CN112633777A - Method for constructing and using judicial-assisted case diversified distribution model - Google Patents
Method for constructing and using judicial-assisted case diversified distribution model Download PDFInfo
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Abstract
The invention discloses a construction and use method of a judicial-assisted case diversified distribution model, belonging to the technical field of construction and use of the judicial-assisted case diversified distribution model; the technical problem to be solved is as follows: the improvement of a construction and use method of a judicial-assisted case diversified distribution model is provided; the technical scheme for solving the technical problem is as follows: and (3) installing a judicial auxiliary case distribution system at a server side, and recording and accumulating: case data information and working rules are assisted by judicial practices; referring to judicial auxiliary work rules, controlling upper-level users in a system architecture to distribute case information to lower-level users, and presetting a feedback function when the lower-level users receive and complete case tasks; calculating to obtain multi-dimensional intelligent case distribution weight system data through case distribution, case receiving and case completing conditions of users at each level, establishing an intelligent case distribution model according to an intelligent learning model, and finally performing case distribution by using the intelligent case distribution model; the invention is applied to judicial assisted case allocation.
Description
Technical Field
The invention discloses a construction and use method of a judicial-assisted case diversified distribution model, and belongs to the technical field of construction and use of the judicial-assisted case diversified distribution model.
Background
In case distribution work, a large amount of case information is generated mainly by means of manual distribution, case distribution personnel repeat a large amount of meaningless work every day, time and labor are wasted, and a high error rate exists due to frequent manual operation; because the current judicial system faces the problem of few cases, the number of the working personnel for full-time case allocation is insufficient, so that the corresponding judicial auxiliary working efficiency is not high, and a set of standardized case allocation working system needs to be established to solve the problems so as to carry out informatization system construction on the corresponding case management mechanism.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to solve the technical problems that: the improvement of a construction and use method of a judicial-assisted case diversified distribution model is provided.
In order to solve the technical problems, the invention adopts the technical scheme that: a construction and use method of a judicial-assisted case diversified distribution model comprises the following construction steps:
the method comprises the following steps: and (3) installing a judicial auxiliary case distribution system at a server side, and recording and accumulating: case data information and working rules are assisted by judicial practices;
step two: referring to judicial auxiliary work rules, controlling upper-level users in a system architecture to distribute case information to lower-level users, and presetting a feedback function when the lower-level users receive and complete case tasks;
step three: calculating to obtain multidimensional intelligent case division weight system data through case allocation, case receiving and case completing conditions of each level of users, wherein the multidimensional intelligent case division weight system data comprises: the case receiving user case completion number, case distribution user case number, and case distribution and completion work weight value;
step four: applying the multidimensional intelligent case division weight system data to establish an intelligent learning model, and establishing an intelligent case division model according to the intelligent learning model;
step five: and carrying out case allocation by using an intelligent case allocation model.
The concrete steps of establishing the intelligent learning model and the intelligent case distribution model in the fourth step are as follows:
step 4.1: counting the completion conditions of the user work of distributing and receiving cases by establishing a case data learning analysis model, and correspondingly distributing various user work attribute values to the cases by combining corresponding rules of case elements and work weight proportion;
step 4.2: converting the user work attribute values into case probability data through an artificial intelligence machine learning algorithm, and distributing the case to be distributed to the relevant case receiving user;
step 4.3: establishing an intelligent learning model according to corresponding rules such as case elements, work weight proportion and the like;
and establishing an intelligent case distribution model according to the intelligent learning model and the actual case distribution coefficient.
The intelligent learning model established in the step 4.3 mainly comprises a weight model corresponding to the relationship established between the occurrence time and the occurrence location of the case, the personnel involved in the case, the type of the case, the value content of the case and the field which is good at the case processing staff according to the factors of the case;
and the intelligent case distribution model established in the step 4.3 distributes the business weight in the actual work to specific related matched workers according to the weight value of the worker adept in the field obtained from the intelligent learning model.
The calculation method specifically used by the intelligent case partitioning model established in the step 4.3 comprises the following steps:
establishing an intelligent learning model according to the completion condition of the workload;
and matching the work weight condition according to the completion condition of the workload, and simultaneously establishing an intelligent learning model.
The concrete method for case allocation in the fifth step is as follows: and comparing the data of the multiple results output by the intelligent case distribution model, and preferentially selecting the user with the first adaptive condition to distribute cases.
Compared with the prior art, the invention has the beneficial effects that: the diversified case allocation mode provided by the invention is realized based on the established allocation model, the big data, cloud computing and artificial intelligence technology are applied to the auxiliary management of judicial cases in the model construction process, the established learning model and the established case allocation model are applied to the allocation of the judicial cases, and the full-process informatization auxiliary work is adopted, so that the labor cost and the working error rate can be reduced, and the overall working efficiency of judicial assistance is better improved.
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The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a flowchart of steps of a method for constructing and using a judicial-assisted case diversified assignment model according to the present invention.
Detailed Description
As shown in FIG. 1, the invention provides a case diversified distribution model construction and use method assisted by judicial, which mainly builds a diversified case intelligent learning model and a distribution model through the accumulation of case data information and working rules assisted by judicial, distributes case information to users at lower levels by users at upper levels in a framework according to the rules of the case aided by judicial, and sets a feedback function when the users at lower levels receive and complete case tasks; then, calculating a multidimensional intelligent case division weight system through case allocation, case receiving and case completing conditions of each level of users; the multidimensional intelligent case division weight system comprises: the case receives the case completion number of the user, the case number of the case distribution user and the working weight value of the case distribution and completion situation.
Counting the completion conditions of the user work of distributing and receiving cases by establishing a case data learning analysis model, and correspondingly distributing various user work attribute values to the cases by combining corresponding rules such as case elements, work weight proportion and the like; and converting the user working attribute values into case probability by an artificial intelligence machine learning algorithm, and distributing the case to be distributed to the related case receiving user.
And establishing an intelligent learning model according to corresponding rules such as case elements, working weight proportion and the like, and establishing an intelligent case distribution model according to the intelligent learning model and the actual case distribution coefficient.
The learning model is mainly used for establishing a corresponding weight model of the relation aiming at the occurrence time, the occurrence place, the involved personnel, the case type, the case value and other contents of the case and the field which is good for case processing workers.
The intelligent case distribution model distributes specific and relevant matched working personnel according to the weight value of each working personnel in the field of excellence in the learning model and the business weight in the actual work.
The specific intelligent case-sharing model calculation method rule mainly comprises the following steps:
(1) establishing an intelligent learning model according to the completion condition of the workload;
(2) and matching the work weight condition according to the completion condition of the workload to establish an intelligent learning model.
And comparing the final output results of the intelligent case distribution model, and preferentially selecting the user with the first adaptive condition to distribute cases, thereby finishing the aims of constructing and using the whole model.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. A method for constructing and using a judicial-assisted case diversified distribution model is characterized by comprising the following steps: the method comprises the following construction steps:
the method comprises the following steps: and (3) installing a judicial auxiliary case distribution system at a server side, and recording and accumulating: case data information and working rules are assisted by judicial practices;
step two: referring to judicial auxiliary work rules, controlling upper-level users in a system architecture to distribute case information to lower-level users, and presetting a feedback function when the lower-level users receive and complete case tasks;
step three: calculating to obtain multidimensional intelligent case division weight system data through case allocation, case receiving and case completing conditions of each level of users, wherein the multidimensional intelligent case division weight system data comprises: the case receiving user case completion number, case distribution user case number, and case distribution and completion work weight value;
step four: applying the multidimensional intelligent case division weight system data to establish an intelligent learning model, and establishing an intelligent case division model according to the intelligent learning model;
step five: and carrying out case allocation by using an intelligent case allocation model.
2. The construction and use method of the judicial-assisted case diversified distribution model according to claim 1, wherein the method comprises the following steps: the concrete steps of establishing the intelligent learning model and the intelligent case distribution model in the fourth step are as follows:
step 4.1: counting the completion conditions of the user work of distributing and receiving cases by establishing a case data learning analysis model, and correspondingly distributing various user work attribute values to the cases by combining corresponding rules of case elements and work weight proportion;
step 4.2: converting the user work attribute values into case probability data through an artificial intelligence machine learning algorithm, and distributing the case to be distributed to the relevant case receiving user;
step 4.3: establishing an intelligent learning model according to corresponding rules such as case elements, work weight proportion and the like;
and establishing an intelligent case distribution model according to the intelligent learning model and the actual case distribution coefficient.
3. The construction and use method of the judicial-assisted case diversified distribution model according to claim 2, wherein the method comprises the following steps: the intelligent learning model established in the step 4.3 mainly comprises a weight model corresponding to the relationship established between the occurrence time and the occurrence location of the case, the personnel involved in the case, the type of the case, the value content of the case and the field which is good at the case processing staff according to the factors of the case;
and the intelligent case distribution model established in the step 4.3 distributes the business weight in the actual work to specific related matched workers according to the weight value of the worker adept in the field obtained from the intelligent learning model.
4. The construction and use method of the judicial-assisted case diversified distribution model according to claim 3, wherein the method comprises the following steps: the calculation method specifically used by the intelligent case partitioning model established in the step 4.3 comprises the following steps:
establishing an intelligent learning model according to the completion condition of the workload;
and matching the work weight condition according to the completion condition of the workload, and simultaneously establishing an intelligent learning model.
5. The construction and use method of the judicial-assisted case diversified distribution model according to claim 4, wherein the method comprises the following steps: the concrete method for case allocation in the fifth step is as follows: and comparing the data of the multiple results output by the intelligent case distribution model, and preferentially selecting the user with the first adaptive condition to distribute cases.
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| CN202110130925.8A CN112633777A (en) | 2021-01-30 | 2021-01-30 | Method for constructing and using judicial-assisted case diversified distribution model |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109872052A (en) * | 2019-01-28 | 2019-06-11 | 广州大学 | A kind of law court's case intelligence division householder method and system |
| CN112053074A (en) * | 2020-09-11 | 2020-12-08 | 南京通达海科技股份有限公司 | Automatic case dividing system and method for court cases |
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- 2021-01-30 CN CN202110130925.8A patent/CN112633777A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109872052A (en) * | 2019-01-28 | 2019-06-11 | 广州大学 | A kind of law court's case intelligence division householder method and system |
| CN112053074A (en) * | 2020-09-11 | 2020-12-08 | 南京通达海科技股份有限公司 | Automatic case dividing system and method for court cases |
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