CN110728530A - Monitoring and alarming method of tracing intelligent robot based on block chain - Google Patents
Monitoring and alarming method of tracing intelligent robot based on block chain Download PDFInfo
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Abstract
The invention discloses a product traceability intelligent robot monitoring and alarming method based on a block chain, which is used for solving the potential safety hazards that block chain data are easy to tamper and delete and the like, and meanwhile, the problem of lack of intelligent monitoring and alarming is realized through the following six steps: s1 setting gene label and gene device; s2 setting a monitoring dimension; s3 generating a continuation relation; s4 tracing to the source; s5 checking; s6 monitors the alarm. The invention can realize the strong association binding and effective real acquisition of the label and the product identity information, and prevent the product from being counterfeited; the design and development of the primary monitoring robot and the inherited monitoring robot are carried out by using an intelligent contract of the block chain, so that the transparent and non-falsification of the monitoring condition of the tracing product is ensured, and the early-finding and early-warning of an abnormal event are ensured; the whole production process of the product can be monitored by the combination of a plurality of multidimensional monitoring conditions. The invention can solve the problems of product counterfeiting, goods fleeing, unclear market condition, overstocked warehouse and the like.
Description
Technical Field
The invention relates to the technical field of specific application of a block chain traceability technology, in particular to a product traceability intelligent robot monitoring and alarming method based on a block chain.
Background
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. Blockchains are a technical solution similar to non-relational databases, which are essentially a decentralized database. The blockchain technique can be implemented with a variety of programming languages and architectures. Compared to conventional databases, blockchains have the property of being computationally infeasible to change. The block chain is composed of a plurality of blocks. Each block stores a number of transaction data (messages). And carrying out hash calculation on the data of each message and the processed messages in the blocks to obtain corresponding hash values. Thus, any change to any message within a block will result in a subsequent change to the hash value. Thus, the hash value within a chunk can be used to verify the validity of the chunk data and to link the next message. The processing mode of the blocks is similar, namely, hash calculation is carried out on each block and the hash value of the processed block to generate a new hash value, and a layer-by-layer nested relation is formed. If the data in any chunk is modified, it will not match the hash stored in the next blockchain, resulting in a discrepancy. The data stored in the blockchain cannot be tampered with.
A blockchain intelligent contract is a special protocol that aims at providing, validating and executing contracts. The intelligent contracts are an important reason why blockchains are called "decentralized," which allows us to perform traceable, irreversible, and secure transactions without the need for third parties.
The smart contract contains all information about the transaction and only after the requirements are met will the resulting operation be performed. Smart contracts differ from traditional paper contracts in that smart contracts are computer-generated. Thus, the code itself explains the relevant obligations of the participant. The participants of an intelligent contract are usually strangers on the internet and are subject to a binding digital agreement. In essence, a smart contract is a digital contract that will not produce a result unless the requirements are met.
By adopting the block chain technology, the stored data can be ensured to be unchangeable. The characteristic can be used for ensuring the uniqueness of the commodity and preventing illegal copying of product labels, and the technology of the Internet of things can acquire information of each stage of product production. Therefore, a new product tracing method can be provided by combining the blockchain technology with the internet of things tracing technology and adding the production plan information and the digital signature of the related responsible person into the blockchain. The method can avoid data modification in a traceability system, avoid the problem of illegal copying of product labels, and quickly locate problem links and related responsible persons in the production process. Meanwhile, due to the addition of the production plan information, the product is prevented from being abused. By adopting the intelligent contract of the block chain, different service main bodies can autonomously set respective intelligent contract robots, and the respective product traceability problems are discovered and processed early.
With the increasing concern of governments and social masses on food and drug safety problems and counterfeit and shoddy product problems, product traceability is increasingly emphasized by modern supply chain management and becomes an important means of supply chain management, and intelligent monitoring and alarming of traceability data are an important part in the traceability process.
Chinese patent documents with publication number CN 110009374A and publication date of 2019, 07/12 disclose a product traceability system based on a block chain, which is mainly applied to the detection of liquid dairy products, and an acquisition terminal monitoring device comprises a component detection probe, a handle built-in component analysis module and a display screen; a camera rotating around a rotating shaft is arranged above the handle display screen; controlling the rotary camera to rotationally shoot the acquired process data video, and storing the recorded video data to a designated server by a storage module to obtain a camera shooting fragment link of the corresponding server; the acquisition terminal monitoring device also comprises an acquisition data index and block data broadcasting unit; the collected data index comprises a video collecting sequence, a camera shooting fragment link, component data and comparison data; the acquisition terminal monitoring device encrypts a group of data generated each time through the block data broadcasting unit and sends the encrypted data to a corresponding block in the block chain. The invention can encrypt the data of the whole detection process of the liquid dairy product through the block chain technology, thereby improving the public credibility of the product traceability system.
Although the above patent document discloses a block chain lake source tracking method, this proposal only provides a method for reliably storing and checking data, that is, data in a block chain is searched, and the monitoring of a product production process is very little.
At present, most traceability systems use a centralized server for storage, a business layer mainly adopts data collection presentation as intelligent analysis and alarm as assistance, potential safety hazards such as easy tampering and easy deletion of centrally stored data exist, and meanwhile, due to lack of intelligent monitoring and alarm, early warning cannot be mastered on the real-time state of a product, so that a series of product problems such as product counterfeiting, goods fleeing, unclear market condition, overstocked warehouse and the like are easily caused.
Disclosure of Invention
The invention aims to provide a monitoring and warning method of a product traceability intelligent robot based on a block chain, aiming at the defects and shortcomings of the prior art. The invention is used for solving the problems of product counterfeiting, goods fleeing, unclear market condition, overstocked warehouse and the like of products.
The invention is realized by adopting the following technical scheme:
a product traceability intelligent robot monitoring and alarming method based on a block chain is realized by the following six steps:
s1 sets gene signature and gene device: the gene label is an identity label embedded with a gene chip, and the label is associated with a product through special equipment and is used as a unique identifier in a product traceability monitoring process;
the gene device is a special device for reading gene label information, mainly performs identity association binding operation of the gene label and a product, and sets the rights of the gene label and the gene device.
And reporting the information of the gene label, the gene equipment, the identity association binding relationship between the gene label and the product, the ownership of the gene equipment and the like to a tracing chain once the information is set.
S2 sets the monitoring dimension: the native monitoring robot is a native multidimensional monitoring intelligent contract of a tracing chain, and a service main body applies for deriving respectively required inheritance robots from the native robot and sets detailed parameters of each monitoring dimension in a personalized manner.
S3 generates a continuation relation: the inheritance robot is derived from a primary robot and serves different tracing users, the inheritance robot under the service subject is automatically generated after the setting of all monitoring dimension parameters is completed, and dimension tracing monitoring is carried out on tracing products under the service subject according to the set monitoring dimensions.
S4 tracing: the genetic equipment acquires the condition monitoring parameter values on the label at different stages in the product tracing process, and reports the condition monitoring parameter values to the tracing chain together with the various information described in the step S1, the information acquisition timestamp of the genetic equipment and the GPS information.
Checking by S5: after the data information reported in step S4 is processed in the background, data reported under monitoring conditions of different dimensions with uniform format, such as original information of identity, time, space, quantity, logic, perception, etc., is formed, and is compared and checked with various monitoring dimension parameters set by the inherited robot.
S6 monitoring alarm: and monitoring and alarming when the verification result is abnormal, reporting the alarm information to a tracing chain, simultaneously presenting the alarm information on a tracing background interface, and informing a service main body in a mode not limited to short messages and mails.
Wherein the native supervisory robot described in step S2,
1) its monitoring dimension includes: the identity dimension of access equipment, the product information acquisition time, the space dimension, the product quantity dimension, the distribution dimension and the perception dimension, namely, the data result obtained by processing different data acquired by various internet of things equipment in the traceability process or comprehensive data can be used as a data target monitored by the native robot;
2) relationship to the legacy robot: the inheritance robot is an intelligent contract program which is used for adjusting and inheriting the monitoring parameters of the native robot only in order to meet the individual requirements of different service subjects;
3) and (3) monitoring result feedback: the native robot is informed of the alarm result under the condition of inheriting the monitoring of the robot and is displayed on the monitoring page of the native robot.
The working steps of the inheritance robot in the step S3 are as follows:
1) setting generation: different service bodies apply for opening the inherited robot service on the platform, various monitoring dimension parameters mentioned in the native robot are set independently according to respective requirements, generation is confirmed after setting is completed, and contract parameters are linked;
2) monitoring is started: after the inheritance robot is generated, monitoring is carried out on tracing product data under a service subject immediately after clicking starting, and the generated tracing data is stored in a tracing union chain;
3) monitoring and alarming: if the tracing data is not within the set monitoring threshold, the inheritance robot can send an alarm notice, and the alarm mode can be carried out in various modes such as platform interface alarm, short message, mail and the like so as to ensure that a service subject can immediately receive alarm information and carry out emergency treatment; the generated alarm data is stored in a traceability federation chain.
The comprehensive implementation process of the tracing, verifying and monitoring alarming steps is as follows: :
1) associating the product with a tag ID using the gene tag;
2) generating a inheritance robot, and configuring the identity of hardware equipment related to a service subject and monitoring parameters;
3) constructing blocks of information data of production, storage, logistics, distribution/distribution and retail processes, and storing the blocks in a traceability alliance chain;
4) a product consumer conducts tracing information query through a tracing application program, and query records are stored in a tracing union chain;
5) the inheritance robot checks whether the tracing data is within the monitoring configuration parameter range in real time;
6) the platform informs the inheritance robot of the related service subject of the alarm when the traceability data is not in the configuration parameter range of the inheritance robot;
7) alarm records are stored in a traceability federation chain.
The invention has the beneficial effects that:
1. the label is bound with the strong association of the product identity information and effectively and truly acquired, so that the product is prevented from being counterfeited;
2. the design and development of the primary monitoring robot and the inherited monitoring robot are carried out by using an intelligent contract of the block chain, so that the transparent and non-falsification of the monitoring condition of the tracing product is ensured, and the early-finding and early-warning of an abnormal event are ensured;
3. the combination of multidimensional monitoring conditions, from the identity label at the most front end of the traceability, to the acquisition of various monitoring data in the traceability process, and to the final traceability end product to go to and circulate can be monitored by a certain means, thus solving the problems of product counterfeiting, goods fleeing, unclear market condition, overstocked warehouse and the like.
Drawings
FIG. 1 is a flow chart of the main operation of the present invention.
FIG. 2 is a diagram showing the operation of the genetic engineering apparatus of the present invention.
Fig. 3 is a flow chart of the monitoring operation implemented by the present invention.
Detailed Description
The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, is a flow chart of the present invention. In order to solve the problems of easy tampering and deletion of block chain data and lack of intelligent monitoring alarm, the invention mainly realizes the purposes by the steps of setting gene labels and gene equipment, setting monitoring dimensionality, generating continuous relation, tracing, checking, alarming and the like.
The native monitoring robot is a multi-dimensional monitoring intelligent contract generated by a tracing chain native, and the native robot is a multi-dimensional monitoring automation program generated by using a block chain intelligent contract and can inherit and configure specific monitoring parameters of each dimension in a personalized manner.
The inheritance robot is derived from a primary robot, serves different tracing users, and conducts dimension tracing monitoring on tracing products under the service body according to the set monitoring dimension.
And uploading the set monitoring dimension and inheritance relationship, the acquired tracing information and the monitoring alarm information to a tracing chain union.
The inheritance robot generation steps are as follows: 1) establishing a new inheritance robot, and setting service object names, robot names, detailed parameters such as identity, time, space, quantity and the like; 2) confirm the addition and enable; 3) inheriting the information disclosure on the robot attribute encryption chain.
The tracing steps are as follows: 1) the uniqueness of the label is guaranteed by using a gene label technology, and the ID of the label and the basic information of the product are bound to construct verifiable label information; 2) constructing blocks of information data of production, storage, logistics, distribution/distribution and retail processes, and storing the blocks in a traceability alliance chain; 3) and the product consumer conducts tracing information query through the tracing application program, and the query record is added into the tracing block chain.
The checking and alarming steps are as follows: 1) consistency check of the traceability information uploading main body and the inheritance robot service main body: 2) comparing and checking the tracing information with each configuration parameter of the inheritance robot; 3) and if the source tracing data is not in the range of the configuration parameters of the inherited robot, the platform informs the inherited robot of the related service subject of the alarm, and meanwhile, the native robot is in an alarm state.
The inheritance robot and the native robot are in inheritance relationship, the inheritance robot is an intelligent contract for serving personalized requirements of a specific subject, inheritance dimensions include but are not limited to identity, time, space, quantity, logic, perception and the like, and the inheritance robot is synchronized to a traceability union chain once attribute parameter information is generated.
The tracing, the checking and the monitoring alarm are all executed by the inheritance robot, and the generated data information of the tracing, the checking and the monitoring alarm and the like is synchronized to the tracing union chain.
FIG. 2 is a diagram of the workflow process of the genetic apparatus of the present invention, i.e., the hardware side.
Step 1, in a production link, using a gene label to correlate a commodity serial number, and using a special technology to strongly correlate the commodity with the gene label to ensure that the label and the commodity are not divisible, wherein the strongly correlated ensuring means comprises but is not limited to an easy tearing technology, a disassembly prevention technology, a transfer prevention technology, a cloning prevention technology and the like;
step 2, in the production link, using a trusted read-write device to complete the association operation of the commodity serial number and the gene label, and uploading the association relation and related information to a traceability chain;
step 3, reading the gene label information by using a credible reading and writing device in the warehousing and ex-warehousing link to finish the warehousing and ex-warehousing operation of the commodity, and uploading the information related to the warehousing and ex-warehousing operation to a traceability chain;
step 4, reading the gene label information by using a credible reading and writing device in a logistics link to complete logistics operations such as carrying goods in a package, loading goods and unloading goods in a delivery process of goods, and uploading related information of the logistics operations to a traceability chain;
step 5, reading the gene label information by using a credible reading and writing device in a distributed link to acquire the commodity sales environment information, and uploading the distributed related sales market parameters to a traceability chain;
step 6, in the retail link, the credible read-write equipment of the retail site records the sales information and uploads the detailed sales information to a traceability chain; the consumer reads the gene label data through the mobile phone and uploads the equipment information during query to the source tracing chain.
Fig. 3 is a flow chart of the monitoring work implemented by the present invention, which is mainly implemented by the following steps,
step 1, deploying a primary monitoring robot intelligent contract on a block chain;
step 2, the service agent applies for generating an intelligent contract of the inherited monitoring robot on the block chain according to respective requirements, and configures monitoring parameters (namely monitoring threshold values) of all dimensions;
step 3, inheriting the real-time monitoring service main body of the robot from the source tracing related original data (namely monitoring data) generated in the link of the figure 1, if the monitoring data is within a monitoring threshold (exceeds the threshold for alarming), the inheriting monitoring robot normally works without any alarm; if the monitoring data is not in the monitoring threshold (exceeds the threshold for alarming), the monitoring robot is inherited to send alarm information;
and 4, uploading relevant information such as the original alarm monitoring data, the monitoring threshold value and the like to a tracing chain for data fixation.
By adopting the method and the system, the authenticity and reliability of the obtained traceability information can be ensured, the technical problems of product counterfeiting, goods fleeing, unclear responsibility and the like are solved, and meanwhile, the efficiency improvement and the cost control of the traceability system can be ensured.
It is noted that the above description is only a specific implementation step of the present invention, and obviously the present invention is not limited to the above implementation step, and many similar variations follow. All modifications which would occur to one skilled in the art and which are, therefore, directly derived or suggested from the disclosure herein are deemed to be within the scope of the present invention.
Claims (6)
1. A product traceability intelligent robot monitoring and alarming method based on a block chain is characterized by comprising the following six steps:
s1 sets gene signature and gene device: the gene label is an identity label embedded with a gene chip, and the label is associated with a product through special equipment and is used as a unique identifier in a product traceability monitoring process;
the gene equipment is a special equipment for reading gene label information, mainly carries out identity association binding operation of the gene label and a product, and sets the rights of the gene label and the gene equipment;
reporting the information of the gene label, the gene equipment, the identity association binding relationship between the gene label and the product, the ownership of the gene equipment and the like to a tracing chain once the information is set;
s2 sets the monitoring dimension: the native monitoring robot is a tracing chain native multidimensional monitoring intelligent contract, and the service main body applies for deriving respectively required inheritance robots from the native robot and sets detailed parameters of each monitoring dimension in a personalized manner;
s3 generates a continuation relation: the inheritance robot is derived from a primary robot and serves different tracing users, the inheritance robot under the service subject is automatically generated after the setting of all monitoring dimension parameters is completed, and dimension tracing monitoring is carried out on tracing products under the service subject according to the set monitoring dimensions;
s4 tracing: the genetic equipment acquires condition monitoring parameter values on the label at different stages in the product tracing process, and reports the condition monitoring parameter values to a tracing chain together with the various information in the step S1, the information acquisition timestamp of the genetic equipment and the GPS information;
checking by S5: after the data information reported in the step S4 is processed in the background, data reported under monitoring conditions of different dimensions with uniform format, such as original information of identity, time, space, quantity, logic, perception, etc., are formed, and are compared and checked with various monitoring dimension parameters set by the inherited robot;
s6 monitoring alarm: and monitoring and alarming when the verification result is abnormal, reporting the alarm information to a tracing chain, simultaneously presenting the alarm information on a tracing background interface, and informing a service main body in a mode not limited to short messages and mails.
2. The intelligent robot monitoring and alarming method based on block chain tracing as claimed in claim 1, wherein: wherein the native monitoring robot in step S2 has monitoring dimensions including: the system comprises an access device identity dimension, a product information acquisition time, a space dimension, a product quantity dimension, a distribution dimension and a perception dimension, namely, a data result obtained by processing different data acquired by various internet of things devices or comprehensive data in the tracing process can be used as a data target monitored by a native robot.
3. The intelligent robot monitoring and alarming method based on block chain tracing as claimed in claim 1, wherein: wherein the primary robot in step S2 is associated with the legacy robot: the inheritance robot is an intelligent contract program which adjusts and inherits the monitoring parameters of the native robot only in order to meet the individual requirements of different service subjects.
4. The intelligent robot monitoring and alarming method based on block chain tracing as claimed in claim 1, wherein: wherein the monitoring result feedback of the primary monitoring robot in the step S2 is as follows: the native robot is informed of the alarm result under the condition of inheriting the monitoring of the robot and is displayed on the monitoring page of the native robot.
5. The intelligent robot monitoring and alarming method based on block chain tracing as claimed in claim 1, wherein: the working steps of the inheritance robot in the step S3 are as follows:
1) setting generation: different service bodies apply for opening the inherited robot service on the platform, various monitoring dimension parameters mentioned in the native robot are set independently according to respective requirements, generation is confirmed after setting is completed, and contract parameters are linked;
2) monitoring is started: after the inheritance robot is generated, monitoring is carried out on tracing product data under a service subject immediately after clicking starting, and the generated tracing data is stored in a tracing union chain;
3) monitoring and alarming: if the tracing data is not within the set monitoring threshold, the inheritance robot can send an alarm notice, and the alarm mode can be carried out in various modes such as platform interface alarm, short message, mail and the like so as to ensure that a service subject can immediately receive alarm information and carry out emergency treatment; the generated alarm data is stored in a traceability federation chain.
6. The intelligent robot monitoring and alarming method based on block chain tracing as claimed in claim 1, wherein: the comprehensive implementation process of the tracing, verifying and monitoring alarming steps is as follows:
1) associating the product with a tag ID using the gene tag;
2) generating a inheritance robot, and configuring the identity of hardware equipment related to a service subject and monitoring parameters;
3) constructing blocks of information data of production, storage, logistics, distribution/distribution and retail processes, and storing the blocks in a traceability alliance chain;
4) a product consumer conducts tracing information query through a tracing application program, and query records are stored in a tracing union chain;
5) the inheritance robot checks whether the tracing data is within the monitoring configuration parameter range in real time;
6) the platform informs the inheritance robot of the related service subject of the alarm when the traceability data is not in the configuration parameter range of the inheritance robot;
7) alarm records are stored in a traceability federation chain.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111339196A (en) * | 2020-02-24 | 2020-06-26 | 深圳点链科技有限公司 | Data processing method and system based on block chain and computer readable storage medium |
| CN111352968A (en) * | 2020-02-28 | 2020-06-30 | 杭州云象网络技术有限公司 | Intelligent manufacturing element identification method based on block chain network |
| CN114968258A (en) * | 2022-06-09 | 2022-08-30 | 中国人民解放军国防科技大学 | Code tracing-oriented clone code inheritance relationship determination method, system and medium |
-
2019
- 2019-10-16 CN CN201910981580.XA patent/CN110728530A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111339196A (en) * | 2020-02-24 | 2020-06-26 | 深圳点链科技有限公司 | Data processing method and system based on block chain and computer readable storage medium |
| CN111352968A (en) * | 2020-02-28 | 2020-06-30 | 杭州云象网络技术有限公司 | Intelligent manufacturing element identification method based on block chain network |
| CN111352968B (en) * | 2020-02-28 | 2023-09-29 | 杭州云象网络技术有限公司 | Intelligent manufacturing element identification method based on blockchain network |
| CN114968258A (en) * | 2022-06-09 | 2022-08-30 | 中国人民解放军国防科技大学 | Code tracing-oriented clone code inheritance relationship determination method, system and medium |
| CN114968258B (en) * | 2022-06-09 | 2024-08-20 | 中国人民解放军国防科技大学 | Code tracing-oriented clone code inheritance relationship judging method, system and medium |
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