CN111815186A - Strategy configuration and strategy case dispatching method based on collection urging system - Google Patents

Strategy configuration and strategy case dispatching method based on collection urging system Download PDF

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CN111815186A
CN111815186A CN202010674112.0A CN202010674112A CN111815186A CN 111815186 A CN111815186 A CN 111815186A CN 202010674112 A CN202010674112 A CN 202010674112A CN 111815186 A CN111815186 A CN 111815186A
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variable
strategy
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CN111815186B (en
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王玉海
张猛
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Smart Co Ltd Beijing Technology Co Ltd
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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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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063112—Skill-based matching of a person or a group to a task
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • 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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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof

Abstract

The invention provides a strategy configuration and strategy case dispatching method of a collection system, which comprises the following steps: acquiring a newly added strategy variable, performing variable name verification on the newly added strategy variable, and judging whether a variable name exists in a variable table or not; if so, storing the variable table; otherwise, adding the newly added strategy conditions related to the newly added strategy conditions to the variable table and storing the newly added strategy conditions; and allocating proportion cases to the catalytic recovery system based on the stored variable table and based on the risk level of the cases in the catalytic recovery system and the weight level of the catalytic recovery system. The dynamic configuration strategy conditions improve the development efficiency, reduce the cost, realize the case assignment by setting the risk level and the weight level, and facilitate the improvement of the rationality of intelligent case assignment.

Description

Strategy configuration and strategy case dispatching method based on collection urging system
Technical Field
The invention relates to the technical field of wind control management, in particular to a strategy configuration and strategy case assignment method based on a collection urging system.
Background
The strategy is composed of a strategy and strategy conditions, and the conditions in the current collection strategy are fixed conditions, such as overdue days and overdue money. If a client wants to add a condition (such as overdue stage) configuration strategy, operations such as modifying a back-end code, modifying a database, re-publishing and the like are needed, the development efficiency is low, and the product does not meet the requirements of the client and is difficult to be commercialized.
In addition, the execution result of the collection strategy is generally distributed evenly or according to weight, the cases assigned to the names of the collectors are evenly distributed according to risk grades, because the collectors need to perform performance assessment, the cases are low in performance and easy to cause dissatisfaction, and the current distribution is difficult to achieve the situation of average cases under the names. The reason is that the case number assigned by each case strategy is different, for example, each time a case is assigned, the case is assigned to the person with high weight each time, and no case is assigned to other persons. Even if the number of cases is large, the case sharing can only be ensured to be uniform, and the case sharing under the name of the receiver in the month is difficult to ensure.
Therefore, the invention provides a strategy configuration and strategy case assignment method based on a collection system.
Disclosure of Invention
The invention provides a strategy configuration and strategy case assignment method based on a collection system, which is used for solving the technical problems.
The invention provides a strategy configuration and strategy case dispatching method of a collection system, which comprises the following steps:
acquiring a newly added strategy variable, performing variable name verification on the newly added strategy variable, and judging whether the variable name exists in a variable table or not;
if so, storing the variable table; otherwise, adding a newly added strategy condition related to the newly added strategy condition to the variable table and storing the newly added strategy condition;
and allocating proportion cases to the catalytic recovery system based on the stored variable table and based on the risk level of the cases in the catalytic recovery system and the weight level of the catalytic recovery system.
In one possible way of realisation,
and in the process of checking the variable name of the newly added strategy variable and judging whether the variable name exists in the variable table, the method further comprises the following steps:
based on a dynamic database mode definition language, checking the variable name to obtain a checking result;
meanwhile, acquiring the name length and name characters of the variable name;
performing similarity matching on the variable names based on a configuration database corresponding to the variable table;
determining whether the check result is consistent with the similarity matching result, and if so, judging that the variable name exists;
otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end to display information.
