Business office type park management method, equipment and management platform based on digital twinning

Abstract

The invention belongs to the technical field of computers, and provides a business office type park management method, equipment and a management platform based on digital twinning. The method comprises the following steps: inputting a tenant demand, wherein the tenant demand comprises a purpose category and a tenant area requirement; lease areas corresponding to the purpose categories are marked in a digital twinborn model of the business office type park, and the digital twinborn model comprises lease areas corresponding to more than one purpose category; a plurality of reference areas meeting the area requirements of the tenants are selected from the leasing areas corresponding to the purpose categories; calculating the cost of each reference region by combining the area and the energy consumption cost of each reference region; and marking the cost of each reference area in the digital twin model. The invention also discloses a management platform, a computer program product and an electronic device. The method can quickly and accurately obtain the cost of the reference area, assists a manager in decision making, and improves the management efficiency.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular, to a management method, device and management platform for commercial and office parks based on digital twins. Background Art

[0002] Commercial and office parks include large commercial centers, complexes, office buildings, commercial buildings, etc., and usually adopt a rental service model. The asset carrier spaces in commercial and office parks, such as offices, advertising spaces, event venues, shops, etc., are mostly large open spaces rather than single rooms. Each time when renting, the space range needs to be randomly combined or split according to the tenant's needs. The management side cannot obtain the cost of the leased area with the help of historical data of the leased area, and mostly determines it according to experience or simply according to the area, without considering the decoration level, building depreciation, equipment energy consumption cost, etc., which is not accurate. Therefore, for the management side of commercial and office parks to quickly and accurately obtain the cost of the tenant's leased area is beneficial for it to gain an advantageous position in business negotiations. Summary of the Invention

[0003] This application aims to at least solve the technical problems existing in the related art, and provides a management method, device and management platform for commercial and office parks based on digital twins.

[0004] In a first aspect, this application provides a management method for commercial and office parks based on digital twins, including: inputting tenant requirements, where the tenant requirements include the use category and the tenant's area requirement; marking the leased area corresponding to the use category in the digital twin model of the commercial and office park, where the digital twin model includes leased areas corresponding to more than one use category respectively; selecting multiple reference areas that meet the tenant's area requirement from the leased area corresponding to the use category; calculating the cost of each reference area by combining the area and energy consumption cost of each reference area; and marking the cost of each reference area in the digital twin model.

[0005] In the above technical solution: the management side selects multiple reference areas that are intended to be leased out from the leased areas in the pre-constructed digital twin model of the commercial and office park according to the tenant's requirements, so that the reference areas are more in line with the management side's wishes. Based on the digital twin model, the area of the reference areas can be quickly calculated and the energy consumption cost of the reference areas can be obtained, and the cost of each reference area can be calculated accordingly. The calculated cost is marked in the digital twin model so that the management side can observe it to assist its decision-making on the reference areas recommended to the tenant. This application can quickly and accurately obtain the cost of the reference areas, assist the management side in decision-making, and improve management efficiency.

[0006] In a preferred embodiment of the present application, calculating the cost of each reference area by combining the area and energy consumption cost of each reference area includes: determining the area of each reference area according to the boundary of each reference area in the digital twin model; multiplying the area of each reference area by the building cost conversion coefficient to obtain the building conversion cost, multiplying the area of each reference area by the decoration cost coefficient to obtain the decoration cost, and multiplying the area of each reference area by the public management coefficient to obtain the public management cost; querying the energy consumption cost of the cell from the energy consumption cost database according to the cell ID of the cell in each reference area, and summing the energy consumption costs of all cells in each reference area to obtain the energy consumption cost of each reference area; wherein, the rental areas corresponding to all use categories in the digital twin model are divided into multiple cells, and each cell has a unique cell ID; summing the building conversion cost, decoration cost, public management cost and energy consumption cost of each reference area to obtain the cost of each reference area.

[0007] The above technical solution: divides the cost of the reference area into building depreciation cost, decoration cost, public management cost and energy consumption cost, making the cost of the reference area more comprehensive and accurate; the rental area is divided into multiple cells, and the energy consumption cost of each cell is queried according to the pre-constructed energy consumption cost database, and then the energy consumption costs of all cells in each reference area are summed to obtain the energy consumption cost of each reference area. In this way, the obtained energy consumption cost of the reference area is more accurate, avoiding the chaos caused by traditional average sharing, and the energy consumption cost of the cell is obtained more simply through the query method, which can be adapted to all rental areas and improves the management efficiency.

