CN113516331A

CN113516331A - Building data processing method and device

Info

Publication number: CN113516331A
Application number: CN202011341777.6A
Authority: CN
Inventors: 张涛; 万超; 刘轶斌; 巫泽敏; 欧阳国灵
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-11-25
Filing date: 2020-11-25
Publication date: 2021-10-19

Abstract

The embodiment of the application provides a building data processing method and device, which are used for monitoring and managing building buildings. The building data processing method comprises the following steps: acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building; constructing a digital building model based on geometric information data and design attribute data separated from the building data; generating a linkage instruction of linkage equipment associated with the equipment in the digital building model based on the running data corresponding to the equipment and the set equipment linkage relation; and controlling the linkage equipment to operate based on the linkage instruction. According to the technical scheme, the operation of the linkage equipment related to the equipment is automatically controlled based on the operation data of the equipment, the cost of building data processing is reduced, the efficiency of building and equipment management is improved, and the consistency and the cooperativity of building and equipment management are improved.

Description

Building data processing method and device

Technical Field

The application relates to the technical field of computers and communication, in particular to a building data processing method and device.

Background

In many building control systems, the operating conditions of a building and the devices therein are monitored to determine the operating conditions of the building and the devices therein. However, this method needs to be based on a large number of data acquisition devices, and in the process of forming a control command after acquiring data and performing device control, it is necessary to determine a corresponding control command in an artificial manner and send the control command to the device in an artificial manner. This approach requires significant monitoring costs and is inefficient in the control process and risks inaccurate and unsafe plant control.

Disclosure of Invention

The embodiment of the application provides a building data processing method and device, so that the cost of building data processing can be reduced at least to a certain extent, the building and equipment management efficiency is increased, and the consistency and the cooperativity of building and equipment management are improved.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.

According to an aspect of an embodiment of the present application, there is provided a building data processing method, including: acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building; constructing a digital building model based on geometric information data and design attribute data separated from the building data; generating a linkage instruction of linkage equipment associated with the equipment in the digital building model based on the running data corresponding to the equipment and the set equipment linkage relation; and controlling the linkage equipment to operate based on the linkage instruction.

According to an aspect of an embodiment of the present application, there is provided a data processing apparatus including: the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building; the building unit is used for building a digital building model based on geometric information data and design attribute data which are separated from the building data; the generating unit is used for generating a linkage instruction of linkage equipment related to the equipment in the digital building model based on the running data corresponding to the equipment and the set equipment linkage relation; and the operation control unit is used for controlling the linkage equipment to operate based on the linkage instruction.

In some embodiments of the present application, based on the foregoing solution, the construction unit is configured to: carrying out format conversion on the building data to generate data corresponding to a building information format; extracting the geometric information data and the design attribute data from the data corresponding to the building information format; converting the geometric information data into three-dimensional data to generate a preliminary building model; and importing the design attribute data into the preliminary building model to generate the digital building model.

In some embodiments of the present application, based on the foregoing scheme, the generating unit is configured to: analyzing the operating data to generate analyzed data; matching the analysis data with preset event information, and determining an event type corresponding to the operation data; determining linkage equipment corresponding to the equipment based on the event type and the set equipment linkage relation; and generating a linkage instruction for controlling the linkage equipment based on the preset linkage information corresponding to the linkage equipment.

In some embodiments of the present application, based on the foregoing solution, the data processing apparatus is further configured to: and monitoring operation data generated when the linkage equipment executes the linkage instruction, and adjusting the operation state of the linkage equipment in the digital building model based on the operation data.

In some embodiments of the present application, based on the foregoing solution, the data processing apparatus is further configured to: based on the equipment model corresponding to the operating data, carrying out standardization processing on the operating data to generate standardized data; matching the standardized data with a set equipment operation index to generate a matching result; aggregating the matching results corresponding to the equipment operation indexes to generate the current corresponding operation state of the equipment; and displaying the current corresponding operating state of the equipment in the digital building model.

In some embodiments of the present application, based on the foregoing solution, the data processing apparatus is further configured to: if the running state does not accord with the set running standard, generating alarm information; and pushing the alarm information to a control terminal corresponding to the digital building model.

In some embodiments of the present application, based on the foregoing scheme, the obtaining unit is configured to: acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building based on a preset equipment access mode; the device access mode comprises at least one of the following modes: the system comprises a device access mode constructed by an internet of things device, a device access mode constructed by a gateway device, a device access mode constructed by a video device and a device access mode constructed by a building device automation system.

