CN116227248B - Digital twin body construction method and device of gravity energy storage system and electronic equipment - Google Patents
Digital twin body construction method and device of gravity energy storage system and electronic equipment Download PDFInfo
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- CN116227248B CN116227248B CN202310519150.2A CN202310519150A CN116227248B CN 116227248 B CN116227248 B CN 116227248B CN 202310519150 A CN202310519150 A CN 202310519150A CN 116227248 B CN116227248 B CN 116227248B
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Abstract
The application provides a digital twin body construction method and device of a gravity energy storage system and electronic equipment, wherein the method comprises the following steps: acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance; establishing a plurality of simulation models according to system parameters; obtaining an initial digital twin body based on the simulation model; performing data butt joint on the initial digital twin body and an actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance; the initial digital twin is taken as the digital twin. According to the method and the device, the problems that in the related technology, various factors of the gravity energy storage system are not comprehensively considered, the included model is incomplete, and the simulation effect is poor are solved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a digital twin body construction method and device of a gravity energy storage system and electronic equipment.
Background
At present, most of the existing digital twin body construction methods of the tower type gravity energy storage system only monitor and analyze the tower crane device or the matched power management and control system, and the rest only perform mechanical simulation analysis on the tower crane, so that no integral digital twin body construction scheme and application case of the gravity energy storage system exist at present. In the prior art, multiple elements of an actual application scene are not fused, simulation analysis results are not comprehensive, and the existing digital twin body cannot effectively predict the safety, stability, service life and faults of the tower type gravity energy storage system and cannot provide an effective solution.
The method for constructing the digital twin body of the existing tower type gravity energy storage system does not consider the influence of environmental factors, operation time delay and the like, cannot correlate multiple factors such as electric power, control, physics, environment and the like, does not use a digital means to establish a relatively complete simulation system and model of the tower type gravity energy storage system, does not fully integrate and analyze multiple aspects of data in the operation process of the tower type gravity energy storage system, has incomplete parameters of the simulation model, cannot restore the system state in the actual operation process, has no continuity, is intelligent, has low data integration degree, and cannot dynamically analyze and evaluate the tower type gravity energy storage system in the whole life cycle process.
Therefore, the problems of incomplete included model and poor simulation effect caused by the fact that factors in multiple aspects of the gravity energy storage system are not comprehensively considered exist in the prior art.
Disclosure of Invention
The application provides a digital twin body construction method and device of a gravity energy storage system and electronic equipment, and aims to at least solve the problems that in the related technology, multiple factors of the gravity energy storage system are not comprehensively considered, the included model is incomplete, and the simulation effect is poor.
According to one aspect of embodiments of the present application, there is provided a digital twin body construction method of a gravity energy storage system, the method comprising:
acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
establishing a plurality of simulation models according to the system parameters;
based on the simulation model, obtaining an initial digital twin;
performing data butt joint on the initial digital twin body and the actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
the initial digital twin is taken as a digital twin.
According to another aspect of embodiments of the present application, there is also provided a digital twin body construction device of a gravity energy storage system, the device comprising:
the acquisition module is used for acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
the building module is used for building a plurality of simulation models according to the system parameters;
the obtaining module is used for obtaining an initial digital twin body based on the simulation model;
the adjusting module is used for carrying out data butt joint on the initial digital twin body and the actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
as a module for taking the initial digital twin as a digital twin.
Optionally, the establishing module includes:
the first acquisition unit is used for acquiring the motion trail and the environmental parameters of the weight in the actual gravity energy storage system from the system parameters;
the first obtaining unit is used for describing the motion trail through a preset equation based on the environmental parameters to obtain a physical model of the simulated gravity energy storage system, wherein the simulated gravity energy storage system is contained in the initial digital twin body;
The first determining unit is used for determining a control strategy of the simulated gravity energy storage system according to the system parameters;
the first establishing unit is used for establishing a control system model of the simulated gravity energy storage system according to the control strategy, the motion trail and a preset control method;
the second acquisition unit is used for acquiring the performance parameters of the electrical equipment in the actual gravity energy storage system from the system parameters;
and the second building unit is used for building an electric system model of the simulated gravity energy storage system according to the performance parameters.
Optionally, the obtaining module includes:
the optimizing unit is used for optimizing the physical model, the control system model and the electrical system model through a preset optimizing algorithm;
the first integration unit is used for integrating the physical model, the control system model and the electrical system model to obtain the simulated gravity energy storage system;
the third establishing unit is used for establishing a database, wherein the database is used for storing system state parameters of the simulated gravity energy storage system;
the generation unit is used for generating an adaptive control algorithm based on the control system model, wherein the adaptive control algorithm is used for adjusting the system state parameters and the control strategy;
And the second integration unit is used for integrating the simulated gravity energy storage system, the database and the self-adaptive control algorithm to obtain the initial digital twin body.
Optionally, the adjusting module includes:
the third acquisition unit is used for acquiring actual test data from the actual gravity energy storage system and importing the actual test data into the initial digital twin body;
the monitoring unit is used for monitoring the analog gravity energy storage system in the initial digital twin body in real time according to a preset monitoring algorithm to obtain real-time data;
the judging unit is used for analyzing the real-time data and judging whether the simulated gravity energy storage system has a problem or not;
the verification unit is used for verifying whether the system performance of the simulated gravity energy storage system meets preset conditions or not by utilizing a preset simulation model and actual operation data of the actual gravity energy storage system under the condition that the simulated gravity energy storage system has no problem;
and the adjusting unit is used for carrying out multiple tests and verification on the initial digital twin body under the condition that the system performance meets the preset condition, and adjusting the initial digital twin body according to the test result and the verification result until the initial digital twin body meets the target performance.
Optionally, the adjusting unit includes:
the determining submodule is used for determining the running condition of the initial digital twin body according to the test result and the verification result;
and the adjustment sub-module is used for adjusting the control strategy and optimizing the system state parameters according to the running condition.
Optionally, the adjustment module further comprises:
and the second determining unit is used for determining a preset control algorithm under the condition that the analog gravity energy storage system has no problem, wherein the initial digital twin body controls the actual gravity energy storage system through the preset control algorithm.
Optionally, the apparatus further comprises:
and the upgrading module is used for maintaining and upgrading the digital twin body according to a preset period.
According to yet another aspect of the embodiments of the present application, there is also provided an electronic device including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein the memory is used for storing a computer program; a processor for performing the method steps of any of the embodiments described above by running the computer program stored on the memory.
According to a further aspect of the embodiments of the present application, there is also provided a computer-readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the method steps of any of the embodiments described above when run.
In the embodiment of the application, the system parameters of the actual gravity energy storage system and the target performance of the digital twin body are obtained, wherein the system parameters can obtain the target performance; establishing a plurality of simulation models according to system parameters; obtaining an initial digital twin body based on the simulation model; performing data butt joint on the initial digital twin body and an actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance; the initial digital twin is taken as the digital twin. Firstly, establishing a plurality of simulation models according to system parameters of an actual gravity energy storage system; secondly, establishing an initial digital twin body based on a simulation model; and then, testing and verifying the performance of the initial digital twin body by using an actual gravity energy storage system, and adjusting the initial digital twin body according to the testing and verifying results until the initial digital twin body meets the target performance. The method is based on the actual gravity energy storage system, fully considers various simulation analysis models which are required to be integrated and associated by the digital twin, and establishes the digital twin which is closer to the actual scene requirement and can dynamically update the simulation calculation of the gravity energy storage system. The problems of incomplete included model and poor simulation effect caused by the fact that factors in multiple aspects of the gravity energy storage system are not comprehensively considered in the related technology are solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow diagram of an alternative digital twin construction method of a gravity energy storage system according to an embodiment of the present application;
FIG. 2 is a diagram of an alternative digital twin mass of a tower gravity energy storage system according to an embodiment of the present application;
FIG. 3 is a flow diagram of another alternative method of digital twin construction of a gravity energy storage system according to an embodiment of the present application;
FIG. 4 is a block diagram of a digital twin construction device of an alternative gravity energy storage system according to an embodiment of the present application;
fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The current simulation analysis of the gravity energy storage system does not comprehensively consider multiple factors such as electricity, environment, control and the like, the data simulation analysis model body, namely the digital twin body, is insufficient in model insufficiency and correlation degree among all elements, and the digital twin body simulation analysis core effect is difficult to embody.
Based on the foregoing, according to an aspect of the embodiments of the present application, there is provided a digital twin body construction method of a gravity energy storage system, as shown in fig. 1, a flow of the method may include the following steps:
step S101, acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance.
Optionally, acquiring system parameters of the actual gravity energy storage system: physical parameters such as the height of a tower in an actual gravity energy storage system, the mass of a heavy object, the power of a generator and the like need to be determined, and the system parameters influence the performance of the actual gravity energy storage system, wherein the actual gravity energy storage system can be a tower type gravity energy storage system. The physical parameters can be obtained by measuring and analyzing the existing actual gravity energy storage system. Meanwhile, the system parameters also comprise environmental parameters, so that the digital twin body can consider environmental factors such as temperature, humidity, air pressure and the like.
In addition, because the digital twin body is used for carrying out simulation analysis on the actual gravity energy storage system, the safety, stability, service life and faults of the gravity energy storage system are effectively predicted, and a solution is obtained, the performance requirement of the actual gravity energy storage system is determined, and the target performance of the digital twin body can be determined. As shown in fig. 3, demand analysis: and analyzing the performance requirement of the gravity energy storage system, and further determining the target performance of the digital twin body.
Step S102, a plurality of simulation models are built according to system parameters.
Optionally, establishing a plurality of simulation models according to the system parameters includes: the physical model, the control system model, the electrical system model and the like are used for simulating the working principle, the working process, the actual performance and the like of the actual gravity energy storage system through the simulation model, and comprehensively considering the influence of environmental factors and time delay on the gravity energy storage system.
Step S103, obtaining an initial digital twin body based on the simulation model.