[0008] In a preferred embodiment of the present application, the energy consumption cost database includes: an energy consumption cost mapping tree set, one energy consumption cost mapping tree corresponds to one cell, one energy consumption cost mapping tree includes a root node and more than one leaf node under the root node, the leaf node of the energy consumption cost mapping tree represents an energy-consuming device associated with the cell corresponding to the energy consumption cost mapping tree, the root node attribute includes the cell ID, and the leaf node attributes include the energy-consuming device ID, monthly energy consumption cost and ratio; an accounting unit, querying the corresponding energy consumption cost mapping tree from the energy consumption cost mapping tree set through the cell ID, for the queried energy consumption cost mapping tree, multiplying the monthly energy consumption cost and ratio of the leaf node to obtain the energy consumption cost of the leaf node, and cumulatively summing the energy consumption costs of all leaf nodes of the queried energy consumption cost mapping tree to obtain the energy consumption cost of the cell corresponding to the queried energy consumption cost mapping tree.

[0009] The above technical solution: In the energy consumption cost database, an energy consumption cost mapping tree set is used to store the energy consumption cost information of cells. The cells are represented by the energy consumption cost mapping tree. When adding, deleting, or changing associated devices, only the attribute information of the leaf nodes needs to be changed, which is convenient for modification and does not affect the working efficiency of the accounting unit, improving the energy consumption cost calculation efficiency and the management efficiency.

[0010] In a preferred embodiment of the present application, the monthly energy consumption cost attribute of the leaf node is associated with the energy consumption cost table of the energy-consuming device corresponding to the leaf node.

[0011] The above technical solution: When the energy consumption cost value of the energy-consuming device changes, there is no need to modify the accounting unit or the energy consumption cost mapping tree, and the output result of the accounting unit automatically follows the change.

[0012] In a preferred embodiment of the present application, the step of multiplying the area of each reference area by the decoration cost coefficient to obtain the decoration cost includes: obtaining the decoration levels associated with all cells in each reference area; taking the median of the decoration levels associated with all cells in the reference area as the decoration level of each reference area; multiplying the area of each reference area by the decoration cost coefficient corresponding to the decoration level of each reference area to obtain the decoration cost.

[0013] The above technical solution: There may be multiple decoration level situations in the reference area. The decoration level of the reference area obtained by taking the median of the decoration levels associated with all cells in the reference area is more objective and accurate.

[0014] In a preferred embodiment of the present application, the method further includes: estimating the income of each reference area, obtaining the return on investment of each reference area according to the ratio of the income and cost of each reference area; recommending one or more reference areas to the tenant according to the return on investment of the reference area.

[0015] The above technical solution: Facilitates the decision-making of the management party.

[0016] In a preferred embodiment of the present application, the estimating the income of each reference area includes: obtaining the feature set of each reference area, where the feature set includes the minimum number of people, the maximum number of people, the usage category, the decoration level, the cost, and the area; matching the feature set of each reference area with the feature set of the leased area to obtain the leased matching area of each reference area; taking the rent in the lease contract of the leased matching area of each reference area as the income of each reference area.

[0017] The above technical solution: Obtaining the leased matching area according to the feature dimensions such as the usage category, the decoration level, the cost, and the area, and taking the income of the leased matching area as the income of each reference area can improve the reference value of the return on investment.

[0018] Second aspect, the present application provides a management platform based on the digital-twin-based commercial and office park management method provided in the first aspect, including: an input module for inputting tenant requirements, where the tenant requirements include usage categories and tenant area requirements; a display operation module connected to the input module for marking the rental areas corresponding to the usage categories in the digital-twin model of the commercial and office park, where the digital-twin model includes rental areas corresponding to one or more usage categories; further for selecting multiple reference areas that meet the tenant area requirements in the rental areas corresponding to the usage categories; further for marking the cost of each reference area in the digital-twin model; a calculation module connected to the display operation module for calculating the cost of each reference area by combining the area and energy consumption cost of each reference area.

[0019] Third aspect, the present application provides a computer program product, including a computer program, which when executed by a processor implements the steps of the digital-twin-based commercial and office park management method described in the first aspect.