In one possible way of realisation,
after adding the new strategy conditions related to the new strategy conditions to the variable table and storing the new strategy conditions, the method further comprises the following steps:
and carrying out variable processing on the strategy conditions in the stored variable table through a timing task, wherein the variable processing comprises the following steps:
acquiring the strategy attribute of each strategy condition in the stored variable table, and extracting the strategy condition needing variable processing according to the strategy attribute;
storing strategy conditions needing variable processing in a fixed variable processing table;
acquiring a trigger processing condition of the strategy condition in the fixed variable processing table, performing variable processing on the corresponding strategy condition according to the trigger processing condition, and updating the variable table;
and generating an object instance through a reflection mechanism based on the updated variable table, and returning the object instance to the front end for showing.
In one possible way of realisation,
based on the risk level of the case in the collection system and the weight level of the collector in the collection system, before assigning the proportion case to the collector, the method comprises the following steps:
crawling a working log of the collector from the collection urging system;
analyzing the working log based on a log analysis model to obtain a first weight value of the acquirer;
analyzing the case based on a case analysis model to obtain a first risk value of the case;
acquiring processing information of the case in a working log of the receiver, correcting the first weight value based on the processing information to obtain a second weight value, and determining a corresponding weight grade according to the second weight value;
acquiring and processing the collection information of a collector of the case, correcting the first risk value based on the collection information to obtain a second risk value, and determining a corresponding risk level according to the second risk value.
In one possible way of realisation,
based on the risk level of the case in the collection system and the weight level of the collector in the collection system, the process of assigning the proportion case to the collector comprises the following steps:
acquiring a current distribution batch corresponding to the case, determining case completion time of each first case in the current distribution batch, and acquiring first preset completion time;
when the first preset completion time is reached, judging that each second case in the next distribution batch is sequentially matched with the first case in the current distribution batch one by one;
judging whether a third case identical to the first case in the current distribution batch exists in the next distribution batch according to the matching processing result, if so, extracting the third case, and distributing case completion time identical to the corresponding first case to the third case;
meanwhile, determining case completion time of the remaining cases in the next distribution batch;
obtaining second preset completion time of the next distribution batch based on the distributed case completion time which is the same as the corresponding first case and the case completion times of the remaining cases;
and transmitting the second preset completion time to the front end for display.
In one possible way of realisation,
after determining the risk level of the case, the method further comprises the following steps:
sorting the cases according to the risk levels to obtain a sorting result;
and the sorting result corresponding to the case is related to the high, medium and low of the label preset for the case and/or the overdue account age of the case.
In one possible way of realisation,
in the process of assigning the proportion case to the collector, the method further comprises the following steps:
acquiring case information of the case, wherein the case information comprises: case quantity and case documentation;
in the process of allocating the proportional case, acquiring service load information and variable configuration information of an allocation service corresponding to the case information, and acquiring first energy consumption information of the allocation service between corresponding preset programs;
meanwhile, second energy consumption information of the assignment service at each operating point corresponding to a preset software layer and a hardware layer is obtained;
calculating total energy consumption information of the distribution proportion case according to the first energy consumption information and the second energy consumption information;
calling a region to be adjusted according to the total energy consumption information, the first energy consumption information and the second energy consumption information;
meanwhile, acquiring a scheme to be adjusted related to the area to be adjusted from an adjustment database, and adjusting the process of assigning the proportion case based on the scheme to be adjusted;
and executing the new dispatching task according to the adjusted dispatching process.
In one embodiment, whether the check result is consistent with the similarity matching result is determined, and if so, the variable name is determined to exist; otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end for information display, wherein the algorithm comprises the following steps:
calculating variable name X by formula (1)aAnd the name X of the first preset variable in the dynamic databasebSemantic similarity S (X)a，Xb)：
Figure BDA0002583439940000051
Wherein, waiAs semantic concepts aiUnder variable name XaThe number of times present in (a); w is abjAs semantic concepts bjAt a first preset variable name XbThe number of times present in (a); a isiFor in variable name XaThe ith semantic concept of (1); bjFor setting the first preset variable name XbThe jth semantic concept of (1); n is variable name XaThe total number of semantic concepts in (1); m is a first preset variable name XbThe total number of semantic concepts in (1);
obtaining a verification result according to the preset semantic similarity and the calculated semantic similarity;
calculating the format similarity P of the variable name and a second preset variable name of the configuration database through a formula (2):
Figure BDA0002583439940000052
wherein, XcIs the c-th feature component of the variable name; y iscC, configuring a c characteristic component of a preset variable name in a database; k is the variable name or the number of the characteristic components of the preset variable name in the configuration database;
and obtaining a similarity matching result according to the preset format similarity and the calculated format similarity.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a policy configuration and policy assignment method of a collection system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a strategy configuration and strategy case assignment method of a collection system, as shown in figure 1, comprising the following steps:
step 1: acquiring a newly added strategy variable, performing variable name verification on the newly added strategy variable, and judging whether the variable name exists in a variable table or not;
step 2: if so, storing the variable table; otherwise, adding a newly added strategy condition related to the newly added strategy condition to the variable table and storing the newly added strategy condition;
and step 3: and allocating proportion cases to the catalytic recovery system based on the stored variable table and based on the risk level of the cases in the catalytic recovery system and the weight level of the catalytic recovery system.
In this embodiment, the policy variables are case-related and the variable names are also case-related.
The case risk level and the weight level can be obtained through human evaluation or can be intelligently obtained based on an urging system.
In this embodiment, the allocation of the proportional cases, for example, 10 cases are allocated to the collector a, 20 cases are allocated to the collector B, the allocated case area is the allocated proportional case, and the ratio is 1: 2.
in this embodiment, the policy: a policy may also be called a rule, and is composed of conditions;
variable table: a database table for storing the strategy conditions can also be a strategy condition table;
sending a case: the process of assigning cases to a proctor.
In this embodiment, the collection urging system generally urges the arrears to pay back the arrears of the bank in a telephone communication manner or the like, and finally returns the commission through the bank.
The beneficial effects of the above technical scheme are: the dynamic configuration strategy conditions improve the development efficiency, reduce the cost, realize the case assignment by setting the risk level and the weight level, and facilitate the improvement of the rationality of intelligent case assignment.
The invention provides a strategy configuration and strategy assignment method for a collection system, which is used for carrying out variable name verification on a newly added strategy variable and judging whether the variable name exists in a variable table, and also comprises the following steps:
based on a dynamic database mode definition language, checking the variable name to obtain a checking result;
meanwhile, acquiring the name length and name characters of the variable name;
performing similarity matching on the variable names based on a configuration database corresponding to the variable table;
determining whether the check result is consistent with the similarity matching result, and if so, judging that the variable name exists;
otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end to display information.
In this embodiment, the variable table is preset, and the variable table includes the variable name and the corresponding policy, and in the variable table, the storage space can be saved by supplementing the new variable name and the new policy, and modifying one of the variable names and modifying the corresponding policy.
In this embodiment, the similarity matching result is realized based on an edit distance algorithm, for example.
The beneficial effects of the above technical scheme are: firstly, the variable names are checked, secondly, the variable names are subjected to similarity matching, and the variable names and the similarity matching are combined, so that whether the variable names exist or not can be effectively determined, the detection effectiveness is improved, and a basis is provided for subsequently realizing case assignment.
The invention provides a strategy configuration and strategy case assignment method of a hastening and collecting system, which adds a newly added strategy condition related to the newly added strategy condition to a variable table and stores the newly added strategy condition, and further comprises the following steps:
and carrying out variable processing on the strategy conditions in the stored variable table through a timing task, wherein the variable processing comprises the following steps:
acquiring the strategy attribute of each strategy condition in the stored variable table, and extracting the strategy condition needing variable processing according to the strategy attribute;
storing strategy conditions needing variable processing in a fixed variable processing table;
acquiring a trigger processing condition of the strategy condition in the fixed variable processing table, performing variable processing on the corresponding strategy condition according to the trigger processing condition, and updating the variable table;
and generating an object instance through a reflection mechanism based on the updated variable table, and returning the object instance to the front end for showing.
In this embodiment, the policy attribute is obtained to determine whether the corresponding policy condition requires variable processing, which facilitates targeted processing;
in the embodiment, the trigger processing conditions of the strategy conditions are obtained, effective processing is facilitated through triggering, and the object instance is generated through a reflection mechanism, so that a basis is provided for subsequent case dispatching.
The beneficial effects of the above technical scheme are: and processing the strategy conditions needing variable processing through the strategy attributes, and improving the configuration efficiency and the case dispatching efficiency by updating the variable table.
The invention provides a strategy configuration and strategy case dispatching method of a collection system, which comprises the following steps that before dispatching proportion cases to collection staff based on the risk level of cases in the collection system and the weight level of the collection staff in the collection system, the method comprises the following steps:
crawling a working log of the collector from the collection urging system;
analyzing the working log based on a log analysis model to obtain a first weight value of the acquirer;
analyzing the case based on a case analysis model to obtain a first risk value of the case;
acquiring processing information of the case in a working log of the receiver, correcting the first weight value based on the processing information to obtain a second weight value, and determining a corresponding weight grade according to the second weight value;
acquiring and processing the collection information of a collector of the case, correcting the first risk value based on the collection information to obtain a second risk value, and determining a corresponding risk level according to the second risk value.
In this embodiment, the collection system is pre-established, and can record various work flows, such as information of variable changes, which is a work log.
In this embodiment, the work log is analyzed, that is, the work condition of the acquirer in the work log is analyzed.
In this embodiment, the obtained first risk value is whether the case has a risk, such as a risk of a debtor paying the case in arrears of a bank.
In this embodiment, the weight level is generally related to the self service capability of the acquirer, and the stronger the service capability, the higher the corresponding weight level.
The beneficial effects of the above technical scheme are: by acquiring case processing information from the working log and acquiring the collection prompting information of a collector and acquiring the collection prompting information bidirectionally, the corresponding first risk value and second weight value are corrected conveniently, the accuracy of the acquired risk level and weight level is improved, and a data basis is provided for case dispatching.
The invention provides a strategy configuration and strategy case dispatching method of a collection system, which comprises the following steps of, based on the risk level of a case in the collection system and the weight level of a collector in the collection system, dispatching a proportion case to the collector:
acquiring a current distribution batch corresponding to the case, determining case completion time of each first case in the current distribution batch, and acquiring first preset completion time;
when the first preset completion time is reached, judging that each second case in the next distribution batch is sequentially matched with the first case in the current distribution batch one by one;
judging whether a third case identical to the first case in the current distribution batch exists in the next distribution batch according to the matching processing result, if so, extracting the third case, and distributing case completion time identical to the corresponding first case to the third case;
meanwhile, determining case completion time of the remaining cases in the next distribution batch;
obtaining second preset completion time of the next distribution batch based on the distributed case completion time which is the same as the corresponding first case and the case completion times of the remaining cases;
and transmitting the second preset completion time to the front end for display.
In this embodiment, the first preset completion time is obtained based on each case in the current allocation batch, and the second preset completion time is obtained based on each case in the next allocation batch;
and the third case representation is the same as the partial first case in the current allocation lot.
The beneficial effects of the above technical scheme are: the limiting time of different distribution batches is different, so that after the completion time of the current distribution batch is obtained, the completion time of different cases of the next distribution batch is conveniently prevented from being continuously calculated again by judging the same condition of the cases of the next distribution batch, the calculation efficiency is further improved, and the case dispatching efficiency is improved.
The invention provides a strategy configuration and strategy case dispatching method of a hastening system, which comprises the following steps after determining the risk level of a case:
sorting the cases according to the risk levels to obtain a sorting result;
and the sorting result corresponding to the case is related to the high, medium and low of the label preset for the case and/or the overdue account age of the case.
For the embodiment, the method specifically includes:
if the data are sorted according to the risk level, the data are circularly distributed according to the weight, and the proportion of the weight to the case is calculated every time; and taking account of the factors of the case storage to realize that the case is still equally divided or the weight proportion of the strategy configuration is always kept in a period of time.
The algorithm is described as follows: there are ABC three collectors, and the dispatch proportion (weight) is: 7: 3: 2, the storage records are respectively 20, 30 and 10
The proportion of the calculated weight to the stored cases is as follows: 0.350.10.2, wherein the greater the ratio of weight to inventory cases, the more cases are needed.
And sorting the cases according to risk grades, wherein the risk grades can be label high, medium and low, or overdue account age, circularly dispatching the sorted cases, and recalculating the weight and the proportion of the owned cases when one case is dispatched. As shown in the following table, the following,
A B C A B C
proportion of the group 7 3 2
Stock of 20 30 10 0.35 0.10 0.20
New case 1 A 20 30 11 0.35 0.10 0.18
New case 2 A 20 30 12 0.35 0.10 0.17
New case 3 A 20 30 13 0.35 0.10 0.15
New case 4 A 20 30 14 0.35 0.10 0.14
New case 5 A 20 30 15 0.35 0.10 0.13
New case 6 B 21 30 15 0.33 0.10 0.13
New case 7 B 22 30 15 0.32 0.10 0.13
New case 8 B 23 30 15 0.30 0.10 0.13
New case 9 B 24 30 15 0.29 0.10 0.13
New case 10 B 25 30 15 0.28 0.10 0.13
New case 11 C 26 30 15 0.27 0.10 0.13
New case 12 C 27 30 15 0.26 0.10 0.13
New case 13 C 28 30 15 0.25 0.10 0.13
New case 14 C 29 30 15 0.24 0.10 0.13
The beneficial effects of the above technical scheme are: by sequencing the risk levels of the cases, the case allocation efficiency is improved conveniently.
The invention provides a strategy configuration and strategy case dispatching method of a collection urging system, which comprises the following steps in the process of dispatching a proportion case to a collection urging person:
acquiring case information of the case, wherein the case information comprises: case quantity and case documentation;
in the process of allocating the proportional case, acquiring service load information and variable configuration information of an allocation service corresponding to the case information, and acquiring first energy consumption information of the allocation service between corresponding preset programs;
meanwhile, second energy consumption information of the assignment service at each operating point corresponding to a preset software layer and a hardware layer is obtained;
calculating total energy consumption information of the distribution proportion case according to the first energy consumption information and the second energy consumption information;
calling a region to be adjusted according to the total energy consumption information, the first energy consumption information and the second energy consumption information;
meanwhile, acquiring a scheme to be adjusted related to the area to be adjusted from an adjustment database, and adjusting the process of assigning the proportion case based on the scheme to be adjusted;
and executing the new dispatching task according to the adjusted dispatching process.
In this embodiment, the assignment task is related to the case of performing the assignment proportion;
in this embodiment, the corresponding area to be adjusted may be service load information and variable configuration information of the assigned service, and a certain area of the assigned service in each operating point and the like in the corresponding preset software layer and the corresponding hardware layer, such as a certain program block in the program, which may be regarded as an operating point and the like.
In this embodiment, the first energy consumption information, the second energy consumption information, and the total energy consumption information may be related to power consumption, time consumption, and the like during the operation.
The beneficial effects of the above technical scheme are: by acquiring the energy consumption information of the case allocation service, the energy consumption of the corresponding area is convenient to adjust, the energy consumption is reduced, and the case allocation efficiency is improved.
In one embodiment, whether the check result is consistent with the similarity matching result is determined, and if so, the variable name is determined to exist; otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end for information display, wherein the algorithm comprises the following steps:
calculating variable name X by formula (1)aAnd the name X of the first preset variable in the dynamic databasebSemantic similarity S (X)a，Xb)：
Figure BDA0002583439940000121
Wherein the content of the first and second substances,
Figure BDA0002583439940000122
as semantic concepts aiUnder variable name XaThe number of times present in (a);
Figure BDA0002583439940000123
as semantic concepts bjAt a first preset variable name XbThe number of times present in (a); a isiFor in variable name XaThe ith semantic concept of (1); bjFor setting the first preset variable name XbThe jth semantic concept of (1); n is variable name XaThe total number of semantic concepts in (1); m is a first preset variable name XbThe total number of semantic concepts in (1);
obtaining a verification result according to the preset semantic similarity and the calculated semantic similarity;
calculating the format similarity P of the variable name and a second preset variable name of the configuration database through a formula (2):
Figure BDA0002583439940000124
wherein, XcIs the c-th feature component of the variable name; y iscC, configuring a c characteristic component of a preset variable name in a database; k is the variable name or the number of the characteristic components of the preset variable name in the configuration database;
and obtaining a similarity matching result according to the preset format similarity and the calculated format similarity.
The working principle and the beneficial effects of the technical scheme are as follows: processing the variable name based on the dynamic database mode definition language to obtain semantic information of the variable name, calculating semantic similarity between the variable name and a first preset variable name in the dynamic database, and comparing the semantic similarity according to the preset semantic similarity and the calculated semantic similarity, wherein in the example, when the calculated semantic similarity is greater than the preset semantic similarity, the obtained check result is that the variable name exists; secondly, calculating the format similarity of the variable name and a second preset variable name of the configuration database, and comparing the format similarity according to the preset format similarity and the calculated format similarity, wherein in the example, when the calculated format similarity is greater than the preset format similarity, the obtained similarity matching result is that the variable name exists; and when the checking result is consistent with the similarity matching result, finally concluding that the variable name exists. In one embodiment, the first predefined variable name and the second predefined variable name are the same. K is 2, and the feature component of the variable name comprises the name length of the variable name and the name character of the variable name. Therefore, the accuracy of judging whether the variable name exists can be improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A strategy configuration and strategy case assignment method for a collection system is characterized by comprising the following steps:
acquiring a newly added strategy variable, performing variable name verification on the newly added strategy variable, and judging whether the variable name exists in a variable table or not;
if so, storing the variable table; otherwise, adding a newly added strategy condition related to the newly added strategy condition to the variable table and storing the newly added strategy condition;
and allocating proportion cases to the catalytic recovery system based on the stored variable table and based on the risk level of the cases in the catalytic recovery system and the weight level of the catalytic recovery system.
2. The method of claim 1, wherein in the process of performing variable name check on the newly added policy variable and determining whether the variable name exists in a variable table, the method further comprises:
based on a dynamic database mode definition language, checking the variable name to obtain a checking result;
meanwhile, acquiring the name length and name characters of the variable name;
performing similarity matching on the variable names based on a configuration database corresponding to the variable table;
determining whether the check result is consistent with the similarity matching result, and if so, judging that the variable name exists;
otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end to display information.
3. The method of claim 1, wherein adding a new addition policy condition associated with the new addition policy condition to the variable table and storing, further comprises:
and carrying out variable processing on the strategy conditions in the stored variable table through a timing task, wherein the variable processing comprises the following steps:
acquiring the strategy attribute of each strategy condition in the stored variable table, and extracting the strategy condition needing variable processing according to the strategy attribute;
storing strategy conditions needing variable processing in a fixed variable processing table;
acquiring a trigger processing condition of the strategy condition in the fixed variable processing table, performing variable processing on the corresponding strategy condition according to the trigger processing condition, and updating the variable table;
and generating an object instance through a reflection mechanism based on the updated variable table, and returning the object instance to the front end for showing.
4. The method of claim 1, wherein prior to assigning a proportion case to a promoter in the promotion system based on the risk level of the case and the weight level of the promoter, comprises:
crawling a working log of the collector from the collection urging system;
analyzing the working log based on a log analysis model to obtain a first weight value of the acquirer;
analyzing the case based on a case analysis model to obtain a first risk value of the case;
acquiring processing information of the case in a working log of the receiver, correcting the first weight value based on the processing information to obtain a second weight value, and determining a corresponding weight grade according to the second weight value;
acquiring and processing the collection information of a collector of the case, correcting the first risk value based on the collection information to obtain a second risk value, and determining a corresponding risk level according to the second risk value.
5. The method of claim 1, wherein the process of assigning proportion cases to the collector based on the risk level of the case in the collection system and the weight level of the collector in the collection system comprises:
acquiring a current distribution batch corresponding to the case, determining case completion time of each first case in the current distribution batch, and acquiring first preset completion time;
when the first preset completion time is reached, judging that each second case in the next distribution batch is sequentially matched with the first case in the current distribution batch one by one;
judging whether a third case identical to the first case in the current distribution batch exists in the next distribution batch according to the matching processing result, if so, extracting the third case, and distributing case completion time identical to the corresponding first case to the third case;
meanwhile, determining case completion time of the remaining cases in the next distribution batch;
obtaining second preset completion time of the next distribution batch based on the distributed case completion time which is the same as the corresponding first case and the case completion times of the remaining cases;
and transmitting the second preset completion time to the front end for display.
6. The method of claim 4, after determining the risk rating of the case, further comprising:
sorting the cases according to the risk levels to obtain a sorting result;
and the sorting result corresponding to the case is related to the high, medium and low of the label preset for the case and/or the overdue account age of the case.
7. The method of claim 1, wherein assigning a proportion case to the incentives further comprises:
acquiring case information of the case, wherein the case information comprises: case quantity and case documentation;
in the process of allocating the proportional case, acquiring service load information and variable configuration information of an allocation service corresponding to the case information, and acquiring first energy consumption information of the allocation service between corresponding preset programs;
meanwhile, second energy consumption information of the assignment service at each operating point corresponding to a preset software layer and a hardware layer is obtained;
calculating total energy consumption information of the distribution proportion case according to the first energy consumption information and the second energy consumption information;
calling a region to be adjusted according to the total energy consumption information, the first energy consumption information and the second energy consumption information;
meanwhile, acquiring a scheme to be adjusted related to the area to be adjusted from an adjustment database, and adjusting the process of assigning the proportion case based on the scheme to be adjusted;
and executing the new dispatching task according to the adjusted dispatching process.
8. The method of claim 2, wherein it is determined whether the check result is consistent with the similarity matching result, and if so, it is determined that the variable name exists; otherwise, judging that the variable name does not exist, and sending a name-nonexistence instruction to the front end for information display, wherein the algorithm comprises the following steps:
calculating variable name X by formula (1)aAnd the name X of the first preset variable in the dynamic databasebSemantic similarity S (X)a，Xb)：
Figure FDA0002583439930000041
Wherein the content of the first and second substances,
Figure FDA0002583439930000042
as semantic concepts aiUnder variable name XaThe number of times present in (a);
Figure FDA0002583439930000043
as semantic concepts bjAt a first preset variable name XbThe number of times present in (a); a isiFor in variable name XaThe ith semantic concept of (1); bjFor setting the first preset variable name XbThe jth semantic concept of (1); n is variable nameXaThe total number of semantic concepts in (1); m is a first preset variable name XbThe total number of semantic concepts in (1);
obtaining a verification result according to the preset semantic similarity and the calculated semantic similarity;
calculating the format similarity P of the variable name and a second preset variable name of the configuration database through a formula (2):
Figure FDA0002583439930000044
wherein, XcIs the c-th feature component of the variable name; y iscC, configuring a c characteristic component of a preset variable name in a database; k is the variable name or the number of the characteristic components of the preset variable name in the configuration database;
and obtaining a similarity matching result according to the preset format similarity and the calculated format similarity.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113327054A (en) * 2021-06-22 2021-08-31 工银科技有限公司 Service management system change risk assessment method, device, equipment and medium
CN113724066A (en) * 2021-08-31 2021-11-30 平安普惠企业管理有限公司 Rights and interests allocation method, device and equipment based on semantic analysis and storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160232605A1 (en) * 2015-02-08 2016-08-11 Zhengping Zhang System and Method for Debt Collection
CN109255536A (en) * 2018-09-07 2019-01-22 深圳前海微众银行股份有限公司 Credits collection method, apparatus, system and storage medium
CN109359797A (en) * 2018-08-21 2019-02-19 平安科技（深圳）有限公司 Electronic device, loan collection case division method and storage medium
CN109544316A (en) * 2018-10-11 2019-03-29 众安在线财产保险股份有限公司 A kind of collection method and system of division real-time in proportion
CN109559220A (en) * 2018-11-16 2019-04-02 深圳前海微众银行股份有限公司 Collection management method, equipment and computer readable storage medium
CN109767070A (en) * 2018-12-14 2019-05-17 深圳壹账通智能科技有限公司 Case distribution method, device, computer equipment and storage medium
CN110533518A (en) * 2018-05-23 2019-12-03 深圳福莱信息科技有限公司 A kind of method of collection case management after loan
CN110728429A (en) * 2019-09-18 2020-01-24 平安科技（深圳）有限公司 Case allocation method, case allocation device, case allocation medium and computer equipment
CN110796341A (en) * 2019-09-30 2020-02-14 北京淇瑀信息科技有限公司 Distributed batch processing method and device for collection cases and electronic equipment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160232605A1 (en) * 2015-02-08 2016-08-11 Zhengping Zhang System and Method for Debt Collection
CN110533518A (en) * 2018-05-23 2019-12-03 深圳福莱信息科技有限公司 A kind of method of collection case management after loan
CN109359797A (en) * 2018-08-21 2019-02-19 平安科技（深圳）有限公司 Electronic device, loan collection case division method and storage medium
CN109255536A (en) * 2018-09-07 2019-01-22 深圳前海微众银行股份有限公司 Credits collection method, apparatus, system and storage medium
CN109544316A (en) * 2018-10-11 2019-03-29 众安在线财产保险股份有限公司 A kind of collection method and system of division real-time in proportion
CN109559220A (en) * 2018-11-16 2019-04-02 深圳前海微众银行股份有限公司 Collection management method, equipment and computer readable storage medium
CN109767070A (en) * 2018-12-14 2019-05-17 深圳壹账通智能科技有限公司 Case distribution method, device, computer equipment and storage medium
CN110728429A (en) * 2019-09-18 2020-01-24 平安科技（深圳）有限公司 Case allocation method, case allocation device, case allocation medium and computer equipment
CN110796341A (en) * 2019-09-30 2020-02-14 北京淇瑀信息科技有限公司 Distributed batch processing method and device for collection cases and electronic equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LAVAZZA, L: "A Method to Optimize Technical Debt Management in Timed-boxed Processes", 《THIRTEENTH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING ADVANCES (ICSEA 2018)》 *
昌颜利: "SWS公司应收账款管理研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113327054A (en) * 2021-06-22 2021-08-31 工银科技有限公司 Service management system change risk assessment method, device, equipment and medium
CN113724066A (en) * 2021-08-31 2021-11-30 平安普惠企业管理有限公司 Rights and interests allocation method, device and equipment based on semantic analysis and storage medium

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