CN115705338A - Energy data management method, device, medium, and apparatus - Google Patents
Energy data management method, device, medium, and apparatus Download PDFInfo
- Publication number
- CN115705338A CN115705338A CN202110919011.XA CN202110919011A CN115705338A CN 115705338 A CN115705338 A CN 115705338A CN 202110919011 A CN202110919011 A CN 202110919011A CN 115705338 A CN115705338 A CN 115705338A
- Authority
- CN
- China
- Prior art keywords
- energy
- data
- model
- information
- monitoring data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an energy data management method, an energy data management device, an energy data management medium and energy data management equipment, and relates to the field of energy data, wherein the method comprises the following steps: acquiring laying data of an energy pipeline network; constructing a digital space model based on the urban information model data, the building information model data, the geographic position information and the laying data; acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network; determining energy operation characteristic information according to the energy monitoring data; and obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model. The method and the device can know the running condition of the energy pipeline and the real-time use condition of the energy in time, and improve the timeliness and the accuracy of energy monitoring; the abnormal condition of the energy or the pipeline can be determined in time, and the fault risk is reduced; and can help to plan the laying of pipelines and the conveying of energy sources, and improve the utilization rate of the energy sources.
Description
Technical Field
The present application relates to the field of energy management, and in particular, to a method, an apparatus, a medium, and a device for energy data management.
Background
At present, cities develop rapidly, and urban gas pipelines, water supply and drainage pipelines, petroleum pipelines and the like are laid complicatedly and intensively. Since the pipeline is basically laid in the ground or in a building, there are great difficulties in monitoring and detecting. Taking a gas pipeline as an example, the existing gas safety inspection mode and gas data processing mode are basically executed manually, a large amount of manpower and physics are consumed, but the gas use condition cannot be monitored in real time, the data value of gas operation data is not deeply mined, and in addition, visual expression is not provided for the gas pipeline laying condition and the gas use condition.
Disclosure of Invention
In order to solve the above problems, the present application provides an energy data management method, apparatus, medium, and device. The technical scheme is as follows:
in a first aspect, the present application provides a method for energy data management, the method comprising:
acquiring laying data of an energy pipeline network;
constructing to obtain a digital space model based on urban information model data, building information model data, geographical position information and laying data of the energy pipeline network;
acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network;
determining energy operation characteristic information according to the energy monitoring data;
and obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model.
In a second aspect, the present application provides an energy data management apparatus, the apparatus comprising:
the first data acquisition module is used for acquiring laying data of the energy pipeline network;
the first model building module is used for building a digital space model based on urban information model data, building information model data, geographical position information and laying data of the energy pipeline network;
the second data acquisition module is used for acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network;
the characteristic determining module is used for determining energy operation characteristic information according to the energy monitoring data;
a second model construction module for obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model
In a third aspect, the present application provides a computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the energy data management method according to the first aspect.
In a fourth aspect, the present application provides a computer device comprising a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executed to implement the energy data management method according to the first aspect.
In a fifth aspect, the present application provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform a method of energy data management as described in the first aspect.
