CN114139870A - Intelligent building management method and system based on artificial intelligence - Google Patents
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Abstract
The intelligent building management method and system based on artificial intelligence can perform mining on different states of building management items, connection of different states in the same building management item and item operation analysis of the building management items on an intelligent building operation record, so that the condition that not less than one building management item is covered by the intelligent building operation record and the target item operation key word of each building management item in not less than one building management item is determined, the item operation analysis duration has no relation with the number of the building management items covered by the intelligent building operation record, the processing time cannot be prolonged due to the expansion of the number of the building management items, the processing expense of the intelligent building operation record can be saved to a certain extent, and the mining efficiency of the building management items can be improved as much as possible.
Description
Technical Field
The application relates to the technical field of building data management, in particular to an intelligent building management method and system based on artificial intelligence.
Background
Artificial Intelligence (AI) is a new technical science to study and develop theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence. With the development of artificial intelligence, the artificial intelligence gradually enters our lives and is applied to various fields, and the artificial intelligence brings great economic benefits to many industries and brings many changes and convenience to our lives.
The intelligent building is characterized in that the structure, the system, the service and the management of the building are optimally combined according to the requirements of users, so that an efficient, comfortable and convenient humanized building environment is provided for the users. The intelligent building is a product integrating modern science and technology. The technical foundation mainly comprises modern building technology, modern computer technology, modern communication technology and modern control technology. At present, the intelligent management degree of an intelligent building can be further improved by combining artificial intelligence with the intelligent building. However, in the practical application process, the inventor finds how to effectively save the processing overhead and reduce the processing time in the process of performing intelligent building management, which is a technical problem that needs to be improved at present.
Disclosure of Invention
In view of this, the present application provides an intelligent building management method and system based on artificial intelligence.
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 includes:
determining an intelligent building operation record; and performing item operation analysis on the intelligent building operation records, wherein the intelligent building operation records are mined in different states of building management items, associated in different states of the same building management item and the building management item, and the target item operation keywords of each building management item in at least one building management item and not less than one building management item covered by the intelligent building operation records are determined.
In a separately implemented embodiment, the building management item comprises a safety production project, and the different states of the building management item comprise a local production task and a global production task of the safety production project;
the method for mining different states of building management items, linking different states in the same building management item and analyzing item operation of the building management items for the intelligent building operation record and determining not less than one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the not less than one building management item comprises the following steps:
determining local production task distribution of each safety production project and 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 safe production project;
and determining at least one safe production project covered by the intelligent building operation record and the target item operation key words of each safe production project in the at least one safe production project based on the linked local production task distribution and the global production task distribution.
In an independently implemented embodiment, the associating the local production task distribution and the global production task distribution belonging to the same safe production project includes:
determining a template global production task distribution corresponding to each local production task distribution;
and 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 which belong to the same safe production project.
In an independently implemented embodiment, the determining a template global production task distribution corresponding to each local production task distribution includes:
determining a first task distribution quantitative description corresponding to each local production task distribution on the intelligent building operation record;
respectively determining a second task distribution quantitative description based on the set task characteristics and the first task distribution quantitative description; the set task characteristics are visual characteristics pointing to the distribution situation corresponding to the global production task from the distribution situation corresponding to the local production task;
and taking the second task distribution quantitative description as the template global production task distribution.
In an independently implemented embodiment, the associating 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 includes: and taking the global production task distribution with the minimum difference with the template global production task distribution and the local production task distribution corresponding to the template global production task distribution as the associated local production task distribution and global production task distribution.
In an independently implemented embodiment, the determining the at least one safety production item covered by the intelligent building operation record and the target item operation keyword of each safety production item in the at least one safety production item based on the linked local production task distribution and the global production task distribution includes:
at least one of the linked local production task distribution and the global production task distribution is used as the distribution of each safety production project covered by the intelligent building operation record, and the at least one safety production project covered by the intelligent building operation record is determined;
determining a plurality of salient visual descriptions based on the associated local production task distributions and the global production task distribution;
determining the target matter operation keyword of each safe production project in the not less than one safe production project based on the plurality of the significant visual descriptions.
