CN-122004115-A - Environment collaborative regulation digital twin method and system

CN122004115ACN 122004115 ACN122004115 ACN 122004115ACN-122004115-A

Abstract

The invention discloses an environment cooperative control digital twin method and system, which belong to the field of environment control, wherein the environment cooperative control digital twin method comprises the following steps of constructing a dynamic digital model of a fish-vegetable symbiotic system in a virtual space based on a digital twin technology, wherein the dynamic digital model replicates all components of the fish-vegetable symbiotic system; compared with the prior art, the dynamic digital model has the beneficial effects that compared with the traditional management relying on manual experience, the dynamic digital model is constructed, the real-time mapping and interaction of a physical system and a virtual model are realized, fuzzy experience judgment is converted into accurate analysis based on multi-dimensional data, the optimal environmental parameters can be dynamically inferred and biological anomalies can be intelligently diagnosed through a simulation algorithm and an ecological knowledge base, and finally the cooperative regulation and control are carried out through automatic control equipment, so that the limitation of the traditional management is thoroughly changed, and all-weather accurate regulation and risk early warning are truly achieved.

Inventors

YE LIN
CAO KAI
BAO ENCAI
AN LEI
Liang Jingni
XU HAO
XU JIAXIN
ZHAO XIA
GU SHIYOU
LIU ZHEN
LI YUE
WANG JITAO

Assignees

宁夏大学

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (10)

