Intelligent building management method and system based on artificial intelligence

Abstract

The artificial intelligence-based intelligent building management method and system provided in the present application can mine the different states of building management items, the connection between different states in the same building management item, and analyze the item operations of building management items in the intelligent building operation record, so as to determine at least one building management item covered by the intelligent building operation record and the target item operation keywords of each building management item in at least one building management item. The duration of the above-mentioned item operation analysis has no relationship with the number of building management items covered in the intelligent building operation record, and will not cause the processing time to be extended due to the increase in the number of building management items. It can save the processing overhead of the intelligent building operation record to a certain extent and maximize the mining efficiency of building management items.

Description

Technical Field

[0001] The present application relates to the technical field of building data management, and more specifically, to an intelligent building management method and system based on artificial intelligence. Background Art

[0002] Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. With the development of artificial intelligence, artificial intelligence has gradually entered our lives and has been applied to various fields. It has not only brought huge economic benefits to many industries, but also brought many changes and conveniences to our lives.

[0003] Intelligent building refers to the optimization of the structure, system, service and management of the building according to the needs of users, so as to provide users with an efficient, comfortable and convenient humanized building environment. Intelligent building is a product of modern science and technology. Its technical foundation is mainly composed of modern construction technology, modern computer technology, modern communication technology and modern control technology. At present, the combination of artificial intelligence and intelligent building can further improve the intelligent management of intelligent buildings. However, in the actual application process, the inventor found that in the process of intelligent building management, how to effectively save processing overhead and reduce processing time is a technical problem that needs to be improved. Summary of the invention

[0004] In view of this, the present application provides an intelligent building management method and system based on artificial intelligence.

[0005] In a first aspect, an intelligent building management method based on artificial intelligence is provided, which is applied to an intelligent building management system, and the method at least comprises:

[0006] Determine the intelligent building operation record; mine the different states of building management items, the connection between different states in the same building management item, and analyze the item operations of the building management items on the intelligent building operation record, and determine at least one building management item covered by the intelligent building operation record and target item operation keywords for each of the at least one building management item.

[0007] In an independently implemented embodiment, the building management matters include a safety production project, and the different states of the building management matters include a local production task and a global production task of the safety production project;

[0008] The mining of different states of building management items, the connection of different states in the same building management item, and item operation analysis of the building management items on the intelligent building operation record, and determining at least one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the at least one building management item, include:

[0009] Determine the local production task distribution of each safety production project and the global production task distribution of each safety production project on the intelligent building operation record;

[0010] Linking the local production task distribution and the global production task distribution belonging to the same production safety project;

[0011] Based on the related local production task distribution and the global production task distribution, determine at least one safe production project covered by the intelligent building operation record and the target item operation keywords of each safe production project in the at least one safe production project.

[0012] In an independently implemented embodiment, the linking of the local production task distribution and the global production task distribution belonging to the same production safety project includes:

[0013] Determine a template global production task distribution corresponding to each local production task distribution;

[0014] Based on the template global production task distribution and the global production task distribution, the local production task distribution and the global production task distribution belonging to the same safe production project are linked.

[0015] In an independently implemented embodiment, determining the template global production task distribution corresponding to each local production task distribution includes:

[0016] Determine, on the intelligent building operation record, a first task distribution quantitative description corresponding to each local production task distribution;

[0017] Based on the set task feature and the first task distribution quantitative description, respectively determine the second task distribution quantitative description; wherein the set task feature is a visual feature that points from the distribution situation corresponding to the local production task to the distribution situation corresponding to the global production task;

[0018] The second task distribution is quantified and described as the template global production task distribution.

[0019] In an independently implemented embodiment, the local production task distribution and the global production task distribution belonging to the same safe production project are linked based on the template global production task distribution and the global production task distribution, including: taking the global production task distribution with the smallest difference from the template global production task distribution and the local production task distribution corresponding to the template global production task distribution as the linked local production task distribution and the global production task distribution.

