CN117215542A - Custom data processing system and method - Google Patents
Custom data processing system and method Download PDFInfo
- Publication number
- CN117215542A CN117215542A CN202311465973.8A CN202311465973A CN117215542A CN 117215542 A CN117215542 A CN 117215542A CN 202311465973 A CN202311465973 A CN 202311465973A CN 117215542 A CN117215542 A CN 117215542A
- Authority
- CN
- China
- Prior art keywords
- analysis
- data
- module
- configuring
- acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 129
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000004458 analytical method Methods 0.000 claims abstract description 316
- 238000010276 construction Methods 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims description 32
- 230000008569 process Effects 0.000 claims description 31
- 238000007781 pre-processing Methods 0.000 claims description 21
- 238000013500 data storage Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000003672 processing method Methods 0.000 claims description 15
- 238000005457 optimization Methods 0.000 claims description 8
- 238000012986 modification Methods 0.000 abstract description 4
- 230000004048 modification Effects 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 description 41
- 238000009826 distribution Methods 0.000 description 37
- 230000009466 transformation Effects 0.000 description 10
- 230000002159 abnormal effect Effects 0.000 description 7
- 238000011161 development Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 239000011159 matrix material Substances 0.000 description 6
- 238000005070 sampling Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 5
- 238000013480 data collection Methods 0.000 description 4
- 238000012098 association analyses Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000009776 industrial production Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010205 computational analysis Methods 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000003607 modifier Substances 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a custom data processing system and method, the system includes: the universal code construction module is used for constructing a universal bottom logic code, and the universal bottom logic code comprises an editable segment code which corresponds to an analysis object, an acquisition element and an analysis element; an analysis object configuration module for configuring an analysis object based on a user demand; the data acquisition configuration module is used for configuring acquisition elements; an analysis configuration module for configuring analysis elements of the analysis object; the code adjustment module is used for adjusting the corresponding editable segment codes according to the configuration results of the analysis object configuration module, the data acquisition configuration module and the analysis configuration module; and the processing module is used for executing the universal bottom logic code, and automatically analyzing and generating an analysis result according to the acquired data information of the acquisition element corresponding to the analysis object. The application has the technical characteristics of no need of code modification, good expansibility and wide application range when a user configures the data processing system.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a system and method for custom data processing.
Background
Various brands and types of control systems, such as DCS (Distributed Control System distributed control system) and PLC (Programmable Logic Controller programmable logic controller), are used in industrial production. These systems are applied in different sections, areas of the whole production process and are relatively independent, and are not easily interacted with other systems. Along with the gradual transition of industrial production management from rough type to fine type, the enterprise scale gradually expands, the traditional process data of each day by manual statistics or analysis can not meet the requirement of enterprises on the fine data, and the huge-scale control system data volume also enables the workload of management staff on the data analysis to be larger and larger. In the prior art, industrial informatization is vigorously developed, and many production enterprises perform informatization transformation, but the informatization transformation often needs custom development, so that the design development period is long, and when a data processing object needs to be newly added or modified in the later period, the enterprises often cannot modify the data processing object by themselves, secondary development is needed, the design period and the construction period are further prolonged, and the normal production of the enterprises is influenced.
Disclosure of Invention
In view of this, the present application provides a system and a method for custom data processing, so as to solve the technical problem that it is difficult to modify data processing objects and processing methods by themselves during informatization secondary transformation of a manufacturing enterprise.
Specifically, the technical scheme of the application is as follows:
a custom data processing system, comprising:
the universal code construction module is used for constructing a universal bottom logic code, and the universal bottom logic code comprises an editable segment code which corresponds to an analysis object, an acquisition element and an analysis element;
an analysis object configuration module for configuring an analysis object based on a user demand;
the data acquisition configuration module is used for configuring acquisition elements according to user requirements and analysis objects;
the analysis configuration module is used for configuring analysis elements of the analysis object according to the analysis object, the acquisition elements and the user requirements;
the code adjustment module is used for automatically adjusting the corresponding editable segment codes according to the configuration results of the analysis object configuration module, the data acquisition configuration module and the analysis configuration module;
the processing module is used for executing the universal bottom logic code, collecting data information according to the collecting elements corresponding to the analysis object, and automatically analyzing according to the corresponding analysis elements to generate an analysis result.
In some implementations, the analysis object configuration module includes:
the basic information configuration sub-module is used for configuring basic information of the analysis object, and the basic information comprises: the method comprises the steps of inputting basic information when a user configures the basic information, and/or selecting from preset basic information;
The analysis object selection sub-module is used for selecting a second analysis object from the analysis objects according to the user requirements;
the processing module is also used for automatically analyzing the second analysis object according to the configuration result of the analysis configuration module and the analysis object selection sub-module when the universal bottom logic code is executed, and generating a second analysis result.
In some implementations, the data acquisition configuration module includes:
the acquisition element configuration submodule is used for configuring acquisition elements according to the basic information, and the acquisition elements comprise: acquisition period and acquisition threshold;
the data storage collection sub-module is used for setting data storage conditions according to the data storage requirements of users, and storing data information meeting the data storage conditions when the processing module executes the bottom logic codes.
In some implementations, the analysis configuration module includes:
the preprocessing sub-module is used for configuring a data processing period and a data processing method according to the analysis object, configuring field relation to process non-homogeneous data, and generating a preprocessing result when the processing module executes a universal bottom layer logic code;
and the analysis element sub-module is used for configuring a data calculation model and a data analysis formula according to the user requirements, and calculating and analyzing the preprocessing result when the processing module executes the bottom logic code to generate an analysis result.
In some implementations, a custom data processing system further includes:
the data display module is used for configuring analysis result display patterns according to the requirements of users;
the data display module comprises:
the report configuration sub-module is used for configuring the form style and the form content and displaying the analysis result in the form;
the chart configuration sub-module is used for configuring chart styles and chart contents and displaying analysis results in a chart form;
the data display module is also used for displaying the analysis result according to the analysis result display style after the configuration is completed when the processing module executes the universal bottom logic code.
In some implementations, a custom data processing system further includes:
and the system load optimization module is used for recording the period of the data information collected by the processing module and carrying out system optimization by combining the data processing pressure of the custom data processing system.
In some implementations, a custom data processing system further includes:
the code editing module is used for displaying and editing the universal bottom logic code, and correspondingly adjusting the configuration contents of the analysis object configuration module, the data acquisition configuration module and the analysis configuration module when the user edits the editable segment code.
Based on the same technical conception, the application also provides a self-defined data processing method which is applied to the self-defined data processing system in any implementation mode, and comprises the following steps:
configuring an analysis object based on user requirements in a window presented by an analysis object configuration module;
configuring acquisition elements according to user requirements and analysis objects in a window presented by a data acquisition configuration module;
and configuring analysis elements of the analysis object according to the analysis object, the acquisition elements and the user requirements in a window presented by the analysis configuration module.
In some implementations, the analysis object is configured based on user requirements, specifically including:
configuring basic information of an analysis object, wherein the basic information comprises: the method comprises the steps of (1) inputting basic information and/or selecting among preset basic information when configuring a data name, a data type, acquisition drive and acquisition frequency;
selecting a second analysis object from the analysis objects according to the user requirements;
configuring acquisition elements according to user requirements and analysis objects, wherein the acquisition elements specifically comprise:
setting data acquisition conditions according to the basic information;
setting data storage conditions according to the data storage requirements of users;
The configuration analysis element of the analysis object specifically includes:
according to the analysis object, configuring a data processing period and a data processing method, and configuring field relation to process non-homogeneous data in data information;
and configuring a data calculation model and a data analysis formula according to the requirements of the user.
In some implementations, a custom data processing method further includes: in a window presented by the data presentation module, configuring an analysis result presentation style according to the user requirement;
when the user demand is that the analysis result is displayed in a report form, configuring a form style and form contents;
and when the user demand is that the analysis result is displayed in a chart form, configuring chart styles and chart contents.
Compared with the prior art, the application has at least one of the following beneficial effects:
1. in the custom data processing system, a user can configure an analysis object through an analysis object configuration module, configure a data acquisition element through a data acquisition configuration module and configure the analysis element through the analysis configuration module according to the data processing requirement of the control system, automatically process and modify the whole data, and automatically adjust the editable segment codes reserved in advance by a universal code construction module through a code adjustment module without realizing a data processing process in a mode of modifying the codes by the user.
2. The second analysis object can be selected again from the analysis objects according to the user demands by the analysis object selection sub-module, so that when a certain object in the analysis objects fails or does not need to be analyzed, the selected second analysis object is analyzed, and when the processing module executes the universal bottom logic code, the analysis is also performed according to the configuration result of the analysis configuration module, and the second analysis result is obtained.
3. When data analysis is carried out, a user can configure a data processing period and a data processing method in the preprocessing submodule independently, and the user can more conveniently and rapidly carry out data processing configuration by respectively preprocessing similar data and non-similar data.
4. When the data is displayed, a user can configure the patterns of the analysis results to be displayed independently through the data display module, such as chart analysis and form analysis, and the analysis results are visualized, so that the management personnel can know the whole production flow more pertinently.
5. Through the system load optimization module, the system optimization can be performed aiming at the processing period and the data processing pressure of the whole system when the processing module performs data processing, and the data processing efficiency is improved.
Drawings
The above features, technical features, advantages and implementation of the present application will be further described in the following description of preferred embodiments with reference to the accompanying drawings in a clear and easily understood manner.
FIG. 1 is a block diagram of one embodiment of a custom data processing system in accordance with the present application;
FIG. 2 is a block diagram illustrating one embodiment of a custom data processing system in accordance with the present application;
FIG. 3 is a block diagram of another embodiment of a custom data processing system in accordance with the present application;
FIG. 4 is a flow chart of one embodiment of a custom data processing method of the present application;
FIG. 5 is a flow chart of another embodiment of a custom data processing method of the present application;
FIG. 6 is a flow chart of one embodiment of a custom data processing system of the present application.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will explain the specific embodiments of the present application with reference to the accompanying drawings. It is evident that the drawings in the following description are only examples of the application, from which other drawings and other embodiments can be obtained by a person skilled in the art without inventive effort.
For simplicity of the drawing, only the parts relevant to the application are schematically shown in each drawing, and they do not represent the actual structure thereof as a product. Additionally, in order to simplify the drawing for ease of understanding, components having the same structure or function in some of the drawings are shown schematically with only one of them, or only one of them is labeled. Herein, "a" means not only "only this one" but also "more than one" case.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In this context, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, unless explicitly stated or limited otherwise; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
In addition, in the description of the present application, the terms "first," "second," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
In each production process of a production enterprise, a complete production control process is mostly realized through a PLC (programmable logic controller) system or a DCS (distributed control system) system and the like, and specific parameters of a certain point in the production process do not exist independently in the whole production process, so that engineers or management staff often need specific parameter processing and data analysis of a plurality of points to carry out equipment overhaul, production plan setting and adjustment, fault investigation and other works in a targeted manner when carrying out production process data analysis. Along with the continuous development of informatization, manufacturers start to carry out informatization transformation on the production flow, and all system parameters can be obtained through a central control room. However, the problem of difficult secondary development generally exists in informatization transformation of the production enterprises at present, mainly because in the informatization transformation process, a plurality of data point positions are collected and various data processing are performed by depending on a system completed by a developer, and the completed system is used for modifying a specific collection object and a specific data processing rule in the background, so that the modifier is often required to have code writing capacity similar to the level of the developer, and meanwhile, the problem of the whole automatic data processing system is easily caused. The time required for secondary development is long, and the method is difficult to adapt to the continuous production process of a production enterprise, for example, in an oil refining enterprise, continuous operation is carried out for 24 hours, and the production period and the product supply can be influenced by secondary informatization transformation. Therefore, from the perspective of a user, the application converts the code modification flow into the method that the user directly sets the analysis object, the acquisition element and the analysis element in a window of a specific operation, and after the configuration is carried out, the bottom logic code can be correspondingly adjusted, thereby avoiding the problem that the user directly faces to code modification and realizing that the user can directly and independently carry out secondary transformation and maintenance on the data processing system.
In one embodiment, referring to fig. 1 of the specification, the present application provides a custom data processing system, including:
the universal code construction module 10 is used for constructing a universal bottom layer logic code, wherein the universal bottom layer logic code comprises an editable section code, and the editable section code corresponds to an analysis object, an acquisition element and an analysis element;
specifically, the universal code construction module 10 is used for constructing a data processing system of the whole production control system when a developer establishes informatization of the whole production control system, so that subsequent processes of data acquisition, data analysis, data display and the like can be normally executed, and therefore, the processes are completed, codes realized in the whole data processing process are ensured to be universal bottom logic codes, and the universal bottom logic codes also comprise editable section codes, which are changed according to specific configurations of analysis objects, acquisition elements and analysis elements by a user, for example, when the user inputs or selects the analysis objects, the editable section codes are subjected to code adjustment according to the input or selected analysis objects, specific position numbers of the analysis objects are automatically edited at reserved code positions, for example, the position number of a 1# power distribution cabinet is PD01, and then the corresponding code sections are added with PD01, so that parameters such as voltage, current and temperature of PD01 are acquired when the program is executed.
