CN116703423A

CN116703423A - Data information consistency verification method, device and storage medium

Info

Publication number: CN116703423A
Application number: CN202210178604.XA
Authority: CN
Inventors: 张帆; 左扬农; 李铎; 张烨; 罗硕伟
Original assignee: Liuliuyun Chain Technology Ningbo Co ltd
Current assignee: Liuliuyun Chain Technology Ningbo Co ltd
Priority date: 2022-02-25
Filing date: 2022-02-25
Publication date: 2023-09-05

Abstract

The method comprises the steps of uploading received sensor information and/or document information of a target product to a blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user; obtaining a verification request aiming at a target product, wherein the verification request comprises consistency verification of product information of the target product; acquiring sensor information and/or document information of the target product from the blockchain according to the verification request; determining whether the product information indicated in the sensor information and/or the document information is consistent. According to the embodiment of the application, an effective and credible data information consistency verification method can be realized, and the authenticity of goods delivery is ensured.

Description

Data information consistency verification method, device and storage medium

Technical Field

The disclosure relates to the technical field of internet of things, and in particular relates to a data information consistency verification method, a data information consistency verification device and a storage medium.

Background

In a supply chain scenario, there is a large amount of data information of bulk cargos to be managed, in the prior art, a centralized storage and management method is generally used, a designated central administrator manages the data information, in a multi-party cooperative supply chain scenario, if one party performs malicious tampering on the data information, the prior art cannot be used for tracing, in this case, the consistency of the data information is difficult to verify, and therefore, the rights of the bulk cargos cannot be confirmed, so that an effective and reliable data information consistency verification method is needed.

Disclosure of Invention

In view of this, the present disclosure proposes a data information consistency check method, apparatus, and storage medium.

According to an aspect of the present disclosure, there is provided a data information consistency check method, including: uploading the received sensor information and/or document information of the target product to a blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user; obtaining a verification request aiming at a target product, wherein the verification request comprises consistency verification of product information of the target product; acquiring sensor information and/or document information of the target product from the blockchain according to the verification request; determining whether the product information indicated in the sensor information and/or the document information is consistent.

According to the embodiment of the application, the received sensor information and/or document information of bulk goods are uploaded to the blockchain every preset time, so that continuous trusted monitoring of the target product can be realized, the problem information can be determined in time, the problem information is traced, the information of the target product obtained from the blockchain is subjected to consistency check, and the obtained information is information on the blockchain in a multi-way uploading manner, so that the information of the target product can be multi-dimensional, cross verification or evidence is carried out, whether the information of the target product is consistent or not can be better confirmed, the authenticity of the target product is ensured, tamper resistance and traceability of the target product information in a multi-party cooperative supply chain scene can be realized, and a foundation is provided for subsequent rights confirmation, transaction, mortgage, supervision and the like of the target product.

In one possible implementation, the bulk cargo is of any one of a liquid, a solid, and a gas.

Therefore, continuous credible monitoring can be carried out on various bulk cargoes, and tamper resistance and traceability of product information are realized.

In one possible implementation, the product information includes at least one of a level, a volume, and a weight of the target product.

Therefore, consistency verification can be carried out on different product information according to the needs, and the method is flexible.

In one possible implementation, determining whether the product information indicated in the sensor information and/or the document information is consistent includes: respectively determining whether the product information indicated by at least one of account information, real memory information and check memory information of the target product is consistent; the account information indicates product information of the target product on an account, the check information indicates product information of the target product when the target product is checked by a third party, the real storage information indicates actual product information of the target product, the account information and the check information are determined according to the document information, and the real storage information is determined according to the sensor information.

According to the embodiment of the application, whether the information of the target product is consistent or not can be verified from different angles by respectively determining whether the product information indicated by at least one of account information, real information and check information is consistent or not, and meanwhile, the source of the problem information can be positioned more quickly by respectively determining whether the product information indicated by the account information, the real information and the check information is consistent or not, so that the source can be traced in time under the condition that the problem information exists.

In one possible implementation, determining whether the product information indicated in the sensor information and/or the document information is consistent further includes: determining whether the product information indicated by at least two of account information, real information and check information of the target product is consistent with each other.

According to the embodiment of the application, by determining whether the account information, the real memory information and the checking memory information of the target product are consistent with each other or not, the information at different angles can be cross-verified or verified with each other, so that whether the information of the target product is consistent or not can be reflected more truly, and the authenticity of the target product can be determined.

In one possible implementation, the sensor information includes: at least one of liquid sensor information, temperature sensor information, flow sensor information, valve sensor information, scale sensor information, global Positioning System (GPS) sensor information; the document information includes: at least one of a warehouse entry bill, a warehouse exit bill, a warehouse entry plan bill, a warehouse entry bill, an invoice, a purchase and sale contract, a business check report and a customs clearance record.

According to the embodiment of the application, the consistency verification of the data information of the products can be realized by acquiring the information of the target products with different dimensions, for example, the consistency verification of the data information of the products with liquid types can be better realized by utilizing the information of the liquid sensor, the information of the temperature sensor, the information of the flow sensor, the information of the valve sensor and the like, so that the authenticity of the products is better ensured, and the tracing of the source when the problem data exists can be realized.

In one possible implementation manner, the account information is determined according to at least one of a warehouse entry order, a warehouse exit order, a warehouse entry plan, a warehouse exit plan, an invoice, a purchase and sale contract and a business check report; the checking information is determined according to at least one of invoice, purchase and sale contract, business check report and customs clearance record; the actual storage information is determined according to at least one of liquid sensor information, temperature sensor information, flow sensor information, valve sensor information and scale sensor information.

According to the embodiment of the application, the consistency check of the information of the target product from different angles can be realized, so that the authenticity of the target product is better ensured.

In one possible implementation, the sensor information and/or the document information of the target product is associated with track information of a corresponding carrier, which is determined according to the indication of the sensor information.

Therefore, the information of the target product can be monitored by taking the carrier as a unit, and the binding of the information of the target product and the track information of the carrier is realized, so that the problem data can be positioned and traced more efficiently.

In one possible implementation manner, the verification request further includes performing consistency verification on logistics transportation information of the target product, where the logistics transportation information includes a logistics transportation track of the target product, and the method further includes: and determining whether the logistics transportation information indicated in the sensor information and/or the document information is consistent, wherein the logistics transportation information indicated by the sensor information comprises track information of a carrier.

According to the embodiment of the application, the problem information of the target product in the logistics transportation process can be traced through consistency verification of the logistics transportation information of the target product, and the target product is prevented from being exchanged, so that the authenticity of the target product is better ensured.

In one possible implementation, determining whether the logistic transportation information indicated in the sensor information and/or the document information is consistent includes: determining whether the physical distribution transportation track information of the target product and the physical distribution transportation information indicated by the planned physical distribution transportation track information are consistent with each other; the actual logistics transportation track information is determined according to GPS sensor information, and the planned logistics transportation track information is determined according to at least one of a warehouse entry order, a warehouse exit order, a warehouse entry order, a warehouse exit order and a logistics commission order.

According to the embodiment of the application, whether the actual logistics transportation track information of the target product and the logistics transportation information indicated by the planned logistics transportation track information are consistent with each other or not is determined, so that the target product can be prevented from yawing in the logistics transportation process, and the target product can be rapidly positioned to the track point when a problem exists in the logistics transportation process, and the problem data is traced, so that the authenticity of the target product is ensured.

According to another aspect of the present disclosure, there is provided a data information consistency check apparatus including: the uploading module is used for uploading the received sensor information and/or document information of the target product to the blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user; the first acquisition module is used for acquiring a verification request aiming at a target product, wherein the verification request comprises consistency verification of product information of the target product; the second acquisition module is used for acquiring sensor information and/or document information of the target product from the blockchain according to the verification request; and the first determining module is used for determining whether the product information indicated in the sensor information and/or the document information is consistent or not.

In one possible implementation, the first determining module includes: respectively determining whether the product information indicated by at least one of account information, real memory information and check memory information of the target product is consistent; the account information indicates product information of the target product on an account, the check information indicates product information of the target product when the target product is checked by a third party, the real storage information indicates actual product information of the target product, the account information and the check information are determined according to the document information, and the real storage information is determined according to the sensor information.

In one possible implementation manner, the first determining module further includes: determining whether the product information indicated by at least two of account information, real information and check information of the target product is consistent with each other.

In one possible implementation manner, the verification request further includes performing consistency verification on logistics transportation information of the target product, where the logistics transportation information includes a logistics transportation track of the target product, and the apparatus further includes: and the second determining module is used for determining whether the logistics transportation information indicated in the sensor information and/or the document information is consistent, and the logistics transportation information indicated by the sensor information comprises track information of the carrier.

In one possible implementation, the second determining module includes: determining whether the physical distribution transportation track information of the target product and the physical distribution transportation information indicated by the planned physical distribution transportation track information are consistent with each other; the actual logistics transportation track information is determined according to GPS sensor information, and the planned logistics transportation track information is determined according to at least one of a warehouse entry order, a warehouse exit order, a warehouse entry order, a warehouse exit order and a logistics commission order.

According to another aspect of the present disclosure, there is provided a data information consistency check apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the above-described method.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 shows a schematic view of an application scenario according to an embodiment of the application.

Fig. 2 shows a flow chart of a data information consistency check method according to an embodiment of the application.

Fig. 3 shows a flow chart of a data information consistency check method according to an embodiment of the application.

Fig. 4 shows a flow chart of a data information consistency check method according to an embodiment of the application.

Fig. 5 shows a block diagram of a data information consistency check apparatus according to an embodiment of the present application.

Fig. 6 is a block diagram illustrating a data information consistency check apparatus according to an embodiment of the present application.

Detailed Description

Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.

The establishment and transfer of the rights to real properties according to the act 224 of civil law, efficacy from delivery occurs unless otherwise specified by law. The related method related to the present disclosure is to fulfill the requirements of cargo delivery in a delivery scenario of legal requirements, thereby fulfilling the establishment and transfer requirements of real estate rights.

Fig. 1 shows a schematic view of an application scenario according to an embodiment of the application. The data information consistency verification method of an embodiment of the application can be used for confirming the rights of bulk goods (usually bulk goods) in the process of storing and transporting the bulk goods in a multi-party cooperative supply chain scene and tracking the changes of the rights of the goods in real time. For example, in the case of storing and transporting products in the petroleum industry, related information in the transportation process of bulk cargoes can be continuously acquired and uploaded to a blockchain, when the rights of the cargoes need to be confirmed and traced, the related information can be acquired from the blockchain, whether the data information has consistency is checked, and under the condition that consistency is confirmed, the information can be considered to be truly and credible, so that the verification of the right delivery information of the cargoes on each node of the storage and transportation can be realized, and the identification basis of the right of the products is provided for each party participating in the transaction of the cargoes.

Due to the presence of multiple parties, the data information may be obtained through different channels, and as shown in fig. 1, the data information may be divided into sensor information and document information. The document information may be a supporting document for certifying the attribution of the rights of the product, and the physical characteristics and the rights information of the bulk goods may be verified through the sensor information and the document information. Wherein, the document information may include: the sensor information may include at least one of liquid sensor information, temperature sensor information, flow sensor information, valve sensor information, scale sensor information, global positioning system (global positioning system, GPS) sensor information for the liquid product.

In one possible implementation, in the document information, the warehouse entry order, the warehouse exit order, the warehouse entry plan, and the warehouse exit plan may be provided by a warehouse area, the logistics order, the waybill, the invoice, the purchase and sale contract, the business check report, and the customs clearance may be provided by a cargo owner, the business check report may be provided by a third party measurement mechanism, and the customs clearance may be provided by a customs clearance. The inventory may include the name, weight, location after inventory (e.g., which storage tank was entered), information about the principal, the ID of the associated upstream manifest, and the inventory may include the name, weight, location after inventory (e.g., which storage tank was entered), information about the principal, the ID of the associated upstream planning manifest; the warehousing plans may include the name, weight, location after the warehousing is expected, information about the principal, and ID of the associated upstream planning waybill; the delivery plan may include the name, weight, post-delivery location, information about the principal, and ID of the associated upstream waybill of the product that was delivered; the logistics order may include upstream bill information, product information confirmed by the warehouse area at the time of warehouse entry (e.g., including product name, weight); the invoice and purchase-sale contracts may include product information (e.g., including product name, weight), shipping price, which are confirmed by the consignee and the shipper; the merchant report may include product information (e.g., including product weight) confirmed at the time of the merchant, and in one possible implementation, payment credentials; the customs clearance record may include product information (e.g., including product weight) confirmed at customs clearance.

In the sensor information, the related information may be collected by a corresponding sensor, for example, the liquid sensor information may be collected by a liquid sensor, the liquid sensor may be disposed on the storage tank, and the liquid sensor information may include fluctuation information of the height and the liquid level of the liquid; the temperature sensor information can be collected by a temperature sensor, the temperature sensor can be arranged on the storage tank, the temperature sensor information can comprise the temperature of liquid, and the weight of the liquid can be determined according to the height, the temperature, the known liquid density and the millimeter volume meter of the liquid; the flow sensor information may be collected by a flow sensor, the flow sensor may be disposed on a pipeline from the storage area to a storage tank of a vehicle (e.g., a car, a ship, a train, an airplane, etc.) transporting the product, and the flow sensor information may include a volume of liquid exiting from the storage area and a volume of liquid (i.e., flow variation information of the liquid) entering from the vehicle; the valve sensor information can be collected by a valve sensor (or an electric control valve), the valve sensor can be arranged on an electronic valve of a storage area pipeline, and the valve sensor information can comprise the switching state of a corresponding valve; the scale sensor information may be collected by a scale sensor, which may be disposed at a doorway of a storage area, and may include loading and unloading weights of a carrier transporting the product; the GPS sensor information may be collected by a GPS sensor, which may be disposed on a vehicle (e.g., car, ship, train, plane, etc.) transporting the product, and the GPS sensor information may include location information of the corresponding vehicle.

The sensor information can be acquired by using the internet of things system and stored in the server, and the document information can be uploaded to the internet of things system and stored in the server through a related management system, wherein the management system can be, for example, a warehouse management system (warehouse management system, WMS), a transportation management system (transportation management system, TMS) and the like, and the application is not limited to this, and the document information can be published to the blockchain after the data information stored in the server is standardized. Therefore, the method can acquire the related data information of the product from multiple dimensions, and provide basis for consistency verification, so that the rights of the product can be confirmed. In one possible implementation, the sources of such sensor information and/or document information may also be published to the blockchain, whereby after problem data is discovered, the problem data may be traced to reconfirm the ownership of the product. For example, in the process of transporting bulk cargoes, according to the logistics transportation track of the corresponding carrier uploaded to the blockchain, which is acquired at intervals of a stipulated time (for example, 30 s), so as to carry out consistency check on the logistics transportation information of the bulk cargoes on the carrier, determining whether problem data exist in the process of transporting the bulk cargoes, and providing a basis for changing rights of the bulk cargoes; after the bulk cargo arrives at the warehouse, the document information of the bulk cargo uploaded to the blockchain can be acquired, whether the information indicated in the real storage, account storage and checking storage information of the bulk cargo is consistent with each other or not is determined, and a basis is provided for changing rights of the bulk cargo.

The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. Blockchains are generally divided into three types: public chains (public blockchain), private chains (private blockchain) and federated chains (consortium blockchain). In addition, there are many types of combinations, such as different combinations of private chain+federation chain, federation chain+public chain, and the like. The blockchain in embodiments of the present application may include any type of blockchain network, for example, any one or a combination of any number of common chains, private chains, or federated chains may be employed.

The method for checking the consistency of the data information according to the embodiment of the present application will be described with reference to fig. 2 to 3, in which fig. 2 illustrates a method for checking the consistency of the data information by referring to the check of the consistency of the logistics transportation information of the target product, and fig. 3 illustrates a method for checking the consistency of the data information by referring to the check of the consistency of the product information of the target product.

Fig. 2 shows a flow chart of a data information consistency check method according to an embodiment of the application. As shown in fig. 2, the method includes:

Step S201, the received data information of the target product is uploaded to the blockchain every preset time.

The target product can be bulk goods, and the bulk goods cannot be checked for product information by using a radio frequency tag technology in the storage and transportation process. The target product may include liquid products such as petroleum, alcohol, beverages, mineral water, etc., products converted from a gaseous or solid state to a liquid state for storage, and products in a gaseous or solid state such as ores, scrap iron, etc.

The data information of the target product may include document information and/or sensor information of the target product, for example, the received data information of the target product may be uploaded to the blockchain every 15 seconds, so that the continuous data information of the target product may be stored in the blockchain, in a possible implementation manner, in a unit of a carrier (for example, a car, a ship, an airplane, etc.) during transportation, the data information of the target product may be received, and the data information of the target product on one carrier may be bound with track information in the corresponding sensor information (corresponding to track information corresponding to the carrier), for example, the track collected by the GPS sensor may be bound with track information in the corresponding sensor information of the target product on one carrier, and uploaded to the blockchain, and after the target product arrives at the warehouse, the data information of the target product may be received in units of a storage tool (for example, a storage tank, etc.) and uploaded to the blockchain, in a unit of bulk cargo may be divided, and in a unit of a bulk cargo may be transported, the data information of the target product on one carrier may be bound with track information of the corresponding sensor information of the target product on the carrier may be bound with track information of the corresponding carrier on the carrier.

Step S202, according to the acquired data information consistency check request for the target product, acquiring the data information related to the target product from the blockchain.

In one possible implementation, a data information consistency check request for the target product may be generated to verify the data information consistency of the current target product, preventing the target product from being handled and stolen privately, if the data information of the target product is not received beyond a predetermined time threshold. The consistency check result can provide basis for the identification of the rights of the target product.

In one possible implementation manner, the data information consistency check request for the target product can be generated at any time according to the requirement so as to determine the data information consistency of the current target product, thereby determining the ownership information of the current target product. During transportation, the data information consistency check request may include a request for consistency check of logistics transportation information of the target product, so as to determine whether actual logistics track information and planned logistics transportation route information are consistent. In a possible implementation manner, in the transportation process, whether the information about the carrier (including driver information and the like), the information about the target product, the information about the delivery object of the target product and the like correspond to each other or not can be determined, so that a basis can be better provided for identifying the rights of the target product. The related data information can be obtained from the blockchain to ensure that the related data is reliable and credible. In one possible implementation manner, the source of the related data information can also be uploaded on the blockchain for verification, so that the rights attribution and physical characteristics of the target product can be traced, and therefore, when the data information with problems is verified, the source party of the problems can be traced. The following describes the process of checking the consistency of the logistics transportation information of the target product through steps S203 to S205.

Step S203, determining the actual logistics track information of the target product according to the GPS sensor information.

For example, the actual logistics transportation track information of the target product can be determined through the position change of the carrier acquired by the GPS sensor.

Step S204, the planned logistics transportation track information of the target product is determined according to at least one of the warehouse entry order, the warehouse exit plan order, the logistics commission order.

The determined planned logistics transportation track information of the target product can comprise a departure place, a destination, a stopped place, a planned transportation route and the like of the target product.

In one possible implementation, the planned logistics transportation track information for determining the target product can be identified from the above information through natural language understanding techniques and/or computer vision techniques.

Step S205, whether the actual logistics transportation track information of the target product is consistent with the planned logistics transportation track information is determined, and if so, the data information of the target product is determined to be consistent.

For example, when the actual logistics transportation trajectory of the target product is the planned transportation route in the planned logistics transportation trajectory information or the shortest path from the departure point to the destination, it may be determined that the actual logistics transportation trajectory information of the target product and the planned logistics transportation trajectory information coincide.

Taking a ship as an example, because the ship height of the ship cannot exceed the limit height of a bridge of a inland river, and the ship cannot travel a shallower river channel when the ship is at a deeper draft, the ship can also judge whether the actual logistics transportation track is correct and reasonable on the basis of the limit factors, and determine that the actual logistics transportation track information of the target product is consistent with the planned logistics transportation track information on the basis of the correct track.

After the target product is transported to the warehouse, the ownership of the target product stored in the warehouse can also be determined by carrying out consistency check on product information (including real memory, account memory, check memory information and the like) of the target product. The process may be referred to in fig. 3, and fig. 3 shows a flowchart of a data information consistency check method according to an embodiment of the present application. As shown in fig. 3, the method includes:

step S301, according to the acquired data information consistency check request for the target product, acquiring the data information related to the target product.

The data information consistency verification request may include a request for consistency verification of product information of a target product, for example, a request for consistency verification of type, liquid level, volume, density and weight information of the target product, by performing consistency verification of the product information, whether data recorded on each document information of the product information of the corresponding target product in the storage tool are consistent and whether data of actually collected sensor information are consistent can be determined, whether data recorded on each document information of the product information and data of actually collected sensor information are consistent can be determined, and in case of inconsistency, tracing can be performed by locating document information and/or sensor information inconsistent with other information to determine a source of problem information.

The consistency check can be performed first by respectively corresponding to the real storage information, account storage information and check storage information corresponding to the product information. The actual storage information may include at least one of sensor information, the account storage information may include at least one of a warehouse entry bill, a warehouse exit bill, an invoice, a purchase and sale contract, and a business check report, and the check storage information may include at least one of an invoice, a purchase and sale contract, a business check report, and a customs clearance record in the document information. That is, it is possible to first check whether or not the data recorded or detected by each of the three pieces of information are identical, and then check the consistency of at least two of the account information, the real information, and the check information with each other, that is, to determine whether or not the data recorded or collected between the three pieces of information are identical. This process is described below by steps S302-S305.

Step S302, determining whether the actual storage information of the target product is consistent or not according to the acquired sensor information.

The actual storage information of the target product can represent the actual product information of the target product, and can be obtained through the sensor information actually collected by the sensor.

For example, when consistency verification is required for weight information of a target product of a liquid type, the liquid level of the target product in the storage tank can be determined according to the information of the liquid sensor, the volume of the target product is determined by combining a millimeter volume table corresponding to the storage tank, and then the weight of the target product is determined by combining the density of the target product; the weight of the target product when the platform scale enters and exits can be determined according to the sensor information of the platform scale; the weight of the target product when the storage tank is transported to the carrier from the warehouse area can be determined according to the valve sensor information and the flow sensor information, for example, the volume of the target product entering or exiting the warehouse can be determined by combining the flow change of the flow sensor and the opening and closing time of the valve, and the weight of the target product can be determined by combining the density of the product. The identity of the stored information of the target product may be determined if the weight of the at least one target product determined as described above is equal or the weight error does not exceed a predetermined threshold (e.g., 1%), otherwise the identity of the stored information may be considered inconsistent. For another example, when the consistency check needs to be performed on the weight information of the solid type target product, for example, for the massive ore, the weight of the target product when the target product enters and exits from each logistics node can be determined through a scale sensor, for example, the weight of the target product when the last logistics node exits from the warehouse and the weight of the target product when the next logistics node enters from the warehouse can be compared. If the weights are equal or the weight error does not exceed a predetermined threshold (e.g., 1%), the actual information of the target product is determined to be consistent, otherwise, the actual information may be considered to be inconsistent.

For example, when the consistency check is required to be performed on the volume information of the target product of the liquid type, the volume of the target product in storage or delivery can be determined according to the liquid level fluctuation in the liquid sensor information and the valve opening and closing in the valve sensor information, and whether the volume of the target product in storage or delivery is consistent with the volume of the target product in storage or delivery determined according to the liquid level change of the storage tank acquired by the liquid sensor is checked.

For another example, when the consistency check needs to be performed on the flow rate information of the liquid type target product, it may also be determined whether the collected liquid level fluctuation in the liquid sensor information is consistent with the collected liquid flow rate fluctuation in the flow rate sensor information.

For example, when the consistency check needs to be performed on the flow information of the liquid type target product, whether the temperature information change acquired in the temperature sensor information is consistent with the determined density of the target product or not can be determined, and under the condition that the temperature information change is consistent with the determined density of the target product, the consistency of the density of the target product can be confirmed.

Under the condition that the real storage information is inconsistent, the problem information can be traced.

Step S303, determining whether account information of the target product is consistent according to at least one of the acquired warehouse entry bill, warehouse exit plan bill, invoice, purchase and sale contract and business inspection report.

The account information of the target product can represent product information stored in the account of the target product, and the account information can be recorded on at least one of a warehouse entry bill, a warehouse exit bill, a warehouse entry plan bill, a warehouse exit plan bill, an invoice, a purchase and sale contract and a business check report.

When the consistency check needs to be performed on the weight information of the target product, the account information of the target product can be weight information directly recorded in the account information, the weight information can also be obtained through other information derivation, for example, for a liquid type target product, the volume information of the target product can be determined through the information recorded in the account information, and then the density of the product is combined. At least one piece of weight information determined on at least one of the warehouse entry bill, the warehouse exit bill, the invoice, the purchase and sale contract and the business check report can be checked, namely whether the weight information is consistent or not is checked, and if the weight of at least one target product determined in the bill information is equal or the weight error does not exceed a preset threshold (for example, 1%), account information of the target product can be determined to be consistent, otherwise, the account information can be considered to be inconsistent.

For example, when the consistency check is required for the volume information of the target product of the liquid type, the account information of the target product may be volume information directly recorded in the account information, the volume information may also be derived from other information, for example, the volume information may be obtained by combining the liquid level change of the storage tank recorded during the storage and the millimeter volume table corresponding to the storage tank, at this time, a volume value may be obtained by the storage order and the delivery order, and at least one volume information determined on at least one of the storage order, the delivery order, the invoice, the purchase-sale contract, and the business check report may be checked, that is, whether the volume information is consistent or not, and when the volume of at least one target product determined from the respective document information is equal or the volume error does not exceed a predetermined threshold (for example, 1%), the account information of the target product may be determined to be consistent, otherwise, the account information may be considered to be inconsistent.

Under the condition that account information is inconsistent, the problem information can be traced.

Step S304, determining whether the checking information of the target product is consistent according to at least one of the acquired invoice, purchase and sale contract, business check report and customs clearance record.

The inspection information of the target product may represent product information of the target product when the target product is inspected by a third party (such as a business inspection agency, customs, etc.), and the inspection information may be recorded on at least one of an invoice, a purchase-sale contract, a business inspection report, and a customs clearance record.

For example, when the weight information of the target product needs to be checked for consistency, at least one piece of weight information determined on at least one of the invoice, the purchase-sale contract, the business check report, and the customs clearance record may be checked, that is, whether the weight information is consistent, and if the weight of at least one target product determined from the respective pieces of the above-mentioned pieces of the evidence information is equal or the weight error does not exceed a predetermined threshold (for example, 1%), the check information of the target product is determined to be consistent, otherwise, the check information may be considered to be inconsistent.

For another example, when it is necessary to verify consistency of volume information of the target product of the liquid type, it is possible to verify that at least one of volume information determined on at least one of the invoice, purchase-sale contract, business check report, customs clearance record, that is, to verify whether or not these volume information are consistent, and if the volume of at least one target product determined from each of the above-mentioned document information is equal or the volume error does not exceed a predetermined threshold (for example, 1%), it is determined that the check information of the target product is consistent, otherwise, it is possible to consider that the check information is inconsistent.

Under the condition that the detected information is inconsistent, the problem information can be traced.

Through respectively carrying out consistency check on three dimensions of account information, real memory information and check memory information of a target product, whether problem information exists can be determined in a finer granularity, and when the problem information exists, the problem information can be positioned and traced more quickly.

Step S305, determining whether at least two of account information, real information and check information of the target product are consistent with each other, and if so, determining that the data information of the target product has consistency.

After checking the account information, the real information and the check information of the target product respectively, it may be checked whether the three information have consistency with each other, in one possible implementation manner, whether any two of the three information are consistent with each other, for example, whether the account information and the real information are consistent with each other, or whether all three information are consistent with each other.

For example, when the weight information of the target product needs to be checked for consistency, the weight of the target product determined by at least one of the account information, the real information and the check information may be compared, for example, the weights of three target products may be determined by the account information, the real information and the check information, respectively, and if the weights of the three target products are equal or the weight error does not exceed a predetermined threshold (for example, 1%), the data information of the target products may be determined to be consistent, otherwise, the data information may be considered to be inconsistent. It is also possible to check only whether or not the real storage weight in the real storage information, the real storage weight in the storage tank, and the account storage weight in the storage tank agree with each other. Or only checking whether the weight of the actual change determined according to the fluctuation of the liquid level of the warehouse-out/warehouse-in the actual storage information and the weight of the planned change recorded on the warehouse-out/warehouse-in plan sheet in the account storage information are consistent with each other.

For another example, when the consistency check is required to be performed on the volume information of the target product, the volumes of the target products determined by at least one of the account information, the real information and the check information may be compared, for example, the volumes of three target products may be determined by the account information, the real information and the check information, respectively, and if the volumes of the three target products are equal or the volume error does not exceed a predetermined threshold (for example, 1%), the data information of the target products may be determined to be consistent, otherwise, the data information may be considered to be inconsistent.

Therefore, whether the data information of the target product has consistency or not can be determined from three dimensions, so that the result is more credible.

Under the condition that the data information is inconsistent, the problem information can be traced, so that the source side of the problem information can be accurately positioned, and the tracing result is reliable, so that subsequent processing measures can be timely taken. Fig. 4 shows a flow chart of a data information consistency check method according to an embodiment of the application. The method is used for the server of the internet of things, as shown in fig. 4, and comprises the following steps:

step S401, uploading the received sensor information and/or document information of the target product to a blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user;

Step S402, a verification request for a target product is obtained, wherein the verification request comprises consistency verification of product information of the target product;

step S403, according to the verification request, acquiring sensor information and/or document information of the target product from the blockchain;

step S404, determining whether the product information indicated in the sensor information and/or the document information is consistent.

An example of step S401 may be referred to as step S201 in fig. 2, an example of step S402 to step S403 may be referred to as step S301 in fig. 3, and an example of step S404 may be referred to as the relevant description in step S302 to step S305 in fig. 3.

In one possible implementation, the type of bulk cargo is any one of liquid, solid, gas.

An example of determining whether the product information indicated by the account information of the target product is consistent may be referred to in step S303 of fig. 3, an example of determining whether the product information indicated by the real information of the target product is consistent may be referred to in step S302 of fig. 3, and an example of determining whether the product information indicated by the check information of the target product is consistent may be referred to in step S304 of fig. 3.

An example of the above-described process can be seen in step S305 in fig. 3.

The present application is not limited to the sources of the account information, the real information, and the check information, and may be determined by information other than the above.

The track information of the corresponding carrier can be track information acquired through a GPS sensor, the target products can be stacked, and a plurality of stacked target products can be transported through the corresponding carrier.

Examples of the above-described processes can be found in the relevant descriptions in step S202 to step S205 in fig. 2.

Examples of the above-described processes can be found in the relevant descriptions in step S203 to step S205 in fig. 2.

Fig. 5 shows a block diagram of a data information consistency check apparatus according to an embodiment of the present application. As shown in fig. 5, the apparatus includes:

the uploading module 501 is configured to upload, to the blockchain, the received sensor information and/or document information of the target product every predetermined time, where the target product is bulk cargo, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user;

a first obtaining module 502, configured to obtain a verification request for a target product, where the verification request includes consistency verification of product information of the target product;

a second obtaining module 503, configured to obtain, according to the verification request, sensor information and/or document information of the target product from the blockchain;

A first determining module 504 is configured to determine whether the sensor information and/or the product information indicated in the document information are consistent.

In one possible implementation manner, a data information consistency checking device is provided, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.

In one possible implementation, a non-transitory computer readable storage medium is provided, having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.

Fig. 6 is a block diagram illustrating a data information consistency check apparatus according to an embodiment of the present application. As shown in fig. 6, the data information consistency check apparatus 600 may include a processor 601 and a transceiver 602. Optionally, the data information consistency check means 600 may comprise a memory 603. Wherein the processor 601 is coupled to the transceiver 602 and the memory 603, e.g. connectable through a communication bus.

The respective constituent elements of the data information consistency check apparatus 600 will be specifically described below with reference to fig. 6.

The processor 601 is a control center of the data information consistency check apparatus 600, and may be one processor or a plurality of processing elements. For example, processor 601 is one or more central processing units (central processing unit, CPU), but may also be an integrated circuit specific (application specific integrated circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as: one or more microprocessors (digital signal processor, DSPs), or one or more field programmable gate arrays (field programmable gate array, FPGAs).

Alternatively, the processor 601 may perform various functions of the data information consistency check apparatus 600 by running or executing a software program stored in the memory 603 and invoking data stored in the memory 603.

In a particular implementation, the processor 601 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 6, as an embodiment.

In one possible implementation, the data information consistency check device 600 may also include a plurality of processors, such as the processor 601 and the processor 604 shown in fig. 6. Each of these processors may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). A processor herein may refer to one or more communication devices, circuitry, and/or processing cores for processing data (e.g., computer program instructions).

The transceiver 602 is used for communication with other devices.

Alternatively, transceiver 602 may include a receiver and a transmitter (not separately shown in fig. 6). The receiver is used for realizing the receiving function, and the transmitter is used for realizing the transmitting function.

Alternatively, the transceiver 602 may be integrated with the processor 601 or may exist separately and be coupled to the processor 601 through an input/output port (not shown in fig. 6) of the data information consistency check device 600.

The above memory 603 may be used to store a software program for executing the solution of the present application, and the processor 601 controls the execution of the software program, and the specific implementation may refer to the above method embodiment, which is not described herein again.

The memory 603 may be, but is not limited to, a read-only memory (ROM) or other type of static storage communication device capable of storing static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage communication device capable of storing information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage communication device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. It should be noted that the memory 603 may be integrated with the processor 601, or may exist separately, and be coupled to the processor 601 through an input/output port (not shown in fig. 6) of the autopilot device 600.

It should be noted that the structure of the data information consistency check apparatus 600 shown in fig. 6 does not constitute a limitation on the implementation of the data information consistency check apparatus, and an actual data information consistency check apparatus may include more or less components than illustrated, or may combine some components, or may be a different arrangement of components.

The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.

Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowcharts 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 disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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.

The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for verifying consistency of data information, the method comprising:

uploading the received sensor information and/or document information of the target product to a blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user;

obtaining a verification request aiming at a target product, wherein the verification request comprises consistency verification of product information of the target product;

acquiring sensor information and/or document information of the target product from the blockchain according to the verification request;

Determining whether the product information indicated in the sensor information and/or the document information is consistent.

2. The method of claim 1, wherein determining whether the product information indicated in the sensor information and/or the document information is consistent comprises:

respectively determining whether the product information indicated by at least one of account information, real memory information and check memory information of the target product is consistent;

the account information indicates product information of the target product on an account, the check information indicates product information of the target product when the target product is checked by a third party, the real storage information indicates actual product information of the target product, the account information and the check information are determined according to the document information, and the real storage information is determined according to the sensor information.

3. The method of claim 2, wherein determining whether the product information indicated in the sensor information and/or the document information is consistent further comprises:

determining whether the product information indicated by at least two of account information, real information and check information of the target product is consistent with each other.

4. A method according to any one of the claims 1-3, characterized in that,

the sensor information includes: at least one of liquid sensor information, temperature sensor information, flow sensor information, valve sensor information, scale sensor information, global Positioning System (GPS) sensor information;

the document information includes: at least one of a warehouse entry bill, a warehouse exit bill, a warehouse entry plan bill, a warehouse entry bill, an invoice, a purchase and sale contract, a business check report and a customs clearance record.

5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,

the account information is determined according to at least one of a warehouse entry bill, a warehouse exit bill, a warehouse entry plan bill, a warehouse exit plan bill, an invoice, a purchase and sale contract and a business inspection report;

the checking information is determined according to at least one of invoice, purchase and sale contract, business check report and customs clearance record;

the actual storage information is determined according to at least one of liquid sensor information, temperature sensor information, flow sensor information, valve sensor information and scale sensor information.

6. The method of any one of claims 1-5, wherein the product information includes at least one of a level, a volume, and a weight of the target product.

7. The method according to any one of claims 1-6, wherein the sensor information and/or the document information of the target product is associated with track information of a corresponding carrier, the track information of the carrier being determined from an indication of the sensor information.

8. The method of any of claims 1-7, wherein the verification request further comprises a consistency verification of logistics transportation information of the target product, the logistics transportation information comprising a logistics transportation track of the target product, the method further comprising:

and determining whether the logistics transportation information indicated in the sensor information and/or the document information is consistent, wherein the logistics transportation information indicated by the sensor information comprises track information of a carrier.

9. The method of claim 8, wherein determining whether the logistics transportation information indicated in the sensor information and/or the document information is consistent comprises:

determining whether the physical distribution transportation track information of the target product and the physical distribution transportation information indicated by the planned physical distribution transportation track information are consistent with each other;

the actual logistics transportation track information is determined according to GPS sensor information, and the planned logistics transportation track information is determined according to at least one of a warehouse entry order, a warehouse exit order, a warehouse entry order, a warehouse exit order and a logistics commission order.

10. The method according to any one of claims 1-9, wherein the bulk cargo is of the type any one of liquid, solid, gas.

11. A data information consistency check device, the device comprising:

the uploading module is used for uploading the received sensor information and/or document information of the target product to the blockchain every preset time, wherein the target product is bulk goods, the sensor information is acquired by a sensor, and the document information is acquired by a document held by at least one user;

the first acquisition module is used for acquiring a verification request aiming at a target product, wherein the verification request comprises consistency verification of product information of the target product;

the second acquisition module is used for acquiring sensor information and/or document information of the target product from the blockchain according to the verification request;

and the first determining module is used for determining whether the product information indicated in the sensor information and/or the document information is consistent or not.

12. A data information consistency check device, comprising:

a processor;

a memory for storing processor-executable instructions;

Wherein the processor is configured to:

the method according to any of claims 1-10 is implemented when said instructions are executed.

13. A non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1-10.