CN110941255B - Fault information management system - Google Patents
Fault information management system Download PDFInfo
- Publication number
- CN110941255B CN110941255B CN201911237027.1A CN201911237027A CN110941255B CN 110941255 B CN110941255 B CN 110941255B CN 201911237027 A CN201911237027 A CN 201911237027A CN 110941255 B CN110941255 B CN 110941255B
- Authority
- CN
- China
- Prior art keywords
- fault
- fault information
- information
- statistics
- engine
- 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.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000012360 testing method Methods 0.000 claims abstract description 11
- 238000003672 processing method Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 38
- 238000012545 processing Methods 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 9
- 238000013461 design Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000012937 correction Methods 0.000 claims description 7
- 230000001186 cumulative effect Effects 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 238000013024 troubleshooting Methods 0.000 claims description 3
- 238000004148 unit process Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000000712 assembly Effects 0.000 claims description 2
- 238000000429 assembly Methods 0.000 claims description 2
- 238000006243 chemical reaction Methods 0.000 claims description 2
- -1 methyl tert-butyl Chemical group 0.000 claims description 2
- 230000001960 triggered effect Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
Classifications
-
- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
Abstract
The invention discloses a fault information management system, which comprises a fault information acquisition module, a fault information statistics and monitoring module and a fault prediction and early warning module; the fault information acquisition module is used for acquiring fault information, archiving the approved classical fault information and the processing method thereof, and generating standard fault information; the fault information statistics and monitoring module monitors, counts, classifies, inquires and derives the standard fault information generated by the fault information acquisition module; the prediction and early warning module obtains prediction information of the engine fault information according to the classification and statistics of the standard fault information by the fault information statistics and monitoring module, and mutual prediction among the total test time number of the engine, the accumulated MTBF and the instantaneous MTBF of the engine is realized. The system has high management efficiency, good management effect and perfect functions.
Description
Technical Field
The invention belongs to the field of engine information management, and particularly relates to a fault information management system.
Background
At present, the traditional engine fault management is chaotic, most of the traditional engine fault management is managed by paper registration, tedious manual management is performed, time and labor are wasted, the management effect is poor, various fault information of the engine model cannot be queried in time, and therefore the management layer cannot effectively control various faults in the engine development process, and the engine development progress is affected.
Disclosure of Invention
Object of the Invention
In order to solve the problems, the invention provides an engine fault information management system, which comprehensively utilizes various means such as computer software, flow management of engine fault information, dynamic analysis and the like according to the fault information characteristics of an engine development process, and realizes a management system with various functions such as classical fault experience reminding, dynamic analysis of fault information, linkage of fault information and the like.
Technical solution of the invention
The fault information management system comprises a terminal, an identity authentication system, a communication network and a background server center; the user logs in the terminal, the identity authentication system confirms the user login identity information through the communication network, and transmits the user information to the background server center through the communication network, the background server center displays application interfaces with different authorities on the terminal according to the user identity, and a fault information acquisition module, a fault information statistics and monitoring module and a fault prediction module are arranged in the background server center; the fault information acquisition module is used for acquiring fault information, archiving the approved fault information and the basis and method for processing the fault, and generating standard fault information and linkage fault information; meanwhile, more than 5 times of standard faults which are the same fault cause and solution, unit decision as typical faults and influence the development period for more than 1 month are converted into typical faults through approval, so that corresponding design criteria are formed; the fault information statistics and monitoring module monitors, counts, classifies, inquires and derives the standard fault information generated by the fault information acquisition module; the fault prediction and early warning module predicts the total test time of the engine, the accumulated MTBF (methyl tert-butyl function) of the engine and the instantaneous MTBF of the engine according to the characteristic information in the standard fault information filed by the fault information acquisition module; if a fault caused by a certain factor is already listed as a linkage fault, other assemblies or designs trigger fault early warning when the factor exists.
Preferably, the common user can input fault information and a processing method, inquire fault information and count fault information; the manager has the authority of common user and fault flow approval and fault conversion standard fault approval.
The fault information acquisition module comprises standard fault processing and fault information archiving; the standard fault handling function is used for information management of key management links.
Preferably, the key management links comprise fault newly-built, fault accepted, reliability countersign, fault analysis, correction measure effectiveness evaluation and correction measure implementation.
