CN117055506A - Method and system for monitoring industrial equipment based on GIS technology, equipment and medium - Google Patents
Method and system for monitoring industrial equipment based on GIS technology, equipment and medium Download PDFInfo
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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Abstract
The application relates to the technical field of GIS (geographic information system), and discloses a method and a system for monitoring industrial equipment based on the GIS technology, wherein the method comprises the following steps: dividing an industrial equipment management system into a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit according to a GIS technology, establishing an industrial equipment network model in the data processing unit, inputting an acquired industrial data set into a trained industrial equipment network model, and generating an industrial equipment display layer; deploying a GIS algorithm; and displaying the specific positions of the industrial equipment distribution in the industrial equipment management system, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment. The system comprises a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit. The application also discloses an electronic device and a computer readable storage medium. The GIS technology is used for introducing the GIS technology into monitoring and controlling industrial equipment, and improving the management of the industrial equipment.
Description
Technical Field
The application relates to the technical field of GIS (geographic information system), in particular to a method, a system, equipment and a medium for monitoring industrial equipment based on the GIS technology, which are used for introducing the GIS technology into monitoring and controlling the industrial equipment and perfecting the management of the industrial equipment.
Background
Under the development trend of modern and industrialized society, the application and the demand of industrial equipment are coming to be increased in an explosive manner in order to meet the development of productivity. In order to avoid the problem of serious production accidents caused by sudden faults of industrial equipment, engineering personnel need to make effective maintenance plans for the equipment. Predictive maintenance of industrial equipment is a critical factor in improving manufacturing competitiveness because the efficiency of maintenance has a direct impact on the cost, deadline, and quality of the product being produced or the service being provided. In this large context, both the operations and maintenance areas must be upgraded simultaneously to ensure availability of human and material resources and a quick response to the operation problem, thus ensuring that the objective is achieved while maximizing the available resources.
GIS technology is based on a geographic space database, and under the support of computer software and hardware, the geographic data with spatial connotation is scientifically managed and analyzed by using system engineering and information science theory, so as to provide a technical system for managing, deciding and other information.
The application provides a method, a system, equipment and a medium for monitoring industrial equipment based on a GIS technology, which are used for introducing the GIS technology into industrial equipment monitoring management and control to perfect industrial equipment management.
Disclosure of Invention
The application provides a method, a system, equipment and a medium for monitoring industrial equipment based on a GIS technology, which are used for introducing the GIS technology into industrial equipment monitoring management and control to perfect industrial equipment management.
The application is realized by the following technical scheme: a method for monitoring industrial equipment based on a GIS technology, comprising the following steps:
s1, establishing an industrial equipment management coordinate system, dividing the industrial equipment management system into a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit according to a GIS technology, wherein the industrial equipment operation unit comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library;
s2, establishing an industrial equipment network model in the data processing unit, wherein the industrial equipment acquisition model comprises a feature extraction module, a target detection module and a feature output module, wherein the target detection module uses a 3D convolution layer and a 3D pooling layer to perform feature detection, trains the industrial equipment network model through a loss function, and generates a trained industrial equipment network model by setting relevant super parameters;
s3, establishing an industrial data set in the data acquisition unit, and inputting the acquired industrial data set into a trained industrial equipment network model by the data acquisition unit to generate a converted industrial equipment display layer;
s4, deploying a GIS algorithm in the GIS display and management unit;
and S5, displaying the specific positions of the industrial equipment distribution in the industrial equipment management system, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment.
In order to better implement the present application, further, the step S1 includes:
the method comprises the steps of importing coordinate information of industrial equipment by using GIS map making software, performing attribute conversion, projection conversion and model output on the coordinate information through a data processing unit, and adding a converted layer to an existing map base map;
and storing the industrial data set by using an industrial equipment database in the industrial equipment operation unit, and finally enabling the map to be displayed on a display platform of an industrial equipment management system.
In order to better implement the present application, further, the method for constructing an industrial equipment database in step S1 includes:
and defining information of the industrial equipment in the industrial equipment database, wherein the information of the industrial equipment comprises unique identification information, level identification information, service table name information, service primary key information and service association key information of a historical industrial equipment data set.
In order to better realize the application, further, the industrial equipment information data is acquired and then stored in the industrial equipment database, the type of service processing is judged in the industrial equipment database, the table names, the service main keys and the service association keys of the service processing are split according to different types, whether unique identifiers exist in historical industrial equipment data set definitions or not is inquired by using the table names, when the unique identifiers do not exist in the table names, the fact that the acquired industrial equipment information data does not exist in the historical data set definitions is judged, and the industrial equipment information data is packaged to generate change data according to the information in the historical data set definitions and the industrial equipment matching library and is updated in the industrial equipment database.
In order to better implement the present application, further, the step S2 includes:
establishing an industrial equipment network model through a feature extraction module, a target detection module and a feature output module which are sequentially connected from front to back;
the characteristic extraction module comprises a convolution layer, a first normalization layer and a linear correction layer which are sequentially connected from front to back;
the target detection module comprises a 3D convolution layer, a residual layer and a second normalization layer which are sequentially connected from front to back;
the feature output module includes a full connection layer.
To better implement the application, further, the industrial data dataset is scaled into a training set and a testing set;
extracting characteristics of industrial equipment data by using the convolution layer, processing the characteristics of different input industrial equipment data by using the first normalization layer, adjusting intermediate output parameters, and adjusting the interdependence relation of the parameters by using the linear correction layer;
the 3D convolution layer is used for searching the characteristics contained in the industrial equipment data signals, so that information loss is avoided; reducing the spatial dimension of the image using the 3D pooling layer while retaining only the most descriptive pixels;
integrating the characteristic information extracted by the 3D convolution layer and the 3D pooling layer by using the full connection layer, and then carrying out regression analysis by using an activation function;
and guiding the learning of the industrial equipment network model by using the loss function, setting related super parameters, and continuously iterating the attenuation loss value until the iteration number is equal to the maximum iteration number, stopping the training of the training set, and generating a trained industrial equipment network model.
In order to better implement the present application, further, the step S4 includes:
the GIS algorithm obtains the embedded container threshold registration constraint by defining the constraint of the container threshold correction value, releases the authority and the process thereof to the bottom registration center of the industrial equipment management system at the moment of starting the algorithm service, realizes the obtaining of the highest authority, and the embedded container threshold registration constraint function is expressed as: th=max|y a -y e And the y and yb are first and second-level authorities corresponding to the embedded container registration threshold, and the Th is embedded container threshold registration constraint.
The application also provides a system for monitoring the industrial equipment based on the GIS technology, which comprises a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit, wherein:
the data acquisition unit is used for establishing an industrial data set, inputting the acquired industrial data set into a trained industrial equipment network model, and generating a converted industrial equipment display layer;
the data processing unit is used for establishing an industrial equipment network model, the industrial equipment acquisition model comprises a feature extraction module, a target detection module and a feature output module, the target detection module uses a 3D convolution layer and a 3D pooling layer to perform feature detection, the industrial equipment network model is trained through a loss function, and a trained industrial equipment network model is generated through setting relevant super parameters;
the GIS display and management unit is used for deploying a GIS algorithm, displaying the specific positions of the industrial equipment distribution, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment;
and the industrial equipment operation unit comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library and is used for carrying out industrial equipment data related operation.
The application also provides an electronic device, which comprises a processor and a memory; the processor comprises the system for monitoring industrial equipment based on GIS technology as described in the second aspect.
The present application also provides a computer-readable storage medium comprising instructions; the instructions, when executed on an electronic device as described in the third aspect, cause the electronic device to perform the method as described in the first aspect.
Compared with the prior art, the application has the following advantages:
(1) The application provides a method, a system, equipment and a medium for monitoring industrial equipment based on a GIS technology, which are used for introducing the GIS technology into industrial equipment monitoring management and control to perfect the management of the industrial equipment;
(2) The application provides a method, a system, equipment and a medium for monitoring industrial equipment based on a GIS technology, which mainly focus on functional modules such as equipment management and monitoring, an analysis model, industrial equipment matching, industrial equipment operation and the like, and have good universality and expansibility.
Drawings
The application is further described with reference to the following drawings and examples, and all inventive concepts of the application are to be considered as being disclosed and claimed.
FIG. 1 is a flow chart of a method for monitoring industrial equipment based on GIS technology according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an industrial equipment network model in a method for monitoring industrial equipment based on GIS technology according to an embodiment of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the technical solutions of 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, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments, and therefore should not be considered as limiting the scope of protection. All other embodiments, which are obtained by a worker of ordinary skill in the art without creative efforts, are within the protection scope of the present application based on the embodiments of the present application.
In the description of the present application, it should be noted that, unless explicitly stated and limited otherwise, the terms "disposed," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; or may be directly connected, or may be indirectly connected through an intermediate medium, or may be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1:
according to the method, the system, the equipment and the medium for monitoring the industrial equipment based on the GIS technology, the real-time state of the equipment is intuitively displayed on the GIS map, and a simple and convenient operation environment with a combined picture and text is created for a user. The system monitors the fault alarm, fault maintenance, maintenance and construction states of the equipment in real time, and the number of the equipment currently in the fault or maintenance and construction states is displayed above the page. For example, when the equipment fails, the geographical position is accurately displayed on the map according to the longitude and latitude of the failed equipment, the alarm lamp flashes to remind a user that the current detection station equipment fails, and a mouse is placed on the alarm lamp to display the name, the number, the line, the failure occurrence time and the detailed failure information of the alarm equipment. The operator can analyze the fault details and dispatch the faults. Therefore, the GIS technology is introduced into monitoring and controlling of industrial equipment, and management of the industrial equipment is perfected.
As shown in fig. 1, the method flow is as follows:
s1, establishing an industrial equipment management coordinate system, dividing the industrial equipment management system into a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit according to a GIS technology, wherein the industrial equipment operation unit comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library;
s2, establishing an industrial equipment network model in a data processing unit, wherein the industrial equipment acquisition model comprises a feature extraction module, a target detection module and a feature output module, wherein a 3D convolution layer and a 3D pooling layer are used for feature detection in the target detection module, the industrial equipment network model is trained through a loss function, and a trained industrial equipment network model is generated through setting relevant super parameters;
s3, establishing an industrial data set in a data acquisition unit, and inputting the acquired industrial data set into a trained industrial equipment network model by the data acquisition unit to generate a converted industrial equipment display layer;
s4, deploying a GIS algorithm in the GIS display and management unit;
and S5, displaying the specific positions of the industrial equipment distribution in the industrial equipment management system, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment.
The application designs an industrial equipment operation unit which comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library, wherein the industrial equipment operation unit provides a full life cycle management function of equipment. The equipment temporary maintenance caused by the periodical maintenance and the alarm of the equipment can be subjected to informatization management in an industrial equipment operation unit, and meanwhile, the operation starting time, the operation ending time and the operator are recorded, so that the follow-up tracking is convenient.
The method comprises the steps of importing coordinate information of industrial equipment by using GIS map making software, performing attribute conversion, projection conversion and model output on the coordinate information through a data processing unit, and adding a converted layer to an existing map base map;
and storing the industrial data set by using an industrial equipment database in the industrial equipment operation unit, and finally enabling the map to be displayed on a display platform of the industrial equipment management system.
The method comprises the steps of acquiring industrial equipment information data, storing the industrial equipment information data into an industrial equipment database, judging the type of service processing in the industrial equipment database, splitting table names, service main keys and service association keys of the service processing according to different types, inquiring whether unique identifiers exist in historical industrial equipment data set definitions by using the table names, judging that the acquired industrial equipment information data does not exist in the historical data set definitions when the unique identifiers do not exist in the table names, combining the historical data set definitions and information in an industrial equipment matching library, packaging the industrial equipment information data to generate change data, and updating the change data in the industrial equipment database.
Example 2:
this embodiment is further optimized on the basis of embodiment 1, where information of the industrial equipment is defined in the industrial equipment database, and a unique identifier of the historical dataset is used to specify a set of historical data. A level identifier for determining a level of the historical data in the dataset. The service table names recorded in the historical data set can be used for service function correspondence and service attribute acquisition. And the service main key defines the unique service attribute for the service table and is used for data query. And the service association key defines association of different levels for the service table, and realizes association inquiry through the association.
Other portions of this embodiment are the same as those of embodiment 1, and thus will not be described in detail.
Example 3:
this embodiment is further optimized based on embodiments 1 or 2 above, and the dataset of the industrial equipment is typically formed by a plurality of sensors and information sources collected and applied to a predictive model. Interference, such as noise interference, is often present during the collection of industrial data sets, making the prediction task more difficult. Therefore, the above problems are solved by establishing an industrial equipment network model, as shown in fig. 2, extracting characteristics of industrial equipment data by using a convolution layer, processing the characteristics of different input industrial equipment data by using a first normalization layer, adjusting intermediate output parameters, and adjusting interdependence of parameters by using a linear correction layer; the 3D convolution layer is used for searching the characteristics contained in the industrial equipment data signals, so that information loss is avoided; reducing the spatial dimension of the image using a 3D pooling layer while retaining only the most descriptive pixels; integrating the characteristic information extracted by the 3D convolution layer and the 3D pooling layer by using the full connection layer, and then carrying out regression analysis by using an activation function; and guiding the learning of the industrial equipment network model by using the loss function, setting related super parameters, and continuously iterating the attenuation loss value until the iteration number is equal to the maximum iteration number, stopping the training of the training set, and generating a trained industrial equipment network model.
Other portions of this embodiment are the same as any of embodiments 1 or 2 described above, and thus will not be described again.
Example 4:
the embodiment is further optimized based on any one of the embodiments 1-3, in order to ensure that the GIS algorithm is successfully embedded, a dynamic module is used as a registry loading container, and the authority and the process thereof are released to a bottom registry at the moment of starting the algorithm service, so that the highest authority is obtained. The process corresponds to the algorithm as follows:
according to the first and second level authority y corresponding to the algorithm embedded container registration threshold a And y b An embedded container threshold registration constraint function calculation may be obtained,
Th＝max|y a -y e |；
the GIS algorithm embedded key value corresponding to the ideal threshold value state is provided with general user permission, in order to avoid larger module error in the container embedded calculation process, the ideal threshold value corresponding to the algorithm embedded container is designed to be increased, after the threshold value is adjusted, the container threshold value error amount obtained at the moment is the container coefficient adjustment optimization, in order to ensure that the container threshold value after optimization is consistent with the authority coefficient of the registration center, the constraint of the container threshold value correction value is defined, and the registration constraint of the embedded container threshold value is Th.
Other portions of this embodiment are the same as any of embodiments 1 to 3 described above, and thus will not be described again.
Example 5:
the application also provides a system matched with the method and based on the GIS technology for monitoring the industrial equipment, which comprises a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit.
The application also provides an electronic device, which comprises a processor and a memory; the processor comprises the system for monitoring industrial equipment based on the GIS technology.
Example 6:
the present application also provides a computer-readable storage medium comprising instructions; when the instructions are executed on the electronic device described in the above embodiment, the electronic device is caused to perform the method described in the above embodiment. In the alternative, the computer readable storage medium may be a memory.
The processor referred to in the embodiments of the present application may be a chip. For example, it may be a field programmable gate array (field programmable gate array, FPGA), an application specific integrated chip (application specific integrated circuit, ASIC), a system on chip (SoC), a central processing unit (central processor unit, CPU), a network processor (network processor, NP), a digital signal processing circuit (digital signal processor, DSP), a microcontroller (micro controller unit, MCU), a programmable controller (programmable logic device, PLD) or other integrated chip.
The memory to which embodiments of the present application relate may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another device, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physically separate, i.e., may be located in one device, or may be distributed over multiple devices. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present application may be integrated in one device, or each module may exist alone physically, or two or more modules may be integrated in one device.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing description is only a preferred embodiment of the present application, and is not intended to limit the present application in any way, and any simple modification and equivalent variation of the above embodiment according to the technical matter of the present application falls within the scope of the present application.
Claims (10)
1. A method for monitoring industrial equipment based on a GIS technology, which is characterized by comprising the following steps:
s1, establishing an industrial equipment management coordinate system, dividing the industrial equipment management system into a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit according to a GIS technology, wherein the industrial equipment operation unit comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library;
s2, establishing an industrial equipment network model in the data processing unit, wherein the industrial equipment acquisition model comprises a feature extraction module, a target detection module and a feature output module, wherein the target detection module uses a 3D convolution layer and a 3D pooling layer to perform feature detection, trains the industrial equipment network model through a loss function, and generates a trained industrial equipment network model through setting relevant super parameters;
s3, establishing an industrial data set in the data acquisition unit, and inputting the acquired industrial data set into a trained industrial equipment network model by the data acquisition unit to generate a converted industrial equipment display layer;
s4, deploying a GIS algorithm in the GIS display and management unit;
and S5, displaying the specific positions of the industrial equipment distribution in the industrial equipment management system, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment.
2. The method for monitoring industrial equipment based on GIS technology according to claim 1, wherein the step S1 comprises:
the method comprises the steps of importing coordinate information of industrial equipment by using GIS map making software, performing attribute conversion, projection conversion and model output on the coordinate information through a data processing unit, and adding a converted layer to an existing map base map;
and storing the industrial data set by using an industrial equipment database in the industrial equipment operation unit, and finally enabling the map to be displayed on a display platform of an industrial equipment management system.
3. The method for monitoring industrial equipment based on the GIS technology according to claim 1, wherein the method for constructing the industrial equipment database in step S1 comprises:
and defining information of the industrial equipment in the industrial equipment database, wherein the information of the industrial equipment comprises unique identification information, level identification information, service table name information, service primary key information and service association key information of a historical industrial equipment data set.
4. A method of monitoring industrial equipment based on GIS technology as claimed in claim 3, comprising:
the method comprises the steps of acquiring industrial equipment information data, storing the industrial equipment information data into an industrial equipment database, judging the type of service processing in the industrial equipment database, splitting table names, service main keys and service association keys of the service processing according to different types, inquiring whether unique identifiers exist in historical industrial equipment data set definitions by using the table names, judging that the acquired industrial equipment information data does not exist in the historical data set definitions when the unique identifiers do not exist in the table names, and packaging the industrial equipment information data to generate changed data by combining the historical data set definitions and information in an industrial equipment matching library, and updating the changed data in the industrial equipment database.
5. The method for monitoring industrial equipment based on GIS technology according to claim 1, wherein the step S2 comprises:
establishing an industrial equipment network model through a feature extraction module, a target detection module and a feature output module which are sequentially connected from front to back;
the characteristic extraction module comprises a convolution layer, a first normalization layer and a linear correction layer which are sequentially connected from front to back;
the target detection module comprises a 3D convolution layer, a residual layer and a second normalization layer which are sequentially connected from front to back;
the feature output module includes a full connection layer.
6. The method for monitoring industrial equipment based on the GIS technology according to claim 5, comprising:
dividing the industrial data set into a training set and a testing set according to a proportion;
extracting characteristics of industrial equipment data by using the convolution layer, processing the characteristics of different input industrial equipment data by using the first normalization layer, adjusting intermediate output parameters, and adjusting the interdependence relation of the parameters by using the linear correction layer;
the 3D convolution layer is used for searching the characteristics contained in the industrial equipment data signals, so that information loss is avoided; reducing the spatial dimension of the image using the 3D pooling layer while retaining only the most descriptive pixels;
integrating the characteristic information extracted by the 3D convolution layer and the 3D pooling layer by using the full connection layer, and then carrying out regression analysis by using an activation function;
and guiding the learning of the industrial equipment network model by using the loss function, setting related super parameters, and continuously iterating the attenuation loss value until the iteration number is equal to the maximum iteration number, stopping the training of the training set, and generating a trained industrial equipment network model.
7. The method for monitoring industrial equipment based on GIS technology according to claim 1, wherein the step S4 comprises:
the GIS algorithm obtains the embedded container threshold registration constraint by defining the constraint of the container threshold correction value, releases the authority and the process thereof to the bottom registration center of the industrial equipment management system at the moment of starting the algorithm service, realizes the obtaining of the highest authority, and the embedded container threshold registration constraint function is expressed as: th=max|y a -y e I, wherein y a And y b Is the first and second level authority corresponding to the embedded container registration threshold, and Th is the embedded container threshold registration constraint.
8. The system for monitoring the industrial equipment based on the GIS technology is characterized by comprising a data acquisition unit, a data processing unit, a GIS display and management unit and an industrial equipment operation unit, wherein:
the data acquisition unit is used for establishing an industrial data set, inputting the acquired industrial data set into a trained industrial equipment network model, and generating a converted industrial equipment display layer;
the data processing unit is used for establishing an industrial equipment network model, the industrial equipment acquisition model comprises a feature extraction module, a target detection module and a feature output module, the target detection module uses a 3D convolution layer and a 3D pooling layer to perform feature detection, the industrial equipment network model is trained through a loss function, and a trained industrial equipment network model is generated through setting relevant super parameters;
the GIS display and management unit is used for deploying a GIS algorithm, displaying the specific positions of the industrial equipment distribution, recording the specific information of the industrial equipment, and updating the information of the industrial equipment in real time so as to monitor the industrial equipment;
and the industrial equipment operation unit comprises an industrial equipment database, an industrial equipment matching library and an industrial equipment information query library and is used for carrying out industrial equipment data related operation.
9. An electronic device comprising a processor and a memory; a system for monitoring industrial equipment based on GIS technology as claimed in claim 8 is included in the processor.
10. A computer-readable storage medium, the computer-readable storage medium comprising instructions; the instructions, when run on an electronic device as claimed in claim 9, cause the electronic device to perform the method as claimed in any one of claims 1-7.
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