CN116843304A - Digital twin park management method, device, equipment and storage medium - Google Patents
Digital twin park management method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of digital twinning, and discloses a digital twinning park management method, a digital twinning park management device, digital twinning park management equipment and a digital twinning park management storage medium. The method comprises the following steps: acquiring park structure information and park management data of a park to be managed; determining the construction sequence of each park entity in the park to be managed according to the park structure information; carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed; performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model; and carrying out operation management on the park to be managed according to the operation simulation result. Through the mode, automatic operation and maintenance of the park are realized under the condition that a large number of monitoring devices and manpower are not required to be laid, timeliness and safety of park management are guaranteed, and human resources are also saved.
Description
Technical Field
The present invention relates to the field of digital twinning technologies, and in particular, to a digital twinning park management method, apparatus, device, and storage medium.
Background
The park is a specific space, the industrial gathering and development of the park are promoted through specific areas, policy measures and comprehensive services, and the large-scale park in China has the problems of large scale, crossed management contents, information fragmentation, labor shortage and the like, challenges are formed on the conventional park management mode, digital requirements of park management are urgent, and the automatic operation and maintenance of the park are realized, so that the requirement for reducing human resources is a problem to be solved urgently at present.
Disclosure of Invention
The invention mainly aims to provide a digital twin park management method, device, equipment and storage medium, which aim at solving the technical problem of how to realize automatic operation and maintenance of a park so as to reduce the demand of human resources in the prior art.
To achieve the above object, the present invention provides a digital twin campus management method, including:
acquiring park structure information and park management data of a park to be managed;
determining the construction sequence of each park entity in the park to be managed according to the park structure information;
carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed;
Performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model;
and carrying out operation management on the park to be managed according to the operation simulation result.
Optionally, the determining the construction order of each campus entity in the to-be-managed campus according to the campus structure information includes:
determining the association relation of each park entity in the park to be managed according to the park structure information;
determining the entity priority of each park entity according to the association relation of each park entity;
and determining the construction sequence of each park entity according to the entity priority of each park entity.
Optionally, the determining the virtual park model of the park to be managed according to the constructing order of each park entity, the park structure information and the park management data by constructing a twin body includes:
constructing a three-dimensional twin body of each park entity according to the construction sequence of each park entity, the park structure information and the park management data;
carrying out model correction on the three-dimensional twin bodies of the garden entities to obtain digital twin bodies of the garden entities;
and determining a virtual park model of the park to be managed according to the digital twin bodies of the park entities.
Optionally, the building the three-dimensional twin body of each campus entity according to the building sequence of each campus entity, the campus structure information and the campus management data includes:
determining a plurality of target type entities in each campus entity;
acquiring entity element data and entity operation data corresponding to each target type entity from the park management data;
determining entity virtual data according to the entity element data and a preset offset;
determining entity fusion data according to the entity operation data and the target verification probability;
and constructing a three-dimensional twin body of each park entity according to the entity fusion data of each target type entity, the entity virtual data of each target type entity, the construction sequence of each park entity and the park structure information.
Optionally, the performing the operation simulation on each campus entity according to the current communication state of the to-be-managed campus and the virtual campus model includes:
determining a current communication state according to the communication parameters of the park to be managed;
when the current communication state is a preset communication state, twin data of the virtual park model are obtained;
and carrying out operation simulation on each park entity according to the twin data and the virtual park model.
Optionally, the determining the current communication state according to the communication parameters of the park to be managed includes:
inputting communication parameters of the park to be managed to a communication state identification model to obtain a communication fault result of the park to be managed;
when the communication fault result is a preset normal result, determining that the current communication state is a preset communication state;
the method comprises the steps of inputting communication parameters of the park to be managed to a communication state identification model, and before obtaining a communication fault result of the park to be managed, further comprising:
acquiring a plurality of sample virtual communication data and sample fault types corresponding to the sample virtual communication data;
and performing model training according to the virtual communication data of each sample and the sample fault type corresponding to the virtual communication data of each sample to obtain a communication state identification model.
Optionally, the training of the model according to the virtual communication data of each sample and the sample fault type corresponding to the virtual communication data of each sample to obtain a communication state identification model includes:
determining a sample parameter extremum according to the virtual communication data of each sample;
normalizing the virtual communication data of each sample according to the sample parameter extremum to obtain sample processing communication data corresponding to the virtual communication data of each sample;
Feature screening is carried out on the sample processing communication data to obtain target sample features corresponding to the sample processing communication data;
performing function construction according to the target characteristics of each sample and the sample fault types corresponding to the virtual communication data of each sample, and determining a target optimization function;
and carrying out model training on the initial network model according to the plurality of target optimization functions to obtain a communication state identification model.
In addition, to achieve the above object, the present invention also proposes a digital twin campus management device, including:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring park structure information and park management data of a park to be managed;
the determining module is used for determining the construction sequence of each park entity in the park to be managed according to the park structure information;
the building module is used for building a twin body according to the building sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed;
the simulation module is used for performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model;
And the management module is used for carrying out operation management on the park to be managed according to the operation simulation result.
In addition, to achieve the above object, the present invention also proposes a digital twin campus management apparatus including: a memory, a processor, and a digital twin campus management program stored on the memory and executable on the processor, the digital twin campus management program configured to implement the digital twin campus management method as described above.
In addition, to achieve the above object, the present invention also proposes a storage medium having stored thereon a digital twin campus management program which, when executed by a processor, implements the digital twin campus management method as described above.
The method comprises the steps of obtaining park structure information and park management data of a park to be managed; determining the construction sequence of each park entity in the park to be managed according to the park structure information; carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed; performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model; and carrying out operation management on the park to be managed according to the operation simulation result. Through the mode, the twin body construction is carried out according to the construction sequence of each park entity in the park to be managed, the park structure information and the park management data, the virtual park model of the park to be managed is obtained, the operation simulation is carried out on each park entity according to the virtual park model of the park to be managed and the current communication state, so that the operation management of a manager to be managed is realized, the automatic operation and maintenance of the park are realized under the condition that a large number of monitoring devices and manpower are not required to be laid, the timeliness and the safety of park management are guaranteed, and the manpower resource is also saved.
Drawings
FIG. 1 is a schematic diagram of a digital twin campus management facility of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of a first embodiment of the digital twin campus management method of the present invention;
FIG. 3 is a flow chart of a second embodiment of the digital twin campus management method of the present invention;
FIG. 4 is a flow chart of a third embodiment of the digital twinned park management method of the present invention;
figure 5 is a block diagram of a first embodiment of a digital twinned park management apparatus in accordance with the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a digital twin campus management device of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the digital twinned park management apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the digital twinned campus management facility, and may include more or fewer components than shown, or may combine certain components, or may be arranged in a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a digital twinned campus manager may be included in the memory 1005 as one type of storage medium.
In the digital twinned park management apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the digital twin park management device of the invention can be arranged in the digital twin park management device, and the digital twin park management device calls the digital twin park management program stored in the memory 1005 through the processor 1001 and executes the digital twin park management method provided by the embodiment of the invention.
An embodiment of the present invention provides a digital twin campus management method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the digital twin campus management method of the present invention.
The digital twinning park management method comprises the following steps:
step S10: and acquiring park structure information and park management data of the park to be managed.
It should be noted that, the execution body of the embodiment is a digital twin campus management device, where the digital twin campus management device has functions of data processing, data communication, program running, etc., and the digital twin campus management device may be an integrated controller, a control computer, etc., and may of course be other devices with similar functions.
It is understood that the campus structure information includes, but is not limited to, three-dimensional coordinates of a to-be-managed campus, a occupation area, three-dimensional coordinates of each entity object in the to-be-managed campus, a occupation area of each entity object, a connection relationship between each entity object and other entity objects, and the like. Physical objects include, but are not limited to, multiple campus buildings, monitoring, roads, work equipment within a campus building, such as various types of sensors, mechanical equipment, and the like.