In an independently implemented embodiment, the determining a plurality of salient visual descriptions based on the linked local production task distributions and the global production task distribution comprises:
and determining the significant visual descriptions of the global production task distribution which respectively correspond to at least one set item operation keyword and are pointed to and linked by the local production task distribution to obtain the plurality of significant visual descriptions.
In an independently implemented embodiment, the determining the target item operation keyword for each of the at least one safe production item based on the plurality of salient visual descriptions comprises:
carrying out dimensionless simplification on the plurality of saliency visual descriptions corresponding to each safety production project to obtain a dimensionless simplification result of each saliency visual description;
taking the significance visual description corresponding to the highest dimensionless simplification result of each safety production project as the target significance visual description of each safety production project;
and taking the matter operation key word corresponding to the target significance visual description as the target matter operation key word of each safety production project.
In an independently implemented embodiment, the performing item operation analysis on the intelligent building operation record for different state mining of building management items, different state association in the same building management item, and building management items to determine not less than one building management item covered by the intelligent building operation record and a target item operation keyword for each building management item in the not less than one building management item includes:
determining the target distribution of each state of each building management item on the intelligent building operation record through a building management item mining network, and then associating the target distributions of different states belonging to the same building management item;
and determining at least one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in the at least one building management item through the target distribution of the building management item mining network based on different states of contact.
In a second aspect, an artificial intelligence based intelligent building management system is provided, comprising a processor and a memory, which are in communication with each other, the processor being configured to read a computer program from the memory and execute the computer program to implement the above method.
The intelligent building management method and system based on artificial intelligence provided by the embodiment of the application can perform mining of different states of building management items, 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, so that not less than one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in not less than one building management item are determined, the item operation analysis duration has no relation with the number of the building management items covered in the intelligent building operation record, the processing time cannot be prolonged due to the expansion of the number of the building management items, the processing expense of the intelligent building operation record can be saved to a certain extent, and the mining efficiency of the building management items can be improved as much as possible.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of an intelligent building management method based on artificial intelligence according to an embodiment of the present disclosure.
Fig. 2 is a block diagram of an intelligent building management device based on artificial intelligence according to an embodiment of the present application.
Fig. 3 is an architecture diagram of an intelligent building management system based on artificial intelligence according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Referring to fig. 1, a method for intelligent building management based on artificial intelligence is shown, which may include the following steps 100 and 200.
And step 100, determining an intelligent building operation record.
It can be understood that, when the contents described in the above steps 100 and 200 are executed, the intelligent building operation record may be subjected to different state mining of the building management items, association of different states in the same building management item, and item operation analysis of the building management items, so as to determine that the intelligent building operation record covers at least one building management item and the target item operation keyword of each building management item in at least one building management item, where the item operation analysis duration has no relation with the number of the building management items covered in the intelligent building operation record, and the processing time is not lengthened due to the increase of the number of the building management items, so that the processing overhead of the intelligent building operation record can be saved to a certain extent, and the mining efficiency of the building management items can be improved as much as possible.
In the actual implementation process, the inventor finds through research and analysis that when the intelligent building operation record is subjected to different-state mining of building management items, connection of different states in the same building management item and item operation analysis of the building management items, each safety production item is inaccurate, so that it is difficult to accurately determine not less than one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in the not less than one building management item, and in order to improve the technical problem, the intelligent building operation record is subjected to the different-state mining of the building management items, the connection of different states in the same building management item and the item operation analysis of the building management items, which are described in step 200, and the not less than one building management item covered by the intelligent building operation record and the not less than one building management item in the building management item are determined The step of operating the keyword for the target item of the item may specifically include the following steps 210 to 230.
And 210, determining 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.
Step 230, determining at least one safety production project covered by the intelligent building operation record and the target item operation keyword of each safety production project in the at least one safety production project based on the linked local production task distribution and the global production task distribution.
It can be understood that when the contents described in the above steps 210 to 230 are performed, the problem of inaccuracy of each safety production item is solved when performing item operation analysis of different state mining of building management items, different state association in the same building management item, and building management items on the intelligent building operation record, so that not less than one building management item covered by the intelligent building operation record and the target item operation keyword of each building management item in the not less than one building management item can be accurately determined.