[0020] In an independently implemented embodiment, the determining of at least one safe production project covered by the intelligent building operation record and the target item operation keyword of each safe production project in the at least one safe production project based on the connection between the local production task distribution and the global production task distribution includes:

[0021] Using at least one of the linked local production task distribution and the global production task distribution as the distribution of each safe production project covered by the intelligent building operation record, and determining the at least one safe production project covered by the intelligent building operation record;

[0022] Determining a plurality of salient visual descriptions based on the associated local production task distribution and the global production task distribution;

[0023] Based on the multiple significant visual descriptions, the target item operation keywords of each of the at least one production safety project are determined.

[0024] In an independently implemented embodiment, the determining a plurality of salient visual descriptions based on the local production task distribution and the global production task distribution in contact includes:

[0025] Determine the significant visual descriptions of the global production task distribution that respectively corresponds to at least one setting item operation keyword and is pointed to and linked by the local production task distribution, and obtain the multiple significant visual descriptions.

[0026] In an independently implemented embodiment, determining the target item operation keyword of each of the at least one production safety project based on the multiple significant visual descriptions includes:

[0027] Performing dimensionless simplification on a plurality of significant visual descriptions corresponding to each of the production safety items to obtain a dimensionless simplified result of each significant visual description;

[0028] The significant visual description corresponding to the highest dimensionless simplified result of each of the production safety items is used as the target significant visual description of each of the production safety items;

[0029] The item operation keywords corresponding to the target saliency visual description are used as the target item operation keywords for each production safety project.

[0030] In an independently implemented embodiment, the mining of different states of building management items, the connection of different states in the same building management item, and item operation analysis of the building management items on the intelligent building operation record, and determining at least one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the at least one building management item include:

[0031] After determining the target distribution of each state of each building management matter on the intelligent building operation record through the building management matter mining network, the target distributions of different states belonging to the same building management matter are linked;

[0032] By mining the target distribution of different states of connection based on the building management matter network, at least one building management matter covered by the intelligent building operation record and the target matter operation keywords of each of the at least one building management matter are determined.

[0033] In a second aspect, an artificial intelligence-based intelligent building management system is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0034] The artificial intelligence-based intelligent building management method and system provided in the embodiment of the present application can mine the different states of building management items, the connection between different states in the same building management item, and the item operation analysis of the building management items in the intelligent building operation record, so as to determine at least one building management item covered by the intelligent building operation record and the target item operation keywords of each building management item in at least one building management item. The duration of the above-mentioned item operation analysis has no relationship with the number of building management items covered in the intelligent building operation record, and will not cause the processing time to be extended due to the increase in the number of building management items. It can save the processing overhead of the intelligent building operation record to a certain extent and maximize the mining efficiency of building management items. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flowchart of an intelligent building management method based on artificial intelligence provided in an embodiment of the present application.

[0037] Figure 2 A block diagram of an artificial intelligence-based intelligent building management device provided in an embodiment of the present application.

[0038] Figure 3 An architecture diagram of an artificial intelligence-based intelligent building management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0040] See also Figure 1 , shows an intelligent building management method based on artificial intelligence, which may include the technical solutions described in steps 100 and 200.

[0041] Step 100, determining the intelligent building operation record.

[0042] Step 200, mining different states of building management items, connections between different states of the same building management item, and analyzing item operations of building management items are performed on the intelligent building operation record to determine at least one building management item covered by the intelligent building operation record and target item operation keywords for each of the at least one building management item.

[0043] It can be understood that when executing the contents described in the above steps 100 and 200, the different states of building management items, the connection between different states in the same building management item, and the item operation analysis of the building management items can be performed on the intelligent building operation record, so as to determine at least one building management item covered by the intelligent building operation record and the target item operation keywords of each building management item in at least one building management item. The duration of the above-mentioned item operation analysis has no relationship with the number of building management items covered in the intelligent building operation record, and will not cause the processing time to be extended due to the increase in the number of building management items. It can save the processing overhead of the intelligent building operation record to a certain extent and maximize the mining efficiency of building management items.

[0044] During the actual implementation process, the inventor discovered through research and analysis that when mining the different states of building management items, connecting the different states of the same building management item, and parsing the item operations of the building management items in the intelligent building operation record, there is a problem of inaccuracy in each production safety item, which makes it difficult to accurately determine the target item operation keywords of at least one building management item covered by the intelligent building operation record and each of the at least one building management item. In order to improve the above technical problems, the step 200 of mining the different states of building management items, connecting the different states of the same building management item, and parsing the item operations of the building management items in the intelligent building operation record, and determining the target item operation keywords of at least one building management item covered by the intelligent building operation record and each of the at least one building management item, may specifically include the contents described in the following steps 210 to 230.

[0045] Step 210, determining the local production task distribution of each safe production project and the global production task distribution of each safe production project based on the intelligent building operation record.

[0046] Step 220: linking the local production task distribution and the global production task distribution belonging to the same production safety project.

[0047] Step 230, based on the related local production task distribution and the global production task distribution, determine at least one safe production project covered by the intelligent building operation record and the target item operation keywords of each safe production project in the at least one safe production project.

[0048] It can be understood that when executing the contents described in the above steps 210 to 230, the problem of inaccuracy of each production safety item is improved when the different states of the building management items, the connection between different states in the same building management items, and the item operation analysis of the building management items are carried out on the intelligent building operation record, so as to accurately determine the target item operation keywords of at least one building management item covered by the intelligent building operation record and each of the at least one building management items.

[0049] In this embodiment, the specific steps of linking the local production task distribution and the global production task distribution belonging to the same production safety project may include the following: determining a template global production task distribution corresponding to each local production task distribution; based on the template global production task distribution and the global production task distribution, linking the local production task distribution and the global production task distribution belonging to the same production safety project.

[0050] It can be understood that, according to the above content, by accurately determining the global production task distribution of the template, the local production task distribution and the global production task distribution belonging to the same safe production project can be accurately linked.

[0051] When actually implementing this technical solution, the inventor discovered after long-term analysis that when determining the template global production task distribution corresponding to each local production task distribution, there is an inaccurate quantitative description of the task distribution, making it difficult to accurately determine the template global production task distribution. In order to improve the above technical problems, the content described by the template global production task distribution corresponding to each local production task distribution is determined, specifically the content described in steps s1 to s3.

[0052] Step s1, determining the first task distribution quantitative description corresponding to each local production task distribution in the intelligent building operation record.

[0053] Step s2, based on the set task characteristics and the first task distribution quantitative description, respectively determine the second task distribution quantitative description; wherein the set task characteristics are visual features that point from the distribution corresponding to the local production task to the distribution corresponding to the global production task.

[0054] Step s3, quantifying and describing the second task distribution as the template global production task distribution.

[0055] It can be understood that when executing the contents described in the above steps s1 to s3, when determining the template global production task distribution corresponding to each local production task distribution, the problem of inaccurate quantitative description of the task distribution is improved, so that the template global production task distribution can be accurately determined.

[0056] When actually implementing the technical solution, the inventor discovered after long-term analysis that there is a distribution difference problem based on the template global production task distribution and the global production task distribution, which makes it difficult to accurately connect the local production task distribution and the global production task distribution belonging to the same safe production project. In order to improve the above technical problems, the steps described for connecting the local production task distribution and the global production task distribution belonging to the same safe production project based on the template global production task distribution and the global production task distribution may specifically include the contents described in the following step d1.

[0057] Step d1, taking the global production task distribution that has the smallest difference from the global production task distribution of the template and the local production task distribution corresponding to the global production task distribution of the template as the linked local production task distribution and the global production task distribution.

[0058] It can be understood that when executing the content described in the above step d1, the problem of distribution difference is improved based on the template global production task distribution and the global production task distribution, so that the local production task distribution and the global production task distribution belonging to the same safe production project can be accurately linked.

[0059] When actually implementing this technical solution, the inventor discovered after long-term analysis that there are various situations when distributing the local production tasks and the global production tasks based on the connection, which may lead to inaccurate distribution of the production safety projects, making it difficult to accurately determine the target item operation keywords of at least one production safety project and each production safety project in the at least one production safety project covered by the intelligent building operation record. In order to improve the above technical problems, the step 230 described in the local production task distribution and the global production task distribution based on the connection, determines the target item operation keywords of at least one production safety project and each production safety project in the at least one production safety project covered by the intelligent building operation record, which may specifically include the contents described in the following steps f1-f3.

[0060] Step f1, taking at least one of the related local production task distribution and the global production task distribution as the distribution of each safe production project covered by the intelligent building operation record, and determining the at least one safe production project covered by the intelligent building operation record.

[0061] Step f2, determining a plurality of salient visual descriptions based on the associated local production task distribution and the global production task distribution.

[0062] Step f3, based on the multiple significant visual descriptions, determine the target item operation keywords of each of the at least one production safety project.

[0063] It can be understood that when executing the contents described in the above steps f1 to f3, various situations are improved based on the connection between the local production task distribution and the global production task distribution. In this way, the problem of inaccurate distribution of the safe production projects may arise, so that the target item operation keywords of at least one safe production project covered by the intelligent building operation record and each safe production project in the at least one safe production project can be accurately determined.

[0064] When actually implementing the technical solution, the inventor discovered after long-term analysis that, when the local production task distribution and the global production task distribution are based on the connection, there is a problem of mixing up the visual description steps, which makes it difficult to accurately determine multiple significant visual descriptions. In order to improve the above technical problem, the step f2 described in the step of determining multiple significant visual descriptions based on the local production task distribution and the global production task distribution can specifically include the contents described in the following step g1.

[0065] Step g1, determining the significant visual descriptions of the global production task distribution corresponding to at least one setting item operation keyword and pointed to and linked by the local production task distribution, to obtain the multiple significant visual descriptions.

[0066] It can be understood that when executing the content described in the above step g1, based on the associated local production task distribution and the global production task distribution, the problem of confusion in the visual description step is improved, so that multiple significant visual descriptions can be accurately determined.

[0067] When actually implementing the technical solution, the inventor discovered after long-term analysis that, based on the multiple significant visual descriptions, there is a problem of unclear visual descriptions, which makes it difficult to accurately determine the target item operation keywords of each of the at least one production safety project. In order to improve the above technical problems, the step f3 described in determining the target item operation keywords of each of the at least one production safety project based on the multiple significant visual descriptions may specifically include the contents described in the following steps f31-f33.

[0068] Step f31, dimensionless simplification is performed on the multiple significant visual descriptions corresponding to each production safety item to obtain a dimensionless simplified result of each significant visual description.

[0069] Step f32, taking the significant visual description corresponding to the highest dimensionless simplified result of each production safety item as the target significant visual description of each production safety item.

[0070] Step f33, taking the item operation keywords corresponding to the target saliency visual description as the target item operation keywords of each production safety project.

[0071] It can be understood that when executing the contents described in the above steps f31 to f33, based on the multiple significant visual descriptions, the problem of unclear visual descriptions is improved, so that the target item operation keywords of each of the at least one production safety project can be accurately determined.

[0072] When actually implementing the technical solution, the inventor discovered after long-term analysis that when mining the different states of building management items, connecting the different states of the same building management item, and analyzing the item operations of the building management items in the intelligent building operation record, there is a problem of inaccurate building management items, which makes it difficult to accurately determine the target item operation keywords of at least one building management item covered by the intelligent building operation record and each of the at least one building management item. In order to improve the above technical problems, the step f33 of mining the different states of building management items, connecting the different states of the same building management item, and analyzing the item operations of the building management items in the intelligent building operation record to determine the target item operation keywords of at least one building management item covered by the intelligent building operation record and each of the at least one building management item can specifically include the contents described in the following steps f331 and f332.

[0073] Step f331, after determining the target distribution of each state of each building management matter on the intelligent building operation record through the building management matter mining network, the target distributions of different states belonging to the same building management matter are linked.