The energy data management method, the energy data management device, the energy data management medium and the energy data management equipment have the following technical effects:
the utility model provides a scheme is gathered relevant data through the sensor of installation in the different position departments of pipeline, and upload to the high in the clouds server through the thing allies oneself with equipment, the high in the clouds server combines the city information model, the building information model, geographical position information and energy pipeline network's the data of laying, energy space data model is found out, on the one hand can present the route of laying of energy pipeline network in the city visually through three-dimensional graphics engine, user's installation condition and real-time energy in service behavior, on the other hand is with the help of big data analysis technique, can predict future energy in service behavior, the unusual condition of early warning pipeline, and further excavate the energy law of use. The scheme provided by the application can know the running condition of the energy pipeline and the real-time use condition of the energy in time, and improves the timeliness and the accuracy of energy monitoring; meanwhile, the abnormal condition of the energy or the pipeline can be determined in time, and the fault risk is reduced; in addition, analysis based on big data can help planning the laying of pipeline, the transport of energy, promotes energy utilization.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments or the prior art of the present application, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of an implementation environment of a method for managing energy data according to an embodiment of the present application;
fig. 2 is a schematic flowchart of an energy data management method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of acquiring energy monitoring data according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of gas data reporting provided in the embodiment of the present application;
fig. 5 is a schematic flow chart illustrating a process of determining energy operation characteristic information according to an embodiment of the present application;
fig. 6 is a schematic flow chart of another method for determining energy operation characteristic information according to an embodiment of the present disclosure;
fig. 7 is a schematic flowchart of an alarm for an abnormal situation according to an embodiment of the present application;
fig. 8 is another schematic flow chart of an alarm for an abnormal situation according to an embodiment of the present application;
fig. 9 is a schematic flowchart of controlling for alarm information according to an embodiment of the present application;
FIG. 10 is a schematic flow chart of a gas data management method in another specific application scenario provided in an embodiment of the present application;
fig. 11 is a schematic diagram of an energy data management device according to an embodiment of the present application;
fig. 12 is a hardware structural diagram of an apparatus for implementing an energy data management method according to an embodiment of the present application.
Detailed Description
The scheme provided by the embodiment of the application can be deployed at the cloud end, and further relates to cloud technology and the like.
Cloud technology (Cloud technology): the cloud computing management system is a management technology for unifying series resources such as hardware, software and network in a wide area network or a local area network to realize calculation, storage, processing and sharing of data, can also be understood as a general term of a network technology, an information technology, an integration technology, a management platform technology, an application technology and the like applied based on a cloud computing business model, can form a resource pool, can be used as required, and is flexible and convenient. Background services of a technical network system require a large amount of computing and storage resources, such as video websites, picture websites and more portal websites, with the high development and application of the internet industry, each article may have an own identification mark and needs to be transmitted to a background system for logic processing, data at different levels can be processed separately, and data in various industries all need strong system background support, so that cloud computing is required to be used as support in the cloud technology. Cloud computing is a computing model that distributes computing tasks over a resource pool of large numbers of computers, enabling various application systems to obtain computing power, storage space, and information services as needed. The network that provides the resources is referred to as the "cloud". Resources in the "cloud" appear to the user as being infinitely expandable and available at any time, available on demand, expandable at any time, and paid for on-demand. As a basic capability provider of cloud computing, a cloud computing resource pool platform, which is called an Infrastructure as a Service (IaaS) for short, is established, and multiple types of virtual resources are deployed in a resource pool and are used by external clients selectively. The cloud computing resource pool mainly comprises: a computing device (which may be a virtualized machine, including an operating system), a storage device, and a network device.
In order to improve efficiency of energy management and perform visual display, the embodiment of the application provides an energy data management method, an energy data management device, an energy data management medium and energy data management equipment. The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application. Examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to facilitate understanding of the technical solutions and the technical effects thereof described in the embodiments of the present application, the embodiments of the present application explain related terms:
CIM: city information model; the city information organic complex of a three-dimensional digital space is constructed by integrating the multi-dimensional multi-scale information model data and the city perception data of cities on the ground, underground, indoor and outdoor and under the historical current situation in the future.
BIM: building information modeling, building information model; is a new tool for architecture, engineering and civil engineering. The term building information model or building information model was created by Autodesk. It is used to describe the computer aided design mainly based on three-dimensional figure, object guide and architecture.
GIS: the Geographic Information System or Geo-Information System is also called a "Geographic Information System". It is a specific and very important spatial information system. The system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface (including the atmosphere) space under the support of a computer hardware and software system.
Digital space: an intelligent and digital building three-dimensional space model.
A graphic engine: currently, the graphics engines are excellent, such as OGRE, openGVS, vtree, and OSG. And a three-dimensional graphic development environment which encapsulates hardware operation and graphic algorithm, is simple and easy to use and has rich functions can be called as a three-dimensional graphic engine.
Referring to fig. 1, which is a schematic diagram of an implementation environment of an energy data management method according to an embodiment of the present disclosure, as shown in fig. 1, the implementation environment may at least include a client 01, a server 02, and an energy pipeline 03.
Specifically, the client 01 may include a smart phone, a desktop computer, a tablet computer, a notebook computer, a digital assistant, a smart wearable device, a monitoring device, a voice interaction device, and other types of devices, and may also include software running in the devices, such as web pages provided to the user by some service providers, and applications provided to the user by the service providers. Specifically, the client 01 may be configured to receive the abnormal warning information sent by the server 02, and may send a management instruction to the server 02 to control the operating state of the hardware facility in the energy pipeline.
Specifically, the server 02 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, a CDN (Content delivery network), a big data and artificial intelligence platform, and the like. The server 02 may comprise a network communication unit, a processor and a memory, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. Specifically, the server 02 may be configured to receive energy monitoring data that is acquired by a sensor in the energy pipeline 03 and uploaded through an internet of things device, construct an energy space data model by combining CIM, BIM, GIS, and pipeline laying data, and render the energy space data model by using a three-dimensional graphics engine so that a user can view the energy space data model at the client 01. The server 02 may further receive a management instruction sent by the user through the client 01, and send a corresponding control instruction to a corresponding hardware facility in the energy pipeline 03 to control an operating state of the hardware facility.
The embodiment of the present application can also be implemented by combining a Cloud technology, which refers to a hosting technology for unifying series resources such as hardware, software, and a network in a wide area network or a local area network to implement data calculation, storage, processing, and sharing, and can also be understood as a generic term of a network technology, an information technology, an integration technology, a management platform technology, an application technology, and the like applied based on a Cloud computing business model. Cloud technology requires cloud computing as a support. Cloud computing is a computing model that distributes computing tasks over a resource pool of large numbers of computers, enabling various application systems to obtain computing power, storage space, and information services as needed. The network that provides the resources is referred to as the "cloud". Specifically, the server 02 and the database are located in the cloud, and the server 02 may be an entity machine or a virtualization machine.
The following describes an energy data management method provided by the present application. Fig. 2 is a flow chart of a method of energy data management provided in an embodiment of the present application, which provides the method operation steps as described in the embodiment or the flow chart, but may include more or less operation steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of sequences, and does not represent a unique order of performance. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures. Referring to fig. 2, an energy data management method provided in an embodiment of the present application may include the following steps:
s100: and acquiring the laying data of the energy pipeline network.
In the embodiments of the present application, the energy pipeline network includes, but is not limited to, a gas pipeline network, a petroleum pipeline network, a tap water pipeline network, and the like, and the area involved in the energy pipeline network may be at a cell level, a city level, between cities, and the like, and the embodiments of the present application are not limited thereto.
In an embodiment of the application, the laying data of the energy pipeline network is uploaded to the cloud server through an original energy pipeline network system.
In one possible implementation, the data is filtered and cleaned according to the uploaded paving data of the energy pipeline network, and structured paving data is obtained. Further, the structured paving data is encrypted based on a preset encryption algorithm, and the encrypted structured paving data is stored in a database.
S200: and constructing to obtain a digital space model based on the urban information model data, the building information model data, the geographical position information and the laying data of the energy pipeline network.
It will be appreciated that the digital space model corresponds to a three-dimensional object model of the energy pipeline network in urban space. An object model is a digital representation of an entity in a physical space (e.g., a sensor, a pipe, an in-vehicle device, a building, a factory, etc.) in the cloud.
S300: and acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network.
In the embodiment of the application, various sensors are installed in the energy pipeline network. Taking a gas pipeline network as an example, the system can be provided with a combustible gas sensor, a pressure sensor, a flow sensor and the like, and is used for acquiring transmission state data of corresponding energy sources, state data of energy pipelines and the like.
