WO2019100684A1

WO2019100684A1 - Electronic apparatus, credit investigation data processing method and system, and storage medium

Info

Publication number: WO2019100684A1
Application number: PCT/CN2018/089462
Authority: WO
Inventors: 吴启
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-11-21
Filing date: 2018-06-01
Publication date: 2019-05-31
Also published as: CN108021486B; CN108021486A

Abstract

The present application relates to an electronic apparatus, a credit investigation data processing method and system, and a storage medium. The method comprises: before credit investigation data is reported, according to a credit investigation data processing process, dividing processing nodes, and respectively setting state values at the processing nodes; when the credit investigation data is processed at the processing nodes, if a processing node generates an error message, based on the error message, setting the state value of the processing node to be an abnormal state value, and recording that the processing node is in an abnormal state one time; using a pre-set scanning task to regularly scan the processing nodes, and carrying out statistics on the number of times of abnormal states corresponding to the processing nodes; and if the number of times of abnormal states of a processing node is greater than or equal to a pre-set number, generating a reminding message based on credit investigation data corresponding to a situation where the processing node is in the abnormal state. The present application can solve the current problem of low processing efficiency caused by manual processing of a credit investigation abnormality, thereby achieving the effects of reducing a manual operation and improving the abnormality processing efficiency in a credit investigation reporting process.

Description

Electronic device, method, system and storage medium for processing data processing

Priority claim

The present application is based on the priority of the Chinese Patent Application entitled "Electronic Device, Method of Processing Data and Storage Media", filed on November 21, 2017, with the application number of CN201711167777.7, which is filed on November 21, 2017. The entire content is incorporated herein by reference.

Technical field

The present application relates to the field of communications technologies, and in particular, to an electronic device, a method, system, and storage medium for processing data.

Background technique

At present, in the process of reporting a credit report, in the event of an abnormal situation, the bank usually needs to manually interrupt the abnormality, and then manually modify the abnormal state or manually suspend it. After the confirmation, the re-operation or subsequent operation can be supported. There are many operations, and the efficiency of exception handling in the credit reporting process is low.

Summary of the invention

The purpose of the present application is to provide an electronic device, a method, a system, and a storage medium for processing data processing, which are intended to reduce manual processing and improve processing efficiency of abnormalities in the credit reporting process.

To achieve the above object, the present application provides an electronic device including a memory and a processor coupled to the memory, the memory storing a processing system operable on the processor, the processing The system implements the following steps when executed by the processor:

The state value step is set, before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set in each processing node;

Processing the credit data step: when the processing node processes the credit data, if the processing node generates an error message, the status value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded The abnormal state is once; in the timing scanning step, each processing node is periodically scanned by using a preset scanning task, and the number of abnormal states corresponding to each processing node is counted;

The step of generating a reminder message, if the number of abnormal states of the processing node is greater than or equal to the preset number, generating a reminder message based on the credit information corresponding to the abnormality of the processing node for manual intervention.

To achieve the above object, the present application further provides a method for processing credit information, and the method for processing the credit data includes:

S1, before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set at each processing node;

S2, when the processing node processes the credit data, if the processing node generates an error message, the state value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded in an abnormal state once;

S3, periodically scanning each processing node by using a preset scan task, and counting the number of abnormal states corresponding to each processing node;

S4: If the number of abnormal states of the processing node is greater than or equal to a preset number, generating a reminder message based on the credit information corresponding to the processing node in the abnormal state, to perform manual intervention.

To achieve the above object, the present application further provides a system for processing credit information, and the system for processing credit information includes:

a dividing module, configured to divide the processing nodes according to the processing process of the credit information before reporting the credit data, and respectively set the state values in each processing node;

The processing module is configured to: when the processing node processes the credit data, if the processing node generates an error message, the state value of the processing node is set to an abnormal state value based on the error message, and the processing node is abnormal. State once;

a scanning module, configured to periodically scan each processing node by using a preset scan task, and count the number of abnormal states corresponding to each processing node;

The generating module is configured to generate a reminder message based on the credit information corresponding to the abnormality state of the processing node if the number of abnormal states of the processing node is greater than or equal to a preset number, to perform manual intervention.

The present application also provides a computer readable storage medium having stored thereon a processing system, the processing system being executed by a processor to implement the steps of the method of credit data processing described above.

The beneficial effects of the present application are: before the report data is reported, the processing node is divided according to the processing process of the credit data, and the state value is set at each processing node, and when the credit data is processed, each processing node is scanned by using the scan task. The number of abnormal states is reminded when the number of abnormal states of the processing node is greater than or equal to the preset number, which can solve the problem of low processing efficiency caused by the existing manual processing of the credit abnormality, thereby reducing manual operations and improving credit reporting. The effect of abnormal processing efficiency in the process.

DRAWINGS

1 is a schematic diagram of a hardware architecture of an embodiment of an electronic device according to the present application;

2 is a schematic flow chart of an embodiment of a method for processing credit data according to the present application.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

It should be noted that the descriptions of "first", "second" and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. . Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.

1 is a schematic diagram of a hardware architecture of an embodiment of an electronic device of the present application. The electronic device 1 is an apparatus capable of automatically performing numerical calculation and/or information processing in accordance with an instruction set or stored in advance. The electronic device 1 may be a computer, a single network server, a server group composed of multiple network servers, or a cloud-based cloud composed of a large number of hosts or network servers, where cloud computing is a type of distributed computing. A super virtual computer consisting of a group of loosely coupled computers.

In the present embodiment, the electronic device 1 may include, but is not limited to, a memory 11 communicably connected to each other through a system bus, a processor 12, and a network interface 13, and the memory 11 stores a processing system operable on the processor 12. It should be noted that FIG. 1 only shows the electronic device 1 having the components 11-13, but it should be understood that not all illustrated components are required to be implemented, and more or fewer components may be implemented instead.

The memory 11 includes a memory and at least one type of readable storage medium. The memory provides a cache for the operation of the electronic device 1; the readable storage medium may be, for example, a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM). A non-volatile storage medium such as a read only memory (ROM), an electrically erasable programmable read only memory (EEPROM), a programmable read only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, or the like. In some embodiments, the readable storage medium may be an internal storage unit of the electronic device 1, such as a hard disk of the electronic device 1; in other embodiments, the non-volatile storage medium may also be external to the electronic device 1. A storage device, such as a plug-in hard disk equipped with an electronic device 1, a smart memory card (SMC), a Secure Digital (SD) card, a flash card, or the like. In this embodiment, the readable storage medium of the memory 11 is generally used to store an operating system installed in the electronic device 1 and various types of application software, such as program codes of the processing system in an embodiment of the present application. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.

The processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 12 is typically used to control the overall operation of the electronic device 1, such as performing control and processing associated with data interaction or communication with the other devices. In this embodiment, the processor 12 is configured to run program code or process data stored in the memory 11, such as running a processing system or the like.

The network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the electronic device 1 and other electronic devices.

The processing system is stored in the memory 11 and includes at least one computer readable instruction stored in the memory 11, the at least one computer readable instruction being executable by the processor 12 to implement the methods of various embodiments of the present application; The at least one computer readable instruction can be classified into different logic modules depending on the functions implemented by its various parts.

In an embodiment, when the processing system is executed by the processor 12, the following steps are implemented:

In this embodiment, the credit information refers to an activity of collecting, sorting, storing, and providing credit information according to law. Individual or corporate credit information messages need to go through several processing procedures before being reported to the predetermined credit information system (such as the People's Bank of China's credit information system). In the processing stage before the report of the credit report, it is divided into nodes according to the processing process, and preferably, according to the order of processing, the collection node, the assembly node, the pre-processing node and the reporting node of the credit data can be divided. The credit data can be transmitted between the processing nodes in the form of a network. The credit information system provides three data exchange methods: FTP, HTTP and SMTP.

The collecting node collects the credit data of the individual or the enterprise from the credit business system, and the credit information includes personal or enterprise information, amount information, repayment information, and overdue information, etc., and the collected credit data collected by the node degree. Performing assembly according to the format of the predetermined credit information system, the pre-processing node performs the verification processing on the assembled credit information according to a predetermined rule engine, and the reporting node reports the credit data after the verification processing to the predetermined credit information system. .

In this embodiment, a state value is set at each processing node, and the state value includes, for example, “0” and “1”, wherein the abnormal state value is “1”, and the normal state value is “0”. Of course, only the abnormality may be set. Status value, not the normal status value.

Processing the credit data step: when the processing node processes the credit data, if the processing node generates an error message, the status value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded Abnormal state once;

In this embodiment, for each processing node, if an abnormality occurs in the processing, an error message or an error prompt is generated, and the status value of the processing node may be set to an abnormal state value based on the error message or the error prompt, for example, 1", based on the set abnormal state value, the processing node is in an abnormal state once. Otherwise, if no abnormality occurs in the processing, the state value of the processing node may be directly set to a normal state value, for example, set to "0". Or do not do any processing, count the number of times the processing node is in an abnormal state. Specifically, each processing node continuously processes the credit data. If a processing node generates an error and generates an error packet, the status value is set to an abnormal state value, and the processing node is in an abnormal state once, and the subsequent statistical abnormal state number is recorded. Sum=1, the status value is reset to the unset state after recording. The processing node continues to process the credit data. If an abnormality is generated, the status value is set to the abnormal status value again, and the subsequent statistical abnormal status times sum=sum+1, and other processing nodes also count the abnormal status according to the method. frequency.

In an embodiment, the step of processing the credit data includes:

When the collection node collects the credit data, if an acquisition task is interrupted or the credit data of the storage is abnormal, an error message is generated at the collection node, where the collection task is interrupted or the credit data of the storage is abnormal. The code is interrupted during processing.

When the assembled node assembles the collected credit data, the collected credit data is assembled according to the data items and data segments in the predetermined assembly specification (for example, the assembly specification corresponding to the credit system of the People's Bank of China) (post-assembly levy) The letter data is transmitted in the form of a credit message. If there is a missing data item or data segment corresponding to the credit information, for example, if the data item "Resident Identity Card" is missing or the data segment "ID card number" is missing, then the data is The assembly node generates an error message;

When the pre-processing node processes the assembled credit data, the predetermined rule engine (for example, the rule engine corresponding to the credit system of the People's Bank of China) is used to verify the assembled credit data, if there is data corresponding to the data item. The segment does not conform to the predetermined format or logical error between the data segments, etc., for example, the date data segment does not conform to the predetermined format, or the repayment amount is greater than 0 and has expired, but the repayment information is normal as the logic between the data segments. If an error occurs, an error message is generated at the preprocessing node;

When the reporting data is reported by the reporting node, if the reporting task is interrupted, the reporting node generates an error message, and the crediting data to be reported is returned to the assembly node for reassembly, and then the preprocessing node processes The assembled credit data is again reported by the reporting node.

In this embodiment, in the process of counting the number of abnormal states of each processing node, when a certain processing node first generates an abnormal state value, the number of times is 1, and when the abnormal state value is generated again, the number of times is added. 1, according to this superposition analogy, perform statistical operations.

In the timing scanning step, each processing node is periodically scanned by using a preset scanning task, and the number of abnormal states corresponding to each processing node is counted;

In this embodiment, the number of abnormal states corresponding to each processing node is periodically scanned by using a scan task set in advance, for example, the number of abnormal states corresponding to each processing node is scanned every one hour. Because the exceptions of the processing nodes in the process of processing the credit data can be automatically processed without manual intervention, the present embodiment reminds, for example, an abnormality when the number of abnormal states of the processing node is greater than or equal to the preset number. If the number of states is greater than or equal to 5, a reminder message is generated for manual intervention.

Compared with the prior art, the present embodiment divides the processing nodes according to the processing process of the credit information before reporting the credit data, sets the state value at each processing node, and scans each processing by using the scan task when processing the credit data. The number of abnormal state of the node is reminded when the number of abnormal states of the processing node is greater than or equal to the preset number, which can solve the problem of low processing efficiency caused by the existing manual processing of the abnormality of the credit, thereby reducing manual operations and improving credit reporting. Report the effect of abnormal processing efficiency in the process.

In a preferred embodiment, on the basis of the foregoing embodiment of FIG. 1, after the pre-processing node processes the assembled credit information, the corresponding credit data is used in the pre-processing node when the abnormality is not abnormal. Encryption is performed for reporting to the reporting node.

In this embodiment, after the pre-processing node processes the assembled credit information, in order to enhance the security of the credit information, the credit data of the abnormality may be encrypted by using a predetermined encryption rule, and the credit data processing mechanism and the credit information processing mechanism The credit information system stipulates encryption rules, such as encrypting credit data by asymmetric encryption, encrypting with smart contracts, or encrypting and encrypting.

As shown in FIG. 2, FIG. 2 is a schematic flowchart of a method for processing a credit data according to an embodiment of the present invention. The method for processing the credit data includes the following steps:

Step S1: Before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set in each processing node;

In step S2, when the processing node processes the credit data, if the processing node generates an error message, the status value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded in an abnormal state once. ;

In an embodiment, the step of processing the credit data includes:

Step S3: periodically scan each processing node by using a preset scan task, and count the number of abnormal states corresponding to each processing node;

In step S4, if the number of abnormal states of the processing node is greater than or equal to the preset number, a reminder message is generated based on the credit information corresponding to the processing node in the abnormal state to perform manual intervention.

In a preferred embodiment, on the basis of the foregoing embodiment of FIG. 2, after the pre-processing node processes the assembled credit information, the corresponding credit data is used in the pre-processing node when the abnormality is not abnormal. Encryption is performed for reporting to the reporting node.

The present application also provides a computer readable storage medium having stored thereon a processing system, the processing system being executed by a processor to implement the above-described method of credit data processing: in the credit data Each of the processing nodes respectively sets a state value; when each processing node processes the credit data, if a processing node generates an error message, the state value corresponding to the processing node is set to an abnormal state value based on the error message, and the statistics are counted. Processing the number of abnormal state values of the node; using a preset scan task to periodically scan the number of abnormal state values corresponding to each processing node; if the number of abnormal state values of the processing node is greater than or equal to a preset number, based on the processing node The credit information corresponding to the abnormal state value generates a reminder message for manual intervention, and the like.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims

An electronic device, comprising: a memory and a processor coupled to the memory, wherein the memory stores a processing system operable on the processor, the processing system being The processor implements the following steps when it executes:

The state value step is set, before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set in each processing node;

Processing the credit data step: when the processing node processes the credit data, if the processing node generates an error message, the status value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded Abnormal state once;

In the timing scanning step, each processing node is periodically scanned by using a preset scanning task, and the number of abnormal states corresponding to each processing node is counted;

The step of generating a reminder message, if the number of abnormal states of the processing node is greater than or equal to the preset number, generating a reminder message based on the credit information corresponding to the abnormality of the processing node for manual intervention.
The electronic device according to claim 1, wherein the processing node comprises an acquisition node, an assembly node, a preprocessing node, and a reporting node of the credit data.
The electronic device according to claim 2, wherein the step of processing the credit data comprises:

When the collection node collects the credit data, if an acquisition task is interrupted or the credit data of the storage is abnormal, an error message is generated at the collection node;

When the assembled node assembles the collected credit data, the collected credit data is assembled according to the data item and the data segment in the predetermined assembly specification, and if the data item or the data segment lacks the corresponding credit data, the assembly is performed. The node generates an error message.

When the pre-processing node processes the assembled credit data, the assembled rule data is verified by using a predetermined rule engine. If the data segment corresponding to the data item does not conform to the predetermined format or the logic error between the data segments, Then generating an error message at the preprocessing node;

When the reporting data is reported to the reporting node, if the reporting task is interrupted, the reporting node generates an error message, and returns the data to be reported to the assembly node for reassembly.
The electronic device according to claim 3, wherein after the pre-processing node processes the assembled credit information, the corresponding credit data is not encrypted when the pre-processing node is abnormal, and is encrypted by using a predetermined encryption rule for reporting The node is reported.
The electronic device according to claim 3, wherein when the processing system is executed by the processor, the following steps are further implemented: if the processing node does not generate an error message, setting a status value corresponding to the processing node It is a normal status value or is not processed.
A method for processing credit information data, characterized in that the method for processing credit information includes:

S1, before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set at each processing node;

S2, when the processing node processes the credit data, if the processing node generates an error message, the state value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded in an abnormal state once;

S3, periodically scanning each processing node by using a preset scan task, and counting the number of abnormal states corresponding to each processing node;

S4: If the number of abnormal states of the processing node is greater than or equal to a preset number, generating a reminder message based on the credit information corresponding to the processing node in the abnormal state, to perform manual intervention.
The method for processing credit information according to claim 6, wherein the processing node comprises an acquisition node, an assembly node, a preprocessing node, and a reporting node of the credit data.
The method of claim 7 for processing the data according to claim 7, wherein the step S2 comprises:

When the collection node collects the credit data, if an acquisition task is interrupted or the credit data of the storage is abnormal, an error message is generated at the collection node;

When the assembled node assembles the collected credit data, the collected credit data is assembled according to the data item and the data segment in the predetermined assembly specification, and if the data item or the data segment lacks the corresponding credit data, the assembly is performed. The node generates an error message.

When the pre-processing node processes the assembled credit data, the assembled rule data is verified by using a predetermined rule engine. If the data segment corresponding to the data item does not conform to the predetermined format or the logic error between the data segments, Then generating an error message at the preprocessing node;

When the reporting data is reported to the reporting node, if the reporting task is interrupted, the reporting node generates an error message, and returns the data to be reported to the assembly node for reassembly.
The method for processing credit information according to claim 8, wherein after the pre-processing node processes the assembled credit data, the corresponding credit data is processed by using a predetermined encryption rule when the pre-processing node does not have an abnormality. Encrypted for reporting by the reporting node.
The method of claim 8 is characterized in that, after step S1, the method further comprises: if the processing node does not generate an error message, setting a state value corresponding to the processing node to a normal state value or Do not deal with it.
A system for processing credit information data, characterized in that the system for processing credit information includes:

a dividing module, configured to divide the processing nodes according to the processing process of the credit information before reporting the credit data, and respectively set the state values in each processing node;

The processing module is configured to: when the processing node processes the credit data, if the processing node generates an error message, the state value of the processing node is set to an abnormal state value based on the error message, and the processing node is abnormal. State once;

a scanning module, configured to periodically scan each processing node by using a preset scan task, and count the number of abnormal states corresponding to each processing node;

The generating module is configured to generate a reminder message based on the credit information corresponding to the abnormality state of the processing node if the number of abnormal states of the processing node is greater than or equal to a preset number, to perform manual intervention.
The system for processing credit information according to claim 11, wherein the processing node comprises an acquisition node, an assembly node, a preprocessing node, and a reporting node of the credit data.
The system for processing credit information according to claim 12, wherein the processing module is specifically configured to:

When the collection node collects the credit data, if an acquisition task is interrupted or the credit data of the storage is abnormal, an error message is generated at the collection node;

When the assembled node assembles the collected credit data, the collected credit data is assembled according to the data item and the data segment in the predetermined assembly specification, and if the data item or the data segment lacks the corresponding credit data, the assembly is performed. The node generates an error message.

When the pre-processing node processes the assembled credit data, the assembled rule data is verified by using a predetermined rule engine. If the data segment corresponding to the data item does not conform to the predetermined format or the logic error between the data segments, Then generating an error message at the preprocessing node;

When the reporting data is reported to the reporting node, if the reporting task is interrupted, the reporting node generates an error message, and returns the data to be reported to the assembly node for reassembly.
The system for processing credit information according to claim 13, wherein the processing module is further configured to: after the pre-processing node processes the assembled credit data, corresponding to when the pre-processing node does not have an abnormality The credit data is encrypted by using a predetermined encryption rule for reporting by the reporting node.
The system for processing credit information according to claim 13, further comprising a setting module, configured to: if the processing node does not generate an error message, set the state value corresponding to the processing node to a normal state value or not Do the processing.
A computer readable storage medium, wherein the computer readable storage medium stores a processing system, and when the processing system is executed by the processor, the steps are:

The state value step is set, before the credit data is reported, the processing nodes are divided according to the processing process of the credit data, and the state values are respectively set in each processing node;

Processing the credit data step: when the processing node processes the credit data, if the processing node generates an error message, the status value of the processing node is set to an abnormal state value based on the error message, and the processing node is recorded Abnormal state once;

In the timing scanning step, each processing node is periodically scanned by using a preset scanning task, and the number of abnormal states corresponding to each processing node is counted;

The step of generating a reminder message, if the number of abnormal states of the processing node is greater than or equal to the preset number, generating a reminder message based on the credit information corresponding to the abnormality of the processing node for manual intervention.
The computer readable storage medium according to claim 16, wherein the processing node comprises an acquisition node, an assembly node, a preprocessing node, and a reporting node of the credit data.
The computer readable storage medium according to claim 17, wherein the step of processing the credit data comprises:

When the collection node collects the credit data, if an acquisition task is interrupted or the credit data of the storage is abnormal, an error message is generated at the collection node;

When the assembled node assembles the collected credit data, the collected credit data is assembled according to the data item and the data segment in the predetermined assembly specification, and if the data item or the data segment lacks the corresponding credit data, the assembly is performed. The node generates an error message.

When the pre-processing node processes the assembled credit data, the assembled rule data is verified by using a predetermined rule engine. If the data segment corresponding to the data item does not conform to the predetermined format or the logic error between the data segments, Then generating an error message at the preprocessing node;

When the reporting data is reported to the reporting node, if the reporting task is interrupted, the reporting node generates an error message, and returns the data to be reported to the assembly node for reassembly.
The computer readable storage medium according to claim 18, wherein after the pre-processing node processes the assembled credit data, the corresponding credit data is encrypted by using a predetermined encryption rule when the pre-processing node does not have an abnormality. For reporting by the reporting node.
The computer readable storage medium according to claim 18, wherein when the processing system is executed by the processor, the step of: if the processing node does not generate an error message, the processing node corresponds to The status value is set to the normal status value or is not processed.