CN111626444A - Model maintenance dynamic self-adaption method, device and system based on regulation cloud and storage medium - Google Patents
Model maintenance dynamic self-adaption method, device and system based on regulation cloud and storage medium Download PDFInfo
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Abstract
The invention discloses a model maintenance dynamic self-adaptive method based on a regulation cloud, which comprises the steps of obtaining all form lists needing to be maintained for a regulation cloud model object; dynamically creating form attribute controls according to the form list; assigning values to the form attribute controls; registering a control monitoring event of the form attribute control; loading form operation buttons for the form attribute controls; and assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list, and storing the pair of table data. A model maintenance dynamic self-adaptive system, a device and a storage medium based on the regulation cloud are also disclosed. The method and the system can realize the function of dynamic self-adaptive model maintenance according to the metadata of the regulation cloud model and the dynamic change of the data dictionary, and can perform dynamic self-adaptive adjustment on the model maintenance function of the regulation cloud.
Description
Technical Field
The invention relates to a model maintenance dynamic self-adaption method, a device, a system and a storage medium based on a regulation cloud, in particular to a method for dynamically self-adapting maintenance functions of a regulation cloud public data model, a station and equipment model, an abstract container model and the like, and belongs to the technical field of power grids.
Background
With the rapid formation and development of an extra-high voltage large power grid, the characteristics of the power grid are increasingly complex, the characteristics of the operation integration of the power grid are obvious, the demand of dispatching cooperative management of a main grid above a provincial level is strong, a dispatching control support means is objectively needed to be further improved, and the real-time service cooperation of power grid dispatching, the overall planning of power grid arrangement services and the standard unification of dispatching management are supported. At present, each scheduling mechanism respectively builds respective equipment libraries, the equipment structures are not uniform, the equipment parameter expression modes are not consistent, and the serious difficulty is brought to the construction of the whole network equipment model.
The national integration dispatching management model data cloud platform realizes model data standardization modeling, unified dictionary management, unified equipment coding and equipment parameter standardization management according to model data construction technical specifications, provides data quality of equipment parameters and realizes convergence of equipment models of the whole network on the cloud platform. The data maintenance range of the national integration scheduling management model data cloud platform comprises information such as an organization, a power equipment container, an abstract container, power generation equipment, power transmission equipment, power transformation equipment, compensation equipment, direct current equipment, primary energy sources and a public environment, and the subordinate relation, the jurisdiction relation and the connection relation among all object information.
The model maintenance integrated management of the regulation cloud depends on metadata and a data dictionary defined in the regulation cloud 'power scheduling general data object structured design' specification. During the course of the present study, the following problems were found:
(1) dynamic changes in metadata and data dictionaries cannot be automatically perceived. Because the metadata and the data dictionary support the dynamic expansion function, that is, the association between the metadata object type, the object attribute, the table basic information, the table field and the field may be newly added, updated, deleted, validated and invalidated, the primary and secondary model data maintenance of the power grid also needs to be dynamically adapted to the dynamic change of the meta-model structure. The validation and invalidation status of a table or attribute in the metadata can be dynamically perceived. The method can dynamically sense the addition, update and deletion of the table or the attribute in the metadata, and dynamically adapt on a maintenance interface.
(2) The information of attribute type, length, constraint, etc. in the metadata cannot be automatically perceived. Different editing controls such as a text box, a text field or a time selection editor can be automatically displayed on the maintenance interface according to the attribute type, the length and the like in the metadata.
Disclosure of Invention
The invention aims to overcome the defect that a regulation cloud model cannot automatically sense metadata in a regulation cloud power grid model maintenance function in the prior art, and provides a model maintenance dynamic self-adaptive method based on a regulation cloud, which has the following technical scheme:
the model maintenance dynamic self-adaptive method based on the regulation cloud comprises the following steps:
acquiring all form lists required to be maintained by regulating and controlling the cloud model object;
dynamically creating form attribute controls according to the form list;
assigning a value to the form attribute control;
registering a control monitoring event of a form attribute control;
loading form operation buttons for the form attribute control;
and assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list, and storing the form data.
The model maintenance dynamic self-adaptive device based on the regulation cloud comprises
The form list acquisition module is used for acquiring all form lists to be maintained of the regulation and control cloud model object;
the form attribute control creating module is used for dynamically creating a form attribute control according to the form list;
form attribute control assignment used for assigning values to the form attribute control;
the control monitoring event registration module is used for registering a control monitoring event of the form attribute control;
the loading form operation button module is used for loading form operation buttons for the form attribute control;
and the table data storage module is used for assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list and storing the table data.
The model maintenance dynamic self-adaptive system based on the regulation cloud comprises a processor and a storage medium;
a storage medium to store instructions;
the processor is configured to operate in accordance with instructions to perform steps according to any one of the preceding methods.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of the preceding claims.
Compared with the prior art, the invention has the following beneficial effects:
the method can realize the dynamic loading of the form of the regulation cloud object model according to the regulation cloud metadata table, and can realize the correlation analysis among the regulation cloud metadata object type, the object attribute, the table basic information, the table field and the field by following the function of supporting the dynamic expansion of the metadata and the data dictionary on the basis of the regulation cloud metadata and the data dictionary; according to the regulation cloud metadata attribute table, dynamic loading of attribute controls in the form is achieved; after the user maintains the model data and executes the storage operation, the model table data are automatically assembled and the operation log data are modified according to the form and all the attribute controls in the form and are transmitted to the background for storing the data, so that the dynamic self-adaption of the model maintenance function of the regulation cloud is realized. The method and the system can realize the function of dynamic self-adaptive model maintenance according to the metadata of the regulation cloud model and the dynamic change of the data dictionary, and can perform dynamic self-adaptive adjustment on the model maintenance function of the regulation cloud.
Drawings
FIG. 1 is a flow chart of a regulatory cloud based model maintenance dynamic adaptation method of the present invention;
FIG. 2 is a metadata table E-R diagram of a regulatory cloud.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
As shown in fig. 1 and 2, the model maintenance dynamic adaptive method based on the regulatory cloud includes the following steps:
the first step is as follows: acquiring all form lists required to be maintained by regulating and controlling the cloud model object; as shown in fig. 2, a metadata table (MetaTable) of the regulation cloud is queried according to the regulation cloud model object code based on the metadata of the regulation cloud platform to obtain all regulation cloud form lists that need to be maintained for the regulation cloud object model: the method comprises the information of a form mode name, a form English name, a form Chinese name, a form main key and the like, is used as a data basis for creating a form Tab label page, and also provides the most basic data for form data storage. If the table in the metadata is newly added, updated, deleted, validated and invalidated, the form list can be used as a data basis for dynamically creating a form Tab page, and the most basic data is provided for form data storage.
Taking a regulation cloud power PLANT object (object code: 0111) as an example, the metadata table is queried to find a power PLANT related model table, which includes basic power PLANT information (SG _ CON _ PLANT _ B), basic power PLANT information (SG _ CON _ PLANT _ B _ HEAT), basic power PLANT information (SG _ CON _ PLANT _ B _ HYDRO), basic power PLANT information (SG _ CON _ PLANT _ B _ NUCLEAR), and the like.
The second step is that: dynamically creating form attribute controls according to the form list; and if the attributes in the metadata are added, updated, deleted, validated and invalidated, the form attribute control can be dynamically created according to the attribute list. And aiming at each form of the regulation cloud model object, a form Tab label page is circularly and dynamically created, all form attribute lists are obtained by inquiring a regulation cloud metadata table according to the English name of each form, and different form attribute controls are dynamically created according to different attribute types. And circularly constructing a form attribute control according to the form attribute list, setting the ID of the control as the table English name and the attribute English name of the form attribute, setting the FieldLabel of the control as the Chinese name of the form attribute, and setting the control as a mandatory item if the constraint of the attribute is PK or NOT NULL. Specifically, when the form is constructed, a metadata attribute table (MetaProperty) of the regulation cloud is queried according to the English name of the form to obtain a list of form attributes. And acquiring detailed instance data of the model IDs according to the model IDs and the form English name. Taking basic information of a control cloud power PLANT (SG _ CON _ PLANT _ B) as an example, the metadata table is queried to find an attribute list of the basic information of the power PLANT, which includes power PLANT ID (ID), power PLANT NAME (NAME), power PLANT ABBREVIATION (NAME _ abbrevation), affiliated scheduling entity (DCC _ ID), commissioning DATE (operator _ DATE), operation STATE (operator _ STATE), and the like.
And assigning values to the form attribute controls, namely assigning form data to each form attribute control. And assigning the form parameter instance data to each control, and setting whether the form attribute control can be edited according to the permission matrix. And if the user role has read-only permission to the form, all the attribute controls in the form cannot be edited. Otherwise, judging whether the field can be edited according to the interface scheme, if the field is read-only operation, the field cannot be edited, and if the field is not read-only operation, the field can be edited by default.
Registering a control monitoring event of a form attribute control; and registering a listening event of the attribute control if the components or the business logic relationship exists between the components. The method comprises the following steps of (1) acquiring a control according to a table English name and an attribute English name. (2) Snoop events, such as select, change, focus, blu events, are registered for the property control. (3) And defining a handler processing method of the event, if multi-attribute control linkage is needed, acquiring other attribute controls according to the table English name and the attribute name, and then performing related operation on the other attribute controls.
The third step: and creating an operation button list of the form, and loading models with different authority levels to maintain operation buttons based on the authority matrix. And loading form operation buttons for the form attribute control. The fourth step: and aiming at each form of the regulation cloud model object, assembling each form and all corresponding attribute Key-Value Key Value pair data, modifying log data and other information, and submitting the information to a background for storing the data. And assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list, and storing the form data.
In this embodiment, specifically, all form lists to be maintained by the cloud model object are obtained, including the attribute list of the query form and the data of the query form.
In this embodiment, specifically, the table data is saved, and the specific operation steps are as follows:
after the user maintains the form data and performs the saving operation:
(1) acquiring a parent container of a Tab label page where a current form is located; the regulation cloud model object generally has a plurality of forms, each form is a Tab page, and the current form is a currently activated (activated) Tab page.
(2) Traversing all child Tab tags of the parent container; if the Tab label is not activated, the data of the form is not changed, the user does not modify the Tab label and does not need to store the Tab label repeatedly, otherwise, all the attribute controls in the form of the sub-label Tab are traversed, and if a certain attribute value is illegal, namely the checking rule is not satisfied, the checking rule description information is prompted. And if all the attribute control values are legal, encapsulating the form data into model table data by the encapsulating table. If all the attribute values in the sub Tab tag form are legal, then for each attribute control, the < attribute english name, attribute value > is encapsulated into model table data, and if the attribute control is modified, the < attribute chinese name, attribute english name, attribute control original value, attribute control new value > is encapsulated into modified log data. Thus, each form can be assembled into a data format of < table English name, table data, modification log data and table main key >; all child forms of the parent container of the current form are checked and traversed, and if the check is passed, data are packaged and submitted to a background;
if the check fails, all child forms of the parent container of the current form are traversed again.
(3) And finally, transmitting the assembled data object list to a background to store data and recording an operation log.
In this embodiment, the form list includes a form chinese name, a form english name, and form attribute information. As shown in FIG. 2, the form attributes specifically include primary key attributes and non-primary key attributes, such as primary key attribute (ID), non-primary key attribute (NAME, STAMP, OWNER).
In this embodiment, specifically, the form attribute control is dynamically created according to the form list, and includes loading different form controls based on forms of different attribute types. That is, different form controls are loaded according to different form attribute types. If the property types are different, different form controls are dynamically created.
In this embodiment, as a preferred mode, dynamically creating a form property control according to a form list includes:
(1) if the form attribute type is the DATE DATE type, a DATE control is constructed; for example, ext.
(2) If the form property type is a FILE type, a FILE selection control is constructed, such as ext.
(3) If the form property type is a SELECT type, then a drop-down checkbox control is constructed, such as Ext. And the drop-down selection box acquires dictionary data of the drop-down option according to the dictionary table mode name (DicTableModel), the dictionary table (DicTableName), the reference attribute (Diccode), the display attribute (DicName) and the custom filtering SQL script (FilterSQL) associated with the form attribute. If the data value for the attribute is not null, then the initialization is to pre-add only the data value to the pull-down option.
(4) If the form property type is COMBOTREE type, a drop-down tree control is constructed, such as the custom component Ext.
(5) If the form property type is CHECKBOX type, then a multi-box control is constructed, such as Ext.
(6) Form, radio group, if the form property type is a RADIOGOUP type, then a radio box control is constructed, such as Ext.
(7) If the form property type is INTNUM or FLOATNUM, then a digital edit box control is constructed, such as Ext. If the check rule of the attribute value interval exists, adding interval data check rule description prompt information and a check rule expression, such as: (0.9,1).
(8) If the form property type is a GROUP type, a GROUP control is constructed, such as Ext.
(9) If the form property type is a VARCHAR type, a text edit box control is constructed. If the form property length is equal to or greater than 256, a text field editing control, such as Ext. If the form property length is less than 256, a text box editing control, such as ext. And if the form attribute has the regular check rule, adding a regular check rule expression, a check rule description prompt message and the like.
The model maintenance dynamic self-adaptive device based on the regulation cloud comprises
The form list acquisition module is used for acquiring all form lists to be maintained of the regulation and control cloud model object;
the form attribute control creating module is used for dynamically creating a form attribute control according to the form list;
form attribute control assignment used for assigning values to the form attribute control;
the control monitoring event registration module is used for registering a control monitoring event of the form attribute control;
the loading form operation button module is used for loading form operation buttons for the form attribute control;
and the table data storage module is used for assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list and storing the table data.
The model maintenance dynamic self-adaptive system based on the regulation cloud comprises a processor and a storage medium;
a storage medium to store instructions;
the processor is configured to operate in accordance with instructions to perform steps according to any one of the preceding methods.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of the preceding claims.
The method can realize the dynamic loading of the form of the regulation cloud object model according to the regulation cloud metadata table, and can realize the correlation analysis among the regulation cloud metadata object type, the object attribute, the table basic information, the table field and the field by following the function of supporting the dynamic expansion of the metadata and the data dictionary on the basis of the regulation cloud metadata and the data dictionary; according to the regulation cloud metadata attribute table, dynamic loading of attribute controls in the form is achieved; after the user maintains the model data and executes the storage operation, the model table data are automatically assembled and the operation log data are modified according to the form and all the attribute controls in the form and are transmitted to the background for storing the data, so that the dynamic self-adaption of the model maintenance function of the regulation cloud is realized. The method and the system can realize the function of dynamic self-adaptive model maintenance according to the metadata of the regulation cloud model and the dynamic change of the data dictionary, and can perform dynamic self-adaptive adjustment on the model maintenance function of the regulation cloud.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (9)
1. The model maintenance dynamic self-adaptive method based on the regulation cloud is characterized by comprising the following steps:
acquiring all form lists required to be maintained by regulating and controlling the cloud model object;
dynamically creating form attribute controls according to the form list;
assigning values to the form attribute controls;
registering a control monitoring event of the form attribute control;
loading form operation buttons for the form attribute controls;
and assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list, and storing the pair of table data.
2. The regulatory cloud based model dynamic adaptation method of claim 1,
and acquiring all form lists to be maintained of the regulation and control cloud model object, including an attribute list of the query form and data of the query form.
3. The regulatory cloud based model dynamic adaptation method of claim 1,
saving the table data comprises:
all child forms of the parent container of the current form are checked and traversed, and if the check is passed, data are packaged and submitted to a background;
if the check fails, all child forms of the parent container of the current form are traversed again.
4. The regulatory cloud based model maintenance dynamic adaptation method of claim 1, wherein the form list comprises form Chinese names, form English names, and form attributes.
5. The regulatory cloud-based model maintenance dynamic adaptation method of claim 1, wherein dynamically creating form property controls from the form list comprises loading different form controls based on forms of different property types.
6. The regulatory cloud-based model maintenance dynamic adaptation method of claim 4, wherein dynamically creating form property controls from a form list comprises:
if the form attribute type is the DATE DATE type, a DATE control is constructed;
if the form attribute type is a FILE type, a FILE selection control is constructed;
if the form attribute type is the SELECT type, constructing a drop-down selection box control;
if the form attribute type is the COMBOTREE type, constructing a pull-down tree control;
if the form attribute type is the CHECKBOX type, constructing a multi-box control;
if the form attribute type is a RADIOGGROUP type, constructing a radio box control;
if the form attribute type is an INTNUM type or a FLOATNUM type, constructing a digital edit box control;
if the form attribute type is the GROUP type, constructing a GROUP control;
if the form property type is a VARCHAR type, a text edit box control is constructed.
7. The model maintenance dynamic self-adaptive device based on the regulation cloud is characterized by comprising
The form list acquisition module is used for acquiring all form lists to be maintained of the regulation and control cloud model object;
the form attribute control creating module is used for dynamically creating a form attribute control according to the form list;
form attribute control assignment used for assigning the form attribute control;
the control monitoring event registration module is used for registering a control monitoring event of the form attribute control;
the loading form operation button module is used for loading form operation buttons for the form attribute control;
and the table data storage module is used for assembling the form and all attribute Key-Value Key Value pair data corresponding to the form according to the form list and storing the table data.
8. The model maintenance dynamic self-adaptive system based on the regulation cloud is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 6.
9. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN114168133A (en) * | 2021-11-12 | 2022-03-11 | 苏州万店掌网络科技有限公司 | Form packaging method and system |
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| CN111191163A (en) * | 2019-11-11 | 2020-05-22 | 苏州亿歌网络科技有限公司 | Method, device, equipment and storage medium for updating webpage form data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114168133A (en) * | 2021-11-12 | 2022-03-11 | 苏州万店掌网络科技有限公司 | Form packaging method and system |
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