阅读说明：本技术 量刑辅助方法、装置、计算机设备及存储介质 (Sentencing assistance method, apparatus, computer device, and storage medium ) 是由 麦天骥 于 2021-09-02 设计创作，主要内容包括：本申请公开了一种量刑辅助方法、装置、计算机设备及存储介质。该方法通过获取目标案件的要素内容；根据目标案件带有地理标识的要素内容得到目标案件在地域标识下的量刑内容,量刑内容至少包括目标案件的基准刑和量刑情节调节幅度；量刑内容根据预设的量刑计算公式得到目标案件的宣告刑,并且在符合法定刑推荐范围内及量刑调节范围,推送具有实际意义的案例裁判推荐结果。可以看出,本方法通过根据目标案件带有地域标识的要素内容得到量刑内容能够得到具有地域特色的量刑内容,所输出的量刑结果可供法官进行参考,以辅助法官对目标案件进行判决,从而提高案件的审判效率和准确性。(The application discloses a sentencing assistance method, a sentencing assistance device, a computer device and a storage medium. The method comprises the steps of obtaining element contents of a target case; obtaining the criminal content of the target case under the region identification according to the element content of the target case with the geographic identification, wherein the criminal content at least comprises the reference criminal and the criminal plot regulating amplitude of the target case; the sentencing content obtains the declaration of the target case according to a preset sentencing calculation formula, and a case referee recommendation result with practical significance is pushed within a sentencing recommendation range and a sentencing adjustment range of a compliance law. Therefore, according to the case judging method, the criminal content is obtained according to the element content of the target case with the region identification, the criminal content with the region characteristic can be obtained, the output criminal result can be used for reference by a judge, the judge is assisted to judge the target case, and accordingly judging efficiency and accuracy of the case are improved.)

1. A sentencing assistance method, characterized in that it comprises:

acquiring element content of a target case, wherein the element content is obtained according to a fact behavior recorded by the target case and is provided with a region identifier of the target case;

obtaining the sentencing content of the target case under the region mark according to the element content of the target case with the geographic mark, wherein the sentencing content at least comprises a reference sentencing and a sentencing plot regulating amplitude of the target case;

and obtaining the declaration of the target case by the criminal content according to a preset criminal calculation formula.

2. The method according to claim 1, wherein the amplitude of the sentencing episode adjustment comprises a first-adjusted case L1 and a sum of other adjusted cases L2, wherein the first-adjusted case may comprise a plurality of cases formed by different values of the first-adjusted case, and the sum of other adjusted cases is formed by adding up a plurality of other adjusted cases, L2 ═ L2a ± L2b … … ± L2 n.

3. The method according to claim 2, wherein said sentencing content derives the declaration of said target case according to a preset sentencing calculation formula, said sentencing calculation formula comprising:

X＝J*(1±L1a)*(1±L1b)*……*(1±L1n)*(1±L2)

wherein, X represents declaration, J represents benchmark declaration, L1a, L1b, … …, L1n represents n cases with different first adjustment situation values, and L2 represents other adjustment situation summation.

4. The method according to claim 1, wherein after obtaining the declaration of the target case, the method further comprises:

acquiring the actual penalty of the declaration of the target case with the highest proportion in the same case;

inputting the actual criminal penalty into a preset backward verification model to obtain a criminal episode adjustment amplitude recommended value, a reference criminal recommended value and an initiating criminal recommended value;

and when the amplitude recommendation value, the reference criminal recommendation value and the starting criminal recommendation value of the sentencing plot all accord with a law criminal fixing range, pushing the declaration as an actual criminal penalty.

5. The method according to claim 4, wherein said inputting said actual criminal penalty into a preset push-down verification model results in a sentencing episode adjustment amplitude recommendation, a benchmark criminal recommendation and an onset criminal recommendation, comprising:

obtaining an adjusting ratio according to the actual criminal penalty and the reference criminal of the target case;

obtaining a recommendation value of the regulation amplitude of the sentencing plot according to the actual criminal penalty and the regulation proportion;

adjusting an amplitude recommendation value according to the sentencing plot; obtaining a reference criminal recommendation value;

and obtaining an initiating criminal recommendation value according to the adjusting proportion and the reference criminal recommendation value.