In some embodiments of the present application, based on the foregoing solution, the data processing apparatus is further configured to: analyzing the building data and the operation data to determine static data and dynamic data in the building data and the operation data; wherein the static data comprises at least one of the following data: the device comprises equipment attributes, spatial positions, linkage setting information and monitoring configuration information, wherein the dynamic data comprises data corresponding to at least one type of the following data: the access control record type, the parking record type and the energy consumption history type; storing the static data and the dynamic data based on a set data function; and carrying out artificial intelligence-based analysis on the static data and the dynamic data to generate service logic running between the devices.

In some embodiments of the present application, based on the foregoing solution, the data processing apparatus is further configured to: acquiring the position information of the building and the position information of the equipment from the building data; displaying the digital building model in an interface based on the location information of the building, and displaying each device in the interface based on the location information of the device; determining the operation state corresponding to each device in the building based on the operation data corresponding to each device; and displaying the running state corresponding to each device in a management interface of the data building model.

According to an aspect of embodiments of the present application, there is provided a computer-readable medium on which a computer program is stored, the computer program, when executed by a processor, implementing the building data processing method as described in the above embodiments.

According to an aspect of an embodiment of the present application, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the building data processing method as described in the above embodiments.

According to an aspect of embodiments herein, there is provided 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, so that the computer device executes the building data processing method provided in the above-mentioned various alternative implementations.

In the technical solutions provided in some embodiments of the present application, building data corresponding to a building structure and operation data corresponding to devices in a building are obtained, so as to construct a digital building model based on set information data and design attribute data obtained by separating from the building data, then, in the data building model, a linkage instruction of a linkage device associated with the devices is generated based on the operation data corresponding to the devices and a set device linkage relationship, and finally, the linkage device is controlled to operate based on the linkage instruction. The operation of the linkage equipment associated with the equipment is automatically controlled based on the operation data of the equipment, so that the cost of building data processing is reduced, the efficiency of building and equipment management is increased, and the consistency and the cooperativity of building and equipment management are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

FIG. 1 shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;

FIG. 2 schematically illustrates a flow diagram of a building data processing method according to an embodiment of the present application;

FIG. 3 schematically illustrates an equipment operation interface according to an embodiment of the present application;

FIG. 4 schematically illustrates a composition of a building data management platform according to an embodiment of the present application;

FIG. 5 schematically illustrates a processing diagram of building data according to an embodiment of the present application;

FIG. 6 schematically illustrates a schematic diagram of a manner of transmission of building data according to an embodiment of the present application;

FIG. 7 schematically illustrates a schematic diagram based on building data modeling according to an embodiment of the present application;

FIG. 8 schematically illustrates a schematic diagram of artificial intelligence analysis of building data according to an embodiment of the present application.

FIG. 9 schematically shows a schematic diagram of a logic engine according to an embodiment of the present application;

FIG. 10 schematically illustrates a functional schematic of a building data processing platform according to an embodiment of the present application;

FIG. 11 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present application;

FIG. 12 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

Cloud technology refers to a hosting technology for unifying serial resources such as hardware, software, network and the like in a wide area network or a local area network to realize calculation, storage, processing and sharing of data. Cloud technology (Cloud technology) is based on a general term of network technology, information technology, integration technology, management platform technology, application technology and the like applied in a Cloud computing business model, can form a resource pool, is used as required, and is flexible and convenient. Cloud computing technology will become an important support. Background services of the technical network system require a large amount of computing and storage resources, such as video websites, picture-like websites and more web portals. With the high development and application of the internet industry, each article may have its own identification mark and needs to be transmitted to a background system for logic processing, data in different levels are processed separately, and various industrial data need strong system background support and can only be realized through cloud computing.

Cloud computing (cloud computing) refers to a delivery and use mode of an IT infrastructure, and refers to obtaining required resources in an on-demand and easily-extensible manner through a network; the generalized cloud computing refers to a delivery and use mode of a service, and refers to obtaining a required service in an on-demand and easily-extensible manner through a network. Such services may be IT and software, internet related, or other services. Cloud Computing is a product of development and fusion of traditional computers and Network Technologies, such as Grid Computing (Grid Computing), Distributed Computing (Distributed Computing), Parallel Computing (Parallel Computing), Utility Computing (Utility Computing), Network Storage (Network Storage Technologies), Virtualization (Virtualization), Load balancing (Load Balance), and the like. With the development of diversification of internet, real-time data stream and connecting equipment and the promotion of demands of search service, social network, mobile commerce, open collaboration and the like, cloud computing is rapidly developed. Different from the prior parallel distributed computing, the generation of cloud computing can promote the revolutionary change of the whole internet mode and the enterprise management mode in concept.

A distributed cloud storage system (hereinafter, referred to as a storage system) refers to a storage system that integrates a large number of storage devices (storage devices are also referred to as storage nodes) of different types in a network through application software or application interfaces to cooperatively work by using functions such as cluster application, grid technology, and a distributed storage file system, and provides a data storage function and a service access function to the outside. At present, a storage method of a storage system is as follows: logical volumes are created, and when created, each logical volume is allocated physical storage space, which may be the disk composition of a certain storage device or of several storage devices. The client stores data on a certain logical volume, that is, the data is stored on a file system, the file system divides the data into a plurality of parts, each part is an object, the object not only contains the data but also contains additional information such as data identification (ID, ID entry), the file system writes each object into a physical storage space of the logical volume, and the file system records storage location information of each object, so that when the client requests to access the data, the file system can allow the client to access the data according to the storage location information of each object. The process of allocating physical storage space for the logical volume by the storage system specifically includes: physical storage space is divided in advance into stripes according to a group of capacity measures of objects stored in a logical volume (the measures often have a large margin with respect to the capacity of the actual objects to be stored) and Redundant Array of Independent Disks (RAID), and one logical volume can be understood as one stripe, thereby allocating physical storage space to the logical volume.

In the embodiment of the application, the building data representing the building structure and the equipment data of the equipment operation are collected and stored in the cloud after the data are collected, so that the data are called, analyzed and processed in real time and the like.

Big data (Big data) refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode. With the advent of the cloud era, big data has attracted more and more attention, and the big data needs special technology to effectively process a large amount of data within a tolerance elapsed time. The method is suitable for the technology of big data, and comprises a large-scale parallel processing database, data mining, a distributed file system, a distributed database, a cloud computing platform, the Internet and an extensible storage system.

In the embodiment of the application, building data and equipment data are processed based on a big data technology, so that management of building buildings and control over equipment are facilitated, building management and equipment management are integrated in a coordinated mode, and management efficiency is improved.

The Internet of things (IOT) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and position through various devices and technologies such as various information sensors, radio frequency identification technology, global positioning system, infrared sensor and laser scanner, and realize ubiquitous connection of objects and people through various possible network accesses, so as to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.

The Cloud IOT aims to connect information sensed by sensing equipment in the traditional Internet of things and received instructions into the Internet, really realizes networking, and realizes mass data storage and operation through a Cloud computing technology.

In the embodiment of the application, building buildings are associated in a cloud-based Internet of things mode, and all devices in the building buildings are associated, so that management and control of cooperative integration are realized, and management efficiency is improved.

The artificial intelligence cloud Service is also generally called AI as a Service (AIaaS). The method is a service mode of an artificial intelligence platform, and particularly, the AIaaS platform splits several types of common AI services and provides independent or packaged services at a cloud. This service model is similar to the one opened in an AI theme mall: all developers can access one or more artificial intelligence services provided by the platform through an API (application programming interface), and part of the qualified developers can also use an AI framework and an AI infrastructure provided by the platform to deploy and operate and maintain the self-dedicated cloud artificial intelligence services.

Artificial Intelligence (AI) is a theory, method, technique and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and expand human Intelligence, perceive the environment, acquire knowledge and use the knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

According to the building data and operation data analysis method and device, after the building data and the operation data are obtained, the building data and the operation data are analyzed and processed in an artificial intelligence mode, so that the maximum utilization of the data is achieved, and the accuracy and the management efficiency of building management and equipment management are improved. For example, Machine Learning (ML) is a multi-domain cross discipline, involving multiple disciplines such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, and so on. The special research on how a computer simulates or realizes the learning behavior of human beings so as to acquire new knowledge or skills and reorganize the existing knowledge structure to continuously improve the performance of the computer. Machine learning is the core of artificial intelligence, is the fundamental approach for computers to have intelligence, and is applied to all fields of artificial intelligence. Machine learning and deep learning generally include techniques such as artificial neural networks, belief networks, reinforcement learning, transfer learning, inductive learning, and formal education learning. With the research and progress of artificial intelligence technology, the artificial intelligence technology develops research and application in a plurality of fields, such as common smart homes, smart wearable devices, virtual assistants, smart customer service and the like.

Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied.

As shown in fig. 1, the system architecture may include terminal devices for collecting building data and equipment data.

The terminal device in this embodiment is one or more of the smartphone 101, the imaging device 102, and the sensor 103 shown in fig. 1, but may be a desktop computer or the like.

The network 104 in this embodiment is used to provide the medium of a communication link between the terminal device and the server 105. Network 104 may include various connection types, such as wired communication links, wireless communication links, and so forth.

After the server acquires the building data and the equipment data, the data are processed, and then a data processing result and a control instruction are generated and sent to the building equipment. Among them, the construction equipment may be a printer 106, a facsimile machine 107, an elevator 108, and the like.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, server 105 may be a server cluster comprised of multiple servers, or the like.

In an embodiment of the application, a server acquires building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building through terminal equipment; constructing a digital building model based on geometric information data and design attribute data which are obtained by separating from building data; in the digital building model, generating a linkage instruction of linkage equipment associated with the equipment based on the running data corresponding to the equipment and the set equipment linkage relation; and controlling the linkage equipment to operate based on the linkage instruction.

According to the scheme, the building data corresponding to the building structure and the operation data corresponding to the equipment in the building are obtained, the digital building model is constructed on the basis of the set information data and the design attribute data which are obtained by separating from the building data, then, in the data building model, the linkage instruction of the linkage equipment related to the equipment is generated on the basis of the operation data corresponding to the equipment and the set equipment linkage relation, and finally, the linkage equipment is controlled to operate on the basis of the linkage instruction. The operation of the linkage equipment associated with the equipment is automatically controlled based on the operation data of the equipment, so that the cost of building data processing is reduced, the efficiency of building and equipment management is increased, and the consistency and the cooperativity of building and equipment management are improved.

It should be noted that the building data processing method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the data processing device is generally disposed in the server 105. However, in other embodiments of the present application, the terminal device may also have a similar function to the server, so as to execute the building data processing method provided by the embodiments of the present application.

The server 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 cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and a big data and artificial intelligence platform. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein.

The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:

fig. 2 shows a flow diagram of a building data processing method according to an embodiment of the present application, which may be performed by a server, which may be the server shown in fig. 1. Referring to fig. 2, the building data processing method at least includes steps S210 to S240, and the following is described in detail:

in step S210, building data corresponding to the structure of at least one building and operation data corresponding to devices in the building are acquired.

In an embodiment of the present application, building data corresponding to a structure of a building and operating data corresponding to devices in the building are obtained first. Specifically, the building data in the present embodiment includes construction data, position data, structure data, and the like of the building, which identify the construction of the building; operation of the device the data includes data generated by the device during operation, such as switching data, temperature, occupancy, etc.

In this embodiment, the mode of acquiring the building data and the operation data may be a mode of acquiring data in real time by using a camera device and a sensor device, and sending the data to a server.

In step S220, a digital building model is constructed based on the geometric information data and the design attribute data separated from the building data.

In an embodiment of the present application, after obtaining the building data, geometric information data and design attribute data corresponding to the building are separated from the building data to construct a digital building model based on the two data. Specifically, the geometric information data in the embodiment of the present application includes position data of each contour, wall surface, and architecture in the building, such as height, length, and the like; the design attribute data includes data of various decorations, devices, and the like laid in the building.

In this embodiment, when the digital building model is constructed, an architecture of a building is constructed based on geometric information data in building data, and then information corresponding to design attribute data is filled in based on the architecture, so as to generate the digital building model.

In step S230, an interlock command of the interlock device associated with the device is generated in the digital building model based on the operation data corresponding to the device and the set device interlock relationship.

In an embodiment of the application, after the digital building model is constructed, the linkage device corresponding to the device is determined based on the operation data corresponding to the device and the device linkage relationship preset by the device, and then the linkage instruction corresponding to the linkage device is generated based on the operation data corresponding to the device.

Illustratively, after device A is turned on, the on-going operational data is generated. In this embodiment, the linkage device corresponding to the device a is determined to be the device B based on the device linkage relationship, and then the linkage instruction corresponding to the device B is determined to be moved to the corresponding position based on the startup operation data corresponding to the device a. Wherein, the device A can be a gate of a building, and the device B can be an elevator, a scooter and the like.

In step S240, the operation of the linkage device is controlled based on the linkage command.

In an embodiment of the application, after the linkage instruction is generated, the linkage instruction is sent to the linkage equipment so as to control the linkage equipment to operate based on the linkage instruction.

Specifically, the building data processing method in this embodiment may be implemented in a preset operation management platform. The operation management platform is a central management platform for a building aiming at a user, equipment, application, data and the like are managed in a unified mode, the existing intelligent building operation platform software and hardware binding fixing mechanism is broken through while management is facilitated, software and hardware regeneration on a project is supported, the user can be concentrated in self service, and the platform is integrally resident. The client can carry out project parking on the platform by himself, and the operation flow based on the operation management platform in the embodiment is as follows: and applying for project entrance, entrance auditing and finishing entrance, and realizing the management of the building project by the mode. Specifically, the user can apply for the management platform, the system can inform that the audit is passed after the audit is passed by the administrator, the user can register an account and a login password, the user can log in the management operation platform after the user completes the login, and a building, a management device and the like are configured on the project of the user.

The platform supports the introduction of various equipment types such as a traditional equipment Building equipment Automation System (BA), an internet of things equipment, a gateway equipment, a video equipment and the like, and the equipment can be directly used on a project after being introduced into the platform in different modes; besides device import, the user can also perform classified management and recording on the import device.

Specifically, in this embodiment, when importing the device, the information that can be input includes the following information: the device name can be defined by users, and the number of the device name is not more than 50; the field water content can be directly acquired through the imported equipment identification information; the product ID is strongly checked, and the check is not imported through a legal method and can be obtained from an equipment provider; the SN equipment bar code is strongly checked, the field cannot be led in without passing the check, and the field can be obtained from equipment or a packaging box; building, when the building is recorded, the data can be filled in by pulling down; when the floor is recorded, the data can be filled in by pulling down; when the position and the floor are recorded, the data can be filled in by pulling down.

Specifically, as shown in table 1, in this embodiment, after the device information is acquired, the device information may be managed, and unified management is performed according to information corresponding to each device, as shown in table 1:

TABLE 1

Besides, the building can be flexibly configured in the embodiment, a user can build a digital twin building according to project conditions, meanwhile, the building type supports single buildings, tower buildings and park building group buildings, the requirements of various types of diversified buildings of different projects are met, CAD drawing importing and BIM model importing functions are provided, the module capacity of a data center is called, and the rapid modeling from the CAD drawing of the building structure to three-dimensional simple modeling is realized. And the platform can accurately show information such as the geographical layout of the building buildings on the map.

As shown in table 2, on the platform of the building, the space can be controlled, and the building can also define the spatial linkage relationship, configure the automatic linkage event, and set the trigger event and the linkage rule and execute the action. The cross-system linkage caused by timing linkage events and services can be flexibly set. Such as: 8, automatically turning on the lamp at the 8 o' clock and automatically turning off the lamp at noon break, brushing the staff into the entrance guard to automatically dispatch the elevator to a station floor and the like.

TABLE 2

As shown in table 2, when the linkage device is added to the system, information such as a name, a trigger event, an execution action, an effective period, and a linkage description of the linkage device needs to be added as configuration information for the linkage device, so that the device can perform linkage operation according to the information.

In an embodiment of the application, after the equipment and the building are configured, the platform further provides information that an indoor map can accurately show indoor layout, accurate directions of equipment point locations in a floor and the like, the working state of the equipment point locations in the current floor, live video of a camera, equipment attributes and the like can be clearly checked, and the monitoring degree of a user on the whole building is greatly improved.

As shown in fig. 3, in the present embodiment, the positions and the operating states of the respective elevators and the imaging devices can be displayed in real time in the figure. In this embodiment, a corresponding position in the graph may also be clicked, and then the state information at the corresponding position may be obtained. Such as the name of the lamp, the color, the current on-off state and brightness of the lamp, etc., and the user can adjust the operation information of the current device in the control interface to achieve the control effect.

In an embodiment of the application, the platform further provides diversified operation and maintenance data analysis modes, a user can configure different data indexes by self-defining data indexes to analyze and display different BI reports, and more accurate and rich analysis and management modes of the building operation and maintenance data are provided for the user.

As shown in fig. 4, the platform of the present embodiment mainly includes the following modules: digital space model, logic engine, internet of things service and open API. In the embodiment, various devices are accessed and data are stored in the data space through the internet of things service and various protocols, the logic engine extracts the data in the digital space to perform logic operation and processing, the final result is stored in the digital space, all the data can be provided through a safe API, and the management platform obtains the data and the logic capacity through the API.

