CN108593325B - Intelligent fault diagnosis method of self-service copying printing system based on Internet sharing - Google Patents

Intelligent fault diagnosis method of self-service copying printing system based on Internet sharing Download PDF

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CN108593325B
CN108593325B CN201810413274.1A CN201810413274A CN108593325B CN 108593325 B CN108593325 B CN 108593325B CN 201810413274 A CN201810413274 A CN 201810413274A CN 108593325 B CN108593325 B CN 108593325B
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paper
data
expansion interface
fault
value
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CN108593325A (en
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徐志鹏
刘唯
靳西朋
王西龙
朱雨
张卜中
祁露露
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Xuzhou Yisichen Intelligent Technology Co ltd
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Jiangsu Jianzhu Institute
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
    • G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4188—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by CIM planning or realisation
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2636—Reproduction, image copying machine
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2646—Printing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses an intelligent fault diagnosis method of a self-service copying and printing system based on internet sharing, which comprises the following steps: the system comprises a bottom sensing subsystem, a human-computer interaction subsystem and a remote monitoring subsystem, wherein the bottom sensing subsystem and the human-computer interaction subsystem are connected through a USB (universal serial bus) line and transmit data, and the human-computer interaction subsystem and the remote monitoring subsystem are connected through a wireless network and transmit data; the intelligent fault diagnosis method can detect the working state of the equipment through the local sensor, find the hidden fault danger in advance, evaluate the fault level, and send out a fault alarm to remote or local personnel according to the actual condition so as to take measures to eliminate the fault in time.

Description

Intelligent fault diagnosis method of self-service copying printing system based on Internet sharing
Technical Field
The invention relates to a self-service copying and printing technology, in particular to an intelligent fault diagnosis method of a self-service copying and printing system based on internet sharing.
Background
With the continuous development of technology, common printing equipment including printers, copiers and scanners has become a necessary equipment for companies to work. However, for most ordinary households, printing equipment is not generally equipped due to low utilization rate, high equipment price, need of regular maintenance and the like; but instead choose to go to the next store when needed to purchase the associated print service. However, due to the high labor cost and house rent, the image-text store must be set up in a place with a large passenger flow, and the number and the scale are limited. Therefore, the phenomenon that the user needs to copy the material urgently and cannot find the image-text store often occurs, the time cost of the user is increased, and even important practical delay is caused.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent fault diagnosis method of a self-service copying and printing system based on internet sharing.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an intelligent fault diagnosis method of a self-service copying printing system based on internet sharing comprises the following steps:
(1) detecting whether the carbon powder is too little
The latest n pieces of sensing data obtained by the carbon powder detector are respectively c1、c2……cnThen the mean value c of the sensed data can be obtained byaverWherein the value of n is adjusted according to the field condition, and the value range is 8-15:
Figure BDA0001648664680000011
mean value c of the sensed data obtained by the above calculationaverSo as to obtain the remaining amount of carbon powder C according to the following formulaleftWherein c ismaxAnd cminThe n sensing data are respectively the maximum value and the minimum value in the n sensing data, kappa is a correction coefficient, the value of kappa is adjusted according to the field condition, and the value range is 0.4-0.6:
Cleft＝κ(1+sin(π/(cmax-cmin)·(caver-(cmax-cmin)/2)))\*MERGEFORMAT (11)
carbon powder residue C obtained by the above formulaleftAnd the identifier F of whether the toner is too little can be obtained according to the following formulacIn which C isSleftThe alarm threshold value of carbon powder is adjusted according to the field condition, the value range is 0.10-0.15, F is detected when the carbon powder is too littlecIs 1:
Fc＝sgn(CSleft-Cleft)\*MERGEFORMAT (12)
(2) detecting if there is too little paper
If the sensed data obtained by the sheet detector is P, the sheet margin P can be obtained by the following equationleftWherein, tau is a correction coefficient, the value of tau is adjusted according to the field condition, and the value range is 80-120:
Figure BDA0001648664680000021
the paper sheet remaining amount P obtained by the above formulaleftAnd an identifier F for determining whether the paper is too little or not can be obtained according to the following formulapIn which P isSleftThe alarm threshold value of the paper is adjusted according to the field condition, the value range is 30-50, and F is used when the paper is detected to be too littlepIs 1:
Fp＝sgn(PSleft-Pleft)\*MERGEFORMAT (14)
(3) detecting communication with a remote data center
Sending a network connection request to a remote data center by an onboard controller and starting a timer, wherein the time of the timer is recorded as tnetStopping the timer after receiving the data center reply, and starting the next network connection request;
from the above timer time tnetAnd an identifier F of whether a communication fault exists with the remote data center can be obtained according to the following formulanetWherein t isSnetThe value of the connection time threshold is adjusted according to the field condition, the value range is 800-1000, and F is realized when the communication with the remote data center failsnetIs 1:
Fnet＝sgn(tSnet-tnet)\*MERGEFORMAT (15)
(4) detecting communication with a paper feeder
Sending a serial port reading request to a paper conveyor by an onboard controller, reading data of internal storage bits of the paper conveyor, and starting a timer, wherein the time of the timer is recorded as tserStopping the timer when reading a non-empty numerical value, and starting a serial port reading request for the next time;
from the above timer time tserAnd an identifier F indicating whether there is a communication failure with the sheet feeder can be obtained according to the following formulaserWherein t isSserFor connecting time threshold, the value is adjusted according to field conditions, the value range is 300-500, and F is realized when the communication between the paper conveyor and the paper conveyor failsserIs 1:
Fser＝sgn(tSser-tser)\*MERGEFORMAT (16)
(5) evaluating fault rating
F obtained by the above calculationc、Fp、Fnet、FserThe fault level G can be derived from the following equation, where a larger value of G indicates a higher fault severity:
Figure BDA0001648664680000031
(6) start failure alarm
Making a corresponding fault alarm according to the calculated fault grade G; when G is more than or equal to 2 and less than 5, only sending fault data to the remote server; and when G is less than or equal to 5, a local fault alarm is started, and emergency maintenance is required.
Preferably, the self-service copying and printing system based on internet sharing comprises a bottom layer sensing subsystem, a human-computer interaction subsystem and a remote monitoring subsystem, wherein the bottom layer sensing subsystem and the human-computer interaction subsystem are connected through a USB (universal serial bus) line and transmit data, and the human-computer interaction subsystem and the remote monitoring subsystem are connected through a wireless network and transmit data.
Preferably, the bottom sensing subsystem comprises: the device comprises a high-definition camera, a light sensor, a light supplementing lamp, a printer, a carbon powder detector, a paper detector, a fault alarm, an infrared detector, an infrared camera, an infrared distance meter, a paper conveyor and a paper stacker;
wherein, the high-definition camera is connected with the expansion interface through a USB line and transmits data, the light sensor is connected with the expansion interface through a two-wire cable and transmits data, the fill-in light is connected with the expansion interface through a two-wire cable, the printer is connected with the expansion interface through a USB line and transmits data, the carbon powder detector is connected with the expansion interface through a two-wire cable and transmits data, the paper detector is connected with the expansion interface through a two-wire cable and transmits data, the fault alarm is connected with the expansion interface through a two-wire cable and transmits data, the infrared detector is connected with the expansion interface through a two-wire cable and transmits data, the infrared camera is connected with the expansion interface through a two-wire cable and transmits data, the infrared distance meter is connected with the expansion interface through a two-wire cable and transmits data, and the paper conveyor is connected with the expansion interface through a two-wire, the paper stacker and the expansion interface are connected through a two-wire cable and transmit data.
Preferably, the human-computer interaction subsystem comprises an onboard controller, a touch display screen, an online payment device, an internet communication device and a local area network communication device;
the machine-mounted controller is connected with the touch display through a DC 3.5-RJ 45 line and transmits data, the machine-mounted controller is connected with the online payment equipment through a USB line and transmits data, the machine-mounted controller is connected with the Internet communication equipment through the USB line and transmits data, and the machine-mounted controller is connected with the local area network communication equipment through an RJ45 line and transmits data.
Preferably, the remote monitoring subsystem includes: the remote data center and the remote monitoring platform are connected through a wireless network and transmit data.
The invention has the beneficial effects that:
the invention can detect the working state of the equipment through the local sensor, find the hidden trouble of the trouble in advance, evaluate the trouble grade, and send out the trouble alarm to the remote or local personnel according to the actual situation, in order to take measures to eliminate the trouble in time.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
fig. 2 is a flow chart of the intelligent fault diagnosis method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the fault diagnosis method for the self-service copying and printing system based on internet sharing includes a bottom sensing subsystem, a human-computer interaction subsystem and a remote monitoring subsystem, wherein the bottom sensing subsystem and the human-computer interaction subsystem are connected through a USB cable and transmit data, and the human-computer interaction subsystem and the remote monitoring subsystem are connected through a wireless network and transmit data.
In this embodiment, the underlying sensing subsystem includes: the device comprises a high-definition camera, a light sensor, a light supplementing lamp, a printer, a carbon powder detector, a paper detector, a fault alarm, an infrared detector, an infrared camera, an infrared distance meter, a paper conveyor and a paper stacker;
wherein, the high-definition camera is connected with the expansion interface through a USB line and transmits data, the light sensor is connected with the expansion interface through a two-wire cable and transmits data, the fill-in light is connected with the expansion interface through a two-wire cable, the printer is connected with the expansion interface through a USB line and transmits data, the carbon powder detector is connected with the expansion interface through a two-wire cable and transmits data, the paper detector is connected with the expansion interface through a two-wire cable and transmits data, the fault alarm is connected with the expansion interface through a two-wire cable and transmits data, the infrared detector is connected with the expansion interface through a two-wire cable and transmits data, the infrared camera is connected with the expansion interface through a two-wire cable and transmits data, the infrared distance meter is connected with the expansion interface through a two-wire cable and transmits data, and the paper conveyor is connected with the expansion interface through a two-wire, the paper stacker and the expansion interface are connected through a two-wire cable and transmit data.
In this embodiment, the human-computer interaction subsystem includes an onboard controller, a touch display screen, an online payment device, an internet communication device, and a local area network communication device;
the machine-mounted controller is connected with the touch display through a DC 3.5-RJ 45 line and transmits data, the machine-mounted controller is connected with the online payment equipment through a USB line and transmits data, the machine-mounted controller is connected with the Internet communication equipment through the USB line and transmits data, and the machine-mounted controller is connected with the local area network communication equipment through an RJ45 line and transmits data.
In this embodiment, the remote monitoring subsystem includes: the remote data center and the remote monitoring platform are connected through a wireless network and transmit data.
As shown in fig. 2, the intelligent fault diagnosis method of the self-service copy printing system based on internet sharing includes the following steps:
(1) detecting whether the carbon powder is too little
The latest n pieces of sensing data obtained by the carbon powder detector are respectively c1、c2……cnThen the mean value c of the sensed data can be obtained byaverWherein the value of n is adjusted according to the field condition, and the value range is 8-15:
Figure BDA0001648664680000051
mean value c of the sensed data obtained by the above calculationaverSo as to obtain the remaining amount of carbon powder C according to the following formulaleftWherein c ismaxAnd cminThe n sensing data are respectively the maximum value and the minimum value in the n sensing data, kappa is a correction coefficient, the value of kappa is adjusted according to the field condition, and the value range is 0.4-0.6:
Cleft＝κ(1+sin(π/(cmax-cmin)·(caver-(cmax-cmin)/2)))\*MERGEFORMAT (11)
carbon powder residue C obtained by the above formulaleftAnd the identifier F of whether the toner is too little can be obtained according to the following formulacIn which C isSleftThe alarm threshold value of carbon powder is adjusted according to the field condition, the value range is 0.10-0.15, F is detected when the carbon powder is too littlecIs 1:
Fc＝sgn(CSleft-Cleft)\*MERGEFORMAT (12)
(2) detecting if there is too little paper
If the sensed data obtained by the sheet detector is P, the sheet margin P can be obtained by the following equationleftWherein, tau is a correction coefficient, the value of tau is adjusted according to the field condition, and the value range is 80-120:
Figure BDA0001648664680000052
the paper sheet remaining amount P obtained by the above formulaleftAnd an identifier F for determining whether the paper is too little or not can be obtained according to the following formulapIn which P isSleftThe alarm threshold value of the paper is adjusted according to the field condition, the value range is 30-50, and F is used when the paper is detected to be too littlepIs 1:
Fp＝sgn(PSleft-Pleft)\*MERGEFORMAT (14)
(3) detecting communication with a remote data center
Sending a network connection request to a remote data center by an onboard controller and starting a timer, wherein the time of the timer is recorded as tnetStopping the timer after receiving the data center reply, and starting the next network connection request;
from the above timer time tnetAnd an identifier F of whether a communication fault exists with the remote data center can be obtained according to the following formulanetWherein t isSnetThe value of the connection time threshold is adjusted according to the field condition, the value range is 800-1000, and F is realized when the communication with the remote data center failsnetIs 1:
Fnet＝sgn(tSnet-tnet)\*MERGEFORMAT (15)
(4) detecting communication with a paper feeder
Sending a serial port reading request to a paper conveyor by an onboard controller, reading data of internal storage bits of the paper conveyor, and starting a timer, wherein the time of the timer is recorded as tserStopping the timer when reading a non-empty numerical value, and starting a serial port reading request for the next time;
from the above timer time tserAnd an identifier F indicating whether there is a communication failure with the sheet feeder can be obtained according to the following formulaserWherein t isSserFor connecting time threshold, the value is adjusted according to field conditions, the value range is 300-500, and F is realized when the communication between the paper conveyor and the paper conveyor failsserIs 1:
Fser＝sgn(tSser-tser)\*MERGEFORMAT (16)
(5) evaluating fault rating
F obtained by the above calculationc、Fp、Fnet、FserThe fault level G can be derived from the following equation, where a larger value of G indicates a higher fault severity:
Figure BDA0001648664680000061
(6) start failure alarm
Making a corresponding fault alarm according to the calculated fault grade G; when G is more than or equal to 2 and less than 5, only sending fault data to the remote server; and when G is less than or equal to 5, a local fault alarm is started, and emergency maintenance is required.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any minor modifications, equivalent replacements and improvements made to the above embodiment according to the technical spirit of the present invention should be included in the protection scope of the technical solution of the present invention.

Claims (5)

1. An intelligent fault diagnosis method of a self-service copying and printing system based on internet sharing is characterized by comprising the following steps:
(1) detecting whether the carbon powder is too little
Recency obtained by toner detectornEach sensing data isc 1 、c 2 ……c n Then the mean value of the sensed data can be obtained from equation (10)c aver WhereinnThe numerical value of (2) is adjusted according to the field condition, and the value range is 8-15:
Figure 204937DEST_PATH_IMAGE002
（10）
mean value of sensing data obtained by calculationc aver Then, carbon can be obtained from the formula (11)The rest of the powderC left Whereinc max Andc min are respectively asnThe maximum value and the minimum value in the individual sensing data, kappa, are correction coefficients, the values of which are adjusted according to the field situation, and the value range is 0.4-0.6:
Figure 108696DEST_PATH_IMAGE004
（11）
carbon powder residue obtained by the formula (11)C left And according to the formula (12), the identifier of whether the toner is too little can be obtainedF c In which C is Sleft The alarm threshold value of carbon powder is adjusted according to the field condition, the value range is 0.10-0.15, when the carbon powder is detected to be too littleF c Is 1:
Figure 560537DEST_PATH_IMAGE006
（12）
(2) detecting if there is too little paper
The sensing data obtained by the paper detector ispThen the paper allowance can be obtained from the formula (13)P left WhereinτThe correction coefficient is obtained by adjusting the numerical value of the correction coefficient according to the field condition, and the value range is 80-120:
Figure 690167DEST_PATH_IMAGE008
（13）
from the obtained paper allowanceP left And can obtain the identifier of whether the paper is too little according to the formula (14)F p WhereinP Sleft The paper alarm threshold value is adjusted according to the field condition, the value range is 30-50, and when the paper is detected to be too little, the paper alarm threshold value is adjustedF p Is 1:
Figure 425910DEST_PATH_IMAGE010
（14）
(3) detecting communication with a remote data center
Sending a network connection request to a remote data center by an onboard controller and starting a timer, wherein the time of the timer is recorded ast net Stopping the timer after receiving the data center reply, and starting the next network connection request;
from timer timet net And an identifier of whether there is a communication failure with the remote data center can be obtained according to the formula (15)F net Whereint Snet The value of the connection time threshold is adjusted according to the field condition, the value range is 800-1000, and when the communication with the remote data center failsF net Is 1:
Figure 186056DEST_PATH_IMAGE012
（15）
(4) detecting communication with a paper feeder
Sending a serial port reading request to a paper conveyor by an onboard controller, reading data stored in the paper conveyor, and starting a timer, wherein the time of the timer is recorded ast ser Stopping the timer when reading a non-empty numerical value, and starting a serial port reading request for the next time;
from timer timet ser And an identifier of whether there is a communication failure with the sheet feeder can be obtained according to the formula (16)F ser Whereint Sser The value of the connection time threshold is adjusted according to the field condition, the value range is 300-500, and when the communication with the paper conveyor failsF ser Is 1:
Figure 171198DEST_PATH_IMAGE014
（16）
(5) evaluating fault rating
Obtained by calculationF c 、F p 、F net 、F ser Then, the fault grade can be obtained by the formula (17)GWhereinGA larger value indicates a higher fault severity:
Figure 104519DEST_PATH_IMAGE016
（17）
(6) start failure alarm
Fault grade obtained by calculationGMaking a corresponding fault alarm; when 2 is less than or equal to G<5, only sending fault data to the remote server; and when G is less than or equal to 5, a local fault alarm is started, and emergency maintenance is required.
2. The intelligent fault diagnosis method of the self-service copying and printing system based on the internet sharing as claimed in claim 1, wherein the self-service copying and printing system based on the internet sharing comprises a bottom sensing subsystem, a human-computer interaction subsystem and a remote monitoring subsystem, the bottom sensing subsystem and the human-computer interaction subsystem are connected through a USB cable and transmit data, and the human-computer interaction subsystem and the remote monitoring subsystem are connected through a wireless network and transmit data.
3. The intelligent fault diagnosis method of the internet-based shared self-service copy printing system according to claim 2, wherein the bottom sensing subsystem comprises: the device comprises a high-definition camera, a light sensor, a light supplementing lamp, a printer, a carbon powder detector, a paper detector, a fault alarm, an infrared detector, an infrared camera, an infrared distance meter, a paper conveyor and a paper stacker;
wherein, the high-definition camera is connected with the expansion interface through a USB line and transmits data, the light sensor is connected with the expansion interface through a two-wire cable and transmits data, the fill-in light is connected with the expansion interface through a two-wire cable, the printer is connected with the expansion interface through a USB line and transmits data, the carbon powder detector is connected with the expansion interface through a two-wire cable and transmits data, the paper detector is connected with the expansion interface through a two-wire cable and transmits data, the fault alarm is connected with the expansion interface through a two-wire cable and transmits data, the infrared detector is connected with the expansion interface through a two-wire cable and transmits data, the infrared camera is connected with the expansion interface through a two-wire cable and transmits data, the infrared distance meter is connected with the expansion interface through a two-wire cable and transmits data, and the paper conveyor is connected with the expansion interface through a two-wire, the paper stacker and the expansion interface are connected through a two-wire cable and transmit data.
4. The intelligent fault diagnosis method of the self-service copy printing system based on the internet sharing as claimed in claim 2, wherein the human-computer interaction subsystem comprises an onboard controller, a touch display screen, an online payment device, an internet communication device, a local area network communication device;
the machine-mounted controller is connected with the touch display through a DC 3.5-RJ 45 line and transmits data, the machine-mounted controller is connected with the online payment equipment through a USB line and transmits data, the machine-mounted controller is connected with the Internet communication equipment through the USB line and transmits data, and the machine-mounted controller is connected with the local area network communication equipment through an RJ45 line and transmits data.
5. The intelligent fault diagnosis method of the internet-based shared self-service copy printing system according to claim 2, wherein the remote monitoring subsystem comprises: the remote data center and the remote monitoring platform are connected through a wireless network and transmit data.
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