CN113255315A - Method and system for configuring and generating evidence chain - Google Patents
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Abstract
The invention provides a method and a system for configuring and generating an evidence chain, wherein the method for configuring the evidence chain comprises the following steps: acquiring an evidence point template, wherein the evidence point template comprises fields; storing the evidence point examples according to the evidence point template; setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; acquiring an evidence chain template which comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation; the evidence point template and the evidence chain template are stored. According to the method, the evidence chain is configured by using the relationship between the evidence points, a user can store the evidence chain only by storing the evidence points without manually mounting the evidence points on the evidence chain, and the evidence chain configured by using the method can automatically generate the evidence chain instance, so that the method is quick and convenient.
Description
Technical Field
The invention relates to an evidence chain preservation technology, in particular to a method and a system for configuring an evidence chain according to evidence points and automatically generating the evidence chain according to the evidence points.
Background
At present, the method for storing the evidence chain is to store the evidence points, when the evidence chain needs to be called, the ID of the evidence points is returned, then the method for creating the evidence chain is called, and then the evidence points are manually mounted on the evidence chain. The method needs to mount evidence manually, and the evidence can pass in and out of the network for many times, so that the access cost is high; moreover, when the evidence chains are overlapped, the evidence points are repeatedly mounted, so that resource waste is caused; for the requirement of generating a new evidence chain in historical data, a large amount of manpower is required to be input into the work of mounting evidence points, and manpower resource waste is caused.
Disclosure of Invention
In order to solve the problem of wasting of human resources and storage resources, the application provides a method and a system for configuring and generating an evidence chain.
A method of configuring a chain of evidence comprising the steps of: acquiring an evidence point template, wherein the evidence point template comprises fields; storing evidence point examples according to the evidence point template; setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; acquiring an evidence chain template which comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation; and storing the evidence point template and the evidence chain template.
The number of the sub-evidence point templates can be zero, that is, only the main evidence point template and the main evidence point instance are needed in the evidence chain, and the sub-evidence point template is not needed to inquire the sub-evidence point instance.
Further, one of the witness point templates corresponds to at least one witness point instance.
Further, the mapping relationship includes that one of the primary evidence point instances corresponds to one of the secondary evidence point instances in the same secondary evidence point template, or one of the primary evidence point instances corresponds to a plurality of the secondary evidence point instances in the same secondary evidence point template.
Further, the attributes of the field include the field name, the field type, and whether transmission is necessary.
Further, the method also comprises the following steps after setting the fields in the evidence point template: and verifying the field according to the attribute of the field.
A method for generating an evidence chain, which is configured according to the method for configuring the evidence chain, comprises the following steps: calling the evidence chain template, wherein the evidence chain template comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation; querying a hostage point instance according to the hostage point template and the query field, and locating the hostage point instance at a starting point of an evidence chain; extracting a query condition of a corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation; and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
Further, the mapping relationship includes that one of the primary evidence point instances corresponds to one of the secondary evidence point instances in the same secondary evidence point template, or one of the primary evidence point instances corresponds to a plurality of the secondary evidence point instances in the same secondary evidence point template.
Further, when the mapping relationship is that one master evidence point instance corresponds to a plurality of slave evidence point instances in the same slave evidence point template, all the slave evidence point instances are inquired or one slave evidence point instance is inquired according to a preset extraction rule.
Further, the extraction rule includes extracting a sub-proof point instance having a sub-proof point instance generation time closest to a current time point, or extracting a sub-proof point instance having a sub-proof point instance generation time closest to the main proof point instance generation time.
A system for preserving and generating a chain of evidence, comprising: the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring an evidence point template which comprises fields; storing evidence point examples according to the evidence point template; setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; the evidence chain template comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation;
the storage unit is used for storing evidence point instances according to the evidence point template and storing the evidence point template and the evidence chain template;
the evidence chain generating unit is used for calling the evidence chain template and comprises a main evidence point template, an auxiliary evidence point template, a query field, an associated field and a mapping relation; querying a hostage point instance according to the hostage point template and the query field, and locating the hostage point instance at a starting point of an evidence chain; extracting a query condition of a corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation; and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
The method provided by the invention has the following advantages:
according to the method, the evidence chain is configured by using the relationship between the evidence points, a user can store the evidence chain only by storing the evidence points without manually mounting the evidence points on the evidence chain, and the evidence chain configured by using the method can automatically generate the evidence chain instance, so that the method is quick and convenient. For the historical data of which the evidence chain is to be recombined, the evidence chain of the historical data can be generated only by resetting the relationship between the evidence points, so that the data storage efficiency and the data output efficiency are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow diagram of configuring a chain of evidence;
FIG. 2 is a schematic flow diagram of generating a chain of evidence;
FIG. 3 is a schematic diagram of a system for saving and generating chains of evidence.
Detailed Description
In order to make the purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the embodiments described below are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
The invention is further elucidated with reference to the drawings and the embodiments.
Example 1
As shown in fig. 1, a method for configuring an evidence chain obtains an evidence point template, where the evidence point template includes fields; the field attribute comprises a field name, a field type and whether the data is transmitted or not, verification is carried out according to the field attribute, the integrity of the evidence point data is ensured, whether the data is transmitted or not is verified, and the successful storage of the evidence point template is ensured.
The evidence point instances are stored according to the evidence point template.
Setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; the evidence chain template comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation; the evidence point template and the evidence chain template are stored.
For example, there is now a new chain of evidence to be stored involving three evidence point templates A, B and C, where A includes school number, name, age, class, B includes school number, subject, score, and C includes school number, hobbies.
For example, the evidence point examples of the evidence point template a are 1, zhang san, 28, and 1 shift, the evidence point examples of the evidence point template B are 1, math, and 90, and the disciplines have many disciplines, so there are also example 1, language, and 92, and the same evidence point template corresponds to different evidence point examples, and here, B1 and B2 may be marked to represent different examples under the evidence point template B.
Firstly, a main evidence template is set, wherein the main evidence template is set as A, the school number and the name are used as query fields, and the query fields are used for quickly querying a main evidence point instance in the subsequent evidence chain generation process.
And adding a subsidiary evidence point template B, setting an associated field between the evidence point template A and the evidence point template B, wherein a learning number is set as the associated field, and the mapping relation is that one main evidence point instance corresponds to a plurality of subsidiary evidence point instances in the same subsidiary evidence point template, namely 1 to N, namely, one main evidence point instance corresponding to the A main evidence point template can correspond to the subsidiary evidence point instances of the plurality of subsidiary evidence point templates B.
And finally, adding a subsidiary evidence point template C, and setting an associated field between the evidence point template A and the evidence point template C, wherein the academic number is set as the associated field, and the academic number can also be set as a different field, which is not required to be the same as the associated fields of the A and the B. The mapping relationship is that one of the primary evidence point instances corresponds to a plurality of secondary evidence point instances in the same secondary evidence point template, i.e., 1 to N, that is, one of the primary evidence point instances corresponding to the primary evidence point template a may correspond to the secondary evidence point instances of a plurality of C secondary evidence point templates.
After configuration, the following evidence chain template L is obtained: a (Master certificate Point template containing school number, name, age, class), B (vice certificate Point template 1, associated field: [ school number ], 1 to N containing school number, subject, score), C (vice certificate Point template 2, associated field: [ school number ], 1 to N containing school number, hobby)
As shown in fig. 2, a method of generating a chain of evidence includes the steps of: calling an evidence chain template, wherein the evidence chain template comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation; querying a hostage point instance according to the hostage point template and the query field, and locating the hostage point instance at the beginning of the evidence chain; extracting a query condition of the corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation; and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
A. B, C there are many evidence point instances stored under all three evidence point templates, for example:
a: (1, Zhang San, 28, 1 class), (2, Li Si, 1, 2 classes), (3, Wang Wu, 3, 3 classes)
B: (1, language, 100), (1, mathematics, 100), (1, physical, 99), (2, language, 98), (2, mathematics, 80), (2, physical, 100), (3, language, 95), (3, mathematics, 100), (3, physical, 100) (4, physical, 90) (5, chemical, 100)
C: (1, read book), (1, play ball), (2, swim), (2, play chess), (3, sing), (3, see cartoon) (6, run) (7, play piano)
The principal certification point instance will be queried first based on the principal certification point template and the query field, i.e., (1, Zhang three, 28, 1 shift), (2, Liqu four, 1, 2 shifts), (3, Wang five, 3, 3 shifts).
Corresponding query conditions, namely 1, 2 and 3, are extracted according to the associated fields [ academic numbers ] of the main evidence point template A and the subsidiary evidence point template B, one main evidence point instance corresponds to a plurality of subsidiary evidence point instances in the same subsidiary evidence point template according to the query conditions and the mapping relation 1 to N, and the subsidiary evidence point instances (1, language, 100), (1, mathematics, 100), (1, physics, 99), (2, language, 98), (2, mathematics, 80), (2, physics, 100), (3, language, 95), (3, mathematics, 100), (3, physics, 100) are queried.
And extracting corresponding query conditions (1, 2 and 3) according to the associated fields [ academic numbers ] of the main evidence point template A and the subsidiary evidence point template C, wherein one main evidence point example corresponds to a plurality of subsidiary evidence point examples (1, reading), (1, playing), (2, swimming), (2, playing), (3, singing) and (3) seeing the cartoon in the same subsidiary evidence point template according to the query conditions and the mapping relation 1 to N.
The mapping relation of A, B, A and C is 1 to N, the main evidence point instance and the sub evidence point instance are arranged to generate three evidence chain instances:
chain of evidence 1: a (1, Zhang three, 28, 1 shift) B (1, Chinese, 100) (1, mathematics, 100) (1, physics, 99) C (1, reading) (1, playing ball);
chain of evidence 2: a (2, Lisi, 1, 2 shifts) B (2, Chinese, 98) (2, mathematics, 80) (2, physics, 100) C (2, swimming) (2, playing chess);
chain of evidence 3: a (3, wangwu, 3, 3 shifts) B (3, chinese, 95) (3, math, 100) (3, physics, 100) C (3, sing), (3, watch cartoon).
In this embodiment, after setting the fields in the evidence point template, the method further includes the following steps: and verifying the field according to the attribute of the field.
For example, the study number is a field name, the character string of the name is a field type, the number of the age is also a field type, whether the field is required to be uploaded or not is judged, and the field name, the field type and whether the field is required to be uploaded or not are verified.
In other embodiments, there may be no collateral evidence point template in the evidence chain template, only the principal evidence point template and the principal evidence point instance, that is, the evidence chain is short, and the collateral evidence point instance may not be queried using the collateral evidence point template.
Example 2
In embodiment 2, the mapping relationship between the primary evidence point instance and the secondary evidence point instance is set to be that one primary evidence point instance corresponds to one secondary evidence point instance in the same secondary evidence point template, that is, the mapping relationship is 1 to 1, that is, when there are many secondary evidence point instances in the same secondary evidence point template, only one secondary evidence point instance is taken, and one secondary evidence point instance is queried according to the preset extraction rule. The extraction rule includes extracting a sub-proof point instance whose sub-proof point instance generation time is closest to the current time point, or extracting a sub-proof point instance whose sub-proof point instance generation time is closest to the main proof point instance generation time.
If the generation times of B1 (1, Chinese, 100), B2 (1, math, 100), and B3 (1, physics, 99) are previous day, yesterday, and today, respectively, and the extraction rule is to extract the sub-witness instance whose generation time is closest to the current time point, then sub-witness instance B3 (1, physics, 99) is extracted.
If C1 (1, see book), C2 (1, hit ball) generation times are 9 and 14 points today, respectively, and the generation time of the master proof point instance (1, zhang san, 28, 1 shift) is 8 points today, the extraction rule is to extract the sub proof point instance whose sub proof point instance generation time is closest to the master proof point instance generation time, then the sub proof point instance C1 (1, see book) is extracted.
The mapping relation of A, B, A and C is 1 to 1, the main evidence point instance and the sub evidence point instance are arranged to generate three evidence chain instances:
chain of evidence 1: a (1, Zhang III, 28, 1 shift) (1, physics, 99) C (1, read);
chain of evidence 2: a (2, Liqu, 1, 2 shifts) (2, physical, 100) C (2, swimming);
chain of evidence 3: a (3, Wangwu, 3, 3 shifts) (3, Physics, 100) C (3, singing).
Example 3
The embodiment provides a system for saving and generating an evidence chain, as shown in fig. 3, including: the device comprises an acquisition unit, a storage unit and an evidence chain generation unit.
The system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring an evidence point template which comprises fields; storing the evidence point examples according to the evidence point template; setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; acquiring an evidence chain template which comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation;
the storage unit is used for storing the evidence point examples according to the evidence point templates and storing the evidence point templates and the evidence chain templates;
the evidence chain generating unit is used for calling the evidence chain template and comprises a main evidence point template, an auxiliary evidence point template, a query field, an associated field and a mapping relation; querying the instance of the principal evidence point according to the principal evidence point template and the query field, and positioning the instance of the principal evidence point at the starting point of the evidence chain; extracting a query condition of the corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation; and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
Example 4
A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the methods described in embodiments 1 and 2 above.
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. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed.
The units may or may not be physically separate, and components displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed in a plurality of different places. 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 invention 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing.
More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless section, wire section, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (11)
1. A method of configuring a chain of evidence, comprising the steps of:
acquiring an evidence point template, wherein the evidence point template comprises fields;
storing evidence point examples according to the evidence point template;
setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance;
acquiring an evidence chain template which comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation;
and storing the evidence point template and the evidence chain template.
2. The method of configuring a chain of evidence according to claim 1, one of said evidence point templates corresponding to at least one evidence point instance.
3. The method of configuring a chain of evidence according to claim 1, the mapping comprising one of the instances of the master evidence point corresponding to one of the instances of the collateral evidence point in the same template of the collateral evidence point, or one of the instances of the master evidence point corresponding to a plurality of instances of the collateral evidence point in the same template of the collateral evidence point.
4. The method of configuring a chain of evidence according to claim 1, the attributes of the fields comprising field name, field type and whether there is a passerby.
5. The method for configuring a chain of evidence according to claim 4, further comprising the following steps after setting the fields in the evidence point template: and verifying the field according to the attribute of the field.
6. A method of generating a chain of evidence, configured according to the method of configuring a chain of evidence as claimed in claim 1, comprising the steps of:
calling the evidence chain template, wherein the evidence chain template comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation;
querying a hostage point instance according to the hostage point template and the query field, and locating the hostage point instance at a starting point of an evidence chain;
extracting a query condition of a corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation;
and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
7. The method of generating a chain of evidence according to claim 6, the mapping comprising one instance of the principal evidence point corresponding to one instance of the collateral evidence point in the same collateral evidence point template or one instance of the principal evidence point corresponding to multiple instances of the collateral evidence point in the same collateral evidence point template.
8. The method for generating an evidence chain according to claim 7, wherein when the mapping relationship is that one of the primary evidence point instances corresponds to a plurality of secondary evidence point instances in the same secondary evidence point template, all the secondary evidence point instances are queried or one secondary evidence point instance is queried according to a preset extraction rule.
9. The method of generating a chain of evidence according to claim 8, the extraction rule comprising extracting a sub-evidence point instance having a generation time of the sub-evidence point instance closest to a current time point, or extracting a sub-evidence point instance having a generation time of the sub-evidence point instance closest to a generation time of the main evidence point instance.
10. A system for preserving and generating a chain of evidence, comprising:
the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring an evidence point template which comprises fields; storing evidence point examples according to the evidence point template; setting a main evidence point template and an auxiliary evidence point template, setting a query field in the main evidence point template, and setting a correlation field in the main evidence point template and the auxiliary evidence point template and a mapping relation between a main evidence point instance and an auxiliary evidence point instance; acquiring an evidence chain template which comprises a main evidence point template, an auxiliary evidence point template, a query field, an association field and a mapping relation;
the storage unit is used for storing evidence point instances according to the evidence point template and storing the evidence point template and the evidence chain template;
the evidence chain generating unit is used for calling the evidence chain template and comprises a main evidence point template, an auxiliary evidence point template, a query field, an associated field and a mapping relation; querying a hostage point instance according to the hostage point template and the query field, and locating the hostage point instance at a starting point of an evidence chain; extracting a query condition of a corresponding sub-evidence point template according to the associated field, and querying a sub-evidence point instance according to the query condition and the mapping relation; and arranging the main evidence point instance and the sub evidence point instance to generate an evidence chain.
11. A computer storage medium on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the method of any one of claims 1-9.
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Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104182405A (en) * | 2013-05-22 | 2014-12-03 | 阿里巴巴集团控股有限公司 | Method and device for connection query |
CN109766338A (en) * | 2018-11-28 | 2019-05-17 | 杭州云为科技有限公司 | Self-defined report design method, electronic equipment, storage medium and system |
CN110602214A (en) * | 2019-09-16 | 2019-12-20 | 百度在线网络技术(北京)有限公司 | Evidence storing and processing method, device, equipment and medium of judicial chain |
CN111506559A (en) * | 2020-04-21 | 2020-08-07 | 北京同邦卓益科技有限公司 | Data storage method and device, electronic equipment and storage medium |
US20200401597A1 (en) * | 2019-03-20 | 2020-12-24 | Motorola Solutions, Inc. | Device, system and method for interoperability between digital evidence management systems |
WO2021024023A1 (en) * | 2019-08-07 | 2021-02-11 | Roshanzamir Amirhossein | Intelligent system for authentication of handmade carpet |
CN112540760A (en) * | 2020-12-08 | 2021-03-23 | 杭州讯酷科技有限公司 | UI (user interface) quick construction method based on data source field |
CN112632115A (en) * | 2020-07-31 | 2021-04-09 | 银盛支付服务股份有限公司 | BI-based data query method and system |
CN112691374A (en) * | 2021-03-24 | 2021-04-23 | 中至江西智能技术有限公司 | Evidence chain generation method and device, readable storage medium and electronic equipment |
CN112699115A (en) * | 2019-10-23 | 2021-04-23 | 拉扎斯网络科技(上海)有限公司 | Data storage and query method and device, electronic equipment and storage medium |
CN112860802A (en) * | 2021-03-29 | 2021-05-28 | 中信银行股份有限公司 | Database operation statement processing method and device and electronic equipment |
CN113032393A (en) * | 2021-01-26 | 2021-06-25 | 苏州帝博信息技术有限公司 | Method and device for binding associated object |
CN113129145A (en) * | 2021-03-12 | 2021-07-16 | 广州八爪鱼科技有限公司 | Electronic evidence storing and verifying method and device based on block chain |
-
2021
- 2021-07-19 CN CN202110814781.8A patent/CN113255315B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104182405A (en) * | 2013-05-22 | 2014-12-03 | 阿里巴巴集团控股有限公司 | Method and device for connection query |
CN109766338A (en) * | 2018-11-28 | 2019-05-17 | 杭州云为科技有限公司 | Self-defined report design method, electronic equipment, storage medium and system |
US20200401597A1 (en) * | 2019-03-20 | 2020-12-24 | Motorola Solutions, Inc. | Device, system and method for interoperability between digital evidence management systems |
WO2021024023A1 (en) * | 2019-08-07 | 2021-02-11 | Roshanzamir Amirhossein | Intelligent system for authentication of handmade carpet |
CN110602214A (en) * | 2019-09-16 | 2019-12-20 | 百度在线网络技术(北京)有限公司 | Evidence storing and processing method, device, equipment and medium of judicial chain |
CN112699115A (en) * | 2019-10-23 | 2021-04-23 | 拉扎斯网络科技(上海)有限公司 | Data storage and query method and device, electronic equipment and storage medium |
CN111506559A (en) * | 2020-04-21 | 2020-08-07 | 北京同邦卓益科技有限公司 | Data storage method and device, electronic equipment and storage medium |
CN112632115A (en) * | 2020-07-31 | 2021-04-09 | 银盛支付服务股份有限公司 | BI-based data query method and system |
CN112540760A (en) * | 2020-12-08 | 2021-03-23 | 杭州讯酷科技有限公司 | UI (user interface) quick construction method based on data source field |
CN113032393A (en) * | 2021-01-26 | 2021-06-25 | 苏州帝博信息技术有限公司 | Method and device for binding associated object |
CN113129145A (en) * | 2021-03-12 | 2021-07-16 | 广州八爪鱼科技有限公司 | Electronic evidence storing and verifying method and device based on block chain |
CN112691374A (en) * | 2021-03-24 | 2021-04-23 | 中至江西智能技术有限公司 | Evidence chain generation method and device, readable storage medium and electronic equipment |
CN112860802A (en) * | 2021-03-29 | 2021-05-28 | 中信银行股份有限公司 | Database operation statement processing method and device and electronic equipment |
Non-Patent Citations (4)
Title |
---|
YUANLIANG CHEN;JIDONG GE;YI FENG;YEMAO ZHOU;CHUANYI LI;: ""Design and Implementation of Visual Modeling Tool for Evidence Chain"", 《2017 14TH WEB INFORMATION SYSTEMS AND APPLICATIONS CONFERENCE (WISA)》 * |
曾超;杜新胜;郑聪艺;章婉仙: ""公检法基于区块链和大数据共建证据链"", 《信息安全与通信保密》 * |
王伍柒;周飞: "《大学计算机基础》", 31 July 2014 * |
邓矜婷;周祥军: ""电子存证证据真实性的审查认定"", 《法律适用》 * |
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