As shown in fig. 5, in the development management platform architecture, the data space is mainly responsible for importing information such as buildings, equipment, property management, and the like and performing multidimensional management on the data, and the overall architecture thereof is shown in fig. 5. Specifically, data is reported through equipment and data is reported through application, the data is added into a message queue through an equipment access layer, and then the data is calculated through a physical model and a parser, wherein the calculation can comprise flow calculation, data analysis, a rule engine, scene linkage and the like; then storing the data for later log search, dynamic data and space data query and the like; and platform services are realized through device shadow, message subscription, space service and other modes. In the process of data service, the data service can be processed by a visualization engine, and in addition, the data service can be processed by a third party application, such as public numbers, applets, application software, network applications and the like.

The process of acquiring the building data corresponding to the structure of at least one building and the operation data corresponding to the devices in the building in step S210 includes: acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building based on a preset equipment access mode; the equipment access mode comprises at least one of the following modes: the system comprises a device access mode constructed by an internet of things device, a device access mode constructed by a gateway device, a device access mode constructed by a video device and a device access mode constructed by a building device automation system.

As shown in fig. 6, in the process of acquiring building data and operation data in this embodiment, the data may be transmitted to the platform through a video gateway or a network in a manner of a direct connection terminal device, a non-direct connection terminal device, and a video device. The IOT service module is mainly used for supporting access of various intelligent devices and has the following capabilities: the device access of various networks is provided, and 2G to 4G, NB-IOT and IP networks are supported; the access of equipment under different protocols such as MQTT, HTTP, COAP and the like is supported; supporting the access of video equipment; supporting SDK access under various operating systems; a supplier accesses a production number allocation system through an open platform; and the constructor and project management personnel finish the data import of the construction equipment. Compare with traditional BIM wisdom building management platform, it has following advantage: standard protocols: MQTT and HTTP are standard protocols, and an access party only needs to be realized according to the standard; the compatibility is strong: under the state of protocol upgrading, the old access equipment can also be continuously used; the flexibility is high: hardware manufacturers realize the access function according to the needs, and direct connection and indirect access are both feasible; the safety is good: and encrypting communication by using security protocols such as national password, HTTPS and the like.

After obtaining building data corresponding to a structure of at least one building and operational data corresponding to equipment in the building, the method further comprises: analyzing the building data and the operation data to determine static data and dynamic data in the building data and the operation data; wherein the static data comprises at least one of the following data: the device comprises equipment attributes, spatial positions, linkage setting information and monitoring configuration information, wherein the dynamic data comprises data corresponding to at least one type of the following data: the access control record type, the parking record type and the energy consumption history type; storing the static data and the dynamic data based on a set data function; and analyzing the static data and the dynamic data based on artificial intelligence to generate service logic running between the devices. The operation between the devices is controlled based on the service logic, and the cooperative integration of the operation of the devices is improved.

In an embodiment of the present application, the step S220 is a process of constructing a digital building model based on geometric information data and design attribute data obtained by separating from building data, and specifically includes: carrying out format conversion on the building data to generate data corresponding to the building information format; extracting geometric information data and design attribute data from data corresponding to the building information format; converting the geometric information data into three-dimensional data to generate a preliminary building model; and importing the design attribute data into the preliminary building model to generate a digital building model.

As shown in fig. 7, compared with the conventional BIM intelligent building platform, it supports users to generate an intelligent building model by importing drawings such as CAD of a building, and export the intelligent building model into IFC or other BIM formats meeting national specifications by using interfaces or plug-ins inside the building software. The BIM data is then extracted as geometry information data and design parameter attribute data, and the geometry information data is stored as a generic 3D file (fbx \ gltf, etc.). And finally, storing the design parameter attributes into a database, so that the platform side can pull corresponding data according to requirements, and the requirements of layer-dividing and classified loading of the BIM model are met.

In an embodiment of the present application, after obtaining building data corresponding to a structure of at least one building and operation data corresponding to devices in the building, the method further includes: analyzing the building data and the operation data to determine static data and dynamic data in the building data and the operation data; wherein the static data comprises at least one of the following data: the device comprises equipment attributes, spatial positions, linkage setting information and monitoring configuration information, wherein the dynamic data comprises data corresponding to at least one type of the following data: the access control record type, the parking record type and the energy consumption history type; storing the static data and the dynamic data based on a set data function; and analyzing the static data and the dynamic data based on artificial intelligence to generate service logic running between the devices.

As shown in fig. 8, in this embodiment, based on the BIM big data analysis platform in the digital space model and the data analysis platform based on artificial intelligence, the user can also perform artificial intelligence analysis and calculation service on business logic, and provide multidimensional management of data. Specifically, the artificial intelligence analysis in the present embodiment may include data analysis of computer vision, machine learning, deep learning, and the like. By analyzing the building data, the data effect is more fully embodied, and the application value of the data is improved.

In an embodiment of the present application, a process of generating a linkage instruction of a linkage device associated with a device based on operating data corresponding to the device and a set device linkage relationship includes: analyzing the operating data to generate analyzed data; matching the analyzed data with preset event information, and determining an event type corresponding to the operating data; determining linkage equipment corresponding to the equipment based on the event type and the set equipment linkage relation; and generating a linkage instruction for controlling the linkage equipment based on the preset linkage information corresponding to the linkage equipment.

As shown in fig. 9, the logic engine in this embodiment is mainly used to extract data in the digital space data, perform preprocessing, perform logic operation and processing, and return the final result to the digital space. Specifically, the event type corresponding to the operation data is determined by matching the analysis data with preset event information; determining linkage equipment corresponding to the equipment based on the event type and the set equipment linkage relation; and generating a linkage instruction for controlling the linkage equipment based on the preset linkage information corresponding to the linkage equipment.

As shown in fig. 9, in this embodiment, the operation data is normalized based on the device model corresponding to the operation data, and normalized data is generated; matching the standardized data with the set equipment operation index to generate a matching result; aggregating the matching results corresponding to the equipment operation indexes to generate the current corresponding operation state of the equipment; and displaying the current corresponding operating state of the equipment in the digital building model.

In an embodiment of the present application, the building data processing method in this embodiment further includes: acquiring position information of a building and position information of equipment from building data; displaying the digital building model in an interface based on the position information of the building, and displaying each device in the interface based on the position information of the device; determining the operation state corresponding to each device based on the operation data corresponding to each device in the building; and displaying the running state corresponding to each device in a management interface of the data building model. Through the display of the interface, the operation of the building and the equipment is more vividly displayed to the user, and the control efficiency of the equipment is further improved.

As shown in fig. 10, compared with the conventional BIM intelligent building platform, the building data processing method in the present embodiment can perform services such as message service, device management, data management, and intelligent analysis. The development management platform carries out diversified logical operation and processing on geographic data such as buildings and equipment and logistics management data through a logical engine, so that ecological application is enabled. Assets and services in a building scene are processed and analyzed in a centralized mode, linkage setting among different building information is provided, and flexible data sharing and intelligent control in the scene are achieved. The capability of a user to create a BIM model and import equipment points is provided, the platform is more concentrated on interconnection and fusion of various systems and equipment in a building, efficient connection and cooperation of people, equipment and services in a scene are realized, and the building industry is assisted to quickly build innovative industrial application of intelligent innovation. Depending on big data analysis and AI computing power, the open management platform provides the user with deep analysis processing and multidimensional management capabilities on geographic and business data, such as real-time monitoring, early warning, trend judgment and the like.

The following describes embodiments of the apparatus of the present application, which may be used to perform the building data processing method in the above-described embodiments of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the building data processing method described above in the present application.

FIG. 11 shows a block diagram of a data processing apparatus according to an embodiment of the present application.

Referring to fig. 11, a data processing apparatus 1100 according to an embodiment of the present application includes: an obtaining unit 1110, configured to obtain building data corresponding to a structure of at least one building and operation data corresponding to devices in the building; a construction unit 1120 for constructing a digital building model based on geometric information data and design attribute data separated from the building data; a generating unit 1130, configured to generate, in the digital building model, an interlocking instruction of an interlocking device associated with the device based on the operation data corresponding to the device and the set device interlocking relationship; and the operation control unit 1140 is used for controlling the linkage equipment to operate based on the linkage instruction.

In some embodiments of the present application, based on the foregoing scheme, the building unit 1120 is configured to: carrying out format conversion on the building data to generate data corresponding to a building information format; extracting the geometric information data and the design attribute data from the data corresponding to the building information format; converting the geometric information data into three-dimensional data to generate a preliminary building model; and importing the design attribute data into the preliminary building model to generate the digital building model.

It should be noted that the computer system 1200 of the electronic device shown in fig. 12 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 12, the computer system 1200 includes a Central Processing Unit (CPU)1201, which can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1202 or a program loaded from a storage section 1208 into a Random Access Memory (RAM) 1203. In the RAM 1203, various programs and data necessary for system operation are also stored. The CPU 1201, ROM 1202, and RAM 1203 are connected to each other by a bus 1204. An Input/Output (I/O) interface 1205 is also connected to bus 1204.

The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, a mouse, and the like; an output section 1207 including a Display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 1208 including a hard disk and the like; and a communication section 1209 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the internet. A driver 1210 is also connected to the I/O interface 1205 as needed. A removable medium 1211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 1210 as necessary, so that a computer program read out therefrom is mounted into the storage section 1208 as necessary.

In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 1209, and/or installed from the removable medium 1211. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 1201.

It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being 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 the method provided in the various alternative implementations described above.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A building data processing method, comprising:

acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building;

constructing a digital building model based on geometric information data and design attribute data separated from the building data;

generating a linkage instruction of linkage equipment associated with the equipment in the digital building model based on the running data corresponding to the equipment and the set equipment linkage relation;

and controlling the linkage equipment to operate based on the linkage instruction.

2. The method of claim 1, wherein constructing a digital building model based on geometric information data and design attribute data separated from the building data comprises:

carrying out format conversion on the building data to generate data corresponding to a building information format;

extracting the geometric information data and the design attribute data from the data corresponding to the building information format;

converting the geometric information data into three-dimensional data to generate a preliminary building model;

and importing the design attribute data into the preliminary building model to generate the digital building model.

3. The method according to claim 1, wherein generating the linkage command of the linkage device associated with the device based on the operation data corresponding to the device and the set device linkage relation comprises:

analyzing the operating data to generate analyzed data;

matching the analysis data with preset event information, and determining an event type corresponding to the operation data;

determining linkage equipment corresponding to the equipment based on the event type and the set equipment linkage relation;

and generating a linkage instruction for controlling the linkage equipment based on the preset linkage information corresponding to the linkage equipment.

4. The method of claim 1, wherein controlling the operation of the linkage device based on the linkage command further comprises:

and monitoring operation data generated when the linkage equipment executes the linkage instruction, and adjusting the operation state of the linkage equipment in the digital building model based on the operation data.

5. The method of claim 1, further comprising:

based on the equipment model corresponding to the operating data, carrying out standardization processing on the operating data to generate standardized data;

matching the standardized data with a set equipment operation index to generate a matching result;

aggregating the matching results corresponding to the equipment operation indexes to generate the current corresponding operation state of the equipment;

and displaying the current corresponding operating state of the equipment in the digital building model.

6. The method according to claim 5, wherein after aggregating the matching results corresponding to each of the equipment operation indicators and generating the current corresponding operation state of the equipment, further comprising:

if the running state does not accord with the set running standard, generating alarm information;

and pushing the alarm information to a control terminal corresponding to the digital building model.

7. The method of claim 1, wherein obtaining building data corresponding to a configuration of at least one building and operational data corresponding to equipment in the building comprises:

acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building based on a preset equipment access mode;

the device access mode comprises at least one of the following modes:

the system comprises a device access mode constructed by an internet of things device, a device access mode constructed by a gateway device, a device access mode constructed by a video device and a device access mode constructed by a building device automation system.

8. The method of claim 1, wherein after obtaining building data corresponding to a configuration of at least one building and operational data corresponding to equipment in the building, the method further comprises:

analyzing the building data and the operation data to determine static data and dynamic data in the building data and the operation data; wherein the static data comprises at least one of the following data: the device comprises equipment attributes, spatial positions, linkage setting information and monitoring configuration information, wherein the dynamic data comprises data corresponding to at least one type of the following data: the access control record type, the parking record type and the energy consumption history type;

storing the static data and the dynamic data based on a set data function;

and carrying out artificial intelligence-based analysis on the static data and the dynamic data to generate service logic running between the devices.

9. The method of claim 1, further comprising:

acquiring the position information of the building and the position information of the equipment from the building data;

displaying the digital building model in an interface based on the location information of the building, and displaying each device in the interface based on the location information of the device;

determining the operation state corresponding to each device in the building based on the operation data corresponding to each device;

and displaying the running state corresponding to each device in a management interface of the data building model.

10. A construction data processing apparatus, characterized by comprising:

the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring building data corresponding to the structure of at least one building and operation data corresponding to equipment in the building;

the building unit is used for building a digital building model based on geometric information data and design attribute data which are separated from the building data;

the generating unit is used for generating a linkage instruction of linkage equipment related to the equipment in the digital building model based on the running data corresponding to the equipment and the set equipment linkage relation;

and the operation control unit is used for controlling the linkage equipment to operate based on the linkage instruction.