CN112381963A - Intelligent power Internet of things inspection method and system based on digital twin technology - Google Patents
Intelligent power Internet of things inspection method and system based on digital twin technology Download PDFInfo
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Abstract
The invention discloses an electric power Internet of things intelligent inspection method based on a digital twin technology, which comprises the steps of mapping terminal sensing data to a control platform in real time to prompt a control worker to switch different virtual objects; establishing a digital twin routing inspection optimization model by using the terminal sensing data and the different virtual objects; transmitting a polling instruction to the virtual object based on a polling task issued by the control personnel, and carrying out simulation polling by combining the digital twin polling optimization model; and judging whether the polling task has operation risk according to simulation polling, and adjusting the scheduling of the polling task according to the virtual object feedback information. The invention is based on the digital twin technology, utilizes the real-time interaction of the data collected by the power equipment, can realize the daily routing inspection work of 'unmanned routing inspection' and the visual remote routing inspection task, and greatly reduces the consumption of manpower and material resources; the virtual object can be used for simulation inspection, potential safety hazards of operation are eliminated, and inspection tasks are optimized.
Description
Technical Field
The invention relates to the technical field of electric power Internet of things inspection, in particular to an electric power Internet of things intelligent inspection method and system based on a digital twin technology.
Background
Since the 21 st century, the rapid construction of the power internet of things brings great convenience to the daily life of the nation. And the normal operation of the power internet of things can not leave the daily inspection and maintenance of power transmission lines and power equipment by power workers. The development of unmanned aerial vehicle technique, the mode of patrolling and examining of electric wire netting is patrolled and examined to become unmanned aerial vehicle, robot, the manual work from single manual work and is patrolled and examined the diversified mode of patrolling and examining of mutually supporting gradually, has greatly overcome traditional manual work and has patrolled and examined the not enough when the operation is patrolled and examined in the mountain area. But how reasonable arrangement patrols and examines the mode for unmanned aerial vehicle, robot, the personnel of patrolling and examining cooperate each other, seek the optimum mode of patrolling and examining and become a big difficult problem, consequently need one set of electric power thing networking platform that can carry out intelligence and patrol and examine the management.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the problem of intelligent routing inspection of the existing power Internet of things.
Therefore, the technical problem solved by the invention is as follows: the data processing is not intelligent in the inspection process, the inspection equipment is controlled blindly, and the existing data is not fully utilized.
In order to solve the technical problems, the invention provides the following technical scheme: mapping terminal sensing data to a control platform in real time to prompt a control person to switch different virtual objects; establishing a digital twin routing inspection optimization model by using the terminal sensing data and the different virtual objects; transmitting a polling instruction to the virtual object based on a polling task issued by the control personnel, and carrying out simulation polling by combining the digital twin polling optimization model; and judging whether the polling task has operation risk according to simulation polling, and adjusting the scheduling of the polling task according to the virtual object feedback information.
The invention relates to a preferable scheme of an intelligent inspection method of an electric power internet of things based on a digital twin technology, wherein the method comprises the following steps: collecting monitoring information and equipment parameter information of the power transmission line; mapping between a physical object and a virtual object is realized by utilizing the digital twin routing inspection optimization model, and real-time data in the physical object is mapped to the virtual object; and sending early warning to the fault occurring in the real-time object data.
The invention relates to a preferable scheme of an intelligent inspection method of an electric power internet of things based on a digital twin technology, wherein the method comprises the following steps: the method for constructing the digital twin inspection and optimization model comprises the steps of constructing a virtual object by using a 3D modeling tool according to the collected power transmission line monitoring information and the collected equipment parameter information, and establishing a mapping relation between a physical object and the virtual object to realize real-time mapping of the power transmission line monitoring information and the equipment parameter information to the virtual object.
The invention relates to a preferable scheme of an intelligent inspection method of an electric power internet of things based on a digital twin technology, wherein the method comprises the following steps: the method for realizing the inspection of the power grid through the management and control of the virtual objects comprises the steps of utilizing real-time data of the power transmission line monitoring information and the equipment parameter information to be mapped into the virtual objects, and realizing the inspection of the power grid through switching different virtual objects.
The invention relates to a preferable scheme of an intelligent inspection method of an electric power internet of things based on a digital twin technology, wherein the method comprises the following steps: the power grid inspection also comprises the steps of preprocessing the collected power transmission line monitoring information and equipment parameter information, extracting a characteristic value of data, removing static data, and uploading dynamic data to a platform control layer; and according to the dynamic number, routing inspection task arrangement optimization algorithm and visual fault routing inspection prediction algorithm are utilized, and routing inspection equipment is reasonably scheduled according to the edge node.
The invention relates to a preferable scheme of an intelligent inspection method of an electric power internet of things based on a digital twin technology, wherein the method comprises the following steps: the inspection equipment comprises an unmanned aerial vehicle, a robot and inspection personnel, wherein the unmanned aerial vehicle is responsible for the inspection task of the power transmission line; the robot is responsible for line inspection, tunnel cable inspection and in-station inspection; and the patrol personnel cooperates with the robot and the unmanned aerial vehicle to complete the patrol task.
The invention solves another technical problem by providing an electric power internet of things intelligent inspection system based on a digital twin technology, and solves the problem that the data processing and inspection processes of an inspection platform are not intelligent enough.
In order to solve the above problems, the present invention proposes the following technical solutions: a power Internet of things intelligent inspection system based on a digital twin technology comprises a terminal sensing layer, a terminal monitoring layer and a control layer, wherein the terminal sensing layer is used for monitoring the normal operation of power equipment and acquiring the monitored information; the edge control layer is connected with the terminal sensing layer and is used for preprocessing the data acquired by the terminal sensing layer and performing edge control on the inspection equipment; and the platform management and control layer is connected with the terminal sensing layer, receives the data acquired by the terminal sensing layer and is used for managing and controlling the whole intelligent inspection system.
The invention relates to a preferable scheme of an electric power Internet of things intelligent inspection system based on a digital twin technology, wherein the preferable scheme comprises the following steps: the terminal sensing layer comprises a power transmission line monitoring unit, a platform management and control layer and a terminal monitoring layer, wherein the power transmission line monitoring unit transmits geographic position information and equipment parameter information when a circuit is erected to the platform management and control layer, is used for constructing a digital twin routing inspection optimization model and comprises line data acquisition equipment and environment data acquisition equipment, the line data acquisition equipment acquires operation data of the power transmission line in real time, and the environment data acquisition equipment is used for monitoring a primary environment state of the power transmission line; the indoor power equipment monitoring unit comprises an equipment environment monitoring sensor, an equipment state monitoring sensor and an equipment operation monitoring sensor, and is used for detecting, but not limited to, all levels of substations, all types of power plants and new energy charging piles; the tunnel cable monitoring unit comprises a cable line operation sensor and a tunnel cable environment monitoring sensor, wherein the cable line operation sensor is mainly used for monitoring cable operation real-time parameters, and the tunnel cable environment monitoring sensor is mainly used for monitoring the surrounding environment condition of the cable line.
The invention relates to a preferable scheme of an electric power Internet of things intelligent inspection system based on a digital twin technology, wherein the preferable scheme comprises the following steps: the edge control layer is connected to the terminal sensing layer and used for performing edge processing on terminal data and edge control on inspection equipment, and comprises an edge control module and an inspection equipment control terminal; the edge management and control module is connected to the terminal equipment and builds a management and control platform, and the edge management and control module comprises a terminal monitoring data edge processing module and an edge management module of the inspection equipment; the terminal monitoring data edge processing module is connected to the terminal sensing layer and used for preprocessing data collected by a terminal on an edge control platform, extracting characteristic quantity of the data, uploading dynamic data to the platform control layer, directly removing static data without updating, receiving a routing inspection instruction issued by the platform control layer, and properly adjusting a data processing strategy; the edge management module of the inspection equipment is connected with the terminal monitoring data edge processing module and used for reasonably scheduling the inspection equipment according to the preprocessed data; the inspection equipment control terminal is connected to the edge control module, receives a scheduling instruction of the edge control module and completes inspection operation; patrol and examine equipment control terminal and include unmanned aerial vehicle control terminal, robot control terminal and patrol and examine personnel's dispatch platform, unmanned aerial vehicle control terminal is used for dispatching each unmanned aerial vehicle of edge node, is responsible for transmission line's the task of patrolling and examining, robot control terminal is used for dispatching each robot of edge node, patrol and examine personnel's dispatch platform and be used for dispatching each staff of edge node, the cooperation the robot is accomplished with unmanned aerial vehicle and is patrolled and examined the task.
The invention relates to a preferable scheme of an electric power Internet of things intelligent inspection system based on a digital twin technology, wherein the preferable scheme comprises the following steps: the platform management and control layer comprises a digital twin management module, a creation management module and a digital twin operation management module, wherein the digital twin management module is used for establishing a digital twin inspection optimization model and managing an intelligent inspection function and comprises the creation management module of the digital twin inspection optimization model and the digital twin operation management module, the creation management module of the digital twin inspection optimization model establishes the digital twin inspection optimization model, the digital twin operation management module is connected with the creation management module of the digital twin inspection optimization model, and the created digital twin inspection optimization model is managed and matched with an inspection instruction to complete the intelligent inspection function based on the digital twin; patrol and examine the management module and be used for managing patrolling and examining function of electric power thing networking system of patrolling and examining, patrol and examine function module including the conventionality with the intelligence based on digital twin, wherein functional module is patrolled and examined in the conventionality and is used for managing traditional electric power thing networking and patrol and examine the function to and patrol and examine the transition of optimizing the model construction in-process in the digital twin, the intelligence based on digital twin is patrolled and examined function module and is used for realizing that the digital place of staff patrols and examines.
The invention has the beneficial effects that: the inspection work is simplified: the invention is based on the digital twin technology, utilizes the real-time interaction of the data collected by the power equipment, can realize the daily routing inspection work of 'unmanned routing inspection' and the visual remote routing inspection task, and greatly reduces the consumption of manpower and material resources; localization of routing inspection functions: according to the invention, by deploying the edge control platform at the edge of the network, on one hand, the routing inspection task can be divided into areas according to the edge control platform, and the routing inspection tasks of all areas are synchronously performed; on the other hand, by deploying the server at the edge end, terminal data can be processed at the edge management and control platform, so that the transmission efficiency and the safety of the data are improved; optimizing and deploying inspection tasks: by means of the digital twin technology, simulation inspection can be performed on the virtual object each time an inspection task instruction is issued, potential safety hazards of operation are eliminated, and inspection tasks are optimized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flow chart of an intelligent inspection method of an electric power internet of things based on a digital twin technology according to a first embodiment of the invention;
fig. 2 is a visual fault routing inspection of the intelligent routing inspection method for the internet of things of electric power based on the digital twin technology according to the first embodiment of the invention;
fig. 3 is a routing inspection task scheduling optimization of the intelligent routing inspection method of the power internet of things based on the digital twin technology according to the first embodiment of the invention;
fig. 4 is a block diagram of the general architecture of an electric power internet of things intelligent inspection system based on a digital twin technology according to a second embodiment of the invention;
fig. 5 is a schematic diagram of a distribution of module structures of an electric power internet of things intelligent inspection system based on a digital twin technology according to a second embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 3, a first embodiment of the present invention provides an intelligent inspection method for an electric power internet of things based on a digital twin technology, including:
s1: and mapping the terminal sensing data to a control platform in real time, and prompting a control worker to switch different virtual objects. In which it is to be noted that,
the power transmission line is mostly in a mountain area and is not suitable for deploying a large amount of monitoring equipment, so that the geographical position information of the power transmission line and the parameter information of the equipment are collected when the power transmission line is erected, and after the power transmission line is erected, on one hand, the operation data of the power transmission line is collected in real time, and on the other hand, an outdoor camera and a weather monitoring sensor are arranged on the power transmission line in a separated mode and used for monitoring the initial environment state of the power transmission line; the monitoring scene for the indoor electric power equipment comprises but is not limited to various stages of unattended substations, various types of power plants and new energy charging piles, the surrounding environment of the electric power equipment is monitored, and the monitoring scene mainly comprises abnormal detection of personnel around the equipment, fire monitoring of the equipment, standard monitoring of an operator during operation of the equipment, and monitoring of mechanical loss, insulation resistance, equipment temperature and real-time parameters of the electric power equipment during operation.
S2: the method comprises the steps of establishing a digital twin routing inspection optimization model by utilizing terminal sensing data and different virtual objects, transmitting routing inspection instructions to the virtual objects based on routing inspection tasks issued by management and control personnel, and carrying out simulation routing inspection by combining the digital twin routing inspection optimization model. In which it is to be noted that,
the method for constructing the digital twin inspection optimization model comprises the steps of utilizing a 3D modeling tool to construct a virtual object according to collected power transmission line monitoring information, equipment parameter information and environmental parameters around equipment, transmitting an inspection instruction to the virtual object when a dispatcher issues an inspection task, carrying out simulation inspection on the virtual object in the digital twin inspection optimization model, and judging whether the inspection task has operation risks.
S3: and judging whether the polling task has operation risk according to the simulation polling, and adjusting the scheduling of the polling task according to the virtual object feedback information. The steps to be explained are as follows:
and judging whether the electric quantity of the inspection equipment is sufficient or not, calculating an inspection optimal route, judging whether the weather of a fault place is suitable for inspection operation or not, and correspondingly adjusting the digital twin inspection optimization model according to feedback information of simulation inspection.
S4: and when the line has a fault, transmitting fault data to the virtual object and mapping the fault data to the control platform to realize visual fault routing inspection. In which it is to be noted that,
performing visual fault inspection comprises collecting transmission line monitoring information and equipment parameter information; mapping between a physical object and a virtual object is realized by utilizing the digital twin routing inspection optimization model, and real-time data in the physical object is mapped to the virtual object; and sending early warning to the fault occurring in the real-time object data.
The method for realizing the inspection of the power grid through the management and control of the virtual objects comprises the steps of utilizing real-time data of power transmission line monitoring information and equipment parameter information to be mapped to the virtual objects, and realizing the inspection of the power grid through switching different virtual objects.
The power grid inspection further comprises the steps of preprocessing the collected power transmission line monitoring information and equipment parameter information, extracting a characteristic value of data, removing static data, and uploading dynamic data to a platform management and control layer; the routing inspection equipment comprises an unmanned aerial vehicle, a robot and routing inspection personnel, wherein the unmanned aerial vehicle is responsible for routing inspection tasks of the power transmission line; the robot is responsible for line inspection, tunnel cable inspection and in-station inspection; the patrol personnel cooperate with the robot and the unmanned aerial vehicle to complete the patrol task.
In order to better verify and explain the technical effects adopted in the method, the traditional inspection management method is selected for comparison test in the embodiment, and the test results are compared by means of scientific demonstration to verify the real effect of the method;
the method is a cloud-side cooperative intelligent inspection method for the Internet of things of electric power, three different numbers of electric power equipment experimental groups are selected to verify the method, namely 10 pieces of electric power equipment, 20 pieces of electric power equipment and 50 pieces of electric power equipment respectively, wherein a traditional inspection management method is used, information of the electric power equipment is collected and stored in modes of photographing, video recording and the like, and inspection personnel remotely check and analyze the collected information to judge whether an abnormal condition occurs; by using the method, a digital twin inspection optimization model is constructed, the virtual object is mapped according to the real-time data, and the inspection process is completed by using the virtual object; after three groups of power equipment experimental groups are patrolled by two methods, the testing of the patrolling integrity of the two methods is realized by MATLB software, the testing result takes the integrity as an index, the testing result is shown in the following table 1,
table 1: experimental results of power line experimental group
From table 1, it can be seen that, in the three sets of experimental data, the integrity of the inspection equipment can be reduced with the increase of the number of the electric power equipment by using the two inspection methods, but when the traditional visual inspection method is used, the inspection integrity is obviously higher and the integrity change is relatively stable by using the method of the present invention compared with the time used by using the method of the present invention.
Example 2
Referring to fig. 4 and 5, a second embodiment of the present invention, which is different from the first embodiment, provides a digital twin technology-based intelligent routing inspection system for an electric power internet of things, including: a terminal aware layer 100, an edge management layer 200, and a platform management layer 300, wherein it should be noted that,
the terminal sensing layer 100 is used for monitoring the normal operation of the power equipment and acquiring monitoring information of the power equipment, and comprises a power transmission line monitoring unit 101, an indoor power equipment monitoring unit 102 and a tunnel cable monitoring unit 103, wherein the power transmission line monitoring unit 101 transmits geographical position information and equipment parameter information when a circuit is erected to a platform control layer 300, and is used for constructing a digital twin routing inspection optimization model which comprises a line data acquisition device 101a and an environmental data acquisition device 101b, wherein the line data acquisition device 101a acquires the operation data of the power transmission line in real time, and the environmental data acquisition device 101b is used for monitoring the primary environmental state of the power transmission line; the indoor power equipment monitoring unit 102 comprises an equipment environment monitoring sensor 102a, an equipment state monitoring sensor 102b and an equipment operation monitoring sensor 102c, and is used for detecting, including but not limited to, substations at all levels, power plants of various types and new energy charging piles; the tunnel cable monitoring unit 103 comprises a cable line operation sensor 103a and a tunnel cable environment monitoring sensor 103b, wherein the cable line operation sensor 103a is mainly used for monitoring cable operation real-time parameters, and the tunnel cable environment monitoring sensor 103b is mainly used for monitoring the surrounding environment condition of the cable line.
The edge control layer 200 is connected with the terminal sensing layer 100 and is used for preprocessing data acquired by the terminal sensing layer 100 and performing edge control on the routing inspection equipment; the edge control layer 200 is connected to the terminal sensing layer 100, and is used for performing edge processing on terminal data and edge control on inspection equipment, and includes an edge control module 201 and an inspection equipment control terminal 202; the edge management and control module 201 is connected to the terminal device to build a management and control platform, and the edge management and control module 201 comprises a terminal monitoring data edge processing module 201a and an edge management module 201b of the inspection device; the terminal monitoring data edge processing module 201a is connected to the terminal sensing layer 100 and used for preprocessing data acquired by a terminal on an edge control platform, extracting characteristic quantities of the data, uploading dynamic data to the platform control layer, directly removing static data without updating, receiving a routing inspection instruction issued by the platform control layer 300, and appropriately adjusting a data processing strategy; the edge management module 201b of the inspection equipment is connected to the terminal monitoring data edge processing module 201a and is used for reasonably scheduling the inspection equipment according to the preprocessed data; the inspection equipment control terminal 202 is connected to the edge control module 201, and receives a scheduling instruction of the edge control module 201 to complete inspection work; patrol and examine equipment control terminal 202 and include unmanned aerial vehicle control terminal 202a, robot control terminal 202b and patrol and examine personnel's dispatch platform 202c, unmanned aerial vehicle control terminal 202a is used for dispatching each unmanned aerial vehicle of edge node, is responsible for transmission line's the task of patrolling and examining, and robot control terminal 202b is used for dispatching each robot of edge node, and patrol and examine personnel's dispatch platform 202c is used for dispatching each staff of edge node, cooperates robot and unmanned aerial vehicle to accomplish and patrols and examines the task.
The platform control layer 300 is connected with the terminal sensing layer 100, receives data collected by the terminal sensing layer 100 and is used for controlling the whole intelligent inspection system, the platform control layer 300 comprises a digital twin management module 301 for establishing a digital twin inspection optimization model and managing an intelligent inspection function, the digital twin management module 301 comprises a creation management module 301a of the digital twin inspection optimization model and a digital twin operation management module 103b, the creation management module 301a of the digital twin inspection optimization model establishes the digital twin inspection optimization model, the digital twin operation management module 103b is connected with the creation management module 301a of the digital twin inspection optimization model, and the created digital twin inspection optimization model is managed and matched with an inspection instruction to complete the intelligent inspection function based on the digital twin; the patrol inspection management module 302 is used for managing patrol inspection functions of the power internet of things patrol inspection system, and comprises a conventional patrol inspection function module 302a and a digital twin-based intelligent patrol inspection function module 302b, wherein the conventional patrol inspection function module 302a is used for managing a traditional power internet of things patrol inspection function and a transition patrol inspection function in the digital twin patrol inspection optimization model construction process, and the digital twin-based intelligent patrol inspection function module 302b is used for realizing digital duty patrol inspection.
It should be understood that the system provided in this embodiment, which relates to the connection relationship between the terminal awareness layer 100, the edge management layer 200, and the platform management layer 300, may be, for example, a computer-readable program, and is implemented by improving program data interfaces of the modules.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An electric power Internet of things intelligent inspection method based on a digital twin technology is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
mapping the terminal sensing data to a control platform in real time to prompt a control person to switch different virtual objects;
establishing a digital twin routing inspection optimization model by using the terminal sensing data and the different virtual objects;
transmitting a polling instruction to the virtual object based on a polling task issued by the control personnel, and carrying out simulation polling by combining the digital twin polling optimization model;
and judging whether the polling task has operation risk according to simulation polling, and adjusting the scheduling of the polling task according to the virtual object feedback information.
2. An electric power Internet of things intelligent inspection method based on a digital twin technology is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting monitoring information and equipment parameter information of the power transmission line;
mapping between a physical object and a virtual object is realized by utilizing the digital twin routing inspection optimization model, and real-time data in the physical object is mapped to the virtual object;
and sending early warning to the fault occurring in the real-time object data.
3. The intelligent inspection method for the Internet of things of electric power based on the digital twin technology as claimed in claim 2, wherein: the method for constructing the digital twin routing inspection optimization model comprises the following steps,
and according to the collected transmission line monitoring information and the collected equipment parameter information, a virtual object is constructed by using a 3D modeling tool, and a mapping relation between a physical object and the virtual object is established, so that the transmission line monitoring information and the equipment parameter information are mapped into the virtual object in real time.
4. The intelligent inspection method for the Internet of things of electric power based on the digital twin technology as claimed in claim 3, wherein: the implementation of the patrol of the power grid through the management and control of the virtual objects comprises,
real-time data of the power transmission line monitoring information and the equipment parameter information are mapped to virtual objects, and inspection of the power grid can be achieved by switching different virtual objects.
5. The intelligent inspection method for the Internet of things of electric power based on the digital twin technology as claimed in claim 4, wherein: the inspection of the power grid also comprises that,
preprocessing the collected power transmission line monitoring information and equipment parameter information, extracting a characteristic value of data, removing static data, and uploading dynamic data to a platform management and control layer; and according to the dynamic number, routing inspection task arrangement optimization algorithm and visual fault routing inspection prediction algorithm are utilized, and routing inspection equipment is reasonably scheduled according to the edge node.
6. The intelligent inspection method for the Internet of things of electric power based on the digital twin technology as claimed in claim 5, wherein: the inspection equipment comprises a plurality of inspection devices,
the system comprises an unmanned aerial vehicle, a robot and inspection personnel, wherein the unmanned aerial vehicle is responsible for the inspection task of the power transmission line; the robot is responsible for line inspection, tunnel cable inspection and in-station inspection; and the patrol personnel cooperates with the robot and the unmanned aerial vehicle to complete the patrol task.
7. The utility model provides an electric power thing networking intelligence system of patrolling and examining based on digital twin technique which characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the terminal sensing layer (100) is used for monitoring the normal operation of the power equipment and acquiring the monitoring information;
the edge control layer (200) is connected with the terminal sensing layer (100) and is used for preprocessing data acquired by the terminal sensing layer (100) and performing edge control on routing inspection equipment;
the platform management and control layer (300) is connected with the terminal perception layer (100), receives data collected by the terminal perception layer (100), and is used for managing and controlling the whole intelligent inspection system.
