CN113506096B

CN113506096B - Inter-system interface method based on industrial internet identification analysis system

Info

Publication number: CN113506096B
Application number: CN202111046760.2A
Authority: CN
Inventors: 范江东; 陈灵欣; 王伟; 王培龙; 赵斌; 宋述贵; 满思达; 金从友; 翁慧颖
Original assignee: State Grid Zhejiang Zhedian Tendering Consulting Co ltd; State Grid Corp of China SGCC; State Grid Zhejiang Electric Power Co Ltd
Current assignee: State Grid Zhejiang Zhedian Tendering Consulting Co ltd; State Grid Corp of China SGCC; State Grid Zhejiang Electric Power Co Ltd
Priority date: 2021-09-08
Filing date: 2021-09-08
Publication date: 2021-12-17
Anticipated expiration: 2041-09-08
Also published as: CN113506096A

Abstract

The application discloses an inter-system interface method based on an industrial internet identification analysis system, which comprises the following steps: extracting production process data corresponding to the material object number, an item order number corresponding to the asset number and bidding data corresponding to the item order number from different previous systems respectively; converting the real object number into a corresponding asset number according to a corresponding relation between a preset real object number and the asset number to obtain production process data corresponding to the converted asset number; constructing a total corresponding relation table among the asset number, the production process data, the quality evaluation data, the project order number and the bid drawing data according to the production process data and the project order number pointing to the same asset number, the quality evaluation data obtained by evaluating the production process data and the bid drawing data pointing to the same project order number; and constructing the power grid EIP system based on the full-scale relational table. The EIP system obtained by construction contains more comprehensive information.

Description

Inter-system interface method based on industrial internet identification analysis system

Technical Field

The present disclosure relates to the field of data processing and integration, and in particular, to an inter-system interface method and apparatus based on an industrial internet identity resolution system, an electronic device, and a computer-readable storage medium.

Background

In the metering equipment, the electricity utilization information acquisition terminal is equipment for acquiring electricity utilization information of each information acquisition point, and can realize the data acquisition, data management, data bidirectional transmission and forwarding or execution control of the electric energy meter. The concentrator is a device which collects data of each collector or electric energy meter, processes and stores the data, and can exchange data with a master station or handheld equipment. The concentrator is always located at the position of a communication control junction in the power utilization information acquisition system, is an important component in the construction of the intelligent power grid, and the good working condition of the concentrator can ensure that the acquisition success rate of the power utilization information acquisition system is stably increased.

At present, the state information of various devices in the power grid at various stages belongs to a plurality of different systems, but the subsystems cannot be communicated due to various factors, which causes great trouble to quickly inquire full-life-cycle data.

Disclosure of Invention

The application aims to provide an inter-system interface method and device based on an industrial internet identification analysis system, electronic equipment and a computer readable storage medium.

In order to achieve the above object, the present application provides, in a first aspect, an inter-system interface method based on an industrial internet identity resolution system, where the method includes:

extracting production process data corresponding to each material object number from a power grid NQI system;

extracting a project order number corresponding to each asset number from the power grid MDS system;

extracting bidding and collecting data corresponding to each project order number from the power grid ECP system;

converting the real object number into a corresponding asset number according to a corresponding relation between a preset real object number and the asset number to obtain production process data corresponding to the converted asset number;

constructing a total corresponding relation table among the asset number, the production process data, the quality evaluation data, the project order number and the bid drawing data according to the production process data and the project order number pointing to the same asset number, the quality evaluation data obtained by evaluating the production process data and the bid drawing data pointing to the same project order number;

and constructing the power grid EIP system based on the full-scale relational table.

Optionally, the method further includes:

controlling a supplier of the power grid equipment to collect production parameters of each power grid equipment in the production process;

the control supplier determines whether the power grid equipment with abnormal production exists according to the actual difference between the production parameters of the power grid equipment in the same batch and the required standard parameters;

the control supplier maintains the power grid equipment with production abnormity according to a preset maintenance standard until the abnormity is recovered or the corresponding power grid equipment is marked as a scrapped state;

the control supplier encrypts the full production parameters and transmits the encrypted production parameters to a production parameter storage server of the power grid NQI system through a safe transmission path constructed by the first gateway and the second gateway; the first gateway is arranged in an intranet environment of a supplier, the second gateway is arranged in a local intranet environment of a power grid, and the total production parameters comprise original production parameters which are not maintained and modified production parameters which are maintained;

and responding to the fact that the production parameter storage server stores data, calling a preset decryption key to decrypt the stored data, and storing the decrypted generation parameter as the production process data of the corresponding material object number.

Optionally, the method further includes:

detecting whether the production parameters are subjected to unauthorized tampering operation or not, and abnormal maintenance parameters or transmission data streams which are different from the historical maintenance parameters are abnormally interrupted;

if at least one of unauthorized tampering operation, abnormal maintenance parameters different from historical maintenance parameters or abnormal interruption of transmission data flow is detected, adding an unreliable mark to the production parameters of the corresponding batch;

temporarily storing the production parameters with the attached unreliable marks into a memory to be verified until the data stored in the memory to be verified is confirmed to be reliable, and then transferring the data to a production parameter storage server.

Optionally, the method further includes:

counting the total transmission request quantity, the transmission failure quantity and the overtime unresponsive quantity of the transmission request transmitted from the first gateway to the second gateway according to the period;

determining the request load of the server corresponding to the current second gateway according to the transmission failure amount and the proportion of the transmission request overtime uninfluenced amount to the total transmission request amount;

and adjusting the quantity of the requests transmitted to the second gateway in each unit time according to the size of the request load.

Optionally, the method further includes:

generating a public key and a private key by using an asymmetric encryption algorithm according to identity information preset by a supplier and a power grid EIP system;

and issuing the public key to the supplier so that the supplier encrypts the transmitted full-scale production parameters by using the public key.

Optionally, the method further includes:

determining the sorting priority of various parameters in the full-quantity corresponding relation table according to preset priority configuration information;

other parameters corresponding to the query parameters are presented in an ordered priority.

Optionally, the method further includes:

acquiring sample production process data;

calling a pre-trained quality labeling algorithm to perform production quality labeling on the data in the sample generation process to obtain a first labeling result;

randomly sampling from the data in the sample generation process to obtain target sample data, and performing production quality marking by allocating a marking object with credible quality marking capability to obtain a second marking result;

and in response to the fact that the difference between the first labeling result and the second labeling result of the same sample production process data exceeds the preset difference, performing generation quality labeling on the sample production process data of the batch again.

To achieve the above object, the present application provides, in a second aspect, an inter-system interface apparatus based on an industrial internet identity resolution system, the apparatus including:

NQI a system parameter extraction unit configured to extract production process data corresponding to each physical number from the grid NQI system;

the MDS system parameter extraction unit is configured to extract an item order number corresponding to each asset number from the power grid MDS system;

the ECP system parameter extraction unit is configured to extract bidding data corresponding to each project order number from the power grid ECP system;

the conversion unit is configured to convert the real object number into a corresponding asset number according to the corresponding relation between the preset real object number and the asset number, and obtain production process data corresponding to the converted asset number;

a total correspondence table generation unit configured to construct a total correspondence table among the asset number, the production process data, the quality evaluation data, the project order number, and the recruitment and harvest mark data, based on the production process data and the project order number pointing to the same asset number, the quality evaluation data evaluated on the production process data, and the recruitment and harvest mark data pointing to the same project order number;

and the EIP system construction unit is configured to construct a power grid EIP system based on the full-scale relational table.

Optionally, the apparatus further comprises:

the production parameter control and collection unit is configured to control a supplier of the power grid equipment to collect the production parameters of each power grid equipment in the production process;

the abnormality determination control unit is configured to control the supplier to determine whether the power grid equipment with abnormal production exists according to the actual difference between the production parameters of the power grid equipment in the same batch and the required standard parameters;

the abnormal maintenance control unit is configured to control a supplier to maintain the power grid equipment with the abnormal production according to a preset maintenance standard until the abnormity is recovered or the corresponding power grid equipment is marked as a scrapped state;

the encryption transmission control unit is configured to control a supplier to transmit the full amount of production parameters to a production parameter storage server of the power grid NQI system through a security transmission path which is constructed by the first gateway and the second gateway after being encrypted; the first gateway is arranged in an intranet environment of a supplier, the second gateway is arranged in a local intranet environment of a power grid, and the total production parameters comprise original production parameters which are not maintained and modified production parameters which are maintained;

and the decryption storage unit is configured to respond to the fact that the production parameter storage server stores data, call a preset decryption key to decrypt the stored data, and store the decrypted generation parameter as the production process data of the corresponding real object number.

Optionally, the apparatus further comprises:

an anomaly detection unit configured to detect whether the production parameter is subjected to unauthorized tampering operation, an abnormal maintenance parameter different from the historical maintenance parameter occurs, or an abnormal interruption occurs in the transmission data stream;

an unreliable mark adding unit configured to add an unreliable mark to the production parameter of the corresponding batch if at least one of unauthorized tampering operation, abnormal maintenance parameter different from the historical maintenance parameter or abnormal interruption of the transmission data stream is detected;

and the transfer unit is configured to temporarily store the production parameters with the unreliable marks in the memory to be verified until the data stored in the memory to be verified is confirmed to be reliable and then transfer the data to the production parameter storage server.

Optionally, the apparatus further comprises:

the quantity request unit is configured to count the total quantity of transmission requests, the quantity of transmission failures and the quantity of transmission request overtime unresponsiveness transmitted from the first gateway to the second gateway according to a period;

a request conformity determining unit configured to determine a request load of a server corresponding to the current second gateway according to the transmission failure amount and the proportion of the transmission request timeout unaffected amount to the total transmission request amount;

and the transmission quantity adjusting unit is configured to adjust the quantity of the subsequent requests transmitted to the second gateway in each unit time according to the size of the request load.

Optionally, the apparatus further comprises:

the asymmetric encryption algorithm unit is configured to generate a public key and a private key by using an asymmetric encryption algorithm according to identity information of a supplier and identity information preset for a power grid EIP system;

and the public key issuing unit is configured to issue the public key to the supplier so that the supplier can encrypt the transmitted full production parameters by using the public key.

Optionally, the apparatus further comprises:

the sorting priority determining unit is configured to determine sorting priorities of various parameters in the full-quantity corresponding relation table according to preset priority configuration information;

and the presenting unit according to the priority is configured to present other parameters corresponding to the query parameters according to the sequencing priority.

Optionally, the apparatus further comprises:

a sample data acquisition unit configured to acquire sample production process data;

the model marking unit is configured to call a pre-trained quality marking algorithm to perform production quality marking on the sample generation process data to obtain a first marking result;

the labeling object labeling unit is configured to randomly sample target sample data from the sample generation process data and perform production quality labeling by allocating labeling objects with credible quality labeling capacity to obtain a second labeling result;

and the larger difference re-labeling unit is configured to re-label the generation quality of the sample generation process data of the batch in response to the difference between the first labeling result and the second labeling result of the same sample production process data exceeding the preset difference.

To achieve the above object, the present application provides, in a third aspect, an electronic apparatus comprising:

a memory for storing a computer program;

a processor configured to implement the steps of the industrial internet identity resolution architecture based intersystem interface method as described in any of the embodiments of the first aspect when executing the computer program stored on the memory.

In order to achieve the above object, in a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the inter-system interface method based on the industrial internet identity resolution system as described in any one of the embodiments in the first aspect.

Compared with the prior art, the inter-system interface method based on the industrial internet identification analysis system provided by the application has the advantages that different parameters with substantial correlation or implicit mapping relation in different power grid subsystems are deeply researched and unified, so that the different parameters are used as cores and are connected in series to be dispersed in the different subsystems, and a more comprehensive power grid EIP system capable of meeting the requirements of quick and full-scale query is constructed on the basis of combining a plurality of new parameters.

The application also provides an inter-system interface device, an electronic device and a computer readable storage medium based on the industrial internet identification analysis system, which have the beneficial effects and are not repeated herein.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a flowchart of an inter-system interface method based on an industrial internet identity resolution system according to an embodiment of the present application;

fig. 2 is a flowchart of a method for acquiring production process data in the inter-system interface method based on the industrial internet identity resolution system according to the embodiment of the present application;

fig. 3 is a flowchart of a method for generating process data anomaly detection in the inter-system interface method based on the industrial internet identification resolution system according to the embodiment of the present application;

fig. 4 is a flowchart of a method for performing quality inspection on production process data in the inter-system interface method based on the industrial internet identity resolution system according to the embodiment of the present application;

FIG. 5 is a flow chart illustrating a control data source according to an embodiment of the present disclosure;

fig. 6 is a schematic diagram of a data fidelity processing flow provided in an embodiment of the present application;

fig. 7 is a block diagram of an inter-system interface device based on an industrial internet identity resolution system according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Referring to fig. 1, fig. 1 is a flowchart of an inter-system interface method based on an industrial internet identity resolution system according to an embodiment of the present application, which includes the following steps:

step 101: extracting production process data corresponding to each material object number from a power grid NQI system;

this step is intended to extract from the NQI system the production process data associated with the physical number of the grid device by an executing agent (e.g., an EIP server running on a hardware resource provided by the server) adapted to execute the industrial internet identity resolution architecture based inter-system interface method provided by the present application.

The NQI system mentioned in the step is a national network metering equipment quality one-stop digital service cloud platform, the platform is built jointly by relying on a national energy metering center (electric power) and an intelligent metering alliance and combining with Aliskiu and an industrial experienced informatization service provider, a metering equipment full-chain and full-ring quality service scene system is built on the cloud by taking reference to an industrial internet mode, a metering equipment quality service system is built, the panoramic presentation of equipment manufacturing, equipment use, quality supervision and public service is realized, and a win-win quality service new ecology of all parties is built. The system collects production data, test data and inspection data (i.e. full life cycle data in the production process) of the collectors of the power grid equipment, and takes the collector as an example, and the real object number (ID) of the collector is connected in series with the complete production data of each collector. Of course, the NQI system may also be embodied with other types of power grid equipment, such as resident electricity meters, transformers, and other ancillary equipment.

Step 102: extracting a project order number corresponding to each asset number from the power grid MDS system;

this step is intended to extract the project order number associated with the asset number of the grid device from the MDS system by the executing entity. The MDS system is a provincial metering center production scheduling platform integrating overall process management such as planning, verification, storage and distribution, achieves full coverage of all services in the provincial metering center range, and achieves full life cycle management and overall process quality monitoring of metering assets through system interfaces such as marketing and power consumption information acquisition. Wherein, the item order covers the above information.

Step 103: extracting bidding and collecting data corresponding to each project order number from the power grid ECP system;

this step is intended to extract bid data corresponding to each item order number from the ECP system by the execution body described above. The ECP system is a national grid electronic commerce platform and is mainly used for issuing national grid bidding, national grid purchasing, national grid inquiry bulletin, national grid bidding information, bid winning notations, establishment planning and other project information and providing services for electric power and electric power related enterprises. It can be known that the ECP system mainly communicates service data, and mainly includes a purchase order number, a framework agreement, and the like.

Step 104: converting the real object number into a corresponding asset number according to a corresponding relation between a preset real object number and the asset number to obtain production process data corresponding to the converted asset number;

the physical number of the grid device is a number assigned to the grid device in the production process by the supplier, and the asset number is a number assigned to the grid device by the supplier again after the grid device which is qualified in production is delivered to the national grid, so that the grid device and the national grid are associated with each other by the same physical device. Specifically, the asset number may be sent to the supplier by the national network before the production is completed, so that the supplier can replace the asset number with the corresponding asset number after the production is completed, but the physical number is reserved as the identity information of the characterization device in the production process.

On the basis of the step 101 and the step 102, the execution main body converts the real object number into a corresponding asset number according to the preset corresponding relationship between the real object number and the asset number, and obtains production process data corresponding to the converted asset number.

Step 105: constructing a total corresponding relation table among the asset number, the production process data, the quality evaluation data, the project order number and the bid drawing data according to the production process data and the project order number pointing to the same asset number, the quality evaluation data obtained by evaluating the production process data and the bid drawing data pointing to the same project order number;

on the basis of the

steps

103 and 104, the step aims to construct the full-quantity corresponding relation of the secondary affiliate with the asset number as the core and the residual parameters as the primary affiliate or the primary affiliate by the executive body according to the production process data and the project order number pointing to the same asset number, the quality evaluation data obtained by evaluating the production process data and the recruitment target data pointing to the same project order number.

Step 106: and constructing the power grid EIP system based on the full-scale relational table.

On the basis of step 105, this step is intended to construct, by the executing entity described above, a full-scale relationship table of full-scale correspondences in an appropriate manner as a power grid EIP system.

Specifically, the constructed power grid EIP system can call specific information required to be queried through interface multiplexing or other modes, and the specific information in each subsystem is not copied and rearranged, so that the generation of repeated data is reduced as much as possible.

Furthermore, the sorting priority of various parameters in the full-quantity corresponding relation table can be determined according to preset priority configuration information, so that other parameters corresponding to the query parameters can be presented according to the sorting priority, and the information query efficiency of an actual query user can be met as much as possible.

Compared with the prior art, the inter-system interface method based on the industrial internet identification analysis system provided by the embodiment is used for unifying different parameters with substantial correlation or implicit mapping relation in different power grid subsystems by deeply researching the different parameters with substantial correlation or implicit mapping relation, so that the different parameters are used as cores and are connected in series to be dispersed in the different subsystems, and a more comprehensive power grid EIP system capable of meeting the requirements of quick and full query is constructed on the basis of combining some new parameters.

On the basis of the foregoing embodiment, fig. 2 is a flowchart of a method for acquiring production process data in the inter-system interface method based on the industrial internet identity resolution system provided in the embodiment of the present application, and specifically includes the following steps:

step 201: controlling a supplier of the power grid equipment to collect production parameters of each power grid equipment in the production process;

since the supplier usually records the production parameters of the multiple grid devices in the same batch as one parameter only according to the batch, that is, the supplier does not refine to each specific device, but only records one parameter for the multiple devices, and subsequently, even if the supplier can determine that the device is abnormal, it needs to verify which device is actually abnormal one by one, so that the supplier is required to collect the production parameters of each grid device in the production process, specifically to each grid device. Specifically, the production parameters of different power grid devices can be distinguished by establishing independent information acquisition or sensor deployment with higher precision in each power grid device.

Step 202: the control supplier determines whether the power grid equipment with abnormal production exists according to the actual difference between the production parameters of the power grid equipment in the same batch and the required standard parameters;

on the basis of step 201, the execution subject in this step is to determine whether there is abnormal power grid equipment by itself in the production and manufacturing process, and then find out and reduce the maintenance cost as early as possible. The abnormal judgment standard is a standard preset between a supplier and a national network, but not a standard determined by either of the supplier and the national network, so that the problem of missing detection or wrong detection caused by the self-set standard is prevented as much as possible.

Step 203: the control supplier maintains the power grid equipment with production abnormity according to a preset maintenance standard until the abnormity is recovered or the corresponding power grid equipment is marked as a scrapped state;

on the basis of step 202, the step is to perform maintenance on the power grid equipment with production abnormality by the execution subject control provider according to a preset maintenance standard until the abnormality is recovered or the corresponding power grid equipment is marked as a scrapped state. The maintenance standard should be a standard preset between a supplier and a national network, and should not be a standard determined by any one of the supplier and the national network, so that the surface maintenance problem caused by the self-established standard can be prevented as much as possible. Recovery of an anomaly generally proves that the grid equipment is reckoned as normal equipment after maintenance, and the marked as a scrapped state indicates that the grid equipment is not repaired and has no value of maintenance.

Step 204: the control supplier encrypts the full production parameters and transmits the encrypted production parameters to a production parameter storage server of the power grid NQI system through a safe transmission path constructed by the first gateway and the second gateway;

on the basis of step 201, step 202 and step 203, the step is intended to control the supplier to transmit the full amount of production parameters to the production parameter storage server of the power grid NQI system through the secure transmission path constructed by the first gateway and the second gateway after being encrypted.

The first gateway is arranged in an intranet environment of a supplier, the second gateway is arranged in a local intranet environment of a power grid, and the total production parameters comprise original production parameters which are not maintained and modified production parameters which are maintained. That is, the executing entity needs the supplier to upload the parameters of the whole process, rather than the parameters that the supplier wants to upload, in order to better monitor the data of the production process.

The encryption method used by the provider may be: generating a public key and a private key by using an asymmetric encryption algorithm according to identity information preset by a supplier and a power grid EIP system; and issuing the public key to the supplier so that the supplier encrypts the transmitted full-scale production parameters by using the public key.

That is, the basic parameters of the asymmetric encryption algorithm for generating the public key and the private key are controlled by integrating the identity information set for the power grid EIP system in advance and the supplier, and are unique.

Step 205: and responding to the fact that the production parameter storage server stores data, calling a preset decryption key to decrypt the stored data, and storing the decrypted generation parameter as the production process data of the corresponding material object number.

On the basis of step 204, this step is intended to call a preset decryption key (for example, the private key in the above example) to decrypt the stored data when the execution subject perceives that the data is stored in its own production parameter storage server, and store the decrypted generation parameter as the corresponding real object number production process data.

It should be noted that, in the present embodiment, the production parameter storage server is only used for storing production parameters that are not integrated into production process data, and therefore, in general, the production parameter storage server is empty, that is, the token is processed completely, and therefore, whenever the data stored therein is definitely new data, a processing flow for the new data can be triggered.

The embodiment provides an implementation manner for acquiring the data of the whole production process through the flow 201 to the step 205, and controlling the acquired data of the production process to be true and reliable data.

On the basis of the above embodiment, in order to avoid the supplier trying to tamper with the data during data transmission, the present embodiment also provides a solution by a method for generating process data anomaly detection shown in fig. 3, which specifically includes the following steps:

step 301: detecting whether the production parameters are subjected to unauthorized tampering operation or not, and abnormal maintenance parameters or transmission data streams which are different from the historical maintenance parameters are abnormally interrupted;

whether unauthorized tampering operation occurs or not can be confirmed by checking a digital signature of the tampering operation or the identity of a user, the occurrence of abnormal maintenance parameters can be verified by analyzing and summarizing historical similar abnormal maintenance parameters, the similarity of the abnormal maintenance parameters and the current actual maintenance parameters can be further verified, and if abnormal interruption occurs in a transmission data stream, the behavior of tampering the intercepted data due to the fact that a third party intercepts a transmission channel can be possibly represented. Therefore, any of the three cases may characterize the behavior of trying to tamper with data during data transmission, and therefore this embodiment takes this as the detection focus.

Step 302: in response to detecting at least one of unauthorized tampering, occurrence of an abnormal maintenance parameter different from a historical maintenance parameter, or occurrence of an abnormal interruption of a transmission data stream, appending an unreliable mark to the production parameter of the corresponding lot;

in this step, the detection result in step 301 is at least one of unauthorized tampering operation, abnormal maintenance parameters different from the historical maintenance parameters, or abnormal interruption of the transmission data stream, and the execution main body attaches an unreliable flag to the production parameters of the corresponding batch to indicate that the production parameters received by the batch are unreliable.

A more positive tamper flag is not directly attached because it is not excluded that this occurs due to special or accidental conditions, and therefore an unreliable flag is temporarily attached for subsequent investigation.

Step 303: temporarily storing the production parameters with the attached unreliable marks into a memory to be verified until the data stored in the memory to be verified is confirmed to be reliable, and then transferring the data to a production parameter storage server.

On the basis of step 302, the execution subject temporarily stores the production parameters with the unreliable mark in the memory to be verified until the data stored in the memory to be verified is confirmed to be reliable, and then transfers the data to the production parameter storage server. The memory to be verified is used as a data storage carrier for secondary checking, and a data interface for accessing the memory to be verified can be allocated to professional operation and maintenance personnel or abnormal checking personnel, so that the data in the memory to be verified can be checked conveniently.

On the basis of the embodiment shown in fig. 3, in order to ensure that the data transmitted from the first gateway to the second gateway can be successfully transmitted at a time with a high probability as much as possible, the transmission amount per unit time may also be adjusted as follows:

The above embodiment makes full use of the characteristics that the second gateway has slow response and high response failure rate when having high request compliance, so that negative feedback adjustment is performed by using the parameter reflecting the characteristics. Therefore, the success rate of one-time transmission is improved, and the abnormal situation that some data are considered to be transmitted by the supplier side but the national network side does not receive the data is avoided.

In order to deepen the understanding of the data acquisition process of the production process, a specific implementation manner is given by taking a common concentrator in the power grid equipment as an example:

the concentrator manufacturer should provide production field acquisition data such as raw material/component inspection data, production process and process inspection data, test data, and video data. And after new data are generated, automatically and synchronously updating the data into an intermediate database on the supplier side. The gateway server equipment deployed at the supplier side calls an interface provided by the supplier according to a certain frequency, and actively applies for capturing relevant data.

Detailed functional description:

1) when a supplier generates new production/inspection data, the data are synchronized to the intermediate library in time so that the gateway can capture the data in time;

2) if the parameter status in the returned Json is "1", the corresponding problem description should be written in the parameter "message" so that the platform working group can grasp the situation in time and take improvement and adjustment measures (see table 1 below);

3) after the supplier returns the data set, the related data in the intermediate library should be marked or deleted in time so as to avoid the next repeated processing;

4) after the supplier side returns the data set, whether the gateway side successfully receives and processes the data set is not needed to be considered temporarily, and only the grabbing request of the gateway side needs to be responded in time and the data set is ensured to be returned according to a correct form;

5) when the supplier returns the data set, it should be noted that the amount of data contained in the data set should not exceed the maximum value specified in the request message.

TABLE 1 Json data Structure schematic

On the basis of any of the above embodiments, in order to ensure that the production instructions corresponding to the production process data are accurately labeled or evaluated as much as possible, the present embodiment further provides a flowchart of a method for quality inspection of the production process data through fig. 4, and specifically includes the following steps:

step 401: acquiring sample production process data;

step 402: calling a pre-trained quality labeling algorithm to perform production quality labeling on the data in the sample generation process to obtain a first labeling result;

the quality labeling algorithm is a pre-training model, namely a model trained by sample data labeled with results in advance, a neural network is usually adopted as a framework of the model, so that the samples in the quality labeling algorithm can learn hidden corresponding relations in a centering mode, and further the quality labeling algorithm has partial production quality labeling or evaluation capacity.

Step 403: randomly sampling from the data in the sample generation process to obtain target sample data, and performing production quality marking by allocating a marking object with credible quality marking capability to obtain a second marking result;

different from the quality labeling algorithm, the labeling object used in the step is usually a labeling operator or a labeling expert with professional labeling capability, and in order to reduce the labeling workload and improve the efficiency as much as possible, a small amount of target sample data is randomly sampled from the sample generation process data to be allocated to the labeling object for labeling. The selection of the annotation object with the credible quality annotation capability can be completed by reasonably screening the annotation capability label of the annotation object, for example, the corresponding annotation capability category and the specific annotation capability value under the annotation capability of each category are determined based on the preset annotation requirement.

Step 404: and in response to the fact that the difference between the first labeling result and the second labeling result of the same sample production process data exceeds the preset difference, performing generation quality labeling on the sample production process data of the batch again.

Based on the

steps

402 and 403, the step is to perform generation quality labeling on the sample generation process data of the batch again by the execution subject when the first labeling result and the second labeling result of the same sample generation process data are greatly different.

Correspondingly, if the difference between the labeling results of the two is not large, it means that the labeling result obtained by labeling the batch by the labeling algorithm has higher reliability.

To further enhance the fidelity of the collected production process data for the present application, the present embodiment also describes an implementation manner in detail, which mainly includes three parts

1) A data source:

the reality and effectiveness of a data source are the basis for ensuring the authenticity of data, the intelligent internet of things gateway system needs data acquired from a supplier side, except for part of data from an information management system of the supplier side, the data mainly come from production equipment, a data acquisition unit, test/detection equipment, camera equipment and the like of a production field, and the gateway directly acquires production test data in an active capture mode to be the most effective mode (see fig. 5).

2) And (4) network security:

i.e., the issue of security in communication networks, is a significant challenge facing all computer systems, including EIP systems. The aspects of network security are very wide, wherein network attacks, intrusions and viruses can generate great hidden dangers and influences on the fidelity work of data captured by the intelligent internet of things gateway.

The intelligent internet of things gateway can be deployed in an intranet environment of a supplier side under normal conditions and is in interactive link with the data acquisition platform and an extranet environment through a network switch of the supplier side.

On one hand, the supplier side is required to at least meet the second-level security requirement in the basic network security level protection of the GBT22239-2019 information security technology, the safety, reliability and stability of the intranet environment are ensured, the intranet environment is not threatened or damaged, the resource sharing and information circulation functions can be normally realized, and the normal operation of hardware equipment and management software in the network environment is ensured;

on the other hand, the intelligent internet of things gateway inherits the unified security policy of the national network in design and construction and meets the three-level protection requirements such as security level, and tools and technical means meeting the national network construction requirements are adopted to ensure the absolute security of the captured data in the process of transmitting the captured data to the cloud type management center, so that the captured data are not tampered and lost, and the link channel is ensured to be safe and controllable.

3) Technical strategy-variance calculation (see fig. 6 and table 2 below):

the data fidelity scheme specifies that the average value +/-variance value of a group of data is obtained, the obtained range is the check value range of the data item, and if the average value is 10 and the variance is 2, the value of the data item is 8-12, and the data item is normal data.

Considering that the fluctuation range of the data items is large, even if the real data is not in the calculated interval range, when the rule is allowed to be configured, an optional item of the fluctuation range is added, and the upper limit of the fluctuation range does not exceed 50%.

After the data items are selected and collected, the data sampling model is configured by the category center through an interactive interface, and the data sampling model comprises parameter conditions such as data sampling frequency, data sampling number, data items and the like. The sampled data is used for standard deviation calculation and updating.

Table 2 schematic table of configuration rule needing to transmit 3-6 parameters

In order to assist in achieving the above 3 objects, it is further necessary to create a new microservice or develop an interface in an original program, so as to implement at least three functions: firstly, calculating variance at regular time and updating a configuration information table, secondly, receiving and checking original data, and thirdly, processing data which cannot pass the checking.

The method comprises the steps of receiving original data, providing an interface or a method for calling a data acquisition task, and as with an alarm, after the data acquisition task is called, the specific execution process and result do not need to be known, and the data can be normally stored in a warehouse no matter whether the data pass the verification or not.

Function one: interface

Entry of the reference (which interface or method provides for acquisition timing task invocation), see table 3 below:

TABLE 3 corresponding relation table

And a second function: timed tasks

The timing task can refer to the acquisition and push timing task by using a quartz framework, data in a fidelity configuration information table is loaded once when a program is started, the timing task is established for each set of rules, after the timing task is started, the variance and the value range are calculated at regular time according to the time interval required by the configuration, and the configuration information table is updated.

And each time the configuration information is updated by the timing task, a log is recorded, or a fidelity configuration information history table is newly established, and the previous configuration information is reserved, so that the tracing is convenient.

In addition to the timing program, it is also necessary to provide a functional interface for enabling and disabling the rules, which can be developed with reference to the enabling and disabling interface for capturing and pushing timing tasks.

And function III: processing of non-passing data

The data which is not passed through the verification is locally recorded and sent to a product center or a supplier if necessary, and then how the data is transmitted is discussed.

Based on the above, a specific table of data fidelity configuration information can be seen in the following table 4:

table 4 data fidelity configuration information table

Because the situation is complicated and cannot be illustrated by a list, a person skilled in the art can realize that many examples exist according to the basic method principle provided by the application and the practical situation, and the protection scope of the application should be protected without enough inventive work.

Referring to fig. 7, fig. 7 is a block diagram of a structure of an inter-system interface device based on an industrial internet identity resolution system according to an embodiment of the present application, where the embodiment exists as an embodiment of a device corresponding to the foregoing method embodiment, and the inter-system interface device 700 based on the industrial internet identity resolution system may include:

NQI, a system parameter extraction unit 701 configured to extract production process data corresponding to each physical number from the power grid NQI system;

an MDS system parameter extraction unit 702 configured to extract an item order number corresponding to each asset number from the grid MDS system;

an ECP system parameter extraction unit 703 configured to extract bid data corresponding to each project order number from the grid ECP system;

a preset correspondence conversion unit 704 configured to convert the physical serial number into a corresponding asset serial number according to a correspondence between the preset physical serial number and the asset serial number, and obtain production process data corresponding to the converted asset serial number;

a total correspondence table generating unit 705 configured to construct a total correspondence table among the asset number, the production process data, the quality evaluation data, the project order number, and the recruitment and harvest data, based on the production process data and the project order number pointing to the same asset number, the quality evaluation data evaluated on the production process data, and the recruitment and harvest data pointing to the same project order number;

the EIP system building unit 706 is configured to build a power grid EIP system based on the full-scale relational table.

In some other embodiments of the present application, the inter-system interface apparatus 700 based on the industrial internet identity resolution system may further include:

Compared with the prior art, the inter-system interface device based on the industrial internet identification analysis system provided by the embodiment unifies different parameters with substantial association or implicit mapping relationship in different power grid subsystems, so that the different parameters are used as cores and are connected in series to be dispersed in the different subsystems, and a more comprehensive power grid EIP system capable of meeting rapid and full query is constructed on the basis of combining some new parameters.

Based on the foregoing embodiments, the present application further provides an electronic device, which may include a memory and a processor, where the memory stores a computer program, and the processor, when calling the computer program in the memory, may implement the steps provided by the foregoing embodiments. Of course, the electronic device may also include various necessary network interfaces, power supplies, other components, and the like.

The present application also provides a computer-readable storage medium, on which a computer program is stored, which, when executed by an execution terminal or processor, can implement the steps provided by the above-mentioned embodiments. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It will be apparent to those skilled in the art that various changes and modifications can be made in the present invention without departing from the principles of the invention, and these changes and modifications also fall within the scope of the claims of the present application.

It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims

1. An inter-system interface method based on an industrial Internet identification analysis system comprises the following steps:

according to production process data and project order numbers pointing to the same asset number, quality evaluation data obtained by evaluating the production process data and bidding and collecting data pointing to the same project order number, constructing a total corresponding relation table with the asset number as a core, the production process data, the quality evaluation data, the project order numbers and the bidding and collecting data;

constructing a power grid EIP system based on the full-scale relational table;

further comprising: acquiring sample production process data;

calling a pre-trained quality labeling algorithm to perform production quality labeling on the sample generation process data to obtain a first labeling result;

randomly sampling from the sample generation process data to obtain target sample data, and performing production quality marking by allocating a marking object with credible quality marking capability to obtain a second marking result;

2. The method of claim 1, further comprising:

controlling the supplier to determine whether the power grid equipment with abnormal production exists according to the actual difference between the production parameters of the power grid equipment in the same batch and the required standard parameters;

controlling the supplier to maintain the power grid equipment with production abnormity according to a preset maintenance standard until the abnormity is recovered or the corresponding power grid equipment is marked as a scrapped state;

controlling the supplier to transmit the full production parameters to a production parameter storage server of the power grid NQI system through a safety transmission path constructed by a first gateway and a second gateway after encryption; the first gateway is arranged in the intranet environment of the supplier, the second gateway is arranged in the local intranet environment of the power grid, and the total production parameters comprise original production parameters which are not maintained and modified production parameters which are maintained;

3. The method of claim 2, further comprising:

detecting whether the production parameters are subjected to unauthorized tampering operation, abnormal maintenance parameters different from historical maintenance parameters or abnormal interruption of transmission data flow;

temporarily storing the production parameters attached with the unreliable marks into a memory to be verified until the data stored in the memory to be verified is confirmed to be reliable, and then transferring the data to the production parameter storage server.

4. The method of claim 2, further comprising:

determining the request load of a server corresponding to the current second gateway according to the transmission failure amount and the proportion of the transmission request overtime uninfluenced amount to the total transmission request amount;

5. The method of claim 2, further comprising:

generating a public key and a private key by using an asymmetric encryption algorithm according to the supplier and the identity information preset for the power grid EIP system;

and issuing the public key to the supplier so that the supplier encrypts the transmitted full production parameters by using the public key.

6. The method of claim 1, further comprising:

presenting other parameters corresponding to the query parameters according to the sorting priority.

7. An interface device between systems based on industry internet identification analytic system includes:

the system comprises a preset corresponding relation conversion unit, a data processing unit and a data processing unit, wherein the preset corresponding relation conversion unit is configured to convert a preset physical serial number into a corresponding asset serial number according to the corresponding relation between the preset physical serial number and the asset serial number, and obtain production process data corresponding to the converted asset serial number;

the system comprises a total corresponding relation table generating unit, a quality evaluation unit and a bidding and collecting unit, wherein the total corresponding relation table generating unit is configured to construct a total corresponding relation table which takes an asset number as a core, the core and production process data, the quality evaluation data, an item order number and the bidding and collecting data according to production process data and an item order number pointing to the same asset number, the quality evaluation data obtained by evaluating the production process data and the bidding and collecting data pointing to the same item order number;

the EIP system construction unit is configured to construct a power grid EIP system based on the full-scale relation table;

8. An electronic device, comprising:

a memory for storing a computer program;

a processor for implementing the steps of the industrial internet identity resolution architecture based intersystem interface method according to any one of claims 1 to 6 when executing a computer program stored on a memory.

9. A readable storage medium, wherein the readable storage medium stores thereon a computer program, which when executed by a processor can implement the steps of the industrial internet identity resolution architecture-based system-to-system interface method according to any one of claims 1 to 6.