In this embodiment, the specific step of associating the local production task distribution and the global production task distribution belonging to the same safe production project may include the following steps: determining a template global production task distribution corresponding to each local production task distribution; and 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 which belong to the same safe production project.
It will be appreciated that, in accordance with the above, by accurately determining the template global production task distribution, it is possible to accurately relate the local production task distribution and the global production task distribution belonging to the same safe production project.
In the actual implementation of the technical solution, the inventor finds, through long-term analysis, that when determining the template global production task distribution corresponding to each local production task distribution, there is a problem that the quantitative description of the task distribution is inaccurate, so that it is difficult to accurately determine the template global production task distribution.
And step s1, determining a first task distribution quantitative description corresponding to each local production task distribution on the intelligent building operation record.
Step s2, respectively determining a second task distribution quantization description based on the set task characteristics and the first task distribution quantization description; the set task characteristics are visual characteristics pointing to the distribution situation corresponding to the global production task from the distribution situation corresponding to the local production task.
And step s3, taking the second task distribution quantitative description as the template global production task distribution.
It can be understood that, when the contents described in the above steps s 1-s 3 are executed, the problem of inaccurate quantitative description of task distribution is solved when determining the template global production task distribution corresponding to each local production task distribution, so that the template global production task distribution can be accurately determined.
In the actual implementation of the technical solution, the inventor finds, through long-term analysis, that there is a problem of distribution difference when the global production task distribution and the template global production task distribution are based on, so that it is difficult to accurately link the local production task distribution and the global production task distribution belonging to the same safe production project, and in order to improve the above technical problem, the steps described for linking 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 content described in the following step d 1.
And d1, using the global production task distribution with the minimum difference with the template global production task distribution and the local production task distribution corresponding to the template global production task distribution as the associated local production task distribution and global production task distribution.
It can be understood that when the content described in the above step d1 is executed, the problem of distribution difference is improved when the template global production task distribution and the global production task distribution are based on, so that the local production task distribution and the global production task distribution belonging to the same safe production project can be accurately linked.
In the actual implementation of the technical solution, the inventor finds, through long-term analysis, that there are various situations when the local production task distribution and the global production task distribution are linked, such that the distribution of the safety production items may be inaccurate, and thus it is difficult to accurately determine the target item operation keyword of each of the at least one safety production item and the at least one safety production item covered by the intelligent building operation record, and in order to improve the above technical problem, the step of determining the target item operation keyword of each of the at least one safety production item and the at least one safety production item covered by the intelligent building operation record based on the linked local production task distribution and the global production task distribution described in step 230, specifically, the method may include the following steps f1 to f 3.
And f1, taking at least one of the linked local production task distribution and the global production task distribution as the distribution of each safety production project covered by the intelligent building operation record, and determining the at least one safety production project covered by the intelligent building operation record.
Step f2, determining a plurality of salient visual descriptions based on the linked local production task distributions and the global production task distribution.
Step f3, determining the target item operation keyword of each of the at least one safety production items based on the plurality of the significant visual descriptions.
It is understood that, when the contents described in the above steps f1 to f3 are performed, based on the linked local production task distribution and the global production task distribution, various situations are improved, and thus a problem of inaccurate distribution of safety production items may occur, so that the target item operation keyword of not less than one safety production item and each safety production item in the not less than one safety production item covered by the intelligent building operation record can be accurately determined.
In the actual implementation of the technical solution, the inventor finds, through long-term analysis, that there is a problem that visual description steps are mixed when the local production task distribution and the global production task distribution are associated, so that it is difficult to accurately determine a plurality of significant visual descriptions, and in order to improve the above technical problem, the step of determining a plurality of significant visual descriptions based on the associated local production task distribution and the global production task distribution described in step f2 may specifically include the content described in step g1 below.
Step g1, determining the significant visual descriptions of the global production task distribution which respectively correspond to at least one set item operation keyword and are pointed to and linked by the local production task distribution, and obtaining the plurality of significant visual descriptions.
It will be appreciated that when the above description of step g1 is performed, based on the associated local production task distribution and global production task distribution, the problem of blending visual description steps is improved, so that a plurality of significant visual descriptions can be accurately determined.
In the actual implementation of the technical solution, the inventor finds, through long-term analysis, that, based on the plurality of significant visual descriptions, there is a problem that the visual descriptions are unclear, so that it is difficult to accurately determine the target item operation keyword of each of the at least one safety production project, and in order to improve the above technical problem, the step of determining the target item operation keyword of each of the at least one safety production project based on the plurality of significant visual descriptions, which is described in step f3, may specifically include the following contents described in step f 31-step f 33.
And f31, carrying out dimensionless simplification on the plurality of saliency visual descriptions corresponding to each safety production project to obtain a dimensionless simplification result of each saliency visual description.
And f32, taking the significance visual description corresponding to the highest dimensionless simplification result of each safety production project as the target significance visual description of each safety production project.
Step f33, using the item operation key word corresponding to the target significance visual description as the target item operation key word of each safety production item.
It is understood that, when the contents described in the above steps f31 to f33 are performed, based on the plurality of significant visual descriptions, the problem of unclear visual descriptions is improved, so that the target matter operation keyword for each of the at least one safety production project can be accurately determined.
In the actual implementation of the technical solution, the inventor has found through long-term analysis that when performing different-state mining of building management items, connection of different states in the same building management item, and item operation analysis of building management items on the intelligent building operation record, there is a problem that the building management items are inaccurate, so that it is difficult to accurately determine not less than one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in the not less than one building management item, and in order to improve the technical problem, the step f33 describes performing the different-state mining of the building management items, 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 determines not less than one building management item covered by the intelligent building operation record and each building management item in the not less than one building management item The step of operating the keyword for the event of the event may specifically include the following contents described in step f331 and step f 332.
And f331, determining the target distribution of each state of each building management item on the intelligent building operation record through a building management item mining network, and then associating the target distributions of different states belonging to the same building management item.
Step f332, determining at least one building management item covered by the intelligent building operation record and the target item operation keyword of each building management item in the at least one building management item through the target distribution of the building management item mining network based on different contact states.
It can be understood that when the contents described in the above steps f331 and f332 are executed, and the intelligent building operation record is subjected to different state mining of the building management items, connection of different states in the same building management item, and item operation analysis of the building management items, the problem of inaccuracy of the building management items is solved, so that not less than one building management item covered by the intelligent building operation record and the target item operation keyword of each building management item in the not less than one building management item can be accurately determined.
On the basis, please refer to fig. 2 in combination, which provides an intelligent building management apparatus 200 based on artificial intelligence, applied to an intelligent building management system based on artificial intelligence, the apparatus includes:
a record determining module 210, configured to determine an intelligent building operation record;
the operation determining module 220 is configured to perform item operation analysis on the intelligent building operation record, such as mining of different states of building management items, association of different states in the same building management item, and building management items, and determine at least one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in the at least one building management item.
On the basis of the above, please refer to fig. 3, which shows an artificial intelligence based intelligent building management system 300, which includes a processor 310 and a memory 320, which are communicated with each other, wherein the processor 310 is used for reading the computer program from the memory 320 and executing the computer program to implement the above method.
On the basis of the above, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed implements the above-described method.
In summary, based on the above scheme, it is possible to perform mining of different states of building management items, association of different states in the same building management item, and item operation analysis of the building management items on an intelligent building operation record, so as to determine that at least one building management item is covered by the intelligent building operation record and a target item operation keyword of each building management item in the at least one building management item, where there is no relationship between the item operation analysis duration and the number of the building management items covered by the intelligent building operation record, so that processing time is not lengthened due to expansion of the number of the building management items, processing overhead of the intelligent building operation record can be saved to a certain extent, and mining efficiency of the building management items can be improved as much as possible.