8. The intelligent inspection system for the internet of things of electric power based on the digital twin technology as claimed in claim 7, wherein: the terminal sensing layer (100) comprises,
the method comprises the steps that a power transmission line monitoring unit (101) transmits geographical position information and equipment parameter information during circuit erection to a platform control layer (300) for constructing a digital twin inspection optimization model, and the model comprises line data acquisition equipment (101a) and environment data acquisition equipment (101b), wherein the line data acquisition equipment (101a) acquires operation data of a power transmission line in real time, and the environment data acquisition equipment (101b) is used for monitoring a preliminary environment state of the power transmission line;
the indoor power equipment monitoring unit (102) comprises an equipment environment monitoring sensor (102a), an equipment state monitoring sensor (102b) and an equipment operation monitoring sensor (102c) which are used for detecting a plurality of levels of substations, various types of power plants and new energy charging piles;
the tunnel cable monitoring unit (103) comprises a cable line operation sensor (103a) and a tunnel cable environment monitoring sensor (103b), wherein the cable line operation sensor (103a) is mainly used for monitoring cable operation real-time parameters, and the tunnel cable environment monitoring sensor (103b) is mainly used for monitoring the surrounding environment condition of the cable line.
9. The intelligent inspection system for the internet of things of electric power based on the digital twin technology as claimed in claim 8, wherein: the edge management layer (200) comprises,
the edge control layer (200) is connected to the terminal sensing layer (100) and used for performing edge processing on terminal data and edge control on inspection equipment, and comprises an edge control module (201) and an inspection equipment control terminal (202);
the edge management and control module (201) is connected to the terminal equipment to build a management and control platform, and the edge management and control module (201) comprises a terminal monitoring data edge processing module (201a) and an edge management module (201b) of inspection equipment; the terminal monitoring data edge processing module (201a) is connected to the terminal sensing layer (100) and used for preprocessing data collected by a terminal on an edge control platform, extracting characteristic quantity of the data, uploading dynamic data to the platform control layer, directly removing static data without updating, receiving a routing inspection instruction issued by the platform control layer (300) and properly adjusting a data processing strategy; the edge management module (201b) of the inspection equipment is connected to the terminal monitoring data edge processing module (201a) and used for reasonably scheduling the inspection equipment according to the preprocessed data;
the inspection equipment control terminal (202) is connected to the edge control module (201), receives a scheduling instruction of the edge control module (201), and finishes inspection operation; patrol and examine equipment control terminal (202) and include unmanned aerial vehicle control terminal (202a), robot control terminal (202b) and patrol and examine personnel's dispatch platform (202c), unmanned aerial vehicle control terminal (202a) are used for dispatching the unmanned aerial vehicle separately of edge node, are responsible for the task of patrolling and examining of transmission line, robot control terminal (202b) are used for dispatching the robot separately of edge node, it is used for dispatching the staff separately of edge node to patrol and examine personnel's dispatch platform (202c), the cooperation the robot is accomplished with unmanned aerial vehicle and is patrolled and examined the task.
10. The intelligent inspection system for the internet of things of electric power based on the digital twin technology as claimed in claim 9, wherein: the platform management and control layer (300) comprises,
the digital twin management module (301) is used for establishing a digital twin routing inspection optimization model and managing an intelligent routing inspection function, and comprises a creation management module (301a) of the digital twin routing inspection optimization model and a digital twin operation management module (103b), wherein the creation management module (301a) of the digital twin routing inspection optimization model establishes the digital twin routing inspection optimization model, the digital twin operation management module (103b) is connected with the creation management module (301a) of the digital twin routing inspection optimization model, manages the created digital twin routing inspection optimization model and cooperates with a routing inspection instruction to complete the intelligent routing inspection function based on the digital twin;
patrol and examine the management module (302) and be used for managing the function of patrolling and examining of electric power thing networking system of patrolling and examining, patrol and examine functional module (302b) including conventional patrol and examine functional module (302a) and intelligence based on digital twin, wherein functional module (302a) is used for managing traditional electric power thing networking and patrols and examines the function to and patrol and examine the function at the transition of digital twin patrolling and examining optimization model construction in-process, intelligent patrol and examine functional module (302b) based on digital twin is used for realizing that digital place patrols and examines.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113050649A (en) * | 2021-03-24 | 2021-06-29 | 西安科技大学 | Remote control system and method for inspection robot driven by digital twin |
| CN113146632A (en) * | 2021-04-20 | 2021-07-23 | 北京洛必德科技有限公司 | Household robot control method and system based on digital twin technology |
| CN113362485A (en) * | 2021-06-03 | 2021-09-07 | 上海宝信数据中心有限公司 | Automatic point inspection system and method based on digital twin platform |
| CN113408154A (en) * | 2021-08-02 | 2021-09-17 | 广东电网有限责任公司中山供电局 | Transformer substation relay protection equipment state monitoring method and system based on digital twinning |
| CN113596095A (en) * | 2021-06-30 | 2021-11-02 | 新奥数能科技有限公司 | Rapid Internet of things method and device, computer equipment and computer readable storage medium |
| CN113593069A (en) * | 2021-07-05 | 2021-11-02 | 北京瑞博众成科技有限公司 | Intelligent inspection system for mathematics twin |
| CN113823013A (en) * | 2021-09-17 | 2021-12-21 | 国核电力规划设计研究院有限公司 | Uninterrupted inspection system for power equipment based on digital twin technology |
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| CN118171470A (en) * | 2024-03-18 | 2024-06-11 | 广西电网有限责任公司 | Multi-source data fusion intelligent inspection system and method for power dispatching |
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477169A (en) * | 2009-01-16 | 2009-07-08 | 华北电力大学 | Electric power circuit detection method by polling flying robot |
| US20170091791A1 (en) * | 2015-09-25 | 2017-03-30 | General Electric Company | Digital power plant system and method |
| CN109217163A (en) * | 2018-09-11 | 2019-01-15 | 贵州电网有限责任公司 | Urban electric power cable comprehensive monitoring and intelligent operational system based on geographical location |
| CN110187686A (en) * | 2019-06-03 | 2019-08-30 | 济南浪潮高新科技投资发展有限公司 | A kind of Internet of Things industrial processes monitoring method based on the twin technology of number |
| US20190302711A1 (en) * | 2018-03-30 | 2019-10-03 | General Electric Company | System and method for power generation control |
| CN111176245A (en) * | 2019-10-29 | 2020-05-19 | 中国电子科技集团公司第三十八研究所 | Multi-terminal industrial equipment inspection monitoring system and method based on digital twin technology |
| US20200225655A1 (en) * | 2016-05-09 | 2020-07-16 | Strong Force Iot Portfolio 2016, Llc | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial internet of things data collection environment |
| CN111682640A (en) * | 2020-04-20 | 2020-09-18 | 国网浙江桐乡市供电有限公司 | Full-sensing monitoring and operation and maintenance system for power distribution room |
| CN111682639A (en) * | 2020-04-20 | 2020-09-18 | 国网浙江桐乡市供电有限公司 | Power distribution room full-perception monitoring operation and maintenance system and method based on wireless multi-hop network |
| CN111830845A (en) * | 2020-04-30 | 2020-10-27 | 航天图景（北京）科技有限公司 | Automatic inspection simulation system and method for fan blade of unmanned aerial vehicle |
| CN111857065A (en) * | 2020-06-08 | 2020-10-30 | 北京邮电大学 | Intelligent production system and method based on edge calculation and digital twinning |
| CN111897332A (en) * | 2020-07-30 | 2020-11-06 | 国网智能科技股份有限公司 | Semantic intelligent substation robot humanoid inspection operation method and system |
-
2020
- 2020-11-12 CN CN202011261259.3A patent/CN112381963B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477169A (en) * | 2009-01-16 | 2009-07-08 | 华北电力大学 | Electric power circuit detection method by polling flying robot |
| US20170091791A1 (en) * | 2015-09-25 | 2017-03-30 | General Electric Company | Digital power plant system and method |
| US20200225655A1 (en) * | 2016-05-09 | 2020-07-16 | Strong Force Iot Portfolio 2016, Llc | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial internet of things data collection environment |
| US20190302711A1 (en) * | 2018-03-30 | 2019-10-03 | General Electric Company | System and method for power generation control |
| CN109217163A (en) * | 2018-09-11 | 2019-01-15 | 贵州电网有限责任公司 | Urban electric power cable comprehensive monitoring and intelligent operational system based on geographical location |
| CN110187686A (en) * | 2019-06-03 | 2019-08-30 | 济南浪潮高新科技投资发展有限公司 | A kind of Internet of Things industrial processes monitoring method based on the twin technology of number |
| CN111176245A (en) * | 2019-10-29 | 2020-05-19 | 中国电子科技集团公司第三十八研究所 | Multi-terminal industrial equipment inspection monitoring system and method based on digital twin technology |
| CN111682640A (en) * | 2020-04-20 | 2020-09-18 | 国网浙江桐乡市供电有限公司 | Full-sensing monitoring and operation and maintenance system for power distribution room |
| CN111682639A (en) * | 2020-04-20 | 2020-09-18 | 国网浙江桐乡市供电有限公司 | Power distribution room full-perception monitoring operation and maintenance system and method based on wireless multi-hop network |
| CN111830845A (en) * | 2020-04-30 | 2020-10-27 | 航天图景（北京）科技有限公司 | Automatic inspection simulation system and method for fan blade of unmanned aerial vehicle |
| CN111857065A (en) * | 2020-06-08 | 2020-10-30 | 北京邮电大学 | Intelligent production system and method based on edge calculation and digital twinning |
| CN111897332A (en) * | 2020-07-30 | 2020-11-06 | 国网智能科技股份有限公司 | Semantic intelligent substation robot humanoid inspection operation method and system |
Non-Patent Citations (3)
| Title |
|---|
| 刘璋伟等: "基于物联网应用的变压器智能运检模式", 《农村电气化》 * |
| 潘博等: "数字孪生变电站在电网企业数智化转型的探索与应用", 《电力与能源》 * |
| 贺心等: "数字孪生在电力系统应用中的机遇和挑战", 《电网技术》 * |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113050649B (en) * | 2021-03-24 | 2023-11-17 | 西安科技大学 | Digital twin-driven inspection robot remote control system and method |
| CN113050649A (en) * | 2021-03-24 | 2021-06-29 | 西安科技大学 | Remote control system and method for inspection robot driven by digital twin |
| CN113146632A (en) * | 2021-04-20 | 2021-07-23 | 北京洛必德科技有限公司 | Household robot control method and system based on digital twin technology |
| CN113362485A (en) * | 2021-06-03 | 2021-09-07 | 上海宝信数据中心有限公司 | Automatic point inspection system and method based on digital twin platform |
| CN113596095A (en) * | 2021-06-30 | 2021-11-02 | 新奥数能科技有限公司 | Rapid Internet of things method and device, computer equipment and computer readable storage medium |
| CN113596095B (en) * | 2021-06-30 | 2024-04-19 | 新奥数能科技有限公司 | Fast Internet of things method, fast Internet of things device, computer equipment and computer readable storage medium |
| CN113593069A (en) * | 2021-07-05 | 2021-11-02 | 北京瑞博众成科技有限公司 | Intelligent inspection system for mathematics twin |
| CN113408154A (en) * | 2021-08-02 | 2021-09-17 | 广东电网有限责任公司中山供电局 | Transformer substation relay protection equipment state monitoring method and system based on digital twinning |
| CN113823013A (en) * | 2021-09-17 | 2021-12-21 | 国核电力规划设计研究院有限公司 | Uninterrupted inspection system for power equipment based on digital twin technology |
| CN114067234B (en) * | 2021-10-12 | 2024-08-13 | 国网福建省电力有限公司 | Power grid digital twin body data embedding method and system |
| CN114067234A (en) * | 2021-10-12 | 2022-02-18 | 国网福建省电力有限公司 | Power grid digital twin body data embedding method and system |
| CN114545969A (en) * | 2022-02-23 | 2022-05-27 | 平顶山天安煤业股份有限公司 | Intelligent power grid inspection method and system based on digital twins |
| CN114237917A (en) * | 2022-02-25 | 2022-03-25 | 南京信息工程大学 | Unmanned aerial vehicle auxiliary edge calculation method for power grid inspection |
| CN114237917B (en) * | 2022-02-25 | 2022-06-10 | 南京信息工程大学 | Unmanned aerial vehicle auxiliary edge calculation method for power grid inspection |
| CN115238574A (en) * | 2022-07-05 | 2022-10-25 | 国网冀北电力有限公司经济技术研究院 | Digital twin-based power transmission line data management method |
| CN115167582A (en) * | 2022-07-11 | 2022-10-11 | 浪潮工业互联网股份有限公司 | Rose drying processing monitoring method and device based on digital twinning |
| CN115482602A (en) * | 2022-09-28 | 2022-12-16 | 广东昆仑信息科技有限公司 | Heating furnace remote inspection method |
| CN115561583A (en) * | 2022-12-07 | 2023-01-03 | 国网冀北电力有限公司 | Power equipment inspection method, device and system based on digital twin technology |
| CN116052300A (en) * | 2022-12-22 | 2023-05-02 | 清华大学 | Digital twinning-based power inspection system and method |
| CN117765451A (en) * | 2024-02-22 | 2024-03-26 | 江苏征途技术股份有限公司 | Joint control analysis method and system based on AI intelligent auxiliary control system equipment |
| CN117765451B (en) * | 2024-02-22 | 2024-04-30 | 江苏征途技术股份有限公司 | Joint control analysis method and system based on AI intelligent auxiliary control system equipment |
| CN118171470A (en) * | 2024-03-18 | 2024-06-11 | 广西电网有限责任公司 | Multi-source data fusion intelligent inspection system and method for power dispatching |
| CN118283548A (en) * | 2024-05-30 | 2024-07-02 | 中建照明有限公司 | Intelligent security system and method for smart city based on 5G |
| CN118438467A (en) * | 2024-07-08 | 2024-08-06 | 成都信息工程大学 | Application method of indoor inspection system of robot based on dynamic digital twinning |
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