CN111882600B - Coal briquette directional processing platform utilizing cloud analysis - Google Patents

Coal briquette directional processing platform utilizing cloud analysis Download PDF

Info

Publication number
CN111882600B
CN111882600B CN202010581060.2A CN202010581060A CN111882600B CN 111882600 B CN111882600 B CN 111882600B CN 202010581060 A CN202010581060 A CN 202010581060A CN 111882600 B CN111882600 B CN 111882600B
Authority
CN
China
Prior art keywords
coal
analysis
belt
briquette
processing platform
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.)
Active
Application number
CN202010581060.2A
Other languages
Chinese (zh)
Other versions
CN111882600A (en
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongzhi (Shandong) Trading Co.,Ltd.
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202010581060.2A priority Critical patent/CN111882600B/en
Publication of CN111882600A publication Critical patent/CN111882600A/en
Application granted granted Critical
Publication of CN111882600B publication Critical patent/CN111882600B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • B07C5/342Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3422Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/0014Image feed-back for automatic industrial control, e.g. robot with camera
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume

Abstract

The invention relates to a coal briquette directional processing platform utilizing cloud analysis, which comprises: the belt conveying mechanism is arranged at the position of the coal digging operation surface, one end of the belt conveying mechanism is close to the operation surface, and the other end of the belt conveying mechanism is far away from the operation surface and is positioned above the coal carrier and used for conveying each coal block from the operation surface into the coal carrier; the belt conveying mechanism comprises a driving motor, a conveying belt, a driving shaft and a follow-up shaft; the mechanical grabbing mechanism and the signal acquisition mechanism are arranged on the same horizontal plane, and the distance between the mechanical grabbing mechanism and the signal acquisition mechanism is less than or equal to a preset distance threshold; a coal briquette storage container for receiving larger coal briquettes. The coal briquette directional processing platform utilizing cloud analysis is compact in design, safe and reliable. The large coal blocks on the conveying belt can be identified on site by adopting a cloud processing mode, and the directional sorting mechanism with the customized structure is introduced to perform sorting processing of the large coal blocks, so that safety accidents in the transportation process of the large coal blocks are avoided.

Description

Coal briquette directional processing platform utilizing cloud analysis
Technical Field
The invention relates to the field of cloud processing, in particular to a coal briquette directional processing platform utilizing cloud analysis.
Background
Cloud processing refers to a processing mode in which various complex and big data operations are placed at a cloud computing server on the far-end network side.
Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. In the early stage of cloud computing, simple distributed computing is adopted, task distribution is solved, and computing results are merged. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved.
At present, the cloud service is not just distributed computing, but a result of hybrid evolution and leap of computer technologies such as distributed computing, utility computing, load balancing, parallel computing, network storage, hot backup redundancy, virtualization and the like.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a coal briquette directional processing platform utilizing cloud analysis, which can perform high-precision identification on large coal briquettes on a conveying belt by adopting a cloud processing mode, and introduce a directional sorting mechanism with a customized structure to perform sorting processing of the large coal briquettes, so that safety accidents in the transportation process of the large coal briquettes are avoided.
Therefore, the present invention needs to have at least two important points:
(1) a targeted visual recognition mechanism is adopted to carry out high-precision recognition on the larger coal blocks on the conveying belt so as to provide valuable reference data for subsequent coal block sorting;
(2) the directional sorting mechanism adopting the customized structure sorts out the large coal blocks on the conveying belt so as to avoid loading, thereby reducing the coal block falling accidents generated by the conveying vehicle when the coal blocks are conveyed and improving the safety of coal block conveying.
According to an aspect of the present invention, there is provided a coal briquette directional processing platform using cloud analysis, the platform comprising:
the belt conveying mechanism is arranged at the position of the coal digging operation surface, one end of the belt conveying mechanism is close to the operation surface, and the other end of the belt conveying mechanism is far away from the operation surface and is positioned above the coal carrier and used for conveying each coal block from the operation surface into the coal carrier;
the belt conveying mechanism comprises a driving motor, a conveying belt, a driving shaft and a follow-up shaft, wherein the driving motor is connected with the driving shaft;
the signal acquisition mechanism is positioned above the middle position of the driving shaft and the follower shaft and used for acquiring image signals of the transmission environment of the transmission belt so as to obtain a corresponding transmission environment image;
the trap filtering equipment is arranged near the signal acquisition mechanism and used for executing trap filtering processing on the received transmission environment image so as to obtain a corresponding instant filtering image;
the brightness identification device is arranged at the cloud end, is connected with the trap filtering device through a network, and is used for identifying each coal block region in the instant filtering image and taking a coal block object corresponding to the coal block region with the area exceeding the limit as a typical object;
the first analysis mechanism is connected with the brightness identification device through a network and is used for identifying the real-time depth of field of each typical object in the instant filtering image;
a second analysis mechanism, connected to the first analysis mechanism, for performing the following processing for each representative object: determining a grabbing position of the mechanical grabbing mechanism on the water surface based on the relative position of the typical object in the instant filtering image, and determining a grabbing position of the mechanical grabbing mechanism in the depth direction at the determined grabbing position on the water surface based on the real-time depth of field of the typical object in the instant filtering image to serve as a final positioning position;
the motor driving mechanism is connected with the second analysis mechanism and used for determining a driving instruction for driving the mechanical grabbing mechanism to the final positioning position based on the distance difference from the final positioning position to the installation position of the mechanical grabbing mechanism;
the mechanical grabbing mechanism and the signal acquisition mechanism are arranged on the same horizontal plane, and the distance between the mechanical grabbing mechanism and the signal acquisition mechanism is less than or equal to a preset distance threshold;
and the coal briquette storage container is arranged near the mechanical grabbing mechanism and is used for receiving and accommodating the larger coal briquettes grabbed by the mechanical grabbing mechanism from the conveying belt.
According to another aspect of the invention, a coal briquette orienting processing method utilizing cloud analysis is further provided, and the method comprises the step of using the coal briquette orienting processing platform utilizing cloud analysis, which is used for carrying out online analysis on the size of the coal briquette on the conveying belt at the cloud end so as to execute sorting processing of the coal briquette with larger size based on the analysis result.
The coal briquette directional processing platform utilizing cloud analysis is compact in design, safe and reliable. The large coal blocks on the conveying belt can be identified on site by adopting a cloud processing mode, and the directional sorting mechanism with the customized structure is introduced to perform sorting processing of the large coal blocks, so that safety accidents in the transportation process of the large coal blocks are avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a belt conveyor of a coal briquette orienting processing platform using cloud analysis according to an embodiment of the present invention.
Detailed Description
Embodiments of the coal briquette orientation processing platform using cloud analysis according to the present invention will be described in detail below with reference to the accompanying drawings.
Coal mines are reasonable spaces excavated by humans when excavating geological formations rich in coal and generally include roadways, wells, and mining surfaces, among others. Coal is the most predominant solid fuel, one of the flammable organic rocks. It is formed by that the flourishing plants grown in a certain geologic age are gradually piled up into a thick layer in a proper geologic environment, and are buried in the water bottom or silt, and then are subjected to the natural coalification action in a long geologic age. In the geologic periods of the world, most coal is produced in the stratums of the stone charm, the pilaster, the Jurassic and the third era, which is an important coal-forming era. The carbon content of the coal is generally 46-97%, and the coal is brown to black and has dull to metallic luster. According to the degree of coalification, coal can be classified into peat, lignite, bituminous coal and anthracite.
When the coal seam is close to the surface of the earth, the open pit mining mode is economical. The soil above the coal seam is called topsoil. An explosive is buried in a surface soil belt which has not been developed, and then the surface soil is removed using a dredger, an excavator, a truck, or the like. This overburden is then filled into a previously mined pit. After the top soil is removed, the coal seam will be exposed; at this time, the coal is drilled or fried, and the coal is transported to a coal preparation plant by a truck for further treatment. The open pit mining approach may result in a greater percentage of the coal mine than the underground mining approach because more mine sites are utilized. Open pit coal mines can cover areas of several square kilometers. About 40% of coal mine production worldwide uses open pit mining.
Currently, in the practical operation of coal mine management, some coal blocks with larger size are delivered to a transportation vehicle along with each coal block dug from a working face, and the coal blocks with larger size have the following hidden troubles in the transportation process: in the bumping process of the transport vehicle, nearby personnel and facilities are easily hit when the coal blocks with larger sizes fall off the transport vehicle, and the falling of the coal blocks with larger sizes also objectively influences the coal transporting efficiency.
In order to overcome the defects, the invention provides the coal briquette directional processing platform utilizing cloud analysis, and the corresponding technical problems can be effectively solved.
The coal briquette directional processing platform utilizing cloud analysis according to the embodiment of the invention comprises:
the belt conveying mechanism is arranged at the coal digging operation surface, one end of the belt conveying mechanism is close to the operation surface, and the other end of the belt conveying mechanism is far away from the operation surface and is positioned above the coal carrier and used for conveying each coal block from the operation surface into the coal carrier;
the belt conveying mechanism comprises a driving motor, a conveying belt, a driving shaft and a follow-up shaft, wherein the driving motor is connected with the driving shaft;
the signal acquisition mechanism is positioned above the middle position of the driving shaft and the follower shaft and used for acquiring image signals of the transmission environment of the transmission belt so as to obtain a corresponding transmission environment image;
the trap filtering equipment is arranged near the signal acquisition mechanism and used for executing trap filtering processing on the received transmission environment image so as to obtain a corresponding instant filtering image;
the brightness identification device is arranged at the cloud end, is connected with the trap filtering device through a network, and is used for identifying each coal block region in the instant filtering image and taking a coal block object corresponding to the coal block region with the area exceeding the limit as a typical object;
the first analysis mechanism is connected with the brightness identification device through a network and is used for identifying the real-time depth of field of each typical object in the instant filtering image;
a second analysis mechanism, connected to the first analysis mechanism, for performing the following processing for each representative object: determining a grabbing position of the mechanical grabbing mechanism on the water surface based on the relative position of the typical object in the instant filtering image, and determining a grabbing position of the mechanical grabbing mechanism in the depth direction at the determined grabbing position on the water surface based on the real-time depth of field of the typical object in the instant filtering image to serve as a final positioning position;
the motor driving mechanism is connected with the second analysis mechanism and used for determining a driving instruction for driving the mechanical grabbing mechanism to the final positioning position based on the distance difference from the final positioning position to the installation position of the mechanical grabbing mechanism;
the mechanical grabbing mechanism and the signal acquisition mechanism are arranged on the same horizontal plane, and the distance between the mechanical grabbing mechanism and the signal acquisition mechanism is less than or equal to a preset distance threshold;
and the coal briquette storage container is arranged near the mechanical grabbing mechanism and is used for receiving and accommodating the larger coal briquettes grabbed by the mechanical grabbing mechanism from the conveying belt.
Next, the specific structure of the coal briquette directional processing platform using cloud analysis according to the present invention will be further described.
In the coal briquette directional processing platform utilizing cloud analysis:
identifying individual coal regions in the live filtered image includes: and identifying each coal block pixel in the instant filtering image based on the brightness distribution range of the coal block imaging pixel, and fitting and synthesizing each coal block area based on each coal block pixel.
In the coal briquette directional processing platform utilizing cloud analysis:
the typical coal block objects corresponding to the coal block regions with the areas exceeding the limits include: and taking the coal block object corresponding to the coal block area occupying the pixel number more than or equal to the preset number threshold value as a typical object.
The coal briquette directional processing platform utilizing cloud analysis further comprises:
the parameter identification device is arranged at the bottom of the coal briquette storage container and used for sending a first identification instruction when the detected bearing weight of the coal briquette storage container is overweight;
and the parameter identification equipment is also used for sending a second identification instruction when the detected bearing weight of the coal briquette storage container is not overweight.
The coal briquette directional processing platform utilizing cloud analysis further comprises:
and the ZIGBEE communication mechanism is connected with the parameter authentication device and is used for wirelessly transmitting the received first authentication instruction or the second authentication instruction to a nearby ZIGBEE monitoring server.
The coal briquette directional processing platform utilizing cloud analysis further comprises:
and the parallel line socket is respectively connected with the signal output ends of the brightness identification device, the first analysis mechanism and the second analysis mechanism.
In the coal briquette directional processing platform utilizing cloud analysis:
the brightness recognition device is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
The coal briquette directional processing platform utilizing cloud analysis further comprises:
and the buzzer is connected with the first analysis mechanism and used for executing the alarm action of the preset playing frequency when the first analysis mechanism is in an abnormal state.
In the coal briquette directional processing platform utilizing cloud analysis:
the first analysis mechanism and the brightness identification device share the same data cache device, and the data cache device divides the data cache address into two sections for respectively storing the cache data of the brightness identification device and the first analysis mechanism;
the data cache device is respectively connected with the brightness identification device and the first analysis mechanism through a parallel data bus.
Meanwhile, in order to overcome the defects, the invention also builds a coal briquette directional processing method by utilizing cloud analysis, and the method comprises the step of using the coal briquette directional processing platform by utilizing cloud analysis, and the coal briquette directional processing platform is used for carrying out online analysis on the size of the coal briquette on the conveying belt at the cloud so as to execute sorting processing of the coal briquette with larger size based on the analysis result.
In addition, ZIGBEE is a low power consumption lan protocol based on the ieee802.15.4 standard. According to international standards, ZIGBEE technology is a short-range, low-power wireless communication technology. This name (also called the purple bee protocol) is derived from the dance of the eight characters of bees, since bees (bee) communicate the orientation information of pollen with partners by flying and "waving" (ZIG) flapping wings, "i.e. bees form a communication network in the community by this way. Its advantages are short distance, low complexity, self-organization, low power consumption and low data rate. The device is mainly suitable for the fields of automatic control and remote control, and can be embedded into various devices.
In short, ZIGBEE is an inexpensive and low-power-consumption short-range wireless networking communication technology. ZIGBEE is a wireless network protocol for low-speed short-range transmission. The ZIGBEE protocol is, from bottom to top, a physical layer (PHY), a media access control layer (MAC), a Transport Layer (TL), a network layer (NWK), an application layer (APL), and the like. Wherein the physical layer and the medium access control layer comply with the provisions of the IEEE802.15.4 standard.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.

Claims (6)

1. A coal briquette directional processing platform utilizing cloud analytics, the platform comprising:
the belt conveying mechanism is arranged at the position of the coal digging operation surface, one end of the belt conveying mechanism is close to the operation surface, and the other end of the belt conveying mechanism is far away from the operation surface and is positioned above the coal carrier and used for conveying each coal block from the operation surface into the coal carrier;
the belt conveying mechanism comprises a driving motor, a conveying belt, a driving shaft and a follow-up shaft, wherein the driving motor is connected with the driving shaft;
the signal acquisition mechanism is positioned above the middle position of the driving shaft and the follower shaft and used for acquiring image signals of the transmission environment of the transmission belt so as to obtain a corresponding transmission environment image;
the trap filtering equipment is arranged near the signal acquisition mechanism and used for executing trap filtering processing on the received transmission environment image so as to obtain a corresponding instant filtering image;
the brightness identification device is arranged at the cloud end, is connected with the trap filtering device through a network, and is used for identifying each coal block region in the instant filtering image and taking a coal block object corresponding to the coal block region with the area exceeding the limit as a typical object;
the first analysis mechanism is connected with the brightness identification device through a network and is used for identifying the real-time depth of field of each typical object in the instant filtering image;
a second analysis mechanism, connected to the first analysis mechanism, for performing the following processing for each representative object: determining a grabbing position of the mechanical grabbing mechanism on the water surface based on the relative position of the typical object in the instant filtering image, and determining a grabbing position of the mechanical grabbing mechanism in the depth direction at the determined grabbing position on the water surface based on the real-time depth of field of the typical object in the instant filtering image to serve as a final positioning position;
the motor driving mechanism is connected with the second analysis mechanism and used for determining a driving instruction for driving the mechanical grabbing mechanism to the final positioning position based on the distance difference from the final positioning position to the installation position of the mechanical grabbing mechanism;
the mechanical grabbing mechanism and the signal acquisition mechanism are arranged on the same horizontal plane, and the distance between the mechanical grabbing mechanism and the signal acquisition mechanism is less than or equal to a preset distance threshold;
the coal briquette storage container is arranged near the mechanical grabbing mechanism and is used for receiving and accommodating the larger coal briquettes grabbed by the mechanical grabbing mechanism from the conveying belt;
identifying individual coal regions in the live filtered image includes: identifying each coal block pixel in the instant filtering image based on the brightness distribution range of the coal block imaging pixel, and fitting each coal block area based on each coal block pixel;
the typical coal block objects corresponding to the coal block regions with the areas exceeding the limits include: taking a coal block object corresponding to a coal block area occupying a pixel number greater than or equal to a preset number threshold value as a typical object;
the parameter identification device is arranged at the bottom of the coal briquette storage container and used for sending a first identification instruction when the detected bearing weight of the coal briquette storage container is overweight;
the parameter identification equipment is further used for sending a second identification instruction when the detected bearing weight of the coal briquette storage container is not overweight;
a ZIGBEE communication mechanism connected with the parameter authentication device and used for wirelessly transmitting the received first authentication instruction or the second authentication instruction to a nearby ZIGBEE monitoring server;
in the ZIGBEE communication mechanism, ZIGBEE is a local area network protocol based on IEEE802.15.4 standard and used in the fields of automatic control and remote control, and the ZIGBEE protocol is a physical layer, a media access control layer, a transmission layer, a network layer and an application layer from bottom to top, wherein the physical layer and the media access control layer conform to the regulation of the IEEE802.15.4 standard.
2. The coal briquette directional processing platform utilizing cloud analysis of claim 1, wherein the platform further comprises:
and the parallel line socket is respectively connected with the signal output ends of the brightness identification device, the first analysis mechanism and the second analysis mechanism.
3. The coal briquette directional processing platform utilizing cloud analysis of claim 2, wherein:
the brightness recognition device is internally provided with a serial communication interface and is used for receiving a control signal sent by a user through the serial communication interface.
4. The coal briquette directional processing platform utilizing cloud analysis of claim 3, wherein the platform further comprises:
and the buzzer is connected with the first analysis mechanism and used for executing the alarm action of the preset playing frequency when the first analysis mechanism is in an abnormal state.
5. The coal briquette directional processing platform utilizing cloud analysis of claim 4, wherein:
the first analysis mechanism and the brightness identification device share the same data cache device, and the data cache device divides the data cache address into two sections for respectively storing the cache data of the brightness identification device and the first analysis mechanism;
the data cache device is respectively connected with the brightness identification device and the first analysis mechanism through a parallel data bus.
6. A coal briquette directional processing method by using cloud analysis, the method comprising providing a coal briquette directional processing platform by using cloud analysis according to any one of claims 1-5, for performing online analysis on the size of coal briquettes on a conveyor belt at the cloud so as to perform sorting processing of larger-size coal briquettes based on the analysis result.
CN202010581060.2A 2020-06-23 2020-06-23 Coal briquette directional processing platform utilizing cloud analysis Active CN111882600B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010581060.2A CN111882600B (en) 2020-06-23 2020-06-23 Coal briquette directional processing platform utilizing cloud analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010581060.2A CN111882600B (en) 2020-06-23 2020-06-23 Coal briquette directional processing platform utilizing cloud analysis

Publications (2)

Publication Number Publication Date
CN111882600A CN111882600A (en) 2020-11-03
CN111882600B true CN111882600B (en) 2021-04-13

Family

ID=73158210

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010581060.2A Active CN111882600B (en) 2020-06-23 2020-06-23 Coal briquette directional processing platform utilizing cloud analysis

Country Status (1)

Country Link
CN (1) CN111882600B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1806940A (en) * 2006-01-23 2006-07-26 湖南大学 Defective goods automatic sorting method and equipment for high-speed automated production line
CN108480239A (en) * 2018-02-10 2018-09-04 浙江工业大学 Workpiece quick sorting method based on stereoscopic vision and device
CN110580725A (en) * 2019-09-12 2019-12-17 浙江大学滨海产业技术研究院 Box sorting method and system based on RGB-D camera
CN111170161A (en) * 2019-12-28 2020-05-19 王昆 Mode setting system based on scene detection
CN111242108A (en) * 2020-04-26 2020-06-05 华夏天信(北京)智能低碳技术研究院有限公司 Belt transfer point coal blockage identification method based on target detection
CN210788211U (en) * 2019-09-20 2020-06-19 昆明理工大学 Material sorting device

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103473568A (en) * 2013-09-13 2013-12-25 山东科技大学 Separation device for coal and waste rocks and separation method thereof
CN106140658B (en) * 2016-07-11 2018-04-24 安德斌 A kind of method and special equipment for identifying coal and gangue
CN106290457B (en) * 2016-08-15 2018-11-20 唐山昂里智能科技有限公司 A kind of method and special equipment based on temperature identification coal and gangue
CN106694398A (en) * 2016-12-09 2017-05-24 北京默德科技有限公司 Gangue sorting system and method
CN109848073A (en) * 2019-02-22 2019-06-07 浙江大学滨海产业技术研究院 A kind of apparatus and method for sorting coal and gangue
CN111266304A (en) * 2019-12-02 2020-06-12 唐山因泰智能科技发展有限公司 Coal briquette identification, detection and sorting system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1806940A (en) * 2006-01-23 2006-07-26 湖南大学 Defective goods automatic sorting method and equipment for high-speed automated production line
CN108480239A (en) * 2018-02-10 2018-09-04 浙江工业大学 Workpiece quick sorting method based on stereoscopic vision and device
CN110580725A (en) * 2019-09-12 2019-12-17 浙江大学滨海产业技术研究院 Box sorting method and system based on RGB-D camera
CN210788211U (en) * 2019-09-20 2020-06-19 昆明理工大学 Material sorting device
CN111170161A (en) * 2019-12-28 2020-05-19 王昆 Mode setting system based on scene detection
CN111242108A (en) * 2020-04-26 2020-06-05 华夏天信(北京)智能低碳技术研究院有限公司 Belt transfer point coal blockage identification method based on target detection

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于机器视觉的多机械臂煤矸石分拣机器人系统研究;曹现刚 等;《煤炭科学技术》;20190430;第47卷(第4期);第1-3节,图1-2 *
基于机器视觉的多机械臂煤矸石分拣机器人系统研究;王鹏 等;《工矿自动化》;20190930;第45卷(第9期);第1节,图1 *

Also Published As

Publication number Publication date
CN111882600A (en) 2020-11-03

Similar Documents

Publication Publication Date Title
Sharma Deep-sea mining: Economic, technical, technological, and environmental considerations for sustainable development
Johansen et al. Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines
Viola et al. Brittle tectonic evolution along the western margin of South Africa: more than 500 Myr of continued reactivation
Botha et al. Biostratigraphy of the Lystrosaurus declivis Assemblage Zone (Beaufort Group, Karoo Supergroup), South Africa
CN103049655B (en) Mining area land ecological damage information acquisition method based on multiple data sources
CN102509087A (en) Coal-rock identification method based on image gray level co-occurrence matrixes
Magnini et al. Object‐based shell craters classification from LiDAR‐derived sky‐view factor
Wei et al. Modeling-based mineral system approach to prospectivity mapping of stratabound hydrothermal deposits: A case study of MVT Pb-Zn deposits in the Huayuan area, northwestern Hunan province, China
CN111882600B (en) Coal briquette directional processing platform utilizing cloud analysis
Kumar et al. Settlement risk zone recognition using high resolution satellite data in Jharia Coal Field, Dhanbad, India
Abdullah et al. Assessing native desert vegetation recovery in a war‐affected area using multispectral and hyperspectral imagery: a case study of the Sabah Al‐Ahmad Nature Reserve, Kuwait
Killingbeck et al. Earth hummocks in West Dartmoor, SW England: characteristics, age and origin
CN115526544A (en) Green mine construction planning method and system based on multi-type data
CN112946240B (en) Landslide geological disaster gene identification and prediction system
CN113066045A (en) Transmission performance analysis system
Bakker et al. The¡ VAMOS! sustainable underwater mining solution
Oguntoyinbo et al. Integrated GIS-based and geophysical techniques in groundwater potential zonation: a case study of Jos North local government area
CN111881745A (en) Full load detection system based on big data storage
Williams Can mining ever go green? A quarter of carbon emissions come from mining, but that isn't the industry's only environmental challenge…
Sun 5G+ Smart Mining
CN116245360A (en) Intelligent identification platform for hidden danger in coal mine safety production
Marcisz et al. Valorization of coal mining waste dumps from the mines of Jastrzębska Spółka Węglowa SA for the needs of recovery of coal and further reclamation and management
Kaplan et al. Self-healing time estimation of abandoned mine areas using remote sensing
Alam et al. Geotourism Potential Study Based on Environmental Sustainability in Berambai, Samarinda City, East Kalimantan
Dombrowsky Resource and Reserve Classification of a Solwara 1 type Deposit at an Arctic Mid Ocean Ridge

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
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20210318

Address after: 233500 no.064, wulichenzhuang, Mengguang village, Zhuangzhou Township, Mengcheng County, Bozhou City, Anhui Province

Applicant after: Cai Fang

Address before: 214016 1906, 1908-257, Guang Rui Road, Liang Xi District, Wuxi, Jiangsu

Applicant before: WUXI BEIDOUXINGTONG INFORMATION TECHNOLOGY Co.,Ltd.

GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20220915

Address after: 11-11, Block B, Financial Technology Center, No. 139, Liuquan Road, High-tech Zone, Zibo City, Shandong Province, 255000

Patentee after: Zhongzhi (Shandong) Trading Co.,Ltd.

Address before: 233500 no.064, wulichenzhuang, Mengguang village, Zhuangzhou Township, Mengcheng County, Bozhou City, Anhui Province

Patentee before: Cai Fang