An analysis object configuration module 20 for configuring an analysis object based on a user's demand;
specifically, the analysis object configuration module 20 is configured by a user to set an object to be subjected to data analysis by the data processing system, where the whole production control system includes a plurality of devices to be checked and analyzed, and when one transformation is performed, all the devices may be subjected to data acquisition and analysis, and all the devices are included in the process of data processing. However, when an engineer or manager performs fault analysis, production plan adjustment or extension transformation, old equipment needs to be moved out of the system or new equipment needs to be brought into the system, and in the conventional technology, the code of the data processing system needs to be modified, so that operations such as removal or addition are realized, and the subsequent data processing process can be accurately executed; through the analysis object configuration module 20, a user can flexibly configure the analysis object according to own requirements without using codes, and set one or more data analysis subjects, so as to realize a more flexible data analysis process.
A data acquisition configuration module 30 for configuring acquisition elements according to user requirements and analysis objects;
specifically, the data acquisition configuration module 30 can perform autonomous setting according to the data analysis requirement and the analysis object acquisition requirement of the user. For example, the voltage and the current of a certain switch cabinet are collected, the voltage and the current of the switch cabinet are always subjected to tiny change at any time, the fluctuation in a certain range can occur only when electric equipment acts, the time collection voltage and the current are not more useful for the production control process on one hand, and the data collected at any time are more pressure for the data processing of the whole system on the other hand. Therefore, the user usually collects the voltage or the current within a certain period range, for example, once every 5ms, or cooperates with the relay protection device, and the setting is performed according to the detection period of the relay protection device, so that the setting collection period does not affect the production requirement. Or the abnormal voltage is collected, when the voltage of a certain switch cabinet fluctuates within the normal range of 380V plus or minus 2V, the abnormal voltage is collected once when the voltage fluctuation exceeds plus or minus 2V, and the efficiency of finding abnormal problems in the production process of a user is more facilitated. Thus, the acquisition element is a condition set when an analysis object is acquired, including but not limited to an acquisition period and an acquisition limit.
An analysis configuration module 40, configured to configure analysis elements of the analysis object according to the analysis object, the collection elements and the user requirements;
specifically, the analysis configuration module 40 may perform specific analysis on the collected analysis object according to the data analysis requirement and the configuration result of the configuration analysis object configuration module 20 and the data collection configuration module 30, and the analysis elements may be set by the user, or may be input according to a preset rule, or may be configured by the user according to a preset content, or may be a combination of the two. For example, the power of the 1# power distribution cabinet, the 2# power distribution cabinet and the 3# power distribution cabinet is counted, in the analysis object configuration module 20, the user selects the 1# power distribution cabinet and the 3# power distribution cabinet, and selects and analyzes the current and the voltage of the two power distribution cabinets, in the data acquisition configuration module 30, the user configures one acquisition period every 10 ms. When the user sets in the analysis configuration module 40, a power calculation formula can be set, and meanwhile, the power in each collection period of the 1# power distribution cabinet and the 3# power distribution cabinet is calculated, namely, the power is obtained through the sampling value of the current and the sampling value of the voltage, the power analysis formula is set to be p1=sqr (3) ×u1×i1×cos phi, calculation symbols can be input by the user, the system can be identified, and the user can select the symbols through preset. For some letters which are not easily distinguished, such as power P and pressure P, some distinguishing features, such as power when Pw is input and pressure when Pa is input, may be preset. The result type may also be selected directly by the user, i.e. the user clicks directly on the analysis configuration module 40 window to select the power or pressure. Meanwhile, when the analysis configuration module 40 is configured, an obvious flag may be set for a case of a certain analysis result, for example, when the analysis result generated after the configured analysis element is greater than a preset value, the analysis result is highlighted or distinguished from other data by means of color or the like.
The code adjustment module 50 is configured to automatically adjust the corresponding editable segment code according to the configuration results of the analysis object configuration module 20, the data acquisition configuration module 30 and the analysis configuration module 40;
specifically, the code adjustment module 50 is a link that connects the generic code construction module 10 with the analysis object configuration module 20, the data acquisition configuration module 30, and the analysis configuration module 40, and configures the analysis object by the analysis object configuration module 20 according to a certain rule or selection by a user, configures the acquisition elements for the data acquisition configuration module 30, and converts these configuration contents into a code form after the analysis elements are configured for the analysis configuration module 40, so as to adjust the editable segment code in the generic underlying logic code.
The processing module 60 is configured to execute the universal bottom logic code, collect data information according to the collection element corresponding to the analysis object, and automatically analyze according to the corresponding analysis element, so as to generate an analysis result.
Specifically, in the execution process of the processing module 60 on the universal bottom layer logic code, the whole process of processing data by the self-defined data processing system is completed, the data collected by the PLC or the OPC is collected according to the analysis object configured by the analysis object configuration module 20, the configuration result of the data collection configuration module 30 is combined, and the data analysis is completed by analyzing the analysis elements configured by the configuration module 40.
In one implementation, referring to FIG. 2 of the drawings, analysis object configuration module 20 includes:
a basic information configuration sub-module 21, configured to configure basic information of an analysis object, the basic information including: the method comprises the steps of inputting basic information when a user configures the basic information, and/or selecting from preset basic information;
specifically, when the custom data processing system selects an analysis object, positioning is required according to basic information of the analysis object, for example, when data processing is performed, specific data name, data type, acquisition drive and acquisition frequency of the acquisition drive need to be configured, for example, in a data unit, the data name is flow of a certain point, the data type of the point belongs to control system data (the data type can also be manually input and set according to the use characteristics of a user), and the equipment drive for acquiring the data is a specific OPC and the acquisition frequency of the acquisition drive. The above content may be manually input by a user, and identified when the subsequent code adjustment module 50 adjusts the editable segment code, or may be preset to a data name, a data type, an acquisition driver, and an acquisition frequency of the acquisition driver, for example, select from existing data names, pull down, and select the data type.
An analysis object selection sub-module 22, configured to select a second analysis object from the analysis objects according to a user requirement;
the processing module 60 is further configured to automatically analyze the second analysis object according to the configuration results of the analysis configuration module 40 and the analysis object selection sub-module 22 when executing the universal underlying logic code, and generate a second analysis result.
Specifically, after the basic information configuration sub-module 21 is configured, the analysis object has been selected in practice, and at this time, the analysis object selecting sub-module 22 may select a second analysis object again from the analysis objects that have been selected, so as to further refine the analysis objects, which is helpful for the user to select a part of the analysis objects for analysis in combination with the actual situation after performing data analysis on the whole analysis objects. For example, after the basic information configuration sub-module 21 completes the basic information configuration of the 1# to 4# points, only the content of the 2# point and the 3# point is analyzed, and then the content can be selected by the analysis object selecting sub-module 22, and during the subsequent data analysis, only the 2# point and the 3# point are analyzed, which plays a role in the analysis of local problems for the user.
In one implementation, referring to fig. 2 of the specification, the data acquisition configuration module 30 includes:
The collecting element configuration sub-module 31 is configured to configure collecting elements according to the basic information, where the collecting elements include: acquisition period and acquisition threshold;
specifically, the analysis object configured by the analysis object configuration module 20 may be analyzed after being sampled, so the acquisition element configuration sub-module 31 sets some acquisition elements according to the requirement of the user and the basic information of the analysis object, for example, sets an acquisition period and an acquisition threshold of the analysis object, samples in a preset period, acquires data reaching or within the preset threshold, finds data information conforming to the user data acquisition, analyzes the data acquired without time and filters some useless data.
The collected data storage sub-module 32 is configured to set data storage conditions according to data storage requirements of a user, and store data information that meets the data storage conditions when the processing module 60 executes the underlying logic code.
Specifically, the custom data processing system can store data of the collected analysis object in the data processing process, can select to store all collected contents, can preset storage conditions and have vector release, and can effectively optimize the custom data processing system by storing data meeting the conditions, so that the system is prevented from occupying a cache and a storage space by garbage. The stored valuable analysis object data has a key effect on the trace-back tracing of the user fault analysis, and the analysis of the historical data can help the user to accurately grasp various problems existing in the production link.
In one implementation, referring to FIG. 2 of the drawings, the analysis configuration module 40 includes:
a preprocessing sub-module 41, configured to configure a data processing period and a data processing method according to an analysis object, and configure a field relationship to process non-homogeneous data, and generate a preprocessing result when the processing module 60 executes a general underlying logic code;
specifically, for the collected data information of the analysis object, some data information is not directly usable for data analysis, and needs to be preprocessed. And the data information contains the same kind of data and different kinds of data. Preprocessing the same kind of data can be performed in a form of longitudinally compressed data, the same kind of data in a certain preset period is preprocessed according to a certain condition, for example, the obtained data within 1min is extracted according to a maximum value and a minimum value, or the average value or the summation of the same kind of data collected within 1min is obtained. The data processing period and the data processing method are set through user configuration, when the user configuration is performed, for example, when data of 3 data units are preprocessed, the similar data are current data, the preprocessing target is average value, the period is set to 60S, the user inputs T1 = 60S, targets (1#, 2#, 3#), AVE (I1, I2, I3) ", preprocessing of analysis objects is completed, the data processing period is 60 seconds, and average currents of the analysis object 1# power distribution cabinet, the analysis object 2# power distribution cabinet and the analysis object 3# power distribution cabinet are obtained. For non-similar data, in the subsequent steps, the power of each power distribution cabinet of the 1# to 3# power distribution cabinets needs to be known, when the processing is performed, the non-similar data such as current data, voltage data and power factors of the system are combined to generate the power of one power distribution cabinet, the preprocessing sub-module 41 performs field analysis on the data names of the current and the voltage to identify the content represented by the data, and a specific calculation formula is set by a user And calculating to obtain power. For example, if the current of the 1# power distribution cabinet is I1 and the voltage is U1, the user inputs "Target (1 #), p=sqr (3) ×i1×i1×cos phi", when calculating the respective powers of the 1# to 3# power distribution cabinets, the currents I1, I2, I3 are actually the currents respectively belonging to the three power distribution cabinets, and the voltages U1, U2, U3 are actually the voltages respectively belonging to the three power distribution cabinets, so that when calculating, the matrix of the respective powers, i.e., i= (I1, I2, I3) can be directly obtained by the calculation of the matrix T ，U=（U1,U2,U3） T P=spr (3) ×i×u×cos Φ, to obtain a power matrix p= (P1, P2, P3) T The superscript T denotes a transpose.
The analysis element sub-module 42 is configured to configure a data calculation model and a data analysis formula according to a user requirement, and calculate and analyze the preprocessing result when the processing module 60 executes the underlying logic code, so as to generate an analysis result.
Specifically, after the analysis object is collected and the analysis object is preprocessed, final data analysis is required to be performed, so that a system data analysis result which is wanted by a user is generated, for example, in the power management process, the user wants to know the total power consumption condition or the production power consumption condition, when the data analysis is performed, the total power consumption condition needs to be calculated by connecting the power of a plurality of switch cabinets with the time period, the power of each switch cabinet needs to be acquired firstly in the data processing process, then the time period is set, for example, the time of 24 hours in the previous day in the production system, the user can input according to the preset analysis element processing rule, and the calculation of the symbol and the object can be performed by selecting the mode. For example, the form input by the user may be represented as "w= (p1+p2+p3) t", the form of selecting the analysis element by the user may be represented as having a plurality of slots capable of being filled with the analysis objects and the analysis elements in the interface of the analysis element sub-module 42, and in order to implement "w= (p1+p2+p3) t", the slots are filled with the analysis objects and the analysis elements such as "W" = "(" P1 "+") and the like, and the user selects the operations of adding, subtracting, multiplying and dividing and the like in the interface, wherein P1 points to the 1# switch cabinet, P2 points to the 2# switch cabinet, and P3 points to the 3# switch cabinet, t is set by the user independently, a unit may be preset, and then a time period is set, for example, 24 hours, wherein P1 to P3 are electric power data processed by the preprocessing link, so that the whole configuration process of the analysis element sub-module 42 is completed.
In one implementation, a custom data processing system, referring to FIG. 3 of the specification, further comprises:
a data display module 70, configured to display a style according to the analysis result of the user's requirement;
the data presentation module 70 includes:
the report configuration sub-module is used for configuring the form style and the form content and displaying the analysis result in the form;
the chart configuration sub-module is used for configuring chart styles and chart contents and displaying analysis results in a chart form;
the data display module 70 is further configured to display the analysis result according to the configured analysis result display style when the processing module 60 executes the universal underlying logic code.
Specifically, when a user manages the whole production flow through a custom data processing system, two modes exist, namely an engineer or a skill operator monitors the whole production management data in real time in a central control room, and the abnormal production condition and the production process control are effectively controlled through analysis objects, acquisition elements, analysis elements and other contents configured by the user, so that various problems are timely processed. Another way is for the manager to review production data items over a period of time, thereby planning production plans. In the latter approach, the manager often does not pay attention to the various real-time data presented in the central office, but rather to the periodic data of the production process. Typically, the information is obtained mainly from daily reports (charts), monthly reports (charts) or annual reports (charts), and therefore, a custom data processing system is required to report the information. However, the report and the chart with large time span often involve huge data, the manufacturing difficulty is high, human resources are greatly consumed in the manufacturing process, and even if part of the data processing system can automatically generate, some details cannot be adjusted by a user. Thus, in a custom data processing system, a user may perform this task by configuring the data presentation module 70 according to the actual needs. When the user needs to generate the report, the configuration of the report content can be performed in the report configuration sub-module, the analysis result obtained by processing the analysis object basic information and the processing module 60 can be divided according to a certain time, for example, the report name is set in the table title, and the association analysis is about what aspect of the data of the report analysis, for example, the capacity analysis. And meanwhile, specific contents such as specific information of date, yield, energy consumption, productivity, workshops and the like are set in the table header. When generating the report, the report configuration submodule directly acquires corresponding information to complete the generation of the whole report.
In one implementation, a custom data processing system further comprises:
the system load optimization module is used for recording the period of the data information collected by the processing module 60 and carrying out system optimization by combining the data processing pressure of the custom data processing system.
In one implementation, a custom data processing system, referring to FIG. 3 of the specification, further comprises:
the code editing module 80 is configured to present and edit the universal underlying logic code, and correspondingly adjust the configuration content of the analysis object configuration module 20, the data acquisition configuration module 30, and the analysis configuration module 40 when the user edits the editable segment code.
Specifically, the design purpose of the custom data processing system is to enable users such as engineers to flexibly configure analysis objects, acquisition elements and analysis elements of the whole data processing system through module demonstration operation without code editing, thereby realizing autonomous data processing, and helping users to secondarily reform or routinely modify the data processing system on the premise of not having program writing capacity and the knowledge of the whole system program. However, some engineers have the capability of editing programs, and direct editing programs may be more accurate and quicker than window input and selection processes for more complex computational analysis processes, so that for this part of engineers, the custom data processing system sets the code editing module 80, so that the engineers can directly edit the editable segment codes of the universal bottom logic code through the code editing module 80, thereby improving the flexibility of the whole configuration process of the custom data processing system.
Based on the same technical conception, the application also provides a custom data processing method, and referring to fig. 4 of the specification, the custom data processing system applied to any one of the embodiments described above comprises the following steps:
s100, configuring an analysis object based on user requirements in a window presented by an analysis object configuration module;
specifically, the analysis object configuration module is configured by a user in the data processing system to be subjected to data analysis, the whole production control system comprises a plurality of devices to be checked and analyzed, and the user can flexibly configure the analysis object according to own requirements in a window presented by the analysis object configuration module without using codes, so that one or more data analysis subjects are set, and a more flexible data analysis process is realized. For example, when data analysis is performed on several pipelines in a production system, the acquisition equipment arranged on each pipeline is selected, so that data such as flow, pressure and temperature can be obtained from the acquisition equipment.
S200, configuring acquisition elements according to user requirements and analysis objects in a window presented by a data acquisition configuration module;
specifically, the user autonomously sets the data analysis requirement and the analysis object acquisition requirement through the window presented by the data acquisition configuration module. For example, the voltage and the current of a certain switch cabinet are collected, the voltage and the current of the switch cabinet are always subjected to tiny change at any time, the fluctuation in a certain range can occur only when electric equipment acts, the time collection voltage and the current are not more useful for the production control process on one hand, and the data collected at any time are more pressure for the data processing of the whole system on the other hand. Therefore, the user usually collects the voltage or the current within a certain period range, for example, once every 5ms, or cooperates with the relay protection device, and the setting is performed according to the detection period of the relay protection device, so that the setting collection period does not affect the production requirement. Or the abnormal voltage is collected, when the voltage of a certain switch cabinet fluctuates within the normal range of 380V plus or minus 2V, the abnormal voltage is collected once when the voltage fluctuation exceeds plus or minus 2V, and the efficiency of finding abnormal problems in the production process of a user is more facilitated. Thus, the acquisition element is a condition set when an analysis object is acquired, including but not limited to an acquisition period and an acquisition limit. The analysis object which is configured is presented in the window, the user can select a specific analysis object, and set the collection element of the object, for example, the object is a current value, the collection element can be set to collect once when the current is greater than 10A, the manner is that the collection element of the threshold value is set, the periodic setting can be also adopted, the current is collected once every 1min, and the like, and the configuration of the collection element is carried out from the aspects of the threshold value and the period, and is not limited in particular.
S300, in a window presented by the analysis configuration module, according to the analysis object, the acquisition element and the user requirement, the analysis element of the analysis object is configured.
Specifically, in the window presented by the analysis configuration module, the user performs specific analysis on the collected analysis object according to the data analysis requirement and the configuration results of the configuration analysis object configuration module and the data collection configuration module, and the user sets analysis elements in the window, which can be input according to preset rules, or can be configured by selecting according to preset contents, or can be a combination of the two. For example, the power of the 1# power distribution cabinet, the 2# power distribution cabinet and the 3# power distribution cabinet is counted, in the analysis object configuration module, a user selects the 1# power distribution cabinet and the 3# power distribution cabinet, the current and the voltage of the two power distribution cabinets are selectively analyzed, and in the data acquisition configuration module, the user configuration is carried out every 10ms for one acquisition period. When a user sets in the analysis configuration module, a power calculation formula can be set, meanwhile, the power in each acquisition period of the 1# power distribution cabinet and the 3# power distribution cabinet is calculated, namely, the power is obtained through a sampling value of current and a sampling value of voltage, the power analysis formula is set to P1=sqr (3) ×U1×I1×cos phi, calculation symbols can be input by the user, the system can be identified, and the user can select the symbols through preset. For some letters which are not easily distinguished, such as power P and pressure P, some distinguishing features, such as power when Pw is input and pressure when Pa is input, may be preset. The result type can also be selected directly by the user, i.e. the user clicks directly on the analysis configuration module window to select the power or pressure.
In one implementation, referring to fig. 5 of the specification, the configuration analysis object based on the user requirement specifically includes:
s110, configuring basic information of an analysis object, wherein the basic information comprises: the method comprises the steps of (1) inputting basic information and/or selecting among preset basic information when configuring a data name, a data type, acquisition drive and acquisition frequency;
specifically, when the user selects the analysis object in the custom data processing system, positioning is required according to the basic information of the analysis object, for example, when data processing is performed, specific data name, data type, acquisition drive and acquisition frequency of the acquisition drive are required to be configured, for example, in a data unit, the data name is flow of a certain point, the data type of the point belongs to control system data (the data type can also be manually input and set according to the use characteristics of the user), and the equipment drive for acquiring the data is a specific OPC and the acquisition frequency of the acquisition drive. The above content has a basic information configuration sub-module in a window presented by the configuration analysis object configuration module, where the user can manually input the basic information configuration sub-module, identify the basic information when the subsequent code adjustment module adjusts the editable segment code, and preset the data name, the data type, the acquisition drive and the acquisition frequency of the acquisition drive, for example, select the basic information configuration sub-module from the existing data names, and pull down and select the content such as the data type.
S120, selecting a second analysis object from the analysis objects according to the user requirements;
specifically, after the user configures the basic information configuration sub-module, the analysis object is actually selected, at this time, the user can select a second analysis object again from the analysis objects which are already selected in the window presented by the analysis object selection sub-module, so as to further refine the analysis object, which is helpful for the user to select a part of analysis objects for analysis in combination with actual conditions after data analysis is performed on the whole analysis object. For example, after the basic information configuration submodule completes the basic information configuration of the 1# to 4# points, only the contents of the 2# point and the 3# point are analyzed, the analysis object selection submodule can be used for selecting, and only the 2# point and the 3# point are analyzed in the subsequent data analysis, so that the analysis of local problems of users is helpful.
Configuring acquisition elements according to user requirements and analysis objects, wherein the acquisition elements specifically comprise:
s210, setting data acquisition conditions according to the basic information;
specifically, the user can perform analysis by configuring the analysis object configured in the window presented by the analysis object configuration module, so that the user is required to set some acquisition elements in the acquisition element configuration sub-module according to the needs of the user and the basic information of the analysis object, for example, set the acquisition period and the acquisition threshold of the analysis object, perform sampling in a preset period, acquire data reaching the preset threshold or within the threshold, find data information conforming to the data acquisition of the user, perform analysis, and filter the data and some useless data which do not need to be acquired at any time.
S220, setting data storage conditions according to the data storage requirements of users;
specifically, in the process of data processing, a user can perform data storage configuration on the collected analysis objects through a window presented by the data collection and storage submodule according to actual demands and storage load capacity of the system, so that collected contents can be selected to be stored completely, storage conditions can be preset, and certain vector placement is performed, and data meeting the conditions can be stored to effectively optimize the self-defined data processing system, so that the system is prevented from occupying a cache and a storage space by useless information. The stored valuable analysis object data has a key effect on the trace-back tracing of the user fault analysis, and the analysis of the historical data can help the user to accurately grasp various problems existing in the production link.
The configuration analysis element of the analysis object specifically includes:
s310, configuring a data processing period and a data processing method according to an analysis object, and configuring field relation to process non-similar data in data information;
s320, configuring a data calculation model and a data analysis formula according to the requirements of the user.
Specifically, for the collected data information of the analysis object, some data information is not directly usable for data analysis, and needs to be preprocessed. And the data information contains the same kind of data and different kinds of data. Preprocessing the same kind of data can be performed in a form of longitudinally compressed data, the same kind of data in a certain preset period is preprocessed according to a certain condition, for example, the obtained data within 1min is extracted according to a maximum value and a minimum value, or the average value or the summation of the same kind of data collected within 1min is obtained. The data processing period and the data processing method are set through user configuration, when the user configuration is performed, for example, when data of 3 data units are preprocessed, the similar data are current data, the preprocessing target is average value, the period is set to 60S, the user inputs T1 = 60S, targets (1#, 2#, 3#), AVE (I1, I2, I3) ", preprocessing of analysis objects is completed, the data processing period is 60 seconds, and average currents of the analysis object 1# power distribution cabinet, the analysis object 2# power distribution cabinet and the analysis object 3# power distribution cabinet are obtained. Aiming at non-similar data, in the subsequent steps, the power of each power distribution cabinet of the 1# to 3# power distribution cabinets is required to be known, when the processing is carried out, the non-similar data such as current data, voltage data and power factors of a system are combined to generate the power of one power distribution cabinet, a preprocessing sub-module carries out field analysis on the data names of the current and the voltage to identify the content represented by the data, And setting a specific calculation formula by a user, and calculating to obtain the power. For example, if the current of the 1# power distribution cabinet is I1 and the voltage is U1, the user inputs "Target (1 #), p=sqr (3) ×i1×i1×cos phi", when calculating the respective powers of the 1# to 3# power distribution cabinets, the currents I1, I2, I3 are actually the currents respectively belonging to the three power distribution cabinets, and the voltages U1, U2, U3 are actually the voltages respectively belonging to the three power distribution cabinets, so that when calculating, the matrix of the respective powers, i.e., i= (I1, I2, I3) can be directly obtained by the calculation of the matrix T ，U=（U1,U2,U3） T P=spr (3) ×i×u×cos Φ, to obtain a power matrix p= (P1, P2, P3) T The superscript T denotes a transpose.
In one implementation, a method for processing custom data, referring to fig. 6 of the specification, further includes:
s400, configuring analysis result display patterns according to user requirements in a window presented by a data display module;
when the user demand is that the analysis result is displayed in a report form, configuring a form style and form contents;
and when the user demand is that the analysis result is displayed in a chart form, configuring chart styles and chart contents.
Specifically, in the custom data processing system, the user can complete the output expression form of the analysis result by configuring the window presented by the data display module according to the actual requirement. For example, when the user needs to generate the report from the analysis result, the configuration of the report content can be performed in the report configuration sub-module, the analysis result obtained by processing the analysis object basic information and the processing module can be divided according to a certain time, for example, the report name and the association analysis are set in the table title, and the association analysis is about what aspect of the data of the report analysis, for example, the capacity analysis. And meanwhile, specific contents such as specific information of date, yield, energy consumption, productivity, workshops and the like are set in the table header. When generating the report, the report configuration submodule directly acquires corresponding information to complete the generation of the whole report.
It should be noted that the above embodiments can be freely combined as needed. The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (10)
1. A custom data processing system, comprising:
the universal code construction module is used for constructing a universal bottom layer logic code, wherein the universal bottom layer logic code comprises an editable segment code, and the editable segment code corresponds to an analysis object, an acquisition element and an analysis element;
an analysis object configuration module for configuring the analysis object based on user requirements;
the data acquisition configuration module is used for configuring the acquisition elements according to the user requirements and the analysis object;
the analysis configuration module is used for configuring the analysis element of the analysis object according to the analysis object, the acquisition element and the user requirement;
the code adjustment module is used for automatically adjusting the corresponding editable segment codes according to the configuration results of the analysis object configuration module, the data acquisition configuration module and the analysis configuration module;
And the processing module is used for executing the universal bottom logic code, collecting data information according to the collecting elements corresponding to the analysis object, and automatically analyzing according to the corresponding analysis elements to generate an analysis result.
2. The custom data processing system of claim 1, wherein the analysis object configuration module comprises:
a basic information configuration sub-module, configured to configure basic information of the analysis object, where the basic information includes: the method comprises the steps of inputting basic information when a user configures the basic information, and/or selecting from preset basic information;
the analysis object selection sub-module is used for selecting a second analysis object from the analysis objects according to the user requirements;
and the processing module is also used for automatically analyzing the second analysis object according to the analysis configuration module and the configuration result of the analysis object selection sub-module when the universal bottom logic code is executed, and generating a second analysis result.
3. The custom data processing system of claim 2, wherein the data acquisition configuration module comprises:
The acquisition element configuration submodule is used for configuring the acquisition element according to the basic information, and the acquisition element comprises: acquisition period and acquisition threshold;
and the acquired data storage sub-module is used for setting data storage conditions according to the data storage requirements of users, and storing data information conforming to the data storage conditions when the processing module executes the bottom logic codes.
4. The custom data processing system of claim 1, wherein the analysis configuration module comprises:
the preprocessing sub-module is used for configuring a data processing period and a data preprocessing method according to the analysis object, configuring a field relation to process non-similar data, and generating a preprocessing result when the processing module executes the universal bottom layer logic code;
and the analysis element sub-module is used for configuring a data calculation model and a data analysis formula according to the user requirements, and calculating and analyzing the preprocessing result when the processing module executes the bottom logic code to generate an analysis result.
5. The custom data processing system of claim 1, further comprising:
The data display module is used for configuring an analysis result display style according to the user requirements;
the data display module comprises:
the report configuration sub-module is used for configuring a table style and table contents and displaying the analysis result in a table form;
the chart configuration sub-module is used for configuring chart styles and chart contents and displaying the analysis results in a chart form;
the data display module is further used for displaying the analysis result according to the configured analysis result display style when the processing module executes the universal bottom logic code.
6. The custom data processing system of claim 1, further comprising:
and the system load optimization module is used for recording the period of the processing module for collecting the data information and carrying out system optimization by combining the data processing pressure of the custom data processing system.
7. A custom data processing system according to any of claims 1 to 6, and further comprising:
the code editing module is used for displaying and editing the universal bottom layer logic code, and correspondingly adjusting the configuration contents of the analysis object configuration module, the data acquisition configuration module and the analysis configuration module when the user edits the editable segment code.
8. A custom data processing method, applied to the custom data processing system according to any one of claims 1 to 7, comprising the steps of:
configuring the analysis object based on the user requirement in a window presented by the analysis object configuration module;
configuring the acquisition elements according to the user requirements and the analysis objects in a window presented by the data acquisition configuration module;
and configuring the analysis elements of the analysis object according to the analysis object, the acquisition elements and the user requirements in a window presented by the analysis configuration module.
9. The method for processing customized data according to claim 8, wherein said configuring the analysis object based on the user requirement specifically comprises:
configuring basic information of the analysis object, wherein the basic information comprises: the data name, the data type, the acquisition drive and the acquisition frequency, and inputting the basic information and/or selecting from preset basic information when configuring;
selecting a second analysis object from the analysis objects according to the user demand;
The configuration of the acquisition element according to the user requirement and the analysis object specifically includes:
setting data acquisition conditions according to the basic information;
setting data storage conditions according to the data storage requirements of users;
the configuring the analysis element of the analysis object specifically includes:
according to the analysis object, configuring a data processing period and a data processing method, and configuring a field relation to process non-homogeneous data in the data information;
and configuring a data calculation model and a data analysis formula according to the user requirements.
10. The method for custom data processing according to claim 9, further comprising: in a window presented by the data presentation module, configuring an analysis result presentation style according to the user demand;
when the user demand is that the analysis result is displayed in a report form, configuring a form style and form contents;
and when the user demand is that the analysis result is displayed in a chart form, configuring chart styles and chart contents.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311465973.8A CN117215542B (en) | 2023-11-07 | 2023-11-07 | Custom data processing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311465973.8A CN117215542B (en) | 2023-11-07 | 2023-11-07 | Custom data processing system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117215542A true CN117215542A (en) | 2023-12-12 |
| CN117215542B CN117215542B (en) | 2024-05-14 |
Family
ID=89041089
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311465973.8A Active CN117215542B (en) | 2023-11-07 | 2023-11-07 | Custom data processing system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117215542B (en) |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1684430A (en) * | 2004-04-16 | 2005-10-19 | 华为技术有限公司 | Configurating data collecting system and its method in network management |
| US7983879B1 (en) * | 2001-07-20 | 2011-07-19 | The Mathworks, Inc. | Code generation for data acquisition and/or logging in a modeling environment |
| US20150355996A1 (en) * | 2014-06-04 | 2015-12-10 | Nvidia Corporation | System, method, and computer program product for collecting execution statistics for graphics processing unit workloads |
| WO2017101606A1 (en) * | 2015-12-15 | 2017-06-22 | 北京奇虎科技有限公司 | System and method for collecting and analyzing data |
| CN111309315A (en) * | 2018-12-12 | 2020-06-19 | 中国科学院沈阳自动化研究所 | Automatic configuration method based on industrial Internet of things data and business modeling |
| US20200363775A1 (en) * | 2018-01-09 | 2020-11-19 | Cleartrail Technologies Private Limited | Recommending visual and execution templates to enable automation of control and data exploration across systems |
| CN113127195A (en) * | 2021-03-30 | 2021-07-16 | 杭州岱名科技有限公司 | Artificial intelligence analysis vertical solution integrator |
| CN114968188A (en) * | 2021-02-19 | 2022-08-30 | 罗克韦尔自动化技术公司 | Systems, methods, and non-transitory computer-readable media for developing industrial applications |
| CN115079644A (en) * | 2021-03-10 | 2022-09-20 | 罗克韦尔自动化技术公司 | System, method and computer readable medium for developing industrial applications |
| US20230023382A1 (en) * | 2021-07-21 | 2023-01-26 | Sap Se | Dynamic api bot for robotic process automation |
| CN115796549A (en) * | 2022-12-23 | 2023-03-14 | 福建华鼎智造技术有限公司 | Comprehensive energy management and control platform constructed based on low-code platform |
| CN115877797A (en) * | 2021-08-19 | 2023-03-31 | 罗克韦尔自动化技术公司 | Industrial automation project library cross-sharing |
| WO2023070819A1 (en) * | 2021-10-26 | 2023-05-04 | 山东同圆数字科技有限公司 | Intelligent work order system based on graphical strategy programming engine, and working method thereof |
| CN116088823A (en) * | 2023-02-22 | 2023-05-09 | 贵州健易测科技有限公司 | Low-code platform for food safety supervision |
| US20230168888A1 (en) * | 2020-07-17 | 2023-06-01 | Huawei Cloud Computing Technologies Co., Ltd. | Code analysis method and system, and computing device |
| CN116263659A (en) * | 2021-12-15 | 2023-06-16 | 腾讯科技（深圳）有限公司 | Data processing method, apparatus, computer program product, device and storage medium |
| CN116431611A (en) * | 2023-04-24 | 2023-07-14 | 青海绿能数据有限公司 | Automatic data processing module development method based on custom rules |
-
2023
- 2023-11-07 CN CN202311465973.8A patent/CN117215542B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7983879B1 (en) * | 2001-07-20 | 2011-07-19 | The Mathworks, Inc. | Code generation for data acquisition and/or logging in a modeling environment |
| CN1684430A (en) * | 2004-04-16 | 2005-10-19 | 华为技术有限公司 | Configurating data collecting system and its method in network management |
| US20150355996A1 (en) * | 2014-06-04 | 2015-12-10 | Nvidia Corporation | System, method, and computer program product for collecting execution statistics for graphics processing unit workloads |
| WO2017101606A1 (en) * | 2015-12-15 | 2017-06-22 | 北京奇虎科技有限公司 | System and method for collecting and analyzing data |
| US20200363775A1 (en) * | 2018-01-09 | 2020-11-19 | Cleartrail Technologies Private Limited | Recommending visual and execution templates to enable automation of control and data exploration across systems |
| CN111309315A (en) * | 2018-12-12 | 2020-06-19 | 中国科学院沈阳自动化研究所 | Automatic configuration method based on industrial Internet of things data and business modeling |
| US20230168888A1 (en) * | 2020-07-17 | 2023-06-01 | Huawei Cloud Computing Technologies Co., Ltd. | Code analysis method and system, and computing device |
| CN114968188A (en) * | 2021-02-19 | 2022-08-30 | 罗克韦尔自动化技术公司 | Systems, methods, and non-transitory computer-readable media for developing industrial applications |
| CN115079644A (en) * | 2021-03-10 | 2022-09-20 | 罗克韦尔自动化技术公司 | System, method and computer readable medium for developing industrial applications |
| CN113127195A (en) * | 2021-03-30 | 2021-07-16 | 杭州岱名科技有限公司 | Artificial intelligence analysis vertical solution integrator |
| US20230023382A1 (en) * | 2021-07-21 | 2023-01-26 | Sap Se | Dynamic api bot for robotic process automation |
| CN115877797A (en) * | 2021-08-19 | 2023-03-31 | 罗克韦尔自动化技术公司 | Industrial automation project library cross-sharing |
| WO2023070819A1 (en) * | 2021-10-26 | 2023-05-04 | 山东同圆数字科技有限公司 | Intelligent work order system based on graphical strategy programming engine, and working method thereof |
| CN116263659A (en) * | 2021-12-15 | 2023-06-16 | 腾讯科技（深圳）有限公司 | Data processing method, apparatus, computer program product, device and storage medium |
| CN115796549A (en) * | 2022-12-23 | 2023-03-14 | 福建华鼎智造技术有限公司 | Comprehensive energy management and control platform constructed based on low-code platform |
| CN116088823A (en) * | 2023-02-22 | 2023-05-09 | 贵州健易测科技有限公司 | Low-code platform for food safety supervision |
| CN116431611A (en) * | 2023-04-24 | 2023-07-14 | 青海绿能数据有限公司 | Automatic data processing module development method based on custom rules |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117215542B (en) | 2024-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cowling | A flexible decision support system for steel hot rolling mill scheduling | |
| US7210119B2 (en) | Handling unscheduled tasks in a scheduling process | |
| CN108229828A (en) | A kind of analysis system based on industrial data | |
| CN113760625B (en) | Evaluation method and monitoring system for model predictive controller performance | |
| CN110349008B (en) | Decision support method and device based on natural language and electronic equipment | |
| CN110909935A (en) | Grid rack diagnosis analysis and intelligent auxiliary system based on power grid planning data | |
| CN117114449A (en) | Visual analysis system and method for big electric power data | |
| CN112734284A (en) | Process industry energy consumption optimization decision system and operation method thereof for improving accuracy of evaluation result under abnormal working condition | |
| TW201437914A (en) | User interface with visualization of real and virtual data | |
| CN104049590B (en) | Expansible energy management architecture | |
| CN115085378A (en) | Virtual substation troubleshooting and positioning method based on digital twin technology | |
| JP2004021712A (en) | Facility diagnostic support system | |
| CN117215542B (en) | Custom data processing system and method | |
| CN113919813A (en) | Production line dynamic value flow analysis method and system based on production line dynamic value flow graph | |
| Lin et al. | A generic methodology that aids the application of system dynamics to manufacturing system modelling | |
| CN112859792B (en) | Intelligent factory management and control system | |
| CN115511656A (en) | Demand planning auxiliary decision system based on mining power grid data value | |
| CN111047290A (en) | Historical data-based inspection task execution and route optimization method | |
| CN115713352A (en) | Power plant operation calculation analysis method based on graphical modeling technology | |
| EP3447694A1 (en) | System and method for temporal planning and monitoring of machine states | |
| Galic | Strategic cost management models | |
| CN115545401A (en) | City physical examination evaluation method and system based on visual index model configuration and computer equipment | |
| CN109494882B (en) | Method and system for diagnosing state of substation switch equipment | |
| CN105631606A (en) | Energy data management system and energy data management method based on energy metering network diagram | |
| CN112270619A (en) | Intelligent lean overhaul management system for power transformation equipment based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |