CN111858650A - Online monitoring system and method for port crane steel cable internet of things - Google Patents
Online monitoring system and method for port crane steel cable internet of things Download PDFInfo
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- CN111858650A CN111858650A CN202010878246.4A CN202010878246A CN111858650A CN 111858650 A CN111858650 A CN 111858650A CN 202010878246 A CN202010878246 A CN 202010878246A CN 111858650 A CN111858650 A CN 111858650A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
Abstract
The invention belongs to the technical field of steel cable running information processing, and discloses an online monitoring system and method for port crane steel cable internet of things, wherein after magnetic field signals of magnetized steel cables are subjected to primary processing, different types of data or pictures are submitted to respective corresponding MySQL databases respectively; calling data in respective databases for display and management, comparing the monitoring data with normal data, and analyzing whether the steel wire rope is damaged or not and the damage degree in real time; and processing the data by utilizing a big data technology and combining an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the ideal service life of the steel wire rope. The invention avoids the pollution among data and prevents the data distortion caused by misoperation; the RbbitMQ is used for changing operation transactions of the system into a message queue, so that the operations are performed in order and do not interfere with each other. The system is released on the Internet, a user can use the cloud to access the system, and the system can be conveniently used when being far away from the field.
Description
Technical Field
The invention belongs to the technical field of steel cable operation information processing, and particularly relates to an online monitoring system and method for steel cable internet of port cranes.
Background
At present, for a long time, because the characteristics that the wire rope structure is complicated, operational environment is abominable and not repairable, along with the increase of live time, the damage can appear more or less, promptly: wire breakage, wear, fatigue, corrosion, deformation, rope biting, and the like. In the past, due to the lack of scientific and effective steel wire rope on-line monitoring equipment, the use and management of the steel wire rope are difficult, great potential safety hazards are caused, and the economic loss is huge. Therefore, the development of a real-time online monitoring system for the steel wire rope can find the accident potential of the steel wire rope in time, and the prediction of the damage condition of the steel wire rope becomes more urgent. At present, a steel wire rope monitoring flaw detection system based on the principle is developed, a background management system written based on an SSM framework is used, and the bottom layer is developed by an it language. The system needs to know the language of the computer to a certain extent, is not friendly to domestic users and is difficult to actually maintain. The current big data technology is developed vigorously, and technical support is provided for steel wire rope damage prediction.
The steel wire rope real-time online monitoring system is developed, the rope breakage accident of the steel wire rope can be found in time, the safe production is guaranteed, the problems of complex structure and high cost of the existing steel wire rope detection equipment exist, and therefore the steel wire rope detection system and the background maintenance management method are provided. The technology is based on a leading sensing technology and an edge computing core, data monitoring services are carried out on the steel wire ropes under various lifting scenes in an Internet of things cloud centralized control mode, and the running state and the safety state of the lifting steel wire ropes are monitored and evaluated in a full real-time online mode by matching with an LQ-E2018 Internet of things monitoring cloud platform. The system adopts the latest design language, and adopts the most ideal design route from the interface style to the system architecture. Technically, 24-hour uninterrupted monitoring service is realized, any alarm information is not omitted, and the acquired data is visually analyzed.
Quantum mechanics proves that: in the organization structure of the ferromagnetic material, a kind of magnetic domain with respective gyromagnetic moment direction is densely arranged, a new magnetic memory detection method is proposed, an external magnetic field is applied to the steel wire rope, the quantity of the magnetic domain in a certain direction in the magnetic material can be changed, all the magnetic domains in the magnetic material have proper low-magnitude magnetic energy product, thus forming a memory magnetic field, as long as the conditions of violent mechanical vibration or high temperature and the like do not occur, the magnetic field can stably exist for a long time, and whether the steel wire rope has failure problems can be determined by detecting the magnetic field.
At present, TCK and Shanghai Macro-exploration nondestructive testing equipment limited companies have developed a steel wire rope monitoring flaw detection system based on the principle, and used data display tools must be arranged on a working site, need manual operation at any time and are inconvenient to carry. In the third revolution of the information technology industry, the internet of things technology is connected with the internet through the information sensing equipment to exchange information, so that intelligent identification and management are realized, and a worker can also perform a series of management on the steel wire rope monitoring system even if the worker is not on the spot.
At present, mainstream internet data management platforms are developed by integrating a series of components based on a java Spring Boot framework, and with the development of the internet of things, the technology is mature and complete in function. At present, the existing steel wire rope detection system does not effectively process and display detection data, can only carry out real-time detection and real-time checking on a working site, so that a professional is required to operate in real time, the steel wire rope detection system can not be normally used in extreme cases, steps still stay in the traditional industrial field, and the steel wire rope detection system is not in accordance with the national industrial development strategy.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) in the prior art, a big data technology is not used for processing data in combination with an algorithm, the future damage condition of the steel wire rope cannot be predicted, and the accuracy of predicting the service life of the steel wire rope is poor.
(2) The system is not configured in a distributed mode, a plurality of devices share one server for management, and once the system goes down due to faults, all the devices cannot be used.
(3) The database is not separated from the master database and the slave database, and if the data is not operated properly, the data can be lost, so that the detection is inaccurate.
(4) The system is not designed in a humanized mode, needs the professional personnel of the computer to maintain, is inconvenient to exchange, and improves the enterprise cost.
(5) The early warning function is not strong, and the timeliness does not exist, and the manager cannot be informed in time when a problem occurs.
The difficulty in solving the above problems and defects is:
(1) all technical blocks of the system need to be integrated, all servers of the release system need to establish communication, and various conflicts are solved;
(2) the requirements for computer knowledge and detection technology need to understand the meaning represented by the detection data, compile an algorithm and realize in a code;
(3) and designing and managing the database. The data comprises user data, real-time data and historical data, the three types of data have relations, and each type of data has respective relation, so that the database division and the table division are carried out on the data, and the multi-table operation has great difficulty;
(4) the system affairs accessed by a plurality of devices and a plurality of personnel need to be queued in groups, balanced with each other and not interfered with each other.
The significance of solving the problems and the defects is as follows:
the working efficiency of a monitoring department is improved, an online monitoring system is installed to monitor data in real time, workers can check accurate monitoring data through the system and master the dynamic change condition of the damage of the steel wire rope in real time, remote monitoring is realized, and an automatic monitoring system is built, namely, an electronic eye capable of monitoring the condition of the steel wire rope in all weather is configured in an enterprise, the damage condition of the steel wire rope in the future can be predicted, and the service life of the steel wire rope is predicted;
the method is favorable for finding the rope breakage accident of the steel wire rope in time, does not omit any alarm information, ensures safe production, and performs visual analysis on the acquired data;
the distributed configuration of the system can avoid the system downtime and data loss;
the integration of computer technology and the steel wire rope detection field, namely the integration of the traditional manufacturing industry and the emerging technology industry, promotes the development of the traditional industry, actively responds to the national requirements on intelligent manufacturing, improves the consciousness of artificial intelligence of enterprises, and adds tiles for the modern industrialization process.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an online monitoring system and method for a port crane steel cable internet of things.
The invention is realized in this way, a method for monitoring the steel cable internet of things of a port crane on line, comprising the following steps:
primarily processing the magnetized magnetic field signal of the steel wire rope and then storing the magnetic field signal into a MySQL database;
calling the database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
And further, calling a background database through a front-end technology to display and manage the data.
Another object of the present invention is to provide an online monitoring system for a port crane cable internet of things, comprising:
the data query module is used for querying the detection information of the steel wire rope;
the device management module is used for performing addition, deletion, modification and check on the data binding of the monitoring device;
the real-time working condition display module is used for visualizing the steel wire rope magnetic signal monitored in real time and the working state of the equipment;
the working condition alarm module is used for monitoring the system and sending a report in real time;
the statistical report display module is used for displaying the monitoring parameters in a list form;
and the information processing module is used for storing the monitoring data, analyzing the collected data by utilizing a big data technology and an algorithm, and predicting the time and the failure position of the future damage of the steel wire rope.
Further, the data query module is also used for querying historical data and real-time data.
The real-time working condition module outputs the visual data to a web interface to form a chart and simultaneously displays a plurality of data.
The working condition alarm module monitors that a steel wire rope magnetic field signal is suddenly changed in real time, the damage degree of the steel wire rope in the section beyond a normal range threatens the working safety, and the system gives an alarm.
The monitoring parameters displayed by the statistical report module comprise statistical data of time, day, month, season and year, and the statistical data comprise damage degree, working temperature, power consumption and safety level data; and the monitoring parameter export excel is used for inquiring.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
primarily processing the magnetized magnetic field signal of the steel wire rope and then storing the magnetic field signal into a MySQL database;
calling the database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
primarily processing the magnetized magnetic field signal of the steel wire rope and then transferring the magnetic field signal into a real-time database in a MySQL database;
calling the database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
By combining all the technical schemes, the invention has the advantages and positive effects that:
the system comprises login operation, equipment management, data query, real-time working condition, working condition alarm, statistical form, information processing and system management; the sensor transfers the magnetized magnetic field signal of the steel wire rope to a real-time database of force control configuration software after preliminary treatment, calls a background database through a front-end technology to display and manage data, and compares monitoring data with normal data to analyze whether the steel wire rope is damaged or not and the damage degree in real time. And then, the big data technology is combined with an algorithm to process data, the future damage condition of the steel wire rope is predicted, and the service life of the steel wire rope is predicted.
The detection system designed at this time is suitable for flaw detection of the steel wire rope of the port crane, is accurate in detection, has a certain prediction function, and is advanced.
According to the invention, professional detection equipment is adopted for data acquisition, background data is managed and displayed through an integrated framework of the Spring Boot, visualization and visualization analysis of data are realized, the maintenance is simple, the operation is convenient, professionals needing to know computer knowledge to a certain extent are avoided, the maintenance cost is low, the method is suitable for various working condition environments, and the prediction is accurate. Through internet release, the user can utilize the high in the clouds to carry out system access, convenient to use.
The required equipment is simple, the system can be monitored in a background centralized manner, the dynamic change condition of the damage of the steel wire rope is mastered, and the management is convenient; the 24-hour uninterrupted monitoring service is technically realized, and any alarm information is not omitted;
different permission levels can be set and authorized for different users, and only high-permission users can set and modify the whole system, so that the safety performance is greatly improved.
Compared with the prior art, the invention has the advantages that:
the invention adopts the main stream data management technology: the Spring Boot + Mybatis framework manages the detection data of the steel wire ropes in the database at the back stage, screens the data as required, binds and displays the collected data with a front-end page by using a theamleaf technology, realizes the separation of the front end and the back end, is convenient to maintain, visualizes the data by adopting the domestic mainstream image display technology EChats, and realizes the visual display of the data at present. The system is designed in a distributed mode in consideration of independent operation of multiple devices. Wherein, the Zookeeper + Dubbo separation system is used for separating each function, thereby improving the function expansibility of the system; the system integral code is packaged and then put into the Docker container corresponding to each device to operate, so that the mutual independence and mutual communication of a plurality of devices are realized, the operation is convenient, the service can be started only by inputting one instruction, the condition that workers have certain knowledge of computer knowledge is avoided, the maintenance cost is low, and the system integral code is suitable for various working condition environments; the master-slave design of the database is adopted, each Docker container is stored with the slave database of the corresponding equipment, the slave databases can be mutually subjected to data synchronization and are connected and synchronized with the master database of the host, so that the pollution among data is avoided, and the data distortion caused by misoperation is prevented; the RbbitMQ is used for changing operation transactions of the system into a message queue, so that the operations are performed in order and do not interfere with each other. The system is released on the Internet, a user can use the cloud to access the system, and the system can be conveniently used when being far away from the field. The technology has not been disclosed in the forms of articles, patents and the like at home and abroad.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a schematic view of an online monitoring system for a port crane cable internet of things according to an embodiment of the invention.
In the figure: 1. a data query module; 2. a device management module; 3. a real-time working condition module; 4. a working condition alarm module; 5. a statistical reporting module; 6. and an information processing module.
Fig. 2 is a flow chart of an online monitoring method for a port crane steel cable internet of things provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an online monitoring system and method for a port crane steel cable and cable internet of things, and the invention is described in detail below with reference to the attached drawings.
As shown in fig. 1, an online monitoring system for a port crane cable internet of things provided by an embodiment of the present invention includes:
the data query module 1 queries the detection information of the steel wire rope, can query historical data and the real-time data equipment management module 2, and performs addition, deletion, modification and check on the data binding of the monitoring equipment.
And the real-time working condition module 3 is used for visualizing the steel wire rope magnetic signal monitored in real time and the working state of the equipment, outputting the steel wire rope magnetic signal and the working state of the equipment to a web interface to form a chart, and simultaneously displaying a plurality of data.
And the working condition alarm module 4 is used for monitoring the system, if the steel wire rope magnetic field signal monitored in real time changes suddenly and exceeds a normal range, the damage degree of the steel wire rope at the section threatens the working safety, the system gives an alarm, and at the moment, the detection equipment takes pictures and sprays paint on the steel wire rope so as to facilitate the follow-up inquiry and processing of workers.
And the statistical report module 5 displays statistical data of time, day, month, season and year of the monitored parameters in a list form, such as damage degree, working temperature, power consumption, safety level and the like. The excel l may be queried and derived.
And the information processing module 6 is used for storing the monitoring data, analyzing the collected data by utilizing a big data technology and an algorithm, and predicting the time of the future damage of the steel wire rope, the failure position and the like.
As shown in fig. 2, the online monitoring method for the steel cable internet of things of the port crane provided by the invention performs login operation, equipment management, data query, real-time working condition and working condition alarm, statistical form, information processing and system management. The method specifically comprises the following steps:
firstly, the sensor primarily processes the magnetized magnetic field signal of the steel wire rope and then stores the magnetic field signal into a MySQL real-time database.
And step two, calling a background database through a front-end technology to display and manage data, and comparing the monitoring data with normal data to analyze whether the steel wire rope is damaged or not and the damage degree in real time.
And thirdly, processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
The invention is further described with reference to specific examples.
Examples
The on-line monitoring system for the port crane steel cable internet of things provided by the invention is used for carrying out the following operations:
primarily processing the magnetic field signal of the magnetized steel wire rope, then transferring the magnetic field signal into a MySQL data acquisition system, and realizing real-time data synchronization by adopting a master-slave data synchronization mode;
the background data management system of the internet of things is used for logging in an interface (for ensuring information safety, a spring-Security component is integrated to encrypt the system), logging in a main interface, managing a unit, inquiring equipment contained in the unit, displaying and managing all the equipment and managing the system (user registration and deletion, user authority management, user authority access resource management and logs).
The invention is further described with reference to specific examples.
Examples
The invention adopts the main stream data management technology: the Spring Boot + Mybatis framework manages the detection data of the steel wire ropes in the database at the back stage, screens the data as required, binds and displays the collected data with a front-end page by using a theamleaf technology, realizes the separation of the front end and the back end, is convenient to maintain, visualizes the data by adopting the domestic mainstream image display technology EChats, and realizes the visual display of the data at present. The system is designed in a distributed mode in consideration of independent operation of multiple devices. Wherein, the Zookeeper + Dubbo separation system is used for separating each function, thereby improving the function expansibility of the system; the system integral code is packaged and then put into the Docker container corresponding to each device to operate, so that the mutual independence and mutual communication of a plurality of devices are realized, the operation is convenient, the service can be started only by inputting one instruction, the condition that workers have certain knowledge of computer knowledge is avoided, the maintenance cost is low, and the system integral code is suitable for various working condition environments; the master-slave design of the database is adopted, each Docker container is stored with the slave database of the corresponding equipment, the slave databases can be mutually subjected to data synchronization and are connected and synchronized with the master database of the host, so that the pollution among data is avoided, and the data distortion caused by misoperation is prevented; the RbbitMQ is used for changing operation transactions of the system into a message queue, so that the operations are performed in order and do not interfere with each other. The system is released on the Internet, a user can use the cloud to access the system, and the system can be conveniently used when being far away from the field. The technology has not been disclosed in the forms of articles, patents and the like at home and abroad.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the 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, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. An online monitoring method for a port crane steel cable internet of things is characterized by comprising the following steps:
respectively transferring the magnetized magnetic field signals of the steel wire rope into a plurality of MySQL databases after primary processing and screening;
calling database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
2. The on-line monitoring method for the port crane steel cable internet of things as claimed in claim 1, wherein the data display and management are carried out by calling a background database through a front-end technology.
3. The utility model provides an online monitored control system of harbour crane steel cable thing antithetical couplet which characterized in that, the online monitored control system of harbour crane steel cable thing antithetical couplet includes:
the data query module is used for querying the detection information of the steel wire rope;
the device management module is used for performing addition, deletion, modification and check on the data binding of the monitoring device;
the real-time working condition display module is used for visualizing the steel wire rope magnetic signal monitored in real time and the working state of the equipment;
the working condition alarm module is used for monitoring the system and automatically sending a report;
the statistical report display module is used for displaying the monitoring parameters in a list form;
and the information processing module is used for storing the monitoring data, analyzing the collected data by utilizing a big data technology and an algorithm, and predicting the time and the failure position of the future damage of the steel wire rope.
4. The on-line monitoring system for the port crane steel cable internet of things as claimed in claim 3, wherein the data query module is further used for managing and querying historical data and real-time data.
5. The on-line monitoring system for the port crane steel cable internet of things as claimed in claim 3, wherein the real-time working condition module outputs visual data to a web interface to form a chart and simultaneously displays a plurality of data in an image mode.
6. The on-line monitoring system for the port crane steel cable internet of things as claimed in claim 3, wherein the steel cable magnetic field signal monitored by the working condition alarm module in real time is suddenly changed, the damage degree of the steel cable section beyond a normal range threatens the working safety, and the system gives an alarm.
7. The on-line monitoring system for the port crane steel cable internet of things as claimed in claim 3, wherein the monitoring parameters displayed by the statistical report module comprise statistical data of time, day, month, season and year, and the statistical data comprise damage degree, working temperature, power consumption and safety level data; and the monitoring parameter export excel is used for inquiring.
8. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
primarily processing the magnetized magnetic field signal of the steel wire rope and then storing the magnetic field signal into a MySQL database;
calling the database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
9. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
primarily processing the magnetized magnetic field signal of the steel wire rope and then storing the magnetic field signal into a MySQL database;
calling the database data to display and manage the data, comparing the monitoring data with normal data and analyzing whether the steel wire rope is damaged or not and the damage degree in real time;
and (3) processing the data by utilizing a big data technology and an algorithm, predicting the future damage condition of the steel wire rope, and prejudging the service life of the steel wire rope.
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| CN111561875A (en) * | 2020-06-18 | 2020-08-21 | 北交智汇千路(北京)科技有限公司 | Side slope structure safety monitoring system and method based on distributed sensing optical cable |
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