CN109118056B - Service defect processing method and system - Google Patents
Service defect processing method and system Download PDFInfo
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- CN109118056B CN109118056B CN201810797440.2A CN201810797440A CN109118056B CN 109118056 B CN109118056 B CN 109118056B CN 201810797440 A CN201810797440 A CN 201810797440A CN 109118056 B CN109118056 B CN 109118056B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
- G06Q50/14—Travel agencies
Abstract
The invention discloses a method and a system for processing service defects, wherein the processing method comprises the following steps: s1, acquiring the service defect rate of the service defect corresponding to the service object; and S2, automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal. The invention can realize automatic and comprehensive monitoring and early warning of the service defects of the service objects in the OTA platform, and reduce the loss of the OTA platform; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method and a system for processing a service defect.
Background
In the OTA (Online Travel Agency) industry, objects such as hotels and suppliers cooperating with an OTA platform are collectively called service objects. The situation that a user cannot normally stay in a hotel due to 'full room' and the like after the OTA platform bookes the hotel and the customer experience is seriously influenced is called as a service defect. One of the main tasks of the service personnel of the OTA platform is to control the occurrence of such service defects, i.e. to reduce the service defect rate as much as possible.
At present, an OTA platform can periodically count the service defect rates of various service defect types of cooperative hotels and suppliers, automatically provide reports to service personnel every day or every week for checking and analyzing, and perform troubleshooting and certain service measures on service objects with abnormally high service defect rates.
However, the processing method for such service defects has the following defects: (1) the report data sent every day or every week is large in amount and has no key point, business personnel still need to spend a large amount of time for sorting and comparing, the service defects of abnormality and improvement are searched, the process is very complicated, and the working efficiency is very low. Over time, business personnel lose power, and then fall into the situation that reports are still automatically sent and are not processed by people; (2) because of lacking automatic, comprehensive control and early warning function, the simple dependence of this kind of report form or the self-observation of business personnel, can't discover the problem in time many times, have very strong hysteresis nature, wait business personnel finally discover the problem and when beginning to improve, have caused certain loss to the OTA platform.
Disclosure of Invention
The technical problem to be solved by the invention is that the processing method for controlling the service defects in the prior art is processed in a manual mode, the process is very complicated and the working efficiency is very low; meanwhile, the defects of loss and the like of the OTA platform are easily caused because automatic and comprehensive monitoring and early warning cannot be realized, and the purpose is to provide a method and a system for processing the service defects.
The invention solves the technical problems through the following technical scheme:
the invention provides a processing method of service defects, which comprises the following steps:
s1, acquiring the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with the service defect to the total number of orders;
and S2, automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal.
Preferably, step S1 includes:
acquiring the service defect rate of each type of service defect corresponding to each service object in the same time period;
step S2 includes:
automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
step S1 includes:
acquiring the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
step S2 includes:
and automatically judging whether the service defect rate exceeds a set threshold value by adopting a Seasonal Hybrid ESD algorithm (an abnormal detection algorithm), and if so, determining that the service object is abnormal.
Preferably, step S2 is followed by:
s3, generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs.
Preferably, step S3 is followed by:
s4, sending the alarm information to the abnormal service object;
s5, receiving feedback information sent by the abnormal service object;
wherein the feedback information comprises a rectification measure and/or a rectification deadline for rectifying the order with the service defect;
when the feedback information includes the adjustment period, step S2 is preceded by:
and judging whether the service object is in the rectification deadline, if not, continuing to the step S2.
Preferably, step S2 is followed by:
when the service object is determined to be abnormal by adopting a Lauda criterion or determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a first level;
when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a second level;
wherein the second level is greater than the first level;
step S4 specifically includes:
and preferentially sending the alarm information to the service object corresponding to the second grade.
The invention also provides a system for processing the service defects, which comprises a defect rate acquisition module and a first judgment module;
the defect rate obtaining module is used for obtaining the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with the service defect to the total number of orders;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal.
Preferably, the defect rate obtaining module is configured to obtain the service defect rate of each type of the service defect corresponding to each service object in the same time period;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
the defect rate obtaining module is used for obtaining the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a Seasonal Hybrid ESD algorithm, and if so, determining that the service object is abnormal.
Preferably, the processing system further comprises an alarm information generation module;
the alarm information generation module is used for generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs.
Preferably, the processing system further comprises an alarm information sending module, a feedback information receiving module and a second judging module;
the alarm information sending module is used for sending the alarm information to the abnormal service object;
the feedback information receiving module is used for receiving feedback information sent by the abnormal service object;
wherein the feedback information comprises a rectification measure and/or a rectification deadline for rectifying the order with the service defect;
the second judging module is configured to judge whether the service object is within the modification period when the feedback information received by the feedback information receiving module includes the modification period, and if not, invoke the first judging module.
Preferably, the processing system further comprises an exception level determination module;
the abnormal grade determining module is used for determining the abnormal grade of the service object as a first grade when the service object is determined to be abnormal by adopting a Lauda criterion or the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm;
the abnormal grade determining module is also used for determining the abnormal grade of the service object as a second grade when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm;
wherein the second level is greater than the first level;
the alarm information sending module is used for preferentially sending the alarm information to the service object corresponding to the second grade.
The positive progress effects of the invention are as follows:
in the invention, the service defect rate of the service defect corresponding to the service object in the OTA platform is obtained, and the service object abnormality of which the service defect rate exceeds the set threshold is automatically judged, so that the service defect of the service object in the OTA platform is automatically and comprehensively monitored and early warned, and the loss of the OTA platform is reduced; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
Drawings
Fig. 1 is a flowchart of a method for processing a service defect according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a method for processing a service defect according to embodiment 2 of the present invention.
Fig. 3 is a schematic block diagram of a system for processing a service defect according to embodiment 3 of the present invention.
Fig. 4 is a schematic block diagram of a system for processing a service defect according to embodiment 4 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the method for processing a service defect of this embodiment includes:
s101, acquiring the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with service defects to the total number of orders;
s102, automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal.
In the embodiment, the service defect rate of the service defect corresponding to the service object in the OTA platform is obtained, and the service object abnormality with the service defect rate exceeding the set threshold is automatically judged, so that the service defect of the service object in the OTA platform can be automatically and comprehensively monitored and early warned, and the loss of the OTA platform is reduced; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
Example 2
As shown in fig. 2, the method for processing the service defect of this embodiment is a further limitation to embodiment 1, and specifically:
step S101 includes:
acquiring the service defect rate of each type of service defect corresponding to each service object in the same time period;
step S102 includes:
automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
step S101 includes:
acquiring the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
step S102 includes:
and automatically judging whether the service defect rate exceeds a set threshold value by adopting a Seasonal Hybrid ESD algorithm, and if so, determining that the service object is abnormal.
Step S102 is followed by:
when the service object is determined to be abnormal by adopting a Lauda criterion or determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a first level;
when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a second level;
wherein the second level is greater than the first level.
Step S102 is followed by:
s103, generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs.
The alarm information may be in the form of a report, taking a hotel as an example, where the report includes a name of the abnormal hotel, a number of the abnormal hotel, a type of the service defect, a time range in which the hotel is determined to be abnormal, occurrence time of the service defect, order data of the occurrence of the service defect, and the like. And the service personnel of the OTA platform analyzes and positions the hotel with the abnormity according to the specific information in the report.
S104, sending alarm information to the abnormal service object;
specifically, the alarm information is preferentially sent to the service object corresponding to the second level, that is, the service object with a higher abnormal level is preferentially checked and solved.
S105, receiving feedback information sent by an abnormal service object;
the feedback information comprises at least one of the reason of the service defect of the order, the correction measure for correcting the order with the service defect and the correction time limit.
And according to the service range which is responsible for each service personnel, sending the report of the alarm information to the corresponding responsible abnormal service object in each period (every day or every week, specifically according to the specified detection period). And the abnormal service object is required to reply to the OTA platform within a certain time after receiving the report form of the corresponding alarm information, and the reply content comprises the reason causing the abnormality, the correction measure, the correction time limit and the like. And after the finishing time limit, the corresponding responsible person of the OTA platform checks and accepts and tracks the data subsequently so as to prevent the similar problems from happening again.
In addition, the information such as the adjustment period of each service object and the corresponding service defect type is manually arranged by service personnel of the OTA platform, is periodically input into the system, and is synchronized into the background database. And the OTA platform stores data such as orders and the like required by processing the service defects of each service object in an enterprise database.
When the feedback information includes the adjustment period, step S102 further includes:
and judging whether the service object is in the rectification time limit or not, and if not, continuing to the step S102.
In addition, the service defect processing method of the embodiment is adopted to perform cyclic processing on the service defect corresponding to the service object in the OTA platform according to the detection period. The process of data statistics and analysis can be aggregated to corresponding dimensions depending on the service defect type of the service object.
For example: if the service defect type is 'before full rate is determined', the detection period is daily, the detection dimension is the hotel, and then at the date T, the respective confirmed before full rate of each hotel within a certain time range (x days before the date T) is obtained to judge whether the hotel is abnormal.
By taking the suppliers as an example, the method can realize daily monitoring of the room fullness rate before confirmation of each supplier at home and abroad, receive positive feedback from business personnel, find problems in multiple aspects such as system problems, poor inventory resources, frequent personnel movement, insufficient personnel training and the like of part of suppliers through alarm information and subsequent investigation, communicate and correct in time, and effectively reduce the room fullness rate before confirmation.
In the embodiment, the service defect rate of the service defect corresponding to the service object in the OTA platform is acquired, the abnormality of the service object with the service defect rate exceeding a set threshold is automatically judged, meanwhile, alarm information is generated, and feedback information is sent to the abnormal service object, so that the service defect of the service object in the OTA platform is automatically and comprehensively monitored and early warned, and the loss of the OTA platform is reduced; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
Example 3
As shown in fig. 3, the system for processing service defects of the present embodiment includes a defect rate obtaining module 1 and a first determining module 2.
The defect rate obtaining module 1 is used for obtaining the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with service defects to the total number of orders;
the first judging module 2 is used for automatically judging whether the service defect rate exceeds a set threshold, and if so, determining that the service object is abnormal.
In the embodiment, by acquiring the service defect rate of the service defect corresponding to the service object in the OTA platform and automatically judging the service object abnormality of which the service defect rate exceeds the set threshold, the service defect of the service object in the OTA platform can be automatically and comprehensively monitored and early-warned, and the loss of the OTA platform is reduced; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
Example 4
As shown in fig. 4, the system for processing service defects of this embodiment is a further definition of embodiment 3, specifically:
the system for processing the service defect of this embodiment further includes an abnormal level determining module 3, an alarm information generating module 4, an alarm information sending module 5, a feedback information receiving module 6, and a second determining module 7.
The defect rate obtaining module 1 is used for obtaining the service defect rate of each type of service defect corresponding to each service object in the same time period;
the first judging module 2 is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
the defect rate obtaining module 1 is used for obtaining the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
the first judging module 2 is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a seaclean Hybrid ESD algorithm, and if so, determining that the service object is abnormal.
The abnormal grade determining module 3 is used for determining the abnormal grade of the service object as a first grade when the Lauda criterion is adopted to determine that the service object is abnormal or the Seasonal Hybrid ESD algorithm is adopted to determine that the service object is abnormal;
the abnormal grade determining module 3 is further used for determining the abnormal grade of the service object as a second grade when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm;
wherein the second level is greater than the first level.
The alarm information generation module 4 is used for generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs.
The alarm information may be in the form of a report, taking a hotel as an example, where the report includes a name of the abnormal hotel, a number of the abnormal hotel, a type of the service defect, a time range in which the hotel is determined to be abnormal, occurrence time of the service defect, order data of the occurrence of the service defect, and the like. And the service personnel of the OTA platform analyzes and positions the hotel with the abnormity according to the specific information in the report.
The alarm information sending module 5 is used for sending alarm information to an abnormal service object;
specifically, the alarm information sending module 5 is configured to preferentially send alarm information to a service object corresponding to the second level, that is, to implement preferential investigation and solve the service object with a higher abnormal level.
The feedback information receiving module 6 is configured to receive feedback information sent by an abnormal service object;
the feedback information comprises at least one of the reason of the service defect of the order, the correction measure for correcting the order with the service defect and the correction time limit.
And according to the service range which each service person is responsible for, sending the report of the alarm information to the corresponding responsible abnormal service object in each period (which can be determined every day or every week, specifically according to the specified detection period). And the abnormal service object is required to reply to the OTA platform within a certain time after receiving the report form of the corresponding alarm information, and the reply content comprises the reason causing the abnormality, the correction measure, the correction time limit and the like. And after the finishing time limit, the corresponding responsible person of the OTA platform checks and accepts and tracks the data subsequently so as to prevent the similar problems from happening again.
And the information of each service object and the adjustment period and the like of the corresponding service defect type is manually arranged by service personnel of the OTA platform, and is periodically input into the system and synchronized to the background database. And the OTA platform stores data such as orders and the like required by processing the service defects of each service object in an enterprise database.
The second judging module 7 is configured to judge whether the service object is within the modification period when the feedback information includes the modification period, and if not, invoke the first judging module 2.
In addition, the service defect processing method of the embodiment is adopted to detect the service defect corresponding to the service object in the OTA platform according to the detection period. The process of data statistics and analysis can be aggregated to corresponding dimensions depending on the service defect type of the service object.
For example: if the service defect type is 'before full rate is determined', the detection period is daily, the detection dimension is the hotel, and then at the date T, the respective confirmed before full rate of each hotel within a certain time range (x days before the date T) is obtained to judge whether the hotel is abnormal.
By taking the suppliers as an example, the house fullness before confirmation of each supplier in China and abroad can be monitored every day, positive feedback from business personnel is received, the problems of system problems, poor inventory resources, frequent personnel movement, insufficient personnel training and the like of part of suppliers are found through alarm information and subsequent investigation, and the house fullness before confirmation is effectively reduced through timely communication and rectification.
In the embodiment, the service defect rate of the service defect corresponding to the service object in the OTA platform is acquired, the abnormality of the service object with the service defect rate exceeding a set threshold is automatically judged, meanwhile, alarm information is generated, and feedback information is sent to the abnormal service object, so that the service defect of the service object in the OTA platform is automatically and comprehensively monitored and early warned, and the loss of the OTA platform is reduced; and the processing process is simple, the working pressure of business personnel is reduced, targeted guidance is provided for the work of the business personnel, and the working efficiency is improved.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (4)
1. A method for processing service defects, the method comprising:
s1, acquiring the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with the service defect to the total number of orders;
s2, automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal;
s3, generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs;
s4, sending the alarm information to the abnormal service object;
s5, receiving feedback information sent by the abnormal service object;
wherein the feedback information comprises a rectification measure and/or a rectification deadline for rectifying the order with the service defect;
when the feedback information includes the adjustment period, step S2 is preceded by:
judging whether the service object is in the rectification deadline or not, if not, continuing to the step S2;
step S2 is followed by:
when the service object is determined to be abnormal by adopting a Lauda criterion or determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a first level;
when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm, determining the abnormal level of the service object as a second level;
wherein the second level is greater than the first level;
step S4 specifically includes:
and preferentially sending the alarm information to the service object corresponding to the second grade.
2. The method for processing the service defect as claimed in claim 1, wherein the step S1 includes:
acquiring the service defect rate of each type of service defect corresponding to each service object in the same time period;
step S2 includes:
automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
step S1 includes:
acquiring the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
step S2 includes:
and automatically judging whether the service defect rate exceeds a set threshold value by adopting a Seasonal Hybrid ESD algorithm, and if so, determining that the service object is abnormal.
3. The system for processing the service defects is characterized by comprising a defect rate acquisition module and a first judgment module;
the defect rate obtaining module is used for obtaining the service defect rate of the service defect corresponding to the service object;
the service defect rate is used for representing the ratio of the number of orders of the service object with the service defect to the total number of orders;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value, and if so, determining that the service object is abnormal;
the processing system also comprises an alarm information generation module;
the alarm information generation module is used for generating alarm information corresponding to the abnormal service object;
wherein the alarm information includes at least one of a name of the service object, a number of the service object, a type of the service defect, a time range in which the service object is determined to be abnormal, an occurrence time of the service defect, and order data in which the service defect occurs;
the processing system also comprises an alarm information sending module, a feedback information receiving module and a second judging module;
the alarm information sending module is used for sending the alarm information to the abnormal service object;
the feedback information receiving module is used for receiving feedback information sent by the abnormal service object;
wherein the feedback information comprises a rectification measure and/or a rectification deadline for rectifying the order with the service defect;
the second judging module is used for judging whether the service object is within the rectification time limit or not when the feedback information received by the feedback information receiving module comprises the rectification time limit, and if not, calling the first judging module;
the processing system further comprises an exception level determination module;
the abnormal grade determining module is used for determining the abnormal grade of the service object as a first grade when the service object is determined to be abnormal by adopting a Lauda criterion or the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm;
the abnormal grade determining module is also used for determining the abnormal grade of the service object as a second grade when the service object is determined to be abnormal by adopting a Lauda criterion and the service object is determined to be abnormal by adopting a Seasonal Hybrid ESD algorithm;
wherein the second level is greater than the first level;
the alarm information sending module is used for preferentially sending the alarm information to the service object corresponding to the second grade.
4. The system for processing service defects according to claim 3, wherein the defect rate obtaining module is configured to obtain the service defect rate of each type of the service defect corresponding to each of the service objects in the same time period;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a Lauda criterion, and if so, determining that the service object is abnormal; and/or the presence of a gas in the gas,
the defect rate obtaining module is used for obtaining the service defect rate of each type of service defect corresponding to the same service object in the current time period and the time period of the historical set number;
the first judging module is used for automatically judging whether the service defect rate exceeds a set threshold value by adopting a Seasonal Hybrid ESD algorithm, and if so, determining that the service object is abnormal.
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