Optionally, through the simulation model, an actual working scene of the actual gravity energy storage system can be simulated, and the system performance of the actual gravity energy storage system can be simulated. Thus, the initial digital twin can be obtained by integrating the simulation model described above. The initial digital twin representation also requires testing, verification and adjustment to better simulate an actual gravity energy storage system.
And step S104, carrying out data butt joint on the initial digital twin body and the actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance.
Optionally, by comparing the performances of the actual gravity energy storage system and the initial digital twin body and using the data of the actual gravity energy storage system to test the initial digital twin body, the simulation model, the system parameters and the control strategy of the initial digital twin body are adjusted according to the test result, so that the accuracy and the reliability of the initial digital twin body are ensured to meet the target performance.
Step S105, using the initial digital twin as the digital twin.
Optionally, when the initial digital twin body meets the target performance, the initial digital twin body can accurately perform simulation analysis on the actual gravity energy storage system, so that the initial digital twin body can be applied to the actual gravity energy storage system to improve the performance and reliability of the system, namely, the initial digital twin body is taken as the digital twin body. As shown in fig. 3, the application: digital twins are applied to practical gravity energy storage systems to improve system performance and reliability.
In the embodiment of the application, the system parameters of the actual gravity energy storage system and the target performance of the digital twin body are obtained, wherein the system parameters can obtain the target performance; establishing a plurality of simulation models according to system parameters; obtaining an initial digital twin body based on the simulation model; performing data butt joint on the initial digital twin body and an actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance; the initial digital twin is taken as the digital twin. Firstly, establishing a plurality of simulation models according to system parameters of an actual gravity energy storage system; secondly, establishing an initial digital twin body based on a simulation model; and then, testing and verifying the performance of the initial digital twin body by using an actual gravity energy storage system, and adjusting the initial digital twin body according to the testing and verifying results until the initial digital twin body meets the target performance. The method is based on the actual gravity energy storage system, fully considers various simulation analysis models which are required to be integrated and associated by the digital twin, and establishes the digital twin which is closer to the actual scene requirement and can dynamically update the simulation calculation of the gravity energy storage system. The problems of incomplete included model and poor simulation effect caused by the fact that factors in multiple aspects of the gravity energy storage system are not comprehensively considered in the related technology are solved.
As an alternative embodiment, building a plurality of simulation models according to system parameters includes:
acquiring a motion track and environmental parameters of a weight in an actual gravity energy storage system from system parameters;
describing a motion trail through a preset equation based on environmental parameters to obtain a physical model of the simulated gravity energy storage system, wherein the simulated gravity energy storage system is contained in an initial digital twin body;
determining a control strategy for simulating the gravity energy storage system according to the system parameters;
according to a control strategy, a motion trail and a preset control method, a control system model simulating the gravity energy storage system is established;
acquiring performance parameters of electrical equipment in an actual gravity energy storage system from system parameters;
and establishing an electrical system model for simulating the gravity energy storage system according to the performance parameters.
Alternatively, a physical model needs to be built to simulate the process of moving weights up and down the tower. Newton's equations of motion (i.e., preset equations) can be used to describe the motion trajectories of weights and take into account gravity mechanics, environmental factors such as temperature, humidity, damping, etc., and the effects of time delays on the system. Wherein, environmental factors can influence the resistance in the heavy object reciprocates the in-process, influence material property, and then influence the performance of gravity energy storage system.
A control system model needs to be built to control the up and down movement of the weight in order to release the weight and generate electricity when energy is needed. This includes using sensors to monitor the position of the weight and using control algorithms to control the up and down movement of the weight. The stability of the system needs to be ensured by using a PID control method (i.e. a preset control method) and the like in consideration of the stability and reliability of the system, and the movement track of the weight is determined. The impact of time delays on the gravity energy storage system also needs to be considered.
And an electrical system model is established according to the performance parameters of the actual gravity energy storage system to simulate the working state of the generator and the output of electric energy, wherein the working state of the actual gravity energy storage system and the output of electric energy can be determined through the performance parameters. Including modeling the power and electrical energy output of the motor and taking into account the efficiency of the motor and the stability of the generator.
As shown in fig. 2, the physical model: the physical model of the system describes the kinematics and dynamics of the system. Control strategy: and the control strategy of the system is used for controlling the motion trail of the system. As shown in fig. 3, the model is built: and establishing a physical model of the gravity energy storage system, and describing the kinematics and dynamics of the system. And (3) determining a control strategy: and determining a control strategy of the gravity energy storage system and determining a system motion trail.
In the embodiment of the application, the working principle, the working process, the actual performance and the like of the actual gravity energy storage system are simulated by constructing a physical model, a control system model and an electric system model, and the reliability of the system is improved by comprehensively considering time delay and environmental influence factors. The accuracy, flexibility and reliability of the digital twin are improved.
As an alternative embodiment, obtaining an initial digital twin based on a simulation model, comprising:
optimizing the physical model, the control system model and the electrical system model through a preset optimization algorithm;
integrating a physical model, a control system model and an electrical system model to obtain a simulated gravity energy storage system;
establishing a database, wherein the database is used for storing system state parameters of the simulated gravity energy storage system;
generating an adaptive control algorithm based on the control system model, wherein the adaptive control algorithm is used for adjusting system state parameters and control strategies;
and integrating the analog gravity energy storage system, the database and the self-adaptive control algorithm to obtain an initial digital twin body.
