CN110806717A - Centralized control console of mining communication control system and mining communication control system - Google Patents
Centralized control console of mining communication control system and mining communication control system Download PDFInfo
- Publication number
- CN110806717A CN110806717A CN201911150109.2A CN201911150109A CN110806717A CN 110806717 A CN110806717 A CN 110806717A CN 201911150109 A CN201911150109 A CN 201911150109A CN 110806717 A CN110806717 A CN 110806717A
- Authority
- CN
- China
- Prior art keywords
- module
- mine
- control system
- communication control
- speed regulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004891 communication Methods 0.000 title claims abstract description 48
- 238000005065 mining Methods 0.000 title claims abstract description 37
- 239000003245 coal Substances 0.000 claims abstract description 15
- 239000000463 material Substances 0.000 claims abstract description 8
- 230000006855 networking Effects 0.000 claims abstract description 5
- 230000001105 regulatory effect Effects 0.000 claims abstract description 4
- 238000013527 convolutional neural network Methods 0.000 claims description 17
- 230000004913 activation Effects 0.000 claims description 14
- 230000006870 function Effects 0.000 claims description 14
- 238000011176 pooling Methods 0.000 claims description 14
- 238000012549 training Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 5
- 239000004973 liquid crystal related substance Substances 0.000 description 5
- 210000002569 neuron Anatomy 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Images
Classifications
-
- 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
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/054—Input/output
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/10—Plc systems
- G05B2219/11—Plc I-O input output
- G05B2219/1103—Special, intelligent I-O processor, also plc can only access via processor
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The disclosure provides a centralized control console of a mining communication control system and the mining communication control system. The centralized control console of the mining communication control system comprises a stand-alone control module and a distributed control module which are communicated with each other; the single-machine control module is respectively connected with the display module and the intelligent speed regulation module; the single machine control module is used for receiving the mine three-dimensional image and outputting mine fault alarm information to the display module to be displayed according to the mine fault model; the intelligent speed regulation module comprises a material level sensor and a speed regulation controller, wherein the material level sensor is used for detecting the belt coal flow and transmitting the belt coal flow to the speed regulation controller, and the speed regulation controller is used for adaptively regulating the frequency of a frequency converter connected with the intelligent speed regulation module according to the size of the belt coal flow; the distributed control module is connected with a plurality of controlled devices through a switch networking to realize the distributed control of the controlled devices.
Description
Technical Field
The disclosure belongs to the field of mining communication, and particularly relates to a centralized control console of a mining communication control system and the mining communication control system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The mining communication system is one of six major systems of a coal mine, plays a significant role in coal production, and realizes communication and contact functions by sending and receiving communication signals in various links such as production, scheduling, management, rescue and the like.
The inventor finds that the existing mining communication control system mainly takes centralized control as a main part, most control contacts in the whole system are centralized on one or a few devices, so that the problems of small control range and overlong wiring are caused, and when a local certain point in the system gives an alarm, the whole system can only be shut down, so that the whole mining communication control system is inconvenient to install and use, complicated in control connection and low in working efficiency; the existing mine communication control system has the problems of single function, low control capacity and incapability of remote control, the screen of the existing mine communication control system is only 10.1 inches, the function is simple, only simple pictures and characters can be displayed, and the states of equipment in the system and on-site video pictures cannot be dynamically displayed in real time.
Disclosure of Invention
In order to solve the problems, the present disclosure provides a centralized control console of a mining communication control system and a method thereof, which adopt a modular design and distributed control, improve the replaceability and installation and use convenience of the centralized control console of the mining communication control system, and improve the operability and working efficiency of the centralized control console of the mining communication control system; by the added distributed control, the control capacity is expanded, and the flexibility of control use is improved.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
a first aspect of the disclosure provides a centralized control console of a mining communication control system.
A centralized control console of a mining communication control system, comprising:
the stand-alone control module and the distributed control module are communicated with each other; the single-machine control module is respectively connected with the display module and the intelligent speed regulation module; the single machine control module is used for receiving the mine three-dimensional image and outputting mine fault alarm information to the display module to be displayed according to the mine fault model; the intelligent speed regulation module comprises a material level sensor and a speed regulation controller, wherein the material level sensor is used for detecting the belt coal flow and transmitting the belt coal flow to the speed regulation controller, and the speed regulation controller is used for adaptively regulating the frequency of a frequency converter connected with the intelligent speed regulation module according to the size of the belt coal flow; the distributed control module is connected with a plurality of controlled devices through a switch networking to realize the distributed control of the controlled devices.
Further, the mine fault model is composed of a three-dimensional convolution neural network comprising a convolution layer, an activation layer, a pooling layer, a full-link layer and an output layer.
Further, the training process of the mine fault model comprises the following steps:
performing weighted summation convolution operation on the mine historical three-dimensional image with the marked fault type by using a preset three-dimensional convolution layer to extract primary features of the image to obtain a primary feature map;
adding a non-linear feature to the primary feature map through the activation layer;
reducing the dimension size of the primary feature map of the added nonlinear features through a pooling layer;
extracting high-level features from the primary feature map processed by the pooling layer through the full-connection layer;
and converting the high-level features into activation probability through a Softmax classifier in an output layer to obtain the output of the three-dimensional convolutional neural network, and judging whether the training of the mine fault model is finished or not according to the comparison of the output precision of the three-dimensional convolutional neural network and the preset precision.
A second aspect of the disclosure provides a mining communication control system.
A mining communication control system comprises the centralized control console of the mining communication control system.
The beneficial effects of this disclosure are:
(1) the centralized control console of the mining communication control system adopts a modular design, improves the replaceability of the centralized control console of the mining communication control system, facilitates after-sales maintenance, and improves the working efficiency of the centralized control console of the mining communication control system.
(2) The mine fault model disclosed by the invention adopts a three-dimensional convolution neural network form, so that the characteristics of a three-dimensional image are extracted and identified, the three-dimensional convolution neural network is directly convoluted on the three-dimensional image, the three-dimensional space characteristics of the image are extracted, the characteristic mode of the three-dimensional image can be effectively expressed, the accuracy of the mine fault type is improved, and the safety of a mine is guaranteed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a schematic structural diagram of a centralized control console of a mining communication control system according to an embodiment of the disclosure.
Fig. 2 is a schematic circuit diagram of a centralized console of a mining communication control system according to an embodiment of the disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only relational terms determined for convenience in describing structural relationships of the parts or elements of the present disclosure, and do not refer to any parts or elements of the present disclosure, and are not to be construed as limiting the present disclosure.
In the present disclosure, terms such as "fixedly connected", "connected", and the like are to be understood in a broad sense, and mean either a fixed connection or an integrally connected or detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present disclosure can be determined on a case-by-case basis by persons skilled in the relevant art or technicians, and are not to be construed as limitations of the present disclosure.
As shown in fig. 1, the centralized control console of the mining communication control system of this embodiment includes:
the stand-alone control module and the distributed control module are communicated with each other; the single-machine control module is respectively connected with the display module and the intelligent speed regulation module; the single machine control module is used for receiving the mine three-dimensional image and outputting mine fault alarm information to the display module to be displayed according to the mine fault model; the intelligent speed regulation module comprises a material level sensor and a speed regulation controller, wherein the material level sensor is used for detecting the belt coal flow and transmitting the belt coal flow to the speed regulation controller, and the speed regulation controller is used for adaptively regulating the frequency of a frequency converter connected with the intelligent speed regulation module according to the size of the belt coal flow; the distributed control module is connected with a plurality of controlled devices through a switch networking to realize the distributed control of the controlled devices.
In one embodiment, the mine fault model is comprised of a three-dimensional convolutional neural network including convolutional layers, activation layers, pooling layers, fully-connected layers, and output layers.
In specific implementation, the training process of the mine fault model is as follows:
performing weighted summation convolution operation on the mine historical three-dimensional image with the marked fault type by using a preset three-dimensional convolution layer to extract primary features of the image to obtain a primary feature map;
adding a non-linear feature to the primary feature map through the activation layer;
reducing the dimension size of the primary feature map of the added nonlinear features through a pooling layer;
extracting high-level features from the primary feature map processed by the pooling layer through the full-connection layer;
and converting the high-level features into activation probability through a Softmax classifier in an output layer to obtain the output of the three-dimensional convolutional neural network, and judging whether the training of the mine fault model is finished or not according to the comparison of the output precision of the three-dimensional convolutional neural network and the preset precision.
The embodiment constructs a three-dimensional convolutional neural network model and a corresponding training method, which are different from the conventional two-dimensional convolutional neural network method, and when a three-dimensional image is identified, certain one-dimensional information in three dimensions needs to be averaged or divided into a plurality of channels, so that three-dimensional features cannot be effectively extracted; when constructing a complete three-dimensional convolution neural network, firstly carrying out convolution operation on a three-dimensional image through a convolution layer; then, the convolution result passes through an activation layer, and nonlinear characteristics are added; the result obtained by the upper layer in the three-dimensional convolution neural network passes through the maximum pooling layer, so that the operation amount is reduced, and the operation efficiency is improved.
In another embodiment, the stand-alone control module is further connected with the video acquisition module, the SIP audio call module and the analog audio call module respectively; the video acquisition module is used for acquiring video information in a mine and transmitting the video information to the single-machine control module; the SIP audio call module is used for realizing dialing network call and audio play; the analog audio call module is used for realizing the analog audio call function along the line.
In specific implementation, the single-machine control module is further used for receiving mine video information sent by the video acquisition module, further judging whether an object intrudes into the demarcated area, if so, triggering an out-of-range alarm, immediately and distributively controlling corresponding equipment to stop running, and calling out and displaying images when the out-of-range occurs.
The single-machine control module of the embodiment judges whether an object breaks into a demarcated area according to mine video information, and improves the safety of a mine.
As an optional embodiment, the method for determining whether an object intrudes into the delimited area may be implemented by a deep convolutional neural network model, and the specific process is as follows:
acquiring a plurality of frames of mine video images into which marked objects are inserted to form a training set and a test set;
training the preset deep convolutional neural network model by using a training set, and testing by using a test set until the precision of the output of the preset deep convolutional neural network model meets the preset requirement, thereby completing the training of the deep convolutional neural network model;
and judging whether the input mine video image enters the demarcated area or not by using the trained deep convolution neural network model.
It should be noted that the deep convolutional neural network model is composed of an input layer, a convolutional layer, an activation function, a pooling layer, a full-link layer, and an output layer.
An input layer: the deep convolutional network can directly take the picture as the input of the network, and extract features through training, but in order to obtain better effect, the picture usually needs to be preprocessed, and in addition, in the case of insufficient samples, sample enhancement processing, including rotation, translation, shearing, noise increase, color transformation, and the like, may be required.
And (3) rolling layers: the convolution operation essentially represents the input in another way, and if the convolutional layer is considered as a black box, the output can be considered as another representation of the input, and the training of the whole network is to train the intermediate parameters required for the representation.
It is necessary to add an activation function to the convolutional layer to make the operation nonlinear. The deep convolutional network connects small neural networks in series to form a deep neural network, and two special processing modes are mainly adopted:
1) local receptive fields were used: the neuron is connected with the upper layer neuron adjacent to the neuron, and the final global feature is formed by combining the learned local features.
2) Weight sharing is adopted: when the same convolution kernel operates different local receptive fields, the same weight parameter is adopted, and the parameter calculation amount required in the network operation process can be reduced. Different characteristics of the picture are obtained through the convolution kernels of each layer, specific positions of the characteristics in the picture do not need to be considered specially, and the processing mode has remarkable advantages in the tasks of analyzing and processing the picture.
A pooling layer: the method is a special processing operation for data in a convolutional neural network, reduces the characteristic size of a picture through pooling processing, and can effectively solve the problem of large calculation amount caused by taking the result of the previous layer as input.
Activation function: the convolution operation and the pooling operation in the network are linear operations, while a large number of samples in life are not in a linear relation when being classified, so that a nonlinear element needs to be introduced into the network so that the network can solve the nonlinear problem. A common activation function is the Relu function.
Full connection layer: the layer is the layer with the most consumed parameters in the network, if the input of the fully connected layer is 4 x 100 and the output of the fully connected layer is 512, the layer needs 4 x 100 x 512 parameters; in a typical convolutional layer, if the convolution kernel is 4 × 4 and the output is 512, then only 4 × 512 parameters are needed.
The number of the weights of the deep convolutional neural network is reduced more than that of a conventional neural network, the reduction of the number of the weights means that the complexity of a model becomes simpler, the model is not easy to over-fit, and finally the accuracy and the speed of image recognition are improved.
In another embodiment, the stand-alone control module comprises a core control module, and the core control module is connected with the FLASH chip.
The core control module is respectively connected with the detection board, the IO board, the input board, the communication board and the coupling board through a CAN bus.
As an implementation mode, the SIP audio call module comprises an aboveground dispatching center, the aboveground dispatching center is connected with a PLC controller, the PLC controller is respectively connected with a broadcasting system and a multimedia terminal, and an SIP call module is arranged in the multimedia terminal.
Specifically, the analog audio call module has a two-way along-line voice call function. The line telephone connected with KTC118 and KTC2 realizes the function of simulating audio call along the line through a push-to-talk, a calling, a microphone component, a seal and a loudspeaker.
In specific implementation, as shown in fig. 2, the single machine control module of this embodiment implements the original KTC118 system function, and is composed of a core control module, an intrinsically safe keyboard panel, an intrinsically safe keyboard mouse, a liquid crystal touch panel, a liquid crystal display, a detection panel, a coupling panel, an IO panel, a pure input module, a communication module, a new input/output module, a conversion panel, and a wiring board, and CAN connect two lines, each line CAN connect at least 25 phones, and control and state acquisition and display of devices along the line are implemented through a CAN bus. The display function is displayed by a 19-inch liquid crystal screen. The operation is performed by a 3 x 10 intrinsically safe keyboard.
The core control module adopts LPC1768 as a CPU to communicate with an industrial personal computer through a serial port 0, and information interaction is realized; the parameters are stored in the FLASH chip 45DB161E through the SPI; information interaction is carried out through a detection board, an IO board, a pure input board, a communication board and a coupling board on the CAN and the centralized control platform; controlling the LED to flicker through IO output, and inputting and receiving operation information fed back by KEY (keyboard) through RS 232; and the motor temperature data is acquired through the communication between the 485 and the temperature polling device.
As shown in fig. 2, the distributed control module of this embodiment is composed of an industrial personal computer, a liquid crystal display, a keyboard, a liquid crystal touch pad, an external keyboard and mouse, and an 1000/100M switch (100/10M switch). The centralized control of the coal mine fully-mechanized mining, fully-mechanized excavation and transportation system is realized by networking the switches, controlling the slave centralized control console, the PLC and the KTC118, controlling the KTC2 through the RS485 and controlling the subordinate controlled equipment.
The display module and the video acquisition module (such as a video camera) of the embodiment are connected to the same Ethernet, and data intercommunication is realized through an 1000/100M Ethernet switch, so that at most 24 paths of video display are realized. Single-click of any picture is supported to be amplified in a full screen mode; when the alarm is given under the control interface, a popup 1/4 screen can display an alarm video picture, and an alarm picture is reserved as a record of alarm information.
In specific implementation, the centralized control console of the mining communication control system further comprises a power supply module, and the power supply module comprises a power supply detection circuit for inputting alternating current 127V. Outputting 1-channel 12V of Feian; the safety system comprises 18V for 2 paths of intrinsic safety, 12V for 4 paths of intrinsic safety and 6V for 1 path of intrinsic safety. The power supply module comprises a transformer, a safety circuit, an EMC filter circuit, a 12V/150W switching power supply, an 18V intrinsic safety power supply, a 12V intrinsic safety power supply and a 6V intrinsic safety power supply. The corresponding circuits are powered by 8 power supplies as shown in fig. 2.
The embodiment also provides a mining communication control system, which comprises the centralized control console of the mining communication control system.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (8)
1. A centralized control console of a mining communication control system is characterized by comprising:
the stand-alone control module and the distributed control module are communicated with each other; the single-machine control module is respectively connected with the display module and the intelligent speed regulation module; the single machine control module is used for receiving the mine three-dimensional image and outputting mine fault alarm information to the display module to be displayed according to the mine fault model; the intelligent speed regulation module comprises a material level sensor and a speed regulation controller, wherein the material level sensor is used for detecting the belt coal flow and transmitting the belt coal flow to the speed regulation controller, and the speed regulation controller is used for adaptively regulating the frequency of a frequency converter connected with the intelligent speed regulation module according to the size of the belt coal flow; the distributed control module is connected with a plurality of controlled devices through a switch networking to realize the distributed control of the controlled devices.
2. The console of a mine communication control system of claim 1, wherein the mine fault model is comprised of a three-dimensional convolutional neural network comprising convolutional layers, activation layers, pooling layers, fully-connected layers, and output layers.
3. The centralized console of a mine communication control system of claim 2, wherein the training process of the mine fault model is:
performing weighted summation convolution operation on the mine historical three-dimensional image with the marked fault type by using a preset three-dimensional convolution layer to extract primary features of the image to obtain a primary feature map;
adding a non-linear feature to the primary feature map through the activation layer;
reducing the dimension size of the primary feature map of the added nonlinear features through a pooling layer;
extracting high-level features from the primary feature map processed by the pooling layer through the full-connection layer;
and converting the high-level features into activation probability through a Softmax classifier in an output layer to obtain the output of the three-dimensional convolutional neural network, and judging whether the training of the mine fault model is finished or not according to the comparison of the output precision of the three-dimensional convolutional neural network and the preset precision.
4. The centralized control console of a mine communication control system as claimed in claim 1, wherein the stand-alone control module is further connected with a video acquisition module, an SIP audio call module and an analog audio call module respectively; the video acquisition module is used for acquiring video information in a mine and transmitting the video information to the single-machine control module; the SIP audio call module is used for realizing dialing network call and audio play; the analog audio call module is used for realizing the analog audio call function along the line.
5. The centralized console of a mining communication control system of claim 1, wherein the stand-alone control module comprises a core control module, and the core control module is connected with a FLASH chip.
6. The centralized control console of a mining communication control system as claimed in claim 5, wherein the core control module is connected to the detection board, the IO board, the input board, the communication board and the coupling board through a CAN bus, respectively.
7. The centralized control console of the mining communication control system of claim 1, wherein the SIP audio call module comprises an aboveground dispatch center, the aboveground dispatch center is connected with a PLC controller, the PLC controller is respectively connected with a broadcasting system and a multimedia terminal, and an SIP call module is disposed inside the multimedia terminal.
8. A mining communication control system, characterised by a central control station of the mining communication control system according to any of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911150109.2A CN110806717B (en) | 2019-11-21 | 2019-11-21 | Centralized control console of mining communication control system and mining communication control system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911150109.2A CN110806717B (en) | 2019-11-21 | 2019-11-21 | Centralized control console of mining communication control system and mining communication control system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110806717A true CN110806717A (en) | 2020-02-18 |
CN110806717B CN110806717B (en) | 2022-03-11 |
Family
ID=69490955
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911150109.2A Active CN110806717B (en) | 2019-11-21 | 2019-11-21 | Centralized control console of mining communication control system and mining communication control system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110806717B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115150855A (en) * | 2022-06-29 | 2022-10-04 | 煤炭科学技术研究院有限公司 | Mining converged communication system and communication method |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1159865A (en) * | 1997-08-21 | 1999-03-02 | Techno Ishii:Kk | Maintenance system |
CN101418688A (en) * | 2007-10-26 | 2009-04-29 | 三一重型装备有限公司 | Intelligent full automatic combine coal mining system |
CN202067142U (en) * | 2011-06-02 | 2011-12-07 | 邯郸市康创电气有限公司 | Intelligent monitoring system for transportation of belt below mine |
CN102913278A (en) * | 2012-11-02 | 2013-02-06 | 宿州市恒泰电器有限公司 | Modularization-based universal intelligent coal mine underground belt transport monitoring and controlling system |
CN102942039A (en) * | 2012-11-27 | 2013-02-27 | 山西三元煤业股份有限公司 | Belt conveyor control system and method capable of adjusting belt speeds automatically according to material flows or material levels |
CN103144936A (en) * | 2013-02-05 | 2013-06-12 | 中国矿业大学 | Intelligent control system and control method for scraper conveyer |
CN104153815A (en) * | 2014-08-27 | 2014-11-19 | 北京迪为双兴通讯技术有限公司 | Comprehensive integral mine dispatching communication system |
CN106628948A (en) * | 2016-12-22 | 2017-05-10 | 神华集团有限责任公司 | Method, device and system for adjusting speed of coal mine belt conveyor |
CN107187825A (en) * | 2017-07-14 | 2017-09-22 | 天津工业大学 | A kind of belt conveyor monitoring system based on Ethernet |
WO2017177661A1 (en) * | 2016-04-15 | 2017-10-19 | 乐视控股(北京)有限公司 | Convolutional neural network-based video retrieval method and system |
CN108717568A (en) * | 2018-05-16 | 2018-10-30 | 陕西师范大学 | A kind of image characteristics extraction and training method based on Three dimensional convolution neural network |
CN109302588A (en) * | 2018-11-09 | 2019-02-01 | 中国矿业大学 | A kind of mine sealing-tape machine video centralized control system based on configuration software |
CN110119701A (en) * | 2019-04-30 | 2019-08-13 | 东莞恒创智能科技有限公司 | The coal mine fully-mechanized mining working unsafe acts recognition methods of view-based access control model relationship detection |
CN110276931A (en) * | 2019-07-19 | 2019-09-24 | 精英数智科技股份有限公司 | Alarm method, the apparatus and system of danger zone someone operation when coalcutter coal cutting |
-
2019
- 2019-11-21 CN CN201911150109.2A patent/CN110806717B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1159865A (en) * | 1997-08-21 | 1999-03-02 | Techno Ishii:Kk | Maintenance system |
CN101418688A (en) * | 2007-10-26 | 2009-04-29 | 三一重型装备有限公司 | Intelligent full automatic combine coal mining system |
CN202067142U (en) * | 2011-06-02 | 2011-12-07 | 邯郸市康创电气有限公司 | Intelligent monitoring system for transportation of belt below mine |
CN102913278A (en) * | 2012-11-02 | 2013-02-06 | 宿州市恒泰电器有限公司 | Modularization-based universal intelligent coal mine underground belt transport monitoring and controlling system |
CN102942039A (en) * | 2012-11-27 | 2013-02-27 | 山西三元煤业股份有限公司 | Belt conveyor control system and method capable of adjusting belt speeds automatically according to material flows or material levels |
CN103144936A (en) * | 2013-02-05 | 2013-06-12 | 中国矿业大学 | Intelligent control system and control method for scraper conveyer |
CN104153815A (en) * | 2014-08-27 | 2014-11-19 | 北京迪为双兴通讯技术有限公司 | Comprehensive integral mine dispatching communication system |
WO2017177661A1 (en) * | 2016-04-15 | 2017-10-19 | 乐视控股(北京)有限公司 | Convolutional neural network-based video retrieval method and system |
CN106628948A (en) * | 2016-12-22 | 2017-05-10 | 神华集团有限责任公司 | Method, device and system for adjusting speed of coal mine belt conveyor |
CN107187825A (en) * | 2017-07-14 | 2017-09-22 | 天津工业大学 | A kind of belt conveyor monitoring system based on Ethernet |
CN108717568A (en) * | 2018-05-16 | 2018-10-30 | 陕西师范大学 | A kind of image characteristics extraction and training method based on Three dimensional convolution neural network |
CN109302588A (en) * | 2018-11-09 | 2019-02-01 | 中国矿业大学 | A kind of mine sealing-tape machine video centralized control system based on configuration software |
CN110119701A (en) * | 2019-04-30 | 2019-08-13 | 东莞恒创智能科技有限公司 | The coal mine fully-mechanized mining working unsafe acts recognition methods of view-based access control model relationship detection |
CN110276931A (en) * | 2019-07-19 | 2019-09-24 | 精英数智科技股份有限公司 | Alarm method, the apparatus and system of danger zone someone operation when coalcutter coal cutting |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115150855A (en) * | 2022-06-29 | 2022-10-04 | 煤炭科学技术研究院有限公司 | Mining converged communication system and communication method |
WO2024001195A1 (en) * | 2022-06-29 | 2024-01-04 | 煤炭科学技术研究院有限公司 | Mining converged communication system and communication method |
Also Published As
Publication number | Publication date |
---|---|
CN110806717B (en) | 2022-03-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110806717B (en) | Centralized control console of mining communication control system and mining communication control system | |
CN108022414A (en) | A kind of alarm linkage method of command dispatching system, electronic equipment and storage medium | |
CN107729143A (en) | Application control method, apparatus, storage medium and electronic equipment | |
CN101588481A (en) | CCD fog-penetration imaging system and control method thereof | |
CN101068292A (en) | GPRS-based long-distance interactive multi-user intelligent information screen equipment | |
CN202077136U (en) | Superposing device for elevator | |
CN207408770U (en) | General Internet of Things centralized monitoring system | |
CN203582211U (en) | Elevator floor selector | |
CN114265373A (en) | Integrated control platform control system for fully mechanized mining face | |
CN206665912U (en) | A kind of wireless elevator monitoring system provided | |
CN106681483A (en) | Interaction method and interaction system for intelligent equipment | |
CN107346119A (en) | Cooperative control method, apparatus and system | |
CN100569616C (en) | Elevator monitoring system | |
CN106657936A (en) | Voice warning method and system based on video monitoring of dangerous area | |
CN113014856B (en) | Conference system for realizing cross-department cloud collaboration based on multi-terminal video fusion | |
CN204887021U (en) | Utilize public platform's field device's field data transmission equipment and monitored control system | |
CN202976460U (en) | Intelligent public transport display station board system | |
CN105999626A (en) | Treadmill control device and treadmill | |
CN207625553U (en) | A kind of building intelligent talk back equipment with broadband power carrier communication apparatus | |
CN110459115A (en) | Portable Internet of Things elevator apparatus for demonstrating | |
CN218754342U (en) | Elevator video monitoring management machine capable of actively reducing noise | |
CN212381306U (en) | Visual IP five-party communication system | |
CN203102099U (en) | Intelligent service terminal | |
CN214040136U (en) | Digital cabinet of synthesizing of job site second grade distribution | |
CN201869230U (en) | Portable remote field diagnostic instrument |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |