CN117194550A - Full-path data display method for multi-energy circulation - Google Patents
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Abstract
The application discloses a full-path data display method of multi-energy circulation, which comprises the following steps: s1: acquiring position information of a user side and energy equipment, and constructing a spatial position model; s2: constructing an energy flow path according to the spatial position model and an energy flow mechanism; s3: acquiring historical user side and energy equipment monitoring data, performing energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule; s4: constructing a digital twin path display model according to the spatial position model, the energy source streaming path and the path loss rule; s5: and acquiring the demand information, and displaying full-path data of the energy circulation by the digital twin path display model according to the demand information. The application has the beneficial effects that: the method can obtain the actual energy loss condition according to the path loss rule, ensure the actual lamination of the displayed energy circulation full-path data, meanwhile, the real-time monitoring data is not required to be relied on, the simulation accuracy is improved, and meanwhile, the simulation instantaneity is improved.
Description
Technical Field
The application relates to the technical field of data visualization, in particular to a full-path data display method for multi-energy circulation.
Background
The multi-energy system is a new energy system formed by coupling multiple energy systems such as cold, heat, electricity, gas and the like in links such as energy production, transmission, use and the like. The multi-energy system fully utilizes the mutual assistance and complementation of energy sources in different forms, improves the economy of the system, improves the flexibility of the system, increases the reliability of the system and digs the complementarity of the system. The energy consumption, the energy production and the unit energy circulation path display among industries can be used for knowing the energy among industries and the energy resource utilization efficiency and the energy structure condition, and guiding the optimization adjustment of the energy configuration among industries based on the energy consumption and the energy resource utilization efficiency and the energy structure condition, so as to establish a reasonable energy structure.
The digital twin is to fully utilize data such as a physical model, sensor update, operation history and the like, integrate simulation processes of multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities, and complete mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment. However, in the related art, the statistics of the multi-energy source flow data are limited to the monitoring data of each energy point, and the losses in the actual energy flow situation are ignored, so that the multi-energy source flow situation of the digital twin simulation exists in and out from the actual situation.
Chinese patent (a data visualization interaction method of a digital twin body of a multi-energy system) discloses No.: CN 113591173a, publication date: 2021, 11, 02, specifically discloses that the method comprises the steps of constructing a visual model based on a digital twin body of a multi-energy system and generating; displaying the generated visual model; and the user interacts with the displayed visual model by clicking a mouse, and performs specific content display according to the object of interest to obtain different display contents and effects. The scheme establishes a visual model through the topological structure of the multi-energy system and the operation data, but the operation data is only based on the measurement result of the equipment, and the loss in the actual energy circulation process is not considered.
Chinese patent (domestic structure-based new energy multi-type data allocation method and system) publication number: CN115757569a, publication date: 2023, 03 and 07 specifically disclose that data in a system of a new energy power plant is subjected to data extraction, data cleaning, in-library conversion, rule checking and data loading by an ETL technology, and then the data is stored in a corresponding data table according to a data acquisition terminal and a data type, so that each data can be unified and can be called across systems; the data display module is utilized to diversify the display and is easy to expand. In the scheme, all data of the simple lottery are stored and displayed by the data display module, and how to enable the full-path data of the multi-energy circulation to fit with the actual circulation situation is not disclosed.
Disclosure of Invention
Aiming at the problems that the data display of multi-energy circulation is limited to monitoring data and the actual energy circulation condition and loss cannot be displayed in the prior art, the application provides a full-path data display method of multi-energy circulation, which constructs a digital twin-path display model through a spatial position model, an energy circulation path and a path loss rule, adds the path loss rule into the display model, and obtains the path loss rule through simulating and reproducing the energy circulation path, obtains the loss of the historical energy circulation path on the path through the circulation path of historical energy, and obtains the path loss rule through statistical analysis, so that the actual energy loss condition can be obtained according to the path loss rule when simulating the actual multi-energy circulation, the energy circulation full-path data lamination reality displayed by the digital twin-path display model is ensured, and meanwhile, the real-time simulation accuracy is improved without depending on real-time monitoring data, and the user's look is improved.