[0020] Fourth aspect, the present application provides an electronic device, the electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the digital-twin-based commercial and office park management method as described in the first aspect. Description of the Drawings

[0021] Figure 1 is a schematic flowchart of the digital-twin-based commercial and office park management method in a preferred embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of an energy consumption cost mapping tree in an example of the present invention;

[0023] Figure 3 is a schematic internal structure diagram of the management platform in a preferred embodiment of the present invention;

[0024] Figure 4 is a schematic structure diagram of the electronic device in a preferred embodiment of the present invention. Detailed Embodiments

[0025] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0026] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0027] In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it may be a mechanical connection or an electrical connection, or it may be the communication inside two elements. It may be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0028] The execution subject of the commercial and office park management method based on digital twin includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiments of the present application. In other words, the commercial and office park management method based on digital twin can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0029] The present invention discloses a commercial and office park management method based on digital twin. In a preferred embodiment, as Figure 1 shown, the commercial and office park management method includes:

[0030] Step S1, input tenant requirements, where the tenant requirements include the usage category and the tenant area requirement. The usage category includes catering, clothing, office, etc., and the tenant area requirement is the area that the tenant expects to rent, such as about 20 square meters, about 100 square meters, etc. The tenant requirements can be manually input via the keyboard or input via voice.

[0031] Step S2, mark the rental areas corresponding to the use categories in the digital twin model of the commercial and office park. The digital twin model includes rental areas corresponding to more than one use category. Specifically, it is not limited to pre - constructing the digital twin model of the commercial and office park using software such as Feidu (DTS) or Glodon Digital Twin Platform. In the digital twin model, a corresponding rental area is divided for each use category. After obtaining the use category in step S1, all or the boundaries of the rental area corresponding to the use category are highlighted in the digital twin model for easy display to relevant personnel.

[0032] Step S3, select multiple reference areas that meet the tenant area requirements within the rental area corresponding to the use category. Specifically, when using the selection tool, the area of the selected area is displayed during the selection process so that relevant personnel can quickly select the area that matches the tenant's area requirements.

[0033] Step S4, calculate the cost of each reference area by combining the area and energy consumption cost of each reference area. The area of the reference area determines the size of its building depreciation, decoration, public management, etc. costs. Public management includes expenses such as property, taxes, maintenance, and common area management. The energy consumption cost can be calculated monthly or quarterly, including the energy consumption cost of the energy - using equipment in the reference area and the energy consumption cost of the public equipment such as public heating, public cooling, and public ventilation shared by the reference area.

[0034] Step S5, mark the cost of each reference area in the digital twin model.

[0035] In this embodiment, specifically, it can be marked by highlighting the cost in the digital twin model to assist relevant personnel in making decisions to recommend more than one reference area to the tenant.

[0036] In a preferred embodiment, step S4 can also be replaced by: using the weighted average algorithm, combining the costs of multiple known - cost areas to calculate the cost of each reference area. Suppose T reference areas are selected, then the cost C t of the t - th reference area is calculated by the formula:

[0037]

[0038] where w i ' represents the calculation weight of the i'-th known - cost area among n' known - cost areas, and C i ' represents the cost of the i'-th known - cost area among n' known - cost areas. The calculation process of w i ' is as follows:

[0039] Obtain the distances between the cost feature sets of n' known cost regions and the cost feature set of the t-th reference region respectively. The cost feature set includes at least use category, decoration grade, and area. The distance between the cost feature set of the i'-th known cost region and the cost feature set of the t-th reference region is as follows:

[0040]

[0041] X t,k represents the normalized value of the k-th cost feature of the t-th reference region, X i ' ,k represents the normalized value of the k-th cost feature of the i'-th known cost region.

[0042] In a preferred embodiment, to make the cost of the reference region more comprehensive and accurate, and at the same time improve management efficiency. In step S4, calculate the cost of each reference region by combining the area and energy consumption cost of each reference region, including:

[0043] Step S41, determine the area of each reference region according to the boundary of each reference region in the digital twin model. Specifically, obtain the boundary of each reference region, and calculate the area of each reference region according to the position coordinates of the points within the boundary in the digital twin model. The grid method or the segmentation method can be used to calculate the area of each reference region.

[0044] Step S42, multiply the area of each reference region by the building cost conversion coefficient to obtain the building conversion cost, multiply the area of each reference region by the decoration cost coefficient to obtain the decoration cost, and multiply the area of each reference region by the public management coefficient to obtain the public management cost.