In this application embodiment, the data that sensor gathered in the energy pipeline network is uploaded to the high in the clouds server through the thing of thing networking equipment to carry out relevant cloud and calculate.
In an embodiment of the present application, specifically, as shown in fig. 3, the step S300 may include the following steps:
s301: and acquiring the energy monitoring data uploaded by the sensor through the Internet of things equipment.
S303: and performing authority verification and encryption on the energy monitoring data to obtain first monitoring data.
S305: and performing data filtering and cleaning on the first monitoring data to obtain structured second monitoring data.
Further, the structured second monitoring data is stored to a time sequence database.
For example, taking gas energy as an example, as shown in fig. 4, sensor data is reported to a cloud server, and laying data of a community gas pipe network system is also uploaded to the cloud, so that a national cryptographic algorithm (a set of data encryption processing series algorithm independently developed and innovated in china, and algorithm functions such as symmetry, asymmetry and summary are realized, which is suitable for being applied to relevant fields such as embedded internet of things and the like to complete functions such as identity authentication, data encryption and decryption and the like) is used for encrypting original data, and the encrypted original data is stored in a time sequence database for data retention.
S400: and determining energy operation characteristic information according to the energy monitoring data.
In an embodiment of the present application, on one hand, the energy monitoring data may be real-time monitoring data, and a real-time energy pipeline state and an energy usage condition are determined according to the real-time monitoring data; on the other hand, the method can also comprise real-time data and historical data, and the characteristics and the law of energy use are determined through energy monitoring data in a period of time. In addition, the energy operation characteristic information can also be an estimation of the energy operation state in the future period, such as an estimation of the abnormal condition of the pipeline, an estimation of the future energy consumption and the like.
In one embodiment of the present application, specifically, as shown in fig. 5, the step S400 may include the steps of:
s401: and determining energy use characteristic information of a time dimension or an area dimension according to the energy monitoring data.
S403: or determining abnormal energy operation information or abnormal early warning information according to the energy monitoring data.
The energy operation characteristic information includes, but is not limited to, the energy usage characteristic information, the energy operation abnormality information, or the abnormality warning information, and the type of the required energy operation characteristic information may be specifically determined according to an energy attribute, a service demand, and the like.
For example, as shown in fig. 6, during daily operation of the community gas pipelines, the flow sensors and the pressure sensors can collect gas flow data and gas pressure data at regular time and report the data to the cloud server, and analyze the gas consumption condition and the gas pressure stability condition of each community, each gas pipeline and each household on day/week/month/quarter/year through big data and cloud computing capacity, and when finding which pipeline is insufficient in pressure and insufficient in gas consumption, each pipeline gas flow can be scheduled in time according to the gas operation characteristic information determined by computing. For example, when the gas shortage condition lasts longer, the gas station reserve gas amount as early as possible nearby can be prompted to guide energy distribution. Then, the pushed real-time data and the pulled historical data result can be displayed in an aggregation mode to perform visualization operation.
S500: and obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model.
The energy pipeline network in the real world is mapped into a Digital space model, and then the Digital space model of the energy pipeline network and energy monitoring data (which may include real-time data and historical data) construct a corresponding energy space data model, which can be understood to be feedback of an entity physical system to a Digital space, namely a Digital twinning (Digital Twins) process, to a certain extent. The digital twin is a process of digitally defining and modeling the composition, characteristics, functions and performance of physical entities using information technology. The energy space data model can be regarded as a digital twin body which is completely equivalent to an energy pipeline network in operation in the real world, and the energy pipeline network and energy in the city of an entity can be subjected to simulation analysis and optimization based on the energy space data model.
In an embodiment of the present application, the step S500 may include the steps of:
and rendering and displaying the energy space data model according to the energy monitoring data and the model data corresponding to the digital space model based on a three-dimensional graphic engine. And the energy pipeline network and the energy operation characteristic information in three dimensions are displayed in the energy space data model.
In the gas space data model, for example, besides the three-dimensional gas piping diagram, various operating parameters of the gas pipeline and the real-time operating condition of the gas can be displayed, and information such as gas use habits, peak-valley values and the like of residents and communities obtained through big data analysis can be displayed.
Further, model data corresponding to the energy space data model are stored in the time sequence database.
In an embodiment of the present application, as shown in fig. 7, specifically, the method may further include the following steps:
s601: and when the energy operation characteristic information indicates that the energy operation is abnormal, determining target abnormal alarm information corresponding to the target abnormal position.
S602: and sending the target abnormal alarm information to a terminal.
Illustratively, community property management personnel and urban gas company personnel can manage devices such as valves and sensors of a community gas pipe network on a unified management platform, and the purpose of managing and controlling the community gas pipeline network in real time can be achieved through a cloud server and the Internet of things.
As shown in fig. 8, when pipeline gas leaks, the combustible gas sensor installed on the gas pipeline can detect the leakage condition, the sensor can report alarm data to the cloud server in real time, the cloud server obtains gas operation characteristic information through data processing calculation, and when the gas operation characteristic information represents that the gas leaks, corresponding alarm information can be sent to the terminals of community managers, residents or gas companies, so that the alarm and the like can be informed, the faults can be removed in time, and unnecessary loss of lives and properties can be avoided.
S603: and receiving a target management instruction sent by the terminal in response to the target abnormal warning information.
S604: and responding to the target management instruction, and determining a target control facility corresponding to the target abnormal position in the energy pipeline network.
S605: sending a control command corresponding to the target management command to the target control facility to cause the target control facility to perform the braking operation specified in the target management command.
As shown in fig. 9, after the gas manager receives the gas alarm information, the gas manager may send an instruction to close a specific valve through the mobile terminal, the instruction is converted, encrypted and sent to the gas control valve at the corresponding position point through the cloud server, and the gas valve automatically closes the valve after receiving the relevant instruction, so as to prevent the gas from continuously leaking. Further, after the leakage point fault problem is repaired, the gas manager can also send an instruction through the terminal to start the closed valve.
In a specific application scenario, as shown in fig. 10, a sensor of a gas pipeline uploads acquired data to a cloud server, corresponding operations such as device identification, permission verification and the like are required for the data uploaded by the internet of things device, and after the data are identified and verified, the acquired data are filtered and cleaned. Meanwhile, the laying data of the gas pipeline network uploaded by the community gas pipeline network system is filtered and cleaned to obtain structured data. And combining data such as CIM, BIM or GIS and the like to generate a gas object model, namely a digital space model of the gas pipeline network. And then, generating a gas space dynamic data model according to the structured collected data and the digital space model, on one hand, visually presenting the laying line of the urban gas pipeline network at a terminal through a three-dimensional graphic engine, and also displaying the use conditions such as the flow direction of gas at the terminal, on the other hand, analyzing the gas data with different dimensions by virtue of big data, summarizing the gas use rule, or predicting the future gas demand, or early warning the abnormal condition of the gas pipeline, and the like, and displaying the characteristic information in the gas space dynamic data model. The user can issue an operation instruction based on the gas space dynamic data model, and the model analyzes the instruction and then transmits the instruction to corresponding hardware facilities such as valves in the gas pipeline network through the internet of things equipment so as to execute the control operation specified in the instruction. In addition, for abnormal conditions, alarm information can be generated and sent to the manager terminal so as to remove faults in time.
