Shutdown statistical analysis method, system and equipment for rolling line equipment and medium

Abstract

The invention discloses a rolling line equipment shutdown statistical analysis method, system and equipment and a medium. The method comprises the following steps of: counting collected shutdown data of the rolling line equipment in a period; taking the downtime exceeding the preset interval as abnormal downtime; and counting the abnormal shutdown time in the period. According to the invention, the shutdown time is divided, and the production shutdown and the abnormal shutdown are distinguished according to the length of the shutdown time, so that the abnormal shutdown can be well counted and analyzed, the subsequent mastering of the operation state of the equipment is facilitated, the equipment is timely maintained, and the condition of unplanned shutdown of the equipment is avoided.

Description

Technical Field

[0001] The invention relates to a method, system, equipment and medium for statistical analysis of rolling line equipment shutdown. Background Art

[0002] In any factory or workshop environment, equipment downtime will cause production delays and losses. Due to factors such as changing environmental conditions and inconsistent material quality, factories need to constantly monitor the operating status of equipment and perform maintenance on it in a timely manner to avoid unplanned equipment downtime.

[0003] The downtime of equipment in the steel mill rolling line will also affect the material tracking of the whole process, the production assessment of related teams, the evaluation of the entire life cycle of the production equipment and the operation and maintenance plan. Therefore, it is particularly important to conduct statistics and analysis on the downtime of rolling line equipment. Summary of the invention

[0004] In order to overcome the above-mentioned defects, the object of the present invention is to provide a method, system, equipment and medium for statistical analysis of rolling line equipment shutdown.

[0005] To achieve the above object, the method for statistical analysis of rolling mill equipment shutdown of the present invention comprises the following steps:

[0006] Collect statistics on the rolling line equipment downtime data collected within a cycle;

[0007] Downtime exceeding the predetermined interval is regarded as abnormal downtime;

[0008] Statistics on abnormal downtime in this period.

[0009] Furthermore, it also includes counting the production data within a cycle.

[0010] Furthermore, the cycle is 12 hours, wherein 8:00-20:00 is the day shift, and 20:00-8:00 the next morning is the night shift.

[0011] Furthermore, the predetermined interval is 2-10 minutes.

[0012] In order to achieve the above-mentioned object, the rolling line equipment shutdown statistical analysis system of the present invention comprises: a heating furnace, a rolling mill, a cutting machine, a roller conveyor equipment, and a cooling equipment; the system comprises:

[0013] Equipment shutdown signal acquisition system, which collects fault signals, startup signals, shutdown signals and other abnormal signals of main equipment on the rolling line in real time;

[0014] The production information system is used to receive the production operation plan and team plan from MES, collect the real-time production data of the production site, and the number of steel bars passing through the rolling line at each moment;

[0015] Equipment downtime record analysis system: Based on the data provided by the production information system and the equipment downtime signal acquisition system, the equipment downtime analysis record is obtained after identification and analysis through algorithms.

[0016] Furthermore, the equipment downtime analysis record includes daily statistics of day shift downtime, night shift downtime, total downtime, day shift output, night shift output, total output, and average hourly production capacity.

[0017] Furthermore, it also includes an equipment shutdown storage system for saving production shutdown records and data generated by shutdown analysis into the system.

[0018] To achieve the above objectives, the terminal device of the present invention includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor loads and executes the computer program, the above-mentioned method of statistical analysis of rolling line equipment downtime is adopted.

[0019] To achieve the above-mentioned purpose, the present invention provides a computer-readable storage medium, in which a computer program is stored. When the computer program is loaded and executed by a processor, the above-mentioned method for statistical analysis of rolling line equipment downtime is adopted.

[0020] The present invention divides the downtime and distinguishes production downtime and abnormal downtime by the length of downtime, so that abnormal downtime can be better counted and analyzed, which is beneficial to the subsequent grasp of the operating status of the equipment and timely maintenance to avoid unplanned downtime of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a system structure diagram of the present invention.

[0022] Figure 2 Flow chart of the system of the present invention. DETAILED DESCRIPTION

[0023] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] like Figure 1 As shown, the present invention mainly consists of the following parts:

[0028] 1. On-site equipment: main equipment at the rolling line site, such as heating furnace, rolling mill, cutting machine, roller conveyor equipment, cooling equipment, etc.

[0029] 2. Equipment shutdown signal acquisition system A: Real-time acquisition of fault signals, startup signals, shutdown signals, and other abnormal signals of the main equipment on the rolling line.

[0030] 3. Production Information System B: Receives production operation plans and team plans from MES (when to start production, when to end production, which team is doing production, etc.), collects real-time production data at the production site, and the number of steel bars passing through the rolling line at each moment. And saves it to the millResult table in system E. Production plan number, rolling start time, rolling end time, whether rolling is scrapped, etc.

[0031] 4. Equipment downtime record analysis system D: Based on the data provided by module B, the algorithm is used to identify and analyze the equipment downtime analysis record, and save it to the analysis table in the downtime saving system E. It mainly includes the day shift downtime, night shift downtime, total downtime, day shift output, night shift output, total output, average hourly capacity, etc.

[0032] 5. Equipment downtime saving system E: Save the production downtime records and data generated by downtime analysis into the system.

[0033] Since the steel rolling process is a continuous production, the data recorded by the production information system B should be continuous in time. If the time period is obviously discontinuous and exceeds the downtime interval (2 minutes) defined below, we consider that the production is stagnant, and at this time, the downtime status needs to be recorded.

[0034] The production data information stored in production information system B is as follows:

[0035]

[0036] . . . . . .

[0037] The records generated by the downtime record analysis system D are as follows:

[0038]

[0039] . . . . . .

[0040] The core of the present invention is the shutdown record analysis system D

[0041] a) The production workshop is divided into three shifts (Groups A, B and C) and two shifts (8:00-20:00 is the day shift, and 20:00-8:00 the next morning is the night shift).

[0042] b) Definition of downtime interval rules. The present invention defines it as 2 minutes, that is, downtime within two minutes is considered a normal production process, and downtime exceeding two minutes is considered an abnormal downtime and needs to be statistically analyzed. The system also provides configurable downtime interval rules, which are not limited to 2 minutes. Users can define their own reasonable downtime rules such as 2 minutes, 5 minutes, etc.

[0043] c) The present invention reads all data that conforms to the time period from the production information system B, and judges the two pieces of data before and after according to the shutdown rule (2 minutes). If the time exceeds the shutdown rule, then it is considered that the system is shut down. The specific algorithm rules are as follows: Figure 2 shown.

[0044] Example 1

[0045] like Figure 2 Illustrated embodiment

[0046] a) The system starts running. First, get the current system time T

[0047] b) Determine whether T exceeds 8:00 of the same day. If it exceeds 8:00 of the same day, it means it is a new day, and the data from 8:00 to T today is counted; if it does not exceed 8:00, it means you are still working the night shift, and the data from yesterday should be counted, which is the data from 8:00 to T yesterday morning.

[0048] c) The entire statistics need to define three time points, which are the start of the day shift, the start of the night shift and the end of the night shift, represented by t1, t3 and t2. We set different t1, t2 and t3 according to whether T exceeds 8 o'clock. If T exceeds 8 o'clock, then t1 is 8 o'clock today, t3 is 20 o'clock today, and t2 is 8 o'clock tomorrow; if T does not exceed 8 o'clock, then t1 should be 8 o'clock yesterday, t3 is 20 o'clock yesterday, and t2 is 8 o'clock today

[0049] d) In order, first count the day shift information, then count the night shift information. Pay special attention to the difference between the last record time of the day shift and the last record time of the night shift.

[0050] e) Query the rolling start time of millResult within the time range of t1 and t3, and sort the results from front to back in chronological order. And define diffTime and diffWeight = 0, which is used to calculate the downtime and capacity weight in the future.

[0051] f) If the first data starts at 8:10, then the 10 minutes between 8:10 and 8:00 need to be included in the daytime downtime. Set the difference between the first record and the query start time t1. That is, diffTime =

[0052] diffTime+difference

[0053] g) Start taking the second record, and compare the start time of the second record with the start time of the first record. If their difference is more than two minutes, then diffTime = diffTime + difference 0

[0054] h) At the same time, the weight is accumulated diffWeight = diffWeight + w0

[0055] i) The loop starts to fetch the third and fourth records, the same as step g.

[0056] j) Until the last record is obtained, the difference between the start time of the last record and t3 is compared, which also indicates the downtime. Recorded as difference 1, diffTime = diffTime + difference 1

[0057] k) At this time, all the records of the day shift have been counted, and the night shift time will be counted next.

[0058] l) The statistics of night shift time are the same as those of day shift time. The night shift time is queried according to the time period between t3 and t2. The results are sorted from front to back in chronological order.

[0059] m) After the query data comes out, judge from step f in sequence. The start time of the first record is the difference after comparing with t3.

[0060] n) After all day and night shift data are counted, they are written into the storage system E according to the data format of the downtime record analysis system.

[0061] An embodiment of the present application also discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the method for statistical analysis of rolling line equipment downtime of the above embodiment is adopted when the processor executes the computer program.

[0062] The terminal device may be a computer device such as a desktop computer, a laptop computer or a cloud server, and the terminal device includes but is not limited to a processor and a memory. For example, the terminal device may also include input and output devices, a network access device and a bus.

[0063] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0064] Among them, the memory can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device, or it can be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, etc., and the memory can also be a combination of an internal storage unit and an external storage device of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0065] Among them, through this terminal device, the method of statistical analysis of rolling line equipment shutdown in the above embodiment is stored in the memory of the terminal device, and is loaded and executed on the processor of the terminal device to facilitate user use.

[0066] The embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the method for statistical analysis of rolling line equipment downtime of the above embodiment is adopted.

[0067] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0068] Among them, through the computer-readable storage medium, the method of statistical analysis of rolling line equipment downtime in the above-mentioned embodiment is stored in the computer-readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the method of statistical analysis of rolling line equipment downtime.

[0069] The present invention is described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of ordinary technicians in the field without departing from the purpose of the present invention. Many other changes and modifications that do not depart from the concept and scope of the present invention should be regarded as the protection scope of the present invention.

[0070] In the description of this specification, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0071] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for statistical analysis of rolling line equipment downtime, characterized in that: The method comprises the following steps: Collect statistics on the rolling line equipment downtime data collected within a cycle; Downtime exceeding the predetermined interval is regarded as abnormal downtime; Statistics on abnormal downtime in this period.

2. A method for statistical analysis of rolling line equipment shutdown as claimed in claim 1, characterized in that: It also includes statistics of production data within a cycle.

3. A method for statistical analysis of rolling line equipment shutdown as claimed in claim 1, characterized in that: The cycle is 12 hours, wherein 8:00-20:00 is the day shift, and 20:00-8:00 the next morning is the night shift.

4. A method for statistical analysis of rolling line equipment shutdown as claimed in claim 1, characterized in that: The predetermined interval is 2-10 minutes.

5. A rolling line equipment shutdown statistical analysis system, the rolling line equipment comprising: Heating furnace, rolling mill, cutting machine, roller conveyor equipment, cooling equipment; characterized in that the system includes: Equipment shutdown signal acquisition system, which collects fault signals, startup signals, shutdown signals and other abnormal signals of main equipment on the rolling line in real time; The production information system is used to receive the production operation plan and team plan from MES, collect the real-time production data of the production site, and the number of steel bars passing through the rolling line at each moment; Equipment downtime record analysis system: Based on the data provided by the production information system and the equipment downtime signal acquisition system, the equipment downtime analysis record is obtained after identification and analysis through algorithms.

6. The rolling line equipment shutdown statistical analysis system according to claim 5, characterized in that: The equipment downtime analysis record includes the day shift downtime, night shift downtime, total downtime, day shift output, night shift output, total output, and average hourly production capacity, which are counted on a daily basis.

7. The rolling line equipment shutdown statistical analysis system according to claim 5, characterized in that: It also includes an equipment shutdown storage system, which is used to save the production shutdown records and data generated by shutdown analysis into the system.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method for statistical analysis of rolling line equipment downtime described in claim 1 is adopted.

9. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by the processor, the method for statistical analysis of rolling line equipment downtime as described in claim 1 is adopted.

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