CN116302863B

CN116302863B - Alarm processing method, device, equipment and computer readable medium

Info

Publication number: CN116302863B
Application number: CN202310572761.3A
Authority: CN
Inventors: 吴中彪; 黄美艺; 方兴; 岳丰; 王丽凯; 张骏仪; 王俊; 李正平; 王太宁
Original assignee: Citic Securities Co ltd
Current assignee: Citic Securities Co ltd
Priority date: 2023-05-22
Filing date: 2023-05-22
Publication date: 2023-07-25
Anticipated expiration: 2043-05-22
Also published as: CN116302863A

Abstract

Embodiments of the present disclosure disclose alarm processing methods, apparatuses, devices, and computer readable media. One embodiment of the method comprises the following steps: acquiring holding data; for each contract identification, determining a group of contract-end value scale information; for each value flow identifier, determining negative correlation end value scale information; generating negative association intermediate information; generating a value negative correlation result according to the negative correlation intermediate information; and controlling the alarm equipment to execute value negative association alarm operation in response to the value negative association result comprising value negative association information representing the non-negative association value, and storing the value circulation combination identification, each value negative association information representing the non-negative association value and each identification information into a non-negative association value knowledge graph. According to the embodiment, automatic value negative association judgment can be realized, the expandability of the value negative association judgment is improved, value negative association alarm prompt can be automatically carried out, and storage resources and memory resources are saved.

Description

Alarm processing method, device, equipment and computer readable medium

Technical Field

Embodiments of the present disclosure relate to the field of computer technology, and in particular, to an alarm processing method, apparatus, device, and computer readable medium.

Background

Value negative correlation is a countermeasures treatment strategy for reducing the potential loss value of a held value. Currently, in generating a determination result of a negative value association, the following methods are generally adopted: manually judging whether the held value is subjected to negative association or binding accounts to carry out simple value negative association distinction, or respectively making different judging modes aiming at different services, and finally uniformly storing judging results (comprising judging results representing the value negative association and judging results not subjected to the value negative association) into the same file for uniform alarming after reading.

However, the inventors found that when the above manner is adopted, there are often the following technical problems:

firstly, manual judgment or methods for making different judgment modes aiming at different services cannot realize automatic value negative association judgment, so that the value negative association judgment is long in time consumption, poor in expandability and uniform in alarm mode, the value negative association alarm prompt cannot be automatically carried out after the judgment of not passing through the value negative association, the stored judgment result representing the value negative association is not applied to the value negative association alarm, more redundant data exists in a file for storing the judgment result, the storage resource is wasted, and the time consumption for inquiring the judgment result is long when the stored judgment result is increased rapidly, so that the memory resource is wasted.

Secondly, according to the judging result, the service line cannot be automatically intercepted with a new order, so that more articles corresponding to the orders of the subsequent service line are accumulated, more articles are accumulated and lost, and when the fact that each order of the service line is negatively associated is confirmed, article scheduling cannot be automatically carried out, so that the accumulation time of the articles in the original warehouse is longer, and more articles are accumulated and lost in the storage position.

Thirdly, the binding account is subjected to simple value negative association distinguishing mode, the lack of data basis leads to poor accuracy of value negative association judgment and more judgment results of judgment errors, so that more judgment results need to be updated in the file, further the occupied time of the file storing the judgment results is longer, and when more judgment results need to be stored, the judgment results need to be stored are blocked.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.

Disclosure of Invention

The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose alarm processing methods, apparatus, devices, and computer readable media to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide an alarm processing method, the method comprising: acquiring value negative correlation configuration information corresponding to a target service and holding data of the target service according to the value negative correlation configuration information, wherein the holding data comprises contract end data and negative correlation end data, the contract end data comprises a contract identification set, the negative correlation end data comprises a value circulation identification set, and the target service corresponds to a service line and value circulation combination identification; for each contract identifier in the contract identifier set, determining each value scale information of each value flow identifier corresponding to the contract identifier as a contract end value scale information group, wherein each value scale information of each value flow identifier corresponding to the contract identifier is each value scale information of each value flow identifier included in the contract information corresponding to the contract identifier, each value flow identifier belongs to the value flow identifier set, and the contract end value scale information in the contract end value scale information group comprises a value flow identifier and a value scale; for each value flow identifier in the value flow identifier set, determining value scale information corresponding to the value flow identifier as negative correlation end value scale information; generating negative association intermediate information according to the holding data, the determined value scale information groups of each contract end and the determined value scale information of each negative association end; generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, wherein the value negative correlation result comprises a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set; and in response to determining that the value negative association result comprises value negative association information representing non-negative association value, controlling alarm equipment corresponding to the service line to execute value negative association alarm operation, and storing the value circulation combination identification, each value negative association information representing non-negative association value and each identification information corresponding to each value negative association information into a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identification or a value circulation identification.

In a second aspect, some embodiments of the present disclosure provide an alarm processing apparatus, the apparatus comprising: an obtaining unit configured to obtain, according to value negative association configuration information of a target service, holding data corresponding to the value negative association configuration information and the target service, where the holding data includes contract end data and negative association end data, the contract end data includes a contract identifier set, the negative association end data includes a value circulation identifier set, and the target service corresponds to a service line and a value circulation combination identifier; a first determining unit configured to determine, for each contract identifier in the contract identifier set, individual value scale information of individual value flow identifiers corresponding to the contract identifiers as a contract-end value scale information group, wherein the individual value scale information of individual value flow identifiers corresponding to the contract identifiers is individual value scale information of individual value flow identifiers included in the contract information corresponding to the contract identifiers, the individual value flow identifiers belong to the value flow identifier set, and the contract-end value scale information in the contract-end value scale information group includes a value flow identifier and a value scale; a second determining unit configured to determine, for each value flow identifier in the value flow identifier set, value scale information corresponding to the value flow identifier as negative-association-side value scale information; a first generation unit configured to generate negative-association intermediate information based on the holding data, the determined individual contract-end value scale information groups, and the determined individual negative-association-end value scale information; a second generation unit configured to generate a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, wherein the value negative correlation result includes a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set; and a control unit configured to control an alarm device corresponding to the service line to execute a value negative association alarm operation in response to determining that the value negative association result includes value negative association information representing a non-negative association value, and store the value flow combination identifier, each value negative association information representing a non-negative association value, and each identification information corresponding to each value negative association information to a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identifier or a value flow identifier.

In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

The above embodiments of the present disclosure have the following advantageous effects: by the alarm processing method of some embodiments of the present disclosure, automatic value negative association judgment can be realized, expandability of value negative association judgment is improved, value negative association alarm prompt can be automatically performed, and storage resources and memory resources are saved. Specifically, the reasons for the failure to realize the automatic value negative association judgment, the poor expandability and the waste of the storage resources and the memory resources are as follows: the method for manually judging or making different judging modes aiming at different services cannot realize automatic value negative association judgment, so that the value negative association judgment is long in time consumption, poor in expandability and uniform in alarming mode, the value negative association alarm prompt cannot be automatically carried out after the judgment of not passing through the value negative association, the stored judgment result representing the value negative association is not applied to the value negative association alarm, more redundant data exist in the file storing the judgment result, the storage resource is wasted, and the time consumption for inquiring the judgment result is long when the stored judgment result is increased suddenly, so that the memory resource is wasted. Based on this, in the alarm processing method according to some embodiments of the present disclosure, first, according to the value negative correlation configuration information of the target service, the holding data corresponding to the value negative correlation configuration information and the target service is obtained. Wherein the holding data includes contract end data and negative association end data. The contract end data includes a contract identification set. The negative association end data comprises a value circulation identification set. The target service corresponds to a service line and value flow combination identifier. Thus, the holding data can characterize the value negative correlation related data of the target business matched according to the value negative correlation configuration information. Then, for each contract identification in the contract identification set, determining each value scale information of each value flow identification corresponding to the contract identification as a contract end value scale information group. Wherein, each value scale information of each value flow identifier corresponding to the contract identifier is each value scale information of each value flow identifier included in the contract information corresponding to the contract identifier. The value flow identifiers belong to the value flow identifier set. The contract end value scale information in the contract end value scale information group comprises a value circulation identification and a value scale. Thus, the respective value scales of the respective value flow identifications included in each contract can be obtained. And then, for each value flow identifier in the value flow identifier set, determining the value scale information corresponding to the value flow identifier as negative correlation end value scale information. Thereby, the value scale of each value flow identification can be obtained. And secondly, generating negative association intermediate information according to the holding data, the determined value scale information groups of each contract end and the determined value scale information of each negative association end. Thus, the negative correlation intermediate information can be used as various intermediate information required for determining the value negative correlation result. And then, generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information. The value negative association result comprises a value negative association information set corresponding to the contract identification set and a value negative association information set corresponding to the value circulation identification set. Thus, it can be individually determined from the dimensions of each contract, each value flow identifier, whether the value has been negatively correlated. And finally, in response to determining that the value negative association result comprises value negative association information representing the non-negative association value, controlling alarm equipment corresponding to the service line to execute value negative association alarm operation, and storing the value circulation combination identifier, each value negative association information representing the non-negative association value and each identification information corresponding to each value negative association information into a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identifier or a value circulation identifier. Therefore, when the target service does not have the associated value, the value-negative association alarm prompt can be automatically carried out through the alarm equipment, and meanwhile, the related information corresponding to each value-negative association information of the non-negative association value can be stored into the knowledge graph, so that the query of the related information of the non-negative association value can be facilitated, and the storage resources and the memory resources are saved. Because the value negative association result is automatically generated, the manual judgment mode can be avoided, the automatic value negative association judgment can be realized, the non-negative association value can be automatically prompted, and the time consumption of the value negative association judgment is reduced. And when the value negative association result is generated, whether the value is negatively associated or not is judged independently from the dimension of each contract and each value circulation identifier by directly utilizing summarized negative association intermediate information instead of adopting a specific judgment mode according to the service line, and when the value negative association result is updated, the value negative association judgment can be realized by only acquiring the held data according to the value negative association configuration information, so that the expandability of the value negative association judgment is improved. Therefore, automatic value negative association judgment can be realized, time consumption of value negative association judgment is reduced, expandability of value negative association judgment is improved, value negative association alarm prompt can be automatically carried out, and storage resources and memory resources are saved.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of some embodiments of an alarm processing method according to the present disclosure;

FIG. 2 is a schematic diagram of some embodiments of an alarm processing device according to the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

Operations such as collection, storage, use, etc. of personal information (e.g., holding data) of a user involved in the present disclosure, and before performing the corresponding operations, the relevant organization or individual is up to the end to include carrying out personal information security impact assessment, fulfilling informed obligations to the personal information body, obtaining authorized consent of the personal information body in advance, etc.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates a flow 100 of some embodiments of an alarm processing method according to the present disclosure. The alarm processing method comprises the following steps:

step 101, obtaining corresponding value negative correlation configuration information and holding data of the target service according to the value negative correlation configuration information of the target service.

In some embodiments, an executing body (for example, a computing device) of the alarm processing method may acquire, according to the value negative association configuration information of the target service, the value negative association configuration information and the holding data of the target service from a database through a wired connection manner or a wireless connection manner. Wherein, the target service can be a derivative service. For example, the derivative service may be a bulk item derivative service. The target service corresponds to a service line and value flow combination identifier. The value negative association configuration information may be relevant configuration information that determines a value negative association (e.g., risk hedging). The value negative association configuration information may include, but is not limited to, at least one of the following: principal name, business line name, value flow combination identification, system information, account information, value type information. The subject name may be a full name of the subject (for example, company name). The above-described service line names may be used to represent service lines. The value flow portfolio identification can be used to uniquely represent a combination of contracts, value flow identifications (e.g., portfolio identifications). Here, the contract may be a derivative contract. The value flow identifier may uniquely represent an object of the flow (e.g., a security identifier). The system information may represent a bookkeeping system. The system information may include a contract-end bookkeeping system name and a negative-associated-end bookkeeping system name (e.g., the negative-associated-end bookkeeping system name may be an opposite-end bookkeeping system name). The account information may include a list of contracted end accounts and a list of negatively associated end accounts (e.g., the list of negatively associated end accounts may be a list of hedging end accounts). The value type information may represent a value type (e.g., asset type). The value type information may include a contract end value type and a negative association end value type (e.g., the negative association end value type may be a heddle value type). In practice, the executing entity may acquire, as the holding data corresponding to the value negative association configuration information and the target service, holding data (for example, holding data) corresponding to the corresponding entity name, service line name, value flow combination identifier, system information, account information, and value type information, where the entity name, service line name, value flow combination identifier, system information, account information, and value type information are included in the value negative association configuration information.

The holding data may include contract side data and negative association side data. The contract end data may include a contract identification set. The contract identification set may characterize individual derivative contracts that are matched according to the hedging configuration information. The negative-side data may include a set of value-stream identifications (e.g., individual securities of the hedging side). The value flow identification set may characterize each value flow identification matched according to the value negative association configuration information.

It should be noted that the wireless connection may include, but is not limited to, 3G/4G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.

Step 102, for each contract identifier in the contract identifier set, determining each value scale information of each value flow identifier corresponding to the contract identifier as a contract end value scale information group.

In some embodiments, for each contract identification in the contract identification set, the executing entity may determine, as a contract-end value scale information group, respective value scale information of respective value flow identifications corresponding to the contract identifications. Wherein, each value scale information of each value flow identifier corresponding to the contract identifier is each value scale information of each value flow identifier included in the contract information corresponding to the contract identifier. Specifically, each value flow identifier corresponding to the contract identifier may be each target value flow identifier (e.g., target securities) included in the derivative contract corresponding to the contract identifier. The value scale information corresponding to the value flow identifiers of the contract identifier may be value scale related information corresponding to the value flow identifier of the standard of the derivative contract. The value scale information of the contract end in the value scale information group of the contract end may include a value circulation identifier and a value scale (for example, an investment scale, when the value type of the hedging end is a bond type, the value scale of the hedging end may be an estimate of the bond or a market value, and the value scale of the contract end may be Delta).

Step 103, for each value flow identifier in the value flow identifier set, determining the value scale information of the corresponding value flow identifier as negative correlation end value scale information.

In some embodiments, for each value flow identifier in the value flow identifier set, the executing entity may determine value scale information corresponding to the value flow identifier as negative-association-side value scale information. In practice, the executing entity may determine the value scale information corresponding to the value circulation identifier according to the value type of the negative association end (for example, when the value type of the opposite-impact end is the bond type, the value scale information corresponding to the value circulation identifier may be an estimated value or a market value of the value circulation identifier). The value scale information may include a value scale.

And 104, generating negative association intermediate information according to the holding data, the determined value scale information groups of each contract end and the determined value scale information of each negative association end.

In some embodiments, the executing entity may generate negative-association intermediate information according to the holding data, the determined respective contract end value scale information groups, and the determined respective negative-association end value scale information.

In some optional implementations of some embodiments, first, for each of the respective contract end value scale information groups, the executing entity may insert, as one table row of the corresponding contract end, a contract identification corresponding to the contract end value scale information group and the contract end value scale information group into a negative-association intermediate table. In practice, the execution body may use the contract identifier and the contract end value scale information as field values of two cells to form a table row corresponding to the contract end. The combined table row corresponding to the contract end may then be inserted into the negative association middle table at the location of the corresponding contract end. It should be noted that, in the initial state, the negative association middle table may be an empty table of the table row to be filled.

Then, for each piece of negative-association-end value scale information in the pieces of negative-association-end value scale information, the value flow identifier corresponding to the negative-association-end value scale information and the negative-association-end value scale information may be inserted into a negative-association intermediate table as one table row corresponding to a negative association end (e.g., a hedging end). In practice, the executing body may respectively use the value flow identifier and the value scale information of the negative association end as field values of two cells to form a table row corresponding to the negative association end. The combined table row of the corresponding negative-associated end may then be inserted into the position of the corresponding negative-associated end in the negative-associated middle table.

The negative association intermediate table into which each table row is inserted may then be determined as negative association intermediate information. Thus, the negative-association intermediate information can be stored in the form of a canonical table.

And 105, generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information.

In some embodiments, the executing entity may generate a value negative association result corresponding to the target service according to the negative association intermediate information. The value negative association result may include a value negative association information set corresponding to the contract identification set and a value negative association information set corresponding to the value circulation identification set. The contract identifications in the contract identification set are in one-to-one correspondence with the value negative association information in the corresponding value negative association information set.

In some optional implementations of some embodiments, the executing entity may generate a value negative association result corresponding to the target service according to the negative association intermediate information by:

and determining each table row of the corresponding negative association end included in the negative association intermediate information as a negative association end data row set.

And step two, grouping the negative association end data line set to obtain a negative association end data line set. Wherein the negative association end data line group in the negative association end data line group set corresponds to the same value flow identifier. In practice, the execution body may divide each negative association end data line corresponding to the same value flow identifier into the same negative association end data line group, so as to obtain a negative association end data line group set.

And thirdly, summarizing the negative association end data line groups for each negative association end data line group in the negative association end data line group set so as to update the negative association intermediate information. The negative association end value scale information included in the summarized negative association end data line group is the sum of the negative association end value scale information included in the negative association end data line group. In practice, the execution body may combine the negative-association-side data rows into one row, and the negative-association-side value scale information of the combined row is the sum of the negative-association-side value scale information included in the negative-association-side data row group.

And step four, generating a value negative correlation result corresponding to the target service according to the updated negative correlation intermediate information.

Optionally, before the fourth step, first, for each value flow identifier included in the negative association intermediate information, the executing body may further execute the following steps:

first, determining whether the same value flow identifier comparison information set contains the same value flow identifier comparison information of the value flow identifier contained in the value flow identifier set. Wherein the set of value flow identification reference information may be reference information characterizing the same value flow identification (e.g., the same subject security). The same value flow identification reference information set may be stored in the form of a table. The same value flow identification comparison information in the same value flow identification comparison information set may include a replacement value flow identification and a value flow identification set. The alternative value flow identification may be a representation of the actual characterized value flow identification. The set of value flow identifications may be individual value flow identifications that need to be mapped to alternate value flow identifications. For example, the value flow identification set may be "UND1-1, UND1-2, UND1-3". The corresponding alternate value stream identifier may be UND1.

And a second step of determining the same value flow identification control information as target same value flow identification control information in response to determining that the value flow identification set included in the same value flow identification control information set contains the same value flow identification control information of the value flow identification.

And thirdly, replacing the value flow identifier in the negative correlation intermediate information with a replacement value flow identifier included in the target same value flow identifier comparison information so as to update the negative correlation intermediate information. Therefore, the value flow identification in the negative correlation intermediate information can be standardized, namely, the value flow identification belonging to the same target can be updated to the same identification representation.

In some optional implementations of some embodiments, the executing entity may generate a value negative association result corresponding to the target service according to the updated negative association intermediate information by:

the first step, for each value circulation identifier of the corresponding negative correlation terminal included in the updated negative correlation intermediate information, executing the following steps:

and a first sub-step of determining the negative correlation end value scale information corresponding to the value flow identifier as target value scale information.

And a second sub-step of determining the contract end value scale information corresponding to the value flow identifier as target value scale information.

And a third sub-step of combining the determined individual target value scale information into a target value scale information set.

And a fourth sub-step of selecting target value scale information meeting preset multiparty conditions from the target value scale information set as multiparty value scale information to obtain a multiparty value scale information set. The preset multiparty condition may be that the value scale included in the target value scale information is greater than 0.

And a fifth sub-step of selecting target value scale information meeting preset blank party conditions from the target value scale information set as blank party value scale information to obtain a blank party value scale information set. The preset blank condition may be that the value scale included in the target value scale information is smaller than 0.

And a sixth sub-step of generating multi-party value total scale information according to each multi-party value scale information included in the multi-party value scale information set. In practice, the executing entity may determine the sum of the respective value scales included in the respective multiparty value scale information as multiparty value total scale information.

And a seventh sub-step of generating the total size information of the air party value according to the air party value size information included in the air party value size information set. In practice, the executing entity may determine the sum of the respective value scales included in the respective empty party value scale information as empty party value total scale information.

And an eighth sub-step of determining the absolute value of the ratio of the multiparty value total scale information to the space value total scale information as the multiple space ratio information.

And a ninth substep, generating value negative association information corresponding to the value circulation identifier according to the multiple space ratio information. In practice, first, the execution body may determine whether the multiple space ratio information is within a preset ratio range. The preset scale range may be a scale range for determining whether the associated value has been negatively (e.g., risk hedging has been performed). For example, the predetermined ratio range may be [80%,125% ]. Then, in response to determining that the multiple space ratio information is within the preset ratio range, preset first information representing the negatively associated value can be determined as value negatively associated information corresponding to the value circulation identifier. The preset first information may be information representing the value of the association already being negative. For example, the preset first information may be "hedging risk". And secondly, in response to determining that the multi-space ratio information is not in the preset ratio range, determining preset second information representing non-negatively-associated value as risk hedging information corresponding to the value circulation identification. The preset second information may be information representing a non-negative association value. For example, the preset second information may be "no risk of hedging".

And a second step of determining each generated value negative association information as a value negative association information set corresponding to the value circulation identification set.

Third, for each contract identification in the contract identification set, the following steps are performed:

a first sub-step of determining value negative correlation information of each value flow identifier corresponding to the contract identifier as value negative correlation information corresponding to the contract identifier and the value flow identifier.

And a second sub-step of determining the value negative association information corresponding to the contract identification as the value negative association information representing the non-negative association value in response to determining that the value negative association information representing the non-negative association value exists in the determined value negative association information corresponding to the contract identification.

A third sub-step of determining, in response to determining that each of the determined value negative association information corresponding to the contract identification characterizes the already-negatively-associated value, value negative association information corresponding to the contract identification as value negative association information characterizing the already-negatively-associated value.

And step four, determining the determined value negative association information corresponding to each contract identifier as a value negative association information set corresponding to the contract identifier set.

And fifthly, determining a value negative association information set corresponding to the contract identification set and a value negative association information set corresponding to the value circulation identification set as a value negative association result corresponding to the target service.

The first step-the fifth step are taken as an invention point of the embodiment of the disclosure, solve the technical problem mentioned in the background art, namely, the three binding accounts are subjected to simple value negative association distinguishing mode, lack of data basis, poor accuracy of value negative association judgment, more judgment results of judgment errors are caused, more judgment results to be updated in files are caused, further, the occupied time of the files storing the judgment results is caused to be longer, and when the judgment results to be stored are more, the judgment results to be stored are blocked. Factors that lead to poor accuracy of the value negative correlation determination tend to be as follows: the binding account lacks data basis in a simple value negative association distinguishing way. If the above factors are solved, the effect of improving the accuracy of the value negative correlation determination can be achieved. To achieve this effect, the present disclosure introduces multiple air-space ratio information, through which a decision of a value negative correlation can be automatically made. And because the multi-space ratio information is generated on the basis of holding data, the method has data support and improves the accuracy of value negative association judgment. Therefore, the judgment result of judgment errors and the judgment result to be updated in the file are reduced, and the occupied time of the file and the blockage of the judgment result to be stored are further reduced.

Optionally, first, the executing entity may further determine, as the value non-negative association information, value negative association information that characterizes the non-negative association value in the value negative association information included in the value negative association result, to obtain a value non-negative association information set. Then, the contract identifier or the value circulation identifier corresponding to the value non-negative association information in the value non-negative association information set can be determined as the non-negative association identifier, so as to obtain a non-negative association identifier set. Then, for each non-negative association identifier in the non-negative association identifier set, non-negative association information may be generated according to the non-negative association identifier, the value type corresponding to the non-negative association identifier, and the system name. When the non-negative association identifier is a contract identifier, the value type and the system name corresponding to the non-negative association identifier may be a contract-end value type and a contract-end bookkeeping system name. When the non-negative association identifier is a value flow identifier, the value type and the system name corresponding to the non-negative association identifier may be a negative association end value type and a negative association end bookkeeping system name. In practice, the executing entity may combine the non-negative association identifier, the value type corresponding to the non-negative association identifier, and the system name into non-negative association information. Finally, each generated non-negatively associated information may be transmitted to the target terminal. The target terminal may be a terminal device for monitoring the target service. Therefore, the user of the target terminal can be informed of contracts and value circulation identifications which are not subjected to value negative association.

Alternatively, first, for each target service corresponding to a target subject, the above-described execution subject may execute the following steps:

and a first step of determining a value object set of the target service. The target subject may be a subject (for example, a company) to which the target service belongs. The respective target services corresponding to the target subject may be respective target services under the target subject. The value object set may include a value flow identification set and a contract identification set corresponding to the target business. The value object may be a value flow identification or a contract identification.

And a second step of determining, for each value object in the value object set, a negative association value occupation ratio corresponding to the value object according to the value negative association information of the value object and the value type of the value object. In practice, the executing entity may determine a negative association value occupation ratio (e.g., a risk value occupation ratio) according to the value negative association information and the value type corresponding to the value object. The occupation proportion of the negative association value corresponding to the different value types and the negative association value is not limited, and the occupation proportion can be preset.

The resulting sum of the respective negative associated value occupancy ratios may then be determined as the negative associated value occupancy total ratio.

Then, the negative association total value can be determined according to the negative association value occupation total proportion. In practice, the executing entity may determine the product of the negative associated value occupation total proportion and the held total value (e.g., held capital) of the target entity as the negative associated total value.

Then, a negative link coverage may be generated based on the net value of the target subject and the negative link total value. Where the net value may be the difference in the net asset and the negative associated value (net capital). In practice, the executive may determine the ratio of the net value to the negative associated total value as a negative associated coverage.

And then, in response to determining that the negative correlation coverage rate is greater than or equal to a first preset negative correlation coverage rate and less than a second preset negative correlation coverage rate, sending value negative correlation early warning information to at least one target user account corresponding to the target subject. Wherein the at least one target user account satisfies a preset permission condition. The first predetermined negative correlation coverage rate may be smaller than the second predetermined negative correlation coverage rate. For example, the first preset negative correlation coverage may be 100%. The second preset negative correlation coverage may be 120%. The value negative correlation early warning information may be preset information for early warning of the negative correlation coverage of the target subject. At least one target user account corresponding to the target subject can be an account of a user who meets the preset permission condition and processes the value circulation condition of the target subject. The preset permission condition can be permission for viewing and processing the value circulation condition of the user account.

And secondly, transmitting value negative correlation alarm information to the supervision server in response to the fact that the negative correlation coverage rate is smaller than the first preset negative correlation coverage rate. The value negative correlation alarm information may be preset information for alarming the negative correlation coverage of the target subject. The supervision server may be a background server for supervising the value negative association status of each subject. Therefore, the value negative correlation overall condition of the main body can be automatically pre-warned and alarmed.

And step 106, in response to the fact that the value negative association result comprises the value negative association information representing the non-negative association value, controlling the alarm equipment corresponding to the business line to execute value negative association alarm operation, and storing the value circulation combination identification, each value negative association information representing the non-negative association value and each identification information corresponding to each value negative association information to the non-negative association value knowledge graph corresponding to the target business.

In some embodiments, the executing entity may control the alarm device corresponding to the service line to execute a value negative association alarm operation in response to determining that the value negative association result includes value negative association information representing a non-negative association value, and store the value flow combination identifier, each value negative association information representing a non-negative association value, and each identification information corresponding to each value negative association information to a non-negative association value knowledge graph corresponding to the target service. The alarm device corresponding to the service line may be a terminal device in which a user account of a user monitoring operation of the service line is logged in. The identification information in each identification information can be a contract identification or a value circulation identification. It is understood that when the value negative association information corresponds to a contract identifier, the identification information corresponding to the value negative association information is the contract identifier. When the value negative association information corresponds to the value circulation identifier, the identifier information corresponding to the value negative association information is the value circulation identifier. The knowledge graph with the undesireable association value can be a knowledge graph constructed for the identification information with the undesireable association value of the target service. Here, the knowledge patterns of the undesireable associated values may be stored in the graph database. In practice, the executing body may control the alarm device to vibrate in a preset vibration manner and display the value negative correlation result, so as to prompt the user corresponding to the service line to view the value negative correlation result. Then, for each value negative correlation information in the respective value negative correlation information, the executing entity may use the value flow combination identifier as a first entity, use the identifier information corresponding to the value negative correlation information as a second entity, use the value negative correlation information as an entity relationship, and add the value negative correlation information to a pre-constructed non-negative correlation value knowledge graph of the target service, so as to update the non-negative correlation value knowledge graph.

Optionally, each value object corresponding to the business line includes an item value object. The item value object corresponds to a warehouse order. The value objects corresponding to the service line may be the value objects corresponding to the service line and being placed in the order. Here, the value object in the respective value objects may be a contract identification or a value flow identification. The item value object may be a contract identification or a value flow identification that targets the item as a value flow. For example, the item value object may be an item futures contract identification or an item spot contract identification. The warehouse order may be document-related information in the warehouse for orders placed for item value objects.

Optionally, the above execution body may further execute the following steps:

in the first step, in response to determining that the value negative association result includes value negative association information representing non-negative association value, and detecting an order initiating request of a target object of the target object value corresponding to the business line, value scale information of an order corresponding to the order initiating request is determined. Wherein, the target object value object may be an object value object newly selected under the business line. An order initiation request corresponding to the target item value object may be a request to submit an order for a representation initiated for the target item value object. Here, the value scale information of the order may be a total value of each item to which the order corresponds.

And secondly, in response to determining that the value scale information of the order is larger than a preset value scale, intercepting the order initiating request. In practice, the execution subject may set the delay time of the order initiation request to a target duration. The target duration may be a preset maximum duration, so that the order initiation request cannot be normally sent to the target server. The specific setting of the target time length and the preset value scale is not limited. Therefore, when the business line has the value object with the non-negative correlation, the order initiating request with the larger value scale can be intercepted, so that the order with the larger value scale can be intercepted.

And thirdly, transmitting the order initiating request to a target server in response to determining that the value scale information of the order is smaller than or equal to the preset value scale. The target server may be a server that processes an order initiation request corresponding to the target item value object.

And a fourth step of determining each item value object corresponding to the business line as an item value object set in response to determining that no value negative association information representing a non-negative association value exists in the value negative association result.

And fifthly, selecting the article value object meeting the preset warehouse order delivery condition from the article value object set as a first article value object to obtain a first article value object set. The preset warehouse order delivery conditions can be that warehouse orders corresponding to the article value objects are delivered in a warehouse order delivery mode.

And sixthly, selecting the article value object meeting the preset warehouse order transportation condition from the article value object set as a second article value object to obtain a second article value object set. The preset warehouse order transportation condition can be that the warehouse order corresponding to the object of the article value flows in an article transportation mode.

Seventh, for each first article value object in the first article value object set, a warehouse order delivery request corresponding to a target warehouse order is sent to a warehouse server corresponding to the target warehouse order, so as to receive article credential information corresponding to the target warehouse order sent by the warehouse server. Wherein the target warehouse order is a warehouse order corresponding to the first article value object. The warehouse order delivery request may be a request to be circulated in a warehouse order delivery manner. The article credential information may be credential-related information characterizing that an article corresponding to a warehouse order is attributed to a target subject corresponding to the business line. Thus, when the business line does not have the value object which is not negatively related to the value, the warehouse order of the article value object which needs to be subjected to the warehouse order delivery can be subjected to the warehouse order delivery.

Eighth, for each second item value object in the set of second item value objects, controlling an associated item transport facility to transport respective items of the warehouse order corresponding to the second item value object to a target location. Wherein, above-mentioned article transportation equipment can be intelligent transportation equipment. For example, the item transport device may be an unmanned transport vehicle. The target location may be a preset address for storing the article, or may be a receiving address included in the warehouse order.

The first step to the eighth step are taken as an invention point of the embodiment of the present disclosure, and solve the second technical problem mentioned in the background art, that "the service line cannot be automatically intercepted according to the determination result, so that more articles corresponding to the subsequent orders of the service line are stacked, causing more articles to be stacked and lost, and the articles cannot be automatically scheduled when it is determined that each order of the service line has undergone negative association, resulting in longer stacking time of the articles in the original warehouse, and more stacking and lost of the articles in the storage position. Factors that lead to the accumulation and depletion of articles tend to be as follows: according to the judging result, the service line cannot be automatically intercepted with a new order, so that more articles corresponding to the orders of the subsequent service line are accumulated, more articles are accumulated and consumed, and when the fact that each order of the service line is in negative association is confirmed, article scheduling cannot be automatically carried out, so that the accumulation time of the articles in the original warehouse is longer, and more articles are accumulated and consumed at the storage position. If the above factors are solved, the effects of reducing the accumulation and loss of the articles can be achieved. To achieve this, the present disclosure intercepts an order initiation request of a larger value scale to intercept an order of a larger value scale when there is a value object for which the value is not negatively associated with the business line. Therefore, the service line can be automatically intercepted by the new bill according to the judging result, and the accumulation and the loss of articles corresponding to the new bill are reduced. And when no value object with undesireable value exists in the business line, automatically carrying out article transportation on the warehouse order of the article value object to be carried out article transportation. And because the value negative association judgment is carried out when the article is transported, the article is transported only when no value object with non-negative association exists in the business line, and the flow rate of the transported article in the subsequent stage is improved. Thereby reducing the accumulation and loss of the articles in the storage position and saving the storage space in the storage position.

With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides some embodiments of an alarm processing apparatus, which correspond to those method embodiments shown in fig. 1, and which are particularly applicable in various electronic devices.

As shown in fig. 2, the alarm processing apparatus 200 of some embodiments includes: an acquisition unit 201, a first determination unit 202, a second determination unit 203, a first generation unit 204, a second generation unit 205, and a control unit 206. The acquiring unit 201 is configured to acquire, according to value negative association configuration information of a target service, holding data corresponding to the value negative association configuration information and the target service, where the holding data includes contract end data and negative association end data, the contract end data includes a contract identifier set, the negative association end data includes a value circulation identifier set, and the target service corresponds to a service line and a value circulation combination identifier; the first determining unit 202 is configured to determine, for each contract identifier in the contract identifier set, respective value scale information of respective value flow identifiers corresponding to the contract identifiers as a contract-end value scale information group, wherein the respective value scale information of the respective value flow identifiers corresponding to the contract identifiers is respective value scale information of respective value flow identifiers included in the contract information corresponding to the contract identifiers, the respective value flow identifiers belong to the value flow identifier set, and the contract-end value scale information in the contract-end value scale information group includes a value flow identifier and a value scale; the second determining unit 203 is configured to determine, for each value flow identifier in the value flow identifier set, value scale information corresponding to the value flow identifier as negative-association-end value scale information; the first generation unit 204 is configured to generate negative-association intermediate information based on the above-described holding data, the determined respective contract-end value scale information groups, and the determined respective negative-association-end value scale information; the second generating unit 205 is configured to generate a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, where the value negative correlation result includes a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set; the control unit 206 is configured to control the alarm device corresponding to the service line to perform a value-negative association alarm operation in response to determining that the value-negative association result includes value-negative association information indicating a non-negative association value, and store the value-flow combination identifier, each value-negative association information indicating a non-negative association value, and each identification information corresponding to each value-negative association information to a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identifier or a value-flow identifier.

It will be appreciated that the elements described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above for the method are equally applicable to the apparatus 200 and the units contained therein, and are not described in detail herein.

Referring now to fig. 3, a schematic diagram of an electronic device 300 (e.g., a computing device) suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means 301 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.

It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring value negative correlation configuration information corresponding to a target service and holding data of the target service according to the value negative correlation configuration information, wherein the holding data comprises contract end data and negative correlation end data, the contract end data comprises a contract identification set, the negative correlation end data comprises a value circulation identification set, and the target service corresponds to a service line and value circulation combination identification; for each contract identifier in the contract identifier set, determining each value scale information of each value flow identifier corresponding to the contract identifier as a contract end value scale information group, wherein each value scale information of each value flow identifier corresponding to the contract identifier is each value scale information of each value flow identifier included in the contract information corresponding to the contract identifier, each value flow identifier belongs to the value flow identifier set, and the contract end value scale information in the contract end value scale information group comprises a value flow identifier and a value scale; for each value flow identifier in the value flow identifier set, determining value scale information corresponding to the value flow identifier as negative correlation end value scale information; generating negative association intermediate information according to the holding data, the determined value scale information groups of each contract end and the determined value scale information of each negative association end; generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, wherein the value negative correlation result comprises a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set; and in response to determining that the value negative association result comprises value negative association information representing non-negative association value, controlling alarm equipment corresponding to the service line to execute value negative association alarm operation, and storing the value circulation combination identification, each value negative association information representing non-negative association value and each identification information corresponding to each value negative association information into a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identification or a value circulation identification.

Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++, SQL and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a first determination unit, a second determination unit, a first generation unit, a second generation unit, and a control unit. The names of the units are not limited to the unit itself in some cases, and for example, the acquisition unit may be further described as "a unit that acquires the value negative-association configuration information and the holding data of the target service according to the value negative-association configuration information of the target service".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. An alarm processing method, comprising:

acquiring holding data corresponding to value negative correlation configuration information and target service according to the value negative correlation configuration information of the target service, wherein the holding data comprises contract end data and negative correlation end data, the contract end data comprises a contract identification set, the negative correlation end data comprises a value circulation identification set, and the target service corresponds to a service line and value circulation combination identification;

for each contract identifier in the contract identifier set, determining each value scale information of each value flow identifier corresponding to the contract identifier as a contract end value scale information group, wherein each value scale information of each value flow identifier corresponding to the contract identifier is each value scale information of each value flow identifier included in the contract information corresponding to the contract identifier, each value flow identifier belongs to the value flow identifier set, and the contract end value scale information in the contract end value scale information group comprises a value flow identifier and a value scale;

for each value flow identifier in the value flow identifier set, determining value scale information corresponding to the value flow identifier as negative correlation end value scale information;

Generating negative association intermediate information according to the holding data, the determined value scale information groups of each contract end and the determined value scale information of each negative association end;

generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, wherein the value negative correlation result comprises a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set;

and in response to determining that the value negative association result comprises value negative association information representing non-negative association value, controlling alarm equipment corresponding to the service line to execute value negative association alarm operation, and storing the value circulation combination identification, each value negative association information representing non-negative association value and each identification information corresponding to each value negative association information into a non-negative association value knowledge graph corresponding to the target service, wherein the identification information in each identification information is a contract identification or a value circulation identification.

2. The method of claim 1, wherein each value object corresponding to the business line comprises an item value object, the item value object corresponding to a warehouse order; and

The method further comprises the steps of:

in response to determining that the value negative association result comprises value negative association information representing non-negative association value, and detecting an order initiating request of a target article value object corresponding to the business line, determining value scale information of an order corresponding to the order initiating request;

in response to determining that the value scale information of the order is greater than a preset value scale, intercepting the order initiating request;

in response to determining that the value scale information of the order is less than or equal to the preset value scale, sending the order initiation request to a target server;

responsive to determining that there is no value-negative correlation information in the value-negative correlation results that characterizes the non-negative correlation values, determining individual item-value objects corresponding to the business lines as an item-value object set;

selecting an article value object meeting a preset warehouse order delivery condition from the article value object set as a first article value object to obtain a first article value object set;

selecting an article value object meeting the preset warehouse order transportation condition from the article value object set as a second article value object to obtain a second article value object set;

For each first article value object in the first article value object set, sending a warehouse order delivery request corresponding to a target warehouse order to a warehouse server corresponding to the target warehouse order so as to receive article credential information corresponding to the target warehouse order sent by the warehouse server, wherein the target warehouse order is a warehouse order corresponding to the first article value object;

for each second item value object in the set of second item value objects, controlling an associated item transport facility to transport a respective item of a warehouse order corresponding to the second item value object to a target location.

3. The method of claim 1, wherein the method further comprises:

determining value negative association information representing non-negative association value in all value negative association information included in the value negative association result as value non-negative association information, and obtaining a value non-negative association information set;

determining a contract identifier or a value circulation identifier corresponding to the value non-negative association information in the value non-negative association information set as a non-negative association identifier to obtain a non-negative association identifier set;

For each non-negative association identifier in the non-negative association identifier set, generating non-negative association information according to the non-negative association identifier, the value type corresponding to the non-negative association identifier and the system name;

and sending the generated non-negative association information to the target terminal.

4. The method of claim 1, wherein the generating negative-association intermediate information from the holding data, the determined respective groups of contract-end value scale information, and the determined respective negative-association-end value scale information comprises:

for each contract end value scale information group in the contract end value scale information groups, inserting a contract identification corresponding to the contract end value scale information group and the contract end value scale information group into a negative association intermediate table as one table row of a corresponding contract end;

for each piece of negative association end value scale information in the negative association end value scale information, inserting a value flow identifier corresponding to the negative association end value scale information and the negative association end value scale information into a negative association intermediate table as a table row corresponding to the negative association end;

the negative correlation intermediate table into which each table row is inserted is determined as negative correlation intermediate information.

5. The method of claim 4, wherein the generating a value negative correlation result corresponding to the target service according to the negative correlation intermediate information comprises:

determining each table row of the corresponding negative association terminal included in the negative association intermediate information as a negative association terminal data row set;

grouping the negative association end data line sets to obtain negative association end data line set sets, wherein the negative association end data line sets in the negative association end data line set correspond to the same value flow identifier;

summarizing each negative association end data row group in the negative association end data row group set to update negative association intermediate information, wherein negative association end value scale information included in the summarized negative association end data row group is the sum of negative association end value scale information included in the negative association end data row group;

and generating a value negative correlation result corresponding to the target service according to the updated negative correlation intermediate information.

6. The method of claim 5, wherein prior to generating a value negative correlation result corresponding to the target service from the updated negative correlation intermediate information, the method further comprises:

For each value flow identifier included in the negative association intermediate information, executing the following steps:

determining whether the same value flow identification comparison information set contains the same value flow identification comparison information of the value flow identification, wherein the same value flow identification comparison information in the same value flow identification comparison information set comprises a replacement value flow identification and a value flow identification set;

in response to determining that the same value flow identification comparison information comprising the value flow identification is included in the value flow identification set, the same value flow identification comparison information is determined to be target same value flow identification comparison information;

and replacing the value flow identifier in the negative association intermediate information with a replacement value flow identifier included in the target same value flow identifier comparison information so as to update the negative association intermediate information.

7. The method of claim 2, wherein the method further comprises:

for each target service corresponding to the target subject, the following steps are performed:

Determining a value object set of the target service;

for each value object in the value object set, determining a negative association value occupation ratio corresponding to the value object according to the value negative association information of the value object and the value type of the value object;

determining the sum of the obtained negative association value occupation ratios as the total negative association value occupation ratio;

determining the negative association total value according to the total proportion occupied by the negative association value;

generating a negative correlation coverage rate according to the net value of the target subject and the negative correlation total value;

in response to determining that the negative association coverage rate is greater than or equal to a first preset negative association coverage rate and less than a second preset negative association coverage rate, sending value negative association early warning information to at least one target user account corresponding to the target subject, wherein the at least one target user account meets a preset permission condition;

and transmitting value negative correlation alarm information to a supervision server in response to determining that the negative correlation coverage rate is smaller than the first preset negative correlation coverage rate.

8. An alarm processing apparatus comprising:

the system comprises an acquisition unit, a value transfer unit and a value transfer unit, wherein the acquisition unit is configured to acquire value negative association configuration information corresponding to a target service and holding data of the target service according to the value negative association configuration information, the holding data comprises contract end data and negative association end data, the contract end data comprises a contract identification set, the negative association end data comprises a value transfer identification set, and the target service corresponds to a service line and value transfer combination identification;

A first determining unit configured to determine, for each contract identifier in the contract identifier set, respective value scale information of respective value flow identifiers corresponding to the contract identifiers as a contract-end value scale information group, wherein the respective value scale information of the respective value flow identifiers corresponding to the contract identifiers is respective value scale information of respective value flow identifiers included in the contract information corresponding to the contract identifiers, the respective value flow identifiers belonging to the value flow identifier set, and the contract-end value scale information in the contract-end value scale information group includes a value flow identifier and a value scale;

a second determining unit configured to determine, for each value flow identifier in the value flow identifier set, value scale information corresponding to the value flow identifier as negative-association-end value scale information;

a first generation unit configured to generate negative-association intermediate information based on the holding data, the determined respective contract-end value scale information groups, and the determined respective negative-association-end value scale information;

a second generation unit configured to generate a value negative correlation result corresponding to the target service according to the negative correlation intermediate information, wherein the value negative correlation result includes a value negative correlation information set corresponding to the contract identification set and a value negative correlation information set corresponding to the value circulation identification set;

And a control unit configured to control an alarm device corresponding to the business line to execute a value negative association alarm operation in response to determining that the value negative association result includes value negative association information representing a non-negative association value, and store the value circulation combination identifier, each value negative association information representing the non-negative association value, and each identification information corresponding to each value negative association information to a non-negative association value knowledge graph corresponding to the target business, wherein the identification information in each identification information is a contract identifier or a value circulation identifier.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-7.

10. A computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-7.