6. The method according to claim 1, wherein said target case's benchmark penalty is obtained by adding an amount of criminal starting points and an amount of increasing criminal penalties.

7. The method according to claim 1, wherein said reference penalty comprises a reference penalty point and a reference penalty interval, and said announcing penalty comprises an announcing penalty point and an announcing penalty interval.

8. A sentencing aid device, characterized in that said device comprises:

the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring element contents of a target case, the element contents are obtained according to the fact behaviors recorded by the target case, and the element contents are provided with a region identifier of the target case;

the processing module is used for obtaining the sentencing content of the target case under the region identifier according to the element content of the target case with the geographic identifier, wherein the sentencing content at least comprises a reference sentencing and a sentencing plot regulating amplitude of the target case;

and the computing module is used for obtaining the declaration of the target case by the criminal content according to a preset criminal computing formula.

9. A computer device, characterized in that it comprises a memory and a processor, said memory storing a computer program which, when executed by said processor, implements the sentencing assistance method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the sentencing-based assistance method according to any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of computers, in particular to a sentencing assistance method and device, computer equipment and a storage medium.

Background

In recent years, with the rapid development of big data and artificial intelligence technologies, the use of machines to assist human beings has become a hot line of defense for various industries.

At present, in the case handling process, no clear standard exists for measuring the case handling result. For handling of various cases in the whole country, judicial personnel perform manual evaluation according to past work experience, but the processing mode has high labor cost and low efficiency, and is difficult to avoid the influence of human factors, so that the accuracy and the reliability of evaluation results are reduced.

Disclosure of Invention

Based on the above, the embodiments of the present application provide a sentencing assistance method, device, computer device and storage medium, which are used for carrying out automatic sentencing based on the acquired target case elements.

In a first aspect, there is provided a sentencing assistance method, the method comprising:

acquiring element content of a target case, wherein the element content is obtained according to a fact behavior recorded by the target case and is provided with a region identifier of the target case;

obtaining the sentencing content of the target case under the region mark according to the element content of the target case with the geographic mark, wherein the sentencing content at least comprises a reference sentencing and a sentencing plot regulating amplitude of the target case;

and obtaining the declaration of the target case by the criminal content according to a preset criminal calculation formula.

Optionally, the amplitude of the sentencing episode adjustment includes a first adjustment case L1 and a sum of other adjustment cases L2, where the first adjustment case may include a plurality of cases formed by different values of the first adjustment case, and the sum of other adjustment cases is formed by adding a plurality of other adjustment cases, and L2 is L2a ± L2b … … ± L2 n.

Optionally, the sentencing content obtains the declaration of the target case according to a preset sentencing calculation formula, where the sentencing calculation formula includes:

X＝J*(I±L1a)*(1±L1b)*……*(1±L1n)*(1±L2)

wherein, X represents declaration, J represents benchmark declaration, L1a, L1b, … …, L1n represents n cases with different first adjustment situation values, and L2 represents other adjustment situation summation.

Optionally, after obtaining the declaration of the target case, the method further comprises:

acquiring the actual penalty of the declaration of the target case with the highest proportion in the same case;

inputting the actual criminal penalty into a preset backward verification model to obtain a criminal episode adjustment amplitude recommended value, a reference criminal recommended value and an initiating criminal recommended value;

and when the amplitude recommendation value, the reference criminal recommendation value and the starting criminal recommendation value of the sentencing plot all accord with a law criminal fixing range, pushing the declaration as an actual criminal penalty.

Optionally, the inputting the actual criminal penalty into a preset backward-pushing verification model to obtain a criminal episode adjustment amplitude recommendation value, a reference criminal recommendation value and an initiating criminal recommendation value includes:

obtaining an adjusting ratio according to the actual criminal penalty and the reference criminal of the target case;

obtaining a recommendation value of the regulation amplitude of the sentencing plot according to the actual criminal penalty and the regulation proportion;

adjusting an amplitude recommendation value according to the sentencing plot; obtaining a reference criminal recommendation value;

and obtaining an initiating criminal recommendation value according to the adjusting proportion and the reference criminal recommendation value.

