CN104102849B - Method for calculating downtime of hot continuous rolling production process - Google Patents

Abstract

A method for calculating the downtime of a hot continuous rolling production process is provided, wherein the downtime includes actual downtime and equivalent downtime, and the method includes: dividing the production process of hot tandem rolling into multiple time periods, Execute the following steps in a period of time, detect the steel tapping signal of the heating furnace and the coil steel signal of the coiler; calculate the difference; use the time point when the steel tapping signal or the coil steel signal was detected last time as the starting time of the actual downtime Point, the time point when the tapping signal or coil signal is currently detected is taken as the end time point of the actual downtime; determine the actual production time; determine the rated rolling block number of the rolled piece; determine the actual rolling block number of the rolled piece; Calculates equivalent downtime; displays actual downtime and equivalent downtime. By adopting the method in the exemplary embodiment of the present invention, the downtime of the hot rolling production process can be accurately obtained, the production efficiency can be improved, and the authenticity of the hot rolling scheduling information can be guaranteed.

Description

Method for Calculating Downtime of Hot Rolling Production Process

technical field

The present invention generally relates to the field of hot continuous rolling and steel rolling, and more particularly relates to a method for calculating downtime of a hot continuous rolling production process.

Background technique

Calculating the downtime of the hot rolling production process plays a very important role in the steel rolling production of the hot rolling mill, improving the operating rate of the hot rolling production, increasing the output of the hot rolling mill and the company's benefits. By calculating the downtime of the hot rolling production process, a series of production indicators such as the production operation rate of each shift and the whole plant, effective operation time and statistics of various downtime reasons can be obtained.

Contents of the invention

The purpose of the exemplary embodiment of the present invention is to provide a method for calculating the downtime of the hot rolling production process, which can accurately obtain the downtime of the hot rolling production process, improve production efficiency, and ensure the authenticity of hot rolling scheduling information.

An aspect of an exemplary embodiment of the present invention provides a method for calculating downtime of a hot continuous rolling production process, wherein the downtime includes actual downtime and equivalent downtime, and the method includes: The production process is divided into multiple time periods, and the following steps are performed for each time period, (a) detecting the tapping signal of the heating furnace and the coil steel signal of the coiler; (b) calculating the currently detected tapping signal or coil steel signal The difference between the time point of the signal and the time point when the tapping signal or the coiled steel signal was detected last time; (c) when the difference is greater than or equal to the set value, the last detection of the tapping signal or the coiled steel signal The time point as the starting time point of the actual downtime, the time point when the current tapping signal or coil steel signal is detected as the end time point of the actual downtime; (d) the time included in the time period Subtract the actual downtime to obtain the actual production time; (e) when the actual production time is greater than the set continuous production time, determine the number of rated rolling blocks of the rolled piece within the actual production time according to the rolling data of the rolled piece (f) record the tracking data of the rolling piece received from the process control level in the hot continuous rolling production process, and calculate the block of the rolling piece that goes out of the coiler in the actual production time according to the tracking data (g) Calculate the equivalent Downtime; (h) displaying the start time point of the actual downtime, the end time point of the actual downtime, and the equivalent downtime.

Optionally, step (e) may include: (e1) when the actual production time is greater than the set continuous production time, acquiring the rolling data of the rolled piece from the production control level, wherein the rolling data includes the The steel type of the rolled piece, the target thickness of the rolled piece; (e2) read the rated rolling of the rolled piece determined according to the steel type and the target thickness within the actual production time defined by the user number of blocks.

Optionally, step (g) may include: when the actual number of rolled blocks within the actual production time is less than the rated number of rolled blocks, according to the actual rolled blocks of the rolled piece within the actual production time number and the rated number of rolling blocks to calculate the equivalent downtime.

Optionally, the formula for calculating the equivalent downtime is as follows:

T ₁ =(M ₂ −M ₁ )×t

Among them, T ₁ is the equivalent downtime, M ₂ is the rated number of rolling blocks in the actual production time, M ₁ is the actual number of rolling blocks in the actual production time, t is the standard rolling time for rolling a rolling piece ,in, t ₀ is the actual production time.

