Evaluation result determination method and device, storage medium and electronic equipment

Abstract

The invention discloses an evaluation result determination method and device, a storage medium and electronic equipment. The method is applied to an event full-process processing system, the event full-process processing system at least comprises an event discovery module, an event processing module, an event supervision module and an event full-process analysis module, and the method comprises the following steps: acquiring a first characteristic value of a target event during discovery by using the event discovery module, acquiring a second characteristic value of the target event during processing by utilizing an event processing module, and acquiring a third characteristic value of the target event during supervision by utilizing an event supervision module; and the event full-process analysis module is controlled to determine an evaluation result of the target event during full-process processing based on the first feature value, the second feature value and the third feature value, and the evaluation result is used for representing a quality grade of full-process processing of the target event by using the event full-process processing system. The technical problem that the evaluation result cannot be effectively determined is solved.

Description

Technical Field

[0001] The present application relates to the technical field of event processing, and in particular to a method, device, storage medium and electronic device for determining an evaluation result. Background Art

[0002] At present, important process links such as the occurrence, processing, supervision and analysis of events are inevitably linked to the processing efficiency and quality of the full-process event processing system. Therefore, how to evaluate the quality of the full-process event processing system is crucial. In the prior art, there is no unified method to handle and evaluate the full-process processing of events such as the occurrence, processing, supervision and analysis of events, resulting in the problem of being unable to effectively determine the evaluation results.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a method, device, storage medium and electronic device for determining an evaluation result, so as to at least solve the technical problem that the evaluation result cannot be effectively determined.

[0005] According to one aspect of an embodiment of the present application, a method for determining an evaluation result is provided. The method is applied to an event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event supervision module, and an event full-process analysis module. The method may include: using the event discovery module to obtain the first characteristic value of the target event when it is discovered, using the event processing module to obtain the second characteristic value of the target event when it is processed, and using the event supervision module to obtain the third characteristic value of the target event when it is supervised; controlling the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value, and the third characteristic value, wherein the evaluation result is used to indicate the quality level of the full-process processing of the target event using the event full-process processing system.

[0006] Optionally, the first eigenvalue includes at least a first influencing factor and a first evaluation data, the second eigenvalue includes at least a second influencing factor and a second evaluation data, and the third eigenvalue includes at least a third influencing factor and a third evaluation data. The control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, including: the control event full-process analysis module determines the product of the first influencing factor and the first evaluation data, the product of the second influencing factor and the second evaluation data, and the product of the third influencing factor and the third evaluation data as the evaluation result.

[0007] Optionally, the method also includes: using an event discovery module to obtain a first satisfaction value of the target event when it is discovered, using an event processing module to obtain a second satisfaction value of the target event when it is processed, and using an event monitoring module to obtain a third satisfaction value of the target event when it is monitored; the product of the first impact factor and the first satisfaction value, the product of the second impact factor and the second satisfaction value, and the sum of the product of the third impact factor and the third satisfaction value are determined as the target satisfaction value of the target event during full-process processing, wherein the target satisfaction value is used to represent the satisfaction value of full-process processing of the target event using the event full-process processing system.

[0008] Optionally, the method further includes: obtaining a plurality of satisfaction value sets consisting of a first satisfaction value, a second satisfaction value, a third satisfaction value, and a target satisfaction value; and determining a first influencing factor, a second influencing factor, and a third influencing factor of the target event based on the satisfaction value sets.

[0009] Optionally, the method also includes: obtaining the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, and the time limit and time limit influence factor of the target event; and determining the sum of the product of the channel value and the channel influence factor, the product of the public opinion value and the first public opinion influence factor, and the product of the time limit and the time limit influence factor as the first evaluation data.

[0010] Optionally, obtaining a channel influence factor, a first public opinion influence factor, and a time limit influence factor includes: obtaining multiple discovery data sets consisting of a first satisfaction value, a channel value, a public opinion value, and a time limit; and determining the channel influence factor, the first public opinion influence factor, and the time limit influence factor based on the discovery data sets.

[0011] Optionally, the method also includes: obtaining the processing progress of the target event, the processing progress impact factor, the time limit, the public opinion value, and the second public opinion impact factor of the target event when being processed; determining the quotient of the processing progress and the time limit, and determining the second evaluation data based on the product of the quotient and the processing progress impact factor, and the sum of the product of the public opinion value and the second public opinion impact factor.

[0012] Optionally, obtaining the processing progress influencing factor and the second public opinion influencing factor includes: obtaining multiple processing data sets consisting of second satisfaction values, processing progress, time limits and public opinion values; and determining the processing progress influencing factor and the second public opinion influencing factor based on the processing data sets.

[0013] Optionally, the method also includes: obtaining the processing progress of the target event, the first target time limit and the first target time limit influence factor of the target event during supervision, the second target time limit and the second target time limit influence factor of the target event during supervision, as well as the public opinion value of the target event and the third public opinion influence factor of the target event during supervision; determining the first target quotient of the processing progress and the first target time limit, and the second target quotient of the processing progress and the second target time limit; determining the third evaluation data based on the sum of the product of the first target time limit influence factor and the first target quotient, the product of the second target time limit influence factor and the second target quotient, and the product of the public opinion value and the third public opinion influence factor.

[0014] Optionally, obtaining the first target time limit influence factor, the second target time limit influence factor and the third public opinion influence factor includes: obtaining multiple supervision data sets consisting of a third satisfaction value, a processing progress, a first target time limit, a second target time limit and a public opinion value; based on the supervision data sets, determining the first target time limit influence factor, the second target time limit influence factor and the third public opinion influence factor.

[0015] According to another aspect of the embodiment of the present application, a device for determining an evaluation result is also provided. The device is applied to an event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event monitoring module, and an event full-process analysis module, and the device includes: an acquisition unit, which is used to use the event discovery module to obtain a first characteristic value of the target event when it is discovered, use the event processing module to obtain a second characteristic value of the target event when it is processed, and use the event monitoring module to obtain a third characteristic value of the target event when it is supervised; a determination unit, which is used to control the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value, and the third characteristic value, wherein the evaluation result is used to indicate the quality level of the full-process processing of the target event using the event full-process processing system.

[0016] According to another aspect of an embodiment of the present application, a non-volatile storage medium is also provided, including: the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute any method for determining an evaluation result.

[0017] According to another aspect of an embodiment of the present application, there is also provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement a method for determining any one of the evaluation results.

[0018] According to another aspect of the embodiment of the present application, a computer program product is further provided. The computer program product may include a computer program, wherein the computer program is configured to execute any of the above methods for determining the evaluation result when running.

[0019] According to another aspect of the embodiment of the present application, a computer program product is also provided. The computer program product may include a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and the computer program is configured to execute any of the above-mentioned methods for determining the evaluation results when running.

[0020] According to another aspect of the embodiment of the present application, a computer program is further provided, which is configured to execute any of the above methods for determining the evaluation result when running.

[0021] In the embodiment of the present application, the event discovery module is used to obtain the first characteristic value of the target event when it is discovered, the event processing module is used to obtain the second characteristic value of the target event when it is processed, and the event supervision module is used to obtain the third characteristic value of the target event when it is supervised; the control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value and the third characteristic value, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system. In other words, the present application uses the event full-process processing system to evaluate the quality of the full-process processing of the event, such as the occurrence, processing, supervision and analysis, and obtains the evaluation result, thereby achieving the technical effect of effectively determining the evaluation result, and then solving the technical problem of being unable to effectively determine the evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 is a flowchart of a method for determining an evaluation result according to an embodiment of the present application;

[0024] Figure 2 is a schematic diagram of a digital event full-process management system according to an embodiment of the present application;

[0025] Figure 3 is a structural schematic diagram of a device for determining an evaluation result according to an embodiment of the present application;

[0026] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present application is shown. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] According to an embodiment of the present application, a method embodiment of a method for determining an evaluation result is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Figure 1 is a flow chart of a method for determining an evaluation result according to an embodiment of the present application, such as Figure 1 As shown, the method is applied to an event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event monitoring module and an event full-process analysis module. The method may include the following steps:

[0031] Step S102, using the event discovery module to obtain the first characteristic value of the target event when it is discovered, using the event processing module to obtain the second characteristic value of the target event when it is processed, and using the event monitoring module to obtain the third characteristic value of the target event when it is monitored.

[0032] In the above step S102, the event discovery module can be used to obtain the first characteristic value of the target event when it is discovered, the event processing module can be used to obtain the second characteristic value of the target event when it is processed, and the event supervision module can be used to obtain the third characteristic value of the target event when it is supervised. Among them, the target event can be a digital event, hereinafter referred to as an event. The event full-process processing system can be called an event full-process management system and a digital event full-process management system. The event discovery module can be a digital event discovery center module, which can be used to obtain various types of digital event work orders and obtain the first characteristic value of event discovery. The event processing module can be a digital event processing center module, which can be used to obtain the digital event processing process and obtain the second characteristic value of event processing. The event supervision module can be a digital event supervision center module, which can be used to obtain the digital event supervision situation and obtain the third characteristic value of event supervision.

[0033] Step S104, the control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, wherein the evaluation result is used to indicate the quality level of the full-process processing of the target event using the event full-process processing system.

[0034] In the above step S104, after the event discovery module is used to obtain the first characteristic value of the target event when it is discovered, the event processing module is used to obtain the second characteristic value of the target event when it is processed, and the event supervision module is used to obtain the third characteristic value of the target event when it is supervised, the event full process analysis module can be controlled to determine the evaluation result of the target event during the full process processing based on the first characteristic value, the second characteristic value and the third characteristic value. Among them, the evaluation result can be used to represent the quality level of the full process processing of the target event using the event full process processing system, which can be called the digital event full process management evaluation value, which can be represented by Φ. The event full process analysis module can be a digital event full process analysis center module, which can be used to perform data analysis on the digital information data of the digital event and evaluate the digital event full process management evaluation value.

[0035] In this embodiment, after obtaining the first eigenvalue of the target event when it is discovered, the second eigenvalue of the target event when it is processed, and the third eigenvalue of the target event when it is supervised, the sum of the first eigenvalue, the second eigenvalue and the third eigenvalue can be determined as the evaluation result of the target event during the entire process of processing.

[0036] In the embodiment of the present application, the event discovery module is used to obtain the first characteristic value of the target event when it is discovered, the event processing module is used to obtain the second characteristic value of the target event when it is processed, and the event supervision module is used to obtain the third characteristic value of the target event when it is supervised; the control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value and the third characteristic value, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system. In other words, the present application uses the event full-process processing system to evaluate the quality of the full-process processing of the event, such as the occurrence, processing, supervision and analysis, and obtains the evaluation result, thereby achieving the technical effect of effectively determining the evaluation result, and then solving the technical problem of being unable to effectively determine the evaluation result.

[0037] In some embodiments of the present application, the first eigenvalue includes at least a first influencing factor and a first evaluation data, the second eigenvalue includes at least a second influencing factor and a second evaluation data, and the third eigenvalue includes at least a third influencing factor and a third evaluation data. The control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, including: the control event full-process analysis module determines the product of the first influencing factor and the first evaluation data, the product of the second influencing factor and the second evaluation data, and the product of the third influencing factor and the third evaluation data as the evaluation result.

[0038] In this embodiment, the first eigenvalue includes at least the first influencing factor and the first evaluation data, the second eigenvalue includes at least the second influencing factor and the second evaluation data, and the third eigenvalue includes at least the third influencing factor and the third evaluation data. After using the event discovery module to obtain the first eigenvalue of the target event when it is discovered, using the event processing module to obtain the second eigenvalue of the target event when it is processed, and using the event monitoring module to obtain the third eigenvalue of the target event when it is monitored, the event full-process analysis module can be controlled to determine the sum of the product of the first influencing factor and the first evaluation data, the product of the second influencing factor and the second evaluation data, and the product of the third influencing factor and the third evaluation data as the evaluation result.

[0039] Optionally, the first impact factor may be an impact factor of a digital event when it is discovered, which may be represented by α. The first evaluation data may be an evaluation value of a digital event when it is discovered, which may be represented by d. The second impact factor may be an impact factor of a digital event when it is processed, which may be represented by β. The second evaluation data may be an evaluation value of a digital event when it is processed, which may be represented by p. The third impact factor may be an impact factor of a digital event when it is supervised, which may be represented by γ. The third evaluation data may be an evaluation value of a digital event when it is supervised, which may be represented by s.

[0040] Optionally, after obtaining the first impact factor and the first evaluation data when the event is discovered, the second impact factor and the second evaluation data when the event is processed, and the third impact factor and the third evaluation data when the event is supervised, the evaluation result can be determined by the following formula:

[0041] Φ=α*d+β*p+γ*s

[0042] Among them, the evaluation result Φ is the evaluation value of the whole process management of the event.

[0043] In some embodiments of the present application, the method also includes: using an event discovery module to obtain a first satisfaction value of the target event when it is discovered, using an event processing module to obtain a second satisfaction value of the target event when it is processed, and using an event monitoring module to obtain a third satisfaction value of the target event when it is monitored; the product of the first impact factor and the first satisfaction value, the product of the second impact factor and the second satisfaction value, and the sum of the product of the third impact factor and the third satisfaction value are determined as the target satisfaction value of the target event during full-process processing, wherein the target satisfaction value is used to represent the satisfaction value of full-process processing of the target event using the event full-process processing system.

[0044] In this embodiment, the event discovery module can be used to obtain the first satisfaction value of the target event when it is discovered, the event processing module can be used to obtain the second satisfaction value of the target event when it is processed, and the event monitoring module can be used to obtain the third satisfaction value of the target event when it is monitored. After obtaining the first satisfaction value, the second satisfaction value, and the third satisfaction value, the product of the first impact factor and the first satisfaction value, the product of the second impact factor and the second satisfaction value, and the sum of the product of the third impact factor and the third satisfaction value can be determined as the target satisfaction value of the target event during the full process processing. Among them, the first satisfaction value can be the satisfaction value of the digital event when it is discovered, which can be expressed as x d The second satisfaction value can be the satisfaction value of the digital event during processing, which can be expressed by x p The third satisfaction value can be the satisfaction value of the digital event during supervision, which can be expressed by x s The target satisfaction value can be the satisfaction value of the entire process of the digital event, which can be represented by ω, and can be used to represent the satisfaction value of the full process processing of the target event using the event full process processing system.

[0045] Optionally, based on the first satisfaction value and first impact factor of the event when it is discovered, the second satisfaction value and second impact factor of the event when it is processed, and the third satisfaction value and third impact factor of the event when it is supervised, the satisfaction value of the entire process of the event can be determined by the following formula:

[0046] ω=x d *α+xp *β+x s *γ

[0047] In some embodiments of the present application, the method also includes: obtaining multiple satisfaction value sets consisting of a first satisfaction value, a second satisfaction value, a third satisfaction value, and a target satisfaction value; based on the satisfaction value sets, determining the first influencing factor, the second influencing factor, and the third influencing factor of the target event.

[0048] In this embodiment, a plurality of satisfaction value sets consisting of a first satisfaction value, a second satisfaction value, a third satisfaction value, and a target satisfaction value can be obtained. Further based on the obtained satisfaction value set, the first influencing factor, the second influencing factor, and the third influencing factor of the target event can be determined. It should be noted that the digital event full-process management system also includes a digital event review center module, which can be used to obtain digital event review situations and obtain event review feature values.

[0049] Optionally, the digital event review center module is used to obtain a digital event satisfaction value set, that is, a plurality of satisfaction value sets consisting of a first satisfaction value, a second satisfaction value, a third satisfaction value, and a target satisfaction value, which can be expressed as {(ω1,x d1 ,x p1 ,x s1 ),(ω2,x d2 ,x p2 ,x s2 ),...(ω N ,x dN ,x pN ,x sN )}. The above set of satisfaction values ​​can be substituted into ω = x d *α+x p *β+x s *γIn the formula, the first impact factor α, the second impact factor β and the third impact factor γ are obtained.

[0050] In some embodiments of the present application, the method also includes: obtaining the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, and the time limit and time limit influence factor of the target event; and determining the sum of the product of the channel value and the channel influence factor, the product of the public opinion value and the first public opinion influence factor, and the product of the time limit and the time limit influence factor as the first evaluation data.

[0051] In this embodiment, the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, as well as the time limit and time limit influence factor of the target event can be obtained. Further, the product of the channel value and the channel influence factor, the product of the public opinion value and the first public opinion influence factor, and the sum of the product of the time limit and the time limit influence factor can be determined as the first evaluation data. Among them, the public opinion value of the target event can be the social public opinion value of the digital event. The time limit of the target event can be the time limit for the completion of the digital event. The first public opinion influence factor can be the social public opinion influence factor of the event when it is discovered.

[0052] Optionally, after obtaining the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, as well as the time limit and time limit influence factor of the target event, the evaluation value d of the digital event when it is discovered can be obtained by the following formula:

[0053] d=ln(1+θ1*c+θ2*D ps +θ3*Ts)

[0054] Among them, c can be used to represent the channel value of discovering digital events, D ps It can be used to represent the social public opinion value of a digital event, Ts can be used to represent the time limit for completing a digital event, θ1 can be used to represent the channel influence shadow of a digital event, θ2 can be used to represent the social public opinion influence factor of a digital event, and θ3 can be used to represent the influence factor of the time limit for completing a digital event.

[0055] Optionally, the channel value and social sentiment value of a digital event can be obtained by the following formula:

[0056]

[0057] In some embodiments of the present application, obtaining a channel influence factor, a first public opinion influence factor, and a time limit influence factor includes: obtaining multiple discovery data sets consisting of a first satisfaction value, a channel value, a public opinion value, and a time limit; and determining the channel influence factor, the first public opinion influence factor, and the time limit influence factor based on the discovery data sets.

[0058] In this embodiment, multiple discovery data sets consisting of first satisfaction values, channel values, public opinion values ​​and time limits can be obtained. Further based on the obtained discovery data sets, channel influence factors, first public opinion influence factors and time limit influence factors can be determined.

[0059] Optionally, the channel value of the event can be obtained by using the digital event discovery center module to obtain the discovery channel information of the event. It should be noted that the digital event full-process management system also includes a digital event public opinion center module, which can be used to obtain the situation of digital events in social public opinion and obtain the event public opinion characteristic value. The public opinion information of the event can be obtained in the digital event public opinion center module to obtain the public opinion value of the event. According to the digital event management method, the completion time limit specified for the event is obtained. In summary, the acquired discovery data set can be used Further put the above data set into the formula d = ln (1 + θ1 * c + θ2 * D ps +θ3*Ts), we can get the digital event channel influence shadow θ1, the digital event social public opinion influence factor θ2 and the digital event prescribed completion time influence factor θ3.

[0060] In some embodiments of the present application, the method also includes: obtaining the processing progress of the target event, the processing progress impact factor, the time limit, the public opinion value, and the second public opinion impact factor of the target event when being processed; determining the quotient of the processing progress and the time limit, and determining the second evaluation data based on the product of the quotient and the processing progress impact factor, and the sum of the product of the public opinion value and the second public opinion impact factor.

[0061] In this embodiment, the processing progress, processing progress influencing factor, time limit, public opinion value, and the second public opinion influencing factor of the target event when being processed can be obtained. After obtaining the processing progress, processing progress influencing factor, time limit, public opinion value, and the second public opinion influencing factor of the target event when being processed, the quotient of the processing progress and the time limit can be determined, and the second evaluation data can be determined based on the product of the quotient and the processing progress influencing factor and the sum of the product of the public opinion value and the second public opinion influencing factor. Among them, the second public opinion influencing factor can be the social public opinion value influencing factor of the digital event when being processed.

[0062] Optionally, after obtaining the processing progress, processing progress impact factor, time limit, public opinion value, and second public opinion impact factor of the target event during processing, the evaluation value p of the digital event during processing can be determined by the following formula:

[0063]

[0064] Among them, time can be used to indicate the current processing progress of a digital event, Ts can be used to indicate the time limit for completing a digital event, μ1 can be used to indicate the influencing factor of the digital event processing progress, and μ2 can be used to indicate the influencing factor of the social public opinion value of a digital event during processing.

[0065] In some embodiments of the present application, obtaining a processing progress influencing factor and a second public opinion influencing factor includes: obtaining a plurality of processing data sets consisting of a second satisfaction value, a processing progress, a time limit, and a public opinion value; and determining the processing progress influencing factor and the second public opinion influencing factor based on the processing data sets.

[0066] In this embodiment, a plurality of processing data sets consisting of second satisfaction values, processing progress, time limits and public opinion values ​​may be obtained. Further based on the obtained processing data sets, a processing progress influencing factor and a second public opinion influencing factor may be determined.

[0067] Optionally, use the digital event review center module to obtain the review satisfaction value x at each time point p , the specified completion time Ts of the time, and calculate the time progress time of the current time. Use the digital event public opinion center module to obtain the public opinion information of the event to obtain the public opinion value D of the event ps In summary, the obtained processed data set can be used Further substitute the above set into the formula In the above, we can get the impact factor μ1 of the digital event processing progress and the impact factor μ2 of the social public opinion value of the digital event during processing.

[0068] In some embodiments of the present application, the method also includes: obtaining the processing progress of the target event, the first target time limit and the first target time limit influence factor of the target event during supervision, the second target time limit and the second target time limit influence factor of the target event during supervision, and the public opinion value of the target event and the third public opinion influence factor of the target event during supervision; determining the first target quotient of the processing progress and the first target time limit, and the second target quotient of the processing progress and the second target time limit; determining the third evaluation data based on the sum of the product of the first target time limit influence factor and the first target quotient, the product of the second target time limit influence factor and the second target quotient, and the product of the public opinion value and the third public opinion influence factor.

[0069] In this embodiment, the processing progress of the target event, the first target time limit and the first target time limit influencing factor of the target event during supervision, the second target time limit and the second target time limit influencing factor of the target event during supervision, and the public opinion value of the target event and the third public opinion influencing factor of the target event during supervision can be obtained. Further, the first target quotient of the processing progress and the first target time limit, and the second target quotient of the processing progress and the second target time limit can be determined. Finally, based on the product of the first target time limit influencing factor and the first target quotient, the product of the second target time limit influencing factor and the second target quotient, and the sum of the product of the public opinion value and the third public opinion influencing factor, the third evaluation data is determined. Among them, the first target time limit can be the time limit required by the leader to complete the digital event during supervision. The second target time limit can be the time limit required by the leader to complete the digital event during supervision. The first target time limit influencing factor can be the influencing factor of the time limit required by the public to complete the digital event during supervision. The second target time limit influencing factor can be the influencing factor of the time limit required by the leader to complete the digital event during supervision. The third public opinion influencing factor can be the influencing factor of the social public opinion value of the digital event during supervision.

[0070] Optionally, the evaluation value s of the digital event during supervision can be obtained by the following formula:

[0071]

[0072] Among them, T P It can be used to indicate the deadline required by the public for digital events to be completed during supervision. l It can be used to indicate the time limit for completion of digital events when supervising. ps It can be used to represent the social public opinion value of a digital event during supervision. ξ1 can be used to represent the impact factor of the public's requirement for the completion time of a digital event during supervision. ξ2 can be used to represent the impact factor of the leadership's requirement for the completion time of a digital event during supervision. ξ3 can be used to represent the impact factor of the social public opinion value of a digital event during supervision.

[0073] In some embodiments of the present application, obtaining a first target time limit influence factor, a second target time limit influence factor and a third public opinion influence factor includes: obtaining multiple supervision data sets consisting of a third satisfaction value, a processing progress, a first target time limit, a second target time limit and a public opinion value; based on the supervision data sets, determining the first target time limit influence factor, the second target time limit influence factor and the third public opinion influence factor.

[0074] In this embodiment, multiple supervisory data sets consisting of the third satisfaction value, processing progress, first target time limit, second target time limit and public opinion value can be obtained. Further based on the obtained supervisory data sets, the first target time limit impact factor, the second target time limit impact factor and the third public opinion impact factor can be determined.

[0075] Optionally, use the digital event monitoring center module to obtain the review satisfaction value x at each time point s , digital events are supervised by the public and require completion of the time limit T P , digital time in supervision leader requires completion time limit T l , and calculate the time progress time of the current time. Use the digital event public opinion center module to obtain the public opinion information of the event to obtain the public opinion value D of the event ps In summary, the obtained supervised data set can be used Further substitute the above set into the formula In the above equation, we can obtain the influence factor ξ1 of the time limit required by the public for digital events during supervision, the influence factor ξ2 of the time limit required by leaders for digital events during supervision, and the influence factor ξ3 of the social public opinion value of digital events during supervision.

[0076] Optionally, by integrating the above formula, the full-process management evaluation value of digital events can be obtained:

[0077]

[0078] Among them, Φ can be used to represent the evaluation value of a digital event at any time.

[0079] In the embodiment of the present application, the event discovery module is used to obtain the first characteristic value of the target event when it is discovered, the event processing module is used to obtain the second characteristic value of the target event when it is processed, and the event supervision module is used to obtain the third characteristic value of the target event when it is supervised; the control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value and the third characteristic value, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system. In other words, the present application uses the event full-process processing system to evaluate the quality of the full-process processing of the event, such as the occurrence, processing, supervision and analysis, and obtains the evaluation result, thereby achieving the technical effect of effectively determining the evaluation result, and then solving the technical problem of being unable to effectively determine the evaluation result.

[0080] In order to help those skilled in the art better understand the technical solution of the present application, an example is now provided in conjunction with a specific embodiment.

[0081] At present, digital is a new operating mode formed under the existing information technology conditions. Relying on information technology and platforms, digital reforms are carried out in an all-round and systematic manner in terms of institutional mechanisms, organizational structures, methods and processes, leading the development of digital economy, digital society and digital cities. As an important part of services, digital event handling, the occurrence, handling, supervision and analysis of events and other important process links are inevitably linked to handling efficiency and service quality, which ultimately directly affects the image and public satisfaction.

[0082] In recent years, in the wave of digital transformation, services have gradually moved towards digitalization and intelligence. In the prior art, a method is provided to use video surveillance and artificial intelligence (AI) algorithms to improve the efficiency of discovering events in urban governance, greatly reducing the pressure on grassroots staff. For the processing of events, a method based on large models and natural language processing technology (Natural Language Processing, referred to as NLP) is also provided. However, the event acceptance and distribution provided in this method rely on manual sorting and manual distribution, which has the problems of large workload and low distribution accuracy. In summary, the prior art only provides for a certain process of governance events. There is no unified method to manage and evaluate the entire process of event occurrence, process, supervision, and analysis, so there is a problem that the evaluation results cannot be effectively determined.

[0083] In order to solve the above problems, in the context of digital construction, this application proposes a full-process management method and system for digital events, specifically involving the full-process supervision of events such as social governance, urban governance, people's livelihood demands, corporate demands, government services, ecological and environmental protection, etc. Relying on information technology and platforms, it aims to manage all aspects of important process links such as the occurrence, handling, supervision and analysis of events through all-round and systematic digital reforms, so as to achieve efficient and precise services, thereby improving the image, enhancing public satisfaction, and promoting the development of digital economy, digital society, and digital cities, solving the problems of cumbersome event handling processes, low efficiency, and lack of unified evaluation standards in existing technologies.

[0084] In the prior art, the way events are handled usually involves multiple departments and links, lacks unified management and coordination, and has the problem of fragmented event handling. In addition, information transmission and processing are often hindered, resulting in low processing efficiency. At the same time, there is a lack of unified and quantitative standards for the evaluation of event handling effects. However, in the embodiments of the present application, by integrating the six central modules of discovery, processing, supervision, commentary, public opinion and analysis, the full process management of event handling is realized, and the fragmentation problem is effectively solved. In addition, through the digital platform, the rapid transmission and efficient processing of information are realized, which greatly improves the efficiency of information processing. At the same time, by establishing a full-process management evaluation value model, a scientific and objective evaluation basis is provided for the event handling effect.

[0085] This application reduces delays in information transmission and duplication of work by integrating various process links, thereby improving the efficiency of event handling; it provides a quantitative evaluation tool through a full-process management evaluation value model, which helps to scientifically measure and improve service quality; the public can understand the progress and effects of event handling through the system, thereby enhancing transparency and credibility; the optimized processing process and efficient response mechanism have significantly improved public satisfaction with the service.

[0086] Figure 2 is a schematic diagram of a digital event full-process management system according to an embodiment of the present application, such as Figure 2 As shown, the digital event full-process management method and system include a digital event discovery center module 201, a digital event processing center module 202, a digital event supervision center module 203, a digital event comment center module 204, a digital event public opinion center module 205, and a digital event full-process analysis center module 206. The acquired events are sent to the event data center through multiple event channels such as the first event channel, the second event channel, and the third event channel, and the event data center sends the relevant events to the digital event full-process management system for processing.

[0087] The digital event discovery center module is used to obtain various digital event work orders and obtain the characteristic values ​​of event discovery. The digital event processing center module is used to obtain the digital event processing process and obtain the characteristic values ​​of event processing. The digital event supervision center module is used to obtain the digital event supervision situation and obtain the characteristic values ​​of event supervision. The digital event comment center module is used to obtain the digital event comment situation and obtain the event comment characteristic values. The digital event public opinion center module is used to obtain the situation of digital events in social public opinion and obtain the event public opinion characteristic values. The digital event full process analysis center module is used to analyze the digital information data of digital events and assess the full process management evaluation value of digital events.

[0088] First, a digital event full-process management evaluation value model is established. According to the digital event full-process management evaluation value, the digital event full-process management is managed. The specific process is to assess the digital event full-process management evaluation value. The execution expression is:

[0089] Φ=α*d+β*p+γ*s

[0090] Among them, Φ is the evaluation value of the whole process management of the event, α represents the impact factor of the digital event when it is discovered, β represents the impact factor of the digital event when it is processed, and γ represents the impact factor of the digital event when it is supervised. d represents the evaluation value of the digital event when it is discovered, p represents the evaluation value of the digital event when it is processed, and s represents the evaluation value of the digital event when it is supervised. In the above formula, the impact factors α, β, and γ of the digital event in the discovery, processing, and supervision processes are specifically calculated as follows: ω = x d *α+x p *β+x s *γ. Among them, x d 、x p 、x s They represent the satisfaction values ​​of digital events when they are discovered, processed, and supervised, and ω represents the satisfaction value of the entire process of the digital event.

[0091] The evaluation value d of a digital event when it is discovered is calculated using the following specific model:

[0092] d=ln(1+θ1*c+θ2*D ps +θ3*Ts)

[0093] Among them, c represents the channel value of discovering digital events, D ps It represents the social public opinion value of the digital event, Ts represents the time limit for the completion of the digital event, θ1 represents the influence shadow of the digital event channel, θ2 represents the social public opinion influence factor of the digital event, and θ3 represents the influence factor of the time limit for the completion of the digital event.

[0094] The channel value c of a digital event is calculated as:

[0095]

[0096] Digital event social sentiment value D ps The calculation method is:

[0097]

[0098] The evaluation value p of a digital event during processing, the specific model is:

[0099]

[0100] Among them, time represents the current time progress of the digital event, Ts represents the time limit for the completion of the digital event, μ1 represents the influencing factor of the digital event processing progress, and μ2 represents the influencing factor of the social public opinion value of the digital event when it is processed.

[0101] The evaluation value s of a digital event during supervision is calculated as follows:

[0102]

[0103] Among them, T P Indicates the deadline for the public to complete digital events during supervision, T l Indicates the deadline for the digital event to be completed during supervision. ps represents the social public opinion value of a digital event during supervision, ξ1 represents the influencing factor of the public's requirement for the completion time of a digital event during supervision, ξ2 represents the influencing factor of the leadership's requirement for the completion time of a digital event during supervision, and ξ3 represents the influencing factor of the social public opinion value of a digital event during supervision.

[0104] Secondly, build training data based on the model in the above steps. Obtain the satisfaction value of digital events in the digital event review center. The specific data set is as follows:

[0105] {(ω1,x d1 ,x p1 ,x s1 ),(ω2,x d2 ,x p2 ,x s2 ),...(ω N ,x dN ,x pN ,x sN )}

[0106] Obtain the discovery channel information of the event in the digital event discovery center, and use the channel value c calculation formula of the digital event discovery step to obtain the channel value of the event. Obtain the public opinion information of the event in the digital event public opinion center, and use the digital public opinion value calculation formula of the step above to obtain the public opinion value D of the event. ps According to the digital event management method, the completion time limit of the event is obtained. The data set is represented as follows:

[0107]

[0108] Based on the above data set, the impact factors of digital events at the time of discovery, processing, and supervision can be calculated respectively.

[0109] Get the review satisfaction value x at each time point in the digital event review center p, the specified completion time Ts of the time, and calculate the time progress time of the current time, obtain the public opinion information of the event in the digital event public opinion center, and use the digital public opinion value calculation formula in the above steps to obtain the public opinion value D of the event ps , the specific data set is as follows:

[0110]

[0111] Get the review satisfaction value x at each time point in the digital event monitoring center s , digital events are supervised by the public and require completion of the time limit T P , digital time in supervision leader requires completion time limit T l , and calculate the time progress time of the current time, obtain the public opinion information of the event in the digital event public opinion center, and use the digital public opinion value calculation formula in the above steps to obtain the public opinion value D of the event ps , the specific data set is as follows:

[0112]

[0113] Furthermore, the data set is substituted into the digital event full process management evaluation value model to establish the digital event full process management evaluation value execution expression. d1 ,x p1 ,x s1 ),(ω2,x d2 ,x p2 ,x s2 ),...(ω N ,x dN ,x pN ,x sN )}Substitute into the step formula ω=x d *α+x p *β+x s *γ, we can get the impact factors α, β, and γ of digital events in the discovery, processing, and supervision processes. Substitute the formula d = ln(1 + θ1*c + θ2*D ps +θ3*Ts), θ1 represents the influence shadow of the digital event channel, θ2 represents the social public opinion influence factor of the digital event, and θ3 represents the influence factor of the prescribed completion time limit of the digital event.

[0114] Collecting data Substitute into the formula In the data set, μ1 represents the impact factor of the digital event processing progress, and μ2 represents the impact factor of the social public opinion value of the digital event during processing. Substitute into the formula In the equation, ξ1 represents the influence factor of the public's requirement for the completion time of digital events during supervision, ξ2 represents the influence factor of the leader's requirement for the completion time of digital events during supervision, and ξ3 represents the influence factor of the social public opinion value of digital events during supervision.

[0115] By integrating the above formulas, we can get the execution formula of the digital event full-process management evaluation value Φ:

[0116]

[0117] According to the above formula, the evaluation value of the digital event at any time can be obtained.

[0118] The digital event full-process management system in this embodiment includes six modules: discovery center, processing center, supervision center, comment center, public opinion center and analysis center. Each module has its specific function and works together to complete the full-process management. Through each module, the characteristic values ​​of the event at different stages, such as discovery channels, processing progress, supervision status, public opinion reaction, etc., are obtained to provide a basis for subsequent data analysis. By establishing a full-process management evaluation value model that comprehensively considers the influencing factors of the event at each stage of discovery, processing and supervision, the model can quantitatively evaluate the processing effect of digital events. According to the trained model and real-time data, the full-process management evaluation value of digital events at any time can be dynamically calculated.

[0119] This embodiment can respond to and handle various events more quickly and improve service efficiency through the full-process management system. The full-process management evaluation value model provides accurate data support for decision-making, which helps to make more scientific and reasonable decisions. By optimizing the event handling process and improving processing efficiency, public satisfaction will be significantly improved. Through an open and transparent full-process management system, it can demonstrate its efficient and responsible image and enhance public trust in it.

[0120] In the embodiment of the present application, the event discovery module is used to obtain the first characteristic value of the target event when it is discovered, the event processing module is used to obtain the second characteristic value of the target event when it is processed, and the event supervision module is used to obtain the third characteristic value of the target event when it is supervised; the control event full-process analysis module determines the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value and the third characteristic value, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system. In other words, the present application uses the event full-process processing system to evaluate the quality of the full-process processing of the event, such as the occurrence, processing, supervision and analysis, and obtains the evaluation result, thereby achieving the technical effect of effectively determining the evaluation result, and then solving the technical problem of being unable to effectively determine the evaluation result.

[0121] Figure 3is a schematic diagram of a structure of a device for determining an evaluation result according to an embodiment of the present application, such as Figure 3 As shown, the device for determining the evaluation result is applied to an event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event supervision module and an event full-process analysis module, and the device for determining the evaluation result 300 may include: an acquisition unit 302 and a determination unit 304.

[0122] The acquisition unit 302 is used to use the event discovery module to acquire the first characteristic value of the target event when it is discovered, use the event processing module to acquire the second characteristic value of the target event when it is processed, and use the event monitoring module to acquire the third characteristic value of the target event when it is monitored.

[0123] Determination unit 304 is used to control the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, wherein the evaluation result is used to indicate the quality level of the full-process processing of the target event using the event full-process processing system.

[0124] Optionally, the first eigenvalue includes at least a first influencing factor and a first evaluation data, the second eigenvalue includes at least a second influencing factor and a second evaluation data, and the third eigenvalue includes at least a third influencing factor and a third evaluation data. The determination unit 304 includes: a first determination module, used to control the event full-process analysis module to determine the product of the first influencing factor and the first evaluation data, the product of the second influencing factor and the second evaluation data, and the product of the third influencing factor and the third evaluation data as the evaluation result.

[0125] Optionally, the device also includes: a first acquisition unit, used to use the event discovery module to obtain a first satisfaction value of the target event when it is discovered, use the event processing module to obtain a second satisfaction value of the target event when it is processed, and use the event supervision module to obtain a third satisfaction value of the target event when it is supervised; a first determination unit, used to determine the sum of the product of the first impact factor and the first satisfaction value, the product of the second impact factor and the second satisfaction value, and the product of the third impact factor and the third satisfaction value as the target satisfaction value of the target event during full-process processing, wherein the target satisfaction value is used to represent the satisfaction value of full-process processing of the target event using the event full-process processing system.

[0126] Optionally, the device also includes: a second acquisition unit, used to acquire multiple satisfaction value sets consisting of a first satisfaction value, a second satisfaction value, a third satisfaction value, and a target satisfaction value; a second determination unit, used to determine the first influencing factor, the second influencing factor and the third influencing factor of the target event based on the satisfaction value set.

[0127] Optionally, the device also includes: a third acquisition unit, used to obtain the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, and the time limit and time limit influence factor of the target event; a third determination unit, used to determine the sum of the product of the channel value and the channel influence factor, the product of the public opinion value and the first public opinion influence factor, and the product of the time limit and the time limit influence factor as the first evaluation data.

[0128] Optionally, the third acquisition unit includes: a first acquisition module, used to obtain multiple discovery data sets consisting of first satisfaction values, channel values, public opinion values ​​and time limits; a second determination module, used to determine the channel influence factor, the first public opinion influence factor and the time limit influence factor based on the discovery data sets.

[0129] Optionally, the device also includes: a fourth acquisition unit, used to obtain the processing progress of the target event, the processing progress influencing factor, the time limit, the public opinion value, and the second public opinion influencing factor of the target event when being processed; a fourth determination unit, used to determine the quotient of the processing progress and the time limit, and determine the second evaluation data based on the product of the quotient and the processing progress influencing factor, and the sum of the product of the public opinion value and the second public opinion influencing factor.

[0130] Optionally, the fourth acquisition unit includes: a second acquisition module, used to obtain multiple processing data sets consisting of second satisfaction values, processing progress, time limits and public opinion values; a third determination module, used to determine the processing progress influencing factor and the second public opinion influencing factor based on the processing data set.

[0131] Optionally, the device also includes: a fifth acquisition unit, used to acquire the processing progress of the target event, the first target time limit and the first target time limit influence factor of the target event during supervision, the second target time limit and the second target time limit influence factor of the target event during supervision, and the public opinion value of the target event and the third public opinion influence factor of the target event during supervision; a fifth determination unit, used to determine the first target quotient of the processing progress and the first target time limit, and the second target quotient of the processing progress and the second target time limit; a sixth determination unit, used to determine the third evaluation data based on the sum of the product of the first target time limit influence factor and the first target quotient, the product of the second target time limit influence factor and the second target quotient, and the product of the public opinion value and the third public opinion influence factor.

[0132] Optionally, the fifth acquisition unit includes: a third acquisition module, used to obtain multiple supervision data sets consisting of a third satisfaction value, a processing progress, a first target time limit, a second target time limit and a public opinion value; a fourth determination module, used to determine the first target time limit impact factor, the second target time limit impact factor and the third public opinion impact factor based on the supervision data set.

[0133] In the device, the acquisition unit 302 uses the event discovery module to acquire the first characteristic value of the target event when it is discovered, the event processing module uses the event processing module to acquire the second characteristic value of the target event when it is processed, and the event monitoring module uses the event monitoring module to acquire the third characteristic value of the target event when it is monitored; the determination unit 304 controls the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first characteristic value, the second characteristic value and the third characteristic value, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system. In other words, the present application uses the event full-process processing system to evaluate the quality of the full-process processing of the event, such as the occurrence, processing, supervision and analysis, and obtains the evaluation result, thereby achieving the technical effect of effectively determining the evaluation result, and thus solving the technical problem of being unable to effectively determine the evaluation result.

[0134] According to another aspect of an embodiment of the present application, a non-volatile storage medium is further provided, the non-volatile storage medium including a stored program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute any method for determining an evaluation result.

[0135] Specifically, the above storage medium is used to store program instructions for the following functions to implement the following functions:

[0136] An event discovery module is used to obtain a first eigenvalue of a target event when it is discovered, an event processing module is used to obtain a second eigenvalue of a target event when it is processed, and an event monitoring module is used to obtain a third eigenvalue of a target event when it is monitored; a control event full-process analysis module determines an evaluation result of the target event during full-process processing based on the first eigenvalue, the second eigenvalue, and the third eigenvalue, wherein the evaluation result is used to indicate a quality level of full-process processing of the target event using the event full-process processing system.

[0137] Optionally, in this embodiment, the above-mentioned storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above-mentioned contents. More specific examples of the above-mentioned storage medium may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above-mentioned contents.

[0138] In an exemplary embodiment of the present application, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the computer program implements any of the above-mentioned methods for determining the evaluation results.

[0139] Optionally, the computer program may implement the following steps when executed by a processor:

[0140] An event discovery module is used to obtain a first eigenvalue of a target event when it is discovered, an event processing module is used to obtain a second eigenvalue of a target event when it is processed, and an event monitoring module is used to obtain a third eigenvalue of a target event when it is monitored; a control event full-process analysis module determines an evaluation result of the target event during full-process processing based on the first eigenvalue, the second eigenvalue, and the third eigenvalue, wherein the evaluation result is used to indicate a quality level of full-process processing of the target event using the event full-process processing system.

[0141] According to an embodiment of the present application, an electronic device is provided, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any one of the above-mentioned methods for determining the evaluation results.

[0142] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0143] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0144] like Figure 4 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 402 or a computer program loaded from a storage unit 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0145] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0146] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 401 performs the various methods and processes described above, such as the determination method of the evaluation result. For example, in some embodiments, the determination method of the evaluation result may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the determination method of the evaluation result described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the determination method of the evaluation result by any other appropriate means (e.g., by means of firmware).

[0147] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0148] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0149] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0150] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0151] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by 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), and the Internet.

[0152] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0153] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0154] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the above-mentioned units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0156] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0157] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0158] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0159] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining an evaluation result, characterized in that: Applied to an event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event monitoring module and an event full-process analysis module, and the method includes: Using the event discovery module to obtain a first characteristic value of the target event when it is discovered, using the event processing module to obtain a second characteristic value of the target event when it is processed, and using the event monitoring module to obtain a third characteristic value of the target event when it is monitored; Control the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system.

2. The method according to claim 1, characterized in that The first eigenvalue includes at least a first influencing factor and a first evaluation data, the second eigenvalue includes at least a second influencing factor and a second evaluation data, and the third eigenvalue includes at least a third influencing factor and a third evaluation data, and controlling the event full-process analysis module to determine an evaluation result of the target event during full-process processing based on the first eigenvalue, the second eigenvalue, and the third eigenvalue, includes: The event full-process analysis module is controlled to determine the sum of the product of the first influencing factor and the first evaluation data, the product of the second influencing factor and the second evaluation data, and the product of the third influencing factor and the third evaluation data as the evaluation result.

3. The method according to claim 2, characterized in that The method further comprises: Using the event discovery module to obtain a first satisfaction value of the target event when discovered, using the event processing module to obtain a second satisfaction value of the target event when processed, and using the event supervision module to obtain a third satisfaction value of the target event when supervised; The sum of the product of the first impact factor and the first satisfaction value, the product of the second impact factor and the second satisfaction value, and the product of the third impact factor and the third satisfaction value is determined as the target satisfaction value of the target event during full-process processing, wherein the target satisfaction value is used to represent the satisfaction value of full-process processing of the target event using the event full-process processing system.

4. The method according to claim 3, characterized in that The method further comprises: Acquire a plurality of satisfaction value sets consisting of the first satisfaction value, the second satisfaction value, the third satisfaction value, and the target satisfaction value; Based on the satisfaction value set, the first impact factor, the second impact factor, and the third impact factor of the target event are determined.

5. The method according to claim 3, characterized in that: The method further comprises: Obtaining the channel value and channel influence factor of the target event, the public opinion value of the target event and the first public opinion influence factor of the target event when it is discovered, and the time limit and time limit influence factor of the target event; The sum of the product of the channel value and the channel influence factor, the product of the public opinion value and the first public opinion influence factor, and the product of the time limit and the time limit influence factor is determined as the first evaluation data.

6. The method according to claim 5, characterized in that Obtaining the channel influence factor, the first public opinion influence factor, and the time limit influence factor includes: Acquire a plurality of discovery data sets consisting of the first satisfaction value, the channel value, the public opinion value, and the time limit; Based on the discovery data set, the channel influence factor, the first public opinion influence factor and the time limit influence factor are determined.

7. The method according to claim 3, characterized in that The method further comprises: Obtaining the processing progress, processing progress influencing factor, time limit, public opinion value of the target event, and the second public opinion influencing factor of the target event during processing; The quotient of the processing progress and the time limit is determined, and the second evaluation data is determined based on the sum of the product of the quotient and the processing progress impact factor and the product of the public opinion value and the second public opinion impact factor.

8. The method according to claim 7, characterized in that Obtaining the processing progress influencing factor and the second public opinion influencing factor includes: Acquire a plurality of processing data sets consisting of the second satisfaction value, the processing progress, the time limit, and the public opinion value; Based on the processing data set, the processing progress influencing factor and the second public opinion influencing factor are determined.

9. The method according to claim 3, characterized in that: The method further comprises: Obtaining the processing progress of the target event, the first target time limit and the first target time limit impact factor of the target event during supervision, the second target time limit and the second target time limit impact factor of the target event during supervision, and the public opinion value of the target event and the third public opinion impact factor of the target event during supervision; determining a first target quotient of the processing progress and the first target time limit, and a second target quotient of the processing progress and the second target time limit; The third evaluation data is determined based on the sum of the product of the first target time limit impact factor and the first target quotient, the product of the second target time limit impact factor and the second target quotient, and the product of the public opinion value and the third public opinion impact factor.

10. The method according to claim 9, characterized in that Acquiring the first target time limit impact factor, the second target time limit impact factor, and the third public opinion impact factor includes: Acquire a plurality of supervision data sets consisting of the third satisfaction value, the processing progress, the first target time limit, the second target time limit, and the public opinion value; Based on the supervision data set, the first target time limit impact factor, the second target time limit impact factor and the third public opinion impact factor are determined.

11. A device for determining an evaluation result, characterized in that: Applied to the event full-process processing system, wherein the event full-process processing system includes at least an event discovery module, an event processing module, an event monitoring module and an event full-process analysis module, and the device includes: an acquisition unit, configured to acquire a first characteristic value of a target event when it is discovered by using the event discovery module, to acquire a second characteristic value of the target event when it is processed by using the event processing module, and to acquire a third characteristic value of the target event when it is supervised by using the event supervision module; A determination unit is used to control the event full-process analysis module to determine the evaluation result of the target event during the full-process processing based on the first eigenvalue, the second eigenvalue and the third eigenvalue, wherein the evaluation result is used to represent the quality level of the full-process processing of the target event using the event full-process processing system.

12. A non-volatile storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 10.

13. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 10.

14. A computer program product, characterized in that The computer program product comprises a computer program, wherein the computer program is configured to perform the method of any one of claims 1 to 10 when executed by a processor.

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