Optionally, the benchmark penalty of the target case is obtained by adding the criminal starting point and the penalty increasing amount.

Optionally, said reference penalty comprises a reference penalty point and a reference penalty interval, and said declaration penalty comprises a declaration penalty point and a declaration penalty interval.

In a second aspect, there is provided a sentencing assistance device, the device comprising:

the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring element contents of a target case, the element contents are obtained according to the fact behaviors recorded by the target case, and the element contents are provided with a region identifier of the target case;

the processing module is used for obtaining the sentencing content of the target case under the region identifier according to the element content of the target case with the geographic identifier, wherein the sentencing content at least comprises a reference sentencing and a sentencing plot regulating amplitude of the target case;

and the computing module is used for obtaining the declaration of the target case by the criminal content according to a preset criminal computing formula.

In a third aspect, there is provided a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the sentencing assistance method of any one of the first aspect when executing the computer program.

In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the sentencing assistance method of any one of the first aspects described above.

According to the technical scheme provided by the embodiment of the application, the element content of the target case is obtained, wherein the element content is obtained according to the fact behavior recorded by the target case, and the element content is provided with the region identification of the target case; obtaining the criminal content of the target case under the region identification according to the element content of the target case with the geographic identification, wherein the criminal content at least comprises the reference criminal and the criminal plot regulating amplitude of the target case; the sentencing content obtains the declaration of the target case according to a preset sentencing calculation formula, and a case referee recommendation result with practical significance is pushed within a sentencing recommendation range and a sentencing adjustment range of a compliance law. Therefore, according to the case judging method, the criminal content is obtained according to the element content of the target case with the region identification, the criminal content with the region characteristic can be obtained, the output criminal result can be used for reference by a judge, the judge is assisted to judge the target case, and accordingly judging efficiency and accuracy of the case are improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.

The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.

Fig. 1 is a flow chart illustrating steps of a sentencing assistance method according to an embodiment of the present application;

FIG. 2 is a flow chart illustrating the steps of a sentencing assistance method according to an embodiment of the present application;

fig. 3 is a block diagram of a crime measuring assisting device provided by an embodiment of the present application;

fig. 4 is a schematic diagram of a computer device according to an embodiment of the present application.

Detailed Description

The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

For the understanding of the present embodiment, a detailed description will be given first of all of a sentencing assistance method disclosed in the embodiments of the present application.

Referring to fig. 1, a flow chart of a sentencing assistance method provided by an embodiment of the present application is shown, which may include the following steps:

step 101, obtaining element content of a target case.

The basic element content of the case can include five aspects of time, space, subject, object and behavior, and the element content is obtained according to the fact behavior recorded by the target case.

In the embodiment of the application, the fact behavior can be summarized and summarized through the input text to summarize the element content, and the fact behavior content is the specific judgment behavior of the case with clear identification in the legal sense, for example, the fact behavior content includes the blood alcohol content result, the case amount, and the like. The derived element is a specific name, for example, the element specific name may be displayed as drunk driving, etc. Meanwhile, the affiliated grade of the fact element behavior, such as large, huge and the like, can be calculated according to the configuration information.

In the embodiment of the present application, the related element content may be classified and quantified, for example, in the context of driving a motor vehicle on a road, the race-by-race quantification is 1, and the drunk driving quantification is 2.

And 102, obtaining the sentencing content of the target case under the region identification according to the element content of the target case with the geographic identification.

Wherein the criminal content comprises reference criminals of the target cases and the amplitude of regulation of the criminal episodes.

The calculated value of the reference criminal refers to quantification of the fact that the increase of the crime value has the alcohol concentration content in blood, causes traffic accidents and is responsible for all responsibility, overtime driving, driving without a license and the like for the traffic offense.

The regulation amplitude (regulation value) of the sentencing episode has a certain regulation amplitude in statutory or temporary situation.

In the embodiment of the present application, the spatial information in the element content of the target case is derived, that is, the region identifier of the target case, for example, when compared with beijing city, jiangsu province has some regulation penalties, there is a great difference between the amount of increase and decrease of the sentencing and the magnitude of regulation of the sentencing:

forming a deduction scheme according to the research on related laws with regional properties issued by each province, the municipality of the direct jurisdiction and the autonomous region;

where the crime starting point is for a specific illegal action, as distinguished from the crime starting point magnitude according to the basic constitution.

In the crime starting point Q (starting crime) calculation, the crime starting point is definitely identified using a region attribute element. And after the fact behaviors are analyzed, calculated and deduced, the corresponding penalty amount is increased to form a benchmark penalty.

The starting point of sentencing Q can be a point Qd or an interval (Q) according to different situations_s，Q_w) In both cases, the starting criminal content exists [ minimum ], [ maximum ], [ minimum penal class ], and [ maximum penal class ]. There are cases where the content of individual penalty penalties spans the category of penalty, since the maximum sentencing value for a commitment is less than 6 months, with penalty names greater than 6 months being futures.

Increasing the penalty amount Z, namely increasing the penalty amount to a point Z according to different situations_dOr is the interval (Z)_s，Z_w) Two cases.

In the present application, the corner mark d indicates the point at which the sentencing is a point, the corner mark s indicates the minimum value at which the sentencing is an interval, and the corner mark w indicates the maximum value at which the sentencing is an interval.

The reference penalty can then be calculated with the formula J-Q + Z. Both the crime starting point Q and the increasing penalty amount Z are likely to be in interval form. Then it can be divided into various forms of calculation methods: when Q and Z are both points, the calculation formula of the reference criminal measurement is J_d＝Q_d+Z_d(ii) a When Q is the point Z is the interval, the calculation formula is (J)_s，J_w)＝(Q_d+Z_s，Q_d+Z_w) (ii) a When Q is the interval Z is a point, the calculation formula is (J)_s，J_w)＝(Q_s+Z_d，Q_w+Z_d) (ii) a When Q and Z are both in the interval (J)_s，J_w)＝ (Q_s+Z_s，Q_w+Z_w)。

In the embodiment of the present application, the amplitude of regulation of the sentencing episode includes a first regulation situation and other regulation situations. The adjustment is based on the fact that the value characterized by the adjustment differs, for example, by decreasing or adding a penalty, in particular by, for example, 20% and by 30%.

Specifically, in the first adjustment case L1 and the sum of other adjustment cases L2, the first adjustment case may include a plurality of cases formed by different values of the first adjustment case, and the sum of other adjustment cases is formed by adding a plurality of other adjustment cases, L2 ═ L2a ± L2b … ± L2n, where n denotes the nth case in the present application, and L2n denotes the nth other adjustment case.

And 103, obtaining the declaration of the target case by the criminal content according to a preset criminal calculation formula.

Calculating and declaring the crime according to the reference crime and the crime episode adjustment amplitude of the target case obtained in the step 102 by using a crime calculation formula, wherein the crime calculation formula specifically comprises the following steps:

X＝J*(1±L1a)*(1±L1b)*……*(1±L1n)*(1±L2)

wherein, X represents declaration, J represents benchmark declaration, L1a, L1b, … …, L1n represents n cases with different first adjustment situation values, and L2 represents other adjustment situation summation.

Because the specific calculation formula is divided into the case that the reference criminal is a point and the case that the reference criminal is an interval, the following steps are performed:

when the reference penalty is a point, the adjustment condition L1 is increased firstly, and when the other adjustment condition L2 is decreased, the formula is as follows:

(X_s，X_w)＝((J_d*(1+L1_s)*(1-L2_w)，(J_d*(1+L1_w)*(1-L2_s)))

when the reference criminal is an interval, when the adjusting condition L1 is increased firstly and the other adjusting condition L2 is decreased, the formula is as follows:

(X_s，X_w)＝((J_s*(1+L1_s)*(1-L2_w)，(J_w*(1+L1_w)*(1-L2_s)))。

wherein, the calculation logic of the formula comprises:

1. calculating operation based on a reference criminal, wherein the reference criminal is calculated at a point, and when an interval exists, the reference criminal is calculated at the head of the interval;

2. when adding, the head and tail of the interval of the result correspond to the head and tail of the interval of the adjusting situation;

3. when subtracting, the head and the tail of the interval of the result correspond to the head and the tail of the interval of the plot situation;

4. if the episode is not adjusted, the term is not operated on.

