Multi-machine cooperation and control intelligent fuel system and method based on artificial intelligence

Abstract

The invention discloses an intelligent fuel system and method based on multi-machine cooperation and control of artificial intelligence, and relates to the technical field of intelligent fuel processing, and the method comprises the steps that coal is unloaded to a belt through a ship unloader; coal is conveyed to a bucket wheel machine through a belt; coal is conveyed to a coal bunker through a bucket wheel machine; and the running states of the belt and the bucket wheel machine are monitored through wireless diagnosis. According to the remote full-automatic intelligent control system for the ship unloader, the coal unloading efficiency is greatly improved, and the risk of operation accidents is reduced; according to the full-automatic unattended control system of the bucket wheel machine, the continuity and automation of storage yard operation are realized, and the labor cost is obviously reduced; the wireless equipment diagnosis and monitoring platform improves the equipment maintenance efficiency and the response speed, and reduces the downtime; the image recognition-based coal conveying belt coal blockage and overflow recognition and early warning system effectively prevents the blockage and overflow problems in the fuel conveying process, and ensures the stable operation of a production line.

Description

Technical Field

[0001] The present invention relates to the field of intelligent fuel processing technology, and specifically to an intelligent fuel system and method based on artificial intelligence-based multi-machine collaboration and control. Background Art

[0002] With the rapid development of industrial automation and artificial intelligence technology, traditional fuel loading, unloading, transportation and monitoring technologies have gradually failed to meet the needs of modern industry for high efficiency, safety and environmental protection. In recent years, the application of multi-machine coordination and control technology, wireless communication technology and image recognition technology in fuel systems has provided new solutions for the intelligentization of fuel processing processes.

[0003] However, the existing fuel processing system still has certain deficiencies in terms of intelligence, collaborative control capabilities and fault warning. First, the existing ship unloader control system often relies on manual operation, which is not only inefficient but also difficult to ensure safety. Secondly, the bucket wheel excavator control system has not yet fully realized automation in terms of yard information digitization, resulting in a lack of precise management of the stacking, diversion and material retrieval processes. In addition, the monitoring of the coal conveyor belt system mostly relies on wired communication, which not only has high installation and maintenance costs, but also has a slow response speed to emergencies. Especially in the identification and early warning of coal blockage and coal overflow, the existing technology often lacks effective real-time monitoring means, making it difficult to accurately monitor the operating status of the coal conveyor belt and timely alarm. In response to the above problems, the present invention proposes an intelligent fuel system and method based on multi-machine collaboration and control of artificial intelligence. Through integrated and innovative technical solutions, it is expected to bring significant beneficial effects in improving fuel processing efficiency, reducing operating costs, and improving system safety. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing ship unloader control system relies on manual operation, which is inefficient and has the risk of human error. The present invention uses 3D scanning and intelligent algorithms to automatically determine the grabbing point through the remote fully automatic intelligent control system of the ship unloader, significantly improving the coal unloading efficiency and reducing the risk of operational accidents. The existing bucket wheel control system has not been fully automated in the digitization of yard information, resulting in low efficiency in material stacking and diversion, and cannot be unmanned. The existing coal conveyor belt system monitoring relies on wired communication, which is costly, complex in wiring, and slow in response speed. It is not suitable for flexible and fast equipment monitoring requirements. The existing technology has blind spots in the real-time monitoring of coal blockage and coal overflow, which may lead to blockage and overflow accidents during the coal stacking process, affecting the stability of the entire fuel system.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a smart fuel system based on multi-machine coordination and control of artificial intelligence, which includes the following steps:

[0007] Ship unloader remote fully automatic intelligent control system, bucket wheel excavator fully automatic unattended control system, wireless equipment diagnosis and monitoring platform, and coal conveyor belt blockage and coal overflow identification and early warning system based on image recognition.

[0008] As a preferred solution of the intelligent fuel system based on artificial intelligence for multi-machine coordination and control described in the present invention, the remote fully automatic intelligent control system of the ship unloader is responsible for providing grabbing points for the ship unloader.

[0009] The bucket wheel machine fully automatic unattended control system is responsible for establishing digital yard information.

[0010] The wireless equipment diagnosis and monitoring platform monitors the operating status of rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and the temperature and vibration signals are wirelessly transmitted to the server for analysis.

[0011] The coal conveyor belt blockage and coal overflow identification and early warning system based on image recognition monitors through a camera whether there is coal blockage or coal overflow at the coal drop bucket mouth from the upper coal conveyor belt to the lower belt and alarms.

[0012] Another object of the present invention is to provide an intelligent fuel method based on artificial intelligence-based multi-machine collaboration and control, which can realize the automation and intelligence of the fuel processing process through integrated innovative technical means and intelligent algorithms, and solve the problems of complex operation, low efficiency, safety hazards and insufficient monitoring in the existing fuel processing system.

[0013] In order to solve the above technical problems, the present invention provides the following technical solutions: a smart fuel method based on multi-machine coordination and control based on artificial intelligence, comprising:

[0014] The coal is unloaded onto the conveyor belt via a ship unloader.

[0015] The coal is conveyed to the bucket wheel by belt.

[0016] The coal is transported to the coal bunker by bucket wheel excavator.

[0017] Monitor the operating status of belt and bucket wheel machines through wireless diagnostics.

[0018] As a preferred solution of the intelligent fuel system based on artificial intelligence multi-machine coordination and control described in the present invention, the unloading of coal to the belt through the ship unloader includes using a 3D scanning system to obtain the hull shape and the distribution of materials in the cabin for analysis and modeling.

[0019] As a preferred solution of the intelligent fuel system based on artificial intelligence multi-machine coordination and control described in the present invention, the unloading of coal to the belt by the ship unloader also includes monitoring by a camera whether there is coal blockage or coal overflow at the coal bucket mouth from the upper coal conveyor belt to the lower coal conveyor belt and giving an alarm.

[0020] As a preferred solution of the intelligent fuel system based on artificial intelligence multi-machine coordination and control described in the present invention, wherein: the coal is transported to the bucket wheel machine by belt, and the bucket wheel machine is responsible for stacking, diverting and taking materials.

[0021] As a preferred solution of the intelligent fuel system based on artificial intelligence multi-machine coordination and control described in the present invention, the stacking includes stacking coal in a designated place.

[0022] The diversion includes placing part of the coal pile to a designated site, directly transporting part of the coal pile to a raw coal bunker through a subsequent belt, or directly transporting all of the coal pile to a raw coal bunker through a subsequent belt.

[0023] The material taking includes taking the coal on the designated site to the coal conveyor belt, and directly transporting it to the raw coal bunker through the subsequent belt.

[0024] As a preferred solution of the intelligent fuel system based on artificial intelligence for multi-machine coordination and control described in the present invention, the monitoring of the operating status of the belt and bucket wheel machine includes monitoring the operating status of the rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and transmitting the temperature and vibration signals wirelessly to the server for analysis.

[0025] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the smart fuel method for multi-machine coordination and control based on artificial intelligence as described above are implemented.

[0026] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the smart fuel method for multi-machine coordination and control based on artificial intelligence as described above.

[0027] Beneficial effects of the present invention: The 3D scanning system can collect the three-dimensional shape and material distribution data of the cabin in real time, and analyze these data through intelligent algorithms to automatically determine the coal unloading grabbing point. This method avoids the traditional grabbing method that relies on manual experience, thereby significantly improving the grabbing accuracy and coal unloading speed, especially in the case of complex cabin structures or irregular coal piles. The yard management system can automatically update the digital yard information based on the real-time sensor feedback information, and link this information with the control algorithm of the bucket wheel machine to ensure the accuracy and continuity of stacking and material collection. The wireless temperature and vibration measurement module can monitor the key rotating parts of the coal conveyor belt and the bucket wheel machine in real time, such as bearing temperature, motor vibration frequency and other parameters, to ensure that the equipment is in a safe operating state. Compared with the wired connection method, the wireless diagnostic module can greatly reduce the difficulty of wiring and maintenance, and its response time is shortened to less than 100 milliseconds, and it can issue an early warning at the moment of a fault. The present invention can identify in real time whether there is coal blockage or overflow through a high-definition camera installed at the coal drop bucket and an intelligent image analysis algorithm. At the same time, the present invention can also automatically adjust the running speed of the belt according to the speed of the coal flow, the particle size and the conveying state, so as to prevent blockage or coal overflow caused by too slow or too fast speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0029] Figure 1 The overall framework diagram of the intelligent fuel system for multi-machine coordination and control based on artificial intelligence provided in the first embodiment of the present invention.

[0030] Figure 2 Diagram of a remote fully automatic intelligent control system for a ship unloader in a smart fuel system with multi-machine coordination and control based on artificial intelligence provided in the first embodiment of the present invention.

[0031] Figure 3 An overall flow chart of a smart fuel method for multi-machine collaboration and control based on artificial intelligence provided for the second embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0033] Example 1, reference Figure 1-Figure 2 , which is an embodiment of the present invention, provides a smart fuel system based on artificial intelligence multi-machine coordination and control, characterized in that:

[0034] like Figure 2 As shown, there are a ship unloader remote fully automatic intelligent control system 100, a bucket wheel excavator fully automatic unattended control system 200, a wireless equipment diagnosis and monitoring platform 300, and a coal conveyor belt blockage and coal overflow identification and early warning system 400 based on image recognition.

[0035] The ship unloader remote fully automatic intelligent control system 100 is responsible for providing grabbing points for the ship unloader.

[0036] The bucket wheel excavator fully automatic unattended control system 200 is responsible for establishing digital yard information.

[0037] The wireless equipment diagnosis and monitoring platform 300 monitors the operating status of rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and the temperature and vibration signals are wirelessly transmitted to the server for analysis.

[0038] The coal conveyor belt blockage and coal spillage identification and early warning system 400 based on image recognition monitors through a camera whether there is blockage or coal spillage at the coal drop bucket mouth from the upper coal conveyor belt to the lower coal conveyor belt and alarms.

[0039] The ship unloader remote fully automatic intelligent control system includes the YPSS system and the ACCS system.

[0040] Using advanced 3D scanning, video rapid imaging and other high-tech technologies, the control system of the grabbing and unloading function of the conventional grab ship unloader is redesigned. Under the premise of single cabin operation, the hull shape and the distribution of materials in the cabin are obtained by the 3D scanning system for analysis and modeling to provide a suitable grab point for the ship unloader; at the same time, the traditional main electronic control program of the ship unloader is innovatively designed to achieve safe, reliable, automatic grabbing and unloading of materials by the grab ship unloader; during the fully automatic operation, advanced rapid imaging systems and detection technologies are used to provide comprehensive safety protection for the equipment. (The fully automatic design does not take into account the special working conditions of cabin transfer and cabin cleaning. During the fully automatic process, the driver does not need to operate the handle, and all actions are completed automatically by the program intelligence.)

[0041] YPSS system (laser scanning system): uses a 3D laser scanning system to obtain three-dimensional data on material distribution and ship type data in the cabin and perform related modeling and analysis.

[0042] ACCS system: Modeling and software programming of the grabbing process algorithm of the ship unloader, providing the material grabbing point location information for the main electronic control system of the ship unloader. Main control system of the ship unloader: On the basis of inheriting all the functions of the conventional grab ship unloader, it has expanded the full automatic function, and automatically completes the full set of grabbing and unloading operations of the ship unloader according to the grabbing point location provided by ACCS.

[0043] Grab bucket movement posture detection: The whole process of grab bucket movement is captured by the camera installed on the ship unloader beam. The principle is to quickly capture the grab bucket movement process through a high-speed camera, generate tens of thousands of photos, and transmit the photos to the IPC industrial control computer in the background through field bus communication. Then, the software integrated on the IPC uses video image processing technology, deep learning technology, feature area segmentation and other methods to calculate and capture the position and posture of the grab bucket in the video stream in real time.

[0044] Safety protection system: realize anti-collision protection between the ship unloader trolley travel system, front beam, grab bucket and cabin.

[0045] Video surveillance system: All important parts of the ship unloader are covered with video safety protection surveillance.

[0046] Example 2, reference Figure 3 , which is an embodiment of the present invention, provides a method for a smart fuel system based on artificial intelligence multi-machine coordination and control, characterized in that:

[0047] The coal is unloaded onto the conveyor belt via a ship unloader.

[0048] The coal is conveyed to the bucket wheel by belt.

[0049] The coal is transported to the coal bunker by bucket wheel excavator.

[0050] Monitor the operating status of belt and bucket wheel machines through wireless diagnostics.

[0051] The coal is unloaded onto the conveyor belt by the ship unloader, and the 3D scanning system is used to obtain the hull shape and the distribution of materials in the cabin for analysis and modeling.

[0052] Furthermore, the control system of the grabbing and unloading function of the conventional grab ship unloader is redesigned by using advanced 3D scanning, video rapid imaging and other high-tech technologies. Under the premise of single cabin operation, the hull shape and the distribution of materials in the cabin are obtained by the 3D scanning system for analysis and modeling to provide a suitable grab point for the ship unloader; at the same time, the traditional main electronic control program of the ship unloader is innovatively designed to achieve safe, reliable, automatic grabbing and unloading of materials by the grab ship unloader; during the fully automatic operation, advanced rapid imaging systems and detection technologies are used to provide comprehensive safety protection for the equipment.

[0053] By using automatic control, laser 3D scanning, precise positioning technology and other means, digital yard information is established to realize remote, fully automatic and unattended control of bucket wheel excavators, including precise positioning, automatic addressing, automatic material taking, automatic material stacking, optimized diversion, constant flow control, optimized coal stacking, real-time inventory, safety protection, centralized control, and remote monitoring.

[0054] Unloading coal to the belt by the ship unloader also includes monitoring by camera whether there is coal blockage or coal overflow at the coal bucket mouth from the upper coal conveying belt to the lower coal conveying belt and alarming.

[0055] Furthermore, the real-time video image is converted into a grayscale image, convolution calculation is performed, edge detection is performed, the corresponding model is substituted, features are extracted, threshold comparison and judgment are performed, and action signals are output.

[0056] The coal is transported to the bucket wheel machine by belt, which is responsible for stacking, diverting and reclaiming.

[0057] Stockpiling includes stacking coal at designated sites.

[0058] Diversion includes placing part of the coal pile to a designated site, transporting part of it directly to the raw coal bunker through subsequent belts, or transporting all of it directly to the raw coal bunker through subsequent belts.

[0059] Material taking includes taking coal from the designated site to the coal conveyor belt, and then transporting it directly to the raw coal bunker through the subsequent belt.

[0060] Monitoring the operating status of belts and bucket wheel machines includes monitoring the operating status of rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and transmitting temperature and vibration signals wirelessly to the server for analysis.

[0061] By using intelligent coal flow tracking technology, real-time tracking of the coal quantity and quality entering the furnace can be achieved, a real-time stratification model for the coal bunker can be established, and real-time and accurate prediction and real-time monitoring of the type and quality of coal entering the furnace can be achieved, thereby improving the safety of boiler operation; and further realizing real-time and accurate calculation of coal consumption for positive balance power generation of sub-units.

[0062] Through intelligent coal blending and combustion technology, the best blending scheme that meets safety, environmental protection and economy is predicted based on boiler design parameters, incoming coal information, load distribution, coal yard inventory, historical blending evaluation, equipment operating conditions and other conditions, and SIS monitoring data is obtained to conduct online evaluation of the actual blending and combustion situation, track the blending execution effect and feedback the optimization blending model, and guide fuel procurement and storage at the same time, realizing intelligent closed-loop management of blending and combustion. Establish an intelligent coal blending and combustion mathematical model based on mixed coal combustion prediction, change the backward method of using manual experience or coal quality indicators as the basis for coal blending and combustion, and realize scientific and intelligent coal blending and combustion of mixed coal.

[0063] Through the intelligent control technology of the coal transportation system, the smart fuel management system can issue work orders and provide operation guidance for coal transportation program control, bucket wheel stacker and reclaimer, and ship unloader. It is further combined with intelligent coal blending and combustion technology to ultimately achieve intelligent control of the entire coal transportation process.

[0064] By using precise analysis technology of the quantity and quality of coal entering the furnace, a real-time stratification model for the coal bunker is established to achieve real-time and accurate prediction and real-time monitoring of the type and quality of coal entering the furnace for combustion, thereby improving the safety of boiler operation.

[0065] The 3D scanning equipment scans the cabin boundary and the distribution of materials in the cabin, analyzes and models the scanned data, and establishes a three-dimensional model of the grab ship unloader's operating environment.

[0066] The rapid camera technology is applied to the grab bucket anti-collision application of the grab ship unloader to monitor and protect the key points of the grab bucket position in real time, effectively avoiding the collision between the grab bucket and the cabin.

[0067] The software development of the ship unloader's fully automatic control system inherits the original functions of the ship unloader and adds the fully automatic unmanned operation function of the ship unloader under single-chamber working conditions.

[0068] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0070] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The intelligent fuel system based on artificial intelligence multi-machine coordination and control is characterized by: include: A ship unloader remote fully automatic intelligent control system (100), a bucket wheel machine fully automatic unattended control system (200), a wireless equipment diagnosis and monitoring platform (300), and a coal conveyor belt blockage and coal overflow identification and early warning system (400) based on image recognition.

2. The multi-machine coordination and control intelligent fuel system based on artificial intelligence as claimed in claim 1 is characterized by: The ship unloader remote fully automatic intelligent control system (100) is responsible for providing a grabbing point for the ship unloader; The bucket wheel machine fully automatic unattended control system (200) is responsible for establishing digital yard information; The wireless equipment diagnosis and monitoring platform (300) monitors the operating status of the rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and the temperature and vibration signals are wirelessly transmitted to the server for analysis; The coal conveyor belt blockage and coal overflow identification and warning system (400) based on image recognition monitors through a camera whether there is blockage or coal overflow at the coal drop bucket mouth from the upper coal conveyor belt to the lower coal conveyor belt, and then issues an alarm.

3. A method for a smart fuel system using multi-machine coordination and control based on artificial intelligence as described in any one of claims 1 to 2, characterized in that: include: The coal is unloaded onto the belt by the ship unloader; The coal is conveyed to the bucket wheel by belt; The coal is transported to the coal bunker by bucket wheel excavator; Monitor the operating status of belt and bucket wheel machines through wireless diagnostics.

4. The smart fuel method for multi-machine coordination and control based on artificial intelligence as claimed in claim 3 is characterized by: The unloading of coal to a belt by means of a ship unloader includes obtaining the shape of the ship and the distribution of materials in the cabin by means of a 3D scanning system for analysis and modeling.

5. The intelligent fuel method for multi-machine coordination and control based on artificial intelligence as claimed in claim 4 is characterized by: The unloading of coal to the belt by the ship unloader also includes monitoring by a camera whether there is coal blockage or coal overflow at the coal bucket mouth from the upper coal conveying belt to the lower belt and alarming.

6. The smart fuel method for multi-machine coordination and control based on artificial intelligence as claimed in claim 5, characterized in that: The method of conveying coal to the bucket wheel machine through a belt includes that the bucket wheel machine is responsible for stacking, diverting and taking materials.

7. The intelligent fuel method for multi-machine coordination and control based on artificial intelligence as claimed in claim 6, characterized in that: The stockpiling includes stacking the coal at a designated site; The diversion includes placing part of the coal pile to a designated site, transporting part of the coal pile directly to the raw coal bunker through a subsequent belt, or transporting all of the coal pile directly to the raw coal bunker through a subsequent belt; The material taking includes taking the coal on the designated site to the coal conveyor belt, and directly transporting it to the raw coal bunker through the subsequent belt.

8. The intelligent fuel method for multi-machine coordination and control based on artificial intelligence as claimed in claim 7, characterized in that: The monitoring of the operating status of the belt and bucket wheel machine includes monitoring the operating status of the rotating equipment in the coal transportation system through wireless temperature and vibration measurement modules, and transmitting the temperature and vibration signals to the server for analysis through wireless transmission.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent fuel system based on artificial intelligence multi-machine coordination and control as described in any one of claims 3 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent fuel system based on artificial intelligence multi-machine coordination and control as described in any one of claims 3 to 8 are implemented.

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