Alternatively, the present embodiment will be described with reference to fig. 2: in order to make the performance of the digital twin body better, the physical model, the control system model and the electric system model are optimized through a preset optimization algorithm. The digital twin body comprises an optimization algorithm (namely a preset optimization algorithm), such as deep learning, an artificial neural network, a genetic algorithm, a particle swarm algorithm and the like. And integrating the physical model, the control system model and the electric system model to obtain the simulated gravity energy storage system, wherein the simulated gravity energy storage system belongs to a digital twin body. A database is established, which contains a large amount of system data (data simulating a gravity energy storage system), such as system states, parameters and the like. According to the PID control method in the control system model, an adaptive control algorithm is generated to realize the adaptive control of the digital twin body, such as model predictive control and the like, and is used for automatically adjusting system parameters and control strategies in the digital twin body.
The above process is as shown in fig. 3, algorithm optimization: and optimizing the control strategy and the physical model to improve the system performance. Database establishment: and establishing a database of the gravity energy storage system, and storing data such as system states, parameters and the like. And (3) self-adaptive control: the self-adaptive control algorithm is realized, so that the system can automatically adjust parameters and control strategies.
The analog gravity energy storage system, the database and the self-adaptive control algorithm are integrated to obtain an initial digital twin body, and the initial digital twin body also needs to be tested, verified and adjusted through the actual gravity energy storage system, so that the actual gravity energy storage system can be better simulated.
In the embodiment of the application, the self-adaptability of the system is improved through the self-adaptive control algorithm, the flexibility of the system is improved through the self-adaptive control algorithm, the efficiency and the reliability of the gravity energy storage system are improved, and the economic benefit is improved.
As an alternative embodiment, the data interfacing of the initial digital twin with the actual gravity energy storage system, the testing and tuning of the initial digital twin until the initial digital twin meets the target performance, comprises:
acquiring actual test data from an actual gravity energy storage system, and importing the actual test data into an initial digital twin body;
According to a preset monitoring algorithm, monitoring an analog gravity energy storage system in an initial digital twin body in real time to obtain real-time data;
analyzing the real-time data to judge whether the simulated gravity energy storage system has a problem or not;
under the condition that the simulated gravity energy storage system has no problem, verifying whether the system performance of the simulated gravity energy storage system meets the preset condition or not by using a preset simulation model and actual operation data of the actual gravity energy storage system;
under the condition that the system performance meets the preset condition, testing and verifying the initial digital twin body for multiple times, and adjusting the initial digital twin body according to the testing result and the verification result until the initial digital twin body meets the target performance.
Optionally, simulating and analyzing the initial digital twin comprises: modeling and simulation are performed using software tools such as MATLAB/Simulink, ansys, etc., in which the impact of time delay on system performance in initial digital twinning needs to be taken into account. The performance of the actual gravity energy storage system and the performance of the initial digital twin are compared for verification, and the data of the actual gravity energy storage system is used for verifying the initial digital twin, so that the accuracy and the reliability of the initial digital twin are ensured.
An embodiment of the present application is described below with reference to fig. 2: and carrying out data butt joint on the initial digital twin body and the actual gravity energy storage system, namely acquiring actual test data from the actual gravity energy storage system, and importing the actual test data into the initial digital twin body. And (3) utilizing an intelligent detection algorithm (namely a preset monitoring algorithm), such as machine vision, a sensor network and the like, to monitor the analog gravity energy storage system in the initial digital twin body in real time, so as to obtain real-time data representing the system state of the analog gravity energy storage system. And carrying out big data analysis on the real-time data, wherein big data analysis algorithms comprise data mining, machine learning and the like, and are used for analyzing the operation data of the simulated gravity energy storage system so as to judge whether the simulated gravity energy storage system has a problem or not, and solving the problem if the simulated gravity energy storage system has the problem. If the system performance meets the preset condition, the system performance of the simulated gravity energy storage system meets the requirement, and the simulated gravity energy storage system is feasible. Under the condition that the simulated gravity energy storage system accords with the preset condition, verifying according to the running condition of the initial digital twin body in the simulation process, and carrying out optimization adjustment on the initial digital twin body, such as adjusting a control strategy and optimizing system parameters, so as to ensure the reliability and stability of the initial digital twin body.
It should be noted that in the actual implementation process, the influence of environmental factors on the system performance needs to be considered, and the system parameters need to be adjusted in time to ensure the system performance. In addition, the simulation gravity energy storage system and the actual gravity energy storage system can be subjected to detail perfection according to the test result and the verification result, such as system structure determination, part design and the like.
The contents of the above parts are as shown in fig. 3: and (3) intelligent detection: an intelligent monitoring algorithm (namely a preset monitoring algorithm) is realized, and the system state is monitored in real time. Big data analysis: analyzing the system data, finding out the system problem and solving the system problem (namely judging whether the simulated gravity energy storage system has the problem or not); simulation and experiment: and verifying the performance of the system by using a simulation model (namely a preset simulation model), and performing experiment to verify the feasibility of the system.
