CN116934027A

CN116934027A - Industrial configuration generation method, generation device and monitoring system

Info

Publication number: CN116934027A
Application number: CN202310886875.5A
Authority: CN
Inventors: 鞠晨; 徐楠; 郭爱军; 罗伟; 文辉; 王文文
Original assignee: Shendong Coal Branch of China Shenhua Energy Co Ltd; Guoneng Shendong Coal Group Co Ltd
Current assignee: Shendong Coal Branch of China Shenhua Energy Co Ltd; Guoneng Shendong Coal Group Co Ltd
Priority date: 2023-07-18
Filing date: 2023-07-18
Publication date: 2023-10-24

Abstract

The application provides a method, a device and a monitoring system for generating industrial configuration, wherein the method comprises the following steps: constructing a plurality of first data analysis models, wherein the first data analysis models are used for analyzing the operation state of the industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment; acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of industrial equipment for completing the production flow; and combining the target first data analysis models according to the starting sequence to obtain target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. When the data analysis requirement is increased, the method can be used for copying and combining according to the existing model to obtain the industrial configuration meeting the new requirement, and the problems that the configuration data binding is complex and difficult to expand in the prior art are solved.

Description

Industrial configuration generation method, generation device and monitoring system

Technical Field

The present application relates to the field of industrial control, and in particular, to a method and apparatus for generating an industrial configuration, a computer readable storage medium, and a monitoring system.

Background

The scheme belongs to the field of industrial control and is mainly applied to real-time monitoring scenes such as coal mines, electric power and the like.

In the monitoring system, a background interface is an important man-machine interaction module, and data display and inquiry of the system, control operation of equipment, presentation of diagnostic analysis results and the like are all completed on the background interface. The realization of the background interface is completed by a configuration design module, interface data and equipment uploading data are corresponding through configuration design, and the interface after the design is displayed on a human-computer interface.

The existing configuration design is based on the design idea of data binding, different graphic primitives are designed according to data types, such as real-time data of voltage, current, power and the like of equipment, and corresponding measurement quantity graphic primitives are provided; for status information such as the location of the device, there are corresponding status quantity primitives and the like. The primitives need to correspond to the data points of the device, thus completing the configuration design.

The implementation mode facing the data is widely applied to the traditional monitoring system, along with the development of technology, the intelligent degree of equipment is higher and higher, the monitoring of the equipment is not only limited to single equipment operation condition monitoring, but also needs to monitor and evaluate the health state of equipment operation, the linkage locking of the equipment operation is verified, the acquired equipment data is also information such as temperature, operation fatigue degree, abrasion degree, vibration and the like of the equipment and information such as video of the equipment besides the traditional measurement and state data, the configuration design based on the data is more and more complex due to the multisource property of the data, the association degree between the data is not high, the association analysis of the data is difficult to realize, and the complexity of the binding and displaying of the configuration data is also higher and higher.

The application provides a model-oriented configuration design, which solves the problems that the configuration design based on data is complex to bind and difficult to expand under the condition that the data requirement is continuously increased

Disclosure of Invention

The application aims to provide a method and a device for generating industrial configuration, a computer readable storage medium and a monitoring system, which are used for at least solving the problems of complex binding of configuration data and difficult expansion in the prior art.

To achieve the above object, according to one aspect of the present application, there is provided a method for generating an industrial configuration, the method comprising: a plurality of first data analysis models are built, the first data analysis models are used for analyzing the operation state of industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are set values of the corresponding first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one; acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and combining the target first data analysis models according to the starting sequence to obtain a target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow.

Optionally, constructing a plurality of first data analysis models includes: a first construction step, namely constructing a plurality of second data analysis models, wherein the second data analysis models are used for analyzing the operation states of equipment elements according to second real-time operation parameter groups and second rated operation parameters of the equipment elements, the second real-time operation parameter groups comprise all second operation parameters at the current moment in the operation process of the equipment elements, the second rated operation parameters are set values of the corresponding second operation parameters, the second real-time operation parameter groups are in one-to-one correspondence with the equipment elements, and the second data analysis models are in one-to-one correspondence with the equipment elements; a first determining step of determining at least one target second data analysis model according to target equipment information, wherein the target second data analysis model is the second data analysis model corresponding to the equipment elements composing the industrial equipment, the target equipment information at least comprises the composition of the equipment elements and the operation sequence of the equipment elements in target industrial equipment, and the target industrial equipment is one of the industrial equipment; combining, namely combining the target second data analysis model according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment; and sequentially repeating the first construction step, the first determination step and the combination step at least once until all the first data analysis models corresponding to the industrial equipment are constructed.

Optionally, constructing a plurality of second data analysis models includes: an acquisition step of acquiring function information of each equipment element, wherein the function information is a function realized by the equipment element; a second determining step, determining a processing rule according to the function information, wherein the processing rule comprises a flow processing rule and a plurality of data processing rules, the data processing rule is used for carrying out data filtering or statistics or change on the second real-time operation parameter set, and the flow processing rule is the processing sequence of the data processing rule; a third determining step of determining an analysis rule according to the function information, the analysis rule being used for analyzing the operation state of the equipment element according to the second real-time operation parameter set processed by the processing rule; a second construction step of constructing the second data analysis model according to the processing rule and the analysis rule; and sequentially repeating the second determining step, the third determining step and the second constructing step at least once until all the second data analysis models corresponding to the equipment elements are constructed.

Optionally, after combining the target second data analysis model according to the target device information to obtain the first data analysis model corresponding to the target industrial device, the method further includes: configuring a first output interface, wherein the first output interface is an output interface of the first data analysis model, and the first output interface is used for sending the running state of a first preset format to a corresponding display end; a plurality of first input interfaces are configured, wherein the first input interfaces are input interfaces of the first data analysis model, the first input interfaces are used for sending the first operating parameters and the first rated operating parameters of the equipment element to corresponding second input interfaces, the second input interfaces are input interfaces of the second data analysis model, and the equipment element corresponds to the second input interfaces one by one.

Optionally, after constructing a plurality of the second data analysis models, the method further comprises: configuring a second output interface, wherein the second output interface is an output interface of the second data analysis model, and the second output interface is used for sending the running state of the first preset format to the first output interface; and configuring a plurality of second input interfaces, wherein the second input interfaces are used for converting a plurality of operation parameters in a second preset format into the operation parameters in the first preset format, and the operation parameters comprise the second operation parameters and the second rated operation parameters.

Optionally, the data processing rule includes a filtering rule, a statistics rule and a calculation rule, and determining the processing rule according to the function information includes: determining the filtering rule according to the functional information, wherein the filtering rule is used for removing noise parameters in the second real-time operation parameter set; determining the statistical rule according to the functional information, wherein the statistical rule is at least used for counting the extreme value of the second real-time operation parameter set; determining the calculation rule according to the function information, wherein the calculation rule is used for calculating a second real-time operation parameter set to obtain characteristic parameters for analysis, and the calculation rule corresponds to elements in the industrial equipment one by one; and determining the flow processing rule according to the filtering rule, the statistical rule and the calculation rule.

Optionally, after obtaining the target industrial configuration, the method further comprises: and controlling the display end to display the running states of the industrial equipment and the equipment elements according to the running states of the first preset format.

According to another aspect of the present application, there is provided an apparatus for generating an industrial configuration, the apparatus comprising: the system comprises a construction unit, a first data analysis module and a control unit, wherein the construction unit is used for constructing a plurality of first data analysis models, the first data analysis models are used for analyzing the operation state of industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are corresponding set values of the first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis model corresponds to the industrial equipment one by one; the production process information comprises a starting sequence of the industrial equipment for completing the production process, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production process; and the combination unit is used for combining the target first data analysis model according to the starting sequence to obtain a target industrial configuration, and the target industrial configuration is used for monitoring the production flow.

According to still another aspect of the present application, there is provided a computer readable storage medium including a stored program, wherein the program when run controls a device in which the computer readable storage medium is located to perform any one of the methods.

According to yet another aspect of the present application, there is provided a monitoring system including: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods.

In the method for generating the industrial configuration, firstly, a plurality of first data analysis models are constructed, the first data analysis models are used for analyzing the operation state of the industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are set values of the corresponding first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one; then, acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and finally, combining the target first data analysis model according to the starting sequence to obtain a target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. According to the application, the sub-models for monitoring the equipment elements are constructed, the sub-models are used for sequencing and combining to obtain the model for monitoring the industrial equipment, and the model is used for sequencing and combining to obtain the whole industrial configuration.

Drawings

Fig. 1 is a block diagram showing a hardware configuration of a mobile terminal for performing a generation method of an industrial configuration according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for generating an industrial configuration according to an embodiment of the application;

FIG. 3 is a flow chart of a method for generating a switch model according to an embodiment of the present application;

fig. 4 shows a block diagram of an industrial configuration generating device according to an embodiment of the present application.

Detailed Description

It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

As described in the background art, the configuration design in the prior art is based on the design idea of data binding, and different primitives, such as real-time data of voltage, current, power and the like of the equipment, are designed according to the data type, and corresponding measurement primitives are provided; for status information such as the location of the device, there are corresponding status quantity primitives and the like. The embodiment of the application provides a method and a device for generating industrial configuration, a computer readable storage medium and a monitoring system, which are used for solving the problems that the binding of configuration data is complex and difficult to expand in the prior art.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application.

The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the operation on a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of a mobile terminal according to an embodiment of the present application. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.

The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a display method of device information in an embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, to implement the above-described method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.

In the present embodiment, a method for generating an industrial configuration running on a mobile terminal, a computer terminal, or a similar computing device is provided, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that herein.

FIG. 2 is a flow chart of a method of generating an industrial configuration according to an embodiment of the application. As shown in fig. 2, the method comprises the steps of:

step S201, a plurality of first data analysis models are built, the first data analysis models are used for analyzing the operation state of the industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are corresponding set values of the first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one;

Specifically, the method comprises the steps of abstracting equipment in an industrial production process, extracting parameter changes in the equipment operation process, constructing a corresponding model, obtaining the first data analysis model, analyzing the working state of the equipment according to the operation parameters monitored by a monitoring system in the equipment operation process, taking a switch as an example, carrying out data processing and analysis through the parameters such as voltage, current, switch model, rated voltage, rated current and the like received by the switch model corresponding to the switch, obtaining the fault tripping times, high current tripping times, switch action time and the like of the switch, and further determining the health state of the switch.

Step S202, obtaining production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow;

in particular, the monitoring system is used to monitor the entire industrial process flow, where multiple devices are involved. And acquiring related information through a monitoring system, and extracting industrial equipment started in the industrial production process and the starting sequence of the industrial equipment.

Step S203, combining the target first data analysis models according to the starting sequence to obtain a target industrial configuration, where the target industrial configuration is used to monitor the production process.

Specifically, according to the starting sequence of the industrial equipment, the interface of the model is adjusted to make the data transmission sequence of the model and the starting sequence of the industrial equipment consistent, so as to obtain the industrial configuration for analyzing the production flow. When new equipment is added in the production flow, the data analysis requirement is increased, and the new industrial configuration meeting the new requirement is obtained by copying and combining according to the existing model.

In this embodiment, first, a plurality of first data analysis models are constructed, where the first data analysis models are configured to analyze an operation state of an industrial device according to a first real-time operation parameter set and a first rated operation parameter of the industrial device, where the first real-time operation parameter set includes all first operation parameters at a current moment in an operation process of the industrial device, the first rated operation parameter is a set value of the corresponding first operation parameter, the operation state includes at least a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial device one by one, and the first data analysis models correspond to the industrial device one by one; then, acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and finally, combining the target first data analysis model according to the starting sequence to obtain a target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. According to the application, the sub-models for monitoring the equipment elements are constructed, the sub-models are used for sequencing and combining to obtain the model for monitoring the industrial equipment, and the model is used for sequencing and combining to obtain the whole industrial configuration.

In order to construct the first data analysis model, in an alternative embodiment, the step S201 includes:

step S2011, a first construction step, namely constructing a plurality of second data analysis models, wherein the second data analysis models are used for analyzing the operation states of the equipment elements according to a second real-time operation parameter set and a second rated operation parameter of the equipment elements, the second real-time operation parameter set comprises all second operation parameters at the current moment in the operation process of the equipment elements, the second rated operation parameters are set values of the corresponding second operation parameters, the second real-time operation parameter set corresponds to the equipment elements one by one, and the second data analysis models correspond to the equipment elements one by one;

specifically, the device elements in the industrial production process are abstracted, parameter changes in the operation process of the device elements are extracted, a corresponding model is built, and the second data analysis model is obtained and is used for analyzing the working state of the device according to the operation parameters monitored by the monitoring system in the operation process of the device elements.

Step S2012, a first determining step, of determining at least one target second data analysis model according to target equipment information, wherein the target second data analysis model is the second data analysis model corresponding to the equipment elements constituting the industrial equipment, the target equipment information at least includes the composition of the equipment elements and the operation sequence of the equipment elements in the target industrial equipment, and the target industrial equipment is one of the industrial equipment;

Specifically, the component composition of any one of the industrial devices is obtained, and the second data analysis model corresponding to the component included in the industrial device is determined according to the component composition.

Step S2013, a combination step, namely combining the target second data analysis model according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment;

specifically, according to the equipment information, determining the starting sequence of the equipment elements in the operation process of the industrial equipment, and adjusting the interfaces of the second data analysis model to enable the transmission sequence of data to be consistent with the operation sequence of the equipment elements, so as to obtain the first data analysis model for analyzing the operation state of the equipment.

And step S2014, repeating the first construction step, the first determination step and the combination step at least once in sequence until all the first data analysis models corresponding to the industrial equipment are constructed.

Specifically, the first construction step, the first determination step and the combination step complete construction of the first data analysis model corresponding to one industrial device each time the first construction step, the first determination step and the combination step are executed, and the construction of the first data analysis model corresponding to all industrial devices in the production flow can be completed by repeating the above processes.

In order to construct the second data analysis model, in an alternative embodiment, the step S2011 includes:

step S20111, obtaining function information of each equipment element, wherein the function information is a function realized by the equipment element;

in particular, before an element of a device can be abstracted, the element needs to be analyzed to obtain the functions performed by the element in the device.

Step S20112, a second determining step, wherein a processing rule is determined according to the function information, the processing rule comprises a flow processing rule and a plurality of data processing rules, the data processing rule is used for carrying out data filtering, statistics or change on the second real-time operation parameter set, and the flow processing rule is the processing sequence of the data processing rule;

specifically, according to the functions executed by the device elements, the changes of the operation parameters of the device elements in the process of functioning are determined, and then the change rules and the change orders of the parameters are extracted and abstracted into the flow processing rules and the data processing rules.

Step S20113, a third determining step, determining an analysis rule according to the function information, where the analysis rule is used to analyze the operation state of the device element according to the second real-time operation parameter set processed by the processing rule;

Specifically, the model is provided with analysis rules for realizing the function of data analysis in addition to simulating parameter changes in the operation process of the equipment elements. Taking a switch model as an example, the switch model can analyze the running state of the switch according to the real-time voltage and the real-time current flowing through the switch, the switch model, the rated voltage and the rated current recorded in the monitoring system, and also the switch opening and closing frequency statistics and the high-current tripping frequency statistics. In addition, the second data analysis model can also realize analysis expansion according to types, such as analysis of unbalance rate of buses and line loss; the fatigue degree of the equipment can be analyzed, whether the vibration of the equipment is abnormal or not, and the like.

Step S20114, a second construction step, namely constructing the second data analysis model according to the processing rules and the analysis rules;

specifically, after the relevant rules for realizing the model function are determined, the relevant rules are converted into corresponding codes according to the rules, and the second data analysis model can be obtained.

And step S20115, repeating the second determining step, the third determining step, and the second constructing step at least once in sequence until all the second data analysis models corresponding to the device elements are constructed.

Specifically, the second determining step, the third determining step and the second constructing step complete the construction of the second data analysis model corresponding to one equipment element, and the construction of the second data analysis model corresponding to all the equipment elements involved in the production process can be completed by repeating the steps.

In order to realize the data circulation between the models, in an alternative embodiment, after the second data analysis model is combined according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment, the method further includes:

step S301, a first output interface is configured, wherein the first output interface is an output interface of the first data analysis model, and the first output interface is used for sending the running state of a first preset format to a corresponding display end;

specifically, a data output interface of the first data analysis model is configured and used for displaying an analysis result, namely, the analysis result is sent to a corresponding display end. And further, the output interface supports the transmission of various data because of the difference of the display ends.

Step S302, configuring a plurality of first input interfaces, where the first input interfaces are input interfaces of the first data analysis model, the first input interfaces are used to send the first operating parameters and the first rated operating parameters of the device element to corresponding second input interfaces, the second input interfaces are input interfaces of the second data analysis model, and the device element corresponds to the second input interfaces one by one.

Specifically, the data input interface of the first data analysis model is configured, and is used for mapping data collected by the monitoring system into a corresponding second data analysis model according to a preset rule, and meanwhile, the input interface also has a function of data format conversion, so that a message of the MQTT can be directly mapped into a data attribute, and a certain data point of 104 isotactics can also be mapped into a certain data attribute of the model.

