New urban construction project data modeling linkage method and device

Abstract

The invention provides a new city construction project data modeling linkage method and device, and the method comprises the steps: obtaining various dynamic data generated by a southbound system, and presetting a global unique identity identification number for each dynamic data; based on a preset identity identification number, matching each type of dynamic data with an entity object in the digital city model; and establishing a mapping table corresponding to the identity identification number, wherein fields in the mapping table can be synchronously updated along with the dynamic data. Through the new city construction project data modeling linkage method and device provided by the embodiment of the invention, dynamic data generated by a southbound system can be effectively combined with static model data in a CIM platform, a data island phenomenon is avoided, and unification and sharing of global data views are realized; moreover, real-time synchronization of the dynamic data and the CIM model data can be ensured, the decision support and management efficiency is prevented from being influenced by data updating lag, and the method is particularly suitable for application scenes needing quick response.

Description

Technical Field

[0001] This application belongs to the technical field of data processing, and particularly relates to a data modeling linkage method and device for new urban construction projects. Background Art

[0002] Existing CIM (City Information Modeling) technology usually models and visualizes the spatial data and asset information of urban infrastructure, but lacks an effective binding and linkage mechanism for the dynamic data (such as equipment status, sensor data, etc.) generated in the southbound system. These technologies mainly focus on the management of static data and fail to achieve real-time synchronization and intelligent linkage of data. Summary of the Invention

[0003] To solve the existing technical problems, embodiments of the present invention provide a data modeling linkage method and device for new urban construction projects.

[0004] In a first aspect, embodiments of the present application provide a data modeling linkage method for new urban construction projects, including: obtaining various dynamic data generated by a southbound system, and presetting a globally unique identity identification number for each of the dynamic data; based on the preset identity identification number, matching each of the dynamic data with an entity object in a digital city model; establishing a mapping table corresponding to the identity identification number, and the fields in the mapping table can be updated synchronously with the dynamic data.

[0005] Optionally, the various dynamic data at least includes: environmental monitoring data, energy data, and building status data.

[0006] Optionally, after obtaining the various dynamic data generated by the southbound system, it further includes: preprocessing the various dynamic data.

[0007] Optionally, the generation rule of the preset identity identification number is designed based on project requirements.

[0008] Optionally, the fields in the mapping table corresponding to the identity identification number at least include: the identity identification number, timestamp, operating status, and specific parameters.

[0009] Optionally, the method further includes: using the mapping table to synchronize the dynamic data generated by the southbound system and the data in the digital city model.

[0010] Optionally, synchronize the dynamic data generated by the southbound system and the data in the digital city model by using the mapping table, including: automatically triggering the data update in the mapping table according to a preset rule, where the preset rule at least includes: a rule based on a preset time frequency, a rule based on the change of device status, a rule based on the energy management requirement, and / or a rule based on AI intelligent prediction.

[0011] In a second aspect, an embodiment of the present application provides a new urban construction project data modeling linkage device, including: an acquisition module, a matching module, and a synchronization module; the acquisition module is configured to acquire various dynamic data generated by the southbound system, and preset a globally unique identity identification number for each piece of the dynamic data; the matching module is configured to match each piece of the dynamic data with an entity object in the digital city model based on the preset identity identification number; the synchronization module is configured to establish a mapping table corresponding to the identity identification number, and the fields in the mapping table can be updated synchronously with the dynamic data.

[0012] In a third aspect, an embodiment of the present invention provides a computer device, including a processor and a memory, where the memory stores a computer program, and the processor executes the computer program stored in the memory, and when the computer program is executed by the processor, it implements the new urban construction project data modeling linkage method described in the first aspect above.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the new urban construction project data modeling linkage method described in the first aspect above.

[0014] In a fifth aspect, an embodiment of the present application provides a computer program product, when the computer program product runs on a computer device, it causes the computer device to execute the new urban construction project data modeling linkage method described in any item of the first aspect above.

[0015] It can be understood that the beneficial effects of the second aspect to the fifth aspect above can refer to the relevant descriptions in the first aspect, and will not be elaborated here.

[0016] Compared with the prior art, the embodiments of the present application have the following beneficial effects: the dynamic data generated by the southbound system (such as IoT devices, sensors, etc.) can be effectively combined with the static model data in the CIM platform, avoiding the data island phenomenon and realizing the unification and sharing of the global data view; and the real-time synchronization of the dynamic data and the CIM model data can be ensured to avoid the data update lag and affect the decision support and management efficiency, which is particularly suitable for application scenarios that require rapid response. In other words, the embodiments of the present invention enable seamless linkage between different data sources (such as buildings, energy, transportation, etc.) through the newly added data binding and linkage mechanism. This innovative mechanism can ensure the consistency and synchronization between various types of data, thereby greatly improving the efficiency and accuracy of data processing. It improves the data collaboration and decision-making capabilities in new urban construction projects, solves the deficiencies of the prior art in data processing accuracy, real-time performance, system scalability, etc., and has significant technical advantages and economic benefits. These innovations and new components not only enhance the intelligence level of the system, but also promote the efficient operation and maintenance of parks and urban infrastructure and the realization of green and low-carbon goals, which has important positive significance for promoting the development of new smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A flow chart of a new urban construction project data modeling linkage method provided by an embodiment of the present invention is shown;

[0019] Figure 2 A schematic diagram of the structure of a data modeling linkage device for a new urban construction project provided by an embodiment of the present invention is shown;

[0020] Figure 3 A structural schematic diagram of a computer device for executing a new urban construction project data modeling linkage method provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0021] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0022] It should be understood that, as used in the specification of this application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0023] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when", "once", "in response to determining", or "in response to detecting" depending on the context. Similarly, the phrases "if determined" or "if [the described condition or event] is detected" can be interpreted as meaning "once determined", "in response to determining", "once [the described condition or event] is detected", or "in response to detecting [the described condition or event]" depending on the context.

[0025] In addition, in the description of the specification of this application and the appended claims, the terms "first", "second", "third", etc. are only used for differentiating descriptions and cannot be understood as indicating or implying relative importance.

[0026] Reference to "one embodiment" or "some embodiments" etc. described in the specification of this application means that a specific feature, structure or characteristic described in connection with that embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments" etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in another way. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way.

[0027] The inventors have found that existing CIM technologies mainly focus on the management of static data and fail to achieve real-time data synchronization and intelligent linkage. The specific disadvantages are as follows:

[0028] 1. Data islands. The dynamic data of the southbound system in the prior art and the model data of the CIM (City Information Modeling) platform cannot be effectively integrated, resulting in the phenomenon of data islands and making it difficult to form a complete and unified digital platform.

[0029] 2. Lack of real-time performance. It is difficult for existing technologies to achieve real-time update and synchronization of dynamic data and CIM model data, resulting in possible lag of model data and affecting the timeliness and accuracy of data.

[0030] 3. Complex integration. There is a lack of standardized data interfaces and automated integration mechanisms between different systems, resulting in complex integration, high cost, and difficult maintenance between the business platform and the southbound system.

[0031] Therefore, existing technologies cannot meet the requirements of new urban construction projects for data integration, real-time performance, and simplified system integration. The efficient binding and linkage mechanism of dynamic data and CIM model proposed in the embodiments of the present invention is the key to solving these problems.

[0032] The technical solutions in the embodiments of the present application will be described in detail below.

[0033] Figure 1 The flowchart of a data modeling linkage method for new urban construction projects provided by the embodiments of the present invention is shown. As Figure 1 shown, the method includes the following steps 101-103.

[0034] Step 101: Obtain various dynamic data generated by the southbound system, and preset a globally unique identity number for each type of dynamic data.

[0035] In the embodiments of the present invention, the southbound system generally refers to a system that interacts with underlying devices or hardware in the development of the Internet of Things, network architecture, or operating system, such as IoT (Internet of Things) devices, sensors, etc. The embodiments of the present invention can collect dynamic data generated by the southbound system. It can be understood that the dynamic data can be data obtained in real time.

[0036] Before binding various dynamic data generated by the southbound system to the CIM model, it is first necessary to classify and divide the fields of the various dynamic data generated by the southbound system. The various dynamic data generated by the southbound system usually come from different sensors, devices, systems, etc., and these data are of various types. Optionally, the various dynamic data at least include: environmental monitoring data, energy data, and building status data. For example, the environmental monitoring data can be temperature data, humidity data, etc., and the energy data can be power data, load data, carbon emission data, etc., which will not be elaborated here. In order to achieve efficient docking in the future, these data are first classified to ensure that each type of data has a clear definition and standard fields. Define the standard fields for each data category (for example: temperature, humidity, power load, etc.) to ensure that the field formats are consistent and facilitate subsequent data binding and docking operations.

[0037] In addition, a globally unique identity identification number (i.e., a preset ID) needs to be preset for each type of dynamic data, so that different types of dynamic data can be matched with the corresponding entity objects in the digital city model established or extended in the CIM platform. The digital city model covers spatial data at all levels such as buildings, infrastructure, and energy. The preset identity identification number can not only ensure the binding between the data and the CIM model, but also facilitate subsequent data tracking, updating, and management.

[0038] Step 102: Based on the preset identity identification number, match each type of dynamic data with the entity object in the digital city model.

[0039] According to the identity identification number preset in the above step 101, each type of dynamic data can be respectively matched with the entity object in the digital city model one by one by means of data matching and binding using its corresponding identity identification number. For example, the identity identification number of sensor A is A1234. In subsequent operations, all data related to this sensor A can be associated with the corresponding sensor model through ID: A1234.

[0040] Step 103: Establish a mapping table corresponding to the identity identification number, and the fields in the mapping table can be updated synchronously with the dynamic data.

[0041] In the embodiment of the present invention, the dynamic data in the southward system can be associated with the entity objects in the digital city model by establishing a mapping table to form a unified summary list for recording the dynamic data and model data associated with the identity identification number. It can be understood that this mapping table will be dynamically updated as the data changes continuously to ensure that the hardware data (the dynamic data obtained from the southward system) and the software model data always maintain a one-to-one correspondence.

[0042] The data modeling linkage method for new urban construction projects provided in the embodiment of the present invention can effectively combine the dynamic data generated by the southbound system (such as IoT devices, sensors, etc.) with the static model data in the CIM platform, avoid the data island phenomenon, and realize the unification and sharing of the global data view; and can ensure the real-time synchronization of dynamic data and CIM model data, avoid the data update lag and affect the decision support and management efficiency, and is particularly suitable for application scenarios that require rapid response. In other words, the embodiment of the present invention enables seamless linkage between different data sources (such as buildings, energy, transportation, etc.) through the newly added data binding and linkage mechanism. This innovative mechanism can ensure the consistency and synchronization between various types of data, thereby greatly improving the efficiency and accuracy of data processing. It improves the data collaboration and decision-making capabilities in new urban construction projects, solves the deficiencies of existing technologies in data processing accuracy, real-time performance, system scalability, etc., and has significant technical advantages and economic benefits. These innovations and new components not only enhance the intelligence level of the system, but also promote the efficient operation and maintenance of parks and urban infrastructure and the realization of green and low-carbon goals, which has important positive significance for promoting the development of new smart cities.

[0043] Optionally, after the above step 101 of "obtaining a variety of dynamic data generated by the southbound system", the method further includes: preprocessing the various dynamic data, including denoising, cleaning, and standardization, to ensure the consistency and availability of the data.

[0044] Optionally, the preset rules for generating the identity identification number are designed based on project requirements. In an embodiment of the present invention, the identity identification number can be uniformly generated according to project requirements. For example, sensor data can generate an identity identification number ID according to the "device type-device number-installation date" method to ensure uniqueness. According to the generated identity identification number ID, modify the ID information of the corresponding sensor model in the CIM model to ensure correspondence. In this way, in subsequent operations, all data related to the sensor can be associated with the corresponding sensor model through the ID.

[0045] Optionally, the fields in the mapping table corresponding to the identity number include at least: identity number, timestamp, operating status and specific parameters. For example, the mapping table corresponding to the temperature and humidity sensor may contain the fields: ID, timestamp, temperature, humidity, operating status, that is, temperature and humidity represent its specific parameters. This mapping table will be dynamically updated as the data continues to change to ensure that the hardware data and the software model always maintain a one-to-one correspondence. Whenever the southbound data changes, the information of the model object corresponding to the same ID in the CIM model should be updated in real time. For example, the real-time data changes of the temperature and humidity sensor will directly affect the information data of the sensor model in the CIM model.

[0046] Optionally, the method further includes: synchronizing the dynamic data generated by the southbound system and the data in the digital city model by using a mapping table. In the embodiments of the present invention, whenever the dynamic data of the southbound system changes, the information of the model object with the same ID in the CIM model can be updated in real time based on the mapping table corresponding to the corresponding dynamic data. Or, when updating the model data, it can also cause the update of the mapping table, thereby affecting the corresponding devices in the southbound system.

[0047] Optionally, synchronizing the dynamic data generated by the southbound system and the data in the digital city model by using a mapping table includes: automatically triggering the data update in the mapping table according to a preset rule, and the preset rule at least includes: a rule based on a preset time frequency, a rule based on the change of device status, a rule based on the energy management requirement, and / or a rule based on AI intelligent prediction.

[0048] It can be understood that when the preset rule is a rule based on a preset time frequency, the devices in the southbound system can update data according to the preset fixed time frequency, so as to affect the model data based on the mapping table. For example, for a temperature and humidity sensor, the data update can be set to a preset time frequency of once every 30 minutes, and the CIM model data is updated synchronously. Further, every time the southbound dynamic data changes, the system only updates the changed part of the data, rather than a full update. This can improve efficiency and reduce the system burden. For example, when the sensor temperature data changes, only the status of the temperature control device associated with the sensor needs to be updated, rather than the entire model.

[0049] Or, when the preset rule is a rule based on the change of device status, the CIM model data can be manually edited to affect the mapping table, and then affect the status update of the corresponding devices in the southbound system. For example, for an intelligent lighting system, by clicking on the CIM model to modify the lighting status to off, the running status field in the mapping table is affected, and then it is fed back to the southbound lighting device to automatically update the running status to the off state.

[0050] In addition, when the preset rule is a rule based on AI intelligent prediction, artificial intelligence and machine learning can be used, and AI and machine learning algorithms can be used to automatically generate linkage rules through pattern recognition and predictive analysis. AI can learn the model behavior through historical data and predict future trends, so as to automatically adjust the linkage strategy and achieve intelligent decision-making.

[0051] In addition, the embodiments of the present invention also provide a unified API interface through which the business platform can call the bound and linked dynamic data and model data. This ensures that data transfer between different systems is not restricted by platform technologies, reduces development and maintenance costs, and improves the efficiency of system integration. The interface supports calls from different business systems, including business applications in the fields of energy management, intelligent urban management, park management, etc. The API interface parameters are as follows:

[0052] URL: / api / v1 / device / {unique device identifier} / data

[0053] Request method: GET

[0054] Request parameters:

[0055] deviceId (path parameter): The unique identifier of the device.

[0056] timestamp (query parameter, optional): Query data (timestamp) at a specified time point. If not provided, the most recent data will be returned.

[0057] fields (query parameter, optional): Specify the data fields to be queried. Multiple fields are separated by commas. If empty, all fields will be returned. For example, specific business data such as temperature, humidity, etc.

[0058] status (query parameter, optional): The online status of the device (connected, not connected, etc.).

[0059] limit (query parameter, optional): Limit the number of data records returned. The default value is 10.

[0060] start_time (query parameter, optional): The start time of the query (format: yyyy-MM-dd HH:mm:ss).

[0061] end_time (query parameter, optional): The end time of the query (format: yyyy-MM-dd HH:mm:ss).

[0062] Corresponding to the new urban construction project data modeling linkage method described in the above embodiments, Figure 2 The structural block diagram of the new urban construction project data modeling linkage device provided by the embodiments of the present application is shown. For ease of explanation, only parts related to the embodiments of the present application are shown.

[0063] Refer to Figure 2 As shown, the new urban construction project data modeling linkage device includes: an acquisition module 210, a matching module 220, and a synchronization module 230.

[0064] An acquisition module 210, configured to acquire various dynamic data generated by the southbound system, and preset a globally unique identity number for each of the dynamic data.

[0065] A matching module 220, configured to match each of the dynamic data with an entity object in the digital city model based on the preset identity number.

[0066] A synchronization module 230, configured to establish a mapping table corresponding to the identity number, and fields in the mapping table can be updated synchronously with the dynamic data.

[0067] Optionally, the various dynamic data at least includes: environmental monitoring data, energy data, and building status data.

[0068] Optionally, the device further includes: a preprocessing module, configured to preprocess the various dynamic data.

[0069] Optionally, the generation rule of the preset identity number is designed based on project requirements.

[0070] Optionally, the fields in the mapping table corresponding to the identity number at least include: the identity number, timestamp, operating status, and specific parameters.

[0071] Optionally, the device further includes: an update module, configured to synchronize the dynamic data generated by the southbound system and the data in the digital city model by using the mapping table.

[0072] Optionally, the update module includes: an update sub-module; the update sub-module is configured to automatically trigger data update in the mapping table according to a preset rule, and the preset rule at least includes: a rule based on a preset time frequency, a rule based on device status change, a rule based on energy management requirements, and / or a rule based on AI intelligent prediction.