[0045] The management party can customize and determine the building cost conversion coefficient k s , in yuan per square meter, the building conversion cost C S = S·k s , S represents the area of the reference region.

[0046] Preferably, there is more than one decoration grade for the rental areas corresponding to different use categories. For each decoration grade of each use category, the management party can customize and set the size of the corresponding decoration cost coefficient according to the actual decoration cost, in yuan per square meter. Each sub-region in the rental area of each use category may correspond to different decoration grades under this use category. Therefore, in the step of multiplying the area of each reference region by the decoration cost coefficient to obtain the decoration cost in step S42, it is first necessary to determine the decoration grade of the reference region under the use category required by the tenant, and then multiply the area of the reference region by the decoration cost coefficient C corresponding to the determined decoration grade z to obtain the decoration cost C of the reference region z = S·kz .

[0047] The administrator can set the size C of the public management coefficient according to the public management input cost g , with the unit of yuan per square meter, and the public management cost C g = S·k g . The public management coefficient is determined comprehensively according to the historical data of property management, taxation and public facility maintenance costs.

[0048] Step S43: Query the energy consumption cost of each cell from the energy consumption cost database according to the cell ID of the cell in each reference area, and sum up the energy consumption costs of all cells in each reference area to obtain the energy consumption cost of each reference area; among them, the rental areas corresponding to all usage categories in the digital twin model are divided into multiple cells, and each cell has a unique cell ID.

[0049] In the digital twin model, the rental areas corresponding to all usage categories are pre-gridded, divided into multiple cells, and a unique cell ID is set for each cell. The size of the cell can be set as needed, and the area of the cell is not limited to being set to be greater than or equal to 1 square meter. Suppose there are n complete cells and m incomplete cells (incomplete cells caused by the reference area boundary) in the reference area, then the energy consumption cost of the reference area where n and m are both integers greater than or equal to 0, s i represents the energy consumption cost of the i-th complete cell, s j represents the energy consumption cost of the j-th incomplete cell, γ j represents the ratio of the area of the j-th incomplete cell to the area of a complete cell. Both i and j are positive integers.

[0050] Step S44: Sum up the building conversion cost, decoration cost, public management cost and energy consumption cost of each reference area to obtain the cost of each reference area.

[0051] Suppose T reference areas are selected, then the cost C of the t-th reference area t = C S + C z + C g + C y , where t ∈ [1, T], and both T and t are positive integers.

[0052] In a preferred implementation, to further improve the efficiency of energy consumption cost calculation and management, as Figure 3 shown, the energy consumption cost database includes:[[]]

[0053] A set of energy consumption cost mapping trees, with one energy consumption cost mapping tree corresponding to one cell, as Figure 2As shown in the figure, an energy consumption cost mapping tree includes a root node and more than one leaf node under the root node. The leaf nodes of the energy consumption cost mapping tree represent an energy-consuming device associated with the cell corresponding to the energy consumption cost mapping tree. The root node attributes include the cell ID, and the leaf node attributes include the energy-consuming device ID, monthly energy consumption cost, and ratio. The energy consumption cost mapping tree is a data structure that associates cells with the energy consumption costs of energy-consuming devices in a tree structure.

[0054] For an accounting unit, the corresponding energy consumption cost mapping tree is queried from the set of energy consumption cost mapping trees through the cell ID. For the queried energy consumption cost mapping tree, the monthly energy consumption cost and ratio of the leaf nodes are multiplied to obtain the energy consumption cost of the leaf nodes, and the energy consumption costs of all leaf nodes of the queried energy consumption cost mapping tree are cumulatively summed to obtain the energy consumption cost of the cell corresponding to the queried energy consumption cost mapping tree.

[0055] In this embodiment, the energy-consuming device ID in the leaf node attributes refers to the ID number (unique) of the energy-consuming device associated with the cell corresponding to the energy consumption cost mapping tree to which it belongs. The monthly energy consumption cost in the leaf node attributes refers to the monthly energy consumption cost of the energy-consuming device corresponding to the energy-consuming device ID. Generally, the ratio in the leaf node attributes can be the ratio of the area of the cell corresponding to the energy consumption cost mapping tree to which the leaf node belongs to the area of the effective working range of the energy-consuming device. If the energy-consuming device is a device in the reference area, the area of the effective working range of the energy-consuming device is the area of the reference area. If the energy-consuming device is not in the reference area and is a common energy-consuming device, the area of the effective working range of the energy-consuming device can be its working coverage area or the total area of all leased areas within the working coverage area of the energy-consuming device. For example, if a certain floor in a commercial and office park uses a central air-conditioning system, the area of the effective working range of the central air-conditioning system can be the total area of the floor or the total area of all leased areas on the floor.

[0056] For the z-th cell (which can be a complete cell or an incomplete cell) in the reference area, in the energy consumption cost mapping tree corresponding to the z-th cell, when the energy-consuming device associated with the ω-th leaf node is a device in the reference area, the ratio where s d represents the area of the cell, num r represents the number of devices in the reference area that have the same device as the energy-consuming device associated with the ω-th leaf node, num r is a positive integer, S represents the area of the reference area, and the devices in the reference area are preferably but not limited to electric lights and indoor electric fans. When the energy-consuming device associated with the ω-th leaf node is a common energy-consuming device, the ratio S o represents the service area area of the common energy-consuming device, and the common energy-consuming devices include central air-conditioning, fresh air fans, etc. Therefore, the energy consumption cost corresponding to the z-th cell is: represents the number of leaf nodes of the energy consumption cost mapping tree corresponding to the z-th cell, s ω represents the monthly energy consumption cost of the energy-consuming device associated with the ω-th leaf node. ρ ω represents the ratio of the energy-consuming device associated with the ω-th leaf node. ω is a positive integer; 1 ≤ ω ≤ W.

[0057] In a preferred embodiment, the monthly energy consumption cost attribute of the leaf node is associated with the energy consumption cost table of the energy-consuming device corresponding to the leaf node. Specifically, the monthly energy consumption cost attribute of the leaf node can be the storage address of the energy consumption cost table of the corresponding energy-consuming device.

[0058] In a preferred embodiment, in step S42, the step of multiplying the area of each reference area by the decoration cost coefficient to obtain the decoration cost includes:

[0059] Step S421, obtaining the decoration levels associated with all cells in each reference area. The decoration levels preferably but not limited to include three levels, namely the roughcast level, the simple decoration level, and the fine decoration level.

[0060] Step S422, taking the median of the decoration levels associated with all cells in the reference area as the decoration level of each reference area.

[0061] Step S423, multiplying the area of each reference area by the decoration cost coefficient corresponding to the decoration level of each reference area to obtain the decoration cost.

[0062] In a preferred embodiment, to more conveniently assist the decision-making of the management party, the above method further includes:

[0063] Step S6, estimating the income of each reference area, and obtaining the return on investment of each reference area according to the ratio of the income and cost of each reference area.

[0064] Preferably, the income of each reference area can be estimated with reference to the weighted average algorithm for calculating the cost of the reference area in step S4.

[0065] Step S7, recommending one or more reference areas to the tenant according to the return on investment of the reference area. Specifically, the top three reference areas with the return on investment can be recommended to the tenant.

[0066] In a preferred embodiment, to enhance the reference value of the return on investment, in step S6, the step of estimating the income of each reference area includes:

[0067] Step S61, obtaining the feature set of each reference area, where the feature set includes the minimum number of people, the maximum number of people, the usage category, the decoration level, the cost, and the area;

[0068] Step S62: Match the feature set of each reference area with the feature set of the leased area to obtain the leased matching area of each reference area.

[0069] Step S63: Take the rent in the lease contract of the leased matching area of each reference area as the income of each reference area.

[0070] In this embodiment, the minimum number of people in the feature set represents the average minimum passing number per month or per day of the reference area or the leased area, and the maximum number of people in the feature set represents the average maximum passing number per month or per day of the reference area or the leased area.

[0071] The minimum number of people and the maximum number of people can be manually counted or obtained by means of computer vision technology. When using computer vision technology: a people detection module is respectively set corresponding to the reference area and the leased area, and the people detection module is used to obtain the minimum number of people and the maximum number of people. The people detection module preferably but not limited to includes a camera installed in the reference area or the leased area and an image processing module. The image of the reference area or the leased area is captured by the camera, and the image processing module performs human target recognition and tracking on the image captured by the camera and records the number of human targets recognized per month or per day. The image processing module preferably but not limited to is an existing object detection network or instance segmentation network, such as the YOLO series.

[0072] In this embodiment, in step S62, for each reference area, let the feature set of the reference area be F1 and the feature set of the leased area be F2, calculate the matching degree between F1 and F2, and select the leased area with the highest matching degree as the leased matching area of the reference area.

[0073] Preferably, the calculation process of the matching degree between F1 and F2 includes: comparing each item element of F1 and F2 to obtain the corresponding matching value for each item element: if the usage categories of F1 and F2 are the same, the usage category matching value is 0, otherwise the usage category matching value is 1; if the decoration grades of F1 and F2 are the same, the decoration grade matching value is 0, otherwise the decoration grade matching value is 1; the cost matching value between F1 and F2 is |F 13 -F 23 | represents the absolute value of the difference between the cost F 13 of F1 and the cost F 23 of F2; the area matching value between F1 and F2 is |F 14 -F 24 | represents the absolute value of the difference between the area F 14 of F1 and the area F 24 of F2; sum the usage category matching value, the decoration grade matching value, the cost matching value and the area matching value to obtain the total matching value M, and take (Q - M) as the matching degree between F1 and F2, where Q is a positive constant.

[0074] The present invention also discloses a management platform based on the above-mentioned digital-twin-based commercial and office park management method, as Figure 3 shown, including:

[0075] An input module for inputting tenant requirements, where the tenant requirements include usage categories and tenant area requirements. The input module is preferably but not limited to a touch screen, a keyboard, or a voice recognition module.

[0076] A display operation module connected to the input module, configured to mark the rental areas corresponding to the usage categories in the digital-twin model of the commercial and office park, where the digital-twin model includes rental areas corresponding to more than one usage category; further configured to select multiple reference areas that meet the tenant area requirements in the rental areas corresponding to the usage categories; and further configured to mark the cost of each reference area in the digital-twin model. The display operation module preferably includes a display and a display controller.

[0077] A calculation module connected to the display operation module, configured to calculate the cost of each reference area by combining the area and energy consumption cost of each reference area.

[0078] The present invention also discloses a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-mentioned digital-twin-based commercial and office park management method provided by the present invention. The computer program product should be understood as a software product that mainly implements its solution through a computer program, such as a program product integrated in the cloud or a software library.

[0079] The present invention also discloses an electronic device. In one embodiment, the electronic device includes at least one processor; and a memory communicatively connected to the at least one processor; wherein,

[0080] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the digital-twin-based commercial and office park management method provided by the present invention.

[0081] As Figure 4 shown, it is a schematic structural diagram of an electronic device for the digital-twin-based commercial and office park management method provided by an embodiment of the present invention. The electronic device may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as a digital-twin-based commercial and office park management method program.

[0082] Among them, in some embodiments, the processor 10 may be composed of an integrated circuit. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple packaged integrated circuits with the same or different functions, including the combination of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and circuits, and by running or executing programs or modules stored in the memory 11 (such as executing the digital twin-based commercial park management method, etc.), and calling the data stored in the memory 11, to execute various functions of the electronic device and process data.

[0083] The memory 11 includes at least one type of readable storage medium. The readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device, such as the mobile hard disk of the electronic device. In some other embodiments, the memory 11 may also be an external storage device of the electronic device, such as a plug-in mobile hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the electronic device. Further, the memory 11 may also include both the internal storage unit and the external storage device of the electronic device. The memory 11 can not only be used to store application software installed on the electronic device and various types of data, such as the code of the digital twin-based commercial park management method program, etc., but also be used to temporarily store data that has been output or will be output.

[0084] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is set to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0085] The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is generally used to establish a communication connection between this electronic device and other electronic devices. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, and is used to display the information processed in the electronic device and to display a visual user interface.

[0086] Figure 4 Only the electronic device with components is shown. Those skilled in the art can understand that Figure 4 The shown structure does not constitute a limitation on the electronic device, and may include fewer or more components than shown, or combine some components, or have different component arrangements.

[0087] For example, although not shown, the electronic device may further include a power source (such as a battery) for powering each component. Preferably, the power source may be logically connected to at least one processor 10 through a power management device, so as to implement functions such as charge management, discharge management, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or an inverter, and a power status indicator. The electronic device may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0088] It should be understood that the embodiments are only for illustration purposes and are not limited by this structure in the scope of the patent application.

[0089] Furthermore, if the integrated module / unit of the electronic device 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. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0090] In the description of this specification, the descriptions with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", "one implementation manner", "one preferred implementation manner", or "some examples", etc., mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0091] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A commercial park management method based on digital twins, characterized in that: include: Enter tenant requirements, including use categories and tenant area requirements; In the digital twin model of the commercial and office park, the leasing areas corresponding to the use categories are marked, wherein the digital twin model includes leasing areas corresponding to more than one use category; Select multiple reference areas that meet the tenant area requirements in the rental area corresponding to the use category; Calculate the cost of each reference area by combining the area and energy cost of each reference area; The cost of each reference area is indicated in the digital twin model.