In order to achieve data flow between models, in an alternative embodiment, after constructing a plurality of the second data analysis models, the method further comprises:

step S401, configuring a second output interface, where the second output interface is an output interface of the second data analysis model, and the second output interface is configured to send the running state of the first preset format to the first output interface;

specifically, a data output interface of the second data analysis model is configured, and the interface is used for sending the analysis result of the second data analysis model to the first data analysis model for integration, so as to perform comprehensive analysis on the running state of the equipment.

Step S402, configuring a plurality of second input interfaces, where the second input interfaces are configured to convert a plurality of operation parameters in a second preset format into operation parameters in the first preset format, where the operation parameters include the second operation parameters and the second rated operation parameters.

Specifically, the data input interface of the second data analysis model is configured, and is used for converting the data distributed by the first input interface into a corresponding format, that is, the message of the MQTT is directly mapped into the data attribute, or a certain data point of 104 isotactics may be mapped into a certain data attribute of the model.

In order to implement the data processing and analysis function of the second data analysis model, in an alternative embodiment, the step S20112 includes:

determining the filtering rule according to the function information, wherein the filtering rule is used for removing noise parameters in the second real-time operation parameter set;

specifically, a filtering rule is determined according to the above-mentioned functional information, and is used for removing noise data except for analysis from operation parameters generated in the operation process of the equipment element.

Determining the statistical rule according to the functional information, wherein the statistical rule is at least used for counting the extreme value of the second real-time operation parameter set;

specifically, a statistics rule is determined according to the above functional information, and is used for counting partial data in operation parameters generated in the operation process of the equipment element, and counting the switching on/off times and the high-current tripping times of the switch and the corresponding duration time by taking the switch as an example.

Determining the calculation rule according to the function information, wherein the calculation rule is used for calculating a second real-time operation parameter set to obtain characteristic parameters for analysis, and the calculation rule corresponds to elements in the industrial equipment one by one;

specifically, according to the functional information, a calculation rule is determined and used for simulating parameter changes in the running process of the equipment element, and the filtered running parameters are processed to obtain characteristic parameters for analysis.

And determining the flow processing rule according to the filtering rule, the statistical rule and the calculation rule.

Specifically, the filtering rule, the statistical rule and the calculation rule of the element are combined according to requirements, different combinations correspond to different analysis requirements, and each combination is sequentially stored to be the flow processing rule.

In addition, the filtering rule, the statistics rule, the calculation rule and the flow processing rule can be customized according to different functions of the device element.

In order to find problems in the industrial process in real time, in an alternative embodiment, after obtaining the target industrial configuration, the method further comprises:

Step S501, controlling the display terminal to display the operation states of the industrial equipment and the equipment elements according to the operation states of the first preset format.

Specifically, the analysis results of all the elements, all the equipment and the whole production flow are displayed on the corresponding display end, so that the maintenance of workers is facilitated when problems occur, and the inspection of the production flow can be realized through monitoring the analysis results.

In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for generating an industrial configuration of the present application will be described in detail below with reference to specific embodiments.

The embodiment relates to a specific method for generating a switch model, as shown in fig. 3, including the following steps:

step S1: firstly, generating a corresponding switch model according to equipment;

step S2: the data types received by the input interface of the configuration switch model comprise real-time data (voltage, current and the like) and attribute data (switch model, rated voltage, rated current and the like) of the switch, and the real-time data can be directly accessed from the MQTT or mapped from other communication protocols;

step S3: configuring processing rules of a model, such as configuring switch opening and closing times statistics (normal tripping and accident tripping) and large-current tripping times statistics;

Step S4: configuring flow rules of the model, such as locking conditions of the operation switch times;

step S5: the analysis rules of the configuration model are comprehensively analyzed and evaluated according to the fault tripping times, the high-current tripping times, the switching action time and the like of the switch;

step S6: configuring an output interface of the model, in particular configuring externally issued data and corresponding protocols;

step S7: the data type output by the output interface is configured, such as the limit value of the switch current value, the state of the switch and the like.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.

The embodiment of the application also provides a device for generating the industrial configuration, and the device for generating the industrial configuration can be used for executing the method for generating the industrial configuration provided by the embodiment of the application. The device is used for realizing the above embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

The following describes an industrial configuration generating device provided by the embodiment of the present application.

Fig. 4 is a block diagram of an industrial configuration generating apparatus according to an embodiment of the present application. As shown in fig. 4, the apparatus includes:

a construction unit 10, configured to construct a plurality of first data analysis models, where the first data analysis models are configured to analyze an operation state of an industrial device according to a first real-time operation parameter set and a first rated operation parameter of the industrial device, where the first real-time operation parameter set includes all first operation parameters at a current moment in an operation process of the industrial device, the first rated operation parameter is a set value of the corresponding first operation parameter, the operation state includes at least a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial device one by one, and the first data analysis models correspond to the industrial device one by one;

An obtaining unit 20, configured to obtain production flow information, and determine at least one target first data analysis model according to the production flow information, where the production flow information includes a start-up sequence of the industrial equipment that completes a production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow;

And a combination unit 30, configured to combine the target first data analysis model according to the start-up sequence to obtain a target industrial configuration, where the target industrial configuration is used to monitor the production process.

In this embodiment, the construction unit constructs a plurality of first data analysis models, where the first data analysis models are configured to analyze an operation state of an industrial device according to a first real-time operation parameter set and a first rated operation parameter of the industrial device, where the first real-time operation parameter set includes all first operation parameters at a current time in an operation process of the industrial device, the first rated operation parameter is a set value of the corresponding first operation parameter, the operation state includes at least a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial device one by one, and the first data analysis models correspond to the industrial device one by one; the method comprises the steps that an acquisition unit acquires production flow information and determines at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of industrial equipment for completing a production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and the combination unit combines the target first data analysis models according to the starting sequence to obtain target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. According to the application, the sub-models for monitoring the equipment elements are constructed, the sub-models are used for sequencing and combining to obtain the model for monitoring the industrial equipment, and the model is used for sequencing and combining to obtain the whole industrial configuration.

In order to construct the first data analysis model, in an alternative embodiment, the constructing unit includes:

a building module, configured to perform a first building step, and build a plurality of second data analysis models, where the second data analysis models are configured to analyze the operation states of the device elements according to a second real-time operation parameter set of the device elements and a second rated operation parameter, where the second real-time operation parameter set includes all second operation parameters at a current time in an operation process of the device elements, the second rated operation parameters are set values of the corresponding second operation parameters, the second real-time operation parameter set corresponds to the device elements one by one, and the second data analysis models correspond to the device elements one by one;

A determining module, configured to execute a first determining step, to determine at least one target second data analysis model according to target equipment information, where the target second data analysis model is the second data analysis model corresponding to the equipment elements that compose the industrial equipment, and the target equipment information includes at least a composition of the equipment elements and an operation order of the equipment elements in a target industrial equipment, and the target industrial equipment is one of the industrial equipment;

The combination module is used for executing a combination step, and combining the target second data analysis model according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment;

And the repeating module is used for sequentially repeating the first construction step, the first determination step and the combination step at least once until all the first data analysis models corresponding to the industrial equipment are constructed.

an acquisition sub-module, configured to execute an acquisition step, and acquire function information of each device element, where the function information is a function implemented by the device element;

The first determining submodule is used for executing a second determining step and determining a processing rule according to the functional information, wherein the processing rule comprises a flow processing rule and a plurality of data processing rules, the data processing rule is used for carrying out data filtering, statistics or change on the second real-time operation parameter set, and the flow processing rule is the processing sequence of the data processing rule;

A second determining sub-module, configured to execute a third determining step, to determine an analysis rule according to the function information, where the analysis rule is configured to analyze the operation state of the device element according to the second real-time operation parameter set processed by the processing rule;

A building sub-module, configured to execute a second building step, and build the second data analysis model according to the processing rule and the analysis rule;

And the repeating sub-module is used for executing the second determining step, the third determining step and the second constructing step which are repeated at least once in sequence until the second data analysis models corresponding to all the equipment elements are constructed.

In order to realize the data circulation between models, in an alternative embodiment, the above device further comprises:

the first configuration unit is used for configuring a first output interface after the target second data analysis model is combined according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment, wherein the first output interface is an output interface of the first data analysis model, and the first output interface is used for sending the running state in a first preset format to a corresponding display end;

The second configuration unit is configured to configure a plurality of first input interfaces, where the first input interfaces are input interfaces of the first data analysis model, the first input interfaces are used to send the first operating parameters and the first rated operating parameters of the device element to corresponding second input interfaces, the second input interfaces are input interfaces of the second data analysis model, and the device element corresponds to the second input interfaces one by one.

a third configuration unit, configured to configure a second output interface after constructing a plurality of the second data analysis models, where the second output interface is an output interface of the second data analysis model, and the second output interface is configured to send the running state in the first preset format to the first output interface;

And the fourth configuration unit is used for configuring a plurality of second input interfaces, the second input interfaces are used for converting a plurality of operation parameters in a second preset format into the operation parameters in the first preset format, and the operation parameters comprise the second operation parameters and the second rated operation parameters.

In order to implement the data processing and analysis function of the second data analysis model, in an alternative embodiment, the first determination submodule includes:

a third determining sub-module, configured to determine the filtering rule according to the function information, where the filtering rule is used to remove noise parameters in the second real-time operation parameter set;

A fourth determining sub-module, configured to determine the statistics rule according to the function information, where the statistics rule is at least used to make statistics of an extremum of the second real-time operation parameter set;

A fifth determining submodule, configured to determine the calculation rule according to the function information, where the calculation rule is used to calculate the second real-time operation parameter set to obtain a feature parameter for analysis, and the calculation rule corresponds to elements in the industrial equipment one by one;

And the sixth determining submodule is used for determining the flow processing rule according to the filtering rule, the statistical rule and the calculation rule.

In order to find problems in the industrial process immediately, in an alternative embodiment, the apparatus further comprises:

and the control unit is used for controlling the display end to display the running states of the industrial equipment and the equipment elements according to the running states of the first preset format after the target industrial configuration is obtained.

The device for generating the industrial configuration comprises a processor and a memory, wherein the construction unit, the acquisition unit, the combination unit and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions. The modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and industrial configuration data flexible combination and expansion are realized by adjusting kernel parameters.

The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a computer readable storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the computer readable storage medium is located to execute the method for generating the industrial configuration.

Specifically, the method for generating the industrial configuration comprises the following steps:

The embodiment of the invention provides a processor, which is used for running a program, wherein the generation method of the industrial configuration is executed when the program runs.

The embodiment of the invention provides a monitoring system, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the processor realizes at least the following steps when executing the program:

The application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with at least the following method steps:

It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

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

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or 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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

1) Firstly, constructing a plurality of first data analysis models, wherein the first data analysis models are used for analyzing the operation states of industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are corresponding set values of the first operation parameters, the operation states at least comprise a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one; then, acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and finally, combining the target first data analysis model according to the starting sequence to obtain a target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. According to the application, the sub-models for monitoring the equipment elements are constructed, the sub-models are used for sequencing and combining to obtain the model for monitoring the industrial equipment, and the model is used for sequencing and combining to obtain the whole industrial configuration.

2) The construction unit is used for constructing a plurality of first data analysis models, wherein the first data analysis models are used for analyzing the operation states of the industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are corresponding set values of the first operation parameters, the operation states at least comprise a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one; the method comprises the steps that an acquisition unit acquires production flow information and determines at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of industrial equipment for completing a production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow; and the combination unit combines the target first data analysis models according to the starting sequence to obtain target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow. According to the application, the sub-models for monitoring the equipment elements are constructed, the sub-models are used for sequencing and combining to obtain the model for monitoring the industrial equipment, and the model is used for sequencing and combining to obtain the whole industrial configuration.

The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by 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 protection scope of the present application.

Claims

1. A method for generating an industrial configuration, the method comprising:

a plurality of first data analysis models are built, the first data analysis models are used for analyzing the operation state of industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are set values of the corresponding first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis models correspond to the industrial equipment one by one;

acquiring production flow information, and determining at least one target first data analysis model according to the production flow information, wherein the production flow information comprises the starting sequence of the industrial equipment for completing the production flow, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production flow;

And combining the target first data analysis models according to the starting sequence to obtain a target industrial configuration, wherein the target industrial configuration is used for monitoring the production flow.

2. The method of claim 1, wherein constructing a plurality of first data analysis models comprises:

a first construction step, namely constructing a plurality of second data analysis models, wherein the second data analysis models are used for analyzing the operation states of equipment elements according to second real-time operation parameter groups and second rated operation parameters of the equipment elements, the second real-time operation parameter groups comprise all second operation parameters at the current moment in the operation process of the equipment elements, the second rated operation parameters are set values of the corresponding second operation parameters, the second real-time operation parameter groups are in one-to-one correspondence with the equipment elements, and the second data analysis models are in one-to-one correspondence with the equipment elements;

a first determining step of determining at least one target second data analysis model according to target equipment information, wherein the target second data analysis model is the second data analysis model corresponding to the equipment elements composing the industrial equipment, the target equipment information at least comprises the composition of the equipment elements and the operation sequence of the equipment elements in target industrial equipment, and the target industrial equipment is one of the industrial equipment;

Combining, namely combining the target second data analysis model according to the target equipment information to obtain the first data analysis model corresponding to the target industrial equipment;

and sequentially repeating the first construction step, the first determination step and the combination step at least once until all the first data analysis models corresponding to the industrial equipment are constructed.

3. The method of claim 2, wherein constructing a plurality of second data analysis models comprises:

an acquisition step of acquiring function information of each equipment element, wherein the function information is a function realized by the equipment element;

a second determining step, determining a processing rule according to the function information, wherein the processing rule comprises a flow processing rule and a plurality of data processing rules, the data processing rule is used for carrying out data filtering or statistics or change on the second real-time operation parameter set, and the flow processing rule is the processing sequence of the data processing rule;

a third determining step of determining an analysis rule according to the function information, the analysis rule being used for analyzing the operation state of the equipment element according to the second real-time operation parameter set processed by the processing rule;

A second construction step of constructing the second data analysis model according to the processing rule and the analysis rule;

and sequentially repeating the second determining step, the third determining step and the second constructing step at least once until all the second data analysis models corresponding to the equipment elements are constructed.

4. The method of claim 2, wherein after combining the target second data analysis model according to the target device information to obtain the first data analysis model corresponding to the target industrial device, the method further comprises:

configuring a first output interface, wherein the first output interface is an output interface of the first data analysis model, and the first output interface is used for sending the running state of a first preset format to a corresponding display end;

a plurality of first input interfaces are configured, wherein the first input interfaces are input interfaces of the first data analysis model, the first input interfaces are used for sending the first operating parameters and the first rated operating parameters of the equipment element to corresponding second input interfaces, the second input interfaces are input interfaces of the second data analysis model, and the equipment element corresponds to the second input interfaces one by one.

5. The method of claim 4, wherein after constructing the plurality of second data analysis models, the method further comprises:

configuring a second output interface, wherein the second output interface is an output interface of the second data analysis model, and the second output interface is used for sending the running state of the first preset format to the first output interface;

and configuring a plurality of second input interfaces, wherein the second input interfaces are used for converting a plurality of operation parameters in a second preset format into the operation parameters in the first preset format, and the operation parameters comprise the second operation parameters and the second rated operation parameters.

6. A method according to claim 3, wherein the data processing rules include filtering rules, statistical rules and calculation rules, and determining processing rules from the functional information comprises:

determining the filtering rule according to the functional information, wherein the filtering rule is used for removing noise parameters in the second real-time operation parameter set;

7. The method of claim 4, wherein after obtaining the target industrial configuration, the method further comprises:

and controlling the display end to display the running states of the industrial equipment and the equipment elements according to the running states of the first preset format.

8. An apparatus for generating an industrial configuration, the apparatus comprising:

the system comprises a construction unit, a first data analysis module and a control unit, wherein the construction unit is used for constructing a plurality of first data analysis models, the first data analysis models are used for analyzing the operation state of industrial equipment according to a first real-time operation parameter set and a first rated operation parameter of the industrial equipment, the first real-time operation parameter set comprises all first operation parameters at the current moment in the operation process of the industrial equipment, the first rated operation parameters are corresponding set values of the first operation parameters, the operation state at least comprises a fault operation state and a normal operation state, the first real-time operation parameter set corresponds to the industrial equipment one by one, and the first data analysis model corresponds to the industrial equipment one by one;

The production process information comprises a starting sequence of the industrial equipment for completing the production process, and the target first data analysis model is the first data analysis model corresponding to the industrial equipment related to the production process;

and the combination unit is used for combining the target first data analysis model according to the starting sequence to obtain a target industrial configuration, and the target industrial configuration is used for monitoring the production flow.

9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer readable storage medium is located to perform the method of any one of claims 1 to 7.

10. A monitoring system, comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of any of claims 1-7.