[0074] Step f332, determining at least one building management item covered by the intelligent building operation record and the target item operation keywords of each building management item in the at least one building management item through the building management item mining network based on the target distribution of different states of connection.

[0075] It can be understood that when executing the contents described in the above steps f331 and f332, the problem of inaccurate building management matters is improved when the different states of building management matters, the connection between different states in the same building management matters, and the matter operation analysis of the building management matters are carried out on the intelligent building operation record, so as to accurately determine the target matter operation keywords of at least one building management matter covered by the intelligent building operation record and each of the at least one building management matters.

[0076] Based on the above, please refer to Figure 2 , provides an artificial intelligence-based intelligent building management device 200, which is applied to an artificial intelligence-based intelligent building management system, and the device includes:

[0077] The record determination module 210 is used to determine the operation record of the intelligent building;

[0078] The operation determination module 220 is used to mine the different states of building management items in the intelligent building operation record, the connection between different states in the same building management item, and the item operation analysis of the building management items, and determine at least one building management item covered by the intelligent building operation record and the target item operation keywords of each building management item in the at least one building management item.

[0079] Based on the above, please refer to Figure 3 , shows an artificial intelligence-based intelligent building management system 300, including a processor 310 and a memory 320 that communicate with each other, and the processor 310 is used to read and execute a computer program from the memory 320 to implement the above method.

[0080] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0081] In summary, based on the above scheme, the different states of building management matters, the connection between different states in the same building management matter, and the matter operation analysis of the building management matters can be carried out on the intelligent building operation record, so as to determine the target matter operation keywords of each building management matter in at least one building management matter and at least one building management matter covered by the intelligent building operation record. The duration of the above-mentioned matter operation analysis has no relationship with the number of building management matters covered in the intelligent building operation record, and will not cause the processing time to be extended due to the increase in the number of building management matters. It can save the processing overhead of the intelligent building operation record to a certain extent and maximize the mining efficiency of building management matters.

[0082] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0083] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

[0084] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of the present application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and amendments to the present application. Such modifications, improvements and amendments are suggested in the present application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of the present application.

[0085] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0086] In addition, it will be appreciated by those skilled in the art that various aspects of the present application may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present application may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0087] A computer storage medium may include a propagated data signal containing computer program code, for example, in baseband or as part of a carrier wave. The propagated signal may be in a variety of forms, including electromagnetic, optical, etc., or a suitable combination. A computer storage medium may be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit the program for use. The program code on the computer storage medium may be transmitted via any suitable medium, including radio, cable, fiber optic cable, RF, or similar media, or any combination of the above media.

[0088] The computer program coding required for the operation of each part of the application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages ​​such as C language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages ​​such as Python, Ruby and Groovy, or other programming languages, etc. The program coding can be run completely on the user's computer, or run on the user's computer as an independent software package, or run partly on the user's computer and partly on the remote computer, or run completely on the remote computer or server. In the latter case, the remote computer can be connected to the user's computer through any network form, such as a local area network (LAN) or a wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as software as a service (SaaS).

[0089] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this application, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this application. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this application. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0090] Similarly, it should be noted that in order to simplify the description of the disclosure of this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the object of this application are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0091] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used for the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers allow adaptive changes. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which can be changed according to the required characteristics of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of the present application are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0092] Each patent, patent application, patent application disclosure, and other materials, such as articles, books, instructions, publications, documents, etc., cited in this application are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the content of this application, documents that limit the broadest scope of the claims of this application (currently or later attached to this application) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the attached materials of this application are inconsistent or conflicting with the content described in this application, the descriptions, definitions, and / or use of terms in this application shall prevail.

[0093] Finally, it should be understood that the embodiments described in this application are only used to illustrate the principles of the embodiments of the present application. Other variations may also fall within the scope of the present application. Therefore, as an example and not a limitation, the alternative configurations of the embodiments of the present application may be considered to be consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly introduced and described in the present application.

[0094] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. An intelligent building management method based on artificial intelligence, characterized in that: Applied to an intelligent building management system, the method at least comprises: Determine the intelligent building operation record; perform mining of different states of building management items, connections between different states of the same building management item, and item operation analysis of the building management items on the intelligent building operation record, and determine at least one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the at least one building management item; The construction management items include safety production projects, and different states of the construction management items include local production tasks and global production tasks of safety production projects; The mining of different states of building management items, the connection of different states in the same building management item, and item operation analysis of the building management items on the intelligent building operation record, and determining at least one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the at least one building management item, include: Determine the local production task distribution of each safety production project and the global production task distribution of each safety production project on the intelligent building operation record; Linking the local production task distribution and the global production task distribution belonging to the same production safety project; Based on the related local production task distribution and the global production task distribution, determine at least one safe production project covered by the intelligent building operation record and the target item operation keywords of each safe production project in the at least one safe production project.

2. The method according to claim 1, characterized in that The linking of the local production task distribution and the global production task distribution belonging to the same production safety project includes: Determine a template global production task distribution corresponding to each local production task distribution; Based on the template global production task distribution and the global production task distribution, the local production task distribution and the global production task distribution belonging to the same safe production project are linked.

3. The method according to claim 2, characterized in that The determining of the template global production task distribution corresponding to each local production task distribution includes: Determine, on the intelligent building operation record, a first task distribution quantitative description corresponding to each local production task distribution; Based on the set task feature and the first task distribution quantitative description, respectively determine the second task distribution quantitative description; wherein the set task feature is a visual feature that points from the distribution situation corresponding to the local production task to the distribution situation corresponding to the global production task; The second task distribution is quantified and described as the template global production task distribution.

4. The method according to claim 3, characterized in that The local production task distribution and the global production task distribution belonging to the same production safety project are linked based on the template global production task distribution and the global production task distribution, including: taking the global production task distribution with the smallest difference from the template global production task distribution and the local production task distribution corresponding to the template global production task distribution as the linked local production task distribution and the global production task distribution.

5. The method according to claim 4, characterized in that The local production task distribution and the global production task distribution based on the connection determine at least one production safety project covered by the intelligent building operation record and the target item operation keywords of each production safety project in the at least one production safety project, including: Using at least one of the linked local production task distribution and the global production task distribution as the distribution of each safe production project covered by the intelligent building operation record, and determining the at least one safe production project covered by the intelligent building operation record; Determining a plurality of salient visual descriptions based on the associated local production task distribution and the global production task distribution; Based on the multiple significant visual descriptions, the target item operation keywords of each of the at least one production safety project are determined.

6. The method according to claim 5, characterized in that The determining of a plurality of salient visual descriptions based on the local production task distribution and the global production task distribution based on the connection includes: Determine the significant visual descriptions of the global production task distribution that respectively corresponds to at least one setting item operation keyword and is pointed to and linked by the local production task distribution, and obtain the multiple significant visual descriptions.

7. The method according to claim 6, characterized in that Determining the target item operation keyword of each of the at least one production safety project based on the multiple significant visual descriptions includes: Performing dimensionless simplification on a plurality of significant visual descriptions corresponding to each of the production safety items to obtain a dimensionless simplified result of each significant visual description; The significant visual description corresponding to the highest dimensionless simplified result of each of the production safety items is used as the target significant visual description of each of the production safety items; The item operation keywords corresponding to the target saliency visual description are used as the target item operation keywords for each production safety project.

8. The method according to claim 7, characterized in that The mining of different states of building management items, the connection of different states in the same building management item, and item operation analysis of the building management items on the intelligent building operation record, and determining at least one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the at least one building management item, include: After determining the target distribution of each state of each building management matter on the intelligent building operation record through the building management matter mining network, the target distributions of different states belonging to the same building management matter are linked; By mining the target distribution of different states of connection based on the building management matter network, at least one building management matter covered by the intelligent building operation record and the target matter operation keywords of each of the at least one building management matter are determined.

9. An intelligent building management system based on artificial intelligence, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 8.

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