CN113325790A - Visual intelligent monitoring device and data processing method - Google Patents
Visual intelligent monitoring device and data processing method Download PDFInfo
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- CN113325790A CN113325790A CN202110627042.8A CN202110627042A CN113325790A CN 113325790 A CN113325790 A CN 113325790A CN 202110627042 A CN202110627042 A CN 202110627042A CN 113325790 A CN113325790 A CN 113325790A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides a visual intelligent monitoring device and a data processing method, wherein the method comprises the following steps: acquiring a first operation state and first operation data of target equipment; acquiring video data of target equipment in the operation process, and determining a second operation state and second operation data of the target equipment based on the video data; determining the expression form of a dynamic element corresponding to the target equipment which is constructed in advance based on the first running state; displaying dynamic elements in a representation form, a first operation state, first operation data, a picture model and a graphic object corresponding to a target device which are constructed in advance in a monitoring interface; if the first operating state is different from the second operating state, and/or if the first operating data is different from the second operating data, generating an alarm signal. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a visual intelligent monitoring device and a data processing method.
Background
With the development of society, environmental protection problems in various industries become a focus of social attention. For an electric bag dust collector system, in order to ensure the safe and stable operation of the electric bag dust collector system, the operation state of the electric bag dust collector system needs to be monitored. However, at present, the operation state of the electric bag dust collector system is still monitored in a mode that workers go to the equipment field for monitoring, and the mode consumes larger manpower and material resources, so that the monitoring cost is higher and the monitoring effect is poorer.
Disclosure of Invention
In view of this, embodiments of the present invention provide a visual intelligent monitoring device and a data processing method, so as to solve the problems of high monitoring cost, poor monitoring effect, and the like in the current mode of monitoring an electric bag dust collector system.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
the first aspect of the embodiments of the present invention discloses a visual intelligent monitoring device, which includes: the system comprises a controller, a monitoring system and a visualization system;
the controller is used for acquiring a first operation state and first operation data of target equipment, and the target equipment is equipment belonging to the electric bag dust collector system;
the visualization system is used for acquiring video data of the target equipment in the operation process and determining a second operation state and second operation data of the target equipment based on the video data;
the monitoring system is used for pre-constructing dynamic elements, picture models and graphic objects corresponding to the target equipment; determining a representation of the dynamic element based on the first operating state; displaying the dynamic element in the representation form and displaying the first operation state, the first operation data, the picture model and the graphic object in a monitoring interface; and if the first operation state is different from the second operation state and/or if the first operation data is different from the second operation data, generating an alarm signal.
Preferably, the monitoring system is further configured to: establishing a label corresponding to the first operation data and the first operation state; and linking the label corresponding to the first running state with the dynamic element, linking the first running data and the label corresponding to the first running state with the picture model, and linking the first running data and the label corresponding to the first running state with the graphic object.
Preferably, the monitoring system is further configured to: and storing the fault data in the first operation data into an alarm special library, and storing the specified data in the first operation data into a historical data special library.
Preferably, the monitoring system is further configured to: storing the fault data in the alarm special database into an SQL database, and storing the specified data in the historical data special database into the SQL database.
Preferably, the monitoring system configured to display the first operating data in a monitoring interface is specifically configured to:
and extracting the fault data and the specified data from the SQL database, and respectively displaying the fault data and the specified data in the monitoring interface.
Preferably, the controller is specifically configured to: and acquiring a first operation state and first operation data of the target equipment through a preset communication protocol.
Preferably, the visualization system is specifically configured to: and acquiring video data of the target equipment in the operation process by using a camera, and processing the video data by using a three-dimensional space imaging technology and a video processing technology to obtain a second operation state and second operation data of the target equipment.
A second aspect of the present invention discloses a data processing method, which is applied to the visual intelligent monitoring apparatus disclosed in the first aspect of the present invention, and the method includes:
acquiring a first operation state and first operation data of target equipment, wherein the target equipment is equipment belonging to an electric bag dust collector system;
acquiring video data of the target equipment in the operation process, and determining a second operation state and second operation data of the target equipment based on the video data;
determining a pre-constructed expression form of a dynamic element corresponding to the target equipment based on the first running state;
displaying the dynamic element in the representation form, the first operation state, the first operation data, and a pre-constructed picture model and a pre-constructed graphic object corresponding to the target device in a monitoring interface;
and if the first operation state is different from the second operation state and/or if the first operation data is different from the second operation data, generating an alarm signal.
Preferably, the method further comprises the following steps:
and storing the fault data in the first operation data into an alarm special library, and storing the specified data in the first operation data into a historical data special library.
Preferably, the method further comprises the following steps:
storing the fault data in the alarm special database into an SQL database, and storing the specified data in the historical data special database into the SQL database.
Based on the above-mentioned visual intelligent monitoring device and data processing method provided by the embodiment of the invention, the method is as follows: acquiring a first operation state and first operation data of target equipment; acquiring video data of target equipment in the operation process, and determining a second operation state and second operation data of the target equipment based on the video data; determining the expression form of a dynamic element corresponding to the target equipment which is constructed in advance based on the first running state; displaying dynamic elements in a representation form, a first operation state, first operation data, a picture model and a graphic object corresponding to a target device which are constructed in advance in a monitoring interface; if the first operating state is different from the second operating state, and/or if the first operating data is different from the second operating data, generating an alarm signal. According to the scheme, through dynamic elements, picture models and graphic objects, the first operation state and the first operation data of each target device in the electric bag dust collector system are combined, each target device and related data thereof are displayed in a visual mode, whether an alarm signal is generated or not is determined by combining video data, and the operation state of the electric bag dust collector system is remotely monitored in a monitoring interface. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a block diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention;
fig. 3 is another schematic structural diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention;
fig. 4 is a flowchart of a data processing method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Known from the background art, in order to ensure the safe and stable operation of the electric bag dust collector system, the operation state of the electric bag dust collector system needs to be monitored, but at present, a worker needs to go to an equipment site for monitoring, so that the mode consumes larger manpower and material resources, the monitoring cost is higher, and the monitoring effect is poorer.
Therefore, the embodiment of the invention provides a visual intelligent monitoring device and a data processing method, which are used for displaying each target device and related data thereof in a visual mode by combining dynamic elements, picture models and graphic objects with the collected first running state and first running data of each target device in an electric bag dust collector system, determining whether to generate an alarm signal by combining video data, and remotely monitoring the running state of the electric bag dust collector system in a monitoring interface. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
Referring to fig. 1, a block diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention is shown, where the visual intelligent monitoring apparatus includes: controller 100, visualization system 200, and monitoring system 300.
The controller 100 is configured to obtain a first operation state and first operation data of a target device, where the target device is any device belonging to the electric bag dust collector system.
It should be noted that the electric bag dust collector system includes a frequency converter, a driving device, a protection device, a comprehensive protection instrument, a hydraulic tensioning device, a high-voltage device, a rapping device and other devices, and the target device is the device in the electric bag dust collector system.
In some embodiments, the controller 100 obtains the first operation state and the first operation data of the target device through a hard wire or a computer communication line according to a preset communication protocol.
It should be noted that the acquired first operating state and first operating data of the target device are data processed by the controller 100 according to actual requirements.
In some embodiments, Controller 100 may be a Programmable Logic Controller (PLC) control cabinet and a remote I/O station.
The visualization system 200 is configured to collect video data of the target device during an operation process, and determine a second operation state and second operation data of the target device based on the video data.
It will be appreciated that the target device is operating in the device operating site, and in some embodiments, the visualization system 200 captures video data of the target device during operation in the device operating site and determines a second operating state and second operating data of the target device using the captured video data.
It should be noted that the visualization system 200 is at least composed of a camera, a three-dimensional space imaging technology, a transmission protocol (for example, CAN transmission protocol), and video processing software.
In some embodiments, the visualization system 200 is specifically configured to: the method comprises the steps of acquiring video data of target equipment in the operation process (namely a field operation picture of the target equipment in an equipment operation field) by using a camera, processing the video data by using a three-dimensional space imaging technology and a video processing technology, forming the video data into three-dimensional data, and obtaining a second operation state and second operation data of the corresponding target equipment.
Specifically, the visualization system 200 acquires video data of the target device in the operation process by using a camera, acquires the video data acquired by the camera through the CAN transmission protocol, and processes the video data by using a three-dimensional space imaging technology and a video processing technology to acquire a second operation state and second operation data of the corresponding target device.
The monitoring system 300 is used for pre-constructing dynamic elements, picture models and graphic objects corresponding to the target equipment; determining a representation form of the dynamic element based on the first operation state; displaying dynamic elements in the representation form, and displaying a first operation state, first operation data, a picture model and a graphic object in a monitoring interface; if the first operating state is different from the second operating state, and/or if the first operating data is different from the second operating data, generating an alarm signal.
It should be noted that the monitoring system 300 is at least composed of a communication driver library, a variable special library, a special device library, an operation panel library, a graphic library, an alarm special library, a history data special library, an alarm control, and a history control.
In some embodiments, the monitoring system 300 pre-constructs dynamic elements corresponding to each device (including a target device) of the electrical bag dust collector system by using a configuration software object control technology, and establishes a corresponding dedicated device library based on the constructed dynamic elements; the monitoring system 300 establishes a corresponding panel by using an operation panel library and a windows bitmap technology, and establishes a picture model corresponding to each device (including a target device) of the electric bag dust collector system in the panel; in the process of constructing the graph library, the monitoring system 300 constructs a graph object corresponding to each device (including the target device) of the electric bag dust collector system in an object form, and gives various colors to the graph object of the target device to represent the specific state of the target device.
It should be noted that the communication driver library of the monitoring system 300 at least includes communication protocols such as Modbus RTU, Modbus TCP/IP, S7 TCP/IP, and Can Open, and in the process of constructing the communication driver library, communication protocols of each device of the electric bag dust collector system are analyzed one by one, and the analyzed communication protocols are packaged into the communication driver library through configuration software.
In some embodiments, the monitoring system 300 obtains the first operation status and the first operation data of the target device from the controller 100 by using the communication protocol in the communication driver library.
In some embodiments, the monitoring system 300 determines the representation of the dynamic element based on the first operating state, for example, for operating states of the motor such as on, off, and fault, the representation of the corresponding dynamic element of the motor is represented by red, green, and yellow, respectively. And displaying the dynamic element corresponding to the target equipment in the determined expression form, and displaying the first running state, the first running data, the picture model and the graphic object of the target equipment in the monitoring interface. The monitoring system 300 compares the first operating state and the second operating state of the target device, and compares the first operating data and the second operating data of the target device; when the first operating state is different from the second operating state and/or when the first operating data is different from the second operating data, the monitoring system 300 generates an alarm signal and gives an alarm, so that a worker can review the fault condition according to the alarm signal.
For example: assuming that the secondary current signal of the high-voltage device (i.e., the target apparatus) collected by the controller 100 is 530mA (i.e., the first operation data), and the secondary current signal of the high-voltage device (i.e., the target apparatus) collected by the visualization system 200 is 560mA (i.e., the second operation data), at this time, the first operation data and the second operation data are different, the monitoring system 300 generates an alarm signal for indicating that the secondary current signal of the high-voltage device is abnormal.
In some embodiments, the monitoring system 300 is further configured to: establishing a tag corresponding to first operation data and a first operation state in the form of an individual tag or a tag group and the like by using a variable special library under a channel of a communication drive library; linking the label corresponding to the first running state with the dynamic element, namely linking the label established in the variable special library to the special equipment library; linking the labels corresponding to the first operation data and the first operation state with the picture model, namely linking the labels established in the variable special library to the picture model corresponding to each device of the electric bag dust collector system; the first operation data and the first operation state are in one-to-one correspondence through the forms of shapes, information labels, buttons and the like, and the labels corresponding to the first operation data and the first operation state are linked with the graphic objects, namely, the labels established in the variable special library are linked to the forms of the shapes, the information labels, the buttons and the like.
It is understood that the monitoring system 300 can store and archive data related to each device in the bag dust collector system. Specifically, in some embodiments, monitoring system 300 is further configured to: the fault data in the first operation data is stored in an alarm special library, and the specified data (such as current, voltage, frequency and the like) in the first operation data is stored in a historical data special library.
As described above, the monitoring system stores the failure data of the target device in the alarm dedicated library, and stores the designation data of the target device in the history data dedicated library. To ensure long-term big data storage, in some embodiments, the monitoring system 300 is further configured to: and storing fault data in the alarm special database into the SQL database, storing specified data in the historical data special database into the SQL database, and storing the fault data and the specified data for a long time through the SQL database.
It can be understood that, when the monitoring system 300 displays the first operation data of the target device in the monitoring interface, the fault data of the target device is extracted from the SQL database through the alarm control, the extracted fault data is displayed in the monitoring interface, and the specified data of the target device is extracted from the SQL database through the historical data control, and the extracted specified data is displayed in the monitoring interface.
It will be appreciated that, when fault data is presented in the monitoring interface, fault data for the target device may be presented in the monitoring interface in a form such as a table (by way of example only); in presenting the specified data in the monitoring interface, the specified data for the target device may be presented in the monitoring interface in a form such as a trend graph (by way of example only).
By means of the above embodiments, the monitoring system 300 displays the dynamic elements, the first running state, the first running data, the picture model and the graphic objects corresponding to each device of the electric bag dust collector system in the monitoring picture of the configuration software platform, so as to remotely monitor the running state of each device of the electric bag dust collector system.
In the embodiment of the invention, dynamic elements, picture models and graphic objects corresponding to each device of the electric bag dust collector system are pre-constructed, the first operation state and the first operation data of each target device in the electric bag dust collector system are combined, each target device and related data thereof are displayed in a visual mode, an alarm signal is determined through video data, the operation state of the electric bag dust collector system is remotely monitored in a monitoring interface, and whether the alarm signal of the target device is generated or not is determined through the video data of the acquired target device in the operation process, so that the stable operation of the target device is further ensured. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
To better explain the specific working of the controller 100, the visualization system 200 and the monitoring system 300 mentioned in fig. 1, the descriptions are provided by the contents shown in fig. 2 and fig. 3, respectively, and it should be noted that fig. 2 and fig. 3 are only used for illustration.
Referring to fig. 2, a schematic structural diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention is shown, in fig. 2, a bottom controller is the controller 100 mentioned in fig. 1, and the bottom controller, the visual system, and the monitoring system form the visual intelligent monitoring apparatus.
It can be understood that, in fig. 2, the underlying controller acquires and stores the first operating state and the first operating data corresponding to each device in the bag dust collector system through a hard wire or a computer communication line.
The visualization system acquires video data of each device in the electric bag dust collector system in the operation process through the camera, and processes the video data through a three-dimensional space imaging technology and a video processing technology to obtain a second operation state and second operation data corresponding to each device in the electric bag dust collector system.
The monitoring system utilizes communication protocols such as Modbus RTU, Modbus TCP/IP, S7 TCP/IP and Can Open to obtain a first operation state and first operation data corresponding to each device in the electric bag dust collector system from the bottom layer controller, displays a dynamic element, a first operation state, first operation data, a picture model and a picture object corresponding to each device in a monitoring interface based on the first operation state and the first operation data corresponding to each device in the electric bag dust collector system, compares the first operation data with the second operation data, compares the first operation state with the second operation state, and determines whether to generate an alarm signal according to a comparison result.
Referring to fig. 3, another schematic architecture diagram of a visual intelligent monitoring apparatus according to an embodiment of the present invention is shown, in fig. 3, a bottom controller, a visual system and a monitoring system form the visual intelligent monitoring apparatus, wherein a camera, a three-dimensional space imaging technology and video processing software form the visual system, and a communication driver library, a variable special library, a special device library, an operation panel library, a graph library, an alarm special library, a historical data special library, an SQL database, an alarm control and a historical control form the monitoring system.
It can be understood that, in fig. 3, the underlying controller acquires and stores the first operating state and the first operating data corresponding to each device in the bag dust collector system through a hard wire or a computer communication line.
The monitoring system obtains a first operation state and first operation data corresponding to each device in the bag dust collector system from the bottom layer controller through each communication protocol in the communication drive library.
The monitoring system establishes a first operation state of each device in the electric bag dust collector system and a label corresponding to first operation data in the form of an individual label, a label group or a data structure and the like through a variable special library.
The monitoring system utilizes a special equipment library and adopts a configuration software object control technology to construct dynamic elements corresponding to each equipment in the electric bag dust collector system, and links a label corresponding to a first running state of the equipment and the dynamic elements of the equipment aiming at each equipment (namely target equipment) in the electric bag dust collector system.
The monitoring system establishes a corresponding panel based on an operation panel library and in combination with a windows bitmap technology, establishes a picture model corresponding to each device in the electric bag dust collector system in the panel, and links first operation data of the device and a label corresponding to a first operation state with the picture model of the device aiming at each device (namely target device) in the electric bag dust collector system.
The monitoring system utilizes the graphic library to construct a graphic object corresponding to each device in the electric bag dust collector system, and links the first operation data of the device and the label corresponding to the first operation state with the graphic object of the device aiming at each device (namely target device) in the electric bag dust collector system.
The monitoring system stores fault data in the first operation data of each device in the electric bag dust collector system into the special alarm database, and stores specified data in the first operation data of each device into the special historical data database.
And the monitoring system stores the fault data in the alarm special database and the specified data in the historical data special database into the SQL database.
The monitoring system utilizes the alarm control to extract fault data of each device in the bag dust collector system from the SQL database, displays the extracted fault data in the monitoring interface, extracts specified data of each device in the bag dust collector system from the SQL database through the historical data control, and displays the extracted specified data in the monitoring interface.
For each device in the electric bag dust collector system, the monitoring system acquires second operation data and a second operation state of the device from the visualization system, compares the first operation data and the second operation data of the device, compares the first operation state and the second operation state of the device, and determines whether to generate an alarm signal corresponding to the device according to the comparison result (the step here is a data comparison step between the visualization system and the monitoring system in fig. 3).
Corresponding to the above-mentioned visual intelligent monitoring device provided in the embodiment of the present invention, referring to fig. 4, an embodiment of the present invention further provides a flowchart of a data processing method, where the data processing method is applied to the visual intelligent monitoring device provided in the above-mentioned embodiment of the present invention, and the data processing method includes:
step S401: a first operating state and first operating data of a target device are obtained.
It should be noted that the target equipment is equipment belonging to an electric bag dust collector system.
In the process of implementing step S401 specifically, a first operation state and first operation data of the target device are acquired through a preset communication protocol.
Step S402: and acquiring video data of the target equipment in the operation process, and determining a second operation state and second operation data of the target equipment based on the video data.
In the specific implementation process of step S402, the camera is used to acquire video data of the target device during the operation process, and the three-dimensional space imaging technology and the video processing technology are used to process the video data, so as to obtain a second operation state and second operation data of the target device.
Step S403: and determining the expression form of the dynamic element corresponding to the target equipment which is constructed in advance based on the first running state.
It should be noted that the dynamic element, the picture model, and the graphic object corresponding to the target device are pre-constructed.
In the process of implementing step S403 specifically, based on the first operating state of the target device, the expression form of the dynamic element corresponding to the target device is determined.
Preferably, for the first operation data and the first operation state of the target device, a label corresponding to the first operation data and the first operation state is established; and linking the label corresponding to the first running state with the dynamic element, linking the first running data and the label corresponding to the first running state with the picture model, and linking the first running data and the label corresponding to the first running state with the graphic object.
Preferably, the fault data in the first operation data of the target device is stored in an alarm dedicated library, and the specified data in the first operation data of the target device is stored in a history data dedicated library. And storing the fault data in the alarm special database into an SQL database, and storing the specified data in the historical data special database into the SQL database.
Step S404: and displaying the dynamic elements, the first operation state, the first operation data, and the pre-constructed picture model and the graphic object corresponding to the target equipment in an expression form in the monitoring interface.
As can be seen from the content of step S403, the expression form of the dynamic element corresponding to the target device is determined based on the first operating state of the target device. In the specific step S404, in the monitoring interface, the dynamic element of the target device is displayed in the determined representation form, and the first operating state, the first operating data, the picture model, and the graphic object corresponding to the target device are displayed.
In specific implementation, fault data and specified data corresponding to the target device are extracted from the SQL database, and the fault data and the specified data are respectively displayed in the monitoring interface.
Step S405: if the first operating state is different from the second operating state, and/or if the first operating data is different from the second operating data, generating an alarm signal.
In the process of implementing step S405 specifically, the first operation data and the second operation data of the target device are compared, and the first operation state and the second operation state of the target device are compared.
If the first operation state and the second operation state of the target device are different, and/or if the first operation data and the second operation data of the target device are different, generating an alarm signal corresponding to the target device and giving an alarm, so that a worker can perform fault recheck according to the alarm signal. And comparing the acquired first operation data and the first operation state of the target equipment with the video data (used for determining the second operation data and the second operation state) of the target equipment, and further accurately judging the actual condition of the target equipment in field operation and finding a fault in time.
In the embodiment of the invention, dynamic elements, picture models and graphic objects corresponding to each device of the electric bag dust collector system are pre-constructed, the first operation state and the first operation data of each target device in the electric bag dust collector system are combined, each target device and related data thereof are displayed in a visual mode, an alarm signal is determined through video data, the operation state of the electric bag dust collector system is remotely monitored in a monitoring interface, and whether the alarm signal of the target device is generated or not is determined through the video data of the acquired target device in the operation process, so that the stable operation of the target device is further ensured. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
In summary, embodiments of the present invention provide a visual intelligent monitoring apparatus and a data processing method, which visually display each target device and related data thereof by combining the collected first operating state and first operating data of each target device in an electric bag dust collector system through dynamic elements, picture models and graphic objects, and determine an alarm signal through video data, so as to remotely monitor the operating state of the electric bag dust collector system in a monitoring interface. The monitoring can be carried out without the need of workers to go to the site of the equipment, so that the monitoring cost is reduced and the monitoring effect is improved.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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 invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A visual intelligent monitoring apparatus, the apparatus comprising: the system comprises a controller, a monitoring system and a visualization system;
the controller is used for acquiring a first operation state and first operation data of target equipment, and the target equipment is equipment belonging to the electric bag dust collector system;
the visualization system is used for acquiring video data of the target equipment in the operation process and determining a second operation state and second operation data of the target equipment based on the video data;
the monitoring system is used for pre-constructing dynamic elements, picture models and graphic objects corresponding to the target equipment; determining a representation of the dynamic element based on the first operating state; displaying the dynamic element in the representation form and displaying the first operation state, the first operation data, the picture model and the graphic object in a monitoring interface; and if the first operation state is different from the second operation state and/or if the first operation data is different from the second operation data, generating an alarm signal.
2. The apparatus of claim 1, wherein the monitoring system is further configured to: establishing a label corresponding to the first operation data and the first operation state; and linking the label corresponding to the first running state with the dynamic element, linking the first running data and the label corresponding to the first running state with the picture model, and linking the first running data and the label corresponding to the first running state with the graphic object.
3. The apparatus of claim 1, wherein the monitoring system is further configured to: and storing the fault data in the first operation data into an alarm special library, and storing the specified data in the first operation data into a historical data special library.
4. The apparatus of claim 3, wherein the monitoring system is further configured to: storing the fault data in the alarm special database into an SQL database, and storing the specified data in the historical data special database into the SQL database.
5. The apparatus according to claim 4, wherein the monitoring system configured to present the first operational data in a monitoring interface is specifically configured to:
and extracting the fault data and the specified data from the SQL database, and respectively displaying the fault data and the specified data in the monitoring interface.
6. The apparatus of claim 1, wherein the controller is specifically configured to: and acquiring a first operation state and first operation data of the target equipment through a preset communication protocol.
7. The apparatus according to claim 1, wherein the visualization system is specifically configured to: and acquiring video data of the target equipment in the operation process by using a camera, and processing the video data by using a three-dimensional space imaging technology and a video processing technology to obtain a second operation state and second operation data of the target equipment.
8. A data processing method applied to the visual intelligent monitoring device of any one of the above claims 1 to 7, the method comprising:
acquiring a first operation state and first operation data of target equipment, wherein the target equipment is equipment belonging to an electric bag dust collector system;
acquiring video data of the target equipment in the operation process, and determining a second operation state and second operation data of the target equipment based on the video data;
determining a pre-constructed expression form of a dynamic element corresponding to the target equipment based on the first running state;
displaying the dynamic element in the representation form, the first operation state, the first operation data, and a pre-constructed picture model and a pre-constructed graphic object corresponding to the target device in a monitoring interface;
and if the first operation state is different from the second operation state and/or if the first operation data is different from the second operation data, generating an alarm signal.
9. The method of claim 8, further comprising:
and storing the fault data in the first operation data into an alarm special library, and storing the specified data in the first operation data into a historical data special library.
10. The method of claim 9, further comprising:
storing the fault data in the alarm special database into an SQL database, and storing the specified data in the historical data special database into the SQL database.
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