CN117952571B - Multi-terminal fusion-based data information intelligent supervision system and method - Google Patents
Multi-terminal fusion-based data information intelligent supervision system and method Download PDFInfo
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Abstract
The invention discloses a data information intelligent supervision system and method based on multi-terminal fusion, and belongs to the technical field of flow decision making. The system comprises a data acquisition module, a data analysis module, a flow decision module and a visualization module; the data acquisition module is used for acquiring all flow information and personnel information; the data analysis module is used for analyzing the flow information and the personnel information, calculating the approval time limit according to the emergency level of the flow and the time limit requirement corresponding to each approval node type, and calculating the approval time length according to the approval log of the personnel; the flow decision-making module analyzes the difference between the approval time and the approval time limit in real time to dynamically match proper personnel, monitors the approval process, and prompts the personnel to accelerate the approval speed in a message prompting mode when the personnel receives the flow with the approval time limit or the approval time limit is about to reach the approval time limit; the visualization module is used for providing a visual interface for each flow initiator to display flow approval dynamics.
Description
Technical Field
The invention relates to the technical field of flow decision making, in particular to a data information intelligent supervision system and method based on multi-terminal fusion.
Background
With the continuous progress of information technology, the application of technologies such as electronic approval, workflow management systems and the like enables automation, standardization and visualization of flow approval. This has also prompted research into flow approval to better utilize information technology to improve the efficiency of flow approval.
In the current stage, in terms of improvement and improvement of flow approval efficiency, the approval speed is generally improved by adopting modes such as time-limited approval or approval forwarding. The time-limited approval refers to limiting the approval behavior for a period of time to promote related personnel to rapidly complete approval, and the approval forwarding refers to automatically forwarding the approval to other appointed personnel when the related personnel are busy. These methods have certain drawbacks, such as: 1. the time-consuming difference exists among different examination and approval types, the examination and approval duration related to writing of a large number of characters is far longer than the examination and approval duration for selecting whether to authorize or not, and the flow examination and approval quality cannot be ensured by adopting a time-limited examination and approval mode. 2. Different approval devices are used by the same person, different approval time lengths of the same device are different for different approval personnel, and the approval efficiency of the flow cannot be improved by adopting an approval forwarding mode. 3. The optimization of the process approval is only carried out for each approval node, the dynamic adjustment of each approval node can not be carried out according to the whole approval progress of the process, and the mutual coordination among different processes is not achieved. Therefore, a more efficient process approval efficiency supervision scheme is needed at present to solve the above problems.
Disclosure of Invention
The invention aims to provide a data information intelligent supervision system and method based on multi-terminal fusion, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a data information intelligent supervision method based on multi-terminal fusion comprises the following steps:
s1, collecting all flow information to be allocated and personnel information in an OA system in real time;
S2, calculating approval time limit according to the flow information, and calculating approval time length by analyzing personnel information;
s3, matching corresponding personnel for each flow to be allocated, and supervising and prompting the batch examination process;
s4, displaying the flow dynamic information in a visual interface of each flow initiator.
In S1, the OA system refers to a platform for initiating a procedure and a procedure approval, and the procedure refers to an item requiring approval. The process information comprises an emergency level, a process state and approval node information, the process state comprises to-be-dispatched and dispatched, the approval nodes refer to specific steps which need to be approved in one process, and the approval node information refers to approval types, quasi-approval personnel, real-approval personnel and real-approval duration of each approval node.
The specific value of the emergency level of the flow is set in advance by an OA system administrator according to the actual situation, each flow has the respective emergency level, and a flow initiator can intuitively see the emergency level corresponding to each flow when selecting the flow to initiate. The emergency level is 1-10, the level 1 is the highest emergency level, and the level 10 is the lowest emergency level. The higher the urgency level of a process, the shorter the time limit of the process requirement, and the need to complete as soon as possible.
The flow state represents the dispatch state of the flow, with the initial state not yet dispatched. The to-be-dispatched refers to the state that the number of approved nodes which finish approval in the process is smaller than the number of all approved nodes, and no personnel are dispatched to perform approval operation. Assigned refers to the state in which the flow has been assigned to a person for approval operations.
Each process comprises a plurality of approval nodes, and each approval node has an individual approval type and a quasi-inspector. The approval types include process authorization, replenishment advice, and augