CN113919696A - Project full life cycle early warning method and device based on big building data - Google Patents
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Abstract
The application relates to a project full life cycle early warning method and device based on big data of building, belonging to the technical field of computers, and the method comprises the following steps: acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases; determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data; displaying first early warning data or second early warning data corresponding to at least two service systems in the same early warning display page; the problem that the early warning data viewing efficiency is low when the user logs in different service systems respectively to view the early warning condition can be solved; by means of a configurable mode, joint early warning rules among multiple services are supported, the uniform display of the early warning information of the whole life cycle of a project is achieved, the development efficiency is improved, and the checking efficiency of early warning data is improved.
Description
[ technical field ] A method for producing a semiconductor device
The application relates to a project full life cycle early warning method and device based on big data of building, and belongs to the technical field of computers.
[ background of the invention ]
The building big data is a building basic database obtained by performing business processing such as acquisition, conversion, integration, storage, sharing and the like on business data of each region based on a building information system data exchange standard. The big building data store data of a project life cycle, the project generally comprises a plurality of service systems, and each service system independently develops an early warning module to early warn whether the data in the service system are abnormal or not.
In a traditional early warning mode, different service systems independently develop early warning modules, and a user needs to log in each service system to check early warning respectively, so that all early warning conditions of a project in a life cycle of building can be completely known.
However, it is inefficient to log in different business systems respectively to check the early warning situation.
[ summary of the invention ]
The application provides a project full-life-cycle early warning method and device based on big data of building, which can solve the problem that the early warning data checking efficiency is low when a user logs in different service systems respectively to check early warning conditions. The application provides the following technical scheme:
in a first aspect, a project full-life-cycle early warning method based on big data of building is provided, the method comprising:
acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases;
determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data;
and displaying the first early warning data or the second early warning data corresponding to the at least two service systems in the same early warning display page.
Optionally, before acquiring the first early warning data from the database corresponding to each service system according to the pre-configured early warning frequency, the method further includes:
and configuring the early warning frequency, the query data source, the query data table, the display template of the early warning data, the query language, the joint early warning rule and the preset field.
Optionally, the obtaining early warning data from a database corresponding to each service system according to the pre-configured early warning frequency includes:
searching the query data table in a database corresponding to the query data source by using the query language to obtain the first early warning data;
and extracting the data of the preset field from the query data table to obtain the service data.
Optionally, the displaying the first warning data or the second warning data corresponding to the at least two service systems in the same warning display page includes:
and performing page rendering on the first early warning data or the second early warning data in the same page according to the display template so as to display the first early warning data or the second early warning data corresponding to the at least two service systems.
Optionally, each of the at least two service systems is configured to generate first early warning data based on an early warning rule corresponding to the service system, and store the first early warning data in an early warning database corresponding to the service system; the second early warning data is also stored to the early warning database.
Optionally, the at least two service systems include: the system comprises an administrative examination and approval system, a bidding and tendering system, a construction drawing examination system, a quality supervision system, a safety supervision system, an intelligent construction site system and a joint acceptance system.
In a second aspect, a full-life-cycle project early warning device based on big data of building is provided, where the full-life-cycle project includes at least two business systems, and the device includes:
the data acquisition module is used for acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases;
the joint early warning module is used for determining whether the incidence relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data;
and the data display module is used for displaying the first early warning data or the second early warning data corresponding to the at least two service systems in the same early warning display page.
Optionally, the apparatus further comprises:
and the early warning configuration module is used for configuring the early warning frequency, the query data source, the query data table, the display template of the early warning data, the query language, the joint early warning rule and the preset field before acquiring the first early warning data from the database corresponding to each service system according to the pre-configured early warning frequency.
Optionally, the data obtaining module is configured to:
searching the query data table in a database corresponding to the query data source by using the query language to obtain the first early warning data;
and extracting the data of the preset field from the query data table to obtain the service data.
Optionally, the data display module is configured to:
and performing page rendering on the first early warning data or the second early warning data in the same page according to the display template so as to display the first early warning data or the second early warning data corresponding to the at least two service systems.
The beneficial effects of this application include at least: acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases; determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data; displaying first early warning data or second early warning data corresponding to at least two service systems in the same early warning display page; the problem that the early warning data viewing efficiency is low when the user logs in different service systems respectively to view the early warning condition can be solved; by means of a configurable mode, joint early warning rules among multiple services are supported, uniform display of early warning information of a project full life cycle is achieved, development efficiency is improved, similar content is prevented from being repeatedly developed, and checking efficiency of early warning data is improved.
In addition, in the embodiment, the general display contents such as the list page are extracted, the early warning rules of each service can be flexibly configured, the association early warning between different services is supported, repeated development for many times is not needed, the development time of developers can be greatly saved, and the uniform display of the early warning information of the whole life cycle of the project is realized.
In addition, the user only needs to carry out related configuration on the background to achieve the desired effect, and after the data table structure product is changed, the user only needs to configure without code adjustment of developers.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical solutions of the present application more clear and clear, and to implement the technical solutions according to the content of the description, the following detailed description is made with reference to the preferred embodiments of the present application and the accompanying drawings.
[ description of the drawings ]
FIG. 1 is a flowchart of a project full-life-cycle early warning method based on big data built according to an embodiment of the present application;
fig. 2 is a block diagram of a project full-life-cycle early warning device based on building big data according to an embodiment of the present application.
[ detailed description ] embodiments
The following detailed description of embodiments of the present application will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the present application but are not intended to limit the scope of the present application.
Optionally, the method for warning the full life cycle of the project based on the building big data provided in each embodiment is used in an electronic device for example, the electronic device has a display function, the electronic device may be a computer, a mobile phone, a tablet computer, and the like, and the embodiment does not limit the type of the electronic device.
Fig. 1 is a flowchart of a project full-life-cycle early warning method based on building big data according to an embodiment of the present application. In this embodiment, the project full life cycle includes at least two service systems. And each service system of the at least two service systems is used for generating first early warning data based on the early warning rules corresponding to the service systems and storing the first early warning data to an early warning database corresponding to the service systems. Illustratively, the at least two business systems include: the system comprises an administrative examination and approval system, a bidding and tendering system, a construction drawing examination system, a quality supervision system, a safety supervision system, an intelligent construction site system and a joint acceptance system. In other embodiments, the project full lifecycle may also include other systems, which are not listed here.
The method at least comprises the following steps:
Specifically, before acquiring the first early warning data and the service data of the preset field from the database corresponding to each service system according to the pre-configured early warning frequency, the method further includes: configuring early warning frequency, a query data source, a query data table, a display template of early warning data, a query language, a joint early warning rule and a preset segment.
The query data source is used for indicating a database for storing the first early warning data and the business data. And the database corresponding to the first early warning data is the same as or different from the database corresponding to the service data. And the query data table is used for indicating a data table for storing the first early warning data and the service data in the database. And the query data table corresponding to the first early warning data is the same as or different from the query data table corresponding to the service data. The display template is used for indicating the display mode of each early warning data (including the first early warning data or the second early warning data) in the same page. The query language is a language indicating query of database data, such as: a Structured Query Language (SQL) that can Query the business data and the first warning data. The joint early warning rule is used for determining whether the incidence relation between the business data of different business systems is abnormal. The preset field is used for extracting data indicated by the joint early warning rule. Correspondingly, according to the pre-configured pre-warning frequency, acquiring the first pre-warning data and the service data of the preset field from the database corresponding to each service system, including: searching a query data table in a database corresponding to a query data source by using a query language to obtain first early warning data; and extracting data of the preset field from the query data table to obtain service data.
And step 102, determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule, and obtaining second early warning data.
The second early warning data is also stored to the early warning database.
Such as: for item a, two service systems are included, respectively: a construction drawing examination system and a joint acceptance system. And the data in the database corresponding to the construction drawing examination system and the data in the database corresponding to the joint acceptance system have no problem. However, after the inspection time of the construction drawing inspection system and the acceptance time of the joint acceptance system are compared by using the joint early warning rule, it is found that the acceptance time is earlier than the construction drawing inspection time, which does not accord with the project development rule, and therefore, an early warning needs to be sent out to obtain second early warning data. At the moment, the joint early warning rule is that the examination time of the examination system is compared with the acceptance time of the joint acceptance system, and early warning is carried out when the acceptance time is earlier than the examination time of the construction drawing; not early warning when the time of acceptance is later than the time of construction drawing examination, correspondingly, the preset field comprises: the inspection time of the construction drawing inspection system and the acceptance time of the combined acceptance system.
The above example is only to illustrate the joint early warning rule and the preset field, and in actual implementation, the association relationship between different service systems may also be other relationships, and accordingly, the joint early warning rule and the preset field may also be set correspondingly according to requirements, which is not listed here one by one.
In actual implementation, the joint early warning rule may be a mathematical model formed by data from preset fields of different service systems, and the early warning is performed when the preset fields satisfy the logical relationship of the data model, and the early warning is not performed when the preset fields do not satisfy the logical relationship of the data model, which does not limit the implementation manner of the joint early warning rule.
And 103, displaying first early warning data or second early warning data corresponding to at least two service systems in the same early warning display page.
Displaying first early warning data or second early warning data corresponding to at least two service systems in the same early warning display page, wherein the displaying method comprises the following steps: and rendering the first early warning data or the second early warning data in the same page according to a display template so as to display the first early warning data or the second early warning data corresponding to at least two service systems.
In this embodiment, the first early warning data or the second early warning data acquired by the early warning timing task is acquired by calling the universal interface to perform page rendering, and a corresponding data effect is displayed.
In summary, according to the project full-life-cycle early warning method based on the big data for building provided by this embodiment, the first early warning data and the service data of the preset field are obtained from the database corresponding to each service system according to the pre-configured early warning frequency, and different service systems correspond to different databases; determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data; displaying first early warning data or second early warning data corresponding to at least two service systems in the same early warning display page; the problem that the early warning data viewing efficiency is low when the user logs in different service systems respectively to view the early warning condition can be solved; by means of a configurable mode, joint early warning rules among multiple services are supported, uniform display of early warning information of a project full life cycle is achieved, development efficiency is improved, similar content is prevented from being repeatedly developed, and checking efficiency of early warning data is improved.
In addition, in the embodiment, the general display contents such as the list page are extracted, the early warning rules of each service can be flexibly configured, the association early warning between different services is supported, repeated development for many times is not needed, the development time of developers can be greatly saved, and the uniform display of the early warning information of the whole life cycle of the project is realized.
In addition, the user only needs to carry out related configuration on the background to achieve the desired effect, and after the data table structure product is changed, the user only needs to configure without code adjustment of developers.
Fig. 2 is a block diagram of a project full-life-cycle early warning device based on big data of a building, which includes at least two business systems, according to an embodiment of the present application. The device at least comprises the following modules: a data acquisition module 210, a joint warning module 220, and a data display module 230.
The data acquisition module 210 is configured to acquire first early warning data and service data of a preset field from a database corresponding to each service system according to a pre-configured early warning frequency, where different service systems correspond to different databases;
the joint early warning module 220 is configured to determine whether an association relationship between service data of different service systems is abnormal according to a pre-configured joint early warning rule, so as to obtain second early warning data;
the data display module 230 is configured to display the first warning data or the second warning data corresponding to the at least two service systems in the same warning display page.
Optionally, the apparatus further comprises: an early warning configuration module 230.
And the early warning configuration module is used for configuring the early warning frequency, the inquired data source, the inquiry data table, the display template of the early warning data, the inquiry language, the joint early warning rule and the preset field before acquiring the first early warning data from the database corresponding to each service system according to the pre-configured early warning frequency.
Optionally, the data obtaining module 210 is configured to:
searching the query data table in a database corresponding to the query data source by using the query language to obtain the first early warning data;
and extracting the data of the preset field from the query data table to obtain the service data.
Optionally, the data display module 220 is configured to:
and performing page rendering on the first early warning data or the second early warning data in the same page according to the display template so as to display the first early warning data or the second early warning data corresponding to the at least two service systems.
For relevant details reference is made to the above-described method embodiments.
It should be noted that: the whole life cycle early warning device for a project based on big data in the above embodiment is exemplified by only the division of the above functional modules when performing the whole life cycle early warning for a project based on big data, and in practical applications, the function distribution may be completed by different functional modules as needed, that is, the internal structure of the whole life cycle early warning device for a project based on big data is divided into different functional modules to complete all or part of the above described functions. In addition, the whole-life-cycle early warning device for the project based on the big data of the building provided by the embodiment and the whole-life-cycle early warning method for the project based on the big data of the building have the same concept, and specific implementation processes are detailed in the method embodiment and are not described herein again.
Optionally, the present application further provides a computer-readable storage medium, in which a program is stored, and the program is loaded and executed by a processor to implement the method for warning the full life cycle of the project based on the big data of building in the embodiment of the method.
Optionally, the present application further provides a computer product, which includes a computer-readable storage medium, where a program is stored in the computer-readable storage medium, and the program is loaded and executed by a processor to implement the method for warning a full life cycle of a project based on building big data in the above-mentioned method embodiment.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A project full-life-cycle early warning method based on big data of building is characterized in that the project full-life-cycle comprises at least two service systems, and the method comprises the following steps:
acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases;
determining whether the association relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data;
and displaying the first early warning data or the second early warning data corresponding to the at least two service systems in the same early warning display page.
2. The method of claim 1, wherein before acquiring the first warning data from the database corresponding to each service system according to the pre-configured warning frequency, the method further comprises:
and configuring the early warning frequency, the query data source, the query data table, the display template of the early warning data, the query language, the joint early warning rule and the preset field.
3. The method of claim 2, wherein the obtaining the first early warning data and the service data of the preset field from the database corresponding to each service system according to the pre-configured early warning frequency comprises:
searching the query data table in a database corresponding to the query data source by using the query language to obtain the first early warning data;
and extracting the data of the preset field from the query data table to obtain the service data.
4. The method of claim 2, wherein the displaying the first warning data or the second warning data corresponding to the at least two service systems in the same warning display page comprises:
and performing page rendering on the first early warning data or the second early warning data in the same page according to the display template so as to display the first early warning data or the second early warning data corresponding to the at least two service systems.
5. The method according to any one of claims 1 to 4, wherein each of the at least two service systems is configured to generate first warning data based on a warning rule corresponding to the service system, and store the first warning data in a warning database corresponding to the service system; the second early warning data is also stored to the early warning database.
6. The method according to any of claims 1 to 4, wherein the at least two service systems comprise: the system comprises an administrative examination and approval system, a bidding and tendering system, a construction drawing examination system, a quality supervision system, a safety supervision system, an intelligent construction site system and a joint acceptance system.
7. A full life cycle early warning device of project based on big data of living being built, characterized in that, the full life cycle of project includes at least two business systems, the device includes:
the data acquisition module is used for acquiring first early warning data and service data of a preset field from a database corresponding to each service system according to pre-configured early warning frequency, wherein different service systems correspond to different databases;
the joint early warning module is used for determining whether the incidence relation among the service data of different service systems is abnormal or not according to a pre-configured joint early warning rule to obtain second early warning data;
and the data display module is used for displaying the first early warning data or the second early warning data corresponding to the at least two service systems in the same early warning display page.
8. The apparatus of claim 1, further comprising:
and the early warning configuration module is used for configuring the early warning frequency, the query data source, the query data table, the display template of the early warning data, the query language, the joint early warning rule and the preset field before acquiring the first early warning data from the database corresponding to each service system according to the pre-configured early warning frequency.
9. The apparatus of claim 8, wherein the data acquisition module is configured to:
searching the query data table in a database corresponding to the query data source by using the query language to obtain the first early warning data;
and extracting the data of the preset field from the query data table to obtain the service data.
10. The apparatus of claim 8, wherein the data display module is configured to:
and performing page rendering on the first early warning data or the second early warning data in the same page according to the display template so as to display the first early warning data or the second early warning data corresponding to the at least two service systems.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6499023B1 (en) * | 1999-02-19 | 2002-12-24 | Lucent Technologies Inc. | Data item evaluation based on the combination of multiple factors |
CN105416343A (en) * | 2015-10-26 | 2016-03-23 | 中国铁道科学研究院电子计算技术研究所 | Comprehensive early warning method and system for track construction |
CN109739905A (en) * | 2019-01-10 | 2019-05-10 | 吉林建筑大学 | A kind of pipe gallery fire alarm method and system |
CN111708682A (en) * | 2020-06-17 | 2020-09-25 | 腾讯科技(深圳)有限公司 | Data prediction method, device, equipment and storage medium |
JP2020173810A (en) * | 2019-04-11 | 2020-10-22 | 株式会社日立ソリューションズ | Information management method, information management program, and information management system |
CN113256110A (en) * | 2021-05-25 | 2021-08-13 | 国网山东省电力公司济南市济阳区供电公司 | Method and device for prompting abnormal message of power monitoring system |
-
2021
- 2021-10-12 CN CN202111185736.7A patent/CN113919696A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6499023B1 (en) * | 1999-02-19 | 2002-12-24 | Lucent Technologies Inc. | Data item evaluation based on the combination of multiple factors |
CN105416343A (en) * | 2015-10-26 | 2016-03-23 | 中国铁道科学研究院电子计算技术研究所 | Comprehensive early warning method and system for track construction |
CN109739905A (en) * | 2019-01-10 | 2019-05-10 | 吉林建筑大学 | A kind of pipe gallery fire alarm method and system |
JP2020173810A (en) * | 2019-04-11 | 2020-10-22 | 株式会社日立ソリューションズ | Information management method, information management program, and information management system |
CN111708682A (en) * | 2020-06-17 | 2020-09-25 | 腾讯科技(深圳)有限公司 | Data prediction method, device, equipment and storage medium |
CN113256110A (en) * | 2021-05-25 | 2021-08-13 | 国网山东省电力公司济南市济阳区供电公司 | Method and device for prompting abnormal message of power monitoring system |
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