CN118332641A - Mining machinery complete set application analysis system based on BIM technology - Google Patents
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Abstract
The invention discloses a mining machinery complete application analysis system based on BIM technology, which comprises a model building subsystem, a mining machinery complete application analysis system and a mining machinery complete application analysis system, wherein the model building subsystem is used for building a three-dimensional model by inputting raw data of the mining machinery complete application; the information management subsystem is used for carrying out informatization processing on the model; the data acquisition subsystem comprises a sensor integration module, a data preprocessing module and a data transmission module; the data analysis subsystem is used for carrying out deep analysis on the acquired data and carrying out pipeline collision detection; BIM model and visualization subsystem and decision support subsystem. The mining machinery complete application analysis system based on the BIM technology has the beneficial effects of improving efficiency, enhancing collaborative operation, optimizing decision support, reducing cost, enhancing safety and the like. This helps ensure safe, stable and efficient operation of the mining machinery kit.
Description
Technical Field
The invention belongs to the technical field of mining machinery, and particularly relates to a mining machinery complete set application analysis system based on a BIM technology.
Background
BIM English is called Building Information Modeling, meaning building information model, meaning concept, method, technology and process of managing the whole life cycle of construction project from design to construction to operation by using the created digital model. BIM technology is now widely used in building, infrastructure and factory design. Through the three-dimensional model, the BIM technology can realize information sharing and cooperative work, and improves the efficiency of design, construction and operation.
Because of the specificity of the integrated engineering project of the mechanical complete system, the mechanical complete system specifically comprises high investment, long upstream and downstream industrial chains, suppliers of all parts, high uncertainty, slow fund return and the like. Thus, the integrated engineering project of the mechanical complete system is required to be capable of fully coordinating business and integrating resources. However, the development of integrated engineering projects for mechanical packages has long been in a diffuse and traditional model, and transformation may require more time, money and effort than other industries. BIM technology can effectively reduce cost, improve quality and accelerate project transformation process. The project management system can also improve project management level and production efficiency, gradually strengthen project management from all aspects of communication, cooperation, pre-control and the like, and can promote cooperation and communication of all participants through a BIM model, so that the purpose of rapid transformation is achieved.
Mining machines, such as mining equipment, transportation equipment, etc., have their special operating environments and conditions. The traditional mining machinery management mode often has the problems of opaque information, large cooperative work difficulty and the like. Mining machine packages involve the collaborative work of multiple devices, the operation and management of which is highly complex. The traditional technical means are difficult to meet the requirements of comprehensive and efficient management and analysis of the whole set of applications.
Although BIM technology is widely applied in the field of construction, the BIM technology has wide application prospect in the field of non-construction, such as mining industry. By combining the BIM technology and the characteristics of the mining machinery, an analysis system suitable for the complete set application of the mining machinery can be developed.
Aiming at the key problem of influencing cost and efficiency in the integrated engineering project of a mechanical complete system, the invention provides a mining mechanical complete application analysis system based on BIM technology based on the powerful modeling and simulation functions of the BIM technology and through the establishment of a model base of mechanical manufacturing parts.
Disclosure of Invention
The invention provides a mining machinery complete set application analysis system based on a BIM technology, which has the beneficial effects of improving efficiency, enhancing collaborative operation, optimizing decision support, reducing cost, enhancing safety and the like. This helps ensure safe, stable and efficient operation of the mining machinery kit.
In order to achieve the above object, the technical scheme of the present invention is as follows: a mining machinery complete set application analysis system based on BIM technology comprises a model building subsystem, an information management subsystem, a data acquisition subsystem, a data analysis subsystem, a BIM model and visualization subsystem and a decision support subsystem.
The model building subsystem is used for building a three-dimensional model by inputting raw data of the mining machinery complete set application.
The information management subsystem is used for carrying out informatization processing on the model.
The data acquisition subsystem comprises a sensor integration module, a data preprocessing module and a data transmission module, wherein the sensor integration module is used for monitoring the running state, the position and the environmental parameters of the mining machinery in real time, the data preprocessing module is used for cleaning, filtering and formatting the original data, and the data transmission module is used for transmitting the processed data to the data analysis subsystem or the cloud storage platform.
The data analysis subsystem is used for carrying out deep analysis on the collected data and carrying out pipeline collision detection.
The BIM model and the visualization subsystem are used for combining the data analysis result with the BIM model and displaying the data analysis result in an intuitive mode.
The decision support subsystem simulates and optimizes the construction scheme based on the informatization data of the model and the data analysis result, provides optimization suggestions and decision support, and generates a report.
After the scheme is adopted, the following beneficial effects are realized: the three-dimensional model is quickly built through the model building subsystem, so that the modeling process is simplified, and the modeling efficiency is improved. Meanwhile, the information management subsystem performs informatization processing on the model, so that information management is more efficient. The data acquisition subsystem monitors the running state, the position and the environmental parameters of the mining machinery in real time, and ensures the real-time property and the accuracy of data. The data analysis subsystem carries out deep analysis on the collected data and carries out pipeline collision detection, so that the analysis accuracy is improved. The BIM model and the visualization subsystem combine the data analysis result with the BIM model to be displayed in an intuitive mode, so that collaborative operation among departments is promoted. The decision support subsystem simulates and optimizes the construction scheme based on the informationized data of the model and the data analysis result, provides optimization suggestions and decision support, generates a report, and improves the scientificity and accuracy of the decision. The system of the invention is helpful to reduce the analysis and management cost of the complete application of mining machinery by improving the efficiency, enhancing the collaborative operation and optimizing the decision support.
The data acquisition subsystem monitors the running state, the position and the environmental parameters of the mining machinery in real time, timely discovers abnormal conditions, and improves safety. Meanwhile, the BIM model and the visualization subsystem display the data analysis result in an intuitive mode, so that potential safety hazards can be found in time, and the safety is further enhanced.
In summary, through automated and intelligent data processing and analysis, the system can quickly generate reports and decision suggestions, thereby improving the working efficiency. By sharing data and information in real time, all departments can work cooperatively better, and information island and repeated work are avoided. The running state and the environmental parameters of the machine are monitored in real time, potential safety hazards and faults are found in time, and the personal safety of workers and the normal running of equipment are guaranteed. The application of the system of the invention is helpful to promote the digital and intelligent development of the complete application field of mining machinery, and promote the technical innovation and the industrial upgrading. Based on analysis and decision support of data, the decision is more scientific, reasonable and dependent, and the quality of the decision is improved.
Further, the input raw data includes physical information, attribute information, and spatial relationship of the devices to each other.
The beneficial effects are that: the input raw data comprises physical information, attribute information and spatial relationship of the devices, and the information comprehensively describes states and characteristics of the devices and provides a complete basis for subsequent data processing and analysis. Accurate raw data is a precondition for ensuring reliable data analysis results. By recording the physical information, the attribute information and the spatial relationship of the equipment in detail, the data error can be reduced, and the analysis accuracy can be improved. The input original data is structured and normalized, and is convenient for computer processing and analysis. The speed and the efficiency of data processing are greatly improved, and possibility is provided for real-time monitoring and early warning. The diversity of raw data allows the system to perform customized data processing and analysis according to different requirements. For example, the performance and status of the device may be evaluated based on the physical information and attribute information of the device; the layout and configuration can be optimized according to the spatial relationship between the devices.
Further, the informatization processing comprises information input, inquiry and update of purchasing, transporting, installing and debugging links of the equipment.
The beneficial effects are that: the purchasing, transporting, installing and debugging links of the equipment are managed in an informationized mode, related information can be rapidly input, inquired and updated, and the efficiency and accuracy of information management are improved. The informatization processing can realize real-time sharing of information and promote collaborative work among departments. Related personnel can know the state and progress of the equipment in time through the informatization platform, and the progress of the project is jointly promoted. In the links of purchasing, transporting, installing and debugging equipment, key parameters and data are recorded in an informationized mode, so that quality control can be enhanced, and the performance and quality of the equipment are ensured to meet the requirements. Through informatization processing, a manager can more accurately know the purchase, transportation, installation and debugging conditions of the equipment, so that resources are more reasonably distributed, and the configuration of the resources is optimized. The purchasing, transporting, installing and debugging information of the equipment is recorded in an informationized mode, so that detailed history records and data support can be provided for later maintenance and management, and later work is facilitated.
Further, the sensor integration module comprises a speed sensor, a vibration sensor, an infrared sensor, a temperature sensor, a pressure sensor, an oil sensor, a GPS sensor, a mileage sensor, an angle sensor, a weather sensor, a soil humidity sensor, a soil quality sensor, a dust sensor, a noise sensor and a toxic gas sensor.
The beneficial effects are that: through integrating multiple types of sensors, the sensor integration module can monitor the running state and the environmental parameters of the mining machinery from multiple dimensions, and the comprehensiveness and the accuracy of monitoring are improved. The integration of multiple sensors can provide richer data information, and is helpful for improving the judgment capability of the early warning subsystem on abnormal conditions, so that early warning can be sent out more timely and accurately. The data of the multiple sensors can provide more comprehensive information for decision makers, help them to make more scientific and reasonable decisions, and improve the intelligent level of the whole system. Through each key position of real-time supervision mining machinery, the sensor integrated module can in time discover latent trouble or damage, helps maintainer to formulate more reasonable and efficient maintenance strategy, extension equipment life. The integration of multiple sensors can monitor and early warn potential safety hazards more comprehensively, so that the risk of accidents is reduced, and the operation safety is improved.
Further, when the data analysis subsystem judges that the received vibration sensor data is abnormal, the analysis process of the data analysis subsystem is as follows:
And the data analysis subsystem judges whether vibration data is abnormal caused by the passing of organisms according to the data of the infrared sensor.
And the data analysis subsystem judges whether the vibration data is abnormal or not, which is caused by the passing of the vehicle, according to the transportation data of the information management subsystem.
The data analysis subsystem judges whether the vibration data is abnormal due to geological disasters according to the vibration frequency and the fluctuation in the vibration sensor data.
And meanwhile, the data analysis subsystem judges whether the vibration data is abnormal due to mechanical faults or not according to the historical data of the vibration sensor data.
The beneficial effects are that: the data analysis subsystem comprehensively utilizes various sensor data, including the transportation data of the infrared sensor and the information management subsystem, the historical data of the vibration sensor and the like, performs multidimensional analysis, and improves the accuracy and reliability of analysis. The data analysis subsystem not only considers the common cause of mechanical failure, but also considers other potential causes such as biological passing, vehicle passing and geological disasters, so that the analysis is more comprehensive and careful. By one-by-one investigation and analysis of multiple possible causes, the data analysis subsystem can reduce false positives on anomalous data, avoiding unnecessary alarms and misoperations.
Further, the system also comprises an early warning subsystem, and the early warning subsystem is used for early warning abnormal conditions according to the analysis result of the data analysis subsystem.
The beneficial effects are that: the early warning subsystem can monitor the running state and environmental parameters of the mining machinery in real time, and can immediately send out early warning once abnormal conditions such as mechanical faults, geological disasters and the like are found, and inform relevant personnel to take countermeasures, so that the problems can be treated in time, and situation expansion is avoided. Through real-time monitoring and early warning of the early warning subsystem, related personnel can know abnormal conditions in time and rapidly take processing measures, so that the time of information transmission and processing is shortened, and the working efficiency is improved. The timely early warning of the early warning subsystem can effectively reduce the loss caused by accidents. When an abnormal situation occurs, related personnel can quickly take countermeasures, and the risks of casualties and property loss are reduced.
Further, the system also comprises a safety management subsystem, wherein the safety management subsystem is used for monitoring the running state and the environmental parameters of the mining machinery in real time and warning and protecting the dangerous area in real time.
The beneficial effects are that: through the real-time monitoring of the running state and the environmental parameters of the mining machinery, the safety management subsystem can timely find potential safety hazards or dangerous situations, such as mechanical faults, geological disasters and the like, and is beneficial to taking measures in advance, avoiding accidents and improving the safety of mining operation. The safety management subsystem carries out real-time warning and protection on dangerous areas, and can effectively remind related personnel to evacuate or take safety measures in time, so that risks of casualties and property loss are reduced. The safety management subsystem can monitor abnormal conditions in real time, and timely gives an alarm through the early warning subsystem to inform related personnel to take response measures, so that the emergency response time is shortened, and the emergency response capacity is improved.
Further, the system also comprises a user management subsystem, wherein the user management subsystem is used for giving different data access and use rights to different users according to different roles and responsibilities.
The beneficial effects are that: by giving different users different data access and use rights, only authorized users can be ensured to access sensitive data, thereby improving the security of the data. Through the user management subsystem, an administrator can conveniently manage users, such as adding and deleting users, modifying user rights and the like, so that the management flow is simplified, and the management cost is reduced. User management subsystems typically support custom rights and roles so that the user management subsystem can be easily extended when the system needs to handle more complex data or functions. Through reasonable authority allocation and management, the user management subsystem can reduce the risk of system errors or faults caused by illegal access or operation, thereby enhancing the reliability of the system.
Drawings
FIG. 1 is a block diagram of an embodiment of a mining machine set application analysis system based on BIM technology of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The following is a further detailed description of the embodiments:
Example 1, substantially as shown in figure 1: a mining machinery complete set application analysis system based on BIM technology comprises a model building subsystem, an information management subsystem, a data acquisition subsystem, a data analysis subsystem, a BIM model and visualization subsystem and a decision support subsystem.
The model building subsystem is used for building a three-dimensional model by inputting raw data of the mining machinery complete set application. The input raw data includes physical information, attribute information, and spatial relationships of the devices to each other.
The information management subsystem is used for carrying out informatization processing on the model. The informatization processing comprises information input, inquiry and update of purchasing, transporting, installing and debugging links of the equipment.
The data acquisition subsystem comprises a sensor integration module, a data preprocessing module and a data transmission module, wherein the sensor integration module is used for monitoring the running state, the position and the environmental parameters of the mining machinery in real time, the data preprocessing module is used for cleaning, filtering and formatting the original data, and the data transmission module is used for transmitting the processed data to the data analysis subsystem or the cloud storage platform.
The sensor integration module comprises a speed sensor, a vibration sensor, an infrared sensor, a temperature sensor, a pressure sensor, an oil sensor, a GPS sensor, a mileage sensor, an angle sensor, a weather sensor, a soil humidity sensor, a soil quality sensor, a dust sensor, a noise sensor and a toxic gas sensor.
The data analysis subsystem is used for carrying out deep analysis on the collected data and carrying out pipeline collision detection.
The BIM model and the visualization subsystem are used for combining the data analysis result with the BIM model and displaying the data analysis result in an intuitive mode.
The decision support subsystem simulates and optimizes the construction scheme based on the informatization data of the model and the data analysis result, provides optimization suggestions and decision support, and generates a report.
The specific implementation process is as follows: firstly, a user constructs a three-dimensional model by inputting raw data of the mining machinery complete set application, including physical information, attribute information and spatial relationship among the equipment. Such data may be imported through a dedicated input device or directly from an existing database.
After the model is built, the information management subsystem is responsible for carrying out informatization processing on the model. This includes information entry, querying and updating of the procurement, transportation, installation and commissioning links of the device. For example, when a new device arrives, an information manager may enter detailed information of the device in the system, including model number, specification, date of manufacture, etc., and record the transportation and installation process of the device.
The data acquisition subsystem monitors the running state, the position and the environmental parameters of the mining machinery in real time by integrating various sensors. For example, a speed sensor may monitor the operating speed of the machine, a vibration sensor may monitor the vibration of the machine, an infrared sensor may monitor the temperature of the machine, etc. All of these raw data are cleaned, filtered and formatted by the data preprocessing module to ensure accuracy and reliability of the data. And then, the data transmission module transmits the processed data to a data analysis subsystem or a cloud storage platform.
The data analysis subsystem is responsible for in-depth analysis of the acquired data. For example, it may perform a pipeline collision check to ensure that various pipelines do not collide spatially. In addition, it may analyze the operating efficiency of the machine, predict potential faults, etc.
The BIM model and the visualization subsystem combine the results of the data analysis with the BIM model to be displayed to the user in an intuitive manner. For example, if the data analysis shows that there is a problem with a pipeline collision somewhere, the BIM model and the visualization subsystem will graphically display the location and extent of the collision, helping the user to quickly identify and resolve the problem.
Based on the informationized data of the model and the result of the data analysis, the decision support subsystem can perform simulation and optimization of the construction scheme. For example, it can simulate different construction schemes, analyze its feasibility and advantages and disadvantages, and provide optimization suggestions and decision support. Finally, a report is generated for reference by the decision maker.
For example: a new dumping machine is required to be installed in the mine. First, a three-dimensional model of the earth-moving machine is built through a model building subsystem. The information management subsystem then enters procurement information, transportation plans, and installation locations for the earth-moving machine. During the installation process of the soil discharging machine, the data acquisition subsystem monitors the running state and environmental parameters of the soil discharging machine in real time, such as the vibration condition, the running speed, the surrounding temperature, the surrounding humidity and the like of the soil discharging machine. The data analysis subsystem carries out deep analysis on the data and judges whether the running state of the soil discharging machine is normal, whether potential faults exist or not and the like. The BIM model and the visualization subsystem combine the data analysis result with the BIM model to display the result to a user in a graphical mode, such as displaying the running track, the vibration amplitude and the like of the soil discharging machine. And finally, simulating different mounting schemes of the dumping plough by the decision support subsystem according to the informationized data and the analysis result, and providing optimization suggestions and decision support. For example, it may suggest adjusting the position of the dumping machine or taking some action to reduce its vibration amplitude.
Embodiment 2 differs from the above embodiment in that: when the data analysis subsystem judges that the received vibration sensor data is abnormal, the analysis process of the data analysis subsystem is as follows:
And the data analysis subsystem judges whether vibration data is abnormal caused by the passing of organisms according to the data of the infrared sensor.
And the data analysis subsystem judges whether the vibration data is abnormal or not, which is caused by the passing of the vehicle, according to the transportation data of the information management subsystem.
The data analysis subsystem judges whether the vibration data is abnormal due to geological disasters according to the vibration frequency and the fluctuation in the vibration sensor data.
And meanwhile, the data analysis subsystem judges whether the vibration data is abnormal due to mechanical faults or not according to the historical data of the vibration sensor data.
The system also comprises an early warning subsystem, wherein the early warning subsystem is used for early warning abnormal conditions according to the analysis result of the data analysis subsystem.
The specific implementation process is as follows: first, the system collects operation data and environmental information of the mining machine in real time through various sensors (e.g., vibration sensor, infrared sensor, etc.). Such data includes vibration frequency, fluctuation, operating conditions of the machine, and temperature, humidity, biological activity in the environment, etc. The data analysis subsystem performs preprocessing, such as filtering, denoising and the like, on the collected original data so as to ensure the accuracy and reliability of the data. Next, based on the data from the different sensors, an analysis is performed:
Judging whether organisms pass through: by means of the data of the infrared sensor, it is analyzed whether signs of biological activity are displayed. If so, vibration data may be abnormal due to biological passage.
Judging whether a vehicle passes by or not: the transportation data in the information management subsystem is analyzed to determine if a vehicle is nearby or passing. If any, vibration data anomalies may be caused by the vehicle passing.
Judging whether geological disasters occur or not: and judging whether geological disasters such as earthquake, landslide and the like possibly occur according to the vibration frequency and the fluctuation condition in the vibration sensor data and by combining geological exploration data and historical experience.
Judging whether mechanical failure occurs: by analyzing the historical data of the vibration sensor data and combining the operation state and maintenance record of the machine, whether the machine has a fault or potential fault signs are judged.
Once the data analysis subsystem judges the abnormal condition, the early warning subsystem is started immediately. And the early warning subsystem decides the early warning level (such as low level, medium level and high level) and the early warning mode (such as acousto-optic early warning, short message notification and the like) according to the analysis result of the data analysis subsystem.
For example:
if the data analysis subsystem judges that the biological passing possibly causes data abnormality, the early warning subsystem can send low-level early warning to remind on-site personnel of paying attention in a lamplight flickering mode.
If the vibration data is abnormal due to the fact that the vehicle passes through, the early warning subsystem can send out medium-level early warning, and relevant personnel are notified through sound warning.
If it is judged that geological disasters or mechanical faults are likely to occur, the early warning subsystem can send out advanced early warning, and relevant personnel are rapidly notified to take countermeasures through various modes (such as acousto-optic power, short messages and the like).
In summary, when the data analysis subsystem determines that the received vibration sensor data is abnormal, the multidimensional analysis process can provide a plurality of possible explanations and reasons, and the beneficial effects include improving the accuracy and reliability of analysis, comprehensively considering various potential reasons and reducing misjudgment.
Embodiment 3 differs from the above embodiment in that: the system also comprises a safety management subsystem, wherein the safety management subsystem is used for monitoring the running state and the environmental parameters of the mining machinery in real time and warning and protecting the dangerous area in real time.
The specific implementation process is as follows: and after the safety management subsystem receives the data of the data transmission module, real-time analysis is carried out. The analysis includes the machine operation state, the change of the environmental parameter, the judgment of the abnormal situation, etc. Once the safety management subsystem discovers abnormal conditions, early warning and warning are needed in time. In addition to pre-warning and alerting, the safety management subsystem is required to have a safety protection function. For example, when the system detects that there is a hazard in a certain area, the risk can be reduced by automatically controlling the start and stop of the machine, limiting the ingress and egress of personnel, and the like.
Embodiment 4 differs from the above embodiment in that: the system also comprises a user management subsystem which is used for giving different data access and use rights to different users according to different roles and responsibilities.
The specific implementation process is as follows: the different roles and responsibilities involved in the system, such as administrators, project managers, data analysts, and machine operators, are first clarified. These roles correspond to different responsibilities and functional requirements and therefore require different data access and usage rights to be assigned thereto.
The administrator has the highest authority to have access to all functions and data of the entire system. The administrator can manage other users, allocate different roles and authorities for the users, and perform operations such as system configuration and adjustment.
Project managers are primarily concerned with project-related information and operations and may therefore be assigned rights related to the project. For example, a project manager may view the progress of a project, manage project team members, analyze project data, and so forth.
The data analyst is mainly responsible for processing, analyzing, visualizing and other tasks on the data in the system. Thus, the data analyst may be assigned rights related to data processing and analysis, such as data querying, data exporting, chart generation, etc.
The machine operator is primarily responsible for the operation and maintenance of the machine and may therefore be assigned rights related to the operation and maintenance of the machine, such as remote control of the machine, operational status monitoring, maintenance record viewing, etc.
Through the implementation of the user management subsystem, different users can be given different data access and use rights according to different roles and responsibilities. The safety and the reliability of the system are ensured, and the use efficiency and the effect of the system are improved. In practical application, the user management subsystem also needs to integrate and work cooperatively with other subsystems to ensure smooth operation and effective management of the whole system.
In summary, the user management subsystem has the beneficial effects of improving data security, improving working efficiency, simplifying management flow, enhancing system expandability, enhancing system reliability and the like in the mining machinery complete application analysis system based on BIM technology.
The foregoing is merely exemplary of the present application and the specific structures and/or characteristics of the present application that are well known in the art have not been described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (8)
1. Mining machinery complete set application analysis system based on BIM technique, its characterized in that: the system comprises a model building subsystem, an information management subsystem, a data acquisition subsystem, a data analysis subsystem, a BIM model and visualization subsystem and a decision support subsystem;
the model building subsystem is used for building a three-dimensional model by inputting original data of the mining machinery complete set application;
The information management subsystem is used for carrying out informatization processing on the model;
The data acquisition subsystem comprises a sensor integration module, a data preprocessing module and a data transmission module, wherein the sensor integration module is used for monitoring the running state, the position and the environmental parameters of the mining machinery in real time, the data preprocessing module is used for cleaning, filtering and formatting the original data, and the data transmission module is used for transmitting the processed data to the data analysis subsystem or the cloud storage platform;
the data analysis subsystem is used for carrying out deep analysis on the acquired data and carrying out pipeline collision detection;
the BIM model and the visualization subsystem are used for combining the data analysis result with the BIM model and displaying the data analysis result in an intuitive mode;
the decision support subsystem simulates and optimizes the construction scheme based on the informatization data of the model and the data analysis result, provides optimization suggestions and decision support, and generates a report.
2. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the input raw data includes physical information, attribute information, and spatial relationships of the devices to each other.
3. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the informatization processing comprises information input, inquiry and update of purchasing, transporting, installing and debugging links of the equipment.
4. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the sensor integration module comprises a speed sensor, a vibration sensor, an infrared sensor, a temperature sensor, a pressure sensor, an oil sensor, a GPS sensor, a mileage sensor, an angle sensor, a weather sensor, a soil humidity sensor, a soil quality sensor, a dust sensor, a noise sensor and a toxic gas sensor.
5. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: when the data analysis subsystem judges that the received vibration sensor data is abnormal, the analysis process of the data analysis subsystem is as follows:
The data analysis subsystem judges whether vibration data caused by the passing of organisms are abnormal according to the data of the infrared sensor;
the data analysis subsystem judges whether vibration data is abnormal caused by the passing of a vehicle or not according to the transportation data of the information management subsystem;
the data analysis subsystem judges whether the vibration data is abnormal due to geological disasters or not according to the vibration frequency and the fluctuation in the vibration sensor data;
And meanwhile, the data analysis subsystem judges whether the vibration data is abnormal due to mechanical faults or not according to the historical data of the vibration sensor data.
6. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the system also comprises an early warning subsystem, wherein the early warning subsystem is used for early warning abnormal conditions according to the analysis result of the data analysis subsystem.
7. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the system also comprises a safety management subsystem, wherein the safety management subsystem is used for monitoring the running state and the environmental parameters of the mining machinery in real time and warning and protecting the dangerous area in real time.
8. The mining machine suite application analysis system based on the BIM technique of claim 1, wherein: the system also comprises a user management subsystem which is used for giving different data access and use rights to different users according to different roles and responsibilities.
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| KR102290181B1 (en) * | 2020-08-25 | 2021-08-17 | 주식회사 이에스피 | Microseism monitoring system for sensing collapse of mine pit |
| CN113626920A (en) * | 2021-08-12 | 2021-11-09 | 浙江大学 | Engineering monitoring management system based on BIM +5G technology |
| CN113950661A (en) * | 2019-04-03 | 2022-01-18 | 利勃海尔工厂比伯拉赫股份有限公司 | Method and device for controlling a material handling and/or construction machine |
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| CN104808610A (en) * | 2015-02-13 | 2015-07-29 | 上海同筑信息科技有限公司 | Machinery control system and machinery control method based on a BIM (building information model) |
| US20190094834A1 (en) * | 2016-04-08 | 2019-03-28 | Liebherr-Werk Biberach Gmbh | Method and Device for Planning and/or Controlling and/or Simulating the Operation of a Construction Machine |
| CN108364123A (en) * | 2018-01-24 | 2018-08-03 | 浙江大学 | A kind of construction machinery managing device based on BIM technology |
| CN113950661A (en) * | 2019-04-03 | 2022-01-18 | 利勃海尔工厂比伯拉赫股份有限公司 | Method and device for controlling a material handling and/or construction machine |
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