In a specific implementation, the park to be managed refers to a park to be managed, which needs to be created by adopting a digital twin technology and is managed based on the digital twin, and the park management data includes, but is not limited to, physical attributes such as specifications, functions, performances and the like of physical objects, data reflecting running conditions and environment parameters of the physical entities, virtual entity related data corresponding to the physical objects, algorithms corresponding to each physical object during working, related management standards corresponding to the park to be managed and the like.
It should be noted that, the digital twin campus management device may obtain the campus structure information and the campus management data of the to-be-managed campus through multiple modes such as remote sensing image, management user self-uploading, and each entity object self-uploading.
Step S20: and determining the construction sequence of each park entity in the park to be managed according to the park structure information.
It should be noted that, the campus entity refers to an entity object in the campus to be managed, because the association among individual entity objects, components and groups is extremely important, when the complete structural model of the campus to be managed is constructed, the modeling error or deformation is avoided according to the construction sequence among the entity objects.
It may be appreciated that, to obtain an accurate construction order, further, the determining, according to the campus structure information, the construction order of each campus entity in the to-be-managed campus includes: determining the association relation of each park entity in the park to be managed according to the park structure information; determining the entity priority of each park entity according to the association relation of each park entity; and determining the construction sequence of each park entity according to the entity priority of each park entity.
In a specific implementation, information extraction is performed on the campus structure information to obtain connection relations between each entity object and other entity objects, wherein the connection relations between each entity object and other entity objects are association relations of each campus entity. For example, the association relationship between the building a and the window a is that the window a is located on the building a.
It should be noted that, the priority of each campus entity at the time of creation may be determined according to the association relationship of each campus entity, and the priority ranking is performed according to the priority of each campus entity, so as to obtain the construction order of each campus entity.
Step S30: and constructing a twin body according to the construction sequence of each park entity, the park structure information and the park management data, and determining the virtual park model of the park to be managed.
It should be noted that, according to the construction sequence of each park entity, the park structure information and the park management data, the digital twin bodies of each park entity in the park to be managed are created, and the digital twin bodies of each park entity are combined, so that a complete structural model of the park to be managed is obtained, and the complete structural model of the park to be managed is a virtual park model. In this embodiment, the Unity3D platform may be used to create a digital twin for each campus entity, or other manners may be used, which is not limited in this embodiment.
Step S40: and carrying out operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model.
It should be noted that, the current communication state refers to a communicable state of the current network of the campus to be managed, the current communication state includes two communicable states and a non-communicable state, and when the current communication state is the communicable state, the operation simulation is performed on each campus entity based on the virtual campus model, so as to obtain the current operation state of each campus entity.
Step S50: and carrying out operation management on the park to be managed according to the operation simulation result.
It should be noted that, when the operation simulation result of the campus entity is fault operation, determining a fault type according to the operation simulation result of the campus entity, and searching a fault solution corresponding to the fault type, when the fault solution does not need to be manually processed, no alarm information is sent to the management user, and if the fault solution needs to be manually processed, the alarm information is sent to the management user, so that the user solves the fault.
It can be understood that when determining the operation simulation result of each campus entity, the working state of each campus entity can be determined according to the operation simulation result, for example, when the current ambient brightness of the to-be-managed campus is lower than the preset brightness threshold, the working state of each street lamp in the to-be-managed campus is changed from the off state to the on state.
The embodiment obtains the park structure information and the park management data of the park to be managed; determining the construction sequence of each park entity in the park to be managed according to the park structure information; carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed; performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model; and carrying out operation management on the park to be managed according to the operation simulation result. Through the mode, the twin body construction is carried out according to the construction sequence of each park entity in the park to be managed, the park structure information and the park management data, the virtual park model of the park to be managed is obtained, the operation simulation is carried out on each park entity according to the virtual park model of the park to be managed and the current communication state, so that the operation management of a manager to be managed is realized, the automatic operation and maintenance of the park are realized under the condition that a large number of monitoring devices and manpower are not required to be laid, the timeliness and the safety of park management are guaranteed, and the manpower resource is also saved.
Referring to fig. 3, fig. 3 is a flow chart of a second embodiment of a digital twinning campus management method according to the present invention.
Based on the above first embodiment, the step S30 in the digital twin park management method according to the present embodiment includes:
step S31: and constructing a three-dimensional twin body of each park entity according to the construction sequence of each park entity, the park structure information and the park management data.
It should be noted that, the three-dimensional twin body refers to an unmodified digital twin body of each campus entity, in order to ensure that an accurate three-dimensional twin body is obtained based on the construction sequence of each campus entity, the campus structure information and the campus management data, further, the construction of the three-dimensional twin body of each campus entity according to the construction sequence of each campus entity, the campus structure information and the campus management data includes: determining a plurality of target type entities in each campus entity; acquiring entity element data and entity operation data corresponding to each target type entity from the park management data; determining entity virtual data according to the entity element data and a preset offset; determining entity fusion data according to the entity operation data and the target verification probability; and constructing a three-dimensional twin body of each park entity according to the entity fusion data of each target type entity, the entity virtual data of each target type entity, the construction sequence of each park entity and the park structure information.
It will be appreciated that the target type entity refers to a campus entity belonging to a target type among a plurality of campus entities, and in this embodiment, the target type refers to a campus entity having an operational status, for example, a road, a flower, a tree, etc. is a campus entity having no operational status. The entity element data refers to related data of physical attributes such as specification, function, performance and the like of an entity object of a target type entity, and the entity operation data refers to data reflecting the operation condition of each campus entity.
In a specific implementation, determining target type entities in a plurality of campus entities, extracting data of each target type entity from the campus management data, distinguishing the data of each target type entity, and determining entity operation data and entity element data of each target type entity.
It should be noted that, to normalize the relationship between each park entity and the twin, to improve the consistency of digital twin when the relationship corresponds, firstly, performing data dimension reduction on the entity element data of each park entity by using a principal component analysis method, and performing data correspondence based on the dimension reduced entity element data and a preset offset, where the entity element data of each park entity mapped to the twin is entity virtual data, where the entity virtual data Wherein->For the preset offset->Is the physical element data after dimension reduction.
It can be understood that, in order to achieve the fit between each campus entity and the network, the combination of the campus entity and the operation condition characterization is achieved, so that the operation condition and the data feature are perfectly fitted, and the posterior probability (i.e. the target verification probability) is preset by a kalman filtering modePresenting a Gaussian distribution with a covariance matrix of +.>、/>And updates the status of each campus entity to +.>The value after data fusion is +.>The value after data fusion is the entity fusion data.
Step S32: and carrying out model correction on the three-dimensional twin bodies of the garden entities to obtain digital twin bodies of the garden entities.
After the three-dimensional twin bodies of the garden entities are obtained, twin virtual data of the three-dimensional twin bodies are obtained, error comparison is carried out on the twin virtual data and the data of the garden entities in the garden management data, if the error is lower than a preset error threshold value, the three-dimensional twin bodies are not required to be corrected, and when the error is not lower than the preset error threshold value, model correction is carried out on the three-dimensional twin bodies of the garden entities according to the data of the garden entities in the garden management data, so that corrected three-dimensional twin bodies are obtained, and the corrected three-dimensional twin bodies are digital twin bodies.
Step S33: and determining a virtual park model of the park to be managed according to the digital twin bodies of the park entities.
It should be noted that the digital twins based on each campus entity are combined to obtain the complete structural model of the to-be-managed campus.
In the embodiment, a three-dimensional twin body of each park entity is constructed according to the construction sequence of each park entity, the park structure information and park management data; carrying out model correction on the three-dimensional twin bodies of the garden entities to obtain digital twin bodies of the garden entities; and determining a virtual park model of the park to be managed according to the digital twin bodies of the park entities. By the method, the three-dimensional twin bodies of the park entities are constructed according to the construction sequence of the park entities, the park structure information and the park management data, model correction is carried out on the three-dimensional twin bodies of the park entities, and digital twin bodies of the park entities are obtained, so that accuracy and simulation of the virtual park model are guaranteed.
Referring to fig. 4, fig. 4 is a flow chart of a third embodiment of a digital twinning campus management method according to the present invention.
Based on the above embodiment, in the step S40 in the digital twin park management method of the present embodiment, the method includes:
Step S41: and determining the current communication state according to the communication parameters of the park to be managed.
It should be noted that the communication parameters include, but are not limited to, a received signal strength indication, a signal-to-noise ratio, a received signal strength, and a received signal command equal to a parameter related to network communication quality.
It can be understood that the state of the current network communication of the park to be managed can be determined according to the communication parameters between each park entity and the digital twin corresponding to each park entity in the park to be managed, and the state of the current network communication is the current communication state.
In a specific implementation, in order to obtain an accurate current communication state, further, the determining the current communication state according to the communication parameters of the park to be managed includes: inputting communication parameters of the park to be managed to a communication state identification model to obtain a communication fault result of the park to be managed; when the communication fault result is a preset normal result, determining that the current communication state is a preset communication state; the method comprises the steps of inputting communication parameters of the park to be managed to a communication state identification model, and before obtaining a communication fault result of the park to be managed, further comprising: acquiring a plurality of sample virtual communication data and sample fault types corresponding to the sample virtual communication data; and performing model training according to the virtual communication data of each sample and the sample fault type corresponding to the virtual communication data of each sample to obtain a communication state identification model.
It should be noted that the communication state recognition model is obtained by training the generated type countermeasure network through a plurality of sample virtual communication data and sample fault types corresponding to each sample virtual communication data, and the sample fault types refer to network communication fault types, including but not limited to external signal interference, configuration errors, hardware damage, and the like. And inputting the communication parameters of the park to be managed into a communication state recognition model, wherein the communication state recognition model can output a communication fault recognition result corresponding to the communication parameters.
It can be understood that when the result output by the communication state identification model is a result that the fault type is not identified, the communication fault result is a preset normal result, and the current communication state is determined to be a communicable state at this time, and the preset communication state is a communicable state.
In a specific implementation, in order to obtain an accurate communication state recognition model, further, the training of the model according to each sample virtual communication data and the sample fault type corresponding to each sample virtual communication data to obtain a communication state recognition model includes: determining a sample parameter extremum according to the virtual communication data of each sample; normalizing the virtual communication data of each sample according to the sample parameter extremum to obtain sample processing communication data corresponding to the virtual communication data of each sample; feature screening is carried out on the sample processing communication data to obtain target sample features corresponding to the sample processing communication data; performing function construction according to the target characteristics of each sample and the sample fault types corresponding to the virtual communication data of each sample, and determining a target optimization function; and carrying out model training on the initial network model according to the plurality of target optimization functions to obtain a communication state identification model.
It should be noted that, the sample virtual communication data refers to communication fault parameters in the virtual park model, one sample virtual communication data includes a set of communication parameters, the communication parameters in all sample virtual communication data are integrated, and the maximum value and the minimum value corresponding to each communication parameter are obtained, where the maximum value and the minimum value corresponding to each communication parameter in all communication parameters are sample parameter extremum.
It can be understood that, each parameter in each sample virtual communication data is normalized by using the sample parameter extremum, so as to obtain normalized sample virtual communication data, and the normalized sample virtual communication data is the sample processing communication data. Sample processing communication data，/>，/>Wherein->Representing the number of sample virtual communication data, +.>Representing the total number of communication parameters contained in all sample virtual communication data, +.>Indicate->Sample virtual communication data +.>Normalized value of the individual communication parameters, +.>Indicate->Sample virtual communication data +.>The value of the individual communication parameters->Indicate->Minimum value of individual communication parameters +.>Indicate->Maximum of the individual communication parameters.
In a specific implementation, the feature weight of each communication parameter is obtained, if the feature weight is larger, the larger the influence generated in fault classification is, the communication parameters in each sample processing communication data are screened according to the feature weight of each communication parameter, and the target sample features corresponding to each sample processing communication data are determined.
It should be noted that, by constructing a large number of training sample features and training fault types corresponding to the training sample features by the target sample features and the sample fault types corresponding to the target sample features, inputting a plurality of target sample features and the sample fault types corresponding to the target sample features, the training sample features and the training fault types corresponding to the training sample features to the generator GEN, and obtaining the target optimization function after generator optimizationWherein->Refers to the distribution of normalized data of the characteristics of each target sample,/->Refers to the distribution of input noise, +.>Refers to the correspondence between the target sample feature and the sample fault type corresponding to the target sample feature,/->Refers to +.>Probability from the target sample feature distribution.
It will be appreciated that the loss function of the generator GEN is in this embodimentThe loss function of the determiner DIS is in this embodimentWherein->Refers to the distribution of the data generated by the generator, < >>Refers to the distribution of the characteristics of each target sample, +.>Refers to the +.A whole feature set consisting of each target sample feature and each training sample feature is sampled>For punishment items->Is penalty coefficient, and- >The closer to 1, the less penalties are +.>Refers to at->Parameters of the moment of time->Is updated with training>Generator parameters.
In a specific implementation, model training is performed on the countermeasure generation network based on a plurality of target sample features, sample fault types corresponding to the target sample features, training sample features and training fault types corresponding to the training sample features, and the trained model is a communication state identification model.
Step S42: and when the current communication state is a preset communication state, obtaining twin data of the virtual park model.
It should be noted that when the current communication state is the preset communication state, the description may perform normal simulation based on the virtual park model, and all twin data in the virtual park model are acquired at this time, including, but not limited to, operation condition data of each park entity, and model related data of a digital twin corresponding to each park entity.
Step S43: and carrying out operation simulation on each park entity according to the twin data and the virtual park model.
It should be noted that, based on the twin data and the virtual garden model, running simulation is performed on the running condition of each garden entity, the running data of each garden entity is associated with the data characteristics of each digital twin body, so that the bidirectional connection of the entity and the twin body is realized, and the purpose of monitoring and managing the running condition of the garden entity in real time is achieved through the digital twin body.
The embodiment determines the current communication state according to the communication parameters of the park to be managed; when the current communication state is a preset communication state, twin data of the virtual park model are obtained; and carrying out operation simulation on each park entity according to the twin data and the virtual park model. By the method, when the current communication state is the preset communication state, the operation simulation is performed on each park entity based on the twin data of the virtual park model and the virtual park model, so that the normal running of the simulation and the real-time performance of the simulation are ensured.
In addition, referring to fig. 5, the embodiment of the invention further provides a digital twin campus management device, where the digital twin campus management device includes:
and the acquiring module 10 is used for acquiring the park structure information and the park management data of the park to be managed.
And the determining module 20 is configured to determine a construction order of each campus entity in the to-be-managed campus according to the campus structure information.
And the construction module 30 is configured to perform twin body construction according to the construction sequence of each campus entity, the campus structure information and the campus management data, and determine a virtual campus model of the to-be-managed campus.
And the simulation module 40 is used for performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model.
And the management module 50 is used for performing operation management on the park to be managed according to the operation simulation result.
The embodiment obtains the park structure information and the park management data of the park to be managed; determining the construction sequence of each park entity in the park to be managed according to the park structure information; carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed; performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model; and carrying out operation management on the park to be managed according to the operation simulation result. Through the mode, the twin body construction is carried out according to the construction sequence of each park entity in the park to be managed, the park structure information and the park management data, the virtual park model of the park to be managed is obtained, the operation simulation is carried out on each park entity according to the virtual park model of the park to be managed and the current communication state, so that the operation management of a manager to be managed is realized, the automatic operation and maintenance of the park are realized under the condition that a large number of monitoring devices and manpower are not required to be laid, the timeliness and the safety of park management are guaranteed, and the manpower resource is also saved.
In an embodiment, the determining module 20 is further configured to determine an association relationship between each campus entity in the to-be-managed campus according to the campus structure information;
determining the entity priority of each park entity according to the association relation of each park entity;
and determining the construction sequence of each park entity according to the entity priority of each park entity.
In an embodiment, the building module 30 is further configured to perform twin body building according to the building order of each campus entity, the campus structure information, and the campus management data, and determine the virtual campus model of the to-be-managed campus, where the determining includes:
constructing a three-dimensional twin body of each park entity according to the construction sequence of each park entity, the park structure information and the park management data;
carrying out model correction on the three-dimensional twin bodies of the garden entities to obtain digital twin bodies of the garden entities;
and determining a virtual park model of the park to be managed according to the digital twin bodies of the park entities.
In one embodiment, the building module 30 is further configured to determine a plurality of target type entities among the campus entities;
acquiring entity element data and entity operation data corresponding to each target type entity from the park management data;
Determining entity virtual data according to the entity element data and a preset offset;
determining entity fusion data according to the entity operation data and the target verification probability;
and constructing a three-dimensional twin body of each park entity according to the entity fusion data of each target type entity, the entity virtual data of each target type entity, the construction sequence of each park entity and the park structure information.
In one embodiment, the simulation module 40 is further configured to determine a current communication status according to the communication parameters of the campus to be managed;
when the current communication state is a preset communication state, twin data of the virtual park model are obtained;
and carrying out operation simulation on each park entity according to the twin data and the virtual park model.
In an embodiment, the simulation module 40 is further configured to input the communication parameters of the to-be-managed campus to a communication state recognition model, so as to obtain a communication failure result of the to-be-managed campus;
when the communication fault result is a preset normal result, determining that the current communication state is a preset communication state;
the method comprises the steps of inputting communication parameters of the park to be managed to a communication state identification model, and before obtaining a communication fault result of the park to be managed, further comprising:
Acquiring a plurality of sample virtual communication data and sample fault types corresponding to the sample virtual communication data;
and performing model training according to the virtual communication data of each sample and the sample fault type corresponding to the virtual communication data of each sample to obtain a communication state identification model.
In one embodiment, the computing module 10 is further configured to determine a sample parameter extremum according to each sample virtual communication data;
normalizing the virtual communication data of each sample according to the sample parameter extremum to obtain sample processing communication data corresponding to the virtual communication data of each sample;
feature screening is carried out on the sample processing communication data to obtain target sample features corresponding to the sample processing communication data;
performing function construction according to the target characteristics of each sample and the sample fault types corresponding to the virtual communication data of each sample, and determining a target optimization function;
and carrying out model training on the initial network model according to the plurality of target optimization functions to obtain a communication state identification model.
Because the device adopts all the technical schemes of all the embodiments, the device at least has all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a digital twinned park management program, and the digital twinned park management program realizes the steps of the digital twinned park management method when being executed by a processor.
Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in this embodiment may refer to the digital twin campus management method provided in any embodiment of the present invention, which is not described herein.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A digital twinned park management method, comprising:
acquiring park structure information and park management data of a park to be managed;
determining the construction sequence of each park entity in the park to be managed according to the park structure information;
carrying out twin body construction according to the construction sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed;
performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model;
and carrying out operation management on the park to be managed according to the operation simulation result.
2. The digital twin campus management method as defined in claim 1, wherein determining the order of construction of each campus entity in the to-be-managed campus based on the campus structure information comprises:
determining the association relation of each park entity in the park to be managed according to the park structure information;
determining the entity priority of each park entity according to the association relation of each park entity;
and determining the construction sequence of each park entity according to the entity priority of each park entity.
3. The digital twinned campus management method of claim 1, wherein the determining the virtual campus model of the to-be-managed campus based on the construction order of each campus entity, the campus structure information, and the campus management data comprises:
constructing a three-dimensional twin body of each park entity according to the construction sequence of each park entity, the park structure information and the park management data;
carrying out model correction on the three-dimensional twin bodies of the garden entities to obtain digital twin bodies of the garden entities;
and determining a virtual park model of the park to be managed according to the digital twin bodies of the park entities.
4. The digital twinning campus management method of claim 3, wherein the constructing a three-dimensional twinned body for each campus entity based on the construction order of each campus entity, the campus structure information, and the campus management data comprises:
determining a plurality of target type entities in each campus entity;
acquiring entity element data and entity operation data corresponding to each target type entity from the park management data;
determining entity virtual data according to the entity element data and a preset offset;
Determining entity fusion data according to the entity operation data and the target verification probability;
and constructing a three-dimensional twin body of each park entity according to the entity fusion data of each target type entity, the entity virtual data of each target type entity, the construction sequence of each park entity and the park structure information.
5. The digital twin park management method as set forth in claim 1, wherein said performing a running simulation on each park entity based on the current communication status of the park to be managed and the virtual park model includes:
determining a current communication state according to the communication parameters of the park to be managed;
when the current communication state is a preset communication state, twin data of the virtual park model are obtained;
and carrying out operation simulation on each park entity according to the twin data and the virtual park model.
6. The digital twinned campus management method of claim 5, wherein the determining the current communication status according to the communication parameters of the to-be-managed campus comprises:
inputting communication parameters of the park to be managed to a communication state identification model to obtain a communication fault result of the park to be managed;
When the communication fault result is a preset normal result, determining that the current communication state is a preset communication state;
the method comprises the steps of inputting communication parameters of the park to be managed to a communication state identification model, and before obtaining a communication fault result of the park to be managed, further comprising:
acquiring a plurality of sample virtual communication data and sample fault types corresponding to the sample virtual communication data;
and performing model training according to the virtual communication data of each sample and the sample fault type corresponding to the virtual communication data of each sample to obtain a communication state identification model.
7. The digital twin park management method of claim 6, wherein the performing model training according to each sample virtual communication data and the sample fault type corresponding to each sample virtual communication data to obtain a communication state identification model includes:
determining a sample parameter extremum according to the virtual communication data of each sample;
normalizing the virtual communication data of each sample according to the sample parameter extremum to obtain sample processing communication data corresponding to the virtual communication data of each sample;
feature screening is carried out on the sample processing communication data to obtain target sample features corresponding to the sample processing communication data;
Performing function construction according to the target characteristics of each sample and the sample fault types corresponding to the virtual communication data of each sample, and determining a target optimization function;
and carrying out model training on the initial network model according to the plurality of target optimization functions to obtain a communication state identification model.
8. A digital twinned park management apparatus, comprising:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring park structure information and park management data of a park to be managed;
the determining module is used for determining the construction sequence of each park entity in the park to be managed according to the park structure information;
the building module is used for building a twin body according to the building sequence of each park entity, the park structure information and the park management data, and determining a virtual park model of the park to be managed;
the simulation module is used for performing operation simulation on each park entity according to the current communication state of the park to be managed and the virtual park model;
and the management module is used for carrying out operation management on the park to be managed according to the operation simulation result.
9. A digital twinned park management apparatus, the apparatus comprising: a memory, a processor and a digital twin campus management program stored on the memory and executable on the processor, the digital twin campus management program configured to implement the steps of the digital twin campus management method of any one of claims 1 to 7.
10. A storage medium having stored thereon a digital twinned park management program which when executed by a processor performs the steps of the digital twinned park management method of any one of claims 1 to 7.
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