It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as 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 may be implemented not only by hardware circuits such as very 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 also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An intelligent building management method based on artificial intelligence is characterized by being applied to an intelligent building management system, and the method at least comprises the following steps:
determining an intelligent building operation record; and performing item operation analysis on the intelligent building operation records, wherein the intelligent building operation records are mined in different states of building management items, associated in different states of the same building management item and the building management item, and the target item operation keywords of each building management item in at least one building management item and not less than one building management item covered by the intelligent building operation records are determined.
2. The method of claim 1, wherein the building management item comprises a safety production project, the different states of the building management item comprising a local production task and a global production task of the safety production project;
the method for mining different states of building management items, linking different states in the same building management item and analyzing item operation of the building management items for the intelligent building operation record and determining not less than one building management item covered by the intelligent building operation record and target item operation keywords of each building management item in the not less than one building management item comprises the following steps:
determining local production task distribution of each safety production project and 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 safe production project;
and determining at least one safe production project covered by the intelligent building operation record and the target item operation key words of each safe production project in the at least one safe production project based on the linked local production task distribution and the global production task distribution.
3. The method of claim 2, wherein said associating said local production task distribution and said global production task distribution belonging to the same safe production project comprises:
determining a template global production task distribution corresponding to each local production task distribution;
and 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 which belong to the same safe production project.
4. The method of claim 3, wherein determining a template global production task distribution corresponding to each local production task distribution comprises:
determining a first task distribution quantitative description corresponding to each local production task distribution on the intelligent building operation record;
respectively determining a second task distribution quantitative description based on the set task characteristics and the first task distribution quantitative description; the set task characteristics are visual characteristics pointing to the distribution situation corresponding to the global production task from the distribution situation corresponding to the local production task;
and taking the second task distribution quantitative description as the template global production task distribution.
5. The method of claim 4, wherein said associating 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 comprises: and taking the global production task distribution with the minimum difference with the template global production task distribution and the local production task distribution corresponding to the template global production task distribution as the associated local production task distribution and global production task distribution.
6. The method of claim 5, wherein the determining the at least one safe production item covered by the intelligent building operation record and the target item operation keyword for each of the at least one safe production item based on the linked local production task distribution and the global production task distribution comprises:
at least one of the linked local production task distribution and the global production task distribution is used as the distribution of each safety production project covered by the intelligent building operation record, and the at least one safety production project covered by the intelligent building operation record is determined;
determining a plurality of salient visual descriptions based on the associated local production task distributions and the global production task distribution;
determining the target matter operation keyword of each safe production project in the not less than one safe production project based on the plurality of the significant visual descriptions.
7. The method of claim 6, wherein determining a plurality of salient visual descriptions based on the linked local production task distributions and the global production task distribution comprises:
and determining the significant visual descriptions of the global production task distribution which respectively correspond to at least one set item operation keyword and are pointed to and linked by the local production task distribution to obtain the plurality of significant visual descriptions.
8. The method of claim 7, wherein said determining the target item operation keyword for each of the at least one safe production project based on the plurality of salient visual descriptions comprises:
carrying out dimensionless simplification on the plurality of saliency visual descriptions corresponding to each safety production project to obtain a dimensionless simplification result of each saliency visual description;
taking the significance visual description corresponding to the highest dimensionless simplification result of each safety production project as the target significance visual description of each safety production project;
and taking the matter operation key word corresponding to the target significance visual description as the target matter operation key word of each safety production project.
9. The method of claim 8, wherein the performing item operation parsing of the intelligent building operation records for different state mining of building management items, different state linking in the same building management item, and building management items to determine not less than one building management item covered by the intelligent building operation records and target item operation keywords for each of the not less than one building management item comprises:
determining the target distribution of each state of each building management item on the intelligent building operation record through a building management item mining network, and then associating the target distributions of different states belonging to the same building management item;
and determining at least one building management item covered by the intelligent building operation record and a target item operation keyword of each building management item in the at least one building management item through the target distribution of the building management item mining network based on different states of contact.
10. An artificial intelligence based intelligent building management system comprising a processor and a memory in communication with each other, the processor being configured to read a computer program from the memory and execute the computer program to perform the method of any one of claims 1 to 9.
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