CN117114421B - Enterprise risk data monitoring and management method and device - Google Patents
Enterprise risk data monitoring and management method and device Download PDFInfo
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Abstract
The invention provides an enterprise risk data monitoring and managing method and device, which are used for extracting information from a scanned file to obtain basic information and project node information or time node information, and generating a corresponding project progress axis or monitoring time axis according to the project node information or the time node information; filling basic information into a basic monitoring area, and filling a project progress axis or a monitoring time axis into a node monitoring area to generate a current monitoring interface; the first risk monitoring model is called, a project progress axis or a monitoring time axis is monitored according to the current time and the real-time progress information to generate first monitoring data, and a first monitoring result is output when the first monitoring data meets a first risk condition; acquiring basic information of a corresponding scanning file according to the default risk result, acquiring second monitoring data of a third party authorization platform according to the basic information, calling a second risk monitoring model to monitor the second monitoring data, and outputting a second monitoring result when the second monitoring data meets a second risk condition.
Description
Technical Field
The present invention relates to data processing technologies, and in particular, to a method and an apparatus for monitoring and managing enterprise risk data.
Background
Enterprises can generate a large amount of enterprise data in the development process, wherein main enterprise data are data generated by project cooperation with other enterprises, a large amount of contract data are often generated in the cooperation process, rights and obligations of the two parties are defined between the enterprises through contracts, and property loss of the enterprises caused by contract violations often occurs.
In the prior art, an enterprise can set special personnel to monitor contract data of the enterprise, and prompt a partner to pay timely when the contract appointed time point is reached, or prompt the enterprise to accelerate project progress, so that the contract appointment is realized, however, due to the large contract data volume and the great contract details, the contract is easy to forget contract terms to occur through personnel management, so that the contract is in default risk, and the possibility of the partner default cannot be monitored in real time.
Therefore, how to automatically monitor and remind contract data between enterprises to help enterprises avoid risks is a problem to be solved urgently.
Disclosure of Invention
The embodiment of the invention provides an enterprise risk data monitoring and managing method and device, which can automatically monitor and remind contract data among enterprises to assist the enterprises to avoid risks.
In a first aspect of the embodiment of the present invention, there is provided an enterprise risk data monitoring and management method, including:
the method comprises the steps that a first server receives a scanning file uploaded by a user side, performs information extraction processing on the scanning file to obtain basic information and project node information or time node information, and generates a corresponding project progress shaft or a monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft;
the method comprises the steps that a first server generates an initial monitoring interface corresponding to a scanned file, the initial monitoring interface comprises a basic monitoring area and a node monitoring area, basic information is filled in the basic monitoring area, a project progress axis or a monitoring time axis is filled in the node monitoring area, and a current monitoring interface is generated;
the method comprises the steps that a first server obtains current time, receives real-time progress information input by a user side, invokes a first risk monitoring model to monitor a project progress shaft or a monitoring time shaft according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meet a first risk condition;
And the second server obtains a default risk result according to the first monitoring result, obtains basic information of a corresponding scanning file according to the default risk result, obtains second monitoring data of a third party authorization platform according to the basic information, calls a second risk monitoring model to monitor the second monitoring data, and outputs a second monitoring result when the second monitoring data meets a second risk condition.
Optionally, in a possible implementation manner of the first aspect, the generating a corresponding project progress axis or a monitoring time axis according to the project node information or the time node information includes:
the project node information comprises a plurality of project monitoring nodes and a limited time period corresponding to the project monitoring nodes, and the time node information comprises a plurality of time monitoring nodes and monitoring time corresponding to the time monitoring nodes;
acquiring a node sequence of the project monitoring nodes, sequentially sequencing the project monitoring nodes based on the node sequence, and connecting the project monitoring nodes to generate a monitoring project shaft;
constructing limiting nodes below all item monitoring nodes in the monitoring item shaft, associating limiting time periods corresponding to all item monitoring nodes with the limiting nodes below, and sequentially connecting all the limiting nodes to obtain a limiting time shaft;
Connecting each project monitoring node in the monitoring project shaft with a limiting node below to generate a project progress shaft;
and sequencing the time monitoring nodes in ascending order according to the monitoring time to obtain a time monitoring sequence, sequencing the corresponding time monitoring nodes in sequence based on the sequence of the time monitoring nodes in the time monitoring sequence, and connecting the time monitoring nodes to generate a monitoring time shaft.
Optionally, in one possible implementation manner of the first aspect, the first server obtains a current time, receives real-time progress information input by a user side, invokes a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meets a first risk condition, where the first monitoring result includes:
the method comprises the steps that a first server obtains current time and monitoring time of each time monitoring node, obtains real-time credential information input to corresponding time monitoring nodes or project monitoring nodes by a user side, and invokes a first risk monitoring model to monitor a monitoring time axis according to the current time and the monitoring time, so as to generate time monitoring data of each time monitoring node, and when the time monitoring data meet time risk conditions of the corresponding time monitoring nodes, a time risk result is output;
The method comprises the steps that a first server receives real-time project information input to corresponding project monitoring nodes by a user side, and updates the display state of the corresponding project monitoring nodes in a project progress shaft based on the real-time project information to obtain project completion nodes, wherein the real-time progress information comprises real-time credential information and real-time project information;
the first risk monitoring model is called to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, project risk results are output;
the first monitoring data comprises time monitoring data and project monitoring data, the first risk condition comprises time risk condition and project risk condition, and the first monitoring result comprises time risk result and project risk result.
Optionally, in one possible implementation manner of the first aspect, the retrieving the first risk monitoring model monitors the monitoring time axis according to the current time and the monitoring time, generates time monitoring data of each time monitoring node, and outputs a time risk result when the time monitoring data meets a time risk condition of the corresponding time monitoring node, where the time monitoring data includes:
A first risk monitoring model is called to monitor the monitoring time axis according to the current time and the monitoring time, and time monitoring data of each time monitoring node are generated;
and when judging that the current time in the time monitoring data is larger than the monitoring time and the corresponding real-time credential information does not exist at the corresponding time monitoring node, outputting a time risk result of the corresponding time monitoring node.
Optionally, in one possible implementation manner of the first aspect, the invoking the first risk monitoring model monitors a project progress axis according to the current time, a limited time period of a limited node, and a preset payment duration, generates project monitoring data of each project monitoring node, and when the project monitoring data of the project monitoring node meets a project risk condition, outputs a project risk result, including:
the first risk monitoring model is called to monitor a project progress axis according to the current time and the limited time period of the limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meet internal risk conditions, an internal risk result is output;
the first risk monitoring model is called to monitor a project progress axis according to the current time and the preset payment duration, external monitoring data of each project completion node are generated, and when the external monitoring data of the project completion node meet external risk conditions, an external risk result is output;
Wherein the project monitoring data comprises internal monitoring data and external monitoring data, the project risk conditions comprise internal risk conditions and external risk conditions, and the project risk results comprise internal risk results and external risk results.
Optionally, in one possible implementation manner of the first aspect, the invoking the first risk monitoring model monitors a project progress axis according to the current time and a limited time period of the limited node, generates internal monitoring data of each project monitoring node, and when the internal monitoring data of the project monitoring node meets an internal risk condition, outputs an internal risk result, including:
the first risk monitoring model is called, and internal monitoring data of each item monitoring node are generated according to the comparison information of the limited time period and the current time;
and when judging that the current time in the internal monitoring data is larger than the maximum value of the limited time period and the corresponding project monitoring node is not the project completion node, outputting an internal risk result.
Optionally, in one possible implementation manner of the first aspect, the invoking the first risk monitoring model monitors a project progress axis according to the current time and a preset payment duration, generates external monitoring data of each project completion node, and outputs an external risk result when the external monitoring data of the project completion node meets an external risk condition, where the external monitoring data includes:
The first risk monitoring model is called to obtain the updating time of the corresponding project monitoring node to the project completion node, and the payment deadline of each project completion node is obtained according to the updating time and the preset payment duration;
generating external monitoring data of each project completion node based on the comparison information of the payment deadline and the current time;
and judging that the current time in the external monitoring data is greater than the payment deadline, and outputting an external risk result of the corresponding project completion node if the real-time credential information does not exist at the corresponding project completion node.
Optionally, in one possible implementation manner of the first aspect, the obtaining, by the second server, an default risk result according to the first monitoring result, obtaining basic information of a corresponding scan file according to the default risk result, and obtaining, according to the basic information, second monitoring data of a third party authorization platform includes:
the second server takes a scanned file corresponding to a time risk result or an external risk result as a risk file, acquires basic information of the risk file as risk information, and acquires second monitoring data of a third party authorization platform according to main body information in the risk information;
The basic information at least comprises main body information, signing time and signing amount, the main body information at least comprises enterprise names, credit codes and addresses, the second monitoring data at least comprises legal risk quantity and management risk quantity, and the default risk result is a time risk result or an external risk result.
Optionally, in a possible implementation manner of the first aspect, the retrieving the second risk monitoring model monitors the second monitoring data, and when the second monitoring data meets a second risk condition, outputting a second monitoring result includes:
a second risk monitoring model is called to obtain a frequency adjustment coefficient according to the document signing amount and the preset signing amount in the risk information, and the preset monitoring frequency is adjusted according to the frequency adjustment coefficient to obtain risk monitoring frequencies corresponding to all risk documents;
and the second risk monitoring model monitors the second monitoring data with the risk monitoring frequency, counts the legal risk quantity and the operation risk quantity in the second monitoring data to obtain the default risk quantity, and outputs a second monitoring result if the default risk quantity is greater than or equal to the preset risk quantity.
In a second aspect of the embodiment of the present invention, there is provided an enterprise risk data monitoring and management device, including:
the uploading module is used for receiving a scanning file uploaded by a user side by the first server, extracting information from the scanning file to obtain basic information and project node information or time node information, and generating a corresponding project progress shaft or a monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft;
the generation module is used for generating an initial monitoring interface corresponding to the scanning file by the first server, wherein the initial monitoring interface comprises a basic monitoring area and a node monitoring area, filling the basic information into the basic monitoring area, filling the project progress axis or the monitoring time axis into the node monitoring area, and generating a current monitoring interface;
the first output module is used for acquiring current time by the first server, receiving real-time progress information input by the user side, invoking a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generating first monitoring data, and outputting a first monitoring result when the first monitoring data meets a first risk condition;
The second output module is used for obtaining an default risk result according to the first monitoring result, obtaining basic information of a corresponding scanning file according to the default risk result, obtaining second monitoring data of a third party authorization platform according to the basic information, calling a second risk monitoring model to monitor the second monitoring data, and outputting a second monitoring result when the second monitoring data meet a second risk condition.
In a third aspect of the embodiments of the present invention, there is provided a storage medium having stored therein a computer program for implementing the method of the first aspect and the various possible aspects of the first aspect when executed by a processor.
The beneficial effects of the invention are as follows:
1. according to the method, enterprise risk data can be monitored from 2 dimensions, firstly, the scanned files are automatically monitored for risk according to a project progress axis or a monitoring time axis, and secondly, the enterprise which has violated the contract is monitored for risk. According to the method and the device, information extraction is carried out on the scanned file, corresponding basic information and project nodes or time nodes are obtained according to different file types, so that a corresponding project progress axis or monitoring time axis is generated, and a corresponding current monitoring interface is generated to display the corresponding basic information and the project progress axis or the monitoring time axis for a user. The risk monitoring is carried out from 2 dimensions, the project progress axis or the monitoring time axis is automatically monitored through a first risk monitoring model, and the risk monitoring is automatically carried out on the scanned file; and secondly, the second monitoring data of the enterprise with the default risk result is called to monitor the risk of the enterprise, and the method can automatically monitor and remind contract data among the enterprises and the default enterprise.
2. The method and the system can generate a corresponding project progress axis or a monitoring time axis according to the type of the scanned file to automatically monitor the scanned file, and assist enterprises to monitor and remind file data in time. According to the method, the first risk monitoring model is called to compare according to the current time and the monitoring time, and whether real-time credential information exists at the corresponding time monitoring node is judged, so that automatic monitoring of the default of the cooperative company is realized; according to the method, the second risk monitoring model is called, and whether the project monitoring node is a project completion node or not is judged according to comparison information of the limited time period and the current time, so that automatic monitoring of the internal default risk is realized; according to the comparison information of the current time and the payment deadline corresponding to the project completion node, whether real-time credential information exists at the project completion node or not is judged, and the automatic monitoring of external risks is realized, so that the internal progress can be monitored and output in real time.
3. The invention can automatically monitor the company with unpaid violations, check the possibility of contract violations caused by abnormal conditions of the company, determine the adaptive risk monitoring frequency according to the size of the signed amount of the file, and output a second monitoring result when the second risk condition is met. According to the invention, the risk file corresponding to the risk result of the time or the external risk result is obtained, the corresponding risk monitoring frequency is determined according to the amount signed by the file, the corresponding second monitoring data is obtained by the basic information in the risk file based on the risk monitoring frequency to carry out monitoring, and when a large number of risks appear in an enterprise, the second monitoring result is output to remind the user.
Drawings
FIG. 1 is a flow chart of an enterprise risk data monitoring and management method provided by the invention;
FIG. 2 is a schematic diagram of a monitoring time axis according to the present invention;
FIG. 3 is a schematic view of a project progress axis according to the present invention;
fig. 4 is a schematic structural diagram of an enterprise risk data monitoring and managing device provided by the present invention.
Detailed Description
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Referring to fig. 1, a flowchart of an enterprise risk data monitoring and managing method provided by an embodiment of the present invention is shown, where an execution subject of the method shown in fig. 1 may be a software and/or hardware device. The execution bodies of the present application may include, but are not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, computers, smart phones, personal digital assistants (Personal Digital Assistant, abbreviated as PDA), and the above-mentioned electronic devices. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of a large number of computers or network servers based on cloud computing, where cloud computing is one of distributed computing, and a super virtual computer consisting of a group of loosely coupled computers. This embodiment is not limited thereto. The method comprises the steps S1 to S4, and specifically comprises the following steps:
S1, a first server receives a scanning file uploaded by a user side, performs information extraction processing on the scanning file to obtain basic information and project node information or time node information, and generates a corresponding project progress shaft or monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft.
It should be noted that, the files scanned and monitored by the enterprise are mainly contract files, it is easy to understand that the contracts are divided into time type contracts and project type contracts, for example, the time type contracts are lease contracts, and payment is performed at the time agreed by both parties, for example, payment is performed every month, payment is performed every quarter, and payment is performed at every time node;
for example, a contract of the project type is a house construction contract, payment is made according to the progress of the project, for example, a corresponding construction fee is paid after the construction of the house main body, a corresponding finishing fee is paid after finishing the house, a corresponding furniture fee is paid after entering the soft-packed furniture, payment is made at each project node, and both parties of the enterprise make restrictions on the completion time of each project, for example, the construction of the house main body is finished between 7 months 1 day and 10 months 29 days.
Therefore, the server may perform information extraction processing on the scan file uploaded by the client, extract basic information in the scan file and corresponding project node information and time node information, for example, may extract contents in the scan file through OCR word recognition and keywords, determine basic information such as an enterprise name and an address in a contract, and project node information or time node information for payment agreed in the contract, which is not described herein in detail in the prior art.
It is to be understood that the payment modes are 2, and the first payment is carried out within a preset time period after the project node is finished, for example, payment is carried out within 30 days after finishing; the second type makes payments at set points in time, such as rental contracts, 1 month and 1 day a year.
Further, corresponding project progress shafts are generated through the project node information, corresponding monitoring time shafts are generated according to the time node information, it can be understood that the project progress shafts or the monitoring time shafts corresponding to different types of the scanned files are convenient to automatically monitor the scanned files according to the project progress shafts or the monitoring time shafts, and risks can be found timely. Wherein the project progress axis includes a monitor project axis and a defined time axis.
In some embodiments, in step S1 (generating a corresponding project progress axis or monitoring time axis according to the project node information or time node information) includes S11-S15:
s11, the project node information comprises a plurality of project monitoring nodes and a limited time period corresponding to the project monitoring nodes, and the time node information comprises a plurality of time monitoring nodes and monitoring time corresponding to the time monitoring nodes.
It can be understood that the project node information includes a plurality of project monitoring nodes and a defined time period corresponding to the project monitoring nodes, and the time node information includes a plurality of time monitoring nodes and monitoring times corresponding to the time monitoring nodes.
For example, corresponding project nodes such as house main body, finishing, soft packaging, etc. in house construction contract, and a defined period of time specified by each project node; and (5) renting time monitoring nodes corresponding to the plurality of monitoring times in the contract.
S12, acquiring the node sequence of the project monitoring nodes, and sequentially sequencing and connecting the project monitoring nodes based on the node sequence to generate a monitoring project shaft.
It can be appreciated that the project monitoring nodes are sequentially ordered and connected according to the node order to generate a monitoring project shaft.
In practical application, the project monitoring nodes have corresponding sequences, such as house main bodies, decoration and soft packaging in house construction contracts, and the project monitoring nodes can be sequenced and connected according to the sequence of the limited time periods to generate a monitoring project shaft.
S13, constructing limiting nodes below all item monitoring nodes in the monitoring item shaft, associating limiting time periods corresponding to all item monitoring nodes with the limiting nodes below, and sequentially connecting all the limiting nodes to obtain a limiting time shaft.
It should be noted that each project monitoring node has a corresponding limited period, for example, the limited period for building the house body is 7 months 1 day to 10 months 29 days.
Therefore, the invention constructs corresponding limiting nodes below each item monitoring node in the monitoring item shaft, associates the limiting time periods corresponding to each item monitoring node with the limiting nodes below, and sequentially connects all the limiting nodes to obtain the limiting time shaft.
And S14, connecting each project monitoring node in the monitoring project shaft with a limiting node below to generate a project progress shaft.
It will be appreciated that connecting each item monitoring node in the monitoring item axis with the defining node below generates the item progress axis.
S15, ascending order is carried out on the time monitoring nodes according to the monitoring time, a time monitoring sequence is obtained, and the corresponding time monitoring nodes are ordered in sequence and connected to generate a monitoring time shaft based on the sequence of the time monitoring nodes in the time monitoring sequence.
It is easy to understand that the monitoring time is used for sequentially sequencing and connecting the time monitoring nodes to generate a corresponding monitoring time shaft.
On the basis of the embodiment, if the character recognition in the basic information and the node information is inaccurate, the active modification can be performed manually.
S2, the first server generates an initial monitoring interface corresponding to the scanned file, the initial monitoring interface comprises a basic monitoring area and a node monitoring area, the basic information is filled into the basic monitoring area, the project progress axis or the monitoring time axis is filled into the node monitoring area, and a current monitoring interface is generated.
Note that the scan file is of 2 types, which are time type contracts or project type contracts, respectively, and thus, corresponds to monitoring the time or axis project progress axis.
It can be understood that the invention generates an initial monitoring interface corresponding to the scanned file, and the initial monitoring interface includes a basic monitoring area and a node monitoring area, basic information is filled into the basic monitoring area, and a project progress axis or a monitoring time axis is filled into the node monitoring area to generate a current monitoring interface. It is easy to understand that corresponding project progress shafts or monitoring time shafts are generated according to different types of the scanned files and are filled in the node monitoring areas, and basic information is filled in the basic monitoring areas, so that a current monitoring interface is generated.
S3, the first server acquires the current time, receives real-time progress information input by the user side, invokes a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meets a first risk condition.
It can be understood that the first server may invoke the first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generate first monitoring data, output a first monitoring result when the first monitoring data meets a first risk condition, and output the first monitoring result when the first monitoring data meets the first risk condition.
Through the embodiment, the risk monitoring is carried out on the scanned file through the project progress axis or the monitoring time axis.
In some embodiments, the step S3 (the first server obtaining the current time, receiving the real-time progress information input by the user side, retrieving the first risk monitoring model, monitoring the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generating first monitoring data, and outputting the first monitoring result when the first monitoring data meets the first risk condition) includes S31-S33:
S31, a first server acquires the current time and the monitoring time of each time monitoring node, acquires real-time credential information input to the corresponding time monitoring node or project monitoring node by a user side, invokes a first risk monitoring model to monitor the monitoring time axis according to the current time and the monitoring time, generates time monitoring data of each time monitoring node, and outputs a time risk result when the time monitoring data meets the time risk condition of the corresponding time monitoring node.
The real-time voucher information is voucher information corresponding to each time monitoring node or each item monitoring node, such as a payment invoice.
It will be appreciated that after payment by the partner corporation, a corresponding payment voucher will be generated and the user will enter real-time voucher information at the corresponding time monitoring node or project monitoring node. And calling a first risk monitoring model to monitor the monitoring time axis according to the current time and the monitoring time to form time monitoring data of each time monitoring node, and outputting a time risk result when the time monitoring data meets the time risk condition of the corresponding time monitoring node.
It will be understood that, referring to fig. 2, when the current time of each time monitoring node in the monitoring time axis is greater than the monitoring time, and there is no corresponding real-time credential information at the time monitoring node, that is, the current time exceeds the agreed payment time, but no payment credential is received, a time risk result is output at this time.
In some embodiments, the step S31 (retrieving the first risk monitoring model to monitor the monitoring time axis according to the current time and the monitoring time, generating time monitoring data of each time monitoring node, and outputting a time risk result when the time monitoring data meets a time risk condition of the corresponding time monitoring node) includes S311-S312:
s311, a first risk monitoring model is called to monitor the monitoring time axis according to the current time and the monitoring time, and time monitoring data of each time monitoring node are generated.
It can be understood that the first risk monitoring model is invoked to monitor the monitoring time axis by using the current time and the monitoring time, so as to generate time monitoring data of each time monitoring node.
S312, when the current time in the time monitoring data is judged to be larger than the monitoring time and the corresponding real-time credential information does not exist at the corresponding time monitoring node, outputting a time risk result of the corresponding time monitoring node.
It can be understood that when the current time in the time monitoring data of each time monitoring node is determined to be greater than the monitoring time and the corresponding real-time credential information does not exist at the corresponding time monitoring node, the arrival of the contracted time is indicated but the payment credential is not received, and the unpaid default condition occurs in the cooperated company, so that the time risk result of the corresponding time monitoring node is output.
The monitoring time is the appointed time corresponding to each time monitoring node. For example, payment is made about 1 month and 1 day ago. The time risk result is the risk result that the counterpart is not paid for overtime.
S32, the first server receives real-time project information input to the corresponding project monitoring nodes by the user side, and updates the display states of the corresponding project monitoring nodes in the project progress axis based on the real-time project information to obtain project completion nodes, wherein the real-time progress information comprises real-time credential information and real-time project information.
It should be noted that, when the corresponding project monitoring node in the project progress axis is completed, the display state of the corresponding project monitoring node is updated.
It can be understood that the first server receives real-time project information input to the corresponding project monitoring node by the user end, and updates the display state of the corresponding project monitoring node in the project progress axis to obtain a project completion node, wherein the real-time progress information comprises real-time credential information and real-time project information.
For example, referring to fig. 3, 3 project monitoring nodes in the project progress axis correspond to the house main body, the decoration and the soft package respectively, when the house main body is completed, the corresponding project monitoring nodes are updated, for example, the display state is changed to be highlighted, for example, the display state is changed to be black, and a corresponding limiting node is arranged below each project monitoring node.
S33, a first risk monitoring model is called to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, a project risk result is output.
It can be understood that the first risk monitoring model is called to monitor the project progress axis according to the current time, the limited time period of the limited node and the preset payment duration, and project monitoring data of each project monitoring node is generated to check whether the internal risk or the external risk occurs. And outputting a project risk result when the project monitoring data of the project monitoring node meets the project risk condition.
The first monitoring data comprises time monitoring data and project monitoring data, the first risk condition comprises time risk condition and project risk condition, and the first monitoring result comprises time risk result and project risk result.
In some embodiments, the step S33 (retrieving the first risk monitoring model to monitor the project progress axis according to the current time, the limited time period of the limited node, and the preset payment duration, generating project monitoring data of each project monitoring node, and outputting a project risk result when the project monitoring data of the project monitoring node meets a project risk condition) includes S331-S332:
S331, a first risk monitoring model is called to monitor a project progress axis according to the current time and a limited time period of a limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meet internal risk conditions, an internal risk result is output.
It should be noted that, the project progress axis includes a monitoring project axis and a limiting time axis, each project monitoring node has a corresponding limiting node, and each limiting node corresponds to a corresponding limiting time period, so the invention can automatically monitor the project progress axis in 2 dimensions, firstly check whether the project node corresponding to the limiting time period is finished, and secondly check whether the finished project node (i.e. the project finishing node) has corresponding real-time credential information. It is not easy to understand that one is to monitor whether the corresponding project is completed in time inside the enterprise, and the other dimension is to monitor whether the cooperation enterprise pays in time after the enterprise completes the corresponding project node.
Therefore, the first server invokes the first risk monitoring model to monitor the project progress axis according to the current time and the limited time period of the limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meets the internal risk condition, an internal risk result is output.
According to the method, the device and the system, the current time and the limited time period of the limited nodes are utilized to monitor each project monitoring node in the project progress shaft, whether the enterprise completes corresponding projects in time is checked, and if not, an internal risk result is output.
In some embodiments, the step S331 (retrieving the first risk monitoring model to monitor the project progress axis according to the current time and the limited time period of the limited node, generating internal monitoring data of each project monitoring node, and outputting an internal risk result when the internal monitoring data of the project monitoring node meets an internal risk condition) includes S3311-S3312:
s3311, a first risk monitoring model is called, and internal monitoring data of each item monitoring node are generated according to the comparison information of the limited time period and the current time.
S3312, when judging that the current time in the internal monitoring data is greater than the maximum value of the limited time period and the corresponding project monitoring node is not a project completion node, outputting an internal risk result
It can be appreciated that when the current time in the internal monitoring data is greater than the maximum value of the defined time period and the corresponding project monitoring node is not a project completion node, then the internal risk result is output.
For example, the limited time period for building the house body is 7 months 1 day to 10 months 29 days, the maximum value of the limited time period is 10 months 29 days, if the current time is 10 months 30 days or more and 10 months 29 days, the current time is 10 months 30 days or more, the current time is more than the contracted time, but the corresponding project monitoring node is not completed, namely, the project monitoring node is not updated, and the internal risk result is output.
S332, a first risk monitoring model is called to monitor a project progress axis according to the current time and the preset payment duration, external monitoring data of each project completion node are generated, and when the external monitoring data of the project completion node meet external risk conditions, an external risk result is output.
It can be understood that the first server may invoke the first risk monitoring model to monitor the project progress axis according to the current time and the preset payment duration, check whether the cooperated enterprise pays in time, generate external monitoring data of each project completion node, and output an external risk result when the external monitoring data of the project completion node meets an external risk condition.
Wherein the project monitoring data comprises internal monitoring data and external monitoring data, the project risk conditions comprise internal risk conditions and external risk conditions, and the project risk results comprise internal risk results and external risk results.
In some embodiments, the step S332 (retrieving the first risk monitoring model to monitor the project progress axis according to the current time and the preset payment duration, generating external monitoring data of each project completion node, and outputting an external risk result when the external monitoring data of the project completion node meets an external risk condition) includes S3321-S3323:
s3321, a first risk monitoring model is called to obtain the update time of the corresponding project monitoring node to the project completion node, and the payment deadline of each project completion node is obtained according to the update time and the preset payment duration.
It can be understood that the first risk monitoring model is invoked to obtain the update time of the corresponding project monitoring node to the project completion node, that is, the time when each project monitoring node becomes the project completion node is obtained, and the payment deadline of each project completion node is obtained according to the update time and the preset payment duration.
For example, the completion time of building the house body is 9 months and 1 day, at this time, the corresponding project monitoring nodes are updated, and payment is made within 10 days after the completion of the contracted project, so that the payment deadline is 9 months and 11 days.
S3322, external monitoring data of each project completion node is generated based on the comparison information of the payment deadline and the current time.
S3323, judging that the current time in the external monitoring data is larger than the payment deadline, and outputting an external risk result of the corresponding project completion node if no real-time credential information exists at the corresponding project completion node.
It is understood that when the current time in the external monitoring data is greater than the payment deadline and no real-time credential information exists at the corresponding project completion node, the external risk result of the corresponding project completion node is output.
For example, the current time is 9 months 12 days, the payment deadline is 9 months 11 days, if the current time is 9 months 12 days and is greater than the payment deadline by 9 months 11 days, and no payment voucher exists at the project completion node, the cooperation corporation is not paid in time, and at this time, the external risk result is output.
S4, a second server obtains a default risk result according to the first monitoring result, obtains basic information of a corresponding scanning file according to the default risk result, obtains second monitoring data of a third party authorization platform according to the basic information, invokes a second risk monitoring model to monitor the second monitoring data, and outputs a second monitoring result when the second monitoring data meets a second risk condition.
It should be noted that, after the first server monitors the first monitoring result, that is, the first server monitors the risk of default, the first monitoring result is transmitted to the second server, the second server monitors the corporation that does not pay in time, checks the possibility of default of contract of the corporation, and reminds the user in time.
It can be understood that the second server screens the first monitoring result to obtain an default risk result, and it is easy to understand that the first monitoring result may include an internal risk result, so that the internal risk result in the first monitoring result is filtered to obtain an default risk result. Wherein the breach risk result is a time risk result or an external risk result.
Further, the second server obtains basic information of the corresponding scanning file according to the default risk result, and obtains second monitoring data of the scanning file in the third party authorization platform according to the main body information in the basic information.
In some embodiments, the step S4 (the second server obtaining the default risk result according to the first monitoring result, obtaining the basic information of the corresponding scan file according to the default risk result, and obtaining the second monitoring data of the third party authorization platform according to the basic information) includes:
The second server takes a scanned file corresponding to a time risk result or an external risk result as a risk file, acquires basic information of the risk file as risk information, and acquires second monitoring data of a third party authorization platform according to main body information in the risk information;
it can be understood that the second server takes the scanned file corresponding to the time risk result or the external risk result as a risk file, and obtains the second monitoring data of the third party authorization platform according to the main body information in the basic information corresponding to the risk file.
It is easy to understand that the invention can perform risk monitoring on the collaborative enterprises corresponding to the scanned files with the time risk results or the external risk results.
The basic information at least comprises main body information, signing time and signing amount, the main body information at least comprises enterprise names, credit codes and addresses, the second monitoring data at least comprises legal risk quantity and management risk quantity, and the default risk result is a time risk result or an external risk result.
In some embodiments, the step S4 (retrieving the second risk monitoring model to monitor the second monitoring data, and outputting the second monitoring result when the second monitoring data meets the second risk condition) includes:
And calling a second risk monitoring model to obtain a frequency adjustment coefficient according to the document signing amount and the preset signing amount in the risk information, and adjusting the preset monitoring frequency according to the frequency adjustment coefficient to obtain risk monitoring frequencies corresponding to all the risk documents.
It can be understood that the frequency adjustment coefficient is obtained by calling the second risk monitoring model according to the ratio of the document signing amount and the preset signing amount in the risk information, and the risk monitoring frequency corresponding to each risk document is obtained by adjusting the preset monitoring frequency according to the frequency adjustment coefficient.
It is easy to understand that the larger the document signing amount is, the larger the corresponding frequency adjustment coefficient is, the smaller the document signing amount is, the smaller the corresponding frequency adjustment coefficient is, and the risk monitoring frequency of the corresponding cooperation enterprise of each risk document is obtained according to the product of the frequency adjustment coefficient and the preset monitoring frequency.
And the second risk monitoring model monitors the second monitoring data with the risk monitoring frequency, counts the legal risk quantity and the operation risk quantity in the second monitoring data to obtain the default risk quantity, and outputs a second monitoring result if the default risk quantity is greater than or equal to the preset risk quantity.
It can be understood that the second risk monitoring model monitors the second monitoring data with the risk monitoring frequency, counts the sum of the legal risk quantity and the operation risk quantity in the second monitoring data to obtain the default risk quantity, and outputs a second monitoring result if the default risk quantity is greater than or equal to the preset risk quantity. It is easy to understand that if the legal risk number and the operation risk number in the second monitoring data are smaller, the cooperation enterprise is indicated to have smaller risks, if the legal risk number and the operation risk number in the second monitoring data are larger, the cooperation enterprise is indicated to have larger risks, and when the default risk number is larger than or equal to the preset risk number, the second monitoring result is output and the user is reminded.
Referring to fig. 4, an enterprise risk data monitoring and managing device provided by an embodiment of the present invention includes:
the uploading module is used for receiving a scanning file uploaded by a user side by the first server, extracting information from the scanning file to obtain basic information and project node information or time node information, and generating a corresponding project progress shaft or a monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft;
The generation module is used for generating an initial monitoring interface corresponding to the scanning file by the first server, wherein the initial monitoring interface comprises a basic monitoring area and a node monitoring area, filling the basic information into the basic monitoring area, filling the project progress axis or the monitoring time axis into the node monitoring area, and generating a current monitoring interface;
the first output module is used for acquiring current time by the first server, receiving real-time progress information input by the user side, invoking a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generating first monitoring data, and outputting a first monitoring result when the first monitoring data meets a first risk condition;
the second output module is used for obtaining an default risk result according to the first monitoring result, obtaining basic information of a corresponding scanning file according to the default risk result, obtaining second monitoring data of a third party authorization platform according to the basic information, calling a second risk monitoring model to monitor the second monitoring data, and outputting a second monitoring result when the second monitoring data meet a second risk condition.
The present invention also provides a storage medium having stored therein a computer program for implementing the methods provided by the various embodiments described above when executed by a processor.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (8)
1. An enterprise risk data monitoring and management method, which is characterized by comprising the following steps:
the method comprises the steps that a first server receives a scanning file uploaded by a user side, performs information extraction processing on the scanning file to obtain basic information and project node information or time node information, and generates a corresponding project progress shaft or a monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft;
The method comprises the steps that a first server generates an initial monitoring interface corresponding to a scanned file, the initial monitoring interface comprises a basic monitoring area and a node monitoring area, basic information is filled in the basic monitoring area, a project progress axis or a monitoring time axis is filled in the node monitoring area, and a current monitoring interface is generated;
the method comprises the steps that a first server obtains current time, receives real-time progress information input by a user side, invokes a first risk monitoring model to monitor a project progress shaft or a monitoring time shaft according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meet a first risk condition;
the second server obtains an default risk result according to the first monitoring result, obtains basic information of a corresponding scanning file according to the default risk result, obtains second monitoring data of a third party authorization platform according to the basic information, calls a second risk monitoring model to monitor the second monitoring data, and outputs a second monitoring result when the second monitoring data meets a second risk condition;
the first server obtains the current time, receives real-time progress information input by the user terminal, invokes a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meets a first risk condition, wherein the first monitoring result comprises:
The method comprises the steps that a first server obtains current time and monitoring time of each time monitoring node, obtains real-time credential information input to corresponding time monitoring nodes or project monitoring nodes by a user side, and invokes a first risk monitoring model to monitor a monitoring time axis according to the current time and the monitoring time, so as to generate time monitoring data of each time monitoring node, and when the time monitoring data meet time risk conditions of the corresponding time monitoring nodes, a time risk result is output;
the method comprises the steps that a first server receives real-time project information input to corresponding project monitoring nodes by a user side, and updates the display state of the corresponding project monitoring nodes in a project progress shaft based on the real-time project information to obtain project completion nodes, wherein the real-time progress information comprises real-time credential information and real-time project information;
the first risk monitoring model is called to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, project risk results are output;
The first monitoring data comprise time monitoring data and project monitoring data, the first risk condition comprises a time risk condition and a project risk condition, and the first monitoring result comprises a time risk result and a project risk result;
the first risk monitoring model is invoked to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, project risk results are output, wherein the project risk results comprise:
the first risk monitoring model is called to monitor a project progress axis according to the current time and the limited time period of the limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meet internal risk conditions, an internal risk result is output;
the first risk monitoring model is called to monitor a project progress axis according to the current time and the preset payment duration, external monitoring data of each project completion node are generated, and when the external monitoring data of the project completion node meet external risk conditions, an external risk result is output;
Wherein the project monitoring data comprises internal monitoring data and external monitoring data, the project risk conditions comprise internal risk conditions and external risk conditions, and the project risk results comprise internal risk results and external risk results.
2. The method for monitoring and managing risk data of an enterprise as claimed in claim 1, wherein,
the generating a corresponding project progress axis or monitoring time axis according to the project node information or the time node information comprises the following steps:
the project node information comprises a plurality of project monitoring nodes and a limited time period corresponding to the project monitoring nodes, and the time node information comprises a plurality of time monitoring nodes and monitoring time corresponding to the time monitoring nodes;
acquiring a node sequence of the project monitoring nodes, sequentially sequencing the project monitoring nodes based on the node sequence, and connecting the project monitoring nodes to generate a monitoring project shaft;
constructing limiting nodes below all item monitoring nodes in the monitoring item shaft, associating limiting time periods corresponding to all item monitoring nodes with the limiting nodes below, and sequentially connecting all the limiting nodes to obtain a limiting time shaft;
connecting each project monitoring node in the monitoring project shaft with a limiting node below to generate a project progress shaft;
And sequencing the time monitoring nodes in ascending order according to the monitoring time to obtain a time monitoring sequence, sequencing the corresponding time monitoring nodes in sequence based on the sequence of the time monitoring nodes in the time monitoring sequence, and connecting the time monitoring nodes to generate a monitoring time shaft.
3. The method for monitoring and managing risk data of an enterprise as claimed in claim 1, wherein,
the first risk monitoring model is invoked to monitor the monitoring time axis according to the current time and the monitoring time, time monitoring data of each time monitoring node are generated, and when the time monitoring data meet time risk conditions of the corresponding time monitoring nodes, a time risk result is output, wherein the method comprises the following steps:
a first risk monitoring model is called to monitor the monitoring time axis according to the current time and the monitoring time, and time monitoring data of each time monitoring node are generated;
and when judging that the current time in the time monitoring data is larger than the monitoring time and the corresponding real-time credential information does not exist at the corresponding time monitoring node, outputting a time risk result of the corresponding time monitoring node.
4. The method for monitoring and managing risk data of an enterprise as claimed in claim 1, wherein,
The first risk monitoring model is invoked to monitor a project progress axis according to the current time and a limited time period of a limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meet internal risk conditions, an internal risk result is output, and the method comprises the following steps:
the first risk monitoring model is called, and internal monitoring data of each item monitoring node are generated according to the comparison information of the limited time period and the current time;
and when judging that the current time in the internal monitoring data is larger than the maximum value of the limited time period and the corresponding project monitoring node is not the project completion node, outputting an internal risk result.
5. The method for monitoring and managing risk data of an enterprise as claimed in claim 1, wherein,
the first risk monitoring model is invoked to monitor a project progress axis according to the current time and the preset payment duration, external monitoring data of each project completion node are generated, and when the external monitoring data of the project completion node meet external risk conditions, an external risk result is output, and the method comprises the following steps:
the first risk monitoring model is called to obtain the updating time of the corresponding project monitoring node to the project completion node, and the payment deadline of each project completion node is obtained according to the updating time and the preset payment duration;
Generating external monitoring data of each project completion node based on the comparison information of the payment deadline and the current time;
and judging that the current time in the external monitoring data is greater than the payment deadline, and outputting an external risk result of the corresponding project completion node if the real-time credential information does not exist at the corresponding project completion node.
6. The method for monitoring and managing enterprise risk data of claim 5, wherein,
the second server obtains a default risk result according to the first monitoring result, obtains basic information of a corresponding scanned file according to the default risk result, and obtains second monitoring data of a third party authorization platform according to the basic information, wherein the second monitoring data comprises:
the second server takes a scanned file corresponding to a time risk result or an external risk result as a risk file, acquires basic information of the risk file as risk information, and acquires second monitoring data of a third party authorization platform according to main body information in the risk information;
the basic information at least comprises main body information, signing time and signing amount, the main body information at least comprises enterprise names, credit codes and addresses, the second monitoring data at least comprises legal risk quantity and management risk quantity, and the default risk result is a time risk result or an external risk result.
7. The method for monitoring and managing enterprise risk data of claim 6, wherein,
the step of retrieving a second risk monitoring model to monitor the second monitoring data, and outputting a second monitoring result when the second monitoring data meets a second risk condition, including:
a second risk monitoring model is called to obtain a frequency adjustment coefficient according to the document signing amount and the preset signing amount in the risk information, and the preset monitoring frequency is adjusted according to the frequency adjustment coefficient to obtain risk monitoring frequencies corresponding to all risk documents;
and the second risk monitoring model monitors the second monitoring data with the risk monitoring frequency, counts the legal risk quantity and the operation risk quantity in the second monitoring data to obtain the default risk quantity, and outputs a second monitoring result if the default risk quantity is greater than or equal to the preset risk quantity.
8. An enterprise risk data monitoring and management device, comprising:
the uploading module is used for receiving a scanning file uploaded by a user side by the first server, extracting information from the scanning file to obtain basic information and project node information or time node information, and generating a corresponding project progress shaft or a monitoring time shaft according to the project node information or the time node information, wherein the project progress shaft comprises a monitoring project shaft and a limiting time shaft;
The generation module is used for generating an initial monitoring interface corresponding to the scanning file by the first server, wherein the initial monitoring interface comprises a basic monitoring area and a node monitoring area, filling the basic information into the basic monitoring area, filling the project progress axis or the monitoring time axis into the node monitoring area, and generating a current monitoring interface;
the first output module is used for acquiring current time by the first server, receiving real-time progress information input by the user side, invoking a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generating first monitoring data, and outputting a first monitoring result when the first monitoring data meets a first risk condition;
the second output module is used for obtaining an default risk result according to the first monitoring result, obtaining basic information of a corresponding scanning file according to the default risk result, obtaining second monitoring data of a third party authorization platform according to the basic information, calling a second risk monitoring model to monitor the second monitoring data, and outputting a second monitoring result when the second monitoring data meets a second risk condition;
The first server obtains the current time, receives real-time progress information input by the user terminal, invokes a first risk monitoring model to monitor the project progress axis or the monitoring time axis according to the current time and the real-time progress information, generates first monitoring data, and outputs a first monitoring result when the first monitoring data meets a first risk condition, wherein the first monitoring result comprises:
the method comprises the steps that a first server obtains current time and monitoring time of each time monitoring node, obtains real-time credential information input to corresponding time monitoring nodes or project monitoring nodes by a user side, and invokes a first risk monitoring model to monitor a monitoring time axis according to the current time and the monitoring time, so as to generate time monitoring data of each time monitoring node, and when the time monitoring data meet time risk conditions of the corresponding time monitoring nodes, a time risk result is output;
the method comprises the steps that a first server receives real-time project information input to corresponding project monitoring nodes by a user side, and updates the display state of the corresponding project monitoring nodes in a project progress shaft based on the real-time project information to obtain project completion nodes, wherein the real-time progress information comprises real-time credential information and real-time project information;
The first risk monitoring model is called to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, project risk results are output;
the first monitoring data comprise time monitoring data and project monitoring data, the first risk condition comprises a time risk condition and a project risk condition, and the first monitoring result comprises a time risk result and a project risk result;
the first risk monitoring model is invoked to monitor a project progress axis according to the current time, the limited time period of the limited node and the preset payment time length, project monitoring data of each project monitoring node are generated, and when the project monitoring data of the project monitoring node meet project risk conditions, project risk results are output, wherein the project risk results comprise:
the first risk monitoring model is called to monitor a project progress axis according to the current time and the limited time period of the limited node, internal monitoring data of each project monitoring node are generated, and when the internal monitoring data of the project monitoring node meet internal risk conditions, an internal risk result is output;
The first risk monitoring model is called to monitor a project progress axis according to the current time and the preset payment duration, external monitoring data of each project completion node are generated, and when the external monitoring data of the project completion node meet external risk conditions, an external risk result is output;
wherein the project monitoring data comprises internal monitoring data and external monitoring data, the project risk conditions comprise internal risk conditions and external risk conditions, and the project risk results comprise internal risk results and external risk results.
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