In order to achieve the technical purpose, the technical scheme provided by the application is that a full-path data display method for multi-energy circulation is characterized in that: the method comprises the following steps: s1: acquiring position information of a user side and energy equipment, and constructing a spatial position model; s2: constructing an energy flow path according to the spatial position model and an energy flow mechanism; s3: acquiring historical user side and energy equipment monitoring data, performing energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule; s4: constructing a digital twin path display model according to the spatial position model, the energy source streaming path and the path loss rule; s5: and acquiring the demand information, and displaying full-path data of the energy circulation by the digital twin path display model according to the demand information.
Further, S2 includes: and building an energy flow path with energy conversion rules according to the spatial position model and the energy flow mechanism.
Further, S5 includes: s51: acquiring requirement information, judging a display requirement according to the requirement information, executing S52 if the display requirement is an optimal solution of a display energy source flow path, and executing S53 if the display requirement is a feasible solution of the display energy source flow path; s52: the digital twin path display model calculates an energy source flow path optimal solution according to the energy source conversion rule and the path loss rule, and displays full path data of the energy source flow path optimal solution; s53: the digital twin path display model calculates an energy flow path feasible solution according to the energy conversion rule and the path loss rule, and displays full path data of all the energy flow path feasible solutions.
Further, S53 further includes: the optimal solution among the energy flow path feasible solutions is labeled.
Further, S53 includes: the method comprises the steps of obtaining the number of paths required to be displayed, calculating the feasible solution of the energy source circulation paths by a digital twin path display model according to an energy conversion rule and a path loss rule, preferably sorting the feasible solution of the energy source circulation paths, screening the feasible solution of the energy source circulation paths according to the preferred sorting, and displaying full path data corresponding to the feasible solution of the energy source circulation paths.
Further, S3 includes: and acquiring historical user side and energy equipment monitoring data, carrying out energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule and an energy equipment operation rule.
Further, S4 includes: and constructing a digital twin path display model according to the spatial position model, the energy source streaming path, the path loss rule and the energy source equipment operation rule.
Further, the operation rule of the energy equipment is a correlation rule of the use time and the operation cost of the energy equipment.
Further, S5 further includes: setting dynamic change time, acquiring demand information, and displaying full-path data of energy circulation in the dynamic time by the digital twin path display model according to the demand information.
Further, S6: acquiring monitoring data of an actual user side and energy equipment, constructing full-path data of actual energy circulation, comparing the full-path data of the actual energy circulation with the full-path data of the displayed energy circulation, calculating to obtain a feedback fluctuation value, and updating a digital twin path display model.
The application has the beneficial effects that: the method comprises the steps of constructing a digital twin path display model through a space position model, an energy source flow path and a path loss rule, adding the path loss rule into the display model, obtaining the path loss rule through simulating the reproduction energy source flow path, obtaining the loss of the historical energy source flow path on the path through the circulation path of the historical energy source, obtaining the path loss rule through statistical analysis, enabling the actual energy source loss condition to be obtained according to the path loss rule when simulating actual multi-energy source circulation, ensuring the fact that all path data of the energy source circulation displayed by the digital twin path display model are fit, simultaneously, not needing to rely on real-time monitoring data, improving simulation accuracy, improving simulation instantaneity and improving user appearance.
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Fig. 1 is a flow chart of a full path data display method of multi-energy circulation according to the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings and examples, it being understood that the detailed description herein is merely a preferred embodiment of the present application, which is intended to illustrate the present application, and not to limit the scope of the application, as all other embodiments obtained by those skilled in the art without making any inventive effort fall within the scope of the present application.
As shown in fig. 1, as a first embodiment of the present application, a full path data display method for multi-energy circulation is provided, which includes the following steps:
s1: acquiring position information of a user side and energy equipment, and constructing a spatial position model;
s2: constructing an energy flow path according to the spatial position model and an energy flow mechanism;
s3: acquiring historical user side and energy equipment monitoring data, performing energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule;
s4: constructing a digital twin path display model according to the spatial position model, the energy source streaming path and the path loss rule;
s5: and acquiring the demand information, and displaying full-path data of the energy circulation by the digital twin path display model according to the demand information.
In this embodiment, the energy flow mechanism is a conversion relationship between multiple energy sources, for example, electrical energy and thermal energy can be converted with each other, and energy flow paths between the energy devices can be obtained according to the spatial location model and the energy flow mechanism. The historical user side and energy equipment monitoring data at least comprise user side energy receiving data, energy equipment energy receiving data and energy equipment energy output data, energy flow reproduction is carried out according to an energy flow path, path loss in the flow process is calculated, and a path loss rule is obtained. At this time, a digital twin path display model is constructed through a spatial position model, an energy source flowing path and a path loss rule, when a user submits requirement information, the digital twin path display model automatically generates an energy source flowing path of the current requirement according to the geographical position information of the user, calculates the flowing loss of energy sources on each path according to the path loss rule, generates path loss data, combines the energy source flowing path of the current requirement, and displays full path data of energy source flowing. Therefore, the multi-energy circulation is more visual, and the path loss in the energy circulation process is considered, so that the data displayed by the digital twin path display model is more in line with the actual situation. In the actual situation, the real-time display of the energy source flow condition requires that the monitoring equipment continuously transmits monitoring data to the display platform, however, in the case of multiple energy sources, more monitoring equipment is necessarily involved, data is received in real time and interference data is eliminated, a server of the display platform is required to receive a large amount of data and calculate at any moment, and obviously, the server of the display platform can bring great calculation pressure. The delay caused by real-time data transmission also brings delay to path display, is unfavorable for the visual experience, builds a digital twin path display model, builds through actual physical, geometric and rule mechanisms, conforms to the actual energy flow condition, meanwhile, the display platform does not need to bear larger calculation pressure at any time, has no delay of data transmission, and improves the visual experience under the condition of meeting the display requirement of a user on the energy flow condition.
In this embodiment, the analysis in step S3 by the neural network algorithm includes: the spatial autocorrelation function and the correlation function are respectively used as neurons, the position relation between a user side and energy equipment is used as input, the spatial autocorrelation function neurons output spatial correlation degrees between the user side and the energy equipment, between the energy equipment and the energy equipment, the spatial correlation degrees and the energy flow process reproduced according to the energy flow path are used as input, and the correlation function neurons output the correlation between the energy loss and the energy flow path, namely, the path loss rule.
As a second embodiment of the present application, the energy transfer mechanism further includes a conversion ratio between multiple energy sources. The energy conversion ratio between different energy sources is necessarily different, and the energy conversion rule is constructed according to the energy conversion ratio. The step S2 comprises the following steps: and building an energy flow path with energy conversion rules according to the spatial position model and the energy flow mechanism. When the demand information is acquired and the full-path data of the energy source circulation is displayed, the optimal solution of the energy source circulation path is calculated according to the energy source conversion rule, and the optimal solution of the energy source circulation path is displayed. Therefore, the actual situation of energy flow can be judged more intuitively, and the actual situation can be adjusted conveniently according to the digital twin path display model.
In this embodiment, step S5 includes:
s51: acquiring requirement information, judging a display requirement according to the requirement information, executing S52 if the display requirement is an optimal solution of a display energy source flow path, and executing S53 if the display requirement is a feasible solution of the display energy source flow path;
s52: the digital twin path display model calculates an energy source flow path optimal solution according to the energy source conversion rule and the path loss rule, and displays full path data of the energy source flow path optimal solution;
s53: the digital twin path display model calculates an energy flow path feasible solution according to the energy conversion rule and the path loss rule, and displays full path data of all the energy flow path feasible solutions.
In this embodiment, the demand information at least includes demand energy data and display demand, and the display demand of the user for the energy path is determined according to the demand information, so as to perform different calculations, output an optimal solution or a feasible solution corresponding to the display demand, so that the user only needs the energy flow path to the optimal solution, reduce the display of useless data, improve the data display definition, improve the user's look and feel, reduce the model simulation rendering difficulty, and reduce the computer load.
In this embodiment, step S53 further includes: the optimal solution among the energy flow path feasible solutions is labeled. Therefore, the user can obtain the optimal solution of the energy source flow path while looking up the feasible solution of the energy source flow path, and the display of useless data is reduced when the user only needs the optimal solution, but when the user needs the feasible solution, a reference is provided for the user, so that the data of the feasible solution of the global energy source flow path can be more clearly distinguished by the user.
In other embodiments, step S53 includes: the method comprises the steps of obtaining the number of paths required to be displayed, calculating the feasible solution of the energy source circulation paths by a digital twin path display model according to an energy conversion rule and a path loss rule, preferably sorting the feasible solution of the energy source circulation paths, screening the feasible solution of the energy source circulation paths according to the preferred sorting, and displaying full path data corresponding to the feasible solution of the energy source circulation paths. The display requirements at least comprise optimal solutions and feasible solution requirements and the number of paths required to display. According to the energy conversion rule, the energy conversion condition between the energy devices can be obtained, the energy conversion loss rate can be obtained through calculation, the energy circulation loss condition between the energy devices can be obtained according to the path loss rule, the energy transmission loss rate is obtained through calculation, the minimum sum value of the energy conversion loss rate and the energy transmission loss rate is used as an objective function, the cost in the user demand information is used as a constraint condition, the optimization calculation is carried out, all feasible solutions meeting the constraint condition can be obtained, at the moment, the ranking from small to large is carried out according to the sum value of the energy conversion loss rate and the energy transmission loss rate corresponding to each feasible solution, namely the optimal ranking is carried out, the feasible solutions of the energy circulation paths are screened according to the number of paths displayed according to the demand, and the full path data of the feasible solutions of the corresponding energy circulation paths are displayed. When the user has the path number requirement for demand display, the user is shown the corresponding number of the best solutions in the feasible solutions.
As a third embodiment of the present application, step S3 includes: acquiring historical user side and energy equipment monitoring data, carrying out energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule and an energy equipment operation rule; the step S4 includes: and constructing a digital twin path display model according to the spatial position model, the energy source streaming path, the path loss rule and the energy source equipment operation rule.
In this embodiment, the operation rule of the energy device is a correlation rule of the usage time and the operation cost of the energy device. The energy equipment operation cost comprises: energy extra loss, energy equipment maintenance loss and energy equipment maintenance loss. The energy extra loss is the energy loss which is additionally generated when the energy equipment operates compared with the energy loss which is additionally generated when the energy equipment operates initially, the energy equipment is just started to be put into use when the energy equipment operates initially, the energy equipment is in an optimal working state at the moment, the conversion rate of the energy equipment can be reduced along with the continuous operation of the energy equipment, the energy loss which is partially reduced at the moment is the energy extra loss, the energy extra loss is increased along with the operation time of the energy equipment, and the history user side and the energy equipment monitoring data are used for learning and training, so that the law that the energy extra loss is increased along with the operation time of the energy equipment is obtained. The maintenance loss of the energy equipment and the maintenance loss of the energy equipment, namely the maintenance and the maintenance loss which need to be carried out in the operation process of the energy equipment, are the greater the probability of maintenance and the more the maintenance times are when the energy equipment is operated for a long time, so that learning and training are carried out according to historical energy equipment detection data, and the maintenance loss of the energy equipment and the law that the maintenance loss of the energy equipment is increased along with the operation time of the equipment are obtained. And establishing a correlation rule of the energy equipment using time and the running cost according to the rule obtained by calculation, namely, an energy equipment running rule. The digital twin path display model can simulate extra operation cost brought by the operation time of the energy equipment according to the operation rule of the energy equipment, so that the extra operation cost of corresponding equipment is output when the energy flow path is simulated, and meanwhile, in some embodiments, the extra operation cost is also used as a value of a possible solution and an optimal solution of the energy flow path, so that the full path data of the energy flow is closer to the actual situation.
In this embodiment, step S5 further includes: setting dynamic change time, acquiring demand information, and displaying full-path data of energy circulation in the dynamic time by the digital twin path display model according to the demand information. By setting the dynamic change time, full-path data of energy circulation in a period of time are provided for users, so that the problem that users cannot intuitively feel the full-path data change of the energy circulation due to the change of the running time of equipment is avoided.
As a fourth embodiment of the present application, a full path data display method for multi-energy circulation, further includes:
s6: acquiring monitoring data of an actual user side and energy equipment, constructing full-path data of actual energy circulation, comparing the full-path data of the actual energy circulation with the full-path data of the displayed energy circulation, calculating to obtain a feedback fluctuation value, and updating a digital twin path display model.
Because part of influence factors can not be intuitively displayed in the actual situation, but all path data of energy circulation is caused to deviate, a feedback fluctuation value is calculated through a difference value between an actual value and an analog value, and a digital twin path display model is updated according to the feedback fluctuation value.
In this embodiment, a feedback model may be further established according to the historical feedback fluctuation value, and the digital twin path display model and the feedback model may be combined to construct a digital twin feedforward path display model, so that the simulation display information is more accurate.
The above embodiments are preferred embodiments of a multi-energy circulation full-path data display method according to the present application, and are not limited to the embodiments, but the scope of the application includes equivalent changes according to the shape and structure of the application.
Claims (10)
1. A full-path data display method of multi-energy circulation is characterized in that: the method comprises the following steps:
s1: acquiring position information of a user side and energy equipment, and constructing a spatial position model;
s2: constructing an energy flow path according to the spatial position model and an energy flow mechanism;
s3: acquiring historical user side and energy equipment monitoring data, performing energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule;
s4: constructing a digital twin path display model according to the spatial position model, the energy source streaming path and the path loss rule;
s5: and acquiring the demand information, and displaying full-path data of the energy circulation by the digital twin path display model according to the demand information.
2. The full-path data display method of multi-energy circulation according to claim 1, wherein:
the step S2 comprises the following steps: and building an energy flow path with energy conversion rules according to the spatial position model and the energy flow mechanism.
3. The full-path data display method of multi-energy circulation according to claim 2, wherein:
the step S5 comprises the following steps:
s51: acquiring requirement information, judging a display requirement according to the requirement information, executing S52 if the display requirement is an optimal solution of a display energy source flow path, and executing S53 if the display requirement is a feasible solution of the display energy source flow path;
s52: the digital twin path display model calculates an energy source flow path optimal solution according to the energy source conversion rule and the path loss rule, and displays full path data of the energy source flow path optimal solution;
s53: the digital twin path display model calculates an energy flow path feasible solution according to the energy conversion rule and the path loss rule, and displays full path data of all the energy flow path feasible solutions.
4. A multi-energy circulation full-path data display method as claimed in claim 3, wherein:
the S53 further includes: the optimal solution among the energy flow path feasible solutions is labeled.
5. A multi-energy circulation full-path data display method as claimed in claim 3, wherein:
the S53 includes: the method comprises the steps of obtaining the number of paths required to be displayed, calculating the feasible solution of the energy source circulation paths by a digital twin path display model according to an energy conversion rule and a path loss rule, preferably sorting the feasible solution of the energy source circulation paths, screening the feasible solution of the energy source circulation paths according to the preferred sorting, and displaying full path data corresponding to the feasible solution of the energy source circulation paths.
6. The full-path data display method of multi-energy circulation according to claim 1, wherein:
the step S3 comprises the following steps: and acquiring historical user side and energy equipment monitoring data, carrying out energy flow reproduction according to an energy flow path, and analyzing through a neural network algorithm to acquire a path loss rule and an energy equipment operation rule.
7. The full path data presentation method of multi-energy circulation as claimed in claim 6, wherein:
the step S4 comprises the following steps: and constructing a digital twin path display model according to the spatial position model, the energy source streaming path, the path loss rule and the energy source equipment operation rule.
8. The full path data presentation method of a multi-energy stream as claimed in claim 7, wherein:
the energy equipment operation rule is a correlation rule of the energy equipment use time and the operation cost.
9. The full path data presentation method of a multi-energy stream as claimed in claim 7, wherein:
the step S5 further includes: setting dynamic change time, acquiring demand information, and displaying full-path data of energy circulation in the dynamic time by the digital twin path display model according to the demand information.
10. The full-path data display method of multi-energy circulation according to claim 1, wherein:
s6: acquiring monitoring data of an actual user side and energy equipment, constructing full-path data of actual energy circulation, comparing the full-path data of the actual energy circulation with the full-path data of the displayed energy circulation, calculating to obtain a feedback fluctuation value, and updating a digital twin path display model.
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| CN117852324B (en) * | 2024-03-08 | 2024-05-10 | 云南云金地科技有限公司 | Scene construction method based on data twinning |
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