Intelligent operation system and method for paste filling system

Abstract

The invention relates to the technical field of artificial intelligence, in particular to an intelligent operation system and method for a paste filling system. According to the invention, the detection system detects the real-time operation parameters of each device in the paste filling system, the paste parameters of the paste filling system and the connection mode data between the devices in the paste filling system; the master control system generates and displays an equipment topological graph provided with real-time operation parameters of each equipment based on the detected data, so that a worker can remotely know the operation condition of each equipment in the paste filling system, and the master control system not only can manually set a control instruction, but also can remotely control the equipment in the paste filling system. In addition, a control instruction can be automatically generated based on the collected data, the control instruction is sent to the execution control system through the communication system, and the execution control system controls the paste filling equipment based on the received control instruction, so that intelligent operation is facilitated, and the working efficiency is improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of artificial intelligence, and particularly to an intelligent operation system and method for a paste filling system. Background Art

[0002] The coal mine paste filling technology converts solid waste such as gangue and fly ash into filling materials, realizing the harmless treatment and resource utilization of bulk solid waste, reducing the risk of surface subsidence, and promoting the green development of the coal industry.

[0003] Due to the extremely high risks such as cave-ins and gas explosions in traditional mine exploitation work, in the paste filling system, realizing the intelligent operation of the paste filling system and minimizing the number of personnel entering the mine to reduce the risk of casualties is one of the urgent problems to be solved. Summary of the Invention

[0004] To solve the technical problems in the above background art, the present invention provides an intelligent operation system and method for a paste filling system, which helps to realize the intelligent operation of the paste filling system, not only helps to reduce the risk of casualties, but also can reliably control the filling process and improve work efficiency.

[0005] To achieve the above technical solution, in the first aspect, the present invention provides an intelligent operation system for a paste filling system. The paste filling system includes a feeding device, a water supply device, a mixing device, a pumping device, and a conveying pipeline. The intelligent system includes: a communication system, an alarm system, a general control system, and a detection system and an execution control system that are data-connected to the paste filling system; The detection system is connected to the paste filling system and is used to detect the real-time operation parameters of each device in the paste filling system, the paste parameters of the paste filling system, and the connection modes between the devices in the paste filling system; The general control system is connected to the detection system through the communication system and is used to analyze the operation parameters and paste parameters detected by the detection system, generate control instructions and alarm information, and generate a device topology diagram based on the connection modes, and display the connection modes of the devices in the paste filling system in the form of the device topology diagram. Among them, the real-time operation parameters of each device are also set on the device topology diagram; The general control system is connected to the alarm system and is used to control the alarm system to alarm based on the generated alarm information; The general control system is also connected to the execution control system through the communication system to send the generated control instructions to the execution control system; The execution control system is connected to the paste filling system through an intelligent control bus, so that the execution control system controls the devices in the paste filling system based on the received control instructions.

[0006] Furthermore, the intelligent operation system further includes a life cycle prediction system, which is connected to the master control system. The life cycle prediction system is used to predict the remaining life of each device in the paste filling system based on the real-time operation parameters received by the master control system and the data in the fault database. The master control system is also used to display the remaining life of each device predicted by the life cycle prediction system on the device topology diagram.

[0007] Furthermore, the master control system includes: a central controller, which is connected to a human-computer interaction module, a data sending module, a data acquisition module, a topology generation module, and a first anomaly judgment module; The human-computer interaction module is used to input control instructions and preset the threshold range of the operation parameters of the paste filling system; The data acquisition module is used to obtain the real-time operation parameters of each device, the connection relationship and attribute hierarchy between each device, and the paste parameters detected by the detection system through the communication system; The topology generation module is used to generate a device topology diagram based on the connection relationship and attribute hierarchy between each device in the paste filling system obtained; The first anomaly judgment module is used to judge whether the real-time operation parameters of each device meet its preset parameter threshold range. If all devices meet their preset parameter threshold ranges, no alarm information is generated; if any one of the devices does not meet its preset operation parameter threshold range, a first alarm information is generated; The data sending module is used to send control instructions to the execution control system, and the execution control system adjusts the operation parameters of the corresponding devices in the paste filling system based on the received control instructions.

[0008] Furthermore, the master control system further includes: a second anomaly judgment module, a third anomaly judgment module, and a paste adjustment module, all of which are connected to the central controller; The second anomaly judgment module is used to judge whether the paste parameters meet their preset paste parameter range. If not, a second alarm information is generated; The third anomaly judgment module is used to judge whether there is a first alarm information when the second alarm information is generated; if not, an adjustment instruction is generated; The paste adjustment module is used to generate control instructions for controlling and adjusting the real-time operation parameters of the devices in the paste filling system in the case of the generated adjustment instruction.

[0009] Furthermore, the paste adjustment module includes a paste adjustment network model construction module and a paste adjustment network model training module; The paste adjustment network model construction module is used to construct a paste adjustment network model based on an artificial neural network; The paste adjustment network model training module is used to train the constructed paste adjustment network model.

[0010] Further, the total control system further includes a timing module and a fourth judgment module connected to the central controller; The timing module is used to perform timing when the data sending module sends a control instruction to the execution control system, and generate a timing completion instruction when a preset time period is reached; The fourth judgment module is used to judge whether there is still a second alarm message generated when the timing completion instruction is generated. If so, a third alarm message is generated.

[0011] Further, the alarm system includes: a first alarm module for alarming based on the first alarm message; A second alarm module for alarming based on the second alarm message; A third alarm module for alarming based on the third alarm message.

[0012] In a second aspect, the present invention provides an intelligent operation method for a paste filling system, characterized in that the method includes: Step 1: Detect the connection mode between the devices in the paste filling system, and generate a device topology diagram for display based on the detected connection mode; Step 2: Detect the real-time operation parameters of the devices in the paste filling system and the paste parameters of the paste filling system; Step 3: Analyze the detected real-time operation parameters and paste parameters to generate a control instruction and an alarm message; Step 4: Control the alarm system to alarm based on the generated alarm message; Step 5: Connect to the execution control system through the communication system to send the generated control instruction to the execution control system; Step 6: The execution control system is connected to the paste filling system through the intelligent control bus, so that the execution control system controls the real-time operation parameters of the devices in the paste filling system based on the received control instruction.

[0013] In a third aspect, the present invention provides a computer-readable storage medium. The computer-readable storage medium includes a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute the above-mentioned intelligent operation method for a paste filling system.

[0014] The beneficial effects of the present invention are as follows: (1) The present invention detects the real-time operating parameters of each device in the paste filling system, the paste parameters of the paste filling system, and the connection mode data between the devices in the paste filling system through a detection system, and sends the detected data to the master control system through a communication system. The master control system generates a device topology diagram with the real-time operating parameters of each device based on the received data, and displays the device topology diagram and the paste filling parameters, enabling the staff to remotely understand the operating conditions of each device in the paste filling system, reducing the number of times of entering the site. Moreover, the master control system can not only manually set control instructions, but also automatically generate control instructions based on the collected data, and send the control instructions to the execution control system through the communication system. The execution control system controls the paste filling equipment based on the received control instructions, thereby contributing to the realization of intelligent operation and improving the work efficiency to a certain extent.

[0015] (2) The present invention also has a fault prediction system and a life prediction system for predicting the service life of each device in the paste filling system. According to the fault prediction system, when a fault occurs, it can quickly locate the problem for the staff and improve the efficiency of problem-solving. The life prediction system predicts the service life of each device and displays the life of the corresponding device on the device topology diagram in real time, so that the staff can replace and maintain in time, further contributing to improving the work efficiency. Brief Description of the Drawings

[0016] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0017] Figure 1 It is a principle block diagram of an intelligent operation system for a paste filling system of the present invention.

[0018] Figure 2 It is a principle block diagram of an execution control system of an intelligent operation system for a paste filling system of the present invention.

[0019] Figure 3 It is a principle block diagram of a detection system of an intelligent operation system for a paste filling system of the present invention.

[0020] Figure 4 It is a principle block diagram of a master control system of an intelligent operation system for a paste filling system of the present invention.

[0021] Figure 5 It is a principle block diagram of an alarm system of an intelligent operation system for a paste filling system of the present invention.

[0022] Figure 6Flow chart of an intelligent operation method for a paste filling system of the present invention. Detailed implementation mode

[0023] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present invention. Unless otherwise specified, each technical and scientific term used in this embodiment has the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0025] It should be noted that the terms used herein are only for describing specific implementation modes and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0026] In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. They are only relationship terms determined for the convenience of describing the structural relationship of each component or element of the present invention and do not specifically refer to any component or element in the present invention and should not be construed as a limitation to the present invention.

[0027] In the present invention, terms such as "fixed connection", "connected", "connected" should be understood in a broad sense, which may mean a fixed connection, an integral connection or a detachable connection; it may be directly connected or indirectly connected through an intermediate medium. For relevant scientific research or technical personnel in this field, the specific meaning of the above terms in the present invention can be determined according to specific circumstances and should not be construed as a limitation to the present invention. Embodiment 1: As Figure 1 shown, this embodiment provides an intelligent operation system for a paste filling system. The paste filling system includes a feeding device, a water supply device, a stirring device, a pumping device and a conveying pipeline: The intelligent operation system includes: a communication system 3, an alarm system 2, a general control system 1, and a detection system 4 and an execution control system 5 that are data-connected to the paste filling system.

[0028] The detection system 4 is connected to the paste filling system to detect the real-time dynamic information of the paste filling system and the connection modes among the devices in the paste filling system; the real-time dynamic information includes: paste parameters and the operating parameters of the devices in the paste filling system; the operating parameters include: the feeding speed of the feeding device, the water supply speed of the water supply device, the stirring speed of the stirring device, the pumping speed of the pumping device, the pipeline pressure of the conveying pipeline, and the operating time of each device; the paste parameters include: the paste concentration in the conveying pipeline and the paste flow rate.

[0029] The master control system 1 is connected to the detection system 4 through the communication system 3 to analyze the real-time dynamic information detected by the detection system 4, generate control instructions and alarm information, and generate a device topology diagram based on the connection mode, and display the connection modes and real-time dynamic information of the devices in the paste filling system in the form of the device topology diagram.

[0030] The master control system 1 is connected to the alarm system 2 to control the alarm system 2 to give an alarm based on the generated alarm information.

[0031] The master control system 1 is also connected to the execution control system 5 through the communication system 3 to send a control instruction for starting according to a pre-set logical start sequence to the execution control system 5 when initially starting the paste filling system, and to send the generated control instructions to the execution control system 5 during the operation of the paste filling system.

[0032] The execution control system 5 is connected to the paste filling system through the intelligent control bus, so that the execution control system 5 starts the paste filling system or controls the corresponding devices in the paste filling system based on the received control instruction for starting according to the pre-set logical start sequence or the generated control instructions.

[0033] More specifically, as Figure 2 shown, the execution control system 5 includes: a first execution module 5-1 for controlling the feeding speed of the feeding device, a second execution module 5-2 for controlling the water supply speed of the water supply device, a third execution module 5-3 for controlling the stirring speed of the stirring device, and a fourth execution module 5-4 for controlling the pumping parameters of the pumping device.

[0034] As Figure 3 shown, the detection system 4 includes: a first detection module 4-1 for obtaining the connection relationships and attribute levels among the devices in the paste filling system, a second detection module 4-2 for detecting the real-time operating parameters of the devices in the paste filling system, and a third detection module 4-3 for detecting the paste parameters.

[0035] The second detection module 4-2 includes: a feeding detection module for detecting the feeding speed and running time of the feeding device, a water supply detection module for detecting the water supply speed and water supply time of the water supply device, a stirring detection module for detecting the stirring speed and stirring time of the stirring device, a pumping detection module for detecting the pumping speed of the pumping device, and a pressure detection module for detecting the pipeline pressure of the conveying pipeline.

[0036] The third detection module 4-3 includes: a concentration detection module for detecting the concentration of the paste pumped by the pumping device in the paste filling system and a flow rate detection module for detecting the flow rate of the paste in the conveying pipeline.

[0037] As Figure 4 shown, the total control system includes: a central controller 1-1, and the central controller 1-1 is connected to the following modules: (a) A human-machine interaction module 1-2 for inputting control instructions and presetting the threshold range of the operating parameters of the paste filling system.

[0038] Among them, the system threshold parameters include: the threshold range of the feeding speed, the threshold range of the water supply speed, the threshold range of the stirring speed, the threshold range of the pumping speed, the threshold range of the pipeline pressure, the threshold range of the paste concentration, and the threshold range of the paste flow rate.

[0039] (b) A data acquisition module 1-3 for acquiring the real-time operating parameters detected by the detection system, the connection relationship and attribute hierarchy between devices, and the paste parameters through the communication system; (c) A topology generation module 1-4 for generating a device topology diagram based on the connection relationship and attribute hierarchy between devices in the paste filling system. Among them, the real-time operating parameters of each device are also set on each device on the device topology diagram.

[0040] (d) A first anomaly judgment module 1-5 for judging whether the real-time operating parameters of each device conform to its preset operating parameter threshold range. If all devices conform to their preset parameter threshold ranges, no alarm information is generated; if any one of the devices does not conform to its preset operating parameter threshold range, a first alarm information is generated.

[0041] (e) A second anomaly judgment module 1-6 for judging whether the paste parameters conform to their preset paste parameter range. If not, a second alarm information is generated.

[0042] (f) A third anomaly judgment module 1-7 for judging whether the first alarm information and the second alarm information are generated simultaneously. If so, a third alarm information is generated; if not (that is, only the first alarm information is generated, only the second alarm information is generated, and neither the first alarm information nor the second alarm information is generated), an adjustment instruction is generated.

[0043] (h)Paste adjustment module 1-8, including: paste adjustment network model construction module, used to construct a paste adjustment network model based on an artificial neural network; paste adjustment network model training module, used to train the constructed paste adjustment network model based on historical data.

[0044] The paste adjustment network model is used to input the detected paste parameters into the pre-trained paste adjustment network model when generating adjustment instructions, so as to output control instructions for controlling and adjusting the real-time operating parameters of the equipment of the paste filling system.

[0045] Among them, the artificial neural network model is based on historical data, and through its self-organization, adaptive learning and training, it can quickly and accurately adjust the operating parameters of each device in the paste filling system.

[0046] The construction process of the paste adjustment network model is specifically as follows: (1)Normalize the collected abnormal paste parameter data as the sample data for artificial neural network learning.

[0047] (2)Establish a hierarchical recursive artificial neural network model for adjusting paste concentration abnormality and paste flow rate abnormality; and use the collected sample data for neural network training and learning; Specifically, it includes the following steps: The first level of the hierarchical recursive artificial neural network model consists of multiple independent neural networks. Each network is used to perform multi-step time series prediction on the operating parameters of each device in the paste filling system to obtain the operating parameter time series signal, that is, predict the values at future time nodes according to the observed values of paste parameters; Input the time series signal of the operating parameter: x i =[x i (t-k), …, x i (t-2), x i (t-1)] into the artificial neural network. The network performs forward calculation to obtain the actual output value of multi-step time series prediction y i =[y i (t+1), y i (t+2), …, y i (t+m)]. Form an error by comparing the predicted actual output value with the corresponding expected output value y' i =[y' i (t+1), y' i (t+2), …, y' i (t+m)] in the training data, and train the neural network through error backpropagation to establish a multi-step prediction model; The multiple prediction results of the first-level artificial neural network at the same moment are synthesized to obtain a more accurate and stable prediction result. The calculation method is as follows: y s i (t + k) = λ1y 1i (t + k) + λ2y 2i (t + k) +,... λmy mi (t + k) Among them, λ1,... λm are the weights of the multi-step prediction results at time (t + k).

[0048] In the hierarchical recursive neural network model, the second-level neural network is used to perform adjustment prediction. The future moment signal output by the first-level neural network and other reaction adjustment data are input into the second-level neural network for forward calculation to obtain the adjustment type code. The error is obtained through the expected output value and the actual output value, and then the neural network is trained by error backpropagation to establish a paste adjustment network model.

[0049] (i)The data sending module 1-9 is used to send control instructions to the execution control system. The execution control system adjusts the operating parameters of the corresponding equipment in the paste filling system based on the received control instructions.

[0050] For example, when the detected paste concentration is lower than the preset paste concentration threshold, the adjustment neural network model may generate an increase in the water flow rate within the preset water flow rate threshold range of the water supply equipment.

[0051] (g)The timing module 1-10 is used to time when the data sending module sends control instructions to the execution control system, and generates a timing completion instruction when the preset time period is reached.

[0052] (k)The fourth judgment module 1-11 is used to judge whether there is still a second alarm message or a third alarm generated when the timing completion instruction is generated. If so, a third alarm message is generated.

[0053] The alarm system is substantially connected to the central controller of the total control system. The central controller controls the alarm system to alarm based on the generated third alarm message.

[0054] (l)The data storage module 1-12 is used to store the received data and the parameters preset through the human-machine interaction module.

[0055] (m)The human-machine interaction module 1-2 is also used to display the generated equipment topology diagram for the staff to observe the operation status of the paste filling system in real time.

[0056] As Figure 5 shown, the alarm system 2 includes: a first alarm module 2-1 for alarming based on the first alarm information.

[0057] The second alarm module 2-2 is used to give an alarm based on the second alarm information.

[0058] The third alarm module 2-3 is used to give an alarm based on the third alarm information.

[0059] By using different alarm modules to give an alarm, the staff can be prompted by classification, so that the staff can timely understand the reason for the alarm.

[0060] Furthermore, the intelligent operation system further includes a life cycle prediction system, which is connected to the master control system. The life cycle prediction system is used to predict the remaining life of each device in the paste filling system through the real-time operation parameters received by the master control system and the data in the fault database.

[0061] The life cycle prediction system is used to predict the remaining life of each device in the paste filling system.

[0062] The life cycle prediction system includes: a fault database for storing the fault records and maintenance records of each device in the paste filling system.

[0063] The curve drawing module is used to draw a failure rate curve based on the fault records, maintenance, operation parameters and operation time records in the fault database.

[0064] The life analysis module is used to perform life analysis on each device in the paste filling system, predict the remaining life, identify the fault type by using a bidirectional GRU neural network, find out the reasons for the decline of the device life, and propose corresponding improvement measures.

[0065] Embodiment 2: As Figure 6 shown, this embodiment provides an intelligent operation method for a paste filling system, and the method includes: S1: Detect the connection mode between each device in the paste filling system, and generate a device topology diagram for display based on the detected connection mode.

[0066] S2: The master control system sends a control instruction of a preset logical start sequence to the execution control system through the communication system, so that the execution control system starts each device in the paste filling system based on the received control instruction of the preset logical start sequence.

[0067] S3: Detect the real-time operation parameters of each device in the paste filling system and the paste parameters of the paste filling system.

[0068] Specifically, detect the feeding speed and running time of the feeding equipment, the water supply speed and water supply time of the water supply equipment, the stirring speed and stirring time of the stirring equipment, the pumping speed and pumping time of the pumping equipment, the pipeline pressure of the conveying pipeline, the paste concentration pumped by the pumping equipment, and the flow rate of the paste in the conveying pipeline.

[0069] S4: Analyze the detected real-time operating parameters and paste parameters to generate control instructions and alarm messages.

[0070] Specifically, it includes the following steps: S4-1: Determine whether the real-time operating parameters of each device in the paste filling system conform to their preset operating parameter threshold ranges. If all devices conform to their preset parameter threshold ranges, no alarm message is generated; if any one of them does not conform to its corresponding preset operating parameter threshold range, a first alarm message is generated.

[0071] S4-2: Determine whether the paste parameters conform to their preset paste parameter ranges. If not, a second alarm message is generated.

[0072] S4-3: Determine whether the first alarm message and the second alarm message are generated simultaneously. If so, a third alarm message is generated; if not (that is, only the first alarm message is generated, only the second alarm message is generated, or neither the first alarm message nor the second alarm message is generated), a regulation instruction is generated, and regulation is performed based on the generated regulation instruction.

[0073] The regulation based on the generated regulation instruction includes: Construct a paste regulation network model and pre-train the constructed paste regulation network model; When a regulation instruction is generated, input the detected paste parameters into the pre-trained paste regulation network model to output a control instruction for controlling and regulating the real-time operating parameters of the devices in the paste filling system.

[0074] Send the generated control instruction to the execution control system and start timing.

[0075] The execution control system controls and regulates the corresponding devices in the paste filling system based on the received control instruction.

[0076] When the timing reaches the preset time period, a timing completion instruction is generated.

[0077] When the timing completion instruction is generated, determine whether there is still a second alarm message or a third alarm message generated. If so, a third alarm message is generated.

[0078] S5: Control the alarm system to give an alarm based on the generated alarm message.

[0079] Specifically, if the first alarm information is generated, control the first alarm module to give an alarm.

[0080] If the second alarm information is generated, control the second alarm module to give an alarm.

[0081] If the third alarm information is generated, control the third alarm module to give an alarm.

[0082] S6: Send the generated control instruction to the execution control system through the communication system.

[0083] S7: Based on the received control instruction, the execution control system controls the real-time operation parameters of the devices in the paste filling system.

[0084] Embodiment 3: This embodiment provides a computer-readable storage medium. The computer-readable storage medium includes a stored program. When the program runs, it controls the device where the computer-readable storage medium is located to execute an intelligent operation method for a paste filling system described in Embodiment 2.

[0085] For the same or similar parts among the various embodiments in this specification, reference can be made to each other. In particular, for the terminal embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the descriptions in the method embodiments.

[0086] In several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the systems or units can be in electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, it should be noted that the flowchart in the accompanying drawings shows the method of the embodiments of the present disclosure. In the corresponding descriptions in the flowchart or block diagram in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in an order different from that disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and sometimes they can also be executed in the reverse order, which can depend on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0089] The foregoing are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent operation system for a paste filling system, the paste filling system comprising a feeding device, a water supply device, a stirring device, a pumping device and a conveying pipeline, characterized in that: The intelligent system includes: a communication system, an alarm system, a master control system, a detection system and an execution control system that are data-connected with the paste filling system; The detection system is connected to the paste filling system and is used to detect the real-time operating parameters of each device in the paste filling system, the paste parameters of the paste filling system, and the connection mode between each device in the paste filling system; The master control system is connected to the detection system through the communication system, and is used to analyze the operating parameters and paste parameters detected by the detection system, generate control instructions and alarm information, and generate a device topology diagram based on the connection mode, and display the connection mode of each device in the paste filling system in the form of a device topology diagram, wherein the device topology diagram is also provided with the real-time operating parameters of each device; The master control system is connected to the alarm system and is used to control the alarm system to give an alarm based on the generated alarm information; The master control system is also connected to the execution control system through the communication system to send the generated control instructions to the execution control system; The execution control system is connected to the paste filling system through an intelligent control bus, so that the execution control system controls the equipment in the paste filling system based on the control instructions received.

2. The intelligent operation system for a paste filling system according to claim 1, characterized in that: The intelligent operation system also includes a life cycle prediction system, which is connected to the master control system, and is used to predict the remaining life of each device in the paste filling system through the real-time operation parameters received by the master control system and the data in the fault database; The master control system is also used to display the remaining life of each device predicted by the life cycle prediction system on the device topology diagram.

3. The intelligent operation system for a paste filling system according to claim 1, characterized in that: The master control system comprises: a central controller, the central controller is connected to a human-computer interaction module, a data sending module, a data acquisition module, a topology map generation module and a first abnormality judgment module; A human-computer interaction module, used to input control instructions and preset threshold ranges of operating parameters of the paste filling system; A data acquisition module is used to acquire the real-time operating parameters of each device detected by the detection system, the connection relationship and attribute hierarchy between each device, and the paste parameters through the communication system; A topology generation module, used to generate a device topology map based on the acquired connection relationship and attribute hierarchy between various devices in the paste filling system; A first abnormality judgment module is used to judge whether the real-time operating parameters of each device meet the preset parameter threshold range. If all devices meet the preset parameter threshold range, no alarm information is generated; if any device does not meet the preset operating parameter threshold range, a first alarm information is generated; The data sending module is used to send control instructions to the execution control system, and the execution control system adjusts the operating parameters of the corresponding equipment in the control paste filling system based on the received control instructions.

4. The intelligent operation system for a paste filling system according to claim 3, characterized in that: The master control system further includes: a second abnormality judgment module, a third abnormality judgment module and a paste adjustment module, all of which are connected to the central controller; A second abnormality judgment module is used to judge whether the paste parameters meet the preset paste parameter range, and if not, generate a second alarm message; A third abnormality judgment module is used to determine whether there is a first alarm message when generating the second alarm message; if not, generate an adjustment instruction; The paste adjustment module is used to generate control instructions for controlling and adjusting real-time operating parameters of the equipment of the paste filling system when the adjustment instructions are generated.

5. The intelligent operation system for a paste filling system according to claim 4, characterized in that: The paste adjustment module includes a paste adjustment network model construction module and a paste adjustment network model training module; A paste regulating network model building module is used to build a paste regulating network model based on an artificial neural network; The paste regulation network model training module is used to train the constructed paste regulation network model.

6. The intelligent operation system for a paste filling system according to claim 4, characterized in that: The master control system also includes a timing module and a fourth judgment module connected to the central controller; A timing module is used to time when the data sending module sends a control instruction to the execution control system, and generate a timing completion instruction when a preset time period is reached; The fourth judgment module is used to judge whether the second alarm information is still generated when generating the timing completion instruction, and if so, generate the third alarm information.

7. The intelligent operation system for a paste filling system according to claim 4, characterized in that: The alarm system comprises: a first alarm module, configured to generate an alarm based on first alarm information; A second alarm module, used for generating an alarm based on the second alarm information; The third alarm module is used to generate an alarm based on the third alarm information.

8. An intelligent operation method for a paste filling system, characterized in that: The method comprises: Step 1: Detect the connection mode between various devices in the paste filling system, and generate a device topology map for display based on the detected connection mode; Step 2: Detect the real-time operating parameters of each device in the paste filling system and the paste parameters of the paste filling system; Step 3: Analyze the detected real-time operating parameters and paste parameters, and generate control instructions and alarm information; Step 4: Based on the generated alarm information, control the alarm system to alarm; Step 5: connecting with the execution control system through the communication system to send the generated control instruction to the execution control system; Step 6: The execution control system is connected to the paste filling system via the intelligent control bus, so that the execution control system controls the real-time operating parameters of the equipment in the paste filling system based on the control instructions received.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute the intelligent operation method for a paste filling system as described in claim 8.

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