CN210955189U - Sample entrusted detection logistics and information management system based on block chain - Google Patents

Sample entrusted detection logistics and information management system based on block chain Download PDF

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CN210955189U
CN210955189U CN201921517078.5U CN201921517078U CN210955189U CN 210955189 U CN210955189 U CN 210955189U CN 201921517078 U CN201921517078 U CN 201921517078U CN 210955189 U CN210955189 U CN 210955189U
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sample
detection
module
supervision
information
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雷双全
刘永城
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Xi'an Qingyu Network Technology Co ltd
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Xi'an Qingyu Network Technology Co ltd
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Abstract

The utility model discloses a sample entrusted detection logistics and information management system based on block chain, which comprises a distributed block chain grid composed of at least one submission platform, at least one detection platform and at least one supervision platform as nodes, wherein the nodes are communicated with each other in the distributed block chain grid; the submission platform comprises a submission node server, a submission writing module, a submission node communication module and a submission end sample identifier reading and writing module. The utility model discloses well at least one censorship platform, at least one testing platform and at least one supervision platform intercommunications between two liang, realize shared information, be favorable to each testing platform to cooperate each other and improve work efficiency, sample sign packing supervision and anti-fake module of tracing to the source are perfect and improved sample detection flow and efficiency based on the block chain.

Description

Sample entrusted detection logistics and information management system based on block chain
Technical Field
The utility model belongs to the technical field of the commodity circulation, concretely relates to sample entrusts and detects commodity circulation and information management system based on block chain.
Background
Sample detection is one of important guarantee means for guaranteeing safe and stable operation of a thermal power plant, whether products are qualified or not is judged by providing accurate detection data, the reason for abnormity in the power generation process is found, and an abnormity solving method is sought. The sample detection relates to a variety of samples, mainly including water, coal, oil, metal materials, catalysts and the like, and detection laboratories to which power plants belong usually undertake detection and test works of routine detection and troubleshooting of large and small repair accidents of the units.
Entrusted detection is an important link and a key control point in the detection process, but because cross-region circulation of a sample to be detected is involved, the detection period is long, and intermediate links are many. The problems that samples are easily confused, original samples are difficult to trace, multiple detection results are difficult to integrate, the detection results are inconvenient to check, the detection results are tracked passively, problems cannot be found in time, the results are inconvenient to trace and the like are easily caused.
The block chain is a chain data structure formed by combining data blocks in a sequential connection mode according to a time sequence, and is a distributed book which is guaranteed in a cryptology mode and cannot be tampered and forged. The block chain is used as a subversive technology of the whole world of the mat, has the characteristics of decentralization, distrust and risk removal, and can well solve the problems of high network security risk, low credit, law supervision loss, communication lag and the like.
Therefore, a logistics and information supervision system for carrying out a sample consignment detection process through a block chain is urgently needed to realize intelligent supervision, simplify a sample consignment flow, assist comprehensive supervision and avoid hidden risks.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that not enough among the prior art is directed against above-mentioned, a sample entrusts and detects commodity circulation and information management system based on block chain is provided, a structure is simple, and reasonable design, at least one censorship platform, at least one testing platform and at least one supervision platform intercommunicate between two liang, realize shared information, be favorable to each inspection platform to collaborate each other and improve work efficiency, sample identification packing supervision and anti-fake module of tracing to the source are perfect and improved sample detection flow and efficiency based on block chain, realize that one thing a yard of complete flow is anti-fake and tracees back, make whole sample detection flow clearly visible, make the user can carry out the accuse effectively to the sample testing result.
In order to solve the technical problem, the utility model discloses a technical scheme is: sample entrusts and detects commodity circulation and information management system based on block chain, its characterized in that: the system comprises a distributed block chain grid consisting of at least one submission platform, at least one detection platform and at least one supervision platform as nodes, wherein the nodes are communicated with each other in the distributed block chain grid; the submission platform comprises a submission node server, a submission writing module connected with the submission node server, a submission node communication module and a submission end sample identifier reading and writing module used for reading and writing sample information; the detection platform comprises a detection node server, a detection write-in module connected with the detection node server, an anti-counterfeiting traceability module used for generating an anti-counterfeiting mark, a detection end sample mark read-write module used for reading and writing sample information, a data statistics module, a detection report generation module and a detection node communication module; the supervision platform comprises a supervision node server, a supervision writing-in module, a supervision report generating module, a supervision end sample identifier reading-writing module, an interval time determining module, a sequencing module and a supervision node communication module, wherein the supervision writing-in module, the supervision report generating module, the supervision end sample identifier reading-writing module, the interval time determining module, the sequencing module and the supervision node communication module are connected with the supervision node server, the interval time determining module is used for determining interval detection time of corresponding samples according to node information of the submission platform and the detection platform, and.
The sample entrusted detection logistics and information management system based on the block chain is characterized in that: the censorship node server is connected with a USB module.
The sample entrusted detection logistics and information management system based on the block chain is characterized in that: the detection node server is connected with a key generation module.
The sample entrusted detection logistics and information management system based on the block chain is characterized in that: the supervision node server is also connected with a detection delay prompting module.
The sample entrusted detection logistics and information management system based on the block chain is characterized in that: the supervision node server is also connected with an authority setting module.
The sample entrusted detection logistics and information management system based on the block chain is characterized in that: the sample information comprises sample basic information, sample consignment inspection logistics information, sample level information, sample detection information and supervision information.
Compared with the prior art, the utility model has the following advantage:
1. the utility model has the advantages of simple structure and reasonable design, realize and use convenient operation.
2. In the utility model, at least one inspection platform, at least one detection platform and at least one supervision platform are communicated with each other, so as to realize information sharing, thus being beneficial to the mutual cooperation of each inspection platform to improve the working efficiency and reduce the working cost; the monitoring platform is favorable for checking the inspection progress and the final inspection result in real time.
3. The utility model discloses a full flow data acquisition, sign and sharing have satisfied many copies, reliable record, can not falsify, many parties' transparent characteristic, realize that a thing a yard of full flow is anti-fake to be traceed back, make whole sample detection flow clear visible, make the user can carry out the accuse effectively to the sample testing result.
4. The utility model discloses sample identification packing supervision and anti-fake module of tracing to the source are perfect and improved sample detection flow and efficiency based on the block chain, can picture and text audio-visual and luxuriant quick show through the two-dimensional code on the scanning package with sample detection flow and detection data and anti-fake label's abundant content, and this kind of new mode of sample supervision has saved a large amount of time and energy for sample detection work.
5. The utility model discloses well data statistics module carries out the data statistics to sample basic information, sample entrusted censorship logistics information, sample level information and sample detection information, and the accumulation through data is favorable to the sample to cross the flow innovation of region multi-department cooperation, for further optimizing the resource, lays the basis for the digital operation that the sample detected.
To sum up, the utility model has the advantages of simple structure and reasonable design, at least one censorship platform, at least one testing platform and at least one supervision platform intercommunicate between two liang, realize shared information, be favorable to each testing platform to cooperate each other and improve work efficiency, sample sign packing supervision and anti-fake module of tracing to the source are perfect and improved sample detection flow and efficiency based on the block chain, realize that one thing a yard of total flow is anti-fake to be traceed back, make whole sample detection flow clear visible, make the user can carry out the control effectively to the sample testing result.
The technical solution of the present invention is further described in detail by the accompanying drawings and examples.
Drawings
Fig. 1 is a schematic block diagram of the circuit of the present invention.
Fig. 2 is a schematic circuit diagram of the inspection platform of the present invention.
Fig. 3 is a schematic circuit block diagram of the detection platform of the present invention.
Fig. 4 is a schematic circuit diagram of the monitoring platform of the present invention.
Description of reference numerals:
1-submission node server; 11-submission write-in module;
12-a sample identification read-write module at the submission end; 13-a USB module;
14-censorship node communication module; 2-detecting the node server;
21-detecting a write module; 22-anti-counterfeiting tracing module;
23-a detection end sample identification read-write module; 24-a data statistics module;
25-detection report generation module; 26-detecting node communication module;
27-a key generation module; 3-supervision node server;
31-supervision write module; 32-supervision report generation module;
33-a monitoring end sample identification read-write module; 34-interval time determination module;
35-a sorting module; 36-detection delay prompting module;
37-supervisory node communication module; 38-permission setting module.
Detailed Description
The method of the present invention will be described in further detail with reference to the accompanying drawings and embodiments of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
As shown in fig. 1-4, the utility model discloses a distributed block chain net that constitutes as the node by at least one censorship platform, at least one testing platform and at least one supervision platform, each node intercommunicates in distributed block chain net.
When the system is actually used, the at least one submission platform, the at least one detection platform and the at least one supervision platform are communicated with one another, so that full-process data acquisition and data sharing among multiple nodes are realized, the characteristics of multiple copies, reliable recording, non-falsification and multi-party transparency are met, one-object-one-code full-process anti-counterfeiting tracing is realized, the whole sample detection process is clear and visible, and a user can effectively control a sample detection result.
The submission platform comprises a submission node server 1, a submission writing module 11, a USB module 13, a submission node communication module 14 and a submission end sample identification reading and writing module 12, wherein the submission writing module 11, the USB module 13, the submission node communication module 14 and the submission end sample identification reading and writing module are connected with the submission node server 1.
In actual use, basic information of the sample and logistics information of the sample entrusted to be checked are written in through the checking write-in module 11. The submission end sample identification reading and writing module 12 generates a sample identification according to the basic information of the sample and the consignment submission logistics information of the sample, the submission node communication module 14 is used for communicating with the submission platform, the detection platform and the supervision platform, the submission platform, the detection platform and the supervision platform can acquire the sample identification in real time, and the USB module 13 is used for downloading data and the sample identification.
In particular, the sample identifier is located on the outer surface of the sample, and can be transmitted through the communication module 14 of the submission node.
Wherein the sample basis information includes the name, model, quantity, basis, date of manufacture, unit of manufacture, description of the location of the sample, photograph, person and/or method of sampling.
The sample consignment delivery logistics information comprises sample consignment node time, a consignor, logistics information, a transportation mode and the like.
The consignment of the sample is usually done by a logistics company, and the logistics information only includes the main transportation progress information. It is also possible that the delivery party uses its own transport means to transmit, and the logistics information includes not only the main transportation progress information but also the state information of the sample during transportation.
The detection platform comprises a detection node server 2, a detection write-in module 21 connected with the detection node server 2, an anti-counterfeiting traceability module 22 used for generating anti-counterfeiting marks, a detection end sample mark read-write module 23 used for reading and writing sample basic information, sample level information and sample detection information, a data statistics module 24, a detection report generation module 25 and a detection node communication module 26.
The sample receiving is completed by a detection mechanism, and the sample needs to be received from a logistics company and whether the sample is intact or not is confirmed. Then the detection platform needs to register, store, process, divide and detect the sample again, and input the information, and update the sample identification according to the information. And the updated sample identification is used as an information transmission carrier when the circulation inside the detection mechanism and the inquiry progress of the inspection party are carried out.
The sample detection is completed by a detection structure, and the detection of the sample is completed according to requirements and procedures. When there are a plurality of test items, the sample is usually divided into a plurality of portions and tested separately.
Wherein the sample level information includes whether the sample is divided and a division level.
The sample detection information comprises a detection unit, detection content, detection steps, detection step node time, a person in charge of detection, whether the detection is finished, a person to be examined and the detection time.
The consignment of the sample is sent back and returned by a detection mechanism, and the sample is sent back, discarded or stored for a long time according to the requirement or the requirement of a sender. The sample consignment delivery return logistics information comprises sample consignment return node time, a return consignor, logistics information, a transportation mode and the like.
The detection end sample identification read-write module 23 is used for identifying a sample identification and acquiring sample basic information and sample consignment submission logistics information carried by the sample identification, the detection write-in module 21 inputs sample level information, sample detection information and sample consignment submission return logistics information, and the detection end sample identification read-write module 23 generates a new sample identification according to the sample basic information, the sample consignment submission logistics information, the sample level information, the sample detection information and anti-counterfeiting information of a corresponding sample generated by the anti-counterfeiting traceability module 22.
The block chain-based sample identification package supervision and anti-counterfeiting traceability module is perfect and improves the sample detection process and efficiency, rich contents of the sample detection process, detection data and anti-counterfeiting identification can be rapidly displayed in a picture-text sound image mode by scanning the two-dimensional code on the package, and a large amount of time and energy are saved for sample detection work due to the new mode of sample supervision.
The detection node communication module 26 is in communication with the submission platform, the detection platform and the supervision platform, and the submission platform, the detection platform and the supervision platform can acquire the sample identification and the source tracing information in real time and know the sample level information and the sample detection information through the sample identification.
The information sharing is realized through the detection node communication module 26, so that the mutual cooperation of all detection platforms is facilitated, the working efficiency is improved, and the working cost is reduced; the monitoring platform is favorable for checking the inspection progress and the final inspection result in real time.
After each sorting project is finished, the result of the sorting needs to be re-identified, the sample identification is updated, and a detection report is formed in time. And forming a total detection report after all the detection items are finished.
The detection report generation module 25 calls the detection report template, and fills the sample basic information, the sample consignment submission logistics information, the sample level information, the sample detection information and the sample consignment submission return logistics information into the detection report template to generate a detection report. The submission platform, the detection platform and the supervision platform can acquire the detection report in real time.
The supervision platform comprises a supervision node server 3, a supervision writing module 31, a supervision report generating module 32, a supervision end sample identifier reading and writing module 33, an interval time determining module for determining interval detection time of corresponding samples according to node information of the submission platform and the detection platform, a sequencing module 35 for sequencing the interval detection time of the samples and a supervision node communication module 37, wherein the supervision writing module 31, the supervision report generating module 32, the supervision end sample identifier reading and writing module 33 are connected with the supervision node server 3.
The monitoring end sample mark read-write module 33 is used for identifying a sample mark, acquiring sample basic information, sample consignment submission logistics information, sample level information, sample detection information and sample consignment submission return logistics information carried by the sample mark, acquiring anti-counterfeiting information of a corresponding sample generated by the anti-counterfeiting traceability module 22, acquiring a sample source according to the anti-counterfeiting information, inputting monitoring information by the monitoring write-in module 31, updating the sample mark by the monitoring end sample mark read-write module 33 according to the sample basic information, the sample consignment submission logistics information, the sample level information, the sample detection information and the monitoring information, the monitoring node communication module 37 is communicated with the submission platform, the detection platform and the monitoring platform, the submission platform, the detection platform and the monitoring platform can acquire the sample mark in real time, and the sample basic information, the sample level information and the monitoring information of the sample are known, The sample consignment inspection logistics information, the sample level information, the sample detection information and the supervision information.
The supervision report generation module 32 calls the supervision report template, fills the basic information of the sample, the consignment delivery logistics information of the sample, the sample level information, the sample detection information and the supervision information into the supervision report template, generates a supervision report, and the delivery platform, the detection platform and the supervision platform can acquire the supervision report in real time.
The monitoring information comprises sample processing opinions, sample evaluation content, sample evaluation star level, detection platform evaluation content, detection platform evaluation star level and the like.
In this embodiment, the detection node server 2 is connected to a key generation module 27.
In practical use, the detection node server 2 encrypts the sample information by using the private key generated by the key generation module 27, and the other detection platforms, the submission platform and the supervision platform decrypt the sample information by using the system public key. The sample information is encrypted, so that the sample information has the characteristic of being not tampered, and the using effect is good.
In this embodiment, the monitoring node server 3 is further connected to a detection delay prompting module 36.
In actual use, the supervision writing module 31 writes detection durations corresponding to different detection steps. The interval time determination module 34 calculates the detection interval time corresponding to different samples. The supervision node server 3 compares the detection interval duration written by the supervision writing module 31 with the detection interval duration calculated by the interval duration determining module 34, and when the detection interval duration calculated by the interval duration determining module 34 is greater than the detection interval duration written by the supervision writing module 31, the detection delay prompting module 36 sends out prompting information to prompt a supervisor to take measures.
The sequencing module 35 sequences the detection interval durations of different samples from large to small or from small to large, so that the efficiency sequencing of the detection platform is facilitated for the supervision personnel.
In this embodiment, the monitoring node server 3 is further connected to an authority setting module 38.
In actual use, the permission setting module 38 is a password input module. The supervision node server 3 determines whether the key in the comparison authority setting module 38 is consistent with the key input by the operator through the supervision writing module 31, and if so, the comparison authority passes the authority setting.
In this embodiment, the sample identifier is a two-dimensional code and/or an NFC tag.
In actual use, the submission-end sample identifier reading and writing module 12, the detection-end sample identifier reading and writing module 23 and the supervision-end sample identifier reading and writing module 33 are all two-dimensional code readers or NFC tag readers.
In this embodiment, the data statistics module 24 performs data statistics on the sample basic information, the sample consignment submission logistics information, the sample level information, and the sample detection information.
In actual use, the data statistics module 24 compares and counts the sample basic information, the sample consignment submission logistics information, the sample level information and the sample detection information according to the index information. The data accumulation is beneficial to the process innovation of the cross-region multi-department cooperation of the samples, and the foundation is laid for further optimizing resources and the digital operation of sample detection.
The aforesaid, only be the embodiment of the utility model discloses an it is not right the utility model discloses do any restriction, all according to the utility model discloses the technical entity all still belongs to any simple modification, change and the equivalent structure change of doing above embodiment the utility model discloses technical scheme's within the scope of protection.

Claims (6)

1. Sample entrusts and detects commodity circulation and information management system based on block chain, its characterized in that: the system comprises a distributed block chain grid consisting of at least one submission platform, at least one detection platform and at least one supervision platform as nodes, wherein the nodes are communicated with each other in the distributed block chain grid; the submission platform comprises a submission node server (1), a submission writing module (11) connected with the submission node server (1), a submission node communication module (14) and a submission end sample identifier reading and writing module (12) for reading and writing sample information; the detection platform comprises a detection node server (2), a detection write-in module (21) connected with the detection node server (2), an anti-counterfeiting traceability module (22) used for generating an anti-counterfeiting mark, a detection end sample mark read-write module (23) used for reading and writing sample information, a data statistics module (24), a detection report generation module (25) and a detection node communication module (26); the supervision platform comprises a supervision node server (3), a supervision writing module (31) connected with the supervision node server (3), a supervision report generating module (32), a supervision end sample identification reading and writing module (33), an interval time determining module (34) used for determining interval detection time of corresponding samples according to node information of the submission platform and the detection platform, a sequencing module (35) used for sequencing the interval detection time of the samples and a supervision node communication module (37).
2. The block chain-based sample entrustment detection logistics and information management system of claim 1, wherein: the submission node server (1) is connected with a USB module (13).
3. The block chain-based sample entrustment detection logistics and information management system of claim 1, wherein: the detection node server (2) is connected with a key generation module (27).
4. The block chain-based sample entrustment detection logistics and information management system of claim 1, wherein: the supervision node server (3) is also connected with a detection delay prompting module (36).
5. The block chain-based sample entrustment detection logistics and information management system of claim 1, wherein: the supervision node server (3) is also connected with an authority setting module (38).
6. The block chain-based sample entrustment detection logistics and information management system of claim 1, wherein: the sample information comprises sample basic information, sample consignment inspection logistics information, sample level information, sample detection information and supervision information.
CN201921517078.5U 2019-09-11 2019-09-11 Sample entrusted detection logistics and information management system based on block chain Active CN210955189U (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110443627A (en) * 2019-09-11 2019-11-12 西安清宇网络科技有限公司 Sample commission detection logistics and information management system and method based on block chain
CN113742788A (en) * 2021-09-01 2021-12-03 宁波大学科学技术学院 Product entrusted production system and method based on trusted data supervision

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110443627A (en) * 2019-09-11 2019-11-12 西安清宇网络科技有限公司 Sample commission detection logistics and information management system and method based on block chain
CN113742788A (en) * 2021-09-01 2021-12-03 宁波大学科学技术学院 Product entrusted production system and method based on trusted data supervision

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