In addition, the initial digital twins and the digital twins further comprise: a high-precision digital model for three-dimensional visual display; the simulation model comprises a simulation model of the system and is used for simulating the running condition of the system and verifying the performance of the system.
In the embodiment of the application, by introducing big data analysis and intelligent algorithm and starting from tower type gravity energy storage application practice, various mathematical analysis models which are required to be integrated and associated with the digital twin are fully considered, and the digital twin of the tower type gravity energy storage system which is more close to actual scene requirements and can dynamically update simulation calculation is established. The data analysis capability of the system is improved through a big data analysis method, the safety of the system is improved through intelligent monitoring and control, the system efficiency is improved through accurate analysis of the system performance, and the economic benefit is improved through improvement of the system efficiency and reliability.
As an alternative embodiment, adjusting the initial digital twinning based on the test results and the verification results includes:
determining the running condition of the initial digital twin body according to the test result and the verification result;
and adjusting a control strategy and optimizing system state parameters according to the running condition.
Alternatively, as shown in fig. 3, test and verification: a number of tests and verifications are performed to ensure that the digital twin is able to meet the requirements and achieve the desired performance, i.e., the target performance, including: according to a large number of test and verification results, determining the running condition of the initial digital twin body, and then according to the running condition, the condition of the actual gravity energy storage system and the target requirement, adjusting the control strategy of the initial digital twin body, and optimizing the system state parameters of the initial digital twin body.
In the embodiment of the application, the initial digital twin body is adjusted according to the test result and the verification result, so that the digital twin body can meet the requirements and reach the target performance.
As an alternative embodiment, after analyzing the real-time data to determine whether there is a problem with the simulated gravity energy storage system, the method further comprises:
and under the condition that the analog gravity energy storage system has no problem, determining a preset control algorithm, wherein the initial digital twin body controls the actual gravity energy storage system through the preset control algorithm.
Alternatively, as shown in fig. 3, intelligent control: the intelligent control algorithm (namely a preset control algorithm) is realized, the flexibility and the intelligence of the control strategy are improved, and the digital twin body can control the actual gravity energy storage system through the intelligent control algorithm.
In the embodiment of the application, the intelligence of the gravity energy storage system is improved through intelligent monitoring and intelligent control algorithms.
As an alternative embodiment, after the initial digital twin is taken as a digital twin, the method further comprises:
and maintaining and upgrading the digital twin body according to a preset period.
Optionally, in the actual implementation process, the influence of environmental factors on the system performance needs to be considered, and the system parameters of the digital twin are timely adjusted through an external interface so as to ensure the performance of the digital twin. As shown in fig. 2: the external interface comprises an interface for system maintenance and upgrading, and can conveniently carry out system maintenance and upgrading operation. The above process is shown in fig. 3: maintenance and upgrade: and (3) maintaining and upgrading the digital twin body regularly (namely according to a preset period), so that the digital twin body can always keep high efficiency, accuracy and reliability.
In the embodiment of the application, the digital twin body is maintained and upgraded regularly, so that the accuracy and the reliability of the digital twin body are ensured, the energy consumption is reduced, and the sustainability of the gravity energy storage system is improved.
As an alternative embodiment, when the digital twin body is used for predicting the service life of the tower type gravity energy storage system, the steps of constructing and using the digital twin body include:
step 1: a digital twin body model of the tower type gravity energy storage system is established, and the model comprises factors such as system structure, materials, process, environmental conditions and the like.
Step 2: raw data of the system, such as material property data, environmental conditions, process parameters and the like, are input.
Step 3: the operation states of the tower type gravity energy storage system in different time periods are simulated by utilizing the digital twin bodies.
Step 4: the simulation results are analyzed to determine the fatigue life of the system over different time periods.
Step 5: the expected life of the system is derived by comparing the fatigue life of the system over different time periods.
Step 6: and determining the time schedule of system replacement and maintenance through simulation results and predicted service life.
Step 7: the digital twin body model is continuously updated, and the accuracy of the prediction result is ensured by updating the operation data of the actual system.
In the embodiment of the application, a digital twin body is constructed, the running states of the tower type gravity energy storage system in different time periods are simulated by the digital twin body, and the service life is determined according to the simulation result. The efficiency and the safety of the gravity energy storage system are improved.
As an alternative embodiment, when the digital twin body is used for fault early warning of the tower type gravity energy storage system, the steps of constructing and using the digital twin body include:
step 1: a digital twin body model of the tower type gravity energy storage system is established, and the model comprises factors such as system structure, materials, process, environmental conditions and the like.
Step 2: raw data of the system, such as material property data, environmental conditions, process parameters and the like, are input.
Step 3: the operation states of the tower type gravity energy storage system in different time periods are simulated by utilizing the digital twin bodies.
Step 4: and analyzing the simulation result to determine the possibility of failure of the system in different time periods.
Step 5: and predicting the fault possibility of the system under different environmental conditions by utilizing the performance of the digital twin body simulation tower type gravity energy storage system under different environmental conditions.
Step 6: and obtaining the early warning signal of the system by comparing the fault possibility of the system in different time periods.
Step 7: and (5) carrying out maintenance and overhaul of the system by using the early warning signals.
Step 8: the system operating state is continuously monitored and recorded, and the digital twin body model is continuously updated according to the new data.
Step 9: the digital twin body is utilized to monitor the system in real time, and the possible problems are found and processed in time.
Step 10: the service life prediction and fault early warning of the system are continuously optimized by continuously updating the digital twin body model and monitoring the running state of the system.
In the embodiment of the application, the digital twin body is constructed, the operation states of the tower type gravity energy storage system in different time periods are simulated by the digital twin body, the simulation results are analyzed, the fault possibility is obtained, and the early warning signal is sent out. The efficiency and the safety of the gravity energy storage system are improved.
As an alternative embodiment, when using a tower gravity energy storage system digital twin for energy management, the steps of constructing and using the digital twin include:
step 1: and evaluating the energy management system by using a digital twin body of the tower type gravity energy storage system to determine the energy utilization condition of the system.
Step 2: the energy management system is modeled by a digital twin body, and the energy demand and supply conditions in different time periods are predicted through simulation.
Step 3: and (3) formulating an energy management strategy according to the simulation result, and performing energy balance adjustment.
Step 4: the energy storage system is monitored and optimized by using a digital twin body of the tower type gravity energy storage system, so that the optimal running state of the energy storage system is ensured.
Step 5: and analyzing the energy market by utilizing the digital twin body, and making an energy transaction decision.
Step 6: the digital twin body is utilized to monitor and optimize the energy consumption so as to reduce the energy cost.
Step 7: the operation efficiency and stability of the system are improved by digitally modeling and simulating the energy management system.
Step 8: and the digital twin body of the tower type gravity energy storage system is utilized for predictive maintenance and fault diagnosis, so that the high availability of the system is ensured.
Step 9: the digital twin body is utilized to remotely monitor and maintain the energy equipment, so that the service life of the equipment is prolonged.
Step 10: the data of the energy management system is analyzed through the digital twin body, so that the intelligent level of the system is improved.
In the embodiment of the application, the energy transaction decision is made by constructing a digital twin body, simulating the running states of the tower type gravity energy storage system in different time periods by utilizing the digital twin body, analyzing the simulation results, determining the energy demand and supply conditions, and carrying out the energy transaction decision. The intelligent level, the running efficiency and the stability of the gravity energy storage system are improved.
According to another aspect of embodiments of the present application, there is also provided a digital twin construction device of a gravity energy storage system for implementing the digital twin construction method of a gravity energy storage system described above. FIG. 4 is a block diagram of a digital twin body construction device of an alternative gravity energy storage system according to an embodiment of the present application, as shown in FIG. 4, which may include:
The acquisition module 401 is configured to acquire a system parameter of an actual gravity energy storage system and a target performance of a digital twin body, where the system parameter can obtain the target performance;
a building module 402, configured to build a plurality of simulation models according to system parameters;
an obtaining module 403, configured to obtain an initial digital twin based on the simulation model;
the adjustment module 404 is configured to perform data docking on the initial digital twin and the actual gravity energy storage system, and perform testing and adjustment on the initial digital twin until the initial digital twin meets the target performance;
as a module 405, for taking the initial digital twin as a digital twin.
It should be noted that, the acquiring module 401 in this embodiment may be used to perform the above-mentioned step S101, the establishing module 402 in this embodiment may be used to perform the above-mentioned step S102, the obtaining module 403 in this embodiment may be used to perform the above-mentioned step S103, the adjusting module 404 in this embodiment may be used to perform the above-mentioned step S104, and the serving module 405 in this embodiment may be used to perform the above-mentioned step S105.
Through the modules, firstly, a plurality of simulation models are established according to system parameters of an actual gravity energy storage system; secondly, establishing an initial digital twin body based on a simulation model; and then, testing and verifying the performance of the initial digital twin body by using an actual gravity energy storage system, and adjusting the initial digital twin body according to the testing and verifying results until the initial digital twin body meets the target performance. The method is based on the actual gravity energy storage system, fully considers various simulation analysis models which are required to be integrated and associated by the digital twin, and establishes the digital twin which is closer to the actual scene requirement and can dynamically update the simulation calculation of the gravity energy storage system. The problems of incomplete included model and poor simulation effect caused by the fact that factors in multiple aspects of the gravity energy storage system are not comprehensively considered in the related technology are solved.
As an alternative embodiment, the establishing module comprises:
the first acquisition unit is used for acquiring the motion trail and the environmental parameters of the weight in the actual gravity energy storage system from the system parameters;
the first obtaining unit is used for describing a motion track through a preset equation based on environmental parameters to obtain a physical model of the simulated gravity energy storage system, wherein the simulated gravity energy storage system is contained in an initial digital twin body;
the first determining unit is used for determining a control strategy of the simulated gravity energy storage system according to the system parameters;
the first building unit is used for building a control system model for simulating the gravity energy storage system according to a control strategy, a motion trail and a preset control method;
the second acquisition unit is used for acquiring the performance parameters of the electrical equipment in the actual gravity energy storage system from the system parameters;
and the second building unit is used for building an electric system model for simulating the gravity energy storage system according to the performance parameters.
As an alternative embodiment, the obtaining module comprises:
the optimizing unit is used for optimizing the physical model, the control system model and the electrical system model through a preset optimizing algorithm;
the first integration unit is used for integrating the physical model, the control system model and the electric system model to obtain a simulated gravity energy storage system;
The third establishing unit is used for establishing a database, wherein the database is used for storing system state parameters of the simulated gravity energy storage system;
the generation unit is used for generating an adaptive control algorithm based on the control system model, wherein the adaptive control algorithm is used for adjusting system state parameters and control strategies;
the second integration unit is used for integrating the analog gravity energy storage system, the database and the self-adaptive control algorithm to obtain an initial digital twin body.
As an alternative embodiment, the adjustment module comprises:
the third acquisition unit is used for acquiring actual test data from the actual gravity energy storage system and importing the actual test data into the initial digital twin body;
the monitoring unit is used for monitoring the analog gravity energy storage system in the initial digital twin body in real time according to a preset monitoring algorithm to obtain real-time data;
the judging unit is used for analyzing the real-time data and judging whether the simulated gravity energy storage system has a problem or not;
the verification unit is used for verifying whether the system performance of the simulated gravity energy storage system meets preset conditions or not by using a preset simulation model and actual operation data of the actual gravity energy storage system under the condition that the simulated gravity energy storage system has no problem;
And the adjusting unit is used for carrying out multiple tests and verification on the initial digital twin body under the condition that the system performance meets the preset condition, and adjusting the initial digital twin body according to the test result and the verification result until the initial digital twin body meets the target performance.
As an alternative embodiment, the adjusting unit comprises:
the determining submodule is used for determining the running condition of the initial digital twin body according to the test result and the verification result;
and the adjusting sub-module is used for adjusting the control strategy and optimizing the system state parameters according to the running condition.
As an alternative embodiment, the adjustment module further comprises:
and the second determining unit is used for determining a preset control algorithm under the condition that the analog gravity energy storage system has no problem, wherein the initial digital twin body controls the actual gravity energy storage system through the preset control algorithm.
As an alternative embodiment, the apparatus further comprises:
and the upgrading module is used for maintaining and upgrading the digital twin body according to a preset period.
It should be noted that the above modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to what is disclosed in the above embodiments.
According to yet another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the digital twin body construction method of the gravity energy storage system described above, which may be a server, a terminal, or a combination thereof.
Fig. 5 is a block diagram of an alternative electronic device, according to an embodiment of the present application, including a processor 501, a communication interface 502, a memory 503, and a communication bus 504, as shown in fig. 5, wherein the processor 501, the communication interface 502, and the memory 503 communicate with each other via the communication bus 504, wherein,
a memory 503 for storing a computer program;
the processor 501, when executing the computer program stored on the memory 503, performs the following steps:
acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
establishing a plurality of simulation models according to system parameters;
obtaining an initial digital twin body based on the simulation model;
performing data butt joint on the initial digital twin body and an actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
the initial digital twin is taken as the digital twin.
Alternatively, in the present embodiment, the above-described communication bus may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The memory may include RAM or may include non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
As an example, as shown in fig. 5, the memory 503 may include, but is not limited to, an acquisition module 401, a setup module 402, an acquisition module 403, an adjustment module 404, and a module 405 in a digital twin body construction device including the gravity energy storage system. In addition, other module units in the digital twin body construction device of the gravity energy storage system may be included, but are not limited to, and are not described in detail in this example.
The processor may be a general purpose processor and may include, but is not limited to: CPU (Central Processing Unit ), NP (Network Processor, network processor), etc.; but also DSP (Digital Signal Processing, digital signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field-Programmable Gate Array, field programmable gate array) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments, and this embodiment is not described herein.
It will be understood by those skilled in the art that the structure shown in fig. 5 is only schematic, and the device implementing the method for constructing a digital twin body of the gravity energy storage system may be a terminal device, and the terminal device may be a smart phone (such as an Android mobile phone, an iOS mobile phone, etc.), a tablet computer, a palm computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, etc. Fig. 5 is not limited to the structure of the electronic device described above. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 5, or have a different configuration than shown in fig. 5.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program for instructing a terminal device to execute in association with hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, etc.
According to yet another aspect of embodiments of the present application, there is also provided a storage medium. Alternatively, in the present embodiment, the storage medium described above may be used to store program code for performing the digital twin body construction method of the gravity energy storage system.
Alternatively, in this embodiment, the storage medium may be located on at least one network device of the plurality of network devices in the network shown in the above embodiment.
Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of:
acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
establishing a plurality of simulation models according to system parameters;
obtaining an initial digital twin body based on the simulation model;
performing data butt joint on the initial digital twin body and an actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
the initial digital twin is taken as the digital twin.
Alternatively, specific examples in the present embodiment may refer to examples described in the above embodiments, which are not described in detail in the present embodiment.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, ROM, RAM, a mobile hard disk, a magnetic disk or an optical disk.
In the description of the present specification, a description referring to the terms "present embodiment," "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless explicitly specified otherwise.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (9)
1. A method of digital twin construction of a gravity energy storage system, the method comprising:
acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
establishing a plurality of simulation models according to the system parameters, wherein the establishing the plurality of simulation models according to the system parameters comprises: acquiring a motion trail and environmental parameters of a weight in the actual gravity energy storage system from the system parameters; describing the motion trail through a preset equation based on the environmental parameters to obtain a physical model of a simulated gravity energy storage system, wherein the simulated gravity energy storage system is contained in an initial digital twin body; determining a control strategy of the simulated gravity energy storage system according to the system parameters; establishing a control system model of the simulated gravity energy storage system according to the control strategy, the motion trail and a preset control method; acquiring performance parameters of electrical equipment in the actual gravity energy storage system from the system parameters; establishing an electrical system model of the simulated gravity energy storage system according to the performance parameters;
Obtaining the initial digital twin based on the simulation model;
performing data butt joint on the initial digital twin body and the actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
the initial digital twin is taken as a digital twin.
2. The method of claim 1, wherein the deriving an initial digital twin based on the simulation model comprises:
optimizing the physical model, the control system model and the electrical system model through a preset optimization algorithm;
integrating the physical model, the control system model and the electrical system model to obtain the simulated gravity energy storage system;
establishing a database, wherein the database is used for storing system state parameters of the simulated gravity energy storage system;
generating an adaptive control algorithm based on the control system model, wherein the adaptive control algorithm is used for adjusting the system state parameters and the control strategy;
and integrating the simulated gravity energy storage system, the database and the self-adaptive control algorithm to obtain the initial digital twin body.
3. The method of claim 2, wherein said data interfacing the initial digital twin with the actual gravity energy storage system, testing and tuning the initial digital twin until the initial digital twin meets the target performance, comprises:
acquiring actual test data from the actual gravity energy storage system, and importing the actual test data into the initial digital twin body;
according to a preset monitoring algorithm, the analog gravity energy storage system in the initial digital twin body is monitored in real time, and real-time data are obtained;
analyzing the real-time data and judging whether the simulated gravity energy storage system has a problem or not;
under the condition that the simulated gravity energy storage system has no problem, verifying whether the system performance of the simulated gravity energy storage system meets preset conditions or not by using a preset simulation model and actual operation data of the actual gravity energy storage system;
and under the condition that the system performance meets the preset condition, testing and verifying the initial digital twin body for multiple times, and adjusting the initial digital twin body according to the testing result and the verification result until the initial digital twin body meets the target performance.
4. A method according to claim 3, wherein said adjusting said initial digital twinning in accordance with test results and verification results comprises:
determining the running condition of the initial digital twin body according to the test result and the verification result;
and adjusting the control strategy and optimizing the system state parameters according to the running condition.
5. The method of claim 3, wherein after said analyzing the real-time data to determine if a problem exists with the simulated gravity energy storage system, the method further comprises:
and under the condition that the analog gravity energy storage system has no problem, determining a preset control algorithm, wherein the initial digital twin body controls the actual gravity energy storage system through the preset control algorithm.
6. The method of claim 1, wherein after said assuming the initial digital twin as a digital twin, the method further comprises:
and maintaining and upgrading the digital twin body according to a preset period.
7. A digital twin body construction device of a gravity energy storage system, comprising:
the acquisition module is used for acquiring system parameters of an actual gravity energy storage system and target performance of a digital twin body, wherein the system parameters can obtain the target performance;
The establishing module is used for establishing a plurality of simulation models according to the system parameters, wherein the establishing module comprises: the first acquisition unit is used for acquiring the motion trail and the environmental parameters of the weight in the actual gravity energy storage system from the system parameters; the first obtaining unit is used for describing the motion trail through a preset equation based on the environmental parameters to obtain a physical model of the simulated gravity energy storage system, wherein the simulated gravity energy storage system is contained in an initial digital twin; the first determining unit is used for determining a control strategy of the simulated gravity energy storage system according to the system parameters; the first establishing unit is used for establishing a control system model of the simulated gravity energy storage system according to the control strategy, the motion trail and a preset control method; the second acquisition unit is used for acquiring the performance parameters of the electrical equipment in the actual gravity energy storage system from the system parameters; the second building unit is used for building an electric system model of the simulated gravity energy storage system according to the performance parameters;
the obtaining module is used for obtaining the initial digital twin body based on the simulation model;
The adjusting module is used for carrying out data butt joint on the initial digital twin body and the actual gravity energy storage system, and testing and adjusting the initial digital twin body until the initial digital twin body meets the target performance;
as a module for taking the initial digital twin as a digital twin.
8. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus, characterized in that,
the memory is used for storing a computer program;
the processor is configured to perform the method steps of any one of claims 1 to 6 by running the computer program stored on the memory.
9. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program, when executed by a processor, implements the method steps of any of claims 1 to 6.
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