When the declaration of the target case is obtained, brush format configuration can be loaded according to the standard mode with the domain priority property, which is introduced according to the industry standard, brush formats are respectively called according to corresponding format configuration in layers from page setting to table, row, cell, paragraph and text block, finally Word is saved to form a format document, and the obtained sentry content comes from case configuration information nodes, and each increase and decrease sentry amplitude is according to the evidence and can be relied on by law. The calculation flow and the calculation standard have definite boundary values and ranges.

In an alternative embodiment of the present application, the recommended referee result is an important criterion supported by big data, and the user defines the reference criminal, the starting criminal and the criminal will calculate a new result after adjusting the amplitude. The system recommends the scope to carry out the criminal judgment on the result value, and then further analyzes and judges the criminal quantity value to obtain an objective conclusion, namely, the method also comprises a method for deriving verification, as shown in fig. 2, and also comprises the following steps:

104, acquiring the actual penalty of the declaration of the target case with the highest proportion in the same case; inputting the actual criminal penalty into a preset backward verification model to obtain a criminal episode adjustment amplitude recommended value, a reference criminal recommended value and an initiating criminal recommended value; and when the equivalent criminal plot regulation amplitude recommendation value, the reference criminal recommendation value and the starting criminal recommendation value all accord with the law criminal fixing range, the declaration is used as an actual criminal penalty to be pushed.

The actual criminal penalty S is derived from an actual criminal method with the highest geographical occupation in the same case, and the actual criminal penalty S belonging to the declaration of criminal X must meet the precondition.

In inputting actual criminal penalty into the predetermined backward-pushing verification model to obtain the criminal episode adjustment amplitude recommendation value, the benchmark criminal recommendation value and the starting criminal recommendation value, the method specifically comprises the following steps:

step 1041, obtaining an adjusting ratio according to the actual criminal penalty and the reference criminal of the target case;

wherein, the prerequisite condition of adjusting the proportion is that the benchmark is criminal through all the first division Jn satisfy the condition of adjusting the criminal interval after the situation, wherein still need satisfy:

1. if there are multiple prior adjustment scenarios, each scenario can be derived by deriving an adjustment ratio;

2. the acquisition logic of the adjustment proportion of each first adjustment situation is the same, and the proportion of the content in the region can be obtained by calculating the criminal period (P) corresponding to the adjustment situation;

3. except for the fact that the most total Jn is calculated in the formula by "actual penalty S", other regulation scenarios are calculated in the formula by "penalty period P".

When the condition of first adjustment does not exist, the two modes are divided, wherein the reference criminal J is a point, and the reference criminal J is an interval.

When the reference penalty J is a point, (S ═ J)_d) The adjustment ratio T cannot be obtained, the next verification cannot be carried out through the adjustment ratio, and the value is directly set as a point value. (S.noteq.J)_d) When there is T ═ S-J_d)/J_d。

When the reference criminal J is an interval, the method is divided into three cases:

1.S∈(J_s，J_w) When, there is the formula T ═ S-J_s)/(J_w-J_s)；

2.S≥J_wWhen there is T ═ S-J_w)/J_w；

3.S≤J_sWhen, there is T ═ J_s-S)/J_s。

Step 1042, obtaining a recommendation value of regulation amplitude of the sentencing plot according to the actual criminal penalty and the regulation proportion;

the amplitude (L) of the regulation of the sentencing episode is divided into the sum of the other regulation cases L2 and the preceding regulation case L1.

Wherein, the recommended value of the adjusting case L1 is determined by the formula:

recommended value of L1n ═ L1_s+T(n-1)*(L1_w-L1_s)

There is obtained a case where, if there are a plurality of previous adjustment cases, each needs to be calculated by the adjustment ratio T (n-1) of the previous one. The penalty period P corresponding to the situation is adjusted, and the calculation formula is Pn ═ S/(1 + -L2 recommended value), and P (n-1) ═ Pn/(1 + -L1 n recommended value).

The other adjustment condition sums L2 need to be calculated by using the adjustment ratio (T) respectively.

When L2a is (L2 a)_s，L2a_w) L2a recommended value L2a_s+T*(L2a_w-L2a_s)

When there is a prior adjustment, the adjustment ratio calculated here is "benchmark penalty passed through all prior adjustment cases" followed by Tn.

Step 1043, adjusting the amplitude recommendation value according to the sentencing plot; obtaining a reference criminal recommendation value;

wherein, the reference criminal (J) and the calculation precondition is as follows: 1. obtaining a recommended value of an adjusting situation L1; 2. other adjustment scenarios sum up to the recommended value of L2.

If there is a prior adjustment condition, the calculation formula is:

reference criminal recommendation value (J recommendation value) ═ Pa/(1 + -L1 a recommendation value)

If there is no previous adjustment, the calculation formula is:

the benchmark criminal recommendation is S/(1 ± L2 recommendation). If the point value is the point value, no calculation is carried out.

And step 1044, obtaining an initiating criminal recommendation value according to the regulation proportion and the reference criminal recommendation value.

Wherein, starting criminal (Q), the precondition of calculation is:

1. increasing the amount of penalties (Z);

2. a reference penalty (J) recommendation;

3. the ratio (T) is adjusted. When the penalty amount is increased or decreased to be the point Zd, the starting point penalty Q recommended value is equal to J recommended value-Z_d. Increase penalty amount to interval (Z)_s，Z_w) The starting point penalty Q recommended value is J- (Z)_s+T*(Z_w-Z_s)). When there are previous adjustment situations, each situation has a corresponding adjustment ratio (T), where the corresponding adjustment ratio (T) for the reference criminal is used.

In an optional embodiment of the present application, when obtaining the recommendation conclusion, a risk pre-warning is further performed to the target user, where the risk pre-warning has three levels: the first level is close to unity, the second level has slight deviation, and the third level has large deviation.

Referring to fig. 3, a block diagram of a sentational assistance apparatus 200 provided by an embodiment of the present application is shown. As shown in fig. 3, the apparatus 200 may include: the device comprises an acquisition module 201, a processing module 202 and a calculation module 203.

An obtaining module 201, configured to obtain element content of a target case, where the element content is obtained according to a fact recorded in the target case, and the element content has a region identifier of a target case;

the processing module 202 is configured to obtain the sentencing content of the target case under the region identifier according to the content of the element of the target case with the geographic identifier, where the sentencing content at least includes a reference sentencing and a sentencing episode adjustment amplitude of the target case;

and the calculating module 203 is used for obtaining the declaration of the target case according to the criminal content by a preset criminal calculating formula.

In one embodiment of the present application, the apparatus 200 further comprises:

the verification module 204 is used for acquiring the actual penalty of the declaration of the target case with the highest proportion in the same case;

inputting the actual criminal penalty into a preset backward verification model to obtain a criminal episode adjustment amplitude recommended value, a reference criminal recommended value and an initiating criminal recommended value;

and when the equivalent criminal plot regulation amplitude recommendation value, the reference criminal recommendation value and the starting criminal recommendation value all accord with the law criminal fixing range, the declaration is used as an actual criminal penalty to be pushed.

For specific definitions of the angularity aid device, reference is made to the above definition of the angularity aid method, which is not further described herein. The various modules in the aforementioned sentencing assistance device may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

Corresponding to the sentention assisting method in fig. 1, the present application further provides a computer device, as shown in fig. 4, the device includes a memory 301, a processor 302, and a computer program stored on the memory 301 and operable on the processor 302, wherein the processor 302 implements the steps of the sentention assisting method when executing the computer program.

Specifically, the memory 301 and the processor 302 can be general-purpose memory and processor, and are not limited to specific examples, and when the processor 302 runs the computer program stored in the memory 301, the aforementioned sentry assistance method can be executed, so that the classification and naming of the volume can be rapidly and accurately realized based on the present invention.

Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the aforementioned sentencing assistance method.

The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.

In all examples shown and described herein, any particular value should be construed as merely exemplary, and not as a limitation, and thus other examples of example embodiments may have different values.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again. In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.