1. The environment cooperative control digital twin method is characterized by comprising the following steps of: Based on a digital twin technology, a dynamic digital model of the fish-vegetable symbiotic system is built in a virtual space, and all components of the fish-vegetable symbiotic system are duplicated by the dynamic digital model, wherein the dynamic digital model can continuously evolve, and the newly-appearing biological information is integrated with the simulation logic through an ecological knowledge base, so that the whole operation mechanism, ecological process and potential biological competition dynamics of the fish-vegetable symbiotic system are simulated; The method comprises the steps of collecting multidimensional data of the fish-vegetable symbiotic system in real time, and continuously transmitting the multidimensional data to the dynamic digital model, so that the dynamic digital model is updated in real time according to the latest state of the fish-vegetable symbiotic system, and synchronous mapping and bidirectional interaction of the dynamic digital model and the fish-vegetable symbiotic system are realized; utilizing a dynamic digital model to operate a simulation algorithm to analyze multidimensional data, synthesizing ecological balance principles and real-time biological information, dynamically deducing an optimal environment data range required by maintaining ecological balance of animals, plants and microorganisms to obtain first analysis content, and analyzing and judging a monitored biological abnormal signal to obtain second analysis content; based on analysis content, the fish and vegetable symbiotic system is cooperatively regulated and controlled through automatic control equipment, and environmental fluctuation and biological abnormality are simultaneously dealt with.
2. The method for digital twin-generation of environmental collaborative regulation according to claim 1, wherein the steps of analyzing multidimensional data by using a dynamic digital model to run a simulation algorithm, synthesizing ecological balance principles and real-time biological information, dynamically deducing an optimal environmental data range required for maintaining ecological balance of animals, plants and microorganisms, obtaining a first analysis content, analyzing and judging a monitored biological abnormality signal, and obtaining a second analysis content comprise: Calculating and trend simulating multidimensional data acquired in real time and stored in history through a dynamic digital model operation simulation algorithm, combining constraint conditions defined by an ecological balance principle, and referring to a fish-vegetable symbiotic system state reflected by real-time biological information, dynamically estimating an optimal target range of each environmental parameter capable of most effectively maintaining ecological balance of animals, plants and microorganisms in a current state, and obtaining first analysis content; When the monitored biological abnormal signal is judged to be an invasive organism, controlling a dynamic digital model to start biological competition dynamic simulation, simulating the influence path and degree of the invasive organism on the ecological balance of the existing animals, plants and microorganisms based on the principle of species interaction relation in an ecological knowledge base, judging the threat level of the invasive organism and possibly triggered chain ecological reaction, generating an evaluation conclusion containing coping strategy advice, and obtaining second analysis content; And if the environmental parameters are in the optimal range and no other abnormality exists, the initial inference is caused by non-system environmental factors, the automatic regulation and control are not started for the influence of the non-system environmental factors, if the abnormal behaviors of the fishes do not slow down or disappear by themselves after the set time, the initial inference is considered as misjudgment, the secondary inference is a potential unidentified environmental factor or a continuous stress source, the specific environmental parameters of the group and the continuous abnormal behavior sequence are recorded through a dynamic digital model, the second analysis content is obtained, and the knowledge base related to the behaviors of the fishes and the environment in the dynamic digital model is updated through the second analysis content.
3. The environmental collaborative regulation digital twin method of claim 1, further comprising: and integrating external energy data, calculating and predicting the energy consumption demand of the fish and vegetable symbiotic system in a future period, and formulating an optimal energy consumption scheduling strategy.
4. The environmental collaborative regulation digital twin method of claim 1, further comprising: Integrating external energy data, combining the external energy data with environmental parameters of multi-dimensional data of the fish and vegetable symbiotic system, performing cross-time scale resource planning, simulating thermodynamic and hydrodynamic changes of the fish and vegetable symbiotic system and external energy data fluctuation in a period of time in the future, and calculating an environmental parameter regulation and control path with the lowest cost, wherein all decisions take a preset environmental parameter fluctuation range allowed by ensuring ecological safety as fundamental constraint.
5. The environmentally coordinated digital twin method of claim 3 or 4, further comprising: When the power failure is known to occur in the future, according to the predicted time length of the power failure and the thermodynamic and hydrodynamic characteristics of the fish and vegetable symbiotic system, the natural change track of the environmental parameters in the whole power failure period is simulated, the estimated survival rate of the highest priority biological population is taken as the highest optimization index when the power failure is recovered, the environmental parameters which are needed to be realized before the power failure are calculated, and the environmental parameter adjustment is executed.
6. The environment coordinated control digital twin system is characterized by comprising: the dynamic digital model construction module is used for constructing a dynamic digital model of the fish-vegetable symbiotic system in a virtual space based on a digital twin technology, and the dynamic digital model replicates all components of the fish-vegetable symbiotic system, can continuously evolve, integrates newly-appearing biological information through an ecological knowledge base and simulation logic, and thus simulates the whole operation mechanism, ecological process and potential biological competition dynamic of the fish-vegetable symbiotic system; The dynamic digital model real-time updating module is used for collecting multidimensional data of the fish-vegetable symbiotic system in real time, continuously transmitting the multidimensional data to the dynamic digital model, so that the dynamic digital model is updated in real time according to the latest state of the fish-vegetable symbiotic system, and synchronous mapping and bidirectional interaction of the dynamic digital model and the fish-vegetable symbiotic system are realized; The analysis content acquisition module is used for analyzing multidimensional data by utilizing a dynamic digital model to run a simulation algorithm, synthesizing ecological balance principles and real-time biological information, dynamically deducing an optimal environment data range required by maintaining ecological balance of animals, plants and microorganisms to obtain first analysis content, and analyzing and judging the monitored biological abnormal signals to obtain second analysis content; And the cooperative regulation and control module is used for carrying out cooperative regulation and control on the fish-vegetable symbiotic system through automatic control equipment based on the analysis content, and simultaneously coping with environmental fluctuation and biological abnormality.
7. The digital twin system of environmental collaborative regulation according to claim 6, wherein the analytic content retrieval module comprises: The environment analysis unit is used for calculating and simulating trend of the multidimensional data acquired in real time and stored in history through a dynamic digital model running simulation algorithm, combining constraint conditions defined by an ecological balance principle, referring to the fish and vegetable symbiotic system state reflected by the real-time biological information, dynamically pushing out an optimal target range of each environmental parameter capable of most effectively maintaining ecological balance of animals, plants and microorganisms in the current state, and obtaining first analysis content; The intrusion organism analysis unit is used for controlling the dynamic digital model to start biological competition dynamic simulation when the monitored biological abnormal signal is judged to be an intrusion organism, simulating the influence path and degree of the intrusion organism on the ecological balance of the existing animals, plants and microorganisms based on the principle of species interaction relation in the ecological knowledge base, judging the threat level of the intrusion organism and possibly triggered chain ecological reaction, generating an evaluation conclusion comprising a coping strategy suggestion, and obtaining second analysis content; The fish abnormal behavior analysis unit is used for cross-comparing all environmental parameter records of the occurrence period of the fish abnormal behavior when the monitored biological abnormal signal judges the fish abnormal behavior, judging environmental factor influence if the environmental parameter is abnormal, preliminarily deducing that the environmental parameter is in an optimal range and no other abnormality is caused by a non-system environmental factor, and not starting automatic regulation and control for the influence of the non-system environmental factor, if the fish abnormal behavior is not slowed down or disappeared by self after the set time, judging the preliminary deduction as misjudgment, secondarily deducing as unidentified potential environmental factor or persistent stress source, recording the specific environmental parameter and the continuous abnormal behavior sequence of the group through the dynamic digital model, obtaining second analysis content, and updating a knowledge base related to the fish behavior and the environment in the dynamic digital model through the second analysis content.
8. The environmentally coordinated digital twin system of claim 6, further comprising: the energy consumption optimal adjustment module is used for integrating external energy data, calculating and predicting the energy consumption demand of the fish and vegetable symbiotic system in a future period of time, and formulating an optimal energy consumption scheduling strategy.
9. The environmentally coordinated digital twin system of claim 6, further comprising: The cost optimal adjustment module is used for integrating external energy data, combining the external energy data with environmental parameters of multi-dimensional data of the fish and vegetable symbiotic system, executing resource planning across time scales, simulating thermodynamic and hydrodynamic changes of the fish and vegetable symbiotic system and external energy data fluctuation in a period of time in the future, calculating an environmental parameter regulation and control path with the lowest cost, and taking a preset environmental parameter fluctuation range allowed by ensuring ecological safety as a fundamental constraint in all decisions.
10. The environmentally coordinated digital twin system of claim 8 or 9, further comprising: And the survival rate optimal adjustment module is used for simulating the natural change track of the environmental parameters in the whole power-off period according to the predicted time length of the power-off and the thermodynamic and hydrodynamic characteristics of the fish-vegetable symbiotic system when knowing that the power-off will occur in the future, calculating an environmental parameter which must be realized before the power-off and executing the environmental parameter adjustment by taking the predicted survival rate of the biological group with the highest priority as the highest optimization index when the power-off is recovered.

Description

Environment collaborative regulation digital twin method and system Technical Field The invention belongs to the field of environment regulation and control, and particularly relates to a digital twin method and system for environment cooperative regulation and control. Background The fish and vegetable symbiotic system is a composite ecological system combining aquaculture and hydroponic cultivation, and can provide nutrients for plants by decomposing fish manure through microorganisms, and the plant root system can purify water quality, so that a circulation mode ‌ of 'no water change and no fertilizer application during fish culture' is realized. The system consists of three parts, namely a culture pond, a planting area and a water circulation treatment device, and the core is ecological balance of animals, plants and microorganisms. The fish and vegetable symbiotic system is used as a compound ecological system which depends on dynamic balance of animals, plants and microorganisms, stable operation of the fish and vegetable symbiotic system is extremely sensitive to fluctuation of environmental parameters, traditional management is dependent on artificial experience to a great extent, all-weather accurate regulation and control and risk early warning are difficult to realize, and improvement is needed. Disclosure of Invention Based on this, it is necessary to provide an environment-coordinated digital twin method and system for the above-mentioned problems. The embodiment of the invention is realized in such a way that the environment collaborative regulation digital twin method comprises the following steps: Based on a digital twin technology, constructing a dynamic digital model of the fish-vegetable symbiotic system in a virtual space, wherein the dynamic digital model replicates all components of the fish-vegetable symbiotic system (including a culture pond, a planting area and a water circulation treatment device and the interaction relationship of animals, plants and microorganisms), can continuously evolve, integrates newly-appearing biological information (such as invasive species or competitors monitored by image recognition or environmental DNA analysis) with an ecological knowledge base, and simulates the whole operation mechanism, ecological process and potential biological competition dynamic of the fish-vegetable symbiotic system; the method comprises the steps of collecting multidimensional data (such as environmental parameters including water temperature, pH value, dissolved oxygen, ammonia nitrogen concentration and the like, and biological information parameters including fish behavior images, plant leaf states, water body microbial community changes and the like) of the fish-vegetable symbiotic system in real time, continuously transmitting the multidimensional data to a dynamic digital model, and enabling the dynamic digital model to be updated in real time according to the latest state of the fish-vegetable symbiotic system, so that synchronous mapping and bidirectional interaction of the dynamic digital model and the fish-vegetable symbiotic system are realized; Analyzing multidimensional data by utilizing a dynamic digital model operation simulation algorithm, synthesizing an ecological balance principle and real-time biological information, dynamically deducing an optimal environment data range required by maintaining ecological balance of animals, plants and microorganisms to obtain first analysis content, and analyzing and judging monitored biological abnormal signals (such as invasive species, competitors, abnormal fish behaviors and the like) to obtain second analysis content; Based on analysis content, the fish and vegetable symbiotic system is cooperatively regulated and controlled through automatic control equipment (such as a water pump, a heater, an aerator or a targeted ultraviolet sterilization device), and environmental fluctuation and biological abnormality are simultaneously dealt with. In one embodiment, the invention provides an environment collaborative regulation digital twin method, wherein the steps of analyzing multidimensional data, synthesizing ecological balance principles and real-time biological information by using a dynamic digital model operation simulation algorithm, dynamically deducing an optimal environment data range required for maintaining ecological balance of animals, plants and microorganisms to obtain first analysis content, analyzing and judging monitored biological abnormal signals to obtain second analysis content comprise the following steps: Calculating and trend simulating multidimensional data (especially environmental parameters such as water temperature, pH value, dissolved oxygen, ammonia nitrogen concentration and the like) acquired in real time and stored in history through a dynamic digital model operation simulation algorithm, combining constraint conditions (such as a proper temperature range of nitrifying bacteria communiti