2. The commercial park management method based on digital twins according to claim 1, characterized in that: The cost of each reference area is calculated by combining the area and energy consumption cost of each reference area, including: Determine the area of ​​each reference zone according to its boundaries in the digital twin model; The area of ​​each reference area is multiplied by the construction cost conversion coefficient to obtain the construction conversion cost, the area of ​​each reference area is multiplied by the decoration cost coefficient to obtain the decoration cost, and the area of ​​each reference area is multiplied by the public management coefficient to obtain the public management cost; The energy consumption cost of each cell in each reference area is queried from the energy consumption cost database according to the cell ID of each cell in the reference area, and the energy consumption cost of all cells in each reference area is summed up to obtain the energy consumption cost of each reference area; wherein, the rental areas corresponding to all use categories in the digital twin model are divided into multiple cells, and each cell has a unique cell ID; The cost of each reference area is obtained by summing up the building discounted cost, decoration cost, public management cost and energy consumption cost of each reference area.

3. The commercial park management method based on digital twins according to claim 2, characterized in that: The energy consumption cost database includes: Energy cost mapping tree set, one energy cost mapping tree corresponds to one cell, one energy cost mapping tree includes one root node and one or more leaf nodes under the root node, the leaf node of the energy cost mapping tree represents an energy-consuming device associated with the cell corresponding to the energy cost mapping tree, the root node attributes include the cell ID, the leaf node attributes include the energy-consuming device ID, the monthly energy cost and the ratio; The accounting unit queries the corresponding energy consumption cost mapping tree from the energy consumption cost mapping tree set through the cell ID. For the queried energy consumption cost mapping tree, the monthly energy consumption cost and ratio of the leaf node are multiplied to obtain the energy consumption cost of the leaf node. The energy consumption costs of all leaf nodes of the queried energy consumption cost mapping tree are cumulatively summed to obtain the energy consumption cost of the corresponding cell of the queried energy consumption cost mapping tree.

4. The commercial park management method based on digital twins according to claim 3 is characterized in that: The monthly energy consumption cost attribute of the leaf node is associated with the energy consumption cost table of the energy-consuming equipment corresponding to the leaf node.

5. The commercial park management method based on digital twins according to claim 2, characterized in that: The step of multiplying the area of ​​each reference area by the decoration cost coefficient to obtain the decoration cost comprises: Get the decoration level associated with all cells in each reference area; The median of the decoration levels associated with all cells in the reference area is taken as the decoration level of each reference area; The decoration cost is obtained by multiplying the area of ​​each reference area by the decoration cost coefficient corresponding to the decoration level of each reference area.

6. The commercial park management method based on digital twins according to claim 2, characterized in that: The method further comprises: Estimate the income of each reference area and obtain the return on investment of each reference area based on the ratio of income to cost of each reference area; Recommend more than one reference area to the tenant based on the return on investment of the reference area.

7. The commercial park management method based on digital twins according to claim 6 is characterized in that: The estimated income for each reference area includes: Obtain a feature set for each reference area, the feature set including minimum number of people, maximum number of people, use category, decoration level, cost and area; Matching the feature set of each reference area with the feature set of the leased area to obtain the leased matching area of ​​each reference area; The rent from the lease contracts of the leased matching areas in each reference zone is taken as the income of each reference zone.

8. A management platform for a commercial park management method based on digital twins according to any one of 1 to 7, characterized in that: include: Input module, input tenant requirements, tenant requirements include use category and tenant area requirements; A display operation module, connected to the input module, is used to mark the leased area corresponding to the use category in the digital twin model of the commercial and office park, wherein the digital twin model includes more than one leased area corresponding to each use category; it is also used to select multiple reference areas that meet the tenant area requirements in the leased area corresponding to the use category; it is also used to mark the cost of each reference area in the digital twin model; The calculation module is connected to the display operation module and is used to calculate the cost of each reference area in combination with the area and energy consumption cost of each reference area.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the commercial park management method based on digital twins described in any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, A memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the commercial park management method based on digital twins as described in any one of claims 1 to 7.

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