and the event B into conflict influences.
7. A vegetable intelligent cultivation facility monitoring regulation system of claim 6 wherein creating a regulation priority for a regulation event comprises: For each event in the event set to be processed, counting the total number of the conflict influence judged between the corresponding regulating action of other events and the regulating action corresponding to the event according to the influence type between the regulating action of the event and the regulating action of other events, and comparing the total number of the conflict influence with the total number of other events to obtain the conflict influence intensity of the event; for each event, calculating the environmental urgency of the event based on the deviation degree of the acquired value of the associated environmental parameter at the current moment relative to the target value of the associated environmental parameter; And carrying out weighted summation on the conflict influence intensity of each event and the environmental urgency degree, and calculating to obtain the regulation priority index.
8. A system for monitoring and controlling intelligent vegetable cultivation facilities as recited in claim 7, wherein the control command queue is obtained by ordering all events to be processed in descending order according to a control priority index.

Description

Intelligent vegetable cultivation facility monitoring regulation and control system Technical Field The invention belongs to the technical field of vegetable cultivation management, and particularly relates to a vegetable intelligent cultivation facility monitoring and regulating system. Background The environmental control in vegetable cultivation directly decides the cultivation quality of vegetables, and traditional environmental control relies on manual experience mainly, monitors basic environmental parameters such as temperature and humidity through simple instrument to equipment such as ventilation, irrigation, sunshade is opened and closed manually or through timing control mode. The intelligent integrated control system for the agricultural vegetable greenhouse disclosed in the China patent application with the application number 202411415148.1 in the prior art is based on an STM32F103C8T6 core board, a greenhouse control system matched with various sensors and an ESP8266Wi-Fi module, and energy conservation is achieved by using low-power-consumption elements. In vegetable cultivation, the regulation and control of corresponding cultivation environment facilities are mainly triggered through fixed threshold judgment at present, so that the cultivation environment is kept stable, but when all parameters are in a threshold but in a non-optimal combination state, the inhibition effect on the growth of vegetables can be possibly generated, and when the environmental parameters are at a threshold boundary and have a trend of changing to an unfavorable direction rapidly, the deterioration trend cannot be captured timely at present, so that the regulation and control are not timely. Secondly, according to the prior art, although the current independent regulation and control adopts the low-power-consumption element to realize energy conservation, when a plurality of environmental parameter adjustment is needed at the same time, physical effects possibly contradict each other between the environmental parameters, and only independent adjustment is executed, so that internal offset is possibly generated, the cultivation environment is repeatedly fluctuated, the energy conservation effect cannot reach the expected value, and the cultivation environment cannot be rapidly guaranteed to reach a stable state. Disclosure of Invention In view of this, in order to solve the above-mentioned problem, a monitoring and controlling system for intelligent vegetable cultivation facilities is proposed. The invention provides a vegetable intelligent cultivation facility monitoring and regulating system, which comprises a global state evaluation module, a control module and a control module, wherein the global state evaluation module is used for carrying out overall analysis on the combined states of all environmental parameters acquired in real time and outputting the combined states of the environments for comprehensive scoring. And the regulation and control event identification module is used for identifying at least one kind of regulation and control event based on the environmental combination state score and/or the real-time acquisition value and the change trend of each environmental parameter, wherein the regulation and control event category consists of environmental parameter out-of-limit, environmental trend out-of-limit and environmental comprehensive unbalance. The regulation event analysis module is used for identifying all current regulation events to be processed, evaluating the influence types among regulation actions corresponding to the regulation events, creating the regulation priority of the regulation events by combining the influence types and the out-of-limit degree of the regulation events, and generating a regulation instruction queue. And the regulation and control execution terminal drives the corresponding environment regulation and control terminal to sequentially execute corresponding regulation and control based on the regulation and control instruction queue. Compared with the prior art, the method has the beneficial effects that (1) through carrying out overall analysis on the combined states of all the environmental parameters, when all the single environmental parameters are in the preset threshold range, the overall state unbalance caused by poor matching relation among the parameters can be identified, so that the defect that the hidden bad environment combination cannot be identified and corrected due to the fact that only the single parameter is over-limited is overcome, and the stability of the cultivation environment is further maintained. (2) According to the invention, the environmental trend out-of-limit regulation event is identified based on the change trend, so that when the actual value of the parameter is not exceeded but the predicted track indicates that the threshold value interval is about to be exceeded, the environmental trend out-of-limit regulation event is triggere