[0073] The device provided in the embodiment of the present invention can effectively combine the dynamic data generated by the southbound system (such as IoT devices, sensors, etc.) with the static model data in the CIM platform, avoid the data island phenomenon, and realize the unification and sharing of the global data view; and can ensure the real-time synchronization of dynamic data and CIM model data, avoid the data update lag and affect the decision support and management efficiency, and is particularly suitable for application scenarios that require rapid response. In other words, the embodiment of the present invention enables seamless linkage between different data sources (such as buildings, energy, transportation, etc.) through the newly added data binding and linkage mechanism. This innovative mechanism can ensure the consistency and synchronization between various types of data, thereby greatly improving the efficiency and accuracy of data processing. It improves the data collaboration and decision-making capabilities in new urban construction projects, solves the deficiencies of existing technologies in data processing accuracy, real-time performance, system scalability, etc., and has significant technical advantages and economic benefits. These innovations and new components not only enhance the intelligence level of the system, but also promote the efficient operation and maintenance of parks and urban infrastructure and the realization of green and low-carbon goals, which has important positive significance for promoting the development of new smart cities.

[0074] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units / modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0075] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0076] An embodiment of the present application also provides a computer device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps of any of the above-mentioned method embodiments when executing the computer program.

[0077] The embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0078] The embodiments of the present application provide a computer program product. When the computer program product runs on a computer device, the computer device can implement the steps in the above-mentioned method embodiments when executed.

[0079] Figure 3 It is a schematic structural diagram of a computer device provided by an embodiment of the present application. As Figure 3 shown, the computer device of this embodiment includes: at least one processor 20 ( Figure 3 only one is shown in the figure), a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20. When the processor 20 executes the computer program 22, the steps in any of the above-mentioned visual programming method embodiments can be implemented.

[0080] The computer device may include, but is not limited to, a processor 20 and a memory 21. Those skilled in the art can understand that Figure 3 this is only an example of a computer device and does not constitute a limitation on the computer device. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0081] The so-called processor 20 may be a central processing unit (CPU), and the processor 20 may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0082] In some embodiments, the memory 21 may be an internal storage unit of the computer device, such as the hard disk or memory of the computer device. In some other embodiments, the memory 21 may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the computer device. Further, the memory 21 may also include both the internal storage unit and the external storage device of the computer device. The memory 21 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as the program code of the computer program. The memory 21 may also be used to temporarily store data that has been output or is to be output.

[0083] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program may be used to instruct relevant hardware to complete. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments may be implemented. Among them, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the device / computer device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium may not be an electrical carrier signal and a telecommunication signal.

[0084] In the above embodiments, the descriptions of the various embodiments each have their own focuses. For parts not detailed or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0085] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0086] In the embodiments provided in this application, it should be understood that the disclosed device / computer equipment and method can be implemented in other ways. For example, the device / computer equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical, or other form.

[0087] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included in the protection scope of this application.

Claims

1. A data modeling linkage method for a new urban construction project, characterized in that: include: Acquire a variety of dynamic data generated by the southbound system, and preset a globally unique identification number for each of the dynamic data; Based on the preset identification number, each of the dynamic data is matched with a physical object in the digital city model; A mapping table corresponding to the identity identification number is established, and the fields in the mapping table can be updated synchronously with the dynamic data.

2. The method according to claim 1, characterized in that The various dynamic data include at least: environmental monitoring data, energy data and building status data.

3. The method according to claim 1, characterized in that After acquiring the multiple dynamic data generated by the southbound system, the method further includes: preprocessing the multiple dynamic data.

4. The method according to claim 1, characterized in that: The preset rules for generating the identity identification number are designed based on project requirements.

5. The method according to claim 1, characterized in that: The fields in the mapping table corresponding to the identity identification number at least include: the identity identification number, timestamp, running status and specific parameters.

6. The method according to claim 1, characterized in that Also includes: The mapping table is used to synchronize the dynamic data generated by the southbound system with the data in the digital city model.

7. The method according to claim 6, characterized in that The step of synchronizing the dynamic data generated by the southbound system and the data in the digital city model by using the mapping table includes: The data update in the mapping table is automatically triggered according to preset rules, and the preset rules include at least: rules based on preset time frequency, rules based on equipment status changes, rules based on energy management needs and / or rules based on AI intelligent prediction.

8. A data modeling linkage device for a new urban construction project, characterized in that: include: Get module, match module and sync module; The acquisition module is used to acquire a variety of dynamic data generated by the southbound system and preset a globally unique identification number for each of the dynamic data; The matching module is used to match each of the dynamic data with a physical object in the digital city model based on the preset identity identification number; The synchronization module is used to establish a mapping table corresponding to the identity identification number, and the fields in the mapping table can be updated synchronously with the dynamic data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer program product, characterized in that When the computer program product is executed on a computer device, the computer device is caused to execute the method according to any one of claims 1 to 7.

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