CN112947240A - Intelligent numerical control platform of traction system - Google Patents
Intelligent numerical control platform of traction system Download PDFInfo
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Abstract
A traction system intelligent numerical control platform relates to the technical field of suspension bridge main cable erection numerical control. The system comprises a perception transmission layer, a data analysis processing layer, a service application layer and a network transmission layer. The perception transmission layer monitors the operation of a traction system puller, deviation of a cable tower, temperature of a cable strand, on-site real-time images and operation of a winch, monitoring data are transmitted to the data analysis processing layer through LoRa communication or a directional bridge network to be calculated, analyzed and stored, meanwhile, the data analysis processing layer transmits the data to the cloud computing center to be further processed and calculated, a processing completion result is fed back to the business application layer, the business application layer builds visual data application management based on cloud computing service and a big data platform, and intelligent monitoring management service is provided according to specific business development. The platform can realize high efficiency of data transmission of the internet of things, comprehensive supervision of the running state, systemization of associated information processing and intellectualization of automatic control response.
Description
Technical Field
The invention relates to the technical field of numerical control for erection of main cables of suspension bridges, in particular to an intelligent numerical control platform of a traction system.
Background
The intellectualization of the construction control of the suspension bridge is embodied in that the monitoring of the structural state of the bridge, the real-time data acquisition, storage and analysis processing, the automatic calculation and determination of the elevation of the formwork erection of each construction beam section and the like are realized by combining the researched and developed construction control system software based on the engineering control theory with the advanced intelligent sensor and the like. The intelligent construction control system is an integrated body of an advanced network transmission technology, a construction control database, a construction control expert system and the like.
However, most of the intelligent bridge construction control software or systems researched and developed in China have certain limitations. Firstly, the application range is limited, most software can be only applied in a small range or even only on a certain bridge, and currently, no intelligent construction control software which can be widely and practically applied to a certain bridge type exists; secondly, the device has weak support and cannot keep up with the high-speed update of computer hardware and an operating system; thirdly, the degree of intellectualization is not high, a user needs to undertake larger calculation and analysis work, and the reliability and fault tolerance of software are poor; finally, the system programming idea is aged, which causes the system maintenance difficulty, is not easy to be rapidly upgraded and is not beneficial to the integrated development of software. Due to the limiting factors, no intelligent bridge construction control software can be popularized and applied in bridge construction in China. Therefore, the highly specialized and highly intelligent construction control system with high research and development integration level, strong operability, wide application range and high popularization rate has great significance for future bridge construction business in China. In addition, in order to support the realization of the highly intelligent control target of bridge construction, the development of a novel high-precision digital networking sensing instrument with strong adaptability and anti-interference capability is also of great importance.
Disclosure of Invention
The invention aims to carry out intelligent construction aiming at bridge construction, a set of traction system intelligent numerical control platform integrating real-time monitoring of key structure data, visual video monitoring of key construction operation scenes, automatic control of key equipment and statistical analysis is built, real-time information and historical information of a construction site can be conveniently known through a monitoring center, the actual operation condition of the construction site is intensively controlled, and resources are more reasonably scheduled according to monitoring records.
The technical scheme of the intelligent numerical control platform of the traction system is as follows,
traction system intelligence numerical control platform, including perception transmission layer, data analysis processing layer, business application layer, network transmission layer, wherein:
sensing a transmission layer: the system comprises a traction system dragger operation monitoring module, a cable tower deviation monitoring module, a cable strand temperature monitoring module, an on-site real-time image module, a winch operation monitoring module and a wind speed and direction monitoring module, wherein the modules are used for acquiring and gathering sensing data information and transmitting the sensing data to a data analysis and processing layer through a network transmission layer;
(II) a data analysis processing layer: the perception data transmitted by the perception transmission layer are transmitted to a public cloud, the public cloud computing center stores and processes the perception data, and the processing content comprises: calculating the running track speed of a puller of the traction system, calculating meteorological temperature measurement, calculating deviation of a tower cable, processing real-time image data of a construction focus, and monitoring a system network;
and (III) the service application layer comprises: the method comprises the steps that monitoring information, configuration information, auxiliary decision, a traction task center and statistical analysis are comprehensively and visually displayed and application service management is carried out through a public cloud, and multi-terminal interaction modes such as computer Web application, mobile terminal (mobile phone and Pad) APP application, large-screen display of the monitoring center and the like are further provided; also integrated with the BIM system interface;
(IV) network transport layer: the system comprises an LoRa communication network module and a wireless directional network bridge module; loRa communication network module: the system is used for realizing wireless communication data transmission between sensing data acquired by a traction system puller operation monitoring module, a cable strand temperature monitoring module and a wind speed and direction monitoring module and a data center module by adopting a low-power-consumption wide area network LoRa communication technology; wireless directional bridge module: and a low-power-consumption directional bridging communication technology is adopted for realizing wireless communication data transmission between the sensing data acquired by the cable tower deviation monitoring module, the field real-time image module and the winch operation monitoring module and the data center module.
Specifically, the specific working contents of the module for collecting and summarizing the sensing data information in the sensing transmission layer are as follows: (1) the operation monitoring module of the traction system puller comprises: monitoring real-time displacement of a puller in the traction system by using an RFID electronic tag, and calculating the acceleration and deceleration rate and positioning a track; (2) cable strand temperature monitoring module: the system is used for monitoring the temperature change data of the cable strand at a specific position where the cable strand is erected by utilizing a PT100 temperature measuring probe; (3) cable tower off normal monitoring module: the method comprises the steps that GNSS equipment is used for collecting space coordinates of measuring points for specific measuring point positions of a cable tower; (4) the on-site real-time image module: shooting a real-time image of the site construction by using a spherical high-definition camera; (5) the winch operation monitoring module: and acquiring running state data of the running equipment of the winch, and automatically controlling the linkage control of the traction, acceleration, deceleration and starting and stopping of the dragging device. The module comprises an OPC server, a winch device and an acquisition control system. The open interface of the OPC server is in communication connection with the winch PLC and performs data interaction, the winch PLC can report data such as the equipment state and the operation state of the winch to the OPC server according to set frequency, and the acquisition control system acquires the equipment state and the operation data of the PLC from the OPC server and transmits the data to the data analysis and processing layer through a wireless directional transmission network. The acquisition control system acquires the instruction issued by the data analysis processing layer in real time and transmits the instruction to the PLC of the winding machine so as to achieve the purpose of traction monitoring of the winding machine. (6) Wind speed and direction monitoring module: a wind speed and direction sensor is mounted on a cable tower and used for monitoring the wind speed and the wind direction of the day and acquiring sensing data of the wind speed and the wind direction.
Specifically, the system network monitoring presents the health condition of each link of the project network through a visual network topology diagram, and the health condition comprises: the smoothness of each network, the bandwidth utilization rate and the transmission rate; the system network monitoring module also reminds operation and maintenance personnel to adjust the optimized network by measuring the health condition and giving an early warning;
specifically, the management and control of the monitoring information includes: the method comprises the following steps of monitoring the operation of a dragging device of a traction system, monitoring the operation of a winch, monitoring deviation of a cable tower, imaging in real time on site, monitoring temperature of a cable strand and monitoring information of a system network.
Specifically, the management and control of the configuration information includes: user identity, authority management, operation log recording, report output and task response system basic management functions;
specifically, the management and control of the aid decision includes: the summary statistics shows the pre-alarm information of the early-warning rules of all the related subsystems of the trigger platform, the information retention is convenient to analyze the correlation between the standard exceeding of the monitoring indexes and the traction task, and the risk possibly existing in the traction process of the command center is reminded.
Specifically, the management and control of the traction task center includes: historical traction task data is inquired through a historical task number, a stock code and a time interval, task details can be consulted through clicking details, and a task occurrence process is traced back through a detail page.
Specifically, the management and control of statistical analysis includes: by utilizing a big data technology and carrying out statistical analysis on project data, a visual chart visually presents the overall data of the project, including cableway traction summary, working day summary, early warning and forecast information summary and traction task trend change.
The advantages of the invention can be derived from the above description:
1) the data transmission of the Internet of things is efficient: the system is operated in an integral mode, an Internet of things low-power-consumption wide area network LoRa communication network which effectively covers a project implementation site is deployed, the problem that monitoring data are difficult to transmit due to the fact that optical fiber broadband and 3G/4G wireless communication capabilities are poor is solved, and unified access and efficient transmission of data collected by all Internet of things sensing devices are achieved;
2) the supervision of the running state is comprehensive: the method mainly comprises the steps of carrying out data acquisition of the Internet of things according to real-time displacement of a puller in a traction system, judging the location and acceleration and deceleration rate of the puller in the operation process, simultaneously supporting automatic control system data access integration and data expansion and supplement of various sensing monitoring devices, acquiring system load and tension change, facility switch start-stop state, operation duration and energy consumption, cable pulling speed of a winch, multi-point temperature change of a cable, relative distance measurement and calculation, catwalk supporting and rolling operation conditions and the like, and providing multi-dimensional supervision and data decision support for the operation state of the whole system by matching with video image monitoring information;
3) making the associated information processing systematized: based on the high-efficiency data processing capacity of a cloud computing service and a big data platform, unified analysis of diversity information is realized, association analysis of various data is established, and by combining modes such as video images and contrast statistics, systematic processing of system operation data is realized in visual expression modes such as a visual data chart, a virtual scene display and an operation track according to supervision contents such as the operation state, the load condition, tension variation, displacement positioning, the operation track and emergency of a traction system, and unified interactive access and operation management are performed on various terminals;
4) the automatic control response is made intelligent: the system utilizes an autonomously developed Internet of things data acquisition control device (OPC server) to establish direct communication with a winch automatic control device (PLC), and realizes automatic control response of system supervision data change to running states of starting, closing, accelerating, decelerating and the like of corresponding facilities in a mode of programming instruction output, thereby reducing personnel participation difficulty and operation management difficulty, and rapidly responding to emergencies and emergency decision control.
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FIG. 1 is a flow chart of an intelligent numerical control platform of a traction system;
fig. 2 is a network topology diagram of a data center.
Detailed Description
The technical scheme of the invention provides an intelligent numerical control platform of a traction system, as shown in figures 1 and 2, the technical scheme is as follows:
the intelligent numerical control platform of the traction system comprises an internet of things perception transmission layer, a data analysis processing layer, a service application layer and a network transmission layer. Wherein:
the method comprises the following steps of (I) an Internet of things perception transmission layer: in the bridge construction process, in order to realize effective monitoring of each implementation unit, monitoring equipment which takes internet of things sensing equipment and data acquisition equipment as cores is set up to acquire and gather sensing data information, wherein the monitoring equipment mainly monitors the operation condition of a traction system puller, the temperature of a cable strand, the offset position of a cable tower, a field real-time image, the operation condition of a winch and the wind speed and direction condition, and the monitoring equipment is mainly realized by six modules, namely a traction system puller operation monitoring module, a cable strand temperature monitoring module, a cable tower offset monitoring module, a field real-time image module, a winch operation monitoring module and a wind speed and direction monitoring module, and is transmitted to a data analysis and processing layer through a network transmission layer. Wherein:
1. the operation monitoring module of the traction system puller comprises: the dragger in the traction system needs to perform acceleration and deceleration or other operations when reaching certain specific positions in the operation process. In order to carry out automated monitoring to the position of the puller in the traction system, the deviation and the error easily appear in the position of the manual judgment are avoided, and therefore, the operation of the puller is monitored by the operation monitoring module of the puller of the traction system. The track positioning is carried out on the real-time displacement of the dragging device in the traction system mainly through RFID electronic tag monitoring, and monitoring data are transmitted to a cloud computing data center through LoRa communication. The specific operation mode of monitoring the operation of the tractor of the traction system is described in the patent number CN10913774, which is named as an automatic control system and a monitoring platform of a suspension bridge cable strand traction system.
2. Cable strand temperature monitoring module: the cable strand is a common product in the construction of suspension bridge bridges and is used for bearing the weight of the bridges. During bridge construction, the whole construction stage of a suspension bridge is influenced by sunlight temperature difference in the cable strand installation process, and the coordinate of a cable tower and a main cable generates large deviation with the coordinate of design reference temperature due to excessive temperature difference, so that the sag and linear deviation design value of the whole main cable is influenced. For accurately analyzing the temperature effect, the linear change value of the main cable strand caused by the temperature change is monitored and adjusted in real time, and the main cable erection precision is guaranteed to play an extremely important role. Therefore, the strand temperature monitoring is realized by arranging the high-precision platinum resistance temperature sensor in the strand and dividing the cable strand bundle crossing the river into 9 sections for monitoring, and in order to ensure that the positions of monitoring the sections are scientifically and reasonably arranged at the same temperature, the temperature change and the data of the traction rope of the whole strand are mastered, so that the sections of each cable strand bundle are monitored for 5 temperature values which are respectively distributed around the center and the center of the section. The data of the high-precision temperature sensor acquired by the temperature module RS-4041M is communicated with the RS485 of the LoRa wireless communication module, the acquired temperature value is transmitted to the intelligent data acquisition and control instrument, and the data is transmitted to the server platform in a network mode. The specific operation mode of monitoring the cable strand temperature is described in detail in the patent number of CN109632122A, and the patent name is automatic measurement system of the suspension bridge cable strand temperature and an Internet of things temperature measurement and control platform comprising the same.
3. Cable tower off normal monitoring module: the method is used for measuring the displacement change of a measuring point relative to the spatial coordinate of a calibration point at the specific measuring point position of a cable tower by utilizing GNSS (global navigation satellite system), realizing early warning reminding of whether the offset of the measuring point exceeds the standard with the precision of 0.1MM, and directionally transmitting the measured data to a data center through a wired network and a wireless network bridge.
4. The on-site real-time image module: in the bridge construction monitoring of the network, the actual conditions (such as construction load distribution conditions and the like) of a construction site have important significance for construction control analysis and control decision. In order to master the condition of the bridge construction site in real time, the whole construction site can be monitored through the site real-time image module. The field real-time image module is used for erecting a spherical high-definition camera at a construction surface focus point, and directionally transmitting all monitoring data to the data center module through an independent wireless network bridge by using the spherical high-definition camera to carry out field construction real-time images;
5. the winch operation monitoring module: and acquiring running state data of the running equipment of the winch, and automatically controlling the linkage control of the traction, acceleration, deceleration and starting and stopping of the dragging device. The module comprises an OPC server, a winch device and an acquisition control system. The open interface of the OPC server is in communication connection with the winch PLC and performs data interaction, the winch PLC can report data such as the equipment state and the operation state of the winch to the OPC server according to set frequency, and the acquisition control system acquires the equipment state and the operation data of the PLC from the OPC server and transmits the data to the data analysis and processing layer through a wireless directional transmission network. The acquisition control system acquires the instruction issued by the data analysis processing layer in real time and transmits the instruction to the PLC of the winding machine so as to achieve the purpose of traction monitoring of the winding machine. The effective rate of transmission control of the winch operation monitoring module can reach 99.99%, and the response feedback time is controlled within 0.5-2 seconds. The specific operation mode of monitoring the operation of the winch is described in detail in patent No. CN10913774, which is named as an automatic control system and a monitoring platform of a suspension bridge strand traction system.
6. Wind speed and direction monitoring module: a wind speed and direction sensor is mounted on the cable tower, so that the wind speed and the wind direction of the day are monitored, and sensing data of the wind speed and the wind direction are collected.
(II) a data analysis processing layer: in order to realize data docking of the front-end Internet of things sensing equipment and the application layer, storage and processing of related sensing data are completed, and a data correlation analysis mechanism is established in combination with various evaluation and judgment requirements of system operation, so that monitoring and management of related speed, position and track are realized, and informatization infrastructure service support is provided for specific business system application. Therefore, the sensing data transmitted by the sensing transmission layer is transmitted to the public cloud through the data analysis processing layer, and key applications such as virtualization clusters, distributed file management, global disaster recovery backup and the like are completed through deployment at the cloud end, so that various storage and computing devices in the network are integrated to cooperatively work, computing storage resources and basic operating environments are provided, and response processing of mass data and high concurrent service requirements is realized. The public cloud computing center stores and processes the perception data, and the processing content comprises the following steps: calculating the running track speed of a puller of the traction system, calculating meteorological temperature measurement, calculating deviation of a tower cable, processing real-time image data of a construction focus, and monitoring a system network. The system network monitoring module is used for monitoring and analyzing the health state of the system network, presenting the health conditions of smoothness, bandwidth utilization rate and transmission rate of each link of the project network through a visual network topological graph, and reminding operation and maintenance personnel to adjust and optimize the network through measuring the health conditions and early warning.
(III) service application layer: in order to realize comprehensive application management of sensing data such as equipment state, operation process, monitoring information and the like and command control facing automatic control equipment, a public cloud is utilized to comprehensively manage and control the monitoring information, configuration information, auxiliary decision, a traction task center and statistical analysis; and also integrated with the BIM system interface.
The management and control of the monitoring information comprises the following steps: (1) monitoring the operation of a tractor of the traction system: displacement positioning and passing rate analysis, virtual scene display and dynamic running track recording, winch running state presentation, acceleration and deceleration automatic control instruction sending, and visual data statistics and comparative analysis; (2) monitoring the operation of the winch: the method comprises the steps of presenting the state and operation monitoring data of a winch in real time, presenting the trend changes of the tension and the speed of the winch, and verifying whether positioning data and traction action are normal or not by combining a traction task process; (3) and (3) cable tower deviation monitoring: the cable tower offset and cable linear measurement values are stored and recorded, and the cable tower offset change trend, interval range and cable linearity are fed back through a measurement timing diagram; (4) live real-time imaging: displaying real-time images of the site construction focus point in a visualized manner, wherein the real-time images comprise video point location classification and name information, and selecting or alternately broadcasting point monitoring real-time videos through 16, 9 and 4 grids; (5) monitoring the temperature of the cable strand: whether the temperature difference between a strand to be regulated and a reference cable meets the technical requirement of cable regulation or not is obtained through strand temperature measurement, and whether a construction section meets the cable regulation construction condition or not is judged by combining real-time measurement data of wind speed and wind direction, generally, the time frequency of the strand temperature measurement is set, the temperatures of the strand to be regulated and the reference cable of the same section are respectively obtained by 4 temperature measurement probes, then, the temperature of each point of the linear strand is simulated and calculated by a data center, the left side span, the right side span and the midspan are obtained through comprehensive calculation, whether the temperature of the strand to be regulated meets the cable regulation technical requirement or not is obtained, a cable regulation instruction is given by combining the section wind speed, and the system supports two modes of; (6) monitoring a system network: the method comprises the steps that the state data of each network device and the transmission rate and the bandwidth occupancy of a network link are collected in real time, and the whole network composition and the link smoothness are displayed through a visual diagram;
the management and control of the configuration information includes: user identity, authority management, operation log recording, report output, task response and other system basic management functions;
governing of the aid decision includes: the summary statistics shows the pre-alarm information of the early-warning rules of all the related subsystems of the trigger platform, the information retention is convenient to analyze the correlation between the standard exceeding of the monitoring indexes and the traction task, and the risk possibly existing in the traction process of the command center is reminded.
Management and control of the traction task center: historical traction task data is inquired through a historical task number, a stock code and a time interval, task details can be consulted through clicking details, and a task occurrence process is traced back through a detail page.
Management of statistical analysis: by utilizing a big data technology and carrying out statistical analysis on project data, a visual chart visually presents the overall data of the project, including cableway traction summary, working day summary, early warning and forecast information summary and traction task trend change. Wherein: (1) cableway traction and summarization: the upper and lower ropeways complete the comparison and the formation of the cable strand, the integral completion number, the daily completion number, the uniform traction speed and the uniform time consumption, the time consumption and the average speed for completing the traction of each cable strand of the ropeway and the like. (2) Working day summary: through calendar show plan time limit interval, interval weather every day, actual working day, the day of rest can directly look up whether the rest has direct reason with weather. (3) Counting early warning events: and counting the number of the early warning events according to the types of construction days, so as to judge which kind of early warning events frequently occur in the construction process. (3) And evaluating key factors related to traction efficiency according to trend changes of catwalks, traction quantity, traction speed and traction time consumption in each construction day.
Management and control of basic data: the method comprises the steps of data of cable strands, data of RFI D cards and data of setting of RFI D card catwalks. And (1) completing the stock data after data initialization, presenting the cableway completion condition and stock basic information, generating and printing a two-dimensional code on a system platform, and completing the printing and proofreading of the two-dimensional code on a page.
(2) RFI D card data: after initialization, all the data of purchasing the RFI D card are stored in a database, and basic information and the using state of the card are presented. (3) RFI D card catwalk setting data: maintain the card sequence of upper and lower stream catwalk, the platform will initialize the card sequence, because whether accurate that this basic data relation drags the ware location is through counting card number of times information that leaks reading, judging whether the card has the trouble, and this interface allows to change trouble card, visual display all cards and the convenient quick location RFI D card in card position.
(IV) network transport layer: the system comprises an LoRa communication network module and a wireless directional bridge module. The data center network topology shown in fig. 2, wherein: (1) the LoRa communication network module is used for realizing wireless communication data transmission between perception data and the data center module, wherein the perception data are collected by the traction system dragging device operation monitoring module, the cable strand temperature monitoring module and the wind speed and direction monitoring module through adopting a low-power consumption wide area network LoRa communication technology. The wireless directional bridge module (2) for sensing data adopts a low-power-consumption directional bridge communication technology and is used for realizing wireless communication data transmission between the sensing data acquired by the cable tower deviation monitoring module, the field real-time image module and the winch operation monitoring module and the data center module.
The advantages of the invention can be derived from the above description:
5) the data transmission of the Internet of things is efficient: the Internet of things low-power-consumption wide area network communication network which effectively covers the project implementation site is deployed in the way of system integral operation, the problem of difficulty in monitoring data transmission caused by lack of optical fiber broadband and 3G/4G wireless communication capacity is solved, and uniform access and efficient transmission of data collected by various Internet of things sensing devices are realized;
6) the supervision of the running state is comprehensive: the method mainly comprises the steps of carrying out data acquisition of the Internet of things according to real-time displacement of a puller in a traction system, judging the location and acceleration and deceleration rate of the puller in the operation process, simultaneously supporting automatic control system data access integration and data expansion and supplement of various sensing monitoring devices, acquiring system load and tension change, facility switch start-stop state, operation duration and energy consumption, cable pulling speed of a winch, multi-point temperature change of a cable, relative distance measurement and calculation, catwalk supporting and rolling operation conditions and the like, and providing multi-dimensional supervision and data decision support for the operation state of the whole system by matching with video image monitoring information;
7) and (3) related information processing systematization: based on the high-efficiency data processing capacity of a cloud computing service and a big data platform, unified analysis of diversity information is realized, association analysis of various data is established, and by combining modes such as video images and contrast statistics, systematic processing of system operation data is realized in visual expression modes such as a visual data chart, a virtual scene display and an operation track according to supervision contents such as the operation state, the load condition, tension variation, displacement positioning, the operation track and emergency of a traction system, and unified interactive access and operation management are performed on various terminals;
8) automatic control response intelligentization: the automatic control response of the system supervision data change to the running states of corresponding facilities such as starting, closing, accelerating, decelerating and the like is realized in a mode of programming instruction output by utilizing the self-developed Internet of things data acquisition control equipment to establish direct communication with the automatic control equipment (PLC) of the winch,
the personnel participation difficulty and the operation management difficulty are reduced, and the emergency response and the emergency decision control are quickly responded.
It should be understood that the detailed description of the invention is merely illustrative of the invention and is not intended to limit the invention to the specific embodiments described. It will be appreciated by those skilled in the art that the present invention may be modified or substituted equally as well to achieve the same technical result; as long as the use requirements are met, the method is within the protection scope of the invention.
Claims (8)
1. The intelligent numerical control platform of the traction system is characterized by comprising a perception transmission layer, a data analysis processing layer, a service application layer and a network transmission layer;
the perceptual transport layer: the system comprises a sensing transmission layer, a data analysis and processing layer and a data transmission layer, wherein the sensing transmission layer is used for collecting and summarizing sensing data information and comprises a traction system dragger operation monitoring module, a cable tower deviation monitoring module, a cable strand temperature monitoring module, an on-site real-time image module, a winch operation monitoring module and a wind speed and direction monitoring module, and the sensing data are transmitted to the data analysis and processing layer through the network transmission layer;
the data analysis processing layer: the public cloud computing center is used for transmitting the perception data to a public cloud, the public cloud computing center stores and processes the perception data, and the processing content comprises: calculating the running track speed of a puller of the traction system, calculating meteorological temperature measurement, calculating deviation of a tower cable, processing real-time image data of a construction focus, and monitoring a system network;
the service application layer: the system is used for performing visual data display and application service management on monitoring information, configuration information, auxiliary decision, traction task center and statistical analysis through a public cloud computing center, and also used for providing a multi-terminal interaction mode comprising computer end Web application, mobile terminal APP application and large-screen display of the monitoring center; the BIM interface is also used for providing a BIM system interface;
the network transport layer: the system comprises an LoRa communication network module and a wireless directional network bridge module; the LoRa communication network module is used for realizing wireless communication and data transmission among the traction system dragger operation monitoring module, the cable strand temperature monitoring module, the wind speed and direction monitoring module and the data analysis processing layer by adopting a low-power-consumption wide area network LoRa communication technology; the wireless directional bridge module is used for realizing wireless communication and data transmission among the cable tower deviation monitoring module, the field real-time image module, the winch operation monitoring module and the data analysis processing layer by adopting a low-power-consumption directional bridge communication technology.
2. The intelligent numerical control platform of the traction system according to claim 1,
the operation monitoring module of the traction system puller comprises: carrying out real-time displacement monitoring on a puller in the traction system through an RFID electronic tag, and calculating the acceleration and deceleration rate and positioning a track;
the cable strand temperature monitoring module: monitoring temperature change data of the cable strand at a specific position where the cable strand is erected through a PT100 temperature measuring probe;
the cable tower deviation monitoring module: collecting the spatial position data information of the cable tower at a specific measuring point position of the cable tower through GNSS equipment;
the on-site real-time image module: shooting a real-time image of the site construction by using a spherical high-definition camera;
the hoist operation monitoring module: the system comprises a winch running monitoring module, a data acquisition and control module and a data analysis and processing layer, wherein the winch running monitoring module comprises an OPC server, a winch device and a data acquisition and control system, an open interface of the OPC server is in communication connection with a winch PLC (programmable logic controller) and performs data interaction, the winch PLC can report data such as the state and the running state of the winch device to the OPC server according to set frequency, the data acquisition and control system acquires the equipment state and the running data of the PLC from the OPC server and transmits the data to the data analysis and processing layer through a wireless directional transmission network, and the data acquisition and control system acquires an instruction issued by the data analysis and processing layer in real time and transmits the instruction to the winch PLC to realize the traction monitoring of the winch;
the wind speed and direction monitoring module: a wind speed and direction sensor is arranged on the cable tower, so that wind speed and wind direction data of the day are collected.
3. The intelligent numerical control platform of the traction system according to claim 1, wherein the system network monitors and presents the health condition of each link of the project network through a visual network topology map, and the health condition comprises: the smoothness of each network, the bandwidth utilization rate and the transmission rate; the system network monitoring module also reminds operation and maintenance personnel to adjust the optimized network through monitoring health condition early warning.
4. The intelligent numerical control platform of the traction system according to claim 1, wherein the management and control of the monitoring information comprises: the method comprises the following steps of monitoring the operation of a dragging device of a traction system, monitoring the operation of a winch, monitoring deviation of a cable tower, imaging in real time on site, monitoring temperature of a cable strand and monitoring information of a system network.
5. The intelligent numerical control platform of the traction system according to claim 1, wherein the management and control of the configuration information comprises: user identity, authority management, operation log recording, report output and task response system basic management functions.
6. The intelligent numerical control platform of the traction system according to claim 1, wherein the management and control of the auxiliary decision comprises: the summary statistics shows the pre-alarm information of the early-warning rules of all the related subsystems of the trigger platform, the information retention is convenient to analyze the correlation between the standard exceeding of the monitoring indexes and the traction task, and the risk possibly existing in the traction process of the command center is reminded.
7. The intelligent numerical control platform of the traction system according to claim 1, wherein the management and control of the traction task center comprises: historical task numbers, strand codes and time intervals are used for inquiring historical traction task data, task details are looked up through clicking details, and a task occurrence process is traced back through a detail page.
8. The intelligent numerical control platform of the traction system according to claim 1, wherein the management and control of the statistical analysis comprises: cableway traction summary, working day summary, early warning and forecasting information summary, and traction task trend change.
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Application publication date: 20210611 |