CN115309124A - Control method and system for bulk cargo wharf for overall assistance of belt weigher - Google Patents

Control method and system for bulk cargo wharf for overall assistance of belt weigher Download PDF

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Publication number
CN115309124A
CN115309124A CN202211107587.7A CN202211107587A CN115309124A CN 115309124 A CN115309124 A CN 115309124A CN 202211107587 A CN202211107587 A CN 202211107587A CN 115309124 A CN115309124 A CN 115309124A
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data
management module
scale
module
cloud
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CN202211107587.7A
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CN115309124B (en
Inventor
苏岳
何晓涛
朱孔帅
惠刚刚
肖龙飞
王平
凌乐寒
许明华
邓恒锋
黄文杰
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Guangzhou Port Xinsha Stevedoring Co ltd
CCCC Fourth Harbor Engineering Institute Co Ltd
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Guangzhou Port Xinsha Stevedoring Co ltd
CCCC Fourth Harbor Engineering Institute Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4185Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G11/00Apparatus for weighing a continuous stream of material during flow; Conveyor belt weighers
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/31From computer integrated manufacturing till monitoring
    • G05B2219/31088Network communication between supervisor and cell, machine group
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a control method for bulk cargo wharf about overall assistance of a belt scale, which comprises the steps of inputting a control instruction; receiving and processing a control instruction; sending the physical information of the arm frame scale of the bucket wheel machine to gateway equipment and receiving an accumulated quantity zero clearing instruction and the physical information of the ground belt scale at the front edge of the loading dock; data information is packaged in a centralized mode, and the data package is sent to a cloud network server and/or a bucket wheel machine arm frame scale; the data packet is collected, analyzed and processed and is sent to an application server; sending data and receiving an accumulated quantity zero clearing instruction; and (5) processing data and displaying and outputting. The invention also provides a control system for the bulk cargo wharf for the overall assistance of the belt weighers, which comprises gateway equipment, an application server, a ground belt weigher, a bucket wheel machine arm frame weigher and a cloud network server, wherein the application server is provided with an operating system and virtualization software; the invention is compatible with different electronic scales of the wharf, unified in control and integrated in display, convenient in production guidance and improved in production efficiency.

Description

Control method and system for bulk cargo wharf for overall assistance of belt weigher
Technical Field
The invention relates to the technical field of software management of wharf electronic scales, in particular to a control method and a system for bulk cargo wharf on overall planning assistance of a belt scale.
Background
The ship unloader, bucket wheel machine, band conveyer, shipment machine are the special equipment of accomplishing bulk cargo pier flow shipment operation of mutually supporting, are indispensable in coal mine system flow operation, and wherein the operation flow of unloading a ship is: a large coal mine transport ship, a ship unloader, a belt conveyor, a bucket wheel machine and a yard; the ship loading process comprises a storage yard, a bucket wheel machine, a belt conveyor, a ship loader and a barge. The coal mine system uses flow equipment to finish the collecting, distributing and dredging of materials, namely, the wharf collecting and distributing of bulk materials such as coal and ore sand are finished through the operation of a loading and unloading ship, and the coal mine system plays an important role in high-speed circulation, efficiency collection and rolling type development of the port industry. In order to further respond to the national strategy for accelerating and advancing the construction of intelligent ports, promote the technical progress, achieve the purposes of science and technology developing ports and science and technology strong ports, enable the speed of the port technology development to keep pace with the rapid economic development, reduce the cost, improve the quality and improve the efficiency of operation and production, and the bulk cargo ports urgently need to improve the intelligent level of production management, change to the intelligent type and the energy-saving type, and achieve the sustainable goal of green health. At present, except for a very small number of bulk cargo wharfs, production workload monitoring and metering are completed by means of electronic weighing equipment installed on process equipment, wherein the electronic weighing equipment comprises a belt electronic scale and a bucket wheel machine arm frame scale, the belt electronic scale installed on the front edge of an unloading wharf can timely and effectively count and summarize unloading workload and production efficiency, and references are provided for large ship unloading operation and planning by leaving port; the arm frame scales arranged on the cantilever of the bucket wheel machine and the belt electronic scales arranged on the front edge of the loading wharf are mutually verified and redundant, so that the loading capacity and the loading efficiency of the barge can be timely and effectively monitored and measured, and the data are fed back to a monitoring operation system of a central control room (central control room) of a coal mine system, and the materials in the loading operation process are subjected to real-time and efficient closed-loop weighing and data feedback, so that the materials are quickly and efficiently transported out, the weight is not bad, and the loading efficiency of the barge is improved. However, electronic scale manufacturers are different, and each brand of product has a set of independently-built management control system, so that different types of electronic scale products have to be used due to complicated use conditions on site in bulk cargo wharfs, and therefore the electronic weighing system cannot be integrated and managed, cannot visually and effectively display and be applied to guidance of production operation on a central control room monitoring operation system, and assists a coal mine system to safely and efficiently complete a ship loading and unloading task. A great variety of electronic scale management control systems are inconvenient in data collection, analysis and processing, large in management difficulty and high in requirement on technical personnel, so that the cost of manpower and material resources for electronic scales is greatly increased, the auxiliary effect of the electronic scales on production cannot be fully exerted, and the production efficiency is improved.
Disclosure of Invention
In view of the above, a control method and a system for bulk cargo terminal with regard to belt scale overall assistance are provided to solve the above-mentioned drawbacks in the background art, and the technical problem solved by the present invention is how to implement unified management and control and integrated display for electronic scales used under different brands and different working conditions, and to facilitate guidance of production, thereby improving production efficiency, fully mobilizing subjective activity of equipment operation drivers, reducing labor intensity of central control room workers, and improving service quality of the terminal.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a control method for overall assistance of a belt weigher of a bulk cargo wharf, which is applied to a wharf electronic weigher communication service system, wherein the wharf electronic weigher communication service system comprises a gateway device, an application server, a loading wharf frontage ground belt weigher, a bucket wheel machine arm frame weigher and a cloud network server, the application server, the loading wharf frontage ground belt weigher and the bucket wheel machine arm frame weigher are communicated with each other through the gateway device, and the application server is communicated with the cloud network server, and the control method comprises the following steps:
s1, inputting a control instruction related to ship loading real-time flow operation or ship unloading real-time flow operation;
s2, the application server receives and processes the relevant control instruction input in the S1;
s3, the bucket wheel machine arm support scale sends physical information of the bucket wheel machine arm support scale corresponding to the real-time flow operation of the loading and unloading ship to the gateway equipment, and receives an accumulated quantity reset instruction sent by the gateway equipment and physical information of the ground belt scale at the front edge of the loading and unloading wharf corresponding to the real-time flow operation of the loading and unloading ship;
s4, the gateway equipment packages the received data information from the arm support scale of the bucket wheel machine or the application server in a centralized manner, and sends the packaged data packets to the cloud network server and the arm support scale of the bucket wheel machine respectively;
s5, the cloud network server and/or the bucket wheel machine arm frame scale collects, analyzes and processes the received data packet and sends the data packet to the application server;
s6, the ground belt weigher at the front edge of the loading dock sends the data of the ground belt weigher to an application server and receives an accumulated amount reset instruction sent by the application server;
and S7, the application server processes the data received in the S6 and displays and outputs the data processing result.
Further, before S1, the control method further includes:
s100, installing an operating system and virtualization software in an application server;
the operating system is used for realizing the cooperative management and integrated display of all the process belt scales of the bulk cargo wharf;
the virtualization software is used for overall management of scale data and virtualized application servers.
Further, the control method further includes, between S1 and S100:
s200, the application server collects the received electronic scale data in a shared hard disk simulated by virtualization software;
s300, the virtualization software receives, analyzes and processes the data required by the user according to the self requirement, and stores the analyzed and processed data required by the user into the simulated shared hard disk again;
s400, the operating system is used for the data required by the user and stored in the S200, and the centralized display function and the zero calibration and peeling function of all the process belt scales and the comparison and inspection function of the arm support scale of the bucket wheel machine and the ground belt scale at the front edge of the loading and docking wharf in the loading and docking process operation are completed;
and the virtualization software is used for calling the data required by the user and stored in the S200, and sending the data of the ground belt scale at the front edge of the loading and docking station to the cloud network server.
Further, the application server forms a plurality of virtual machines; the operating system comprises a virtual machine operating platform and a bottom virtual operating system;
the virtual machine operation platform is used for providing a normal running ecological environment for the virtual machine, mapping the virtual machine and completing overall management and control of all electronic scales;
the bottom virtual operating system is used for pooling resources of the physical hardware of the application server.
Further, the bottom virtual running system pools hardware resources of the application server, so as to obtain a field data resource pool, a virtual mapping resource pool and a cloud mapping resource pool; the field data resource pool is a resource integration pool for storing, processing and calling functions of an input instruction set and is used for calling data processed by a field electronic scale resource management module and an instruction input module; the virtual mapping resource pool is a field centralized control resource pool which integrally controls the storage, operation and integrated display process of the virtual machine resources, and is used for carrying out data mapping on the processed field electronic scale data and external input instructions in the field data resource pool and allowing calling; and the cloud mapping resource pool is used as a resource pool for realizing remote cloud viewing.
Furthermore, the virtualization software comprises a field electronic scale resource management module, a data processing and allocating module, an instruction input management module, a virtual machine overall planning management module, a front-end monitoring module, a loading dock front ground belt scale management module, an unloading dock front ground belt scale management module, a network forwarding module and a remote cloud checking management module;
the field electronic scale resource management module is used for summarizing, analyzing, processing, decoding and compiling the field electronic scale data and sending the field electronic scale data to the data processing and allocating module;
the data processing and allocating module is a data transfer and distribution site, is respectively connected with the virtual machine overall management module and the network forwarding module, and is used for issuing resources required by the front-end monitoring module to the virtual machine overall management module and sending data compiled and processed by an on-site electronic scale and data controlled by the virtual machine overall management;
the instruction input management module is used for decoding and compiling an external input instruction and sending instruction data to the data processing and allocating module;
the virtual machine overall management module is used for calling mapping data in a virtual mapping resource pool of the virtual ecological virtual pool;
the front-end monitoring module is used for calling mapping data in the virtual machine overall planning management module, respectively sending processing results to the ship loading wharf front-edge ground belt weigher management module or the ship unloading wharf front-edge ground belt weigher management module, and sending the processed data to the cloud mapping resource pool;
the belt scale management module on the ground at the front edge of the shipping wharf is used for analyzing and processing data obtained from the front-end monitoring module by using a shipping process scheduling and deploying strategy;
the belt scale management module on the ground at the front edge of the ship unloading wharf is used for analyzing and processing data obtained from the front-end monitoring module by using a ship unloading process scheduling and deploying strategy;
the network forwarding module is used for assisting the remote cloud checking management module to perform network communication and data forwarding;
the remote cloud checking management module is used for uploading and storing mapping data in the cloud mapping resource pool to the cloud network server by means of the network forwarding module, the intranet and the cloud network server, so that a cloud user can know real-time operation information of the field electronic scale and/or the production condition of the field loading and unloading ship by means of cloud APP application.
Furthermore, the bottom virtual operation system is also used for utilizing the field electronic scale real-time operation data processed by the ship loading wharf front-edge ground belt scale management module and the ship unloading wharf front-edge ground belt scale management module, and displaying the operation information about electronic scale overall management and control in the virtual machine through the virtual machine operation platform, so that the field operation progress is monitored in real time.
Further, S7 comprises the following substeps:
s71, the front-end monitoring module receives an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is judged to be a ship loading flow, the ship loading wharf front-edge ground belt scale management module starts to put into use, and the received instruction is processed by utilizing a ship loading flow scheduling and deploying strategy;
if the ship unloading process is judged, the ground belt scale management module at the front edge of the ship unloading wharf starts to be put into use, and the received instruction is processed by applying a ship loading process scheduling and deploying strategy;
s72, in the shipping process, the shipping wharf front edge ground belt scale management module judges and extracts the shipping process to be operated and relevant electronic scales based on the multivariate data types of different operation processes, and then analyzes and processes to obtain real-time operation data of the electronic scales on the shipping process site, wherein the real-time operation data need to be comprehensively managed and controlled;
s73, in the ship unloading process, the belt scale management module on the ground at the front edge of the ship unloading wharf judges and extracts the to-be-operated unloading process and relevant electronic scales based on the multivariate data types of different operation processes, and then the real-time operation data of the electronic scales on the site of the ship unloading process needing overall management and control are obtained through analysis and processing;
s74, the front-end monitoring module maps the data streams of different processes to the virtual machine kernel module in the virtualization layer and configures parallel queues; then, checking the data transmission condition of the operation flow in real time, optimizing the transmission weight according to the load condition of the data flow, and adaptively adjusting and optimizing; the different processes comprise a ship loading process and a ship unloading process.
Further, S7 comprises the following substeps:
s701, receiving an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is a ship loading flow, starting a ship loading flow scheduling and deploying strategy function, and if the input instruction is a ship unloading flow, starting a ship unloading flow scheduling and deploying strategy function;
s702, judging and extracting the loading and unloading process to be operated and the related electronic scale based on the multivariate data types of different operation processes;
s703, mapping the data streams of different processes to the kernel module of the virtual machine in the virtualization layer, and configuring parallel queues to realize the isolation and management of the simultaneous execution of different task processes and the network security transmission;
and S704, checking the data transmission condition of the operation flow in real time, optimizing the transmission weight according to the load condition of the data flow, and performing self-adaptive adjustment and optimization.
The invention further provides a control system for the bulk cargo terminal for the belt weigher overall planning assistance, which comprises gateway equipment, an application server, a loading dock frontier ground belt weigher, a bucket wheel machine arm frame weigher and a cloud network server, wherein the application server, the loading dock frontier ground belt weigher and the bucket wheel machine arm frame weigher are communicated with each other through the gateway equipment, and the application server is communicated with the cloud network server; the application server forms a plurality of virtual machines; an operating system and virtualization software are installed in the application server; the operating system software is used for realizing the cooperative management and integrated display of all the belt weighers in the process of the bulk cargo wharf; the operating system comprises a virtual machine operating platform and a bottom virtual operating system; the virtual machine operation platform is used for providing a normal running ecological environment for the virtual machine, mapping the virtual machine and completing overall management and control of all electronic scales; the bottom virtual operation system is used for pooling resources of physical hardware of the application server; the bottom virtual running system pools hardware resources of the application server, so that a field data resource pool, a virtual mapping resource pool and a cloud mapping resource pool are obtained; the field data resource pool is a resource integration pool for storing, processing and calling functions of an input instruction set and is used for calling data processed by a field electronic scale resource management module and an instruction input module; the virtual mapping resource pool is a field centralized control resource pool which integrally controls the storage, operation and integrated display process of the virtual machine resources, and is used for carrying out data mapping on the processed field electronic scale data and external input instructions in the field data resource pool and allowing calling; the cloud mapping resource pool is used as a resource pool for realizing remote cloud viewing; the virtualization software comprises a field electronic scale resource management module, a data processing and allocating module, an instruction input management module, a virtual machine overall planning management module, a front-end monitoring module, a ship loading wharf front edge ground belt scale management module, a ship unloading wharf front edge ground belt scale management module, a network forwarding module and a remote cloud viewing management module; the field electronic scale resource management module is used for summarizing, analyzing, processing, decoding and compiling the field electronic scale data and sending the field electronic scale data to the data processing and allocating module; the data processing and allocating module is a data transfer and distribution site, is respectively connected with the virtual machine overall management module and the network forwarding module, and is used for issuing resources required by the front-end monitoring module to the virtual machine overall management module and sending data compiled and processed by an on-site electronic scale and data controlled by the virtual machine overall management; the instruction input management module is used for decoding and compiling an external input instruction and sending instruction data to the data processing and allocating module; the virtual machine overall management module is used for calling mapping data in a virtual mapping resource pool of the virtual ecological virtual pool; the front-end monitoring module is used for calling mapping data in the virtual machine overall management module, respectively sending processing results to the ship loading wharf front-edge ground belt scale management module or the ship unloading wharf front-edge ground belt scale management module, and sending the processed data to the cloud mapping resource pool; the shipping wharf front edge ground belt scale management module is used for analyzing and processing data obtained from the front end monitoring module by using a shipping process scheduling and deploying strategy; the ship unloading wharf front edge ground belt scale management module is used for analyzing and processing data obtained from the front end monitoring module by using a ship unloading process scheduling and deployment strategy; the network forwarding module is used for assisting the remote cloud checking management module to carry out network communication and data forwarding; the remote cloud checking management module is used for uploading and storing mapping data in the cloud mapping resource pool to the cloud network server by means of the network forwarding module and the intranet and the cloud network server, so that a cloud user can know real-time operation information of the on-site electronic scale and/or production conditions of the on-site loading and unloading ship by means of cloud APP application.
The invention has the beneficial effects that:
according to the control method and the system for the bulk cargo wharf with regard to the overall assistance of the belt weighers, all electronic weigher heads on the site are integrated into the same independent system, data reading and collection are carried out on the heads independently, so that electronic weighers used under different brands and different working conditions are integrated, controlled and integrally displayed, and further, the data of the scales of the electronic weighers are stored, collected, analyzed and processed for guiding production, and the service quality and the level of a bulk cargo port are improved; the invention realizes integration, overall management and integrated display of electronic scales of different brands used under different working conditions, is easy for subsequent compatible expansion, integrates and displays all electronic scale data in the central control room and transmits the ground belt scale data at the front edge of the loading wharf to the arm frame scale table of the bucket wheel machine, thereby not only improving the subjective motility of a bucket wheel machine driver and guiding the bucket wheel machine driver to complete a loading operation task, but also effectively reducing the labor intensity of workers in the central control room, reducing the times of loading and controlling materials, realizing one-time material control and loading, improving the energy utilization efficiency and the service quality, and achieving the purposes of reducing cost, improving quality and increasing efficiency. The invention can also be fused with a process shipment automation system, and provides scientific data support for the construction and optimization of the automation system, thereby improving the intelligent production management level of the bulk cargo port, changing the traditional production mode which depends on more manpower to the intelligent production mode, reducing the participation and intervention of personnel in the process of flow operation, reducing the incidence rate of accidents, improving the production safety coefficient, and providing powerful technical support for the exploration and construction of the intelligent port.
Drawings
Fig. 1 is a schematic structural diagram of a control system for bulk cargo terminal with regard to belt scale orchestration assistance according to the present invention;
fig. 2 is a work flow chart of a control method of the bulk cargo terminal about belt scale overall assistance according to the invention;
FIG. 3 is a modular schematic of virtualization software to which the present invention relates;
FIG. 4 is a schematic diagram of the resource pool, the virtual machine operating platform and the virtual machine according to the present invention;
description of reference numerals:
a gateway device 1; an application server 2; loading a belt scale 3 on the ground along the front edge of the wharf; a bucket wheel machine arm frame scale 4; a cloud network server 5; a virtual machine 6; an operating system 21; virtualization software 22; a field data resource pool 23; a virtual mapping resource pool 24; a cloud mapping resource pool 25; a virtual machine operating platform 211; the underlying virtual run system 212; a field electronic scale resource management module 221; a data processing deployment module 222; an instruction input management module 223; a virtual machine overall management module 224; a front-end monitoring module 225; a belt scale management module 226 along the ground before the loading dock; a belt scale management module 227 along the ground in front of the ship unloading wharf; a network forwarding module 228; the remote cloud view management module 229.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be further clearly and completely described below with reference to the embodiments of the present invention. It should be noted that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
It is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", and the like, are used in an orientation or positional relationship indicated based on the orientation or positional relationship shown in the drawings for convenience in describing the present invention and simplicity in description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
The terms "first," "second," "third," "fourth," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, the definitions of "first", "second", "third", "fourth" features may explicitly or implicitly include one or more of such features.
Example 1
As shown in fig. 1-4:
the embodiment provides a control method for bulk cargo wharf about belt weigher overall planning assistance, which is applied to a wharf electronic scale communication service system, wherein the wharf electronic scale communication service system comprises a gateway device 1, an application server 2, a loading dock frontier ground belt weigher 3, a bucket wheel machine arm support weigher 4 and a cloud end network server 5, the application server 2, the loading dock frontier ground belt weigher 3 and the bucket wheel machine arm support weigher 4 are communicated with each other through the gateway device 1, the application server 2 is communicated with the cloud end network server 5, and the control method comprises the following steps:
s1, inputting a control instruction related to ship loading real-time flow operation or ship unloading real-time flow operation;
s2, the application server 2 receives and processes the relevant control instruction input in the S1;
s3, the bucket wheel machine arm support scale 4 sends physical information of the bucket wheel machine arm support scale 4 corresponding to the real-time flow operation of the loading and unloading ship to the gateway device 1, and receives an accumulated quantity reset instruction sent by the gateway device 1 and physical information of the belt scale 3 on the ground at the front edge of the loading and unloading wharf corresponding to the real-time flow operation of the loading and unloading ship;
s4, the gateway device 1 centrally packages the received data information from the bucket wheel machine arm support scale 4 or the application server 2, and respectively sends the packaged data packets to the cloud network server 5 and the bucket wheel machine arm support scale 4;
s5, the cloud network server 5 and/or the bucket wheel machine arm frame scale 4 collect, analyze and process the received data packets and send the data packets to the application server 2;
s6, the ground belt scale 3 at the front edge of the loading dock sends the data of the ground belt scale to the application server 2 and receives an accumulated amount reset instruction sent by the application server 2;
and S7, the application server 2 processes the data received in the S6 and displays and outputs the data processing result.
Further, before S1, the control method further includes:
s100, installing an operating system 21 and virtualization software 22 in the application server 2;
the operating system 21 is used for realizing the cooperative management and integrated display of all process belt weighers of the bulk cargo terminal; in addition, the operating system receives and analyzes and processes required data according to self requirements by utilizing virtualization software, calls the data and completes the centralized display, zero calibration and peeling functions of all process belt scales and the comparison and inspection functions of the arm frame scale of the bucket wheel machine and the ground belt scale at the front edge of the loading and docking wharf in the loading and docking process operation;
the virtualization software 22 is used to integrate the scale data and the virtualized application server 2.
Specifically, the wharf electronic scale communication service system of the embodiment further comprises a liquid crystal touch display connected with the cloud network server 5, and the serial number of the equipment, the brand and the model of the electronic scale, the belt length, the instantaneous flow, the accumulated ton data and the like are displayed on the liquid crystal touch display in real time; the liquid crystal touch display connected with the application server has the functions of operation weighing early warning, statistics, information inquiry and measurement verification, and the operation weighing early warning has the functions of over-flow, proportion overrun and over-ton alarm prompt for the system. When the instantaneous flow of the belt exceeds the rated flow, the display information exceeding the rated flow must be popped out from the flow display frame of the corresponding belt, the information is continuously kept for three minutes and automatically disappears after three minutes; when the contrast value of the belt loading and transferring and metering double scales exceeds 1 percent, a voice alarm is sent out; when the loading capacity reaches a set value quickly, the voice prompt pre-alarm can be given, and when the loading flow reaches the set value, a higher-level voice alarm can be given; the statistics and information query is that the system can query operation information according to time periods, barge names and the like, generate an operation amount information statistics report, a flow curve report and an over-flow information report, and can save and derive PDFs and the like (the bulk cargo wharf does not stop operation for 24 hours and is divided into two shifts, and the operation system is performed for 12 hours in each shift, wherein the daily shift is from 00 to 20, and the night shift is from 20: generating a flow curve in the form of each shift (day shift: 8:00-20:00 night shift 20-8 next day); the functions of generating PDF format files, storing and printing are provided; workload information: the information is generated in the form of each shift (day shift: 8-00: 00-20 00 night shift 20-00) and is displayed after a central control room worker selects the date, shift, machine number and barge name); the functions of generating PDF format files, storing and printing are provided; and (3) super-flow information: the method is generated in the form of each class (day class: 8-20: 00 night class 20-00-8 next day), wherein the number and the times of the over-flow operation are listed in detail, the start-stop time of each over-flow operation and the accumulated time length (calculated by taking seconds as a unit, and can be ignored when less than 10 seconds are less) are provided for a central control room worker to select the date and display after the class; and has the functions of generating PDF format file, storing and printing.
Specifically, the control system for the bulk cargo terminal with regard to the overall planning assistance of the belt weigher of the embodiment displays all belt electronic weigher information which is integrally managed in a unified manner on the same interface of the liquid crystal touch display, and meanwhile, a central control room worker can also select the information of the ground belt electronic weigher involved in the loading and unloading operation to be monitored and displayed on the same interface.
Specifically, the gateway device communicates with the application server, the bucket wheel machine arm frame scale and the cloud network server through an LORA or 5G communication protocol, so that the system can adapt to complex and severe use conditions of a wharf well, avoids the influence of a stock pile in a stock yard on communication, is convenient to install and maintain, and is low in energy consumption.
In this embodiment, the control method further includes, between S1 and S100:
s200, the application server 2 collects the received electronic scale data in a shared hard disk simulated by the virtualization software 22;
s300, the virtualization software 22 receives and analyzes the data required by the user according to the self requirement, and stores the analyzed and processed data required by the user into the simulated shared hard disk again;
s400, the operating system 21 calls the data required by the user and stored in the S200, and completes the centralized display function and the zero calibration and peeling function of all the process belt scales and the comparison and inspection function of the arm frame scale 4 of the bucket wheel machine and the ground belt scale 3 at the front edge of the loading and docking station in the loading and docking process operation;
and the virtualization software 22 calls the data required by the user stored in S200, and sends the data of the dock-frontage ground belt weigher 3 to the cloud network server 5.
Further, in this embodiment, the application server 2 forms a plurality of virtual machines 6 (specifically, VM virtual machines); the operating system 21 comprises a virtual machine operating platform 211 and an underlying virtual running system 212;
the virtual machine operation platform 211 is used as an ecological environment established on a bottom virtual operation platform for providing normal operation for the virtual machine 6, and is used for mapping the virtual machine 6 and completing overall electronic scale management and control;
the bottom virtual operating system 212 is configured to pool the physical hardware of the application server 2; in addition, the bottom virtual operating system 212 is further configured to pool physical hardware resources of the application server to form a plurality of resource pools with independent CPU, memory, network and storage resources, where the resource pools are in network communication.
Further, in this embodiment, the bottom virtual operating system 212 pools the hardware resources of the application server 2, so as to obtain the field data resource pool 23, the virtual mapping resource pool 24, and the cloud mapping resource pool 25; the field data resource pool 23 is a resource integration pool for storing, processing and calling functions of the set of input instructions, and is used for calling data processed by the field electronic scale resource management module 221 and the instruction input module; the virtual mapping resource pool 24 is a field centralized control resource pool which integrally controls the storage, operation and integrated display process of the resources of the virtual machine 6, and is used for performing data mapping on the processed field electronic scale data and external input instructions in the field data resource pool 23 and allowing calling; the cloud mapping resource pool 25 is used as a resource pool for realizing remote cloud viewing; and the three resource pools are subjected to data interaction through a network.
In this embodiment, the virtualization software 22 includes an on-site electronic scale resource management module 221, a data processing deployment module 222, an instruction input management module 223, a virtual machine overall management module 224, a front-end monitoring module 225, a loading dock front-edge ground belt scale management module 226, an unloading dock front-edge ground belt scale management module 227, a network forwarding module 228, and a remote cloud viewing management module 229;
the on-site electronic scale resource management module 221 is configured to collect, analyze, process, decode, and compile on-site electronic scale data, and send the on-site electronic scale data to the data processing and allocating module 222;
the data processing and allocating module 222 is a transit mediation site of data, the data processing and allocating module 222 is respectively connected with the virtual machine overall planning management module 224 and the network forwarding module 228, and the data processing and allocating module 222 is configured to issue resources required by the front-end monitoring module 225 to the virtual machine overall planning management module 224 and send data compiled and processed by the on-site electronic scale and data for overall planning and control of the virtual machine 6;
the instruction input management module 223 is configured to decode and compile an external input instruction, and send instruction data to the data processing and allocating module 222; specifically, all process numbers of ship loading processes or ship unloading processes are stored in the system virtual pool in advance, and when the instruction input management module receives relevant process starting information, the process numbers and the belt scale numbers of the front edge of the ship unloading loading dock started by the ship unloading process are screened for subsequent overall control and integrated display;
the virtual machine overall management module 224 is configured to call mapping data in the virtual mapping resource pool 24 of the virtual ecological virtual pool;
the front-end monitoring module 225 is configured to call mapping data in the virtual machine overall planning management module 224, send processing results to the ship loading dock front-edge ground belt scale management module 226 or the ship unloading dock front-edge ground belt scale management module 227, and send the processed data to the cloud mapping resource pool 25; moreover, the front-end monitoring module 225 is configured to send the processed mapping data to the loading dock front edge ground belt scale management module 226 and the unloading dock front edge ground belt scale management module 227, and at the same time, the front-end monitoring module 225 also sends the processed data to the cloud mapping resource pool 25;
the shipping dock frontage ground belt scale management module 226 is used for analyzing and processing data obtained from the front end monitoring module 225 by using a shipping process scheduling and deployment strategy; moreover, the belt scale management module 226 is used for processing real-time operation information related to the electronic scale in the shipping process according to a method for fusion judgment and extraction of multi-element process operation information and a user's overall planning management requirement on the electronic scale in the shipping process field; specifically, the shipping process comprises: the upper computer of the central control room selects a ship loading process, the process number is sent to a central control room centralized control CPU through a communication link, the CPU process is started to confirm, the field process is started to confirm safely, and the process is started: the method comprises the following steps of (1) starting a dock ship loader, starting a ground belt, and starting a yard bucket wheel machine, so that the process of dredging bulk cargos from a yard to a barge is completed;
the ship unloading wharf front-edge ground belt scale management module 227 is used for analyzing and processing data obtained from the front-end monitoring module 225 by using a ship unloading process scheduling and deployment strategy; specifically, the ship unloading process comprises the following steps: the upper computer of the central control room selects an unloading process, the process number is sent to a central control room centralized control CPU through a communication link, the CPU process is started to confirm, the field process is started to confirm safely, and the process is started: starting a bucket wheel machine of the storage yard, starting a ground belt, and starting a ship unloader so as to finish the process of loading and unloading bulk cargos from a large ship to the storage yard;
the network forwarding module 228 is configured to assist the remote cloud viewing management module 229 in forwarding data in network communication;
the remote cloud viewing management module 229 is configured to utilize an intranet (specifically, a company intranet) and the cloud network server 5 to upload mapping data in the cloud mapping resource pool 25 and store the mapping data in the cloud mapping resource pool to the cloud network server 5 by means of the network forwarding module 228, so that a cloud user can know real-time operation information of the on-site electronic scale and/or production conditions of on-site ship loading and unloading by means of cloud APP application.
In this embodiment, the bottom virtual operating system 212 is further configured to apply real-time operation data of the on-site electronic scale processed by the on-board dock leading-edge ground belt scale management module 226 and the off-board dock leading-edge ground belt scale management module 227, and display operation information about overall electronic scale management and control in the virtual machine 6 through the virtual machine operating platform 211, so as to monitor the on-site operation progress in real time.
In this embodiment, S7 further includes the following sub-steps:
s71, the front-end monitoring module 225 receives an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is judged to be a ship loading flow, the ship loading wharf front-edge ground belt scale management module 226 starts to put into use, and the received instruction is processed by utilizing a ship loading flow scheduling and deploying strategy;
if the ship unloading process is judged, the belt scale management module 227 on the ground in front of the ship unloading wharf starts to be put into use, and the received instruction is processed by using a ship loading process scheduling and deploying strategy;
s72, in the shipping process, the shipping wharf front edge ground belt scale management module 226 judges and extracts the shipping process to be operated and relevant electronic scales based on the multivariate data types of different operation processes, and then analyzes and processes to obtain real-time operation data of the electronic scales on the shipping process site needing overall management and control; specifically, the related electronic scales comprise a bucket wheel machine arm support scale at the front end of the ship loading process and a ground belt scale at the tail end of the ship loading process; each flow serial number stored in the storage pool corresponds to the ground belt weigher at the front edge of the shipping wharf and the corresponding arm frame weigher of the bucket wheel machine one by one, namely once the flow is selected, which one of the ground weigher at the front edge of the shipping wharf and the arm frame weigher of the bucket wheel machine is selected can be determined;
s73, in the ship unloading process, the belt scale management module 227 on the ground in the front edge of the ship unloading wharf judges and extracts the to-be-operated unloading process and relevant electronic scales based on the multivariate data types of different operation processes, and then the real-time operation data of the electronic scales on the ship unloading process site needing overall management and control are obtained through analysis and processing; specifically, the related electronic scales comprise a bucket wheel machine arm support scale at the front end of the ship loading process and a ground belt scale at the tail end of the ship loading process; each process number stored in the storage pool corresponds to a belt scale on the ground at the front edge of the ship unloading wharf one by one, namely once the process is selected, the selected ship unloading wharf front edge ground scale can be determined;
s74, the front-end monitoring module 225 maps the data streams of different processes to the kernel module of the virtual machine 6 in the virtualization layer, and configures parallel queues; then, checking the data transmission condition of the operation flow in real time, optimizing the transmission weight according to the load condition of the data flow, and adaptively adjusting and optimizing; the different processes comprise a ship loading process and a ship unloading process.
As shown in fig. 1:
the embodiment also provides a control system for the belt conveyor scale overall planning assistance of the bulk cargo terminal, which comprises a gateway device 1, an application server 2, a loading dock frontier ground belt conveyor scale 3, a bucket wheel machine arm support scale 4 and a cloud network server 5, wherein the application server 2, the loading dock frontier ground belt conveyor scale 3 and the bucket wheel machine arm support scale 4 are communicated with each other through the gateway device 1, and the application server 2 is communicated with the cloud network server 5; an operating system 21 and virtualization software 22 are installed in the application server 2; the operating system 21 software is used for realizing the cooperative management and integrated display of all the belt weighers in the bulk cargo wharf; the application server 2 forms a plurality of virtual machines 6; the operating system 21 comprises a virtual machine operating platform 211 and an underlying virtual running system 212; the virtual machine operation platform 211 is used as an ecological environment established on a bottom virtual operation platform for providing normal operation for the virtual machine 6, and is used for mapping the virtual machine 6 and completing overall electronic scale management and control; the bottom virtual operating system 212 is configured to pool the physical hardware of the application server 2; the bottom virtual operating system 212 pools the hardware resources of the application server 2, so as to obtain a field data resource pool 23, a virtual mapping resource pool 24 and a cloud mapping resource pool 25; the field data resource pool 23 is a resource integration pool for storing, processing and calling functions of the set of input instructions, and is used for calling data processed by the field electronic scale resource management module 221 and the instruction input module; the virtual mapping resource pool 24 is a field centralized control resource pool which is used for comprehensively controlling the storage, operation and integrated display process of the resources of the virtual machine 6, and is used for carrying out data mapping on the processed field electronic scale data and external input instructions in the field data resource pool 23 and allowing calling; the cloud mapping resource pool 25 is used as a resource pool for realizing remote cloud viewing; the virtualization software 22 comprises a field electronic scale resource management module 221, a data processing and allocating module 222, an instruction input management module 223, a virtual machine overall planning management module 224, a front-end monitoring module 225, a loading dock frontage ground belt scale management module 226, an unloading dock frontage ground belt scale management module 227, a network forwarding module 228 and a remote cloud checking management module 229;
the on-site electronic scale resource management module 221 is configured to collect, analyze, process, decode, and compile on-site electronic scale data, and send the on-site electronic scale data to the data processing and allocating module 222; the data processing and allocating module 222 is a transit mediation site of data, the data processing and allocating module 222 is respectively connected with the virtual machine overall planning management module 224 and the network forwarding module 228, and the data processing and allocating module 222 is configured to issue resources required by the front-end monitoring module 225 to the virtual machine overall planning management module 224 and send data compiled and processed by the on-site electronic scale and data for overall planning and control of the virtual machine 6; the instruction input management module 223 is configured to decode and compile an external input instruction, and send instruction data to the data processing and allocating module 222; the virtual machine overall management module 224 is configured to call mapping data in the virtual mapping resource pool 24 of the virtual ecological virtual pool; the front-end monitoring module 225 is configured to call mapping data in the virtual machine overall planning management module 224, send processing results to the ship loading dock front-edge ground belt scale management module 226 or the ship unloading dock front-edge ground belt scale management module 227, and send the processed data to the cloud mapping resource pool 25; the shipping wharf frontage ground belt scale management module 226 is used for analyzing and processing data obtained from the front-end monitoring module 225 by using a shipping process scheduling and deployment strategy; the ship unloading wharf front-edge ground belt scale management module 227 is used for analyzing and processing data obtained from the front-end monitoring module 225 by using a ship unloading process scheduling and deployment strategy; the network forwarding module 228 is configured to assist the remote cloud viewing management module 229 to forward data in network communication; the remote cloud check management module 229 is configured to upload and store mapping data in the cloud mapping resource pool 25 to the cloud network server 5 by using the intranet and the cloud network server 5 through the network forwarding module 228, so that a cloud user can know real-time operation information of the on-site electronic scale and/or production conditions of the on-site ship loading and unloading through a cloud APP application.
Specifically, the control system for the belt weigher overall planning assistance of the bulk cargo terminal is applied to a data processing center, the data processing center is a data collection processing center which can be set up by self according to user requirements and actual working conditions on site, and the data collection processing center is set up by adopting a high-performance application server 2, preset virtualization software 22 and an operating system 21; configuration of the high performance application server 2: not lower than the strong silver plate, double CPU, each CPU has at least 10 cores; memory: 4 × 32gb; power supply: the dual power supplies support hot plugging; a network port: 2 × 10gbe port, 4 × 1gbe port; the running speed and the computing capacity are increased, and conditions are provided for subsequent expansion; the data processing center can provide an interface for the outside, the data storage safety reaches RAID10 level, and the data safety is ensured; software subfunctions with more data processing are deployed in a data processing center, so that the calculation amount of a core automatic program physical machine is reduced, and the rapidity of program data processing in an automatic system is ensured; the software subfunctions are deployed in a data processing center, and a virtualization server storage system is stable and the virtual system is reproducible, so that the easy migration of the data system is ensured; the software subfunction is deployed in the data processing center, so that the storage space can be flexibly expanded, and the expansibility of data storage is ensured.
Specifically, the software of the operating system 21 is an operating system for realizing the cooperative control and integrated display of all process belt weighers of the bulk cargo wharf, the operating system 21 adopts a VMware Esxi operating system as a bottom virtual operating system and pools physical hardware resources of a computing server to form a plurality of resource pools with independent CPUs, memories, networks and storage resources, and the resource pools are communicated by networks; and a common computer operating system such as windows10 is used as a virtual machine operating platform 211, the virtual machine 6 is mapped on the virtual machine operating platform, and overall management and control of all electronic scales are completed.
Specifically, the administrator instruction and the central control room centralized control instruction are issued to the application server 2 through the data link, the application server 2 uses the bottom virtual operating system 212 to pool the physical hardware resources, and the resource pool is divided into three: a field data resource pool 23, a virtual mapping resource pool 24 and a cloud mapping resource pool 25; the field data resource pool 23, the virtual mapping resource pool 24 and the cloud mapping resource pool 25 are all provided with independent CPUs, memories, networks and storage resources, data interaction is performed among the storage pools through the networks, data transmission network isolation can be achieved, data transmission safety and system stability are improved, the virtual machine operation platform provides an ecological environment which can normally run for the virtual machine 6 and is established on a bottom virtual operation platform, and windows10 is commonly used; the virtual machine 6 shares the CPU, the memory, the network and the storage resources of the virtual mapping resource pool 24, the virtual machine 6 may be displayed in a single picture or in multiple pictures on the monitoring display unit, or a virtual interface may be displayed on a display, and a user may perform a picture-division or screen-division display as required, thereby achieving a function of overall management and control of all electronic scales.
Specifically, the control system for the bulk cargo wharf with regard to the overall belt scale planning assistance is applied to a data processing center, the data processing center collects received electronic scale data in a resource pool planned by preset virtualization software 22 in a high-performance server, the operating system receives and analyzes and processes required data according to self requirements by utilizing the virtualization software 22, all virtual machines 6 running on the operating system share the CPU, the memory, the network and the storage resources of the whole resource pool and the required data of a user obtained after processing, the operating system calls the data, completes the centralized display, the zero calibration and peeling functions of all the belt scales, and the comparison and inspection functions of the bucket wheel arm frame scales 4 and the ground belt scales 3 at the front edges of the loading wharfs in the loading and docking flow operation, achieves the effect of guiding production, the remote viewing management module 229 in the virtualization software 22 also calls the data in the resource pool after processing, and sends the flow scale network server 5 with the cloud data according to different conditions of APP management, user remote viewing production operation conditions, improving the cloud service coordination and production efficiency and cloud service quality.
Specifically, the instruction input management module 223 is connected to the data processing and allocating module 222, and is configured to capture an input instruction of a user using a mouse and a keyboard, including issuing a zero calibration instruction and a peeling instruction of all electronic scales on a site;
the virtual machine overall planning management module 224 is connected to the front-end monitoring module 225, and is capable of sending supervision data required by the electronic scale overall planning management and control system to the front-end monitoring module 225;
the front end monitoring module 225 is respectively connected 227 with a belt scale management module 226 on the ground along the front edge of the loading dock and a belt scale management module on the ground along the front edge of the unloading dock;
the front end monitoring module 225 can identify the received data and allocate a ship loading wharf front edge ground belt scale management module 226 and a ship unloading wharf front edge ground belt scale management module 227 in parallel according to the functional queues;
the loading dock front ground belt scale management module 226 is a data processing and monitoring unit displayed at the front end of the loading process operation, and the unloading dock front ground belt scale management module 227 is a data processing and monitoring unit displayed at the front end of the unloading process operation;
the network forwarding module 228 is connected to the data processing and allocating module and the front-end monitoring module, respectively, and is configured to forward the on-site electronic scale, the data compiled and processed by the operation process, and the front-end monitoring module 225 to overall schedule management and control information;
the remote cloud check management module 229 is connected with the network forwarding module 228, completes data uploading to the cloud by means of the company intranet and the cloud network server 5, performs classified editing and processing according to different user grades according to individual requirements, and displays data from the field electronic scale resource management module 221 on the cloud application;
the cloud application will obtain and display corresponding data in the remote cloud viewing management module 229 according to different user classes (general users, administrators, operators); wherein the data processing flow of the shipping dock leading edge ground belt scale management module 226 comprises the following physical quantities related to functions: instantaneous flow (t/h), cumulative flow (t), belt speed (m/s), loading start-stop time, loading efficiency (t/h), the processing data of the belt scale management module 227 along the ground before the ship unloading wharf includes: instantaneous flow (t/h), accumulated ship unloading amount (t), belt speed (m/s), ship unloading starting and stopping time, ship unloading efficiency (t/h), and a remote cloud check management module (comprising cloud APP operation, setting, login and user management).
Example 2
As shown in fig. 1-2:
the embodiment provides a control method for bulk cargo wharf about belt weigher overall planning assistance, which is applied to a wharf electronic scale communication service system, wherein the wharf electronic scale communication service system comprises a gateway device 1, an application server 2, a loading dock frontier ground belt weigher 3, a bucket wheel machine arm support weigher 4 and a cloud end network server 5, the application server 2, the loading dock frontier ground belt weigher 3 and the bucket wheel machine arm support weigher 4 are communicated with each other through the gateway device 1, the application server 2 is communicated with the cloud end network server 5, and the control method comprises the following steps:
s1, inputting a control instruction related to ship loading real-time flow operation or ship unloading real-time flow operation;
s2, the application server 2 receives and processes the relevant control instruction input in the S1;
s3, the bucket wheel machine arm support scale 4 sends physical information of the bucket wheel machine arm support scale 4 corresponding to the real-time flow operation of the loading and unloading ship to the gateway device 1, and receives an accumulated quantity reset instruction sent by the gateway device 1 and physical information of the belt scale 3 on the ground at the front edge of the loading and unloading wharf corresponding to the real-time flow operation of the loading and unloading ship;
s4, the gateway device 1 centrally packages the received data information from the bucket wheel machine arm support scale 4 or the application server 2, and respectively sends the packaged data packets to the cloud network server 5 and the bucket wheel machine arm support scale 4;
s5, the cloud network server 5 and/or the bucket wheel machine arm frame scale 4 collect, analyze and process the received data packets and send the data packets to the application server 2;
s6, the ground belt scale 3 at the front edge of the loading dock sends the data of the ground belt scale to the application server 2 and receives an accumulated amount reset instruction sent by the application server 2;
and S7, the application server 2 processes the data received in the S6 and displays and outputs the data processing result.
In this embodiment, S7 further includes the following sub-steps:
s701, receiving an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is a ship loading flow, starting a ship loading flow scheduling and deploying strategy function, and if the input instruction is a ship unloading flow, starting a ship unloading flow scheduling and deploying strategy function;
s702, judging and extracting the loading and unloading process to be operated and the related electronic scale based on the multivariate data types of different operation processes;
s703, mapping the data streams of different processes to the kernel module of the virtual machine in the virtualization layer, and configuring parallel queues to realize the isolation and management of the simultaneous execution of different task processes and the network security transmission;
and S704, checking the data transmission condition of the operation flow in real time, optimizing the transmission weight according to the load condition of the data flow, and performing self-adaptive adjustment and optimization.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. The control method for the bulk cargo wharf about the belt weigher overall planning assistance is characterized by being applied to a wharf electronic weigher communication service system, wherein the wharf electronic weigher communication service system comprises a gateway device (1), an application server (2), a loading wharf frontage ground belt weigher (3), a bucket wheel machine arm frame weigher (4) and a cloud end network server (5), the application server (2), the loading wharf frontage ground belt weigher (3) and the bucket wheel machine arm frame weigher (4) are communicated with each other through the gateway device (1), the application server (2) is communicated with the cloud end network server (5), and the control method comprises the following steps:
s1, inputting a control instruction related to ship loading real-time flow operation or ship unloading real-time flow operation;
s2, the application server (2) receives and processes the relevant control instruction input in the S1;
s3, the bucket wheel machine arm support scale (4) sends physical information of the bucket wheel machine arm support scale (4) corresponding to the real-time flow operation of the loading and unloading ship to the gateway device (1), and receives an accumulated quantity reset instruction sent by the gateway device (1) and physical information of the belt scale (3) on the ground at the front edge of the loading and unloading wharf corresponding to the real-time flow operation of the loading and unloading ship;
s4, the gateway device (1) packages the received data information from the arm support scale (4) of the bucket wheel machine or the application server (2) in a centralized mode, and sends the packaged data packets to the cloud network server (5) and the arm support scale (4) of the bucket wheel machine respectively;
s5, the cloud network server (5) and/or the bucket wheel machine arm frame scale (4) collect, analyze and process the received data packets and send the data packets to the application server (2);
s6, the ground belt weigher (3) at the front edge of the loading dock sends data of the ground belt weigher to the application server (2) and receives an accumulated quantity zero clearing instruction sent by the application server (2);
and S7, the application server (2) processes the data received in the S6 and displays and outputs the data processing result.
2. The method for controlling the collective assistance of the belt weighers in the bulk cargo terminal of claim 1, wherein before S1, the method further comprises:
s100, installing an operating system (21) and virtualization software (22) in an application server (2);
the operating system (21) is used for realizing the cooperative management and integrated display of all process belt weighers of the bulk cargo terminal;
the virtualization software (22) is used for the integrated management of scale data and virtualized application servers (2).
3. The method for controlling the collective assistance of the belt weighers in the bulk cargo terminal of claim 2, wherein the method further comprises, between S1 and S100:
s200, the application server (2) collects the received electronic scale data in a shared hard disk simulated by virtualization software (22);
s300, the virtualization software (22) receives and analyzes the data required by the user according to the self requirement, and stores the analyzed and processed data required by the user into the retro-simulated shared hard disk again;
s400, the operating system (21) calls the data required by the user and stored in the S200 and completes the centralized display function and the zero calibration and peeling function of all the process belt scales and the comparison and inspection function of the bucket wheel machine arm frame scale (4) and the ground belt scale (3) on the front edge of the loading dock in the loading and unloading process operation;
and the virtualization software (22) calls the data required by the user and stored in the S200, and sends the data of the ground belt weigher (3) at the front edge of the loading dock to the cloud network server (5).
4. Control method of bulk terminal belt scale pooling assistance according to claim 2, characterized in that said application server (2) forms several virtual machines (6); the operating system (21) comprises a virtual machine operating platform (211) and an underlying virtual run system (212);
the virtual machine operation platform (211) is used for providing an ecological environment for the virtual machine (6) to normally run, and is used for mapping the virtual machine (6) and completing overall management and control of all electronic scales;
the underlying virtual run system (212) is configured to pool the physical hardware of the application server (2).
5. The control method for belt scale orchestration assistance at a bulk terminal according to claim 4, wherein the underlying virtual run system (212) pools hardware resources of an application server (2) to obtain a field data resource pool (23), a virtual mapping resource pool (24) and a cloud mapping resource pool (25); the field data resource pool (23) is a resource integration pool with functions of storing, processing and calling a set of input instructions and is used for calling data processed by a field electronic scale resource management module (221) and an instruction input module; the virtual mapping resource pool (24) is a field centralized control resource pool which integrally controls the storage, operation and integrated display process of the resources of the virtual machine (6), and is used for carrying out data mapping on the processed field electronic scale data and external input instructions in the field data resource pool (23) and allowing calling; the cloud mapping resource pool (25) is used as a resource pool for realizing remote cloud viewing.
6. The control method for bulk cargo terminal belt scale coordination assistance according to claim 4, characterized in that the virtualization software (22) comprises a field electronic scale resource management module (221), a data processing and allocating module (222), an instruction input management module (223), a virtual machine coordination management module (224), a front end monitoring module (225), a loading dock frontier ground belt scale management module (226), an unloading dock frontier ground belt scale management module (227), a network forwarding module (228) and a remote cloud viewing management module (229);
the field electronic scale resource management module (221) is used for summarizing, analyzing, processing, decoding and compiling the field electronic scale data and sending the field electronic scale data to the data processing and allocating module (222);
the data processing and allocating module (222) is a data transfer and distribution site, the data processing and allocating module (222) is respectively connected with the virtual machine overall management module (224) and the network forwarding module (228), and the data processing and allocating module (222) is used for issuing resources required by the front-end monitoring module (225) to the virtual machine overall management module (224) and sending data compiled and processed by the on-site electronic scale and data managed and controlled by the virtual machine (6);
the instruction input management module (223) is used for decoding and compiling external input instructions and sending instruction data to the data processing and allocating module (222);
the virtual machine overall management module (224) is used for calling mapping data in a virtual mapping resource pool (24) of a virtual ecological virtual pool;
the front-end monitoring module (225) is used for calling mapping data in the virtual machine overall management module (224), sending processing results to the ship loading wharf frontage ground belt scale management module (226) or the ship unloading wharf frontage ground belt scale management module (227) respectively, and sending the processed data to the cloud mapping resource pool (25);
the shipping wharf frontage ground belt scale management module (226) is used for analyzing and processing data obtained from the front-end monitoring module (225) by applying a shipping process scheduling and deploying strategy;
the ship unloading wharf front-edge ground belt scale management module (227) is used for analyzing and processing data obtained from the front-end monitoring module (225) by using a ship unloading process scheduling and deploying strategy;
the network forwarding module (228) is used for assisting the remote cloud viewing management module (229) in network communication and data forwarding;
the remote cloud checking management module (229) is used for uploading and storing mapping data in the cloud mapping resource pool (25) to the cloud network server (5) by means of the network forwarding module (228) and the internal network and cloud network server (5), so that a cloud user can know real-time operation information of the on-site electronic scale and/or the production condition of the on-site ship loading and unloading by means of cloud APP application.
7. The control method for bulk cargo terminal belt scale orchestration assistance according to claim 6, wherein the bottom virtual operation system (212) is further configured to apply real-time operation data of the on-site electronic scale processed by the loading dock frontage ground belt scale management module (226) and the unloading dock frontage ground belt scale management module (227), and display operation information about electronic scale orchestration management and control in the virtual machine (6) through the virtual machine operation platform (211), so as to monitor the on-site operation progress in real time.
8. The control method for bulk cargo terminal with regard to belt scale orchestration assistance according to claim 6, wherein S7 comprises the following sub-steps:
s71, the front-end monitoring module (225) receives an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is judged to be a ship loading flow, the ship loading wharf front-edge ground belt scale management module (226) starts to put into use, and the received instruction is processed by utilizing a ship loading flow scheduling and deploying strategy;
if the ship unloading process is judged, a ship unloading wharf front ground belt scale management module (227) starts to be put into use, and a ship loading process scheduling and deploying strategy is applied to process the received instruction;
s72, in the shipping process, the belt scale management module (226) on the ground at the front edge of the shipping wharf judges and extracts the shipping process to be operated and relevant electronic scales based on the multivariate data types of different operation processes, and then analyzes and processes the data to obtain real-time operation data of the electronic scales on the site of the shipping process needing overall management and control;
s73, in the ship unloading process, the belt scale management module (227) on the ground at the front edge of the ship unloading wharf judges and extracts the to-be-operated ship unloading process and related electronic scales based on the multivariate data types of different operation processes, and then the real-time operation data of the electronic scales on the ship unloading process site needing overall management and control are obtained through analysis and processing;
s74, the front-end monitoring module (225) maps the data streams of different processes to the virtual machine kernel module in the virtualization layer, and configures parallel queues; then, checking the data transmission condition of the operation flow in real time, optimizing the transmission weight according to the load condition of the data flow, and adaptively adjusting and optimizing; the different processes comprise a ship loading process and a ship unloading process.
9. The method for controlling bulk cargo terminal belt scale staging assistance according to any one of claims 1 to 6, wherein S7 comprises the sub-steps of:
s701, receiving an input instruction of an administrator and a central control room centralized control center flow instruction, if the input instruction is a ship loading flow, starting a ship loading flow scheduling and deploying strategy function, and if the input instruction is a ship unloading flow, starting a ship unloading flow scheduling and deploying strategy function;
s702, judging and extracting the loading and unloading process to be operated and the related electronic scale based on the multivariate data types of different operation processes;
s703, mapping the data streams of different processes to the kernel module of the virtual machine in the virtualization layer, and configuring parallel queues to realize the isolation and management of the simultaneous execution of different task processes and the network security transmission;
s704, checking the data transmission condition of the work flow in real time, optimizing the transmission weight according to the load condition of the data flow, and adaptively adjusting and optimizing.
10. The control system for the bulk cargo wharf for the overall assistance of the belt weighers is characterized by comprising a gateway device (1), an application server (2), a loading wharf frontage ground belt weigher (3), a bucket wheel machine arm frame weigher (4) and a cloud network server (5), wherein the application server (2), the loading wharf frontage ground belt weigher (3) and the bucket wheel machine arm frame weigher (4) are communicated with one another through the gateway device (1), and the application server (2) is communicated with the cloud network server (5); the application server (2) forms a plurality of virtual machines (6); an operating system (21) and virtualization software (22) are installed in the application server (2); the software of the operating system (21) is used for realizing the cooperative management and integrated display of all the belt weighers in the bulk cargo wharf; the operating system (21) comprises a virtual machine operating platform (211) and an underlying virtual run system (212); the virtual machine operation platform (211) is used for providing an ecological environment for the virtual machine (6) to normally run, and is used for mapping the virtual machine (6) and completing overall management and control of all electronic scales; the bottom virtual operating system (212) is used for pooling the physical hardware of the application server (2); the bottom virtual running system (212) pools hardware resources of the application server (2), so that a field data resource pool (23), a virtual mapping resource pool (24) and a cloud mapping resource pool (25) are obtained; the field data resource pool (23) is a resource integration pool with functions of storing, processing and calling a set of input instructions and is used for calling data processed by a field electronic scale resource management module (221) and an instruction input module; the virtual mapping resource pool (24) is a field centralized control resource pool which is used for comprehensively controlling the storage, the operation and the integrated display of the resources of the virtual machine (6), and is used for carrying out data mapping on the processed field electronic scale data and external input instructions in the field data resource pool (23) and allowing calling; the cloud mapping resource pool (25) is used for realizing a resource pool for realizing remote cloud viewing; the virtualization software (22) comprises a field electronic scale resource management module (221), a data processing and allocating module (222), an instruction input management module (223), a virtual machine overall planning management module (224), a front-end monitoring module (225), a shipping wharf frontage ground belt scale management module (226), a shipping wharf frontage ground belt scale management module (227), a network forwarding module (228) and a remote cloud checking management module (229); the field electronic scale resource management module (221) is used for summarizing, analyzing, processing, decoding and compiling the field electronic scale data and sending the field electronic scale data to the data processing and allocating module (222); the data processing and allocating module (222) is a data transfer and distribution site, the data processing and allocating module (222) is respectively connected with the virtual machine overall planning management module (224) and the network forwarding module (228), and the data processing and allocating module (222) is used for issuing resources required by the front-end monitoring module (225) to the virtual machine overall planning management module (224) and sending data compiled and processed by the on-site electronic scale and data managed and controlled by the virtual machine overall planning; the instruction input management module (223) is used for decoding and compiling external input instructions and sending instruction data to the data processing and allocating module (222); the virtual machine overall management module (224) is used for calling mapping data in a virtual mapping resource pool (24) of a virtual ecological virtual pool; the front-end monitoring module (225) is used for calling mapping data in the virtual machine overall management module (224), sending processing results to the ship loading wharf frontage ground belt scale management module (226) or the ship unloading wharf frontage ground belt scale management module (227) respectively, and sending the processed data to the cloud mapping resource pool (25); the shipping wharf front-edge ground belt scale management module (226) is used for analyzing and processing data obtained from the front-end monitoring module (225) by applying a shipping process scheduling and deployment strategy; the ship unloading wharf front-edge ground belt scale management module (227) is used for analyzing and processing data obtained from the front-end monitoring module (225) by using a ship unloading process scheduling and deploying strategy; the network forwarding module (228) is used for assisting the remote cloud viewing management module (229) in network communication and data forwarding; the remote cloud checking management module (229) is used for uploading and storing mapping data in the cloud mapping resource pool (25) to the cloud network server (5) by means of the network forwarding module (228) and the intranet and cloud network server (5), so that a cloud user can know real-time operation information of the on-site electronic scale and/or production conditions of on-site ship loading and unloading by means of cloud APP application.
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