CN102033183A - Method for detecting abnormal points of device - Google Patents

Method for detecting abnormal points of device Download PDF

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Publication number
CN102033183A
CN102033183A CN2010105986786A CN201010598678A CN102033183A CN 102033183 A CN102033183 A CN 102033183A CN 2010105986786 A CN2010105986786 A CN 2010105986786A CN 201010598678 A CN201010598678 A CN 201010598678A CN 102033183 A CN102033183 A CN 102033183A
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CN
China
Prior art keywords
data
abnormity point
database
battery
computer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2010105986786A
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Chinese (zh)
Inventor
张方媛
程远
衣思平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin Lishen Battery JSCL
Original Assignee
Tianjin Lishen Battery JSCL
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin Lishen Battery JSCL filed Critical Tianjin Lishen Battery JSCL
Priority to CN2010105986786A priority Critical patent/CN102033183A/en
Publication of CN102033183A publication Critical patent/CN102033183A/en
Pending legal-status Critical Current

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Abstract

The invention provides a method for detecting abnormal points of a device, in particular comprising the following steps of: (1) connecting a computer with a formation device which is used for charging and discharging a battery; (2) storing data information showing the charging/discharging situation into a database of the computer; (3) comparing and analyzing the data relative to the charging capacity of the battery in the database; and (4) feeding back the analyzed information on an interface of the computer to prompt whether the formation device has an abnormal point or not. The method is used for immediately detecting for nondeterminacy of device abnormality occurrence, and detecting the data of the device finishing each process, thereby avoiding the problems of abnormal data and higher reject rate and the like due to the device and also ensuring the accuracy of the data; in addition, the invention has the advantages of being clear in the detection and simple and convenient for the operation, improving the work efficiency, enhancing the automation degree of the process, and being suitable for the requirement on the industrial scale production.

Description

A kind of method of checkout equipment abnormity point
Technical field
The present invention relates to a kind of equipment detection method, especially a kind of method of checkout equipment abnormity point.
Background technology
At present, in the process of producing cylindrical lithium ion battery, need detect a plurality of unit exception points and keep in repair.Usually just make regular check on maintenance by the equipment personnel; this way is because the stationarity of time and the degree of aging difference of equipment; can have unusual but situation that can not on-call maintenance; this situation can be found according to data when sorting finishes statistics defective products rate usually; and then maintenance of equipment; thereby incur loss through delay servicing time; cause the inaccuracy of other battery datas; and the battery that causes sub-electing defective products owing to unit exception also needs to put together to reform; lose time; and reduce employee work efficient, influence battery quality.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of method of checkout equipment abnormity point.
For solving the problems of the technologies described above, technical scheme of the present invention is:
A kind of method of checkout equipment abnormity point, concrete preparation process is as follows:
(1) formation device that will be used for discharging and recharging to battery is connected with computing machine;
(2) data message that will show charge status deposits in the database of computing machine;
(3) data with relevant battery charge capacity in the database compare analysis;
(4) information feedback after will analyzing points out this formation device abnormity point whether to occur to computer interface.
Preferably, the method for above-mentioned checkout equipment abnormity point, wherein whether instant playback equipment to be detected exists abnormity point in the middle computer interface of step (4), and shown in red when abnormal data occurring, no abnormal data presentation is green.
The invention has the beneficial effects as follows:
The method of above-mentioned checkout equipment abnormity point, the uncertainty at unit exception takes place in time detects; The device data of at every turn finishing flow process is detected, avoid causing problems such as data exception, the rising of defective products rate, guarantee the accuracy of data owing to the equipment reason; Detection case comes into plain view, and is simple to operation, increases work efficiency, and strengthens the automaticity of flow process, is fit to requirements of large-scale industrial production.
Description of drawings
Fig. 1 is the method flow diagram of checkout equipment abnormity point of the present invention.
Embodiment
Existing conjunction with figs. 1 and specific embodiment are further described technical scheme of the present invention.
Embodiment 1
A kind of method of checkout equipment abnormity point, concrete preparation process is as follows:
(1) formation device that will be used for discharging and recharging to battery is connected with computing machine;
(2) data message that will show charge status deposits in the database of computing machine;
(3) data with relevant battery charge capacity in the database compare analysis;
(4) information feedback after will analyzing is to computer interface, and is shown in red when abnormal data occurring, points out this formation device abnormity point whether to occur, and no abnormal data are then shown in green.
On the specific implementation, equipment computer is connected with equipment to be detected, communication, each equipment to be detected is divided into three layers, data are stored in the database of computing machine automatically after finishing flow process, by program language Visual Studio.Net the data about the battery charge capacity in the database are compared analysis, the battery charge capacity is before changing into, a theoretical capacity scope is arranged, in the critical field write-in program, theoretical capacity scope and actual capacity compare, the actual capacity of making in scope for normal, otherwise be considered as unusual, click and judge button, automatically judge whether selected data exists unusually, and go out each layer of equipment to be detected by the computer interface instant playback and whether have abnormity point, have unusual for red, no abnormal is green, prompting operation employee contact device personnel maintenance observably.
Above-mentioned detailed description of the method for this a kind of checkout equipment abnormity point being carried out with reference to embodiment; be illustrative rather than determinate; can list several embodiment according to institute's limited range; therefore in the variation and the modification that do not break away under the general plotting of the present invention, should belong within protection scope of the present invention.

Claims (2)

1. the method for a checkout equipment abnormity point is characterized in that: concrete preparation process is as follows:
(1) formation device that will be used for discharging and recharging to battery is connected with computing machine;
(2) data message that will show charge status deposits in the database of computing machine;
(3) data with relevant battery charge capacity in the database compare analysis;
(4) information feedback after will analyzing points out this formation device abnormity point whether to occur to computer interface.
2. the method for checkout equipment abnormity point according to claim 1, it is characterized in that: wherein whether instant playback equipment to be detected exists abnormity point in the middle computer interface of step (4), shown in red when abnormal data occurring, no abnormal data presentation is green.
CN2010105986786A 2010-12-21 2010-12-21 Method for detecting abnormal points of device Pending CN102033183A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010105986786A CN102033183A (en) 2010-12-21 2010-12-21 Method for detecting abnormal points of device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010105986786A CN102033183A (en) 2010-12-21 2010-12-21 Method for detecting abnormal points of device

Publications (1)

Publication Number Publication Date
CN102033183A true CN102033183A (en) 2011-04-27

Family

ID=43886337

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010105986786A Pending CN102033183A (en) 2010-12-21 2010-12-21 Method for detecting abnormal points of device

Country Status (1)

Country Link
CN (1) CN102033183A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6031354A (en) * 1996-02-01 2000-02-29 Aims Systems, Inc. On-line battery management and monitoring system and method
CN101539612A (en) * 2008-03-19 2009-09-23 衣文所 System for on-line monitoring of running quality of battery
CN201548668U (en) * 2009-11-10 2010-08-11 天津力神电池股份有限公司 Retest-free high-efficiency voltage/internal resistance testing system of battery
CN201569729U (en) * 2009-12-01 2010-09-01 深圳市精实机电科技有限公司 High-precision battery testboard

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6031354A (en) * 1996-02-01 2000-02-29 Aims Systems, Inc. On-line battery management and monitoring system and method
CN101539612A (en) * 2008-03-19 2009-09-23 衣文所 System for on-line monitoring of running quality of battery
CN201548668U (en) * 2009-11-10 2010-08-11 天津力神电池股份有限公司 Retest-free high-efficiency voltage/internal resistance testing system of battery
CN201569729U (en) * 2009-12-01 2010-09-01 深圳市精实机电科技有限公司 High-precision battery testboard

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Application publication date: 20110427