Optionally, the method may further include: (i) when the actual downtime or the equivalent downtime is greater than the set minimum downtime, receiving an operation input by the user for dividing the actual downtime or the equivalent downtime; (j) dividing the actual downtime or equivalent downtime into a plurality of downtimes in response to the operation, wherein the sum of the plurality of downtimes is equal to the actual downtime or equivalent downtime, and each downtime The time is greater than the set minimum downtime.

Optionally, step (h) may further include: displaying a plurality of scheduled shutdown types, wherein, after step (h), it may further include: receiving user input for selecting a scheduled shutdown type from a plurality of scheduled shutdown types A selection operation; selecting a scheduled outage type from among the displayed plurality of scheduled outage types in response to the selection operation.

Optionally, step (h) may further include: displaying a plurality of predetermined shutdown reasons, wherein, after step (h), may further include: receiving user input for selecting a predetermined shutdown reason from a plurality of predetermined shutdown reasons A selection operation; selecting a predetermined shutdown cause from among the displayed plurality of predetermined shutdown reasons in response to the selection operation.

Optionally, the method may further include: receiving a description of a shutdown reason input by a user corresponding to the selected scheduled shutdown type and the selected scheduled shutdown reason.

Optionally, the method may further include: calculating the production efficiency of the time period according to the actual downtime, wherein the formula for calculating the production efficiency of the time period is as follows:

Wherein, n is the production efficiency of the time period, t ₂ is the effective working time in the time period, t ₂ =Tt ₃ , T is the time included in the time period, t ₃ is the actual downtime, t ₁ is the specified production operation time within the time period.

Using the method for calculating the downtime of the hot rolling production process in the exemplary embodiment of the present invention, the downtime is automatically calculated according to the data from the production control level and the process control level, so that the acquisition of the downtime is more accurate and the production efficiency is effectively improved , to ensure the authenticity of hot rolling scheduling information.

Description of drawings

The above and other objects, features and advantages of exemplary embodiments of the present invention will become more apparent through the following detailed description in conjunction with the accompanying drawings, wherein:

FIG. 1 is a flowchart illustrating a method of calculating downtime of a hot continuous rolling production process according to an exemplary embodiment of the present invention.

detailed description

The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of embodiments of the present invention as defined by the claims and their equivalents. Various specific details are included to aid in understanding but are to be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

The essence of the method for calculating the downtime of the hot continuous rolling production process in the exemplary embodiment of the present invention is to select two key processes in the hot continuous rolling production process, heating and coiling, and monitor the hot continuous rolling process by tracking the production conditions of heating and coiling. The actual production time and downtime of the production process can better control the hot rolling production. Specifically, the method for calculating the downtime of the hot continuous rolling production process according to the exemplary embodiment of the present invention may firstly divide the hot continuous rolling production process into multiple time periods. For example, the production process of hot continuous rolling can be 24 hours a day, so 24 hours can be divided into 3 time periods according to the needs of actual production. Here, as an example, the divided three time periods may be: 00:00-08:00 for night shift, 08:00-16:00 for day shift, and 16:00-24:00 for middle shift. Then the method for calculating the downtime of the hot continuous rolling production process according to the exemplary embodiment of the present invention calculates the downtime in each time period respectively. Here, downtime may include actual downtime and equivalent downtime.

Hereinafter, a method of calculating actual downtime and equivalent downtime for an arbitrary period of time will be described based on FIG. 1 .

FIG. 1 is a flowchart illustrating a method of calculating downtime of a hot continuous rolling production process according to an exemplary embodiment of the present invention.

As shown in FIG. 1 , in step S10 , the tapping signal of the heating furnace and the coiling signal of the coiler are detected.

In step S20, the difference between the time point when the steel tapping signal or the steel coil signal is detected and the time point when the steel tapping signal or the steel coil signal was detected last time is calculated. Here, the difference between the time point when the steel tapping signal is detected and the time point when the steel tapping signal was detected last time can be calculated, or the time point when the steel coil signal is currently detected and the time point when the steel coil signal was detected last time can be calculated difference.

In step S30, when the difference is greater than or equal to the set value, the time point when the tapping signal or the coil signal was detected last time is taken as the starting time point of the actual downtime, and the currently detected tapping signal The time point of the signal or coil signal is used as the end time point of the actual downtime. Here, the set value can be set by the user.

Specifically, when the difference between the time point when the tapping signal or coiling signal is detected at present and the time point when the tapping signal or coiling signal was detected last time is less than the set value, it indicates that the heating furnace, coiling The machine is working normally; when the difference between the time point of the current detection of the steel tapping signal or the coil steel signal and the time point of the last detection of the steel tapping signal or the coil steel signal is greater than or equal to the set value, it is generally considered that in the production process something is wrong. Therefore, here, when the difference is greater than or equal to the set value, the time point when the tapping signal or the coil signal was detected last time can be used as the starting time point of the actual downtime, and the currently detected tapping signal Or the time point of the coil steel signal as the end time point of the actual downtime.

In step S40, the actual production time is obtained by subtracting the actual downtime from the time included in the time period. For example, if the time period is the night shift from 00:00-08:00, then the time included in the time period is 8 hours, assuming that the actual downtime is 2 hours, then the actual production time is 8-2= 6 hours.

In step S50, it is judged whether the actual production time is greater than the set continuous production time. Here, the value of the set continuous production time can be set by the user.

In step S60, when the actual production time is greater than or equal to the set continuous production time, the rated number of rolled blocks of the rolled piece within the actual production time is determined according to the rolling data of the rolled piece.

Specifically, when the actual production time is greater than the set continuous production time, it is necessary to calculate the equivalent downtime within the actual production time, and then know the speed of the rolling production rhythm within the actual production time.

Optionally, the step of determining the number of rated rolling blocks of the rolled piece within the actual production time according to the rolling data of the rolled piece may include: obtaining the rolling data of the rolled piece from the production control level; reading the user-defined The number of rated rolled blocks of the rolled piece determined according to the steel type of the rolled piece and the target thickness of the rolled piece within the actual production time. Here, the rolling data of the rolled piece may include the material number of the rolled piece (eg, steel coil number, slab number), the steel type of the rolled piece, and the rolling target thickness of the rolled piece.

Specifically, after obtaining the rolling data of the rolled piece from the production control level, the user can read the number of pieces that the rolled piece of the steel type is rolled to the target thickness predefined by the user within the actual production time, and the user The predefined block number is used as the rated rolling block number of the rolled piece in the actual production time. Here, it should be understood that due to differences in steel types and rolling target thicknesses, the number of blocks rolled within the actual production time must also be different.

In step S70, record the tracking data of the rolling piece received from the process control level in the hot continuous rolling production process, and calculate the number of rolling pieces that exit the coiler within the actual production time according to the tracking data. The number of blocks is used as the actual number of rolled blocks of the rolled piece in the actual production time.

Optionally, stock tracking data may be received from a process control level. Here, the tracking data of the rolled piece may include: the material number of the rolled piece, for example, the slab number, the steel coil number; The time of steel coiling, here, the time of release from the furnace and the time of coil steel appear in pairs. Specifically, after the rolled piece is heated and released by the heating furnace, the furnace release data will be generated. The furnace release data can include the steel coil number of the rolled piece, the time when the rolled piece is released from the heating furnace, and then the rolled piece with the steel coil number is passed through The coiler performs coiling. After the coiler completes the coiling operation, the rolling data will be generated. The rolling data may include the coil number of the rolled piece and the coiling time when the rolled piece enters the coiler. What is recorded in step S70 is the number of rolled pieces corresponding to the steel coil number detected in both the furnace data and the steel rolling data within the actual production time.

In step S80, the equivalent downtime is calculated according to the actual number of rolling blocks and the rated number of rolling blocks of the rolling piece within the actual production time.

Optionally, the step of calculating the equivalent downtime according to the actual number of rolled blocks and the rated number of rolled blocks of the rolled piece within the actual production time may include: the actual rolling of the rolled piece within the actual production time Compare the number of rolling blocks with the rated number of rolling blocks; when the actual number of rolling blocks is less than the rated number of rolling blocks, calculate the equivalent shutdown according to the actual number of rolling blocks and the rated number of rolling blocks in the actual production time Time; when the actual number of rolled blocks is greater than or equal to the rated number of rolled blocks, the equivalent downtime is not calculated.

Optionally, the formula for calculating the equivalent downtime is as follows:

T ₁ =(M ₂ −M ₁ )×t (1)

In the formula (1), T ₁ is the equivalent downtime, M ₂ is the rated number of rolling blocks in the actual production time, M ₁ is the actual number of rolling blocks in the actual production time, t is the time to roll a rolling piece Standard rolling time, where, t ₀ is the actual production time.

In step S90, the start time point of the actual downtime, the end time point of the actual downtime, and the equivalent downtime are displayed.

When the actual production time is less than the set continuous production time, perform step S100: not calculate the equivalent downtime. In this case, only the start time point of the actual downtime and the end time point of the actual downtime are displayed in step S90.

Optionally, in step S90, a plurality of scheduled shutdown types may also be displayed. In this case, the method for calculating the shutdown time of the hot continuous rolling production process according to an exemplary embodiment of the present invention may further include: receiving a selection operation input by a user for selecting a scheduled shutdown type from a plurality of scheduled shutdown types; A type of scheduled outage is selected from among the displayed plurality of types of scheduled outages in response to the selection operation.

Optionally, in step S90, a plurality of predetermined shutdown reasons may also be displayed. In this case, the method for calculating the shutdown time of the hot continuous rolling production process according to an exemplary embodiment of the present invention may further include: receiving a selection operation input by a user for selecting a predetermined shutdown reason from a plurality of predetermined shutdown reasons; A predetermined shutdown cause is selected from among the displayed plurality of predetermined shutdown reasons in response to the selection operation.

Optionally, the method for calculating the downtime of a hot continuous rolling production process according to an exemplary embodiment of the present invention may further include: receiving user input corresponding to the selected scheduled downtime type and the selected scheduled downtime reason A description of the reason for the outage.

The method for calculating the downtime of the hot rolling production process according to an exemplary embodiment of the present invention may further include: when the actual downtime or the equivalent downtime is greater than the set minimum downtime, receiving user input for dividing the actual downtime An operation of time or equivalent downtime; dividing the actual downtime or equivalent downtime into a plurality of downtimes in response to the operation. Here, taking dividing the actual downtime as an example, the sum of the multiple periods of downtime is equal to the actual downtime, and each period of downtime is greater than the set minimum downtime. Here, the set minimum downtime can be set by the user according to actual production needs.

Specifically, taking the division of actual downtime as an example, when the actual downtime is greater than the set minimum downtime, the user's operation can be accepted to divide the actual downtime into multiple downtimes according to the apportionment ratio of the objects that cause the downtime , each period of downtime can specify the reason for the downtime and the object causing the downtime. After the actual downtime is divided into multiple downtimes, the multiple downtimes need to be verified, that is, the sum of the multiple downtimes must be exactly equal to the actual downtime, and the time points at both ends of each downtime can neither overlap nor have interval.

As an example, the content displayed in step S90 may include a set of information such as the start time point of the downtime, the end time point of the downtime, the type of downtime, the time period, the shift, the reason for the downtime, and the description of the reason for the downtime. The displayed set of information is a comprehensive description of each downtime in hot tandem rolling production, which can be used for statistical analysis of hot tandem rolling steel rolling production by downtime reason, shift, year, month, and day.

As an example, the specific display form of the downtime may include at least one of the following items: the Y-axis is the reason for the downtime, and the X-axis is time, which includes a proportion chart composed of production time and downtime (including downtime types), also known as As a scheduling chart, it can more intuitively reflect the downtime of each shift; the downtime details are displayed in a table; the downtime statistical information of the year, month, day and specified time interval statistics can include the downtime as the Y axis, Downtime reasons are the downtime histogram on the X-axis; the downtime of the whole plant and each shift in tabular form; the pie chart of the production time and downtime of the whole plant.

For example, take the example of displaying downtime details in a tabular form, assuming that the displayed downtime details are shown in the following table:

Table 1 Details of downtime

As shown in Table 1, as an example, the scheduled downtime types may include: actual downtime and equivalent downtime. A shutdown type may be determined based on user input selection operations. Likewise, as an example, the scheduled shutdown reasons may include: shutdown, other, annual maintenance, overhaul, waiting for material, waiting for electricity, waiting for gas, waiting for heat, inspection, process machine, equipment room, steel rolling, heating, roll change, crane, etc. . A shutdown cause may be determined based on user input selection operations.

For example, taking the night shift of 00:00-08:00 as an example, the method for calculating the downtime of the hot rolling production process according to an exemplary embodiment of the present invention can automatically calculate the corresponding shifts (for example, A, B, C or diced). As the production of hot continuous rolling steel is carried out, the method for calculating the downtime of the hot continuous rolling production process in the exemplary embodiment of the present invention can automatically calculate the actual downtime and the equivalent downtime, and then the operator on duty can select the type of downtime and Downtime Reason, and enter a description of the downtime reason. If the downtime should be responsible for multiple objects that cause the downtime, the operator on duty can divide the downtime into corresponding number of downtime periods, and fill in the downtime reason and downtime reason description corresponding to each downtime period . Finally, check the divided downtime period. If the check fails, it means that there is an error in the downtime division, and the operator on duty needs to re-check and modify it.

Optionally, when the operator fills in the reasons for the downtime and the description of the reasons for the downtime, and passes the verification, the scheduling chart, downtime details and downtime statistical information of the shift can be displayed, so that the production operation rate and effective operation rate of the shift can be known. time. Here, the time when the tapping signal of the heating furnace and the coiling signal of the coiler are detected can be regarded as the effective working time.

Optionally, operators in each shift can only fill in the downtime type, downtime reason, and downtime reason description of their own shift, and do not have permission to modify the downtime type, downtime reason, and downtime reason description for other shifts, but they can have permission View plant-wide and shift-wide outage information. The operator on duty can only grant the permission to enter, modify and delete the shutdown information on duty.

Optionally, the method for calculating downtime of a hot continuous rolling production process according to an exemplary embodiment of the present invention may further include: calculating the production efficiency in the time period according to the actual downtime and the equivalent downtime.

Optionally, the formula for calculating the production efficiency in the time period is as follows:

In the formula (2), n is the production efficiency of the time period, _t2 is the effective working time in the time period, _t2 = _Tt3 , T is the time included in the time period, and _t3 is the actual time. Downtime, t ₁ is the specified production operation time in the time period. Here, the specified production operation time may be time other than annual maintenance, overhaul, waiting for material, waiting for electricity, waiting for gas, waiting for heating, inspection, etc. within the time period.

Optionally, the method for calculating downtime of a hot continuous rolling production process according to an exemplary embodiment of the present invention may further include: marking the rolling piece tracking data received from the process control level.

Specifically, in the tracking data of the rolled piece received from the process control level, the time between the time when the rolled piece of the same coil number is released from the heating furnace (t _a ) and the time when the coil enters the coiler (t _b ) The difference must be greater than the minimum rolling time (t _min ), that is to say t _b -t _a > t _min , and at the same time the time t _a of tapping and the time t _b of coiling steel must appear in pairs. If in the steel rolling production process of the current period, only the time t _a of the furnace is detected, and the time t _b of the steel coil is not detected, then there must be production abnormalities in the rolling line during this period (for example, scrap rolling, steel jamming, furnace return, etc.) ; If only the coiling time t _b is detected in the steel rolling production process in the current time period, but the firing time t _a is not detected, the tracking signal of the rolled piece must be wrong. In this case, only detected tapping time t _a or coiling time t _b can be marked as "questionable". However, it is normal for the steel coiling moment t _b to be detected at the initial stage of steel rolling in the current time period, and the time t _a to be released is not detected (the time t _a to be released from the furnace is in the previous time period). The method for calculating the shutdown time of the hot continuous rolling production process in the embodiment can automatically correct and add a minimum rolling time t _min to the release time t _a , in this case, t _a =t _b -t _min ; for the current time period In the end stage of steel rolling, only the time t _a of the furnace is detected, and the time t _{b of the steel coil is not detected (the time t b of} the steel coil is in the next time period), the calculation of the downtime of the hot continuous rolling production process in the exemplary embodiment of the present invention The method can automatically correct and add a coil steel time t _b with a minimum rolling time t _min , in this case, t _b =t _a +t _min .

In addition, for the normal hot rolling steel rolling production process, the production start time and production end time of the rolled piece appear in pairs, and the production start time and production end time cannot exceed the maximum limit time. Therefore, when the production of the rolled piece When the difference between the start time and the production end time is greater than the maximum limit time, the method for calculating the downtime of the hot rolling production process according to the exemplary embodiment of the present invention can mark the production start time and the production end time of the rolled piece as "correction".

Using the method for calculating the downtime of the hot rolling production process in the exemplary embodiment of the present invention, the downtime is automatically calculated according to the data from the production control level and the process control level, so that the acquisition of the downtime is more accurate, and the production efficiency is effectively improved. Efficiency, to ensure the authenticity of hot rolling scheduling information.

While the invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that changes may be made in form and detail without departing from the spirit and scope of the invention as defined by the claims. various changes.

Claims (8)

1. it is a kind of calculate hot continuous rolling production process downtime method, wherein, when the downtime includes actual shutdown Between and equivalent downtime, methods described includes：The production process of hot continuous rolling is divided into into multiple time periods, to each time period Perform following steps,

The coil signal of the tapping signal and coiling machine of (a) detection heating furnace；

B () calculates currently detected tapping signal or the time point of coil signal detects tapping signal or coil letter with the last time Number time point difference；

C (), when the difference is more than or equal to setting value, the last time is detected tapping signal or the time point of coil signal is made For the start time point of the actual downtime, using the time point of currently detected tapping signal or coil signal as reality The end time point of downtime；

D () deducts the actual downtime by the time included in the time period and obtains the actual production time；

E () is determined in actual production according to the rolling data of rolled piece when the actual production time is more than the continuous production time is set The specified rolling block number of the rolled piece in time；

The tracking data of the f rolled piece that () record is received from process control level in hot continuous rolling production process, and according to institute The block number that tracking data calculates the rolled piece for going out coiling machine within the actual production time is stated, as the rolled piece in actual production Actual rolling block number in time；

G () is calculated equivalent according to the actual rolling block number and specified rolling block number of the rolled piece within the actual production time Downtime；

H () shows the start time point of actual downtime, the end time point of the actual downtime, described equivalent Downtime,

Wherein, calculate the formula of equivalent downtime as follows：

T₁=(M₂-M₁)×t

Wherein, T₁For equivalent downtime, M₂For the specified rolling block number in the actual production time, M₁For in the actual production time Actual rolling block number, t be roll a rolled piece standard rolling time, wherein,t₀For the actual production time.

2. method according to claim 1, wherein, step (e) includes：

(e1) when the actual production time is more than the continuous production time is set, the rolling number of the rolled piece is obtained from production controlled stage According to wherein, the rolling data includes the steel grade of the rolled piece, the target thickness of rolled piece rolling；

(e2) read user it is predefined within the actual production time according to the steel grade and the target thickness determine The specified rolling block number of rolled piece.

3. method according to claim 1, wherein, step (g) includes：The actual rolling piece within the actual production time Number less than in the case of specified rolling block number, according to actual rolling block number and the volume of the rolled piece within the actual production time Surely block number is rolled, equivalent downtime is calculated.

4. method according to claim 1, methods described also include：

(i) when the minimum downtime of actual downtime or equivalent downtime more than setting, the use of receiving user's input In the operation for dividing actual downtime or equivalent downtime；

J the actual downtime or equivalent downtime are divided into multistage downtime in response to the operation by (), wherein, The multistage downtime and be equal to the actual downtime or equivalent downtime, and every section of downtime is more than setting Fixed minimum downtime.

5. method according to claim 1, wherein, step (h) also includes：Multiple predetermined shutdown types are shown,

Wherein, also include after step (h)：

The selection operations for selecting a predetermined shutdown type from multiple predetermined shutdown types of receiving user's input；

A predetermined shutdown type is selected from the multiple predetermined shutdown type for showing in response to the selection operation.

6. method according to claim 5, wherein, step (h) also includes：Multiple predetermined shutdown reasons are shown,

Wherein, also include after step (h)：

The selection operations for selecting a predetermined shutdown reason from multiple predetermined shutdown reasons of receiving user's input；

A predetermined shutdown reason is selected from the multiple predetermined shutdown reason for showing in response to the selection operation.

7. method according to claim 6, methods described also include：Receiving user's input was stopped with the predetermined of the selection Machine type and the shutdown reason description corresponding with the predetermined shutdown reason of the selection.

8. method according to claim 1, methods described also include：According to the actual downtime, when calculating described Between section production efficiency, wherein, the formula for calculating the production efficiency of time period is as follows：

$\mathrm{\η}=\frac{t_2}{t_1}$

Wherein, η is the production efficiency of the time period, t₂For the effective operation time in the time period, t₂=T-t₃, T is institute State the time included in the time period, t₃For actual downtime, t₁For the production operation time of the regulation in the time period.