An embodiment of the present application further provides an energy data management apparatus 1100, as shown in fig. 11, the apparatus 1100 may include:
a first data obtaining module 1110, configured to obtain laying data of an energy pipeline network;
a first model building module 1120, configured to build a digital spatial model based on city information model data, building information model data, geographic location information, and paving data of the energy pipeline network;
a second data acquiring module 1130, configured to acquire energy monitoring data acquired and uploaded by a sensor in the energy pipeline network;
a characteristic determining module 1140, configured to determine energy operation characteristic information according to the energy monitoring data;
a second model building module 1150, configured to obtain a corresponding energy space data model based on the energy monitoring data and the digital space model, and display the energy operation characteristic information through the energy space data model.
In one embodiment of the present application, the apparatus 1100 may further include:
the abnormal alarm determining unit is used for determining target abnormal alarm information corresponding to a target abnormal position when the energy operation characteristic information indicates that the energy operation is abnormal;
and the abnormal alarm information sending unit is used for sending the target abnormal alarm information to a terminal.
In one embodiment of the present application, the apparatus 1100 may further include:
a management instruction receiving unit, configured to receive a target management instruction sent by the terminal in response to the target abnormal warning information;
a management instruction response unit, configured to determine, in response to the target management instruction, a target control facility corresponding to the target abnormal position in the energy pipeline network;
a control instruction transmitting unit configured to transmit a control instruction corresponding to the target management instruction to the target control facility so that the target control facility performs a braking operation specified in the target management instruction.
In one embodiment of the present application, the second data acquiring module 1130 may include:
the monitoring data acquisition unit is used for acquiring the energy monitoring data uploaded by the sensor through the Internet of things equipment;
the verification encryption unit is used for verifying and encrypting the authority of the energy monitoring data to obtain first monitoring data;
and the filtering and cleaning unit is used for performing data filtering and cleaning on the first monitoring data to obtain structured second monitoring data.
In one embodiment of the present application, the apparatus 1100 may further include:
the monitoring data storage unit is used for storing the structured second monitoring data to a time sequence database;
and the model data storage unit is used for storing the model data corresponding to the energy space data model into the time sequence database.
In one embodiment of the present application, the feature determining module 1140 may comprise:
the usage characteristic determining unit is used for determining energy usage characteristic information of a time dimension or an area dimension according to the energy monitoring data;
and the abnormity determining unit is used for determining energy operation abnormity information or abnormity early warning information according to the energy monitoring data.
In an embodiment of the present application, the second model building module 1150 may include:
the rendering display unit is used for rendering and displaying the energy space data model according to the energy monitoring data and the model data corresponding to the digital space model based on a three-dimensional graphic engine; and the energy pipeline network and the energy operation characteristic information in three dimensions are displayed in the energy space data model.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, the division of each functional module is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
The embodiment of the application provides a computer device, which comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the energy data management method provided by the above method embodiment.
Fig. 12 is a schematic hardware configuration diagram of an apparatus for implementing an energy data management method provided in the embodiment of the present application, which may participate in forming or incorporating the device or system provided in the embodiment of the present application. As shown in fig. 12, device 12 may include one or more (shown here as 1202a, 1202b, \8230;, 1202 n) processors 1202 (processor 1202 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), memory 1204 for storing data, and a transmission device 1206 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 12 is only an illustration and is not intended to limit the structure of the electronic device. For example, device 12 may also include more or fewer components than shown in FIG. 12, or have a different configuration than shown in FIG. 12.
It should be noted that the one or more processors 1202 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single, stand-alone processing module, or incorporated in whole or in part into any of the other elements in the device 12 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of variable resistance termination paths connected to the interface).
The memory 1204 can be used for storing software programs and modules of application software, such as program instructions/data storage devices corresponding to the methods described in the embodiments of the present application, and the processor 1202 executes various functional applications and data processing by running the software programs and modules stored in the memory 1204, so as to implement one of the energy data management methods described above. The memory 1204 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 1204 may further include memory located remotely from the processor 1202, which may be connected to the device 12 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 1206 is used for receiving or sending data via a network. Specific examples of such networks may include wireless networks provided by the communication provider of device 12. In one example, the transmitting device 1206 includes a network adapter (NIC) that can be connected to other network devices through a base station to communicate with the internet. In one example, the transmitting device 1206 can be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the device 12 (or mobile device).
The present application further provides a computer-readable storage medium, where the computer-readable storage medium may be disposed in a server to store at least one instruction or at least one program for implementing an energy data management method in the method embodiments, and the at least one instruction or the at least one program is loaded and executed by the processor to implement an energy data management method provided in the method embodiments.
Alternatively, in this embodiment, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, which can store program codes.
Embodiments of the present invention also provide a computer program product or a computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the computer device to execute the energy data management method provided in the various optional embodiments.
As can be seen from the above-described embodiments of the energy data management method, apparatus, medium, and device provided by the present application,
the utility model provides a scheme is gathered relevant data through the sensor of installation in the different position departments of pipeline, and upload to the high in the clouds server through the thing allies oneself with equipment, the high in the clouds server combines the city information model, the building information model, geographical position information and energy pipeline network's the data of laying, energy space data model is found out, on the one hand can present the route of laying of energy pipeline network in the city visually through three-dimensional graphics engine, user's installation condition and real-time energy in service behavior, on the other hand is with the help of big data analysis technique, can predict future energy in service behavior, the unusual condition of early warning pipeline, and further excavate the energy law of use. The scheme provided by the application can know the running condition of the energy pipeline and the real-time use condition of the energy in time, and improves the timeliness and the accuracy of energy monitoring; meanwhile, the abnormal condition of the energy or the pipeline can be determined in time, and the fault risk is reduced; in addition, analysis based on big data can help planning the laying of pipeline, the transport of energy, promotes energy utilization.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device and storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple and reference may be made to the partial description of the method embodiments for relevant points.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method for energy data management, the method comprising:
acquiring laying data of an energy pipeline network;
constructing to obtain a digital space model based on urban information model data, building information model data, geographical position information and laying data of the energy pipeline network;
acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network;
determining energy operation characteristic information according to the energy monitoring data;
and obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model.
2. The energy data management method of claim 1, further comprising:
when the energy operation characteristic information indicates that the energy operation is abnormal, determining target abnormal alarm information corresponding to a target abnormal position;
and sending the target abnormal alarm information to a terminal.
3. The energy data management method of claim 2, further comprising:
receiving a target management instruction sent by the terminal in response to the target abnormal warning information;
determining a target control facility corresponding to the target abnormal position in the energy pipeline network in response to the target management instruction;
sending a control command corresponding to the target management command to the target control facility to cause the target control facility to perform the braking operation specified in the target management command.
4. The energy data management method according to claim 1, wherein the acquiring energy monitoring data collected and uploaded by sensors in the energy pipeline network comprises:
acquiring the energy monitoring data uploaded by the sensor through the Internet of things equipment;
performing authority verification and encryption on the energy monitoring data to obtain first monitoring data;
and carrying out data filtering and cleaning on the first monitoring data to obtain structured second monitoring data.
5. The energy data management method of claim 4, wherein the method further comprises:
storing the structured second monitoring data to a time sequence database;
and storing the model data corresponding to the energy space data model into the time sequence database.
6. The method according to claim 1, wherein the determining energy operation characteristic information based on the energy monitoring data comprises:
determining energy use characteristic information of a time dimension or an area dimension according to the energy monitoring data;
or determining abnormal energy operation information or abnormal early warning information according to the energy monitoring data.
7. The method according to claim 1, wherein the obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model comprises
Rendering and displaying the energy space data model according to the energy monitoring data and model data corresponding to the digital space model based on a three-dimensional graphic engine;
and the energy pipeline network and the energy operation characteristic information in three dimensions are displayed in the energy space data model.
8. An energy data management apparatus, the apparatus comprising:
the first data acquisition module is used for acquiring laying data of the energy pipeline network;
the first model building module is used for building a digital space model based on urban information model data, building information model data, geographical position information and laying data of the energy pipeline network;
the second data acquisition module is used for acquiring energy monitoring data acquired and uploaded by a sensor in the energy pipeline network;
the characteristic determining module is used for determining energy operation characteristic information according to the energy monitoring data;
and the second model construction module is used for obtaining a corresponding energy space data model based on the energy monitoring data and the digital space model, and displaying the energy operation characteristic information through the energy space data model.
9. A computer-readable storage medium, wherein at least one instruction or at least one program is stored in the computer-readable storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement an energy data management method according to any one of claims 1 to 7.
10. A computer device comprising a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement a method of energy data management according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110919011.XA CN115705338A (en) | 2021-08-11 | 2021-08-11 | Energy data management method, device, medium, and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110919011.XA CN115705338A (en) | 2021-08-11 | 2021-08-11 | Energy data management method, device, medium, and apparatus |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115705338A true CN115705338A (en) | 2023-02-17 |
Family
ID=85179696
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110919011.XA Pending CN115705338A (en) | 2021-08-11 | 2021-08-11 | Energy data management method, device, medium, and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115705338A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116702401A (en) * | 2023-08-07 | 2023-09-05 | 腾讯科技（深圳）有限公司 | Data processing method, related device, equipment and storage medium |
-
2021
- 2021-08-11 CN CN202110919011.XA patent/CN115705338A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116702401A (en) * | 2023-08-07 | 2023-09-05 | 腾讯科技（深圳）有限公司 | Data processing method, related device, equipment and storage medium |
| CN116702401B (en) * | 2023-08-07 | 2023-12-08 | 腾讯科技（深圳）有限公司 | Data processing method, related device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11068634B2 (en) | Method, computer program and system providing real-time power grid hypothesis testing and contingency planning | |
| CN105938613B (en) | Intelligent city pipe network comprehensive platform based on BIM and VR and management method and construction method thereof | |
| Zeng et al. | Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management | |
| US8791816B2 (en) | Situational awareness for an electrical distribution system | |
| WO2018035143A1 (en) | Integrated solution of internet of things and smart grid network | |
| CN109408603A (en) | A kind of platform area topology drawing drawing method based on big data | |
| Allen et al. | Water distribution system monitoring and decision support using a wireless sensor network | |
| KR101486443B1 (en) | Multi-dimensional and object-oriented data management system for bridge based on mobile field inspection, and method for the same | |
| CN106651074A (en) | Intelligent underground pipeline management system | |
| US20210374629A1 (en) | Systems and methods for visualization of flow direction in a distribution network | |
| Gama et al. | Water distribution network model building, case study: Milano, Italy | |
| CN114063995A (en) | Development engine system and method based on managed pipe city visualization | |
| CN115705338A (en) | Energy data management method, device, medium, and apparatus | |
| Hauser et al. | Interoperability: the key for smart water management | |
| CN109582836A (en) | A kind of water measurement management system | |
| CN111208384A (en) | Smart power grid management system | |
| CN112765718A (en) | Water treatment plant operation and maintenance system and method based on BIM and Internet of things technology | |
| CN115577541A (en) | Digital twin identification method and management system for hidden cable pipe network facilities | |
| KR102359512B1 (en) | Apparatus for providing integrated information on energy facilities of smart city and method thereof | |
| Eicker et al. | On the design of an urban modelling platform and its application for a New York analysis | |
| Khan et al. | A Distributed Computing Architecture to Support Field Engineering in Networked Systems | |
| CN104754594B (en) | A kind of dense feature block based on grid offset quickly gathers algorithm | |
| Boloorchi et al. | An IoT-Fog-Cloud Framework for Demand Side Management in Smart Grid | |
| Yang et al. | Flexible automatic detection for security management of dispatching data network | |
| Du et al. | Dynamic Data-Driven Modelling of Water Allocation for the Internet of Things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |