A belt conveyor process state tracking method based on time sequence equipment data

By acquiring real-time data on equipment status and values, and combining this with a big data platform to determine process status, the problem of the inability to remotely control belt conveyor processes in existing technologies has been solved. This enables intelligent tracking and control of belt conveyor processes, supports automated and unmanned operation of the system, and improves production efficiency.

CN117246719BActive Publication Date: 2026-02-13HUATIAN ENG & TECH CORP MCC +1
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Patent Information

Application Number
CN202311414173.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-27
Publication Date
2026-02-13
Estimated Expiration
2043-10-27

AI Technical Summary

Technical Problem

In the steel production process, existing technologies cannot achieve remote, real-time control of the conveyor belt process, resulting in the inability to obtain the status of the conveyor belt process and to achieve system automation, intelligence, and unmanned operation.

Method used

By periodically acquiring real-time data on equipment status and values, and combining this with a big data platform, the system can determine the real-time status of the process and update process status information, including process path, equipment status, and equipment type, thereby enabling intelligent tracking and control of the belt conveyor process.

Benefits of technology

It enables real-time tracking and control of the belt conveyor process, supports automated, intelligent, and unmanned operation of the system, and improves production efficiency and control accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a belt conveyor process state tracking method based on time sequence equipment data. The method comprises the following steps: timing traversing each belt conveyor process which needs to be tracked, acquiring process basic information and equipment basic information from a big data platform, acquiring equipment time sequence data, judging the real-time state of the process, and updating the process state in the big data platform. In the method, the real-time tracking is realized based on the equipment state, the process and the basic data of the equipment through the big data platform, and the system automation, intelligentization and unmannedization are facilitated.
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Description

TECHNICAL FIELD

[0001] The present application relates to a kind of intelligent tracking method of belt conveyor process state in steel production process. BACKGROUND

[0002] Raw material preparation system as the first process of steel industry, main task is responsible for the whole plant bulk material and fuel, storage, whole grain, mixing etc., and will be processed various materials to blast furnace, sinter, lime each user, to ensure normal continuous production.

[0003] With the increasingly stringent requirements of environmental protection, large steel enterprises begin to close the transformation of raw material yard and conveying system rubber belt machine corridor, from the initial centralized or dispersed mechanical dust removal facilities, sealing of belt conveyor drop port, open-air yard sprinkling to now various types of closed yard, fully enclosed rubber belt machine corridor, there has been considerable progress in environmental protection.

[0004] At present, raw material preparation system of steel enterprise is towards automation, intelligent, unmanned development.But in the process of realizing centralized control of mechanized transport line in raw material yard, many L1 systems can only obtain the state and value of each device of belt process, without tracking the running state of belt process, leading to L2 cannot obtain the state of belt process, unable to remotely and real-time control belt process. SUMMARY

[0005] To overcome the above-mentioned defects, the present application provides a kind of belt process state tracking method based on time sequence device data.

[0006] To achieve the above purpose, the belt machine process state tracking method based on time sequence device data of the present application, the method comprises:

[0007] Timing iteration each belt machine process that needs to be tracked, obtain process basic information, equipment basic information from big data platform, obtain equipment time sequence data, to determine the real-time state of process and update the process state in big data platform.

[0008] Further, the real-time state of process includes:

[0009] 1) At least one device in process path is not occupied, or at least one device of occupation process is not the current process, then the current process state is stopped;Or,

[0010] 2) Each device in process path is in occupied state and the occupation process is the current process, then the current process state is selected;Or,

[0011] 3) Each device in the process path has the occupied state and the occupied process is the current process, and at least one, at most (the number of process devices-1) devices have the running state, then the current process state is in start; or,

[0012] 4) In the process path, the following conditions are met at the same time, then the current process state is in running;

[0013] Each device has an occupied state, and the occupied process is the current process;

[0014] Each device has a running state, or each device is in a running state and some devices are in a material state; or,

[0015] 5) In the process path, the following conditions are met at the same time, then the current process state is in fault running;

[0016] Each device has an occupied state, and the occupied process is the current process.

[0017] Each device has a running state, or each device is in a running state and some devices are in a material state;

[0018] At least one device has a fault state; or,

[0019] 6) In the process path, the following conditions are met at the same time, then the current process state is in emptying;

[0020] Each device has an occupied state, and the occupied process is the current process;

[0021] Each device has a running state, or each device is in a running state and some devices are in a material state;

[0022] There are at least one belt, at most (the number of process belts-1) belts changing from the material state to the no material state, i.e. no longer in the material state, and the belts change to the no material state in turn from the starting point of the process path;

[0023] The current process state can also be determined to be in emptying by determining whether the following conditions are met;

[0024] Each device has an occupied state, and the occupied process is the current process;

[0025] Each device has a running state;

[0026] There are at least one belt, at most (the number of process belts-1) belts whose emptying time is 0, and the emptying time of the belts changes to 0 in turn from the starting point of the process path;

[0027] At least one belt has an emptying time greater than 0;

[0028] In addition, the current process can be judged to be emptying according to the head time and tail time.

[0029] 7) In the process path, each device has a stop state, an occupied state (occupied process is the current process), and at least one device has a fault state, and the current process state is fault stop.

[0030] Further, it further comprises the steps of storing the process basic information, device basic information and the relationship between processes in the big data platform.

[0031] Further, it further comprises a real-time data acquisition step: including setting a timing task, acquiring real-time data of device state and device value from L1 or other third-party systems, storing and updating the corresponding data items in the big data platform.

[0032] Further, the real-time data includes process information and device information.

[0033] Further, the process information includes: process starting point, process ending point, process path (arranging all devices in the process in order from the starting point to the ending point), process state.

[0034] Further, the process state values include: stop, selected, starting, running, fault running, emptying, fault stop, merging running, splitting running, switching, switching preparation complete.

[0035] Further, the device information includes: device type, device state, device value, occupied process.

[0036] Further, the device type includes: belt conveyor, flap, trolley, belt scale, stacker-reclaimer.

[0037] Further, the device state values include: stop, occupied, running, fault, with material.

[0038] In the method, based on the device state, process and device basic data, real-time tracking is realized through the big data platform, which is beneficial to realize system automation, intelligentization and unmanned. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 The figure is a schematic diagram of the belt conveyor process state tracking method based on time sequence device data. DETAILED DESCRIPTION

[0040] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0041] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0042] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0043] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0044] Example of data preparation and acquisition for belt conveyor process status tracking

[0045] 1. Basic data preparation: Store basic information about processes and equipment, as well as the relationships between processes, in the database.

[0046] 2. Real-time data acquisition: Set up scheduled tasks to periodically acquire real-time data such as device status and device values ​​from L1 or other third-party systems, store and update the corresponding data items in the big data platform.

[0047] In this embodiment, the data involved in the belt conveyor process status tracking method are as follows: 1) and 2) include basic information data, real-time data obtained from L1 or other third-party systems, and data calculated based on real-time data.

[0048] 1) Process Information: Process start point, process end point, process path (arranging all devices in the process in order from start to end point), and process status. Process status values ​​include: Stopped, Selected, Starting, Running, Running due to Fault, Emptying, Stopped due to Fault, Merging, Diverting, Switching, and Switching Preparation Complete. The initial process status is Stopped.

[0049] 2) Device information: device type, device state, device value, occupation process. Device state values include: stop, occupation, running, fault, with material. Device types include: belt conveyor, flap, trolley, belt scale, stacker-reclaimer. A device can have multiple states at the same time, such as running and having material.

[0050] Device values vary according to device type.

[0051] Embodiment of belt conveyor process state tracking method

[0052] In combination Figure 1 , an embodiment of a belt conveyor process state tracking method based on time sequence device data is given.

[0053] The main steps of the method include:

[0054] Set a timing task. For each process being tracked, obtain process basic information, device basic information, and time sequence device data (device state, device value) from the big data platform to determine the real-time state of the process. For each process:

[0055] 1) At least one device in the process path is not occupied, or at least one device has a process that is not the current process, and the current process state is stopped.

[0056] 2) Each device in the process path is in an occupied state and the occupation process is the current process, and the current process state is selected.

[0057] 3) Each device in the process path is in an occupied state and the occupation process is the current process, and at least one, at most (process device number-1) devices have a running state, and the current process state is in startup.

[0058] 4) In the process path, the following conditions are met simultaneously, and the current process state is running.

[0059] Each device has an occupied state and the occupation process is the current process.

[0060] Each device has a running state, or each device is in a running state and some devices are in a material state.

[0061] 5) In the process path, the following conditions are met simultaneously, and the current process state is fault running.

[0062] Each device has an occupied state and the occupation process is the current process.

[0063] Each device has a running state, or each device is in a running state and some devices are in a material state.

[0064] At least one device has a fault state.

[0065] 6) In the flow path, if the following conditions are met simultaneously, the current flow state is emptying.

[0066] Each device has an occupied state, and the occupied flow is the current flow.

[0067] Each device has a running state, or each device is in a running state and some devices are in a material state.

[0068] There are at least one belt, at most (flow belt number-1) belts changing from a material state to a non-material state, i.e., no longer in a material state, and the belts change to a non-material state in turn from the start of the flow path.

[0069] The current flow state can also be determined to be emptying by determining whether the following conditions are met.

[0070] Each device has an occupied state, and the occupied flow is the current flow.

[0071] Each device has a running state.

[0072] There are at least one belt, at most (flow belt number-1) belts with an emptying time of 0, and the belt emptying time changes to 0 in turn from the start of the flow path.

[0073] There is at least one belt with an emptying time greater than 0.

[0074] In addition, the current flow can also be determined to be emptying according to the head time and the tail time.

[0075] 7) In the flow path, each device has a stop state and an occupied state (the occupied flow is the current flow), and at least one device has a fault state, then the current flow state is fault stop.

[0076] 8) Assuming there are flows with the same start and end points, if there is no relationship between the flows, only one flow can be opened at the same time. For flows that have a switching relationship with the current flow, it is generally considered that there are shared devices in the two flow paths. For convenience of description, the current flow is referred to as F1, and the flow with a switching relationship is referred to as F2. F1 can only switch to F2 when it is in a running state.

[0077] When F1 and F2 meet the following conditions, F1 state changes to switching, and F2 state changes to selected.

[0078] F1 state is in a running state.

[0079] The shared devices of F1 and F2 have an occupied flow of F1 and F2.

[0080] The remaining devices of F2, excluding the shared devices with F1, are in an occupied state, and the occupied flow is F2.

[0081] When F1 and F2 meet the following conditions, the F1 state becomes switching, and the F2 state becomes starting.

[0082] The F1 state is running.

[0083] The occupation process of the shared device of F1 and F2 is F1 and F2.

[0084] F2 removes the device shared with F1, and the remaining devices all have an occupation state, the occupation process is F2, and at least one device, at most (the number of remaining devices-1) devices have a running state.

[0085] When F1 and F2 meet the following conditions, the F1 state becomes switching preparation complete, and the F2 state becomes starting.

[0086] The F1 state is running.

[0087] The occupation process of the shared device of F1 and F2 is F1 and F2.

[0088] F2 removes the device shared with F1, and the remaining devices all have an occupation state, the occupation process is F2, and the remaining devices all have a running state.

[0089] When F1 and F2 meet the following conditions, the F1 state becomes emptying, and the F2 state becomes running.

[0090] The F1 state is switching preparation complete.

[0091] The occupation process of the shared device of F1 and F2 is F1 and F2.

[0092] The F1 process meets the judgment condition of the process state being emptying in 6).

[0093] When F1 and F2 meet the following conditions, the F1 state becomes stopping.

[0094] The F1 state is switching preparation complete.

[0095] The occupation process of the shared device of F1 and F2 is F2.

[0096] The F1 process meets the judgment condition of the process state being stopping in 1).

[0097] 9) For the processes that have a confluence or a split relationship with the current process, it is generally considered that there are shared devices in the two process paths. For convenience of description, the current process is referred to as F1, and the process that has a confluence or a split relationship is referred to as F2.

[0098] When F1 and F2 meet the following conditions, the states of F1 and F2 become confluence running or split running.

[0099] F1 and F2 are both in operation.

[0100] The occupation procedure of the shared equipment of F1 and F2 is F1 and F2.

[0101] F1 and F2 exist in the relationship of merging or separating.

[0102] The application is described in detail above in combination with the drawings, but the application is not limited to the above-described embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the application. Many other changes and modifications can be made to the application without departing from the concept and scope of the application, and should be considered as within the protection scope of the application.

[0103] In the description of the present specification, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0104] The above is merely specific embodiments of the application, but the protection scope of the application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the application, which should be covered within the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A method for tracking the process status of a belt conveyor based on time-series equipment data, characterized in that, The method includes: The system periodically traverses each conveyor belt process that requires status tracking, retrieves basic process information and equipment information from the big data platform, obtains equipment timing data, and thus determines the real-time status of the process and updates the process status in the big data platform. The real-time status of the aforementioned judgment process includes: 1) If at least one device in the process path is not occupied, or if the process occupying at least one device is not the current process, then the current process status is stopped; or, 2) If every device in the process path is in an occupied state and the occupied process is the current process, then the current process status is "selected"; or, 3) If every device in the process path is in an occupied state and the occupied process is the current process, and at least one device and at most the number of process devices minus one device are still running, then the current process status is "Starting"; or, 4) If the following conditions are met simultaneously in the process path, the current process status is "running"; Each device has an occupancy status, and the occupancy process is the current process. Each device has an operating status, or each device is operating and some devices are in a loaded state; or, 5) If the following conditions are met simultaneously in the process path, the current process status is faulty operation; Each device has an occupancy status, and the occupancy process is the current process. Each device has an operating status, or each device is in an operating status and some devices are in a material-containing status; At least one device is in a faulty state; or, 6) Determine if the current process status is in the drain state, including the following three methods: a) If the following conditions are met simultaneously in the process path, the current process status is empty; Each device has an occupancy status, and the occupancy process is the current process. Each device has an operating status, or each device is in an operating status and some devices are in a material-containing status; There exists at least one conveyor belt and at most one conveyor belt in the process path - 1 belts that change from a material-containing state to a material-free state, meaning there is no longer a material-containing state, and the belts change to a material-free state sequentially starting from the beginning of the process path. b) Determine the current process status as empty by checking if the following conditions are met; Each device has an occupancy status, and the occupancy process is the current process. Each device has an operating status; The emptying time for a process with at least one belt and a maximum of the number of process belts minus one belt is 0. Starting from the beginning of the process path, the emptying time of the belts becomes 0 sequentially. At least one belt has a evacuation time greater than 0; c) Determine whether the current process is in the air venting stage based on the material head time and material tail time; or... 7) In the process path, each device has a stopped state and an occupied state, and at least one device has a fault state. Then the current process state is fault stopped. It also includes a real-time data acquisition step: including setting up scheduled tasks to periodically acquire real-time data on device status and device values ​​obtained from third-party systems, and storing and updating the corresponding data items in the big data platform.

2. The belt conveyor process status tracking method based on time-series equipment data as described in claim 1, characterized in that, It also includes the step of storing basic process information, basic equipment information, and the relationships between processes in a big data platform.

3. The belt conveyor process status tracking method based on time-series equipment data as described in claim 1, characterized in that, The real-time data includes process information and equipment information.

4. The belt conveyor process status tracking method based on time-series equipment data as described in claim 3, characterized in that, The process information includes: process start point, process end point, process path, and process status.

5. The belt conveyor process status tracking method based on time-series equipment data as described in claim 4, characterized in that, The process status values ​​include: stopped, selected, starting, running, fault running, draining, fault stopped, merging, splitting, switching, and switching preparation completed.

6. The belt conveyor process status tracking method based on time-series equipment data as described in claim 3, characterized in that, The device information includes: device type, device status, device value, and occupied process.

7. The belt conveyor process status tracking method based on time-series equipment data as described in claim 6, characterized in that, The equipment types mentioned include: belt conveyors, tippers, trolleys, belt scales, and stacker-reclaimers.

8. The belt conveyor process status tracking method based on time-series equipment data as described in claim 6, characterized in that, The device status values ​​include: stopped, occupied, running, faulty, and loaded.

Citation Information

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