Preferably, the monitoring function of the information statistics and monitoring module comprises the steps of increasing the reliability of the engine, calendar time fault and fault zeroing statistics, fault responsibility statistics, fault unit distribution statistics, fault information notification, barrier information inquiry and fault linkage inquiry; engine reliability growth is used to show cumulative growth curves, instantaneous growth curves, and the rate of reliability growth of the engine to the current stage or any sub-assembly stage that has been performed, cumulative MTBF, and instantaneous MTBF; the calendar time fault and fault zeroing function is used for monitoring the number of faults and the number of fault zeroes occurring in a time interval taking the year as a unit; the fault responsibility counting function is used for counting the distribution percentage of fault responsibility of each design; the fault unit distribution statistics function is used for counting the fault distribution percentages of the system and the components; the fault information notification function is used for notifying the fault information which is happening; the fault information inquiry is used for inquiring fault information classification, comprehensively inquiring and deriving corresponding inquiry results; the fault linkage inquiry is used for classifying typical fault information, comprehensively inquiring and exporting corresponding inquiry results.
Preferably, the prediction and early warning module comprises a cumulative MTBF and an instantaneous MTBF which can be predicted to be achieved by the engine according to the input total test time number, or a total test time number which is predicted to be input according to the input MTBF target value; when the fault linkage early warning is used for the fault of a part used by a certain engine, other engines use similar parts, and then the fault linkage is triggered.
Preferably, the information output by the monitoring and counting function of the fault information counting and monitoring module is displayed in a chart mode.
Preferably, the process of generating the standard fault information and the linkage fault information is as follows: after the common user finds out the fault, logging in a fault information management system, entering a fault information acquisition module to fill in specific information, and entering a fault report approval link after the fault auditor approves; after the fault auditor checks, performing preliminary fault discrimination, giving fault processing time limit, assigning a fault processing department, and entering a reliability countersign link; the reliability manager fills corresponding information to determine and then enters a fault analysis link, fault analysts need to fill technology, management and troubleshooting measures and experience summary of the faults, and enter a correction measure effectiveness evaluation link after submitting the information; the fault analysis unit is responsible for developing, so that the occurrence of faults can be effectively prevented or the occurrence probability of faults can be reduced by analyzing and calculating and necessary test verification and evaluation corrective measures, and the effectiveness of the measures is confirmed through review and then a corrective measure implementation link is entered; the appointed implementation unit processes the faults according to the corrective measures, and then standard fault information and linkage fault information are formed.
The invention has the advantages that:
1) The computer management mode is adopted to replace the transmission hand registration management mode, so that the normalization and informatization of the engine fault information management are promoted;
2) All the entered fault information needs to be confirmed by a manager, so that the management is standard and the data is reliable;
3) Corresponding knowledge bases are established through various data management classifications, inquiry and monitoring are simple and easy, management is convenient, and management efficiency is greatly improved;
4) The engine fault linkage alarm can be started, and the fault prediction function is effectively achieved.
Drawings
Fig. 1 is a schematic diagram of a fault information management system of the present invention.
Fig. 2 is a schematic diagram of data flow between functional modules in the fault information management system according to the present invention.
In the figure, 1-terminal; 2-an identity authentication system; 3-a communication network; 4-a background server center.
Detailed Description
The invention is realized by the following technical scheme.
Taking a fault information input and display as an example, a user logs in a terminal 1, an identity authentication system 2 confirms user login identity information through a communication network 3, and transmits the user information to a background server center 4 through the communication network 3, the background server center 4 returns application interfaces with different authorities according to the user identity, and a common user can input the fault information and a processing method, inquire the fault information and count the fault information; the manager has the authority of common users and the authority of fault flow approval and fault to classical fault approval.
After the common user finds out the fault, logging in a fault information management system, entering a fault information new construction and filling specific information in a fault information acquisition module, and entering a fault report approval link after the fault auditor approval passes; after the fault auditor checks, preliminary fault judgment is carried out, fault processing departments are assigned, comments such as fault processing time limit are given, and a reliability countersign link is entered; the reliability manager fills corresponding information to determine and then enters a fault analysis link, fault analysts need to fill information such as technology, management, troubleshooting measures, experience summary and the like which cause faults, and enter a correction measure effectiveness evaluation link after submitting the information; the fault analysis unit is responsible for developing, so that the occurrence of faults can be effectively prevented or the occurrence probability of faults can be reduced through analysis calculation and necessary test verification and evaluation corrective measures, and the effectiveness of the measures is confirmed through relevant reviews and then a corrective measure implementation link is entered; the appointed implementation unit processes the fault according to the corrective measures, and after the above examination links, the fault information is formal system fault information. The linkage fault information input mode and the approval link are consistent with the standard fault information, the input information and the preparation are different, and the information such as the model of the linkage is newly added in the input process, the linkage product is definitely displayed and the like.
The system provides an engine information statistics and monitoring function, when a system user triggers a certain type of engine reliability growth statistics function, according to characteristic information such as the number of stage faults, the number of fault stages, the number of accumulated faults and the like in the model standard fault information, an accumulated growth curve, an instantaneous growth curve, the reliability growth rate of the engine to the current stage or any assembly sub-stage which is carried out, accumulated MTBF and instantaneous MTBF are obtained after being processed by a statistics module, and a curve is drawn; triggering calendar time fault quantity and fault zeroing statistics by a system user, obtaining the fault quantity and fault zeroing quantity occurring in a time interval after processing the fault quantity and fault zeroing quantity by a statistics module according to the characteristic information such as fault discovery time filled in a fault report table in the model standard fault information, and drawing a curve; when a system user triggers fault responsibility statistics, according to the characteristic information such as fault responsibility reasons, fault unit distribution and the like in the model standard fault information, obtaining fault responsibility distribution information after processing by a statistics module, and drawing a pie chart; when a system user triggers fault unit distribution statistics, according to characteristic information of a system, a component and the like of a fault unit in the model standard fault information, obtaining fault unit distribution percentage information after processing by a statistics module, and drawing a pie chart; the fault information notification standard archive performs fault information notification in the system; when the system user triggers the fault information inquiry function, corresponding information can be obtained after being processed by the statistics module according to the inquiry type of the user, and classified inquiry, calling and output are supported.
The system provides an engine prediction and early warning function, when a system user triggers a mutual prediction function between the total test number of a certain engine and the accumulated MTBF and the instantaneous MTBF, the mutual information prediction can be carried out after the information is processed by a prediction module according to the characteristic information such as the stage fault number, the fault stage, the accumulated fault number and the like in the model standard fault information; when the user triggers the linkage criterion in fault input, the system can perform early warning.
If the standard fault information accords with the characteristics of the typical fault case, the experience summary of the typical fault case is formulated into a management flow of the design criteria after the characteristic of the typical fault case is approved by a manager, and the standard design criteria are provided for the subsequent similar engine design. Meanwhile, effective fault information in the system accords with the characteristic of typical fault information, and can become typical faults after being approved by a manager, and the typical faults can provide warning effect for development processes of other models.
Claims (5)
1. The fault information management system is characterized by comprising a terminal, an identity authentication system, a communication network and a background server center; the user logs in the terminal, the identity authentication system confirms the user login identity information through the communication network, and transmits the user information to the background server center through the communication network, the background server center displays application interfaces with different authorities on the terminal according to the user identity, and a fault information acquisition module, a fault information statistics and monitoring module and a fault prediction and early warning module are arranged in the background server center; the fault information acquisition module is used for acquiring fault information, archiving the approved fault information and the basis and method for processing the fault, and generating standard fault information and linkage fault information; meanwhile, more than 5 times of standard faults which are the same fault cause and solution, unit decision as typical faults and influence the development period for more than 1 month are converted into typical faults through approval, so that corresponding design criteria are formed; the fault information statistics and monitoring module monitors, counts, classifies, inquires and derives the standard fault information generated by the fault information acquisition module; the fault prediction and early warning module predicts the total test time of the engine, the accumulated MTBF (methyl tert-butyl function) of the engine and the instantaneous MTBF of the engine according to the characteristic information in the standard fault information filed by the fault information acquisition module; if the fault caused by a certain factor is already listed as a linkage fault, other assemblies or designs trigger fault early warning when the factor exists; the fault information acquisition module comprises standard fault processing and fault information archiving; the standard fault processing function is used for information management of key management links; the key management links comprise fault reconstruction, fault acceptance, reliability countersign, fault analysis, correction measure validity evaluation and correction measure implementation;
the standard fault information and linkage fault information generation process is as follows: after the common user finds out the fault, logging in a fault information management system, entering a fault information acquisition module to fill in specific information, and entering a fault report approval link after the fault auditor approves; after the fault auditor checks, performing preliminary fault discrimination, giving fault processing time limit, assigning a fault processing department, and entering a reliability countersign link; the reliability manager fills corresponding information to determine and then enters a fault analysis link, fault analysts need to fill technology, management and troubleshooting measures and experience summary of the faults, and enter a correction measure effectiveness evaluation link after submitting the information; the fault analysis unit is responsible for developing, so that the occurrence of faults can be effectively prevented or the occurrence probability of faults can be reduced by analyzing and calculating and necessary test verification and evaluation corrective measures, and the effectiveness of the measures is confirmed through review and then a corrective measure implementation link is entered; the appointed implementation unit processes the faults according to the corrective measures, and then standard fault information and linkage fault information are formed.
2. The fault information management system according to claim 1, wherein the common user can perform fault information and processing method entry, fault information inquiry, fault information statistics; the manager has the authority of common user and fault flow approval and fault conversion standard fault approval.
3. The fault information management system of claim 1, wherein the monitoring functions of the fault information statistics and monitoring module include engine reliability growth, calendar time fault and fault zeroing statistics, fault responsibility statistics, fault unit distribution statistics, fault information notification, fault information inquiry, fault linkage inquiry; engine reliability growth is used to show cumulative growth curves, instantaneous growth curves, and the rate of reliability growth of the engine to the current stage or any sub-assembly stage that has been performed, cumulative MTBF, and instantaneous MTBF; the calendar time fault and fault zeroing function is used for monitoring the number of faults and the number of fault zeroes occurring in a time interval taking the year as a unit; the fault responsibility counting function is used for counting the distribution percentage of fault responsibility of each design; the fault unit distribution statistics function is used for counting the fault distribution percentages of the system and the components; the fault information notification function is used for notifying the fault information which is happening; the fault information inquiry is used for inquiring fault information classification, comprehensively inquiring and deriving corresponding inquiry results; the fault linkage inquiry is used for classifying typical fault information, comprehensively inquiring and exporting corresponding inquiry results.
4. The fault information management system of claim 1, wherein the fault prediction and warning module comprises a cumulative MTBF and an instantaneous MTBF that can be predicted to be achieved by the engine based on a total number of test hours entered, or a total number of test hours to be entered based on a target MTBF entered; when the fault linkage early warning is used for the fault of a part used by a certain engine, other engines use similar parts, and then the fault linkage is triggered.
5. A fault information management system as claimed in claim 3, wherein the information output by the monitoring and statistical functions of the fault information statistics and monitoring module is displayed graphically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911237027.1A CN110941255B (en) | 2019-12-05 | 2019-12-05 | Fault information management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911237027.1A CN110941255B (en) | 2019-12-05 | 2019-12-05 | Fault information management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110941255A CN110941255A (en) | 2020-03-31 |
| CN110941255B true CN110941255B (en) | 2023-11-24 |
Family
ID=69909965
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911237027.1A Active CN110941255B (en) | 2019-12-05 | 2019-12-05 | Fault information management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110941255B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002322949A (en) * | 2001-04-25 | 2002-11-08 | Fuji Heavy Ind Ltd | Vehicle management system |
| CN201030869Y (en) * | 2007-03-08 | 2008-03-05 | 兰州交通大学 | Railway engineering failure management information system |
| CN102156447A (en) * | 2010-12-03 | 2011-08-17 | 中冶南方工程技术有限公司 | Basic automation-based plant-level equipment management and alarming system and method |
| JP2011159234A (en) * | 2010-02-03 | 2011-08-18 | Hitachi Information Systems Ltd | Fault handling system and fault handling method |
| CN102394918A (en) * | 2011-10-24 | 2012-03-28 | 天泽信息产业股份有限公司 | Vehicle information remote management and service system and realization method thereof |
| JP2013164703A (en) * | 2012-02-10 | 2013-08-22 | Nippon Telegr & Teleph Corp <Ntt> | Power sensor automatic diagnosis system |
| CN105446328A (en) * | 2016-01-15 | 2016-03-30 | 廖金能 | A generating set remote fault diagnosis and health monitor system and a data capture method |
| CN105844435A (en) * | 2016-06-15 | 2016-08-10 | 南京中车浦镇城轨车辆有限责任公司 | Subway vehicle fault information management system based on FMECA |
| CN105868914A (en) * | 2016-04-08 | 2016-08-17 | 交通运输部公路科学研究所 | Cloud management system and management method of automobile electronic health archive |
| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
| CN108469802A (en) * | 2018-01-31 | 2018-08-31 | 武汉华威专用汽车检测有限责任公司 | A kind of information of vehicles remote monitoring and diagnostics system |
| KR20190023155A (en) * | 2017-08-28 | 2019-03-08 | 주식회사 아르고테크놀리지 | The pump management system for fish farm |
| CN109521751A (en) * | 2018-10-23 | 2019-03-26 | 中核核电运行管理有限公司 | A kind of nuclear power plant's key work center method failure mitigation method |
| CN109542091A (en) * | 2019-01-11 | 2019-03-29 | 山东科技大学 | A kind of excavator breakdown maintenance and reliability data management system and its application |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9753455B2 (en) * | 2009-06-22 | 2017-09-05 | Johnson Controls Technology Company | Building management system with fault analysis |
-
2019
- 2019-12-05 CN CN201911237027.1A patent/CN110941255B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002322949A (en) * | 2001-04-25 | 2002-11-08 | Fuji Heavy Ind Ltd | Vehicle management system |
| CN201030869Y (en) * | 2007-03-08 | 2008-03-05 | 兰州交通大学 | Railway engineering failure management information system |
| JP2011159234A (en) * | 2010-02-03 | 2011-08-18 | Hitachi Information Systems Ltd | Fault handling system and fault handling method |
| CN102156447A (en) * | 2010-12-03 | 2011-08-17 | 中冶南方工程技术有限公司 | Basic automation-based plant-level equipment management and alarming system and method |
| CN102394918A (en) * | 2011-10-24 | 2012-03-28 | 天泽信息产业股份有限公司 | Vehicle information remote management and service system and realization method thereof |
| JP2013164703A (en) * | 2012-02-10 | 2013-08-22 | Nippon Telegr & Teleph Corp <Ntt> | Power sensor automatic diagnosis system |
| CN105446328A (en) * | 2016-01-15 | 2016-03-30 | 廖金能 | A generating set remote fault diagnosis and health monitor system and a data capture method |
| CN105868914A (en) * | 2016-04-08 | 2016-08-17 | 交通运输部公路科学研究所 | Cloud management system and management method of automobile electronic health archive |
| CN105844435A (en) * | 2016-06-15 | 2016-08-10 | 南京中车浦镇城轨车辆有限责任公司 | Subway vehicle fault information management system based on FMECA |
| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
| KR20190023155A (en) * | 2017-08-28 | 2019-03-08 | 주식회사 아르고테크놀리지 | The pump management system for fish farm |
| CN108469802A (en) * | 2018-01-31 | 2018-08-31 | 武汉华威专用汽车检测有限责任公司 | A kind of information of vehicles remote monitoring and diagnostics system |
| CN109521751A (en) * | 2018-10-23 | 2019-03-26 | 中核核电运行管理有限公司 | A kind of nuclear power plant's key work center method failure mitigation method |
| CN109542091A (en) * | 2019-01-11 | 2019-03-29 | 山东科技大学 | A kind of excavator breakdown maintenance and reliability data management system and its application |
Non-Patent Citations (1)
| Title |
|---|
| 严建峰 等."面向远程故障诊断系统的安全联动方案".《火力与指挥控制》.2010,第35卷(第3期),46-49. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110941255A (en) | 2020-03-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110191094B (en) | Abnormal data monitoring method and device, storage medium and terminal | |
| CN107943809B (en) | Data quality monitoring method and device and big data computing platform | |
| US20050216241A1 (en) | Method and apparatus for gathering statistical measures | |
| WO2021232588A1 (en) | Food safety risk assessment method, apparatus, device, and storage medium | |
| CN112650762B (en) | Data quality monitoring method and device, electronic equipment and storage medium | |
| KR100841876B1 (en) | Automatic monitoring and statistical analysis of dynamic process metrics to expose meaningful changes | |
| CN111784508A (en) | Enterprise risk assessment method and device and electronic equipment | |
| CN109474515B (en) | Risk event mail pushing method and device, computer equipment and storage medium | |
| CN114021971A (en) | Comprehensive evaluation system, method and storage medium for expressway operation and maintenance management | |
| US20040193516A1 (en) | Method and system of processing billing data | |
| CN110941255B (en) | Fault information management system | |
| CN111222757A (en) | Statistical method and device for use condition of charging pile | |
| US7606745B1 (en) | System and method for tracking a billing cycle | |
| CN115378928A (en) | Monitoring method and system based on cloud service | |
| US11915180B2 (en) | Systems and methods for identifying an officer at risk of an adverse event | |
| CN112491622B (en) | Method and system for locating fault root cause of service system | |
| CN113821933A (en) | APP flow prediction method and device, computer equipment and storage medium | |
| CN114155118A (en) | Highway engineering safety gridding management method and system | |
| CN101605339A (en) | Monitoring of network bandwidth resources operating position and prompt system and method | |
| CN114647555B (en) | Data early warning method, device, equipment and medium based on multi-service system | |
| CN117057425B (en) | Rule-type knowledge analysis method and device | |
| KR102011694B1 (en) | Public institutional income property linkage data verification system and its recording medium | |
| CN109933798A (en) | A kind of audit log analysis method and device | |
| CN116136684B (en) | Vehicle fault diagnosis method, device, electronic equipment and storage medium | |
| CN110619406A (en) | Method and device for determining business abnormity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |