CN117035582A - Sub-health website early warning method, device, equipment and storage medium - Google Patents
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Abstract
The invention provides a sub-health website early warning method, which comprises the following steps: selecting an early warning index, wherein the early warning index is used for selecting sub-health website early warning indexes from sub-health website early warning index items; the method comprises the steps of configuring index parameters, wherein the index parameters are used for configuring corresponding sub-health website early warning index parameters for early warning sub-health website index items; confirming an early warning rule, wherein the early warning rule is used for confirming a corresponding sub-health website early warning rule through sub-health website early warning indexes and sub-health website early warning index parameters; judging whether the network point to be judged is sub-healthy or not, and comparing the network point to be judged with the sub-healthy network point early warning rule to judge whether the network point to be judged is sub-healthy or not; and summarizing the sub-health network points, wherein the summarizing and monitoring are performed on the sub-health network points. The invention can effectively perform early warning, monitoring and processing on sub-health network points, improves the guarantee rate of the sub-health network points, stabilizes the logistics circulation efficiency, ensures the ageing of the logistics circulation, greatly reduces the complaint rate of customers and improves the satisfaction degree of the customers on network point services.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a sub-health website early warning method, device, equipment and storage medium.
Background
With the vigorous development of the logistics speed transportation service, the rapid part quantity is rapidly increased, the industry competition is more and more vigorous, the number of logistics network points is also increased, and the logistics network points are transit points which are necessary in the existing logistics stage, so that the logistics center function is realized. The logistics orders are dispatched after entering the network points, and are transferred and transported after being collected, and all the logistics orders need to participate in the network points. The operational quality of the website is thus related to the timeliness of the logistics order and the order transfer rate. At present, the existing network points are easy to be abnormal in network point operation caused by the unreliability factors or human factors, and the abnormal network point operation can cause abnormal collection, delivery and the like of the logistics order, and the network points with poor operation conditions are sub-health network points compared with the network points with normal operation due to unstable network points and information lag. The superior management department of the website cannot monitor, early warn and process, and hopefully receives the condition of bad operation of the sub-health website in advance and processes the sub-health website problem.
In order to effectively perform early warning, monitoring and processing on sub-health network points, it is necessary to invent a sub-health network point early warning method, device, equipment and storage medium.
Disclosure of Invention
The invention mainly aims to solve the technical problem that the sub-health network points cannot be effectively pre-warned, monitored and processed in the prior art.
The first aspect of the invention provides a sub-health website early warning method, which comprises the following steps:
selecting an early warning index, wherein the early warning index is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
configuring index parameters, wherein the index parameters are used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
confirming an early warning rule, wherein the early warning rule is used for confirming a corresponding sub-health website early warning rule through the sub-health website early warning index and the sub-health website early warning index parameter;
judging whether the network point to be judged is sub-healthy or not, and comparing the network point to be judged with the sub-healthy network point early warning rule to judge whether the network point to be judged is sub-healthy or not;
and summarizing the sub-health network points, wherein the summarizing and monitoring are performed on the sub-health network points.
Optionally, in a first implementation manner of the first aspect of the present invention, the selecting an early warning indicator includes:
presetting sub-health website early warning index items;
selecting sub-health website early warning indexes matched with the website to be judged;
wherein, the sub-health website early warning index item comprises one or more of the following items: whether to screen the bill, the signing rate, the bill amount, the prepayment and the charge.
Optionally, in a second implementation manner of the first aspect of the present invention, the configuration index parameter includes:
configuring corresponding sub-health website early warning index parameters according to the selected sub-health website early warning index;
setting a parameter value of a sub-health website early warning index parameter;
when the sub-health website early warning index is whether to screen a bill, the sub-health website early warning index parameter value is an abnormal hair stopping area;
when the sub-health website early warning index is the signing rate, the sub-health website early warning index parameter value of the sub-health website is that the signing rate is more than 90% and the dispatching quantity is more than 1000 tickets;
when the early warning index is the amount of a ticket, the parameter value of the early warning index of the sub-health website is Zhou Shan ticket amount which is more than or equal to 0.2 and the average daily dispatch is more than 1000 tickets;
when the sub-health website early warning index is pre-payment, the parameter value of the sub-health website early warning index is pre-payment for 7 continuous days, and the average day dispatch is more than 1000 tickets;
and when the sub-health website early warning index is fee dispatching, the sub-health website early warning index parameter value is that the fee dispatching of the single ticket in the week is less than or equal to 0.9, and the average daily dispatch is more than 1000 tickets.
Optionally, in a third implementation manner of the first aspect of the present invention, the area where abnormal hair-stop exists includes any one of the following: the operation state of the first-level network point is closing stop, the operation state of the service part is closing stop, and the operation state of the sub-part is closing stop.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the confirming the early warning rule includes:
confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
executing the sub-health website early warning rule.
Optionally, in a fifth implementation manner of the first aspect of the present invention, determining whether the patient is sub-healthy includes:
comparing the to-be-judged website with the sub-health website early warning rule;
if the to-be-judged mesh point accords with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a sub-health mesh point;
and if the to-be-judged mesh point does not accord with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a health mesh point.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the summarizing sub-health website includes:
summarizing the sub-health network points to obtain a sub-health network point summary table;
and monitoring the sub-health website summary table.
The second aspect of the present invention provides a sub-health website early warning device, comprising:
the early warning index selection module is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
the configuration index parameter module is used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
the confirming and early warning rule module is used for confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
the sub-health judging module is used for comparing the to-be-judged website with the sub-health website early warning rule and judging whether the to-be-judged website is a sub-health website or not;
and the summarizing sub-health website module is used for summarizing and monitoring the sub-health website.
A third aspect of the present invention provides a computer device comprising a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the computer device to perform the sub-health website alert method as described above.
A fourth aspect of the present invention provides a computer readable storage medium having stored thereon a computer program to be loaded by a processor to perform a sub-health website pre-warning method as described above.
The sub-health website early warning method can effectively perform early warning, monitoring and processing on the sub-health website, improves the guarantee rate of the sub-health website, stabilizes the logistics circulation efficiency, ensures the logistics circulation timeliness, greatly reduces the complaint rate of the client, and improves the satisfaction degree of the client for website service.
Drawings
FIG. 1 is a flow chart of a sub-health website early warning method provided by an embodiment of the invention;
FIG. 2 is a flowchart of selecting an early warning indicator in the sub-health website early warning method according to the embodiment of the present invention;
FIG. 3 is a flowchart of a method for providing index parameters in a sub-health website early warning method according to an embodiment of the present invention;
fig. 4 is a flowchart of a confirmation early warning rule in the sub-health website early warning method provided by the embodiment of the invention;
FIG. 5 is a flowchart for determining whether sub-health is present in the sub-health website early warning method according to the embodiment of the present invention;
fig. 6 is a flowchart of summarizing sub-health network points in the sub-health network point early warning method provided by the embodiment of the invention;
fig. 7 is a schematic structural diagram of a sub-health website early warning device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another sub-health website early warning device according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The invention provides a sub-health website early warning method, which comprises the following steps: selecting an early warning index, wherein the early warning index is used for selecting sub-health website early warning indexes from sub-health website early warning index items; configuring index parameters, wherein the index parameters are used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items; confirming an early warning rule, wherein the early warning rule is used for confirming a corresponding sub-health website early warning rule through the sub-health website early warning index and the sub-health website early warning index parameter; judging whether the network point to be judged is sub-healthy or not, and comparing the network point to be judged with the sub-healthy network point early warning rule to judge whether the network point to be judged is sub-healthy or not; and summarizing the sub-health network points, wherein the summarizing and monitoring are performed on the sub-health network points.
The sub-health website early warning method can effectively perform early warning, monitoring and processing on the sub-health website, improves the guarantee rate of the sub-health website, stabilizes the logistics circulation efficiency, ensures the logistics circulation timeliness, greatly reduces the complaint rate of the client, and improves the satisfaction degree of the client for website service.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For easy understanding, a specific flow of an embodiment of the present invention is described below, referring to fig. 1, where the first embodiment of the sub-health website early warning method in the embodiment of the present invention includes:
101. selecting an early warning index, wherein the early warning index is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
102. configuring index parameters, wherein the index parameters are used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
103. confirming an early warning rule, wherein the early warning rule is used for confirming a corresponding sub-health website early warning rule through the sub-health website early warning index and the sub-health website early warning index parameter;
104. judging whether the network point to be judged is sub-healthy or not, and comparing the network point to be judged with the sub-healthy network point early warning rule to judge whether the network point to be judged is sub-healthy or not;
105. and summarizing the sub-health network points, wherein the summarizing and monitoring are performed on the sub-health network points.
In the embodiment of the invention, the network points with poor operation conditions can be pre-warned, monitored and processed, and the network points can be correspondingly assisted later, so that the operation conditions of the network points can be improved. Through guaranteeing sub-health net point, can stabilize the efficiency of commodity circulation, guarantee commodity circulation's ageing, reduce customer's complaint rate by a wide margin, promoted customer's satisfaction to net point service.
Referring to fig. 2, based on the foregoing embodiment of the second embodiment of the sub-health website pre-warning method according to the embodiment of the present invention, the selecting pre-warning indicators includes:
201. presetting sub-health website early warning index items;
202. selecting sub-health website early warning indexes matched with the website to be judged;
wherein, the sub-health website early warning index item comprises one or more of the following items: whether to screen the bill, the signing rate, the bill amount, the prepayment and the charge.
In some embodiments, the whether to screen the form may be queried by the screening system. Specifically, the screening data before the early warning day can be queried through a closing net point list in the screening system.
In some embodiments, the yield is a +1d yield, wherein the +1d yield = +1d actual dispatch amount/+1d supposed dispatch amount.
In some embodiments, ticket amount = actual deduction/traffic.
In some embodiments, the actual deduction entails deleting the customer's claim, the upper payoff fee, the interceptor service fee, the arbitrated service fee, the pay for the payoff fee, the scattered bill service fee, and the like.
In some embodiments, the statistics period of the ticket amount may be counted in weeks, and the last week of the early warning day may be counted from monday to monday.
In some embodiments, the pre-payment indicators may count points with a daily average of > 1000 tickets for 7 consecutive days of arrears through the pre-payment system.
In some embodiments, the statistics period of the daily dispatch may be counted in weeks, and the last week of the early warning day may be the last week of the early warning day.
In some embodiments, the fee may be paid for in a courier settlement system.
In some embodiments, the statistics period of the fee may be counted in weeks, and the last week of the early warning day may be a last week of the early warning day.
In the embodiment of the invention, the early warning is carried out on the network points by selecting a plurality of indexes, the selected indexes are reasonable and effective, and effective statistics and prognosis can be carried out on the dispatching conditions of the network points.
Referring to fig. 3, in a third embodiment of the sub-health website pre-warning method according to the embodiment of the present invention, the configuration index parameters include:
301. configuring corresponding sub-health website early warning index parameters according to the selected sub-health website early warning index;
302. setting a parameter value of a sub-health website early warning index parameter;
in some embodiments, when the sub-health website early warning index is whether to screen, the sub-health website early warning index parameter value is an abnormal hair-stopping area;
in some embodiments, the area where abnormal stop occurs includes a first-level network point with an operation state of stop, a service portion with an operation state of stop, and a branch with an operation state of stop.
In some embodiments, the operation state of the primary website, the operation state of the service part and the operation state of the subsection can be checked and confirmed through a system.
In some embodiments, the users capable of viewing confirmation of abnormal stop-send areas include headquarter personnel, district total, province network manager responsible, province customer service responsible, grid length, etc.
In some embodiments, when the sub-health website early warning index is a signing rate, the sub-health website early warning index parameter value is a signing rate greater than 90% and the dispatch amount is greater than 1000 tickets;
in some embodiments, when the early warning index is the ticket amount, the sub-health website early warning index parameter value is Zhou Shan ticket amount not less than 0.2 and the daily dispatch is greater than 1000 tickets;
in some embodiments, when the sub-health website pre-warning indicator is pre-payment, the sub-health website pre-warning indicator parameter value is pre-payment for 7 consecutive days owed and the daily dispatch is > 1000 tickets;
in some embodiments, when the sub-health website early warning index is a fee, the sub-health website early warning index parameter value is that the fee is less than or equal to 0.9 for the next week ticket and the average day ticket is more than 1000 tickets.
In the embodiment of the invention, the key index items and the parameter values of the network point data are set, so that the network point with poor operation is more specific and more vivid, management staff of a headquarter can intuitively and truly know the operation condition of the network point in a large area, a province and a regional total, and the network point early warning and management of the network point are improved.
Referring to fig. 4, in a fourth embodiment of the sub-health website pre-warning method according to the present invention,
the confirmation early warning rule comprises:
401. confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
402. executing the sub-health website early warning rule.
In the embodiment of the invention, the performance before the website can be checked through the confirmed early warning rule, so that the future business operation condition of the website can be prejudged.
Referring to fig. 5, in a fifth embodiment of the sub-health website pre-warning method according to the embodiment of the present invention, the determining whether the website is sub-health includes:
501. comparing the to-be-judged website with the sub-health website early warning rule;
502. if the to-be-judged mesh point accords with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a sub-health mesh point;
503. and if the to-be-judged mesh point does not accord with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a health mesh point.
In the embodiment of the invention, the operation condition of the website is pre-warned through effective comparison and judgment, and the headquarter can timely and stably acquire the pre-warning information of the website.
Referring to fig. 6, in a sixth embodiment of the sub-health website early warning method according to the embodiment of the present invention, the summarizing sub-health website includes:
601. summarizing the sub-health network points to obtain a sub-health network point summary table;
602. and monitoring the sub-health website summary table. The follow-up operation state of the website can be timely judged in the sub-health state of the website according to monitoring of the sub-health website at the pre-warning place.
In some embodiments, the sub-health website summary table can be derived according to a line graph, so that the increase and decrease conditions of the sub-health website can be effectively displayed.
In some embodiments, the sub-health website summary table can be queried by report level, category, and the like.
In some embodiments, the report level of the sub-health website summary table may include a summary table, a website table, and the like.
In some embodiments, query categories of the sub-health website summary table include by province, by allocation, and the like.
In some embodiments, report types are partitioned by province latitude, and may include grid tables, mesh point tables, branch tables, customer tables, single number tables, and the like. The report types are divided according to the allocation latitude, and can comprise a website table, a subsection table, a client table, a single number table and the like.
In some embodiments, the summary table may also be filtered by order sources, the types of order sources including full vehicle, panning, multiple spellings, jindong, trembling, express, concert, etc.
In some embodiments, the summary table may also be screened by product types including full, preferential/economic, express, priority, rhyme must, express, orange net, and the like.
In some embodiments, the summary table may also be filtered by window types, including full volume, marketing window, website window, and the like.
In the embodiment of the invention, the summary table can be screened according to various screening types, a headquarter or other users can check the summarized sub-health website table according to the self-set screening conditions, the operation trend of the website in each region can be seen, the headquarter can obtain the operation information of the website in time, and measures can be taken to improve the operation condition.
The sub-health website early warning method in the embodiment of the present invention is described above, and the sub-health website early warning device in the embodiment of the present invention is described below, referring to fig. 7, one embodiment of the sub-health website early warning device in the embodiment of the present invention includes:
the early warning index selection module 701 is used for selecting an early warning index of the sub-health website from the early warning index items of the sub-health website;
the configuration index parameter module 702 is configured to configure the corresponding sub-health website early warning index parameter for the early warning sub-health website index item;
the confirming and early warning rule module 703 is configured to confirm a corresponding sub-health website early warning rule according to the sub-health website early warning index and the sub-health website early warning index parameter;
the judging sub-health module 704 is configured to compare a to-be-judged website with the sub-health website early warning rule, and judge whether the to-be-judged website is a sub-health website;
and a summary sub-health website module 705, configured to aggregate and monitor the sub-health website.
In the embodiment of the invention, the network points with poor operation conditions can be pre-warned, monitored and processed, and the network points can be correspondingly assisted later, so that the operation conditions of the network points can be improved. Through guaranteeing sub-health net point, can stabilize the efficiency of commodity circulation, guarantee commodity circulation's ageing, reduce customer's complaint rate by a wide margin, promoted customer's satisfaction to net point service.
Referring to fig. 8, another embodiment of the sub-health website early warning device according to the present invention includes:
the early warning index selection module is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
in some embodiments, the selecting the pre-warning indicator includes:
a preset unit 7011, configured to preset a sub-health website early warning indicator item;
a selecting unit 7012, configured to select a sub-health website early warning indicator that is matched with the website to be determined;
wherein, the sub-health website early warning index item comprises one or more of the following items: whether to screen the bill, the signing rate, the bill amount, the prepayment and the charge.
In some embodiments, the whether to screen the form may be queried by the screening system. Specifically, the screening data before the early warning day can be queried through a closing net point list in the screening system.
In some embodiments, the yield is a +1d yield, wherein the +1d yield = +1d actual dispatch amount/+1d supposed dispatch amount.
In some embodiments, ticket amount = actual deduction/traffic.
In some embodiments, the actual deduction entails deleting the customer's claim, the upper payoff fee, the interceptor service fee, the arbitrated service fee, the pay for the payoff fee, the scattered bill service fee, and the like.
In some embodiments, the statistics period of the ticket amount may be counted in weeks, and the last week of the early warning day may be counted from monday to monday.
In some embodiments, the pre-payment indicators may count points with a daily average of > 1000 tickets for 7 consecutive days of arrears through the pre-payment system.
In some embodiments, the statistics period of the daily dispatch may be counted in weeks, and the last week of the early warning day may be the last week of the early warning day.
In some embodiments, the fee may be paid for in a courier settlement system.
In some embodiments, the statistics period of the fee may be counted in weeks, and the last week of the early warning day may be a last week of the early warning day.
The invention can set a statistics period to early warn, monitor and process the network points with poor operation conditions, and can correspondingly support the network points after statistics, so that the operation conditions of the network points can be improved. Through guaranteeing sub-health net point, can stabilize the efficiency of commodity circulation, guarantee commodity circulation's ageing, reduce customer's complaint rate by a wide margin, promoted customer's satisfaction to net point service.
The configuration index parameter module is used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
in some embodiments, the configuration index parameter includes:
the configuration unit 7021 is used for configuring corresponding sub-health website early warning index parameters according to the selected sub-health website early warning index;
the setting unit 7022 is used for setting parameter values of sub-health website early warning index parameters;
in some embodiments, when the sub-health website early warning index is whether to screen, the sub-health website early warning index parameter value is an abnormal hair-stopping area;
in some embodiments, the area where abnormal stop occurs includes a first-level network point with an operation state of stop, a service portion with an operation state of stop, and a branch with an operation state of stop.
In some embodiments, the operation state of the primary website, the operation state of the service part and the operation state of the subsection can be checked and confirmed through a system.
In some embodiments, the users capable of viewing confirmation of abnormal stop-send areas include headquarter personnel, district total, province network manager responsible, province customer service responsible, grid length, etc.
In some embodiments, when the sub-health website early warning index is a signing rate, the sub-health website early warning index parameter value is a signing rate greater than 90% and the dispatch amount is greater than 1000 tickets;
in some embodiments, when the early warning index is the ticket amount, the sub-health website early warning index parameter value is Zhou Shan ticket amount not less than 0.2 and the daily dispatch is greater than 1000 tickets;
in some embodiments, when the sub-health website pre-warning indicator is pre-payment, the sub-health website pre-warning indicator parameter value is pre-payment for 7 consecutive days owed and the daily dispatch is > 1000 tickets;
in some embodiments, when the sub-health website early warning index is a fee, the sub-health website early warning index parameter value is that the fee is less than or equal to 0.9 for the next week ticket and the average day ticket is more than 1000 tickets.
By setting key index items and parameter values of the check website data, the check of the website with poor operation is more specific and visual, and management staff of a headquarter can intuitively and truly know the operation condition of the website in a large area, a province and the regional total, thereby having good effects of early warning and management of the website.
The abnormal hair-stop existence area comprises any one of the following: the operation state of the first-level network point is closing stop, the operation state of the service part is closing stop, and the operation state of the sub-part is closing stop.
The confirming and early warning rule module is used for confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
in some embodiments, the validation pre-warning rules include:
a confirmation unit 7031, configured to confirm a corresponding sub-health website early warning rule according to the sub-health website early warning indicator and the sub-health website early warning indicator parameter;
the executing unit 7032 is configured to execute the sub-health website early warning rule.
The headquarter can check the performance before the website through the confirmed early warning rule, so as to pre-judge the future business operation condition of the website.
The sub-health judging module is used for comparing the to-be-judged website with the sub-health website early warning rule and judging whether the to-be-judged website is a sub-health website or not;
in some embodiments, the determining whether the patient is sub-healthy comprises:
a comparison unit 7041, configured to compare the to-be-judged website with the sub-health website early warning rule;
a judging unit 7042, configured to judge that the to-be-judged website is a sub-health website if the to-be-judged website accords with the sub-health website early warning rule; and if the to-be-judged mesh point does not accord with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a health mesh point. Through effective comparison and judgment, the management condition of the website is pre-warned, and the headquarter can timely and stably acquire the pre-warning information of the website
And the summarizing sub-health website module is used for summarizing and monitoring the sub-health website.
In some embodiments, the summarized sub-health website includes:
a summarizing unit 7051, configured to summarize the sub-health website to obtain a sub-health website summarizing table;
the monitoring unit 7052 is configured to monitor the sub-health website summary table. The follow-up operation state of the website can be timely judged in the sub-health state of the website according to monitoring of the sub-health website at the pre-warning place.
In some embodiments, the sub-health website summary table can be derived according to a line graph, so that the increase and decrease conditions of the sub-health website can be effectively displayed.
In some embodiments, the sub-health website summary table can be queried by report level, category, and the like.
In some embodiments, the report level of the sub-health website summary table may include a summary table, a website table, and the like.
In some embodiments, query categories of the sub-health website summary table include by province, by allocation, and the like.
In some embodiments, report types are partitioned by province latitude, and may include grid tables, mesh point tables, branch tables, customer tables, single number tables, and the like. The report types are divided according to the allocation latitude, and can comprise a website table, a subsection table, a client table, a single number table and the like.
In some embodiments, the summary table may also be filtered by order sources, the types of order sources including full vehicle, panning, multiple spellings, jindong, trembling, express, concert, etc.
In some embodiments, the summary table may also be screened by product types including full, preferential/economic, express, priority, rhyme must, express, orange net, and the like.
In some embodiments, the summary table may also be filtered by window types, including full volume, marketing window, website window, and the like.
The summary table obtained by the invention can be screened according to various screening types, a headquarter or other users can check the summarized sub-health website table according to the self-set screening conditions, the operation trend of the website in each region can be seen, the management information of the website can be obtained in time by the headquarter, and measures can be taken to improve the operation condition.
Fig. 7 and fig. 8 above describe the sub-health website early warning device in the embodiment of the present invention in detail from the point of view of modularized functional entities, and the electronic device in the embodiment of the present invention is described in detail from the point of view of hardware processing.
Fig. 9 is a schematic structural diagram of an electronic device provided in an embodiment of the present invention, where the electronic device 900 may vary considerably in configuration or performance, and may include one or more processors (central processing units, CPU) 910 (e.g., one or more processors) and a memory 820, one or more storage media 930 (e.g., one or more mass storage devices) storing application programs 933 or data 932. Wherein the memory 920 and storage medium 930 may be transitory or persistent storage. The program stored on the storage medium 930 may include one or more upper modules (not shown) managed with client interests, each of which may include a series of instruction operations for the electronic device 900. Still further, the processor 910 may be configured to communicate with a storage medium 930 and execute a series of instruction operations in the storage medium 930 on the electronic device 900.
The electronic device 900 may also include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input/output interfaces 950, and/or one or more operating systems 931, such as Windows Serve, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the electronic device structure shown in fig. 9 is not limiting on the electronic device-based architecture and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, where instructions are stored that, when executed on a computer, cause the computer to perform the steps of a sub-health website warning method.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system or apparatus and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The sub-health website early warning method is characterized by comprising the following steps of:
selecting an early warning index, wherein the early warning index is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
configuring index parameters, wherein the index parameters are used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
confirming an early warning rule, wherein the early warning rule is used for confirming a corresponding sub-health website early warning rule through the sub-health website early warning index and the sub-health website early warning index parameter;
judging whether the network point to be judged is sub-healthy or not, and comparing the network point to be judged with the sub-healthy network point early warning rule to judge whether the network point to be judged is sub-healthy or not;
and summarizing the sub-health network points, wherein the summarizing and monitoring are performed on the sub-health network points.
2. The sub-health website pre-warning method according to claim 1, wherein the selecting pre-warning index comprises:
presetting sub-health website early warning index items;
selecting sub-health website early warning indexes matched with the website to be judged;
wherein, the sub-health website early warning index item comprises one or more of the following items: whether to screen the bill, the signing rate, the bill amount, the prepayment and the charge.
3. The sub-health website pre-warning method according to claim 2, wherein the configuration index parameter comprises:
configuring corresponding sub-health website early warning index parameters according to the selected sub-health website early warning index;
setting a parameter value of a sub-health website early warning index parameter;
when the sub-health website early warning index is whether to screen a bill, the sub-health website early warning index parameter value is an abnormal hair stopping area;
when the sub-health website early warning index is the signing rate, the sub-health website early warning index parameter value of the sub-health website is that the signing rate is more than 90% and the dispatching quantity is more than 1000 tickets;
when the early warning index is the amount of a ticket, the parameter value of the early warning index of the sub-health website is Zhou Shan ticket amount which is more than or equal to 0.2 and the average daily dispatch is more than 1000 tickets;
when the sub-health website early warning index is pre-payment, the parameter value of the sub-health website early warning index is pre-payment for 7 continuous days, and the average day dispatch is more than 1000 tickets;
and when the sub-health website early warning index is fee dispatching, the sub-health website early warning index parameter value is that the fee dispatching of the single ticket in the week is less than or equal to 0.9, and the average daily dispatch is more than 1000 tickets.
4. The sub-health website pre-warning method according to claim 3, wherein the abnormal hair-stop existing area comprises any one of the following: the operation state of the first-level network point is closing stop, the operation state of the service part is closing stop, and the operation state of the sub-part is closing stop.
5. The sub-health website pre-warning method according to claim 3, wherein the confirming pre-warning rule comprises:
confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
executing the sub-health website early warning rule.
6. The method of claim 5, wherein determining whether the website is sub-healthy comprises:
comparing the to-be-judged website with the sub-health website early warning rule;
if the to-be-judged mesh point accords with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a sub-health mesh point;
and if the to-be-judged mesh point does not accord with the sub-health mesh point early warning rule, judging that the to-be-judged mesh point is a health mesh point.
7. The sub-health website pre-warning method according to claim 1, wherein the summarizing sub-health website comprises:
summarizing the sub-health network points to obtain a sub-health network point summary table;
and monitoring the sub-health website summary table.
8. The utility model provides a sub-health site early warning device which characterized in that includes:
the early warning index selection module is used for selecting sub-health website early warning indexes from sub-health website early warning index items;
the configuration index parameter module is used for configuring corresponding sub-health website early warning index parameters for the early warning sub-health website index items;
the confirming and early warning rule module is used for confirming corresponding sub-health website early warning rules through the sub-health website early warning indexes and the sub-health website early warning index parameters;
the sub-health judging module is used for comparing the to-be-judged website with the sub-health website early warning rule and judging whether the to-be-judged website is a sub-health website or not;
and the summarizing sub-health website module is used for summarizing and monitoring the sub-health website.
9. A computer device comprising a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invoking the instructions in the memory to cause the computer device to perform the sub-health website pre-warning method of any one of claims 1-7.
10. A computer readable storage medium having stored thereon a computer program, the computer program being loaded by a processor to perform the sub-health website pre-warning method of any one of claims 1-7.
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