CN113704581A

CN113704581A - Commissioning effect, data display method, device, equipment and storage medium

Info

Publication number: CN113704581A
Application number: CN202010431547.2A
Authority: CN
Inventors: 占怀旻; 戢洋; 叶鲁彬; 毛嘉昀; 余维前; 廖环宇; 孔令西
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-05-20
Filing date: 2020-05-20
Publication date: 2021-11-26
Anticipated expiration: 2040-05-20
Also published as: CN113704581B

Abstract

The embodiment of the application provides a commissioning effect, a data display method, a commissioning effect, a data display device, equipment and a storage medium. In the data display method, the commissioning effect of at least one commissioning operation of the operation parameters can be displayed in a visual mode according to the viewing requirements of a user. When the user further views the target commissioning operation in the at least one commissioning operation, the commissioning effect of other operation parameters related to the operation parameters in the time period corresponding to the target commissioning operation can be displayed in a visual mode. Furthermore, the commissioning effect of the equipment can be visually and flexibly displayed, and the mutual influence among different operation parameters in the commissioning process can be conveniently and comprehensively analyzed.

Description

Commissioning effect, data display method, device, equipment and storage medium

Technical Field

The application relates to the technical field of intelligent control, in particular to a commissioning effect, data display method, device, equipment and storage medium.

Background

At present, the production process of flow manufacturing enterprises (such as cement and chemical industry) realizes automatic commissioning. In the automatic operation Process, an intelligent algorithm can be used for predicting parameter values required by operation parameters of the production equipment, an instruction corresponding to the parameter values is sent to an Advanced Process Control (APC), and then the APC controls the production equipment through a Distributed Control System (DCS).

When the automatic operation is carried out, the management personnel can carry out manual intervention according to the production requirement or the operation state of the production equipment. In order to analyze the prediction effect of the intelligent algorithm, statistics needs to be carried out on the manual intervention condition in the automatic commissioning process. In the prior art, the statistical result cannot be visually displayed. Therefore, a solution is yet to be proposed.

Disclosure of Invention

Aspects of the present application provide a commissioning effect, a data display method, an apparatus, a device, and a storage medium, to visually and flexibly display a commissioning effect.

The embodiment of the application provides a method for displaying commissioning effect of industrial equipment, which comprises the following steps: displaying respective viewing controls of a plurality of operating parameters of the industrial equipment; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; the industrial equipment belongs to the field of process manufacturing; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

The embodiment of the application provides a data display method, which comprises the following steps: displaying a view control of each of a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

An embodiment of the present application further provides a data display device, including: a display module for: displaying a view control of each of a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

An embodiment of the present application further provides a data display device, including: a memory, a processor, and a display component; the memory is to store one or more computer instructions; the processor is to execute the one or more computer instructions to: the method for displaying the commissioning effect or the data of the industrial equipment provided by the embodiment of the application is executed.

The embodiment of the present application further provides a computer-readable storage medium storing a computer program, and the computer program, when executed by a processor, can implement the commissioning effect display method or the data display method for the industrial device provided in the embodiment of the present application.

According to the data display method provided by the embodiment of the application, the commissioning effect of at least one commissioning operation of the operation parameters can be displayed in a visual mode according to the checking requirement of a user. When the user further views the target commissioning operation in the at least one commissioning operation, the commissioning effect of other operation parameters related to the operation parameters in the time period corresponding to the target commissioning operation can be displayed in a visual mode. Furthermore, the commissioning effect of the equipment can be visually and flexibly displayed, and the mutual influence among different operation parameters in the commissioning process can be conveniently and comprehensively analyzed.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1a is a flow chart of a data presentation method provided by an exemplary embodiment of the present application;

FIGS. 1b-1f are schematic diagrams of interfaces provided by exemplary embodiments of the present application;

FIG. 2a is a flow chart of a data presentation method provided in another exemplary embodiment of the present application;

FIG. 2b is a schematic diagram of generating consolidated data as provided by an exemplary embodiment of the present application;

fig. 3 is a schematic flowchart of a commissioning effect displaying method for an industrial device according to an exemplary embodiment of the present application;

fig. 4 is a schematic diagram of a variation of an actual value of a first operating parameter according to an embodiment of an application scenario of the present application;

FIG. 5 is a schematic flow chart of a data presentation apparatus according to an exemplary embodiment of the present application;

fig. 6 is a schematic structural diagram of a data presentation device according to an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Aiming at the technical problem that the prior art cannot visually display the commissioning effect, the embodiment of the application provides a solution, and the following description is provided with reference to the accompanying drawings.

Fig. 1a is a schematic flowchart of a data presentation method according to an exemplary embodiment of the present application, and as shown in fig. 1a, the method includes:

step 101, displaying respective viewing controls of a plurality of operating parameters of equipment on a first interface; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated.

And 102, responding to the selection operation of the viewing control of the first operation parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first operation parameter on a second interface.

And 103, responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

The first interface and the second interface refer to user interfaces for data display of users provided by the client. The first interface and the second interface may be the same interface or different interfaces, and this embodiment is not limited.

Under different scenes, the client side has different implementation forms. For example, in some scenarios, the client may be implemented as a mobile device, such as a cell phone, tablet, laptop, and so forth. In other scenarios, the client may be implemented as a display screen for large screen presentations, such as an LED display screen or the like.

The equipment refers to a general term of labor data and material data which can be used by individuals or enterprises for a long time in production and basically keep the original physical form and function in repeated use. The implementation form of the device is different in different production scenarios, and the following exemplary description is provided. For example, in the cement manufacturing industry, a typical plant may include: cement rotary kiln, cyclone preheater, cooler, etc. For example, in the steel production industry, a typical plant may include: blast furnace, hot-blast furnace, converter, electric furnace, refining furnace, conticaster, etc. For example, in the chip manufacturing industry, a typical device may include: photoetching machine, scribing machine, die bonder, wire bonder and other equipment; for example, in the food processing industry, a typical apparatus may include: quick-freezing equipment, sorting equipment, cleaning equipment, sterilizing equipment, a food canning machine, an automatic capping machine, a labeling machine, a box filling machine, an empty package detection machine and the like. As another example, in the chemical industry, a typical production facility may include: fans, compressors, pumps, separation equipment, electrolyzers, reactors, filters, crushers, centrifugal separators, rotary kilns, blenders, dryers and the like.

The technical scheme provided by the embodiment is used for displaying the commissioning effect of the equipment. The commissioning refers to a process of configuring a set value for an operation parameter of the equipment, enabling the equipment to have an operation condition, and then commissioning a working system to operate.

The operation parameters of the equipment comprise any one or more operation parameters on which the operation process of the equipment depends. Such as temperature parameters, humidity parameters, pressure parameters, rotational speed parameters, power parameters, and the like.

In the process of automatic commissioning, one or more commissioning operations may be performed, and different commissioning operations may recommend different parameter values for the same operation parameter, which is not limited in this embodiment. For example, in performing an automatic commissioning of a first operating parameter, one or more commissioning operations may be performed, each commissioning operation may recommend the same parameter value or a different parameter value to the first operating parameter of the device, depending on the particular application scenario. For example, the automatic commissioning includes 3 commissioning operations corresponding to the temperature parameter, the first commissioning operation recommends a first temperature value for the temperature parameter, the second commissioning operation recommends a second temperature value for the temperature parameter, and the third commissioning operation recommends a third pressure value for the temperature parameter.

The viewing control corresponding to the operation parameter is used to provide an operation entry for viewing the commissioning effect of the operation parameter, and the viewing control may be implemented as a text control, a picture control, and the like, which is not limited in this embodiment. When the respective viewing controls of the multiple operation parameters are displayed on the first interface, the multiple operation parameters may be displayed in a list manner, or displayed in a tiled manner, or displayed in a grid manner, which is limited in this embodiment.

When the plurality of operation parameters are displayed on the first interface, a user can select the operation parameter to be checked from the plurality of operation parameters according to the checking requirement, and the checking control of the operation parameter is triggered. For convenience of description, in the present embodiment, any one of the operation parameters selected by the user is described as a first operation parameter, and an operation parameter having a correlation with the first operation parameter is described as a second operation parameter. The terms "first" and "second" are used herein for convenience of description and distinction only and do not limit the order or degree of the operational parameters. The second operating parameter may include one operating parameter or a plurality of operating parameters, and the embodiment is not limited.

The correlation relationship between the first operating parameter and the second operating parameter may be represented as: the present embodiment includes, but is not limited to, that the first parameter and the second parameter belong to a device, that the first parameter and the second parameter have an interaction relationship, that the first parameter and the second parameter have an interdependent relationship, that the first parameter and the second parameter have a linear relationship, and the like, that the first parameter and the second parameter belong to a device to realize a specified function, and the like.

And responding to the selection operation of the viewing control of the first operation parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first operation parameter on the second interface. And responding to the selection operation of the target commissioning operation in the at least one commissioning operation, and visually displaying the commissioning effect of the second operation parameter in the time period corresponding to the target commissioning operation. That is to say, after the user selects the target commissioning operation, the commissioning effect of other operation parameters when the target commissioning operation occurs can be simultaneously displayed, so that the mutual influence among the operation parameters can be comprehensively analyzed.

Visualization (Visualization) is a process of converting data into graphics or images by using computer graphics and image processing techniques, and displaying the graphics or images on a screen. For example, the analytical effect may be presented by a data chart, which may include: bar charts (histograms), line charts, pie charts, bar charts, radar charts, funnel charts, data maps, waterfall charts, and the like. In different embodiments, the visualization manner may be selected according to requirements, and this embodiment is not limited.

In some alternative embodiments, one way of visually demonstrating the commissioning effect of at least one commissioning operation of the first operating parameter on the second interface may include: displaying a trend curve of the actual value of the first operating parameter under the at least one commissioning operation; and highlighting the commissioning operation which is manually intervened in the at least one commissioning operation on the trend curve.

Wherein, the trend curve comprises a plurality of points, and each point corresponds to one commissioning operation. Optionally, an alternative embodiment of highlighting commissioning operations that are manually intervened may include: highlighting and displaying the point corresponding to the manually intervened commissioning operation, or magnifying and displaying the point corresponding to the manually intervened commissioning operation, or adding an indication mark at the point corresponding to the manually intervened commissioning operation. Of course, the present embodiment includes but is not limited to this. A typical presentation may be as shown in figure 1 b.

In FIG. 1b, the top half is the head coal commissioning-intervention curve, which reflects the recommended values for the head coal for multiple commissioning operations. If the operation of a certain time of operation is not manually intervened, the corresponding point of the operation of operation is not highlighted; if manual intervention occurs in a certain commissioning, the commissioning operation can be highlighted;

in fig. 1b, the lower half screens the point location trend graph according to time. If the user selects the manual intervention point in the upper half part, the lower half part can display the actual value trends of other operation parameters in the time period of the manual intervention point, and then look up the trend expressions of other operation parameters in a time range before and after the intervention occurs, so as to comprehensively evaluate the reason of the manual intervention.

The manual intervention means that after the commissioning operation is executed, the operation effect of the equipment is not ideal, or the operation effect of the equipment does not meet the production requirement of a user, and at the moment, the parameter value of the operation parameter of the equipment is corrected manually.

In some optional embodiments, in response to a selection operation of the target commissioning operation, a floating window may be presented on the second interface, and commissioning detail data of the target commissioning operation may be presented in the floating window.

Wherein optionally, the commissioning detail data of the target commissioning operation comprises: at least one of a commissioning time of the target commissioning operation, a recommended value of the first operating parameter, an actual value of the first operating parameter, and a reason for the manual intervention. As shown in fig. 1b, the recommended value, the actual value, and the commissioning time of the commissioning operation are presented in a floating window.

In some optional embodiments, if the target commissioning operation is manually intervened, an intervention reason input icon corresponding to the target commissioning operation may be displayed; responding to the triggering operation of the intervention reason input icon, and displaying an input interface; and acquiring the manual intervention reason of the target operation according to the input operation of the user on the input interface.

Optionally, an intervention reason input icon corresponding to the target commissioning operation may be displayed on a third interface as shown in fig. 1 c. As shown in fig. 1b, the second interface includes a "switch show" icon, and the user can trigger the "switch show" icon to enter the third interface. On the third interface, an intervention reason input icon corresponding to one or more manually intervened commissioning operations, such as the "modified reason" icon shown in fig. 1c, is displayed. Based on the intervention reason input icon, the user may enter the intervention reason, as shown in fig. 1d, and associate the intervention reason with the commissioning operation for subsequent visual review and analysis.

In the above and following embodiments of the present application, optionally, a function of configuring a variable identifier associated with an operating parameter may be provided to a user. And the variable identification associated with the operation parameter is used for acquiring commissioning detail data corresponding to the operation parameter. The commissioning detail data may be used to analyze commissioning effects of the operational parameters.

Optionally, in response to the operation of adding the new commissioning analysis task, at least one commissioning algorithm may be presented, as shown in fig. 1 e; responding to the selection operation of a first commissioning algorithm in the at least one commissioning algorithm, and displaying a plurality of operation parameters corresponding to the first commissioning algorithm; for any one of the plurality of operating parameters, the variable identifier of the operating parameter may be obtained according to the configuration operation on the operating parameter.

The commissioning algorithm is used for realizing automatic commissioning of the equipment and automatically calculating a proper parameter value for the operation parameter of the equipment so as to automatically control the equipment to operate in a set mode.

Wherein, the variable identifier may include: at least one of a variable identification of the commissioning switch value, a variable identification of the recommended value, a variable identification of the commissioning value, and a variable identification of the statistical threshold. Accordingly, the obtained commissioning detail data may include: at least one of an commissioning switch value, a recommended value, a commissioning value, and a statistical threshold value of the operational parameter.

When the operation detail data of the operation parameters are acquired based on the data acquisition equipment or the sensors, the configuration process can be called a measurement point configuration process. FIG. 1f illustrates an alternative embodiment of a site configuration interface. As shown in fig. 1f, the configured measurement points (operating parameters) for the rotary cement kiln 2.0 commissioning algorithm may include: the method comprises the following steps of setting the temperature apc of the decomposing furnace, setting the pressure apc of a grate at one section of the grate cooler, setting the rotating speed of a high-temperature fan, setting the coal feeding quantity of a kiln head, setting the raw material feeding quantity and the like. When each measuring point is configured, the variable identification of the commissioning switch value of the measuring point (i.e. the switch key in fig. 1 f), the variable identification of the recommended value (i.e. the output key in fig. 1 f), the variable identification of the commissioning value (i.e. the key in fig. 1 f) and the statistical threshold (i.e. the threshold in fig. 1 f) can be configured respectively. Based on the implementation mode, the automatic configuration of the measuring points can be realized, the commissioning data of commissioning operation can be conveniently and automatically acquired, and the commissioning effect analysis can be efficiently realized.

It should be noted that the task of acquiring commissioning detail data corresponding to the operation parameters according to the variable identifier associated with the operation parameters and analyzing the commissioning effect of the operation parameters may be started manually by a user or may be started under the trigger of a set event. The set event may be a timing event, or an event related to the device (for example, a device turn-on event), and this embodiment is not limited.

Optionally, in some embodiments, the user may be provided with a self-service selection control for providing the user with an operational portal to open an automated commissioning analysis task. When the user has a need for automatically analyzing the commissioning effect, the self-service selection control can be triggered. And responding to the triggering operation of the self-service selection control by the user, acquiring commissioning detail data corresponding to the operation parameters according to the variable identification associated with the operation parameters configured by the user, and analyzing commissioning effects of the operation parameters. Under the condition that the user does not trigger the self-service selection control, the operation of commissioning data acquisition and commissioning effect analysis can be not actively carried out, so that the use cost of the user is saved.

In the above and following embodiments of the present application, in order to improve the flexibility and accuracy of analyzing the commissioning effect, commissioning detail data corresponding to each commissioning operation may be automatically obtained. This will be exemplified in connection with fig. 2 a.

Fig. 2a is a schematic flowchart of a data presentation system method according to an exemplary embodiment of the present application, and as shown in fig. 2a, the method includes:

step 201, obtaining a commissioning value for automatically commissioning equipment; the commissioning values include recommended values for each of at least one commissioning operation of the first operational parameter.

Step 202, detecting operation data of the equipment in the automatic commissioning, and acquiring an actual value of the first operation parameter in the at least one commissioning operation from the operation data.

Step 203, analyzing the commissioning effect of the at least one commissioning operation of the first operation parameter according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation.

Step 204, displaying respective viewing controls of a plurality of operating parameters of the equipment on a first interface; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated.

Step 205, responding to the selection operation of the viewing control of the first operation parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first operation parameter on a second interface.

And step 206, responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

The automatic commissioning refers to adopting a specific algorithm, automatically calculating a proper value for an operation parameter of the equipment, and directly or indirectly issuing a control instruction to the commissioned equipment according to the value calculated by the algorithm so as to automatically control the equipment to operate in a set mode.

For example, in a typical automatic commissioning scenario, data related to the equipment, such as operational data, environmental data, production demand data, etc., may be acquired in real time; next, based on the set automatic commissioning algorithm and the above-described related data, a parameter value required for the operating parameter of the equipment at a future time is predicted. And then, the calculated parameter value is transmitted to an APC system, and the APC system controls the equipment to operate according to the calculated parameter value.

In the process of executing automatic commissioning, the value of the operation parameter issued to the device may be referred to as a commissioning value. Generally, after the automatic commissioning of the equipment, the equipment may be operated according to the recommended values of the operating parameters. In some scenes, after automatic operation, the operation effect of the equipment is not ideal, or the operation effect of the equipment does not meet the production requirement of the user, and the user can perform manual intervention. The manual intervention refers to manually correcting the parameter value of the operating parameter of the equipment. In this case, the apparatus may be operated according to the manually corrected parameter values.

In order to analyze the commissioning effect of the automatic commissioning, the actual values of the operating parameters of the equipment under each commissioning operation can be acquired in the process of carrying out the automatic commissioning. Wherein the actual value is obtained by sampling the actual operation state of the equipment. For each commissioning operation, the commissioning effect corresponding to the commissioning operation can be analyzed according to the recommended value and the actual value corresponding to the commissioning operation. Based on the commissioning effect corresponding to each commissioning operation of the operation parameters, the overall commissioning effect of the operation parameters can be analyzed.

When the commissioning effect is analyzed, the manual intervention condition, the reason of the manual intervention, the operation parameters of the manual intervention and the like in the automatic commissioning can be analyzed. The commissioning effect obtained by the analysis can be used for quantifying the effect of the automatic commissioning algorithm so as to be further used for optimizing the automatic commissioning algorithm.

In this embodiment, when the device is automatically put into operation, the operation data of the device in the automatic operation is detected, and the actual value of the operation parameter after the operation is obtained; based on the recommended value and the actual value of the operation parameter corresponding to the commissioning operation, the commissioning effect of the operation parameter can be automatically analyzed, the intelligent analysis of the commissioning effect is realized, the flexibility is higher, and the reliability of the analysis result is greatly improved.

Meanwhile, the commissioning effect of at least one commissioning operation of the operation parameters is displayed in a visual mode according to the viewing requirements of the user. When the user further views the target commissioning operation in the at least one commissioning operation, the commissioning effect of other operation parameters related to the operation parameters in the time period corresponding to the target commissioning operation can be displayed in a visual mode. Furthermore, the commissioning effect of the equipment can be visually and flexibly displayed, and the mutual influence among different operation parameters in the commissioning process can be conveniently and comprehensively analyzed.

Optionally, the execution subject of the above and following embodiments of the present application may be implemented as a cloud computing platform. In some scenarios, a user may access the cloud computing platform through a browser, and the cloud computing platform may display the commissioning effect of the automatic commissioning through a webpage provided by the browser. In other scenarios, the cloud computing platform may issue the commissioning effect to a terminal device of the user, such as a mobile phone, a tablet computer, a computer device, and the like of the user side. The terminal device may show the commissioning effect through a page provided by an application or a plug-in running thereon, which is not limited in this embodiment.

In some optional embodiments, an optional implementation of the operation data of the detection device in the automatic commissioning may be implemented as: and in the automatic commissioning process, the operation data of the equipment is automatically sampled. The sampling operation may be implemented based on various sampling devices, such as a sensor, and the embodiment is not limited.

Optionally, in the automatic commissioning process, according to a set sampling frequency, sampling a parameter value of a first operating parameter of the device; wherein the sampling frequency is greater than the commissioning frequency of the at least one commissioning operation. Furthermore, it is possible to ensure that the actual operating data of the device after each commissioning operation is sampled.

Or, alternatively, the parameter value of the first operating parameter may be sampled within a set time range after each commissioning operation of the first operating parameter is performed. For example, the parameter value of the first operating parameter may be sampled 3 seconds or 5 seconds after each commissioning. The set time range may be determined according to a time interval between two adjacent commissioning operations, which is not limited in this embodiment.

Based on the embodiment, even under the condition of high automatic commissioning frequency, the actual operation data of the equipment can be acquired in time, the automatic analysis of commissioning effect is realized, and the analysis difficulty caused by high-frequency commissioning is overcome.

After the parameter value of the first operating parameter is sampled, a plurality of sampling points can be obtained. In some optional embodiments, optionally, the plurality of sampling points obtained by sampling and the record node corresponding to at least one commissioning operation of the first operating parameter may be combined according to a time correspondence, so as to obtain combined data.

And the recording node corresponding to each commissioning operation is used for recording commissioning time, identification of the commissioned equipment, identification of the commissioned operation parameter, recommended value of the operation parameter and the like corresponding to the commissioning operation. For example, a record node corresponding to a certain commissioning operation may be: the head coal value of the first boiler is set to N at time T.

Wherein, the merging may include: and mixing the sampling points and the recording nodes, and rearranging the mixed points according to the time sequence. That is, the merged data includes recording nodes and sampling points arranged in order of time.

Next, for any one of the at least one commissioning operation, a set ordered sampling point after the recording node corresponding to the commissioning operation is determined from the merged data as a target sampling point. And then, determining an actual value corresponding to the commissioning operation according to the operation data corresponding to the target sampling point.

Optionally, the set ordering may be the first, the second, or the third, and may be determined according to the sampling interval and the control response time of the device, which is not limited in this embodiment. Wherein, the control response time of the equipment refers to the time interval of operating the equipment according to the recommended value after the equipment is put into operation. For example, when the control reaction time of the device is short, the device may quickly receive the recommended value and operate according to the recommended value after performing the commissioning operation. At this time, if the sampling time is longer than the control response time of the device, the operation data corresponding to the first sampling point after the recording node may be used as the actual value corresponding to the commissioning operation.

A typical merge operation may be illustrated in fig. 2b, where in fig. 2b the circles represent the recorded nodes of the commissioning operation of the first operational parameter and the dots represent the sample points of the actual values of the first operational parameter. And combining the plurality of recording boundary nodes and the sampling points according to the commissioning time corresponding to the commissioning operation and the sampling time corresponding to the sampling points, so as to obtain the relation of the recording nodes and the sampling points in the time sequence.

For example, for the recording node a, the first sampling point B after the recording node a may be determined from the merged data; and then, acquiring a parameter value corresponding to the sampling point B as an actual value of commissioning operation corresponding to the recording node A. Alternatively, the second sample point C after the recording node a may be determined from the merged data. And then, acquiring a parameter value corresponding to the sampling point C as an actual value of the commissioning operation corresponding to the recording node A.

Optionally, in some scenarios, the execution main body of the embodiment of the present application is implemented as an electronic device having a data sampling function and a calculation function. In this scenario, the electronic device contains at least two modules, namely: the device comprises a sampling module, a storage module and a calculation module. The sampling module can sample parameter values of operating parameters in the operating process of the equipment and write sampled data into the storage module. The calculation module can acquire sampling data from the storage module and acquire actual values of the operation parameters corresponding to each commissioning operation from the sampling data.

Optionally, in other scenarios, when the execution subject of the embodiment of the present application is a cloud computing platform, the device for sampling the parameter value of the operation parameter of the device may be implemented as a data sampling device (e.g., multiple data sensors) of a third party. And uploading the sampled parameter values to a cloud computing platform by the sampling equipment of the third party, and storing the parameter values in a specified database on the cloud computing platform for subsequent analysis. The specific Database may be implemented in a TSDB (Time Series Database), a streaming data presentation platform (e.g., Datahub), a message queue (e.g., Kafka), but the embodiment is not limited thereto.

Optionally, the cloud computing platform and the sampling device of the third party may establish a communication connection, and a specific communication connection manner may be determined according to an actual application scenario. In some exemplary embodiments, the server and the sampling device may communicate with each other wirelessly using wired communication. The WIreless communication mode includes short-distance communication modes such as bluetooth, ZigBee, infrared, WiFi (WIreless-Fidelity), long-distance WIreless communication modes such as LORA, and WIreless communication mode based on a mobile network. When the mobile network is connected through communication, the network format of the mobile network may be any one of 2G (gsm), 2.5G (gprs), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G + (LTE +), 5G, WiMax, and the like.

In some alternative embodiments, the operation of analyzing the commissioning effect may include, but is not limited to: analyzing whether manual intervention is included in the automatic commissioning, analyzing the number of times of the manual intervention, analyzing the reason of the manual intervention, determining the operating parameters of the manual intervention and the like. The following are exemplary descriptions, respectively.

Optionally, the manually-intervened commissioning operation may be determined from the at least one commissioning operation according to a recommended value corresponding to each of the at least one commissioning operation of the first operating parameter and an actual value of the first operating parameter under the at least one commissioning operation. As can be appreciated from the definition of human intervention, after a commissioning operation is manually dried, the device may not operate according to the recommended value of the commissioning. Based on this, whether there is human intervention can be analyzed by analyzing the difference between the recommended value corresponding to each commissioning operation and the actual value of the equipment.

In some scenarios, for any commissioning operation, if the recommended value and the actual value corresponding to the commissioning operation are different, it may be determined that the commissioning operation was manually intervened.

In other scenes, the precision problem of the sampling equipment is considered, and the difference value between the recommended value and the actual value of any commissioning operation can be calculated; and if the difference is larger than the statistical threshold of the first operation parameter, determining the commissioning operation as a manually-intervened commissioning operation. The statistical threshold of the first operating parameter may be an empirical value, and a user may set different statistical thresholds for different operating parameters. For example, empirically, the statistical threshold corresponding to the temperature parameter may be set to 0.5, and the statistical threshold corresponding to the pressure parameter may be set to 1, which is not limited in this embodiment.

Optionally, in some scenarios, the respective statistical threshold value of each operating parameter may be calculated according to the historical commissioning record. Taking the first operation parameter as an example, the historical recommended value and the historical actual value of the first operation parameter can be obtained from the historical commissioning record when no manual intervention exists; and then, calculating a parameter value floating range of the first operating parameter without manual intervention according to the historical recommended value and the historical actual value, and determining a statistical threshold value of the first operating parameter according to the operating data floating range.

The operation parameters may include temperature parameters, humidity parameters, pressure parameters, rotation speed parameters, power parameters, and the like. In some scenarios, when the sensor is used to detect the operation parameter of the device, the operation parameter may be referred to as a point location of the sensor or a measurement point of the sensor.

For example, assuming that the operating parameter is a temperature parameter, a historical recommended temperature value and an actual operating temperature value may be obtained without human intervention, and a floating range of the temperature value may be calculated according to a difference between the historical recommended temperature value and the actual operating temperature value. The floating range of temperature values is then used as a statistical threshold for the commissioning operation. This will be described below with reference to a specific example.

For example, assuming that commissioning operation is performed on the temperature parameter of the device, the difference between the historically recommended temperature value and the actually operating temperature value is 0.05 ℃ without human intervention, and 0.05 ℃ may be used as the statistical threshold of the temperature parameter. That is, if the difference between the recommended value and the actual value of a certain commissioning operation corresponding to the temperature parameter is greater than 0.05 ℃, the commissioning operation may be considered to be subject to manual intervention.

It should be noted that, in some scenarios, when the statistical threshold is calculated according to the historical commissioning records, the granularity of the historical commissioning records may be further subdivided to obtain the respective historical commissioning records of each type of device, and the statistical threshold corresponding to each type of device is calculated according to the respective historical commissioning records of each type of device. Based on the mode, the reaction capability of different types of equipment to automatic operation is fully considered, and the accuracy of the statistical result is improved.

Based on the above, optionally, when the statistical threshold corresponding to the first operation parameter is obtained, the type of the device to which the first operation parameter belongs (i.e., the type of the commissioned device) may be obtained. Then, a target historical commissioning record matched with the type of the equipment is obtained from the historical commissioning records, and a historical recommended value and a historical actual value of the first operation parameter without human intervention are obtained from the target historical commissioning record. And then, calculating a parameter value floating range of the first operating parameter according to the historical recommended value and the historical actual value, and determining a statistical threshold value of the first operating parameter according to the parameter value floating range.

For example, if there is no manual intervention in the blast furnace, the difference between the historically recommended temperature value of the blast furnace and the actual operating temperature value of the blast furnace is 0.01 ℃, and then 0.01 ℃ may be used as the statistical threshold corresponding to the temperature parameter of the blast furnace. For another example, if the difference between the historically recommended sintering furnace temperature value and the actual operating temperature value of the sintering furnace is 0.03 ℃ without human intervention, 0.03 ℃ may be used as the statistical threshold corresponding to the temperature parameter of the sintering furnace.

Based on the above, when the commissioning operation is the recommended temperature value of the blast furnace, the difference between the recommended temperature value of the commissioning operation and the actual temperature value of the blast furnace can be obtained, and if the absolute value of the difference is greater than 0.01 ℃, the commissioning operation can be considered to be subjected to manual intervention. When the commissioning operation is the recommended temperature value of the sintering furnace, the difference value between the recommended temperature value of the commissioning operation and the actual temperature value of the sintering furnace can be obtained, and if the absolute value of the difference value is greater than 0.03 ℃, the commissioning operation can be considered to be subjected to manual intervention.

It should be noted that, in some scenarios, when the commissioning effect of the operation parameter is analyzed, the commissioning switch value corresponding to the operation parameter may be further obtained. And the commissioning switch value is used for representing whether one side of the equipment is in an automatic commissioning state or not. The commissioning switch value can be acquired by set acquisition equipment. In general, the commissioning switch value of the operating parameter may be 1 or 0. If the commissioning switch value is 1, representing the automatic commissioning function of the started operation parameters at one side of the equipment; and if the commissioning switch is 0, representing the automatic commissioning function of the shutdown operation parameters of one side of the equipment. Wherein the operation of turning on or off the automatic commissioning may be performed by a user on the device side.

Continuing with the first operation parameter as an example, when analyzing any one commissioning operation corresponding to the first operation parameter, the commissioning switch value of the first operation parameter when performing the commissioning operation of this time may be obtained in advance. And then, judging whether the equipment starts the automatic commissioning function of the first operation parameter when the commissioning operation is executed according to the commissioning switch value. If the equipment starts the automatic commissioning function of the first operation parameter, whether the commissioning operation is manually intervened or not can be continuously judged according to the recommended value and the actual value of the commissioning operation. If the automatic commissioning function of the first operation parameter is not started, the commissioning operation has no statistical significance, and subsequent analysis operation can be omitted, so that the calculation amount is saved.

Based on the above embodiments, optionally, after analyzing whether the at least one commissioning operation of the first operating parameter is subject to the manual intervention, the number of manual interventions and the ratio of manual interventions may be calculated according to the number of commissioning operations of the manual interventions. For example, of the 15 commissioning operations of the first operating parameter, the commissioning operation of the manual intervention is 3, and the manual intervention rate is 20%.

Based on the above embodiment, optionally, after determining that a certain commissioning operation is manually dried, the reason for manual intervention corresponding to the commissioning operation may be further analyzed according to a range to which a difference value between a recommended value and an actual value corresponding to the commissioning operation belongs. Alternatively, the range may be a positive range or a negative range. For example, for commissioning operation R, if the difference between the recommended pressure value and the actual pressure value is positive, it may be determined that the corresponding human intervention reason is: the pressure is too high; on the contrary, if the difference between the recommended pressure value and the actual pressure value is a negative value, the corresponding human intervention reason can be determined as follows: the pressure is too low.

It should be understood that when the device is running, the environmental conditions may have an effect on the running process of the device. For example, when the ambient temperature is high, the D1 temperature is recommended for the sintering furnace to meet the sintering requirement without human intervention. If the temperature of the environment is low, the sintering requirement may not be met and manual intervention may occur if the D1 temperature is still recommended for the sintering furnace.

Based on this, in order to optimize the algorithm of automatic commissioning, optionally, for commissioning operation of manual intervention, environmental data of the device at the time of manual intervention may be further collected, so as to optimize the recommendation algorithm of the operation parameter according to the environmental data.

Optionally, the environmental data may include environmental data within a physical space in which the equipment is located, such as temperature, humidity, pressure, wind, etc. within the plant. The environmental data may be acquired by a variety of sensors deployed within the physical space in which the device is located. Optionally, the environmental data may also include operational data of other devices associated with the device. For example, for a certain device, the environment data may include the operation data of the upstream device and the operation data of the downstream device, and the embodiment is not limited thereto. Based on the above, the recommendation algorithm of automatic commissioning can be continuously optimized, so that the automatic commissioning can meet the production requirements better.

Fig. 3 is a schematic flowchart of a commissioning effect displaying method for an industrial device according to an exemplary embodiment of the present application, and as shown in fig. 3, the method includes:

301, displaying a viewing control of each of a plurality of operating parameters of the industrial equipment on a first interface; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; the industrial equipment belongs to the field of process manufacturing.

And 302, responding to the selection operation of the viewing control of the first operation parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first operation parameter on a second interface.

And 303, responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

The flow manufacturing refers to a manufacturing process in which a workpiece is continuously passed through a series of processing apparatuses, and further, a chemical or physical change is generated in a raw material, thereby obtaining a product. In the process of flow manufacturing, the material has strong mobility, and more variables restricting the process flow exist, so that the automatic operation of industrial equipment in the field of flow manufacturing often has higher operation frequency.

The first operation parameter is any operation parameter of the industrial equipment, and the implementation manner of analyzing the commissioning effect of the operation parameter of the industrial equipment will be exemplarily described below by taking the first operation parameter value as an example. Optionally, a commissioning value for automatically commissioning the industrial device may be obtained; wherein the commissioning value comprises a recommended value for each of the at least one commissioning operation of the first operational parameter.

Next, operational data of the industrial equipment in the automatic commissioning is detected, and an actual value of the first operational parameter in the at least one commissioning operation is obtained from the operational data.

The operation of detecting the operation data of the industrial equipment under automatic operation can be realized based on sampling the parameter values of the operation parameters of the industrial equipment under automatic operation. The sampling frequency can be flexibly adjusted according to the commissioning frequency so as to ensure that the actual value corresponding to each commissioning operation is acquired. Typically, the sampling frequency may be set greater than the commissioning frequency.

In a process manufacturing scenario, a higher sampling frequency may be set. Furthermore, even under the condition of high commissioning frequency, the actual value of the operation parameter under each commissioning operation can be accurately acquired; the effect of automatic commissioning can be accurately analyzed based on the recommended value of the operation parameter and the actual value of the operation parameter under commissioning operation, the difficulty of commissioning frequency (particularly high frequency) on commissioning effect analysis is overcome, and the flexibility of commissioning effect analysis operation is improved.

Next, the commissioning effect of the first operation parameter is analyzed according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation, which may specifically refer to the description of the foregoing embodiments, and details are not repeated here.

It should be noted that the execution subjects of the steps of the methods provided in the above embodiments may be the same device, or different devices may be used as the execution subjects of the methods. For example, the execution subjects of step 201 to step 203 may be device a; for another example, the execution subject of

steps

201 and 202 may be device a, and the execution subject of step 203 may be device B; and so on.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations are included in a specific order, but it should be clearly understood that the operations may be executed out of the order presented herein or in parallel, and the sequence numbers of the operations, such as 201, 202, etc., are merely used for distinguishing different operations, and the sequence numbers do not represent any execution order per se. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

It should be noted that the solutions provided in the embodiments of the present application can be extended and applied to a scenario of performing automatic control on production equipment in various process manufacturing industries. In the above scenario, based on the scheme provided by this embodiment, the operation parameters to be analyzed configured by the user are obtained, the commissioning recommendation values and the actual values of the operation parameters are automatically obtained, and the commissioning effect is automatically counted; and then, the statistical result is intuitively and flexibly displayed in a visual mode, so that the method is favorable for carrying out measurement, evaluation and improvement on the AI algorithm adopted by automatic operation.

Wherein, the automatic control scenario includes but is not limited to: the method comprises the following steps of controlling a boiler burning scene by an AI (artificial intelligence), controlling a chemical reaction furnace scene by the AI, optimizing an energy consumption scene of a cement raw mill, an energy consumption scene of a cement rotary kiln, an energy consumption scene of a steel hot rolling heating furnace, an optimizing scene of a garbage incinerator, an optimizing scene of a chemical heating furnace and the like.

The solutions provided in the foregoing embodiments may be implemented based on multiple computer programming languages, such as SQL (Structured Query Language), JAVA (object oriented programming Language), PYTHON, or other optional programming languages, or a combination of the foregoing multiple programming languages, which is not limited in this embodiment.

It should be further noted that the solutions provided in the embodiments of the present application may be used for counting and displaying the automatic commissioning effect of a plurality of different commissioning objects in a process manufacturing scenario. For example, in the cement industry, the method can be used for counting and displaying the automatic commissioning effect of equipment such as a rotary cement kiln, a cyclone preheater, a cooler and the like. For example, in the steel production industry, the method can be used for counting and displaying the automatic operation effect of equipment such as a blast furnace, a hot blast furnace, a converter, an electric furnace, a refining furnace, a continuous casting machine and the like. For example, in the chemical industry, the method can be used for counting and displaying the automatic operation effects of equipment such as fans, compressors, pumps, separation equipment, electrolyzers, reactors, filters, crushers, centrifugal separators, rotary kilns, blenders and dryers.

The statistical method for commissioning effect provided by the embodiment of the present application will be further explained with reference to fig. 4.

Assuming that at the time T1, the cloud computing platform automatically operates once based on the recommendation algorithm, and adjusts the "first coal setting value" of the rotary cement kiln from 10 to 11. At time T1+1, the APC system receives an adjustment command and adjusts the "head coal setpoint" in the APC from 10 to 11. Assume that, at time T2, the recommended value of the recommended algorithm in the cloud computing platform is to adjust the "head coal set point" from 11 to 12. At time T2+1, the APC system receives an adjustment command and adjusts the "head coal setpoint" in the APC from 10 to 11.

And then, acquiring actual operation data of the rotary cement kiln fed back by the DCS, and sampling the head coal value of the rotary cement kiln in the actual operation data. And after the sampling data are obtained, acquiring the head coal value of the rotary cement kiln at the T1+1 moment and the head coal value of the rotary cement kiln at the T2+1 moment from the sampling data. As shown in fig. 4, if the head coal value of the rotary cement kiln is 11 at time T1+1, it is considered that APC has accepted 11, and when the next operation is performed, the APC is still unchanged, and it is recorded that no human intervention is required for the operation. If at time T2+1 the rotary cement kiln had a head coal value of 13, which was not the expected value of 12, then it may be recorded that the commissioning was manually intervened.

When the commissioning effect is displayed, the commissioning operation corresponding to the time T2+1 can be determined in the curve corresponding to the head coal value of the rotary cement kiln, and the commissioning operation is displayed in a highlighted mode so as to prompt a user that the commissioning operation is manually interfered. If the user clicks the commissioning operation corresponding to the time T2+1 on the curve, the commissioning effect of other operation parameters of the rotary cement kiln in the time period of the time T2+1 can be further shown, so that the user can comprehensively analyze the commissioning reason of the top coal value at the time T2+ 1.

In addition to the data display method described in the foregoing embodiments, the embodiments of the present application also provide a data display apparatus.

Fig. 5 is a schematic structural diagram of a data presentation apparatus according to an exemplary embodiment of the present application, and as shown in fig. 5, the apparatus includes:

a display module 501, configured to: displaying a view control of each of a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

Further optionally, when visually displaying the commissioning effect of the at least one commissioning operation of the first operating parameter, the displaying module 501 is specifically configured to: displaying a trend curve of the actual value of the first operating parameter under the at least one commissioning operation; and highlighting the manually intervened commissioning operation in the at least one commissioning operation on the trend curve.

Further optionally, the display module 501 is further configured to: and responding to the selection operation of the target commissioning operation, displaying a floating window on the second interface, and displaying commissioning detail data of the target commissioning operation in the floating window.

Further optionally, the commissioning details data of the target commissioning operation comprises: at least one of a commissioning time of the target commissioning operation, a recommended value of the first operating parameter, an actual value of the first operating parameter, and a reason for manual intervention.

Further optionally, the apparatus further comprises: a data acquisition module 502 for: if the target commissioning operation is manually intervened, displaying an intervention reason input icon corresponding to the target commissioning operation; responding to the triggering operation of the intervention reason input icon, and displaying an input interface; and acquiring the manual intervention reason of the target operation according to the input operation of the user on the input interface.

Further optionally, the apparatus further comprises: the configuration module 503 is specifically configured to: responding to the operation of the newly added commissioning analysis task and displaying at least one commissioning algorithm; responding to the selection operation of a first commissioning algorithm in the at least one commissioning algorithm, and displaying the plurality of operating parameters corresponding to the first commissioning algorithm; aiming at any one of the multiple operation parameters, acquiring a variable identifier of the operation parameter according to configuration operation of the operation parameter; and the variable identification is used for acquiring the commissioning detail data.

Further optionally, the variable identification includes: at least one of a variable identification of the commissioning switch value, a variable identification of the recommended value, a variable identification of the commissioning value, and a variable identification of the statistical threshold.

Further optionally, the data obtaining module 502 is further configured to: before visually displaying the commissioning effect of at least one commissioning operation of the first operating parameter, acquiring a commissioning value adopted for automatically commissioning the equipment; the commissioning values comprise recommended values for each of the at least one commissioning operation of the first operational parameter; and detecting operation data of the equipment under the automatic commissioning, and acquiring an actual value of the first operation parameter under the at least one commissioning operation from the operation data.

Further optionally, the apparatus further comprises an analyzing module 504, configured to: and analyzing the commissioning effect of the at least one commissioning operation of the first operation parameter according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation.

Further optionally, when detecting the operation data of the device in the automatic commissioning, the data obtaining module 502 is specifically configured to: in the automatic commissioning process, sampling the parameter value of the first operation parameter according to a set sampling frequency; the sampling frequency is greater than the commissioning frequency of the at least one commissioning operation; or sampling the parameter value of the first operation parameter within a set time range after the commissioning operation of the first operation parameter is executed each time.

Further optionally, when the data obtaining module 502 obtains the actual value of the first operation parameter in each of the at least one commissioning operation from the operation data, it is specifically configured to: acquiring a plurality of sampling points obtained by sampling parameter values of the first operating parameters; combining the plurality of sampling points and the recording nodes corresponding to the at least one commissioning operation according to the time correspondence to obtain combined data; for any one commissioning operation in the at least one commissioning operation, determining a set ordered sampling point behind a recording node corresponding to the commissioning operation from the merged data, and taking the sampling point as a target sampling point; and determining an actual value corresponding to the commissioning operation according to the parameter value corresponding to the target sampling point.

Further optionally, when analyzing the commissioning effect of the at least one commissioning operation of the first operation parameter according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation, the analysis module 504 is specifically configured to: determining a manually-intervened commissioning operation from the at least one commissioning operation according to the recommended value of each of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation; and analyzing the number of manual interventions in the at least one commissioning operation according to the commissioning operation of the manual interventions.

Further optionally, the analysis module 504, when determining a manually-intervened commissioning operation from the at least one commissioning operation according to the recommended value of each of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation, is specifically configured to: calculating a difference between a recommended value and an actual value of the commissioning operation for any of the at least one commissioning operation; and if the difference is larger than the statistical threshold of the first operation parameter, determining that the commissioning operation is a commissioning operation of manual intervention.

Further optionally, the method further comprises: the threshold maintenance module 505 is specifically configured to: acquiring a historical recommended value and a historical actual value of the first operating parameter without manual intervention from a historical commissioning record; calculating a parameter value floating range of the first operation parameter without manual intervention according to the historical recommended value and the historical actual value; and determining a statistical threshold value of the first operating parameter according to the parameter value floating range.

Further optionally, when the historical recommended value and the historical actual value of the first operation parameter are obtained from the historical commissioning record, the threshold maintenance module 505 is specifically configured to: obtaining a target historical commissioning record matched with the type of the equipment from the historical commissioning records; and acquiring a historical recommended value and a historical actual value of the first operation parameter without manual intervention from the target historical commissioning record.

Further optionally, the analysis module 504 is further configured to: and if the commissioning operation is a commissioning operation of manual intervention, analyzing a manual intervention reason corresponding to the commissioning operation according to a numerical range to which a difference value between a recommended value and an actual value of the commissioning operation belongs.

Further optionally, the analysis module 504 is further configured to: and aiming at the commissioning operation of the manual intervention, collecting environmental data of the equipment at the time of the manual intervention so as to optimize the recommendation algorithm of the first operation parameter according to the environmental data.

In this embodiment, the commissioning effect of at least one commissioning operation of the operation parameters can be displayed in a visual manner according to the viewing requirements of the user. When the user further views the target commissioning operation in the at least one commissioning operation, the commissioning effect of other operation parameters related to the operation parameters in the time period corresponding to the target commissioning operation can be displayed in a visual mode. Furthermore, the commissioning effect of the equipment can be visually and flexibly displayed, and the mutual influence among different operation parameters in the commissioning process can be conveniently and comprehensively analyzed.

In some scenarios, the apparatus shown in fig. 5 may also be used to perform a commissioning effect demonstration method of an industrial device. The display module 501 is configured to: displaying respective viewing controls of a plurality of operating parameters of the industrial equipment; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; the industrial equipment belongs to the field of process manufacturing; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

Fig. 6 is a schematic structural diagram of a data presentation device according to an exemplary embodiment of the present application, and as shown in fig. 6, the data presentation device includes: memory 601, processor 602, and display component 603.

The memory 601 is used to store computer programs and may be configured to store other various data to support operations on the data presentation device. Examples of such data include instructions for any application or method operating on the data presentation device, contact data, phonebook data, messages, pictures, videos, and the like.

The memory 601 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A processor 602, coupled to the memory 601, for executing the computer programs in the memory 601 to: presenting, by a display component 603, respective view controls for a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

Further optionally, when visually displaying the commissioning effect of the at least one commissioning operation of the first operating parameter through the display component 603, the processor 602 is specifically configured to: displaying a trend curve of the actual value of the first operating parameter under the at least one commissioning operation; and highlighting the manually intervened commissioning operation in the at least one commissioning operation on the trend curve.

Further optionally, the processor 602 is further configured to: in response to the selection operation of the target commissioning operation, a floating window is displayed on the second interface through the display component 603, and commissioning detail data of the target commissioning operation is displayed in the floating window.

Further optionally, the processor 602 is further configured to: if the target commissioning operation is manually intervened, displaying an intervention reason input icon corresponding to the target commissioning operation; responding to the triggering operation of the intervention reason input icon, and displaying an input interface; and acquiring the manual intervention reason of the target operation according to the input operation of the user on the input interface.

Further optionally, the processor 602 is further configured to: responding to the operation of the newly added commissioning analysis task and displaying at least one commissioning algorithm; responding to the selection operation of a first commissioning algorithm in the at least one commissioning algorithm, and displaying the plurality of operating parameters corresponding to the first commissioning algorithm; aiming at any one of the multiple operation parameters, acquiring a variable identifier of the operation parameter according to configuration operation of the operation parameter; and the variable identification is used for acquiring the commissioning detail data.

Further optionally, before visually presenting the commissioning effect of the at least one commissioning operation of the first operating parameter, processor 602 is further configured to: acquiring a commissioning value adopted for automatically commissioning the equipment; the commissioning values comprise recommended values for each of the at least one commissioning operation of the first operational parameter; detecting operation data of the equipment under the automatic commissioning, and acquiring an actual value of the first operation parameter under the at least one commissioning operation from the operation data; and analyzing the commissioning effect of the at least one commissioning operation of the first operation parameter according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation.

Further optionally, when detecting the operation data of the device in the automatic commissioning, the processor 602 is specifically configured to: in the automatic commissioning process, sampling the parameter value of the first operation parameter according to a set sampling frequency; the sampling frequency is greater than the commissioning frequency of the at least one commissioning operation; or sampling the parameter value of the first operation parameter within a set time range after the commissioning operation of the first operation parameter is executed each time.

Further optionally, when obtaining the actual value of the first operation parameter under each of the at least one commissioning operation from the operation data, the processor 602 is specifically configured to: acquiring a plurality of sampling points obtained by sampling parameter values of the first operating parameters; combining the plurality of sampling points and the recording nodes corresponding to the at least one commissioning operation according to the time correspondence to obtain combined data; for any one commissioning operation in the at least one commissioning operation, determining a set ordered sampling point behind a recording node corresponding to the commissioning operation from the merged data, and taking the sampling point as a target sampling point; and determining an actual value corresponding to the commissioning operation according to the parameter value corresponding to the target sampling point.

Further optionally, when analyzing the commissioning effect of the at least one commissioning operation of the first operating parameter according to the recommended value of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation, the processor 602 is specifically configured to: determining a manually-intervened commissioning operation from the at least one commissioning operation according to the recommended value of each of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation; and analyzing the number of manual interventions in the at least one commissioning operation according to the commissioning operation of the manual interventions.

Further optionally, the processor 602, when determining a manually-intervened commissioning operation from the at least one commissioning operation according to the recommended value of each of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation, is specifically configured to: calculating a difference between a recommended value and an actual value of the commissioning operation for any of the at least one commissioning operation; and if the difference is larger than the statistical threshold of the first operation parameter, determining that the commissioning operation is a commissioning operation of manual intervention.

Further optionally, the processor 602 is further configured to: acquiring a historical recommended value and a historical actual value of the first operating parameter without manual intervention from a historical commissioning record; calculating a parameter value floating range of the first operation parameter without manual intervention according to the historical recommended value and the historical actual value; and determining a statistical threshold value of the first operating parameter according to the parameter value floating range.

Further optionally, when obtaining the historical recommended value and the historical actual value of the first operating parameter without human intervention from the historical commissioning record, the processor 602 is specifically configured to: obtaining a target historical commissioning record matched with the type of the equipment from the historical commissioning records; and acquiring a historical recommended value and a historical actual value of the first operation parameter without manual intervention from the target historical commissioning record.

Further optionally, the processor 602 is further configured to: and if the commissioning operation is a commissioning operation of manual intervention, analyzing a manual intervention reason corresponding to the commissioning operation according to a numerical range to which a difference value between a recommended value and an actual value of the commissioning operation belongs.

Further optionally, the processor 602 is further configured to: and aiming at the commissioning operation of the manual intervention, collecting environmental data of the equipment at the time of the manual intervention so as to optimize the recommendation algorithm of the first operation parameter according to the environmental data.

Further, as shown in fig. 6, the data presentation apparatus further includes: communication components 604, power components 605, and the like. Only some of the components are shown schematically in fig. 6, and it is not meant that the data presentation apparatus includes only the components shown in fig. 6.

Wherein the communication component 604 is configured to facilitate wired or wireless communication between the device in which the communication component resides and other devices. The device in which the communication component is located may access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, or 5G, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component may be implemented based on Near Field Communication (NFC) technology, Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

The power supply 605 provides power to various components of the device in which the power supply is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.

In some scenarios, the apparatus shown in fig. 6 may be further configured to perform a commissioning effect presentation method for an industrial apparatus, and in particular, the processor 602 is configured to: displaying, by a display component 603, a view control of each of a plurality of operating parameters of the industrial device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; the industrial equipment belongs to the field of process manufacturing; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

Accordingly, the present application further provides a computer-readable storage medium storing a computer program, where the computer program can implement the steps that can be performed by the data presentation device in the foregoing method embodiments when executed.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 presentation device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data presentation device, 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 presentation 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 presentation device 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.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A commissioning effect display method of industrial equipment is characterized by comprising the following steps:

displaying respective viewing controls of a plurality of operating parameters of the industrial equipment; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; the industrial equipment belongs to the field of process manufacturing;

responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter;

responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

2. A data display method is characterized by comprising the following steps;

displaying a view control of each of a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated;

3. The method of claim 2, wherein visually displaying the commissioning effect of the at least one commissioning operation of the first operational parameter comprises:

displaying a trend curve of the actual value of the first operating parameter under the at least one commissioning operation; and the number of the first and second groups,

on the trend curve, manually-intervened commissioning operations of the at least one commissioning operation are highlighted.

4. The method of claim 2, further comprising:

and responding to the selection operation of the target commissioning operation, displaying a floating window, and displaying commissioning detail data of the target commissioning operation in the floating window.

5. The method of claim 4, wherein the commissioning detail data for the target commissioning operation comprises:

at least one of a commissioning time of the target commissioning operation, a recommended value of the first operating parameter, an actual value of the first operating parameter, and a reason for manual intervention.

6. The method of claim 2, further comprising:

if the target commissioning operation is manually intervened, displaying an intervention reason input icon corresponding to the target commissioning operation;

responding to the triggering operation of the intervention reason input icon, and displaying an input interface;

and acquiring the manual intervention reason of the target operation according to the input operation of the user on the input interface.

7. The method of claim 2, further comprising:

responding to the operation of the newly added commissioning analysis task and displaying at least one commissioning algorithm;

responding to the selection operation of a first commissioning algorithm in the at least one commissioning algorithm, and displaying the plurality of operating parameters corresponding to the first commissioning algorithm;

aiming at any one of the multiple operation parameters, acquiring a variable identifier of the operation parameter according to configuration operation of the operation parameter; and the variable identification is used for acquiring the commissioning detail data.

8. The method of claim 7, wherein the variable identification comprises: at least one of a variable identification of the commissioning switch value, a variable identification of the recommended value, a variable identification of the commissioning value, and a variable identification of the statistical threshold.

9. The method of any of claims 2-8, wherein prior to visually demonstrating commissioning effects of at least one commissioning operation of the first operational parameter, further comprising:

acquiring a commissioning value adopted for automatically commissioning the equipment; the commissioning values comprise recommended values for each of the at least one commissioning operation of the first operational parameter;

detecting operation data of the equipment under the automatic commissioning, and acquiring an actual value of the first operation parameter under the at least one commissioning operation from the operation data;

and analyzing the commissioning effect of the at least one commissioning operation of the first operation parameter according to the recommended value of the at least one commissioning operation of the first operation parameter and the actual value of the first operation parameter under the at least one commissioning operation.

10. The method of claim 9, wherein detecting operational data of the device in the automatic commissioning comprises:

in the automatic commissioning process, sampling the parameter value of the first operation parameter according to a set sampling frequency; the sampling frequency is greater than the commissioning frequency of the at least one commissioning operation; alternatively, the first and second electrodes may be,

and sampling the parameter value of the first operation parameter within a set time range after the operation of the first operation parameter is executed each time.

11. The method of claim 10, wherein obtaining from the operational data an actual value of the first operational parameter at each of the at least one commissioning operations comprises:

acquiring a plurality of sampling points obtained by sampling parameter values of the first operating parameters;

combining the plurality of sampling points and the recording nodes corresponding to the at least one commissioning operation according to the time correspondence to obtain combined data;

for any one commissioning operation in the at least one commissioning operation, determining a set ordered sampling point behind a recording node corresponding to the commissioning operation from the merged data, and taking the sampling point as a target sampling point;

and determining an actual value corresponding to the commissioning operation according to the parameter value corresponding to the target sampling point.

12. The method of claim 9, wherein analyzing the commissioning effect of the at least one commissioning operation of the first operating parameter based on the respective recommended value of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter at the at least one commissioning operation comprises:

determining a manually-intervened commissioning operation from the at least one commissioning operation according to the recommended value of each of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter under the at least one commissioning operation;

and analyzing the number of manual interventions in the at least one commissioning operation according to the commissioning operation of the manual interventions.

13. The method of claim 12, wherein determining a manually-intervened commissioning operation from the at least one commissioning operation as a function of the respective recommended value of the at least one commissioning operation of the first operating parameter and the actual value of the first operating parameter at the at least one commissioning operation comprises:

calculating a difference between a recommended value and an actual value of the commissioning operation for any of the at least one commissioning operation;

and if the difference is larger than the statistical threshold of the first operation parameter, determining that the commissioning operation is a commissioning operation of manual intervention.

14. The method of claim 13, further comprising:

acquiring a historical recommended value and a historical actual value of the first operating parameter without manual intervention from a historical commissioning record;

calculating a parameter value floating range of the first operation parameter without manual intervention according to the historical recommended value and the historical actual value;

and determining a statistical threshold value of the first operating parameter according to the parameter value floating range.

15. The method of claim 14, wherein obtaining the historical recommended values and the historical actual values of the first operating parameter without human intervention from a historical commissioning record comprises:

obtaining a target historical commissioning record matched with the type of the equipment from the historical commissioning records;

and acquiring a historical recommended value and a historical actual value of the first operation parameter without manual intervention from the target historical commissioning record.

16. The method of claim 13, further comprising:

and if the commissioning operation is a commissioning operation of manual intervention, analyzing a manual intervention reason corresponding to the commissioning operation according to a numerical range to which a difference value between a recommended value and an actual value of the commissioning operation belongs.

17. The method of any of claim 13, further comprising:

and aiming at the commissioning operation of the manual intervention, collecting environmental data of the equipment at the time of the manual intervention so as to optimize the recommendation algorithm of the first operation parameter according to the environmental data.

18. A data presentation device, comprising:

a display module for: displaying a view control of each of a plurality of operating parameters of the device; the plurality of operating parameters includes a first operating parameter and a second operating parameter that are correlated; responding to the selection operation of the viewing control of the first running parameter, and visually displaying the commissioning effect of at least one commissioning operation of the first running parameter; responding to the selection operation of the target operation in the at least one operation, and visually displaying the operation effect of the second operation parameter in the time period corresponding to the target operation.

19. A data presentation device, comprising: a memory, a processor, and a display component;

the memory is to store one or more computer instructions;

the processor is to execute the one or more computer instructions to: performing the steps of the method of any one of claims 1-17.

20. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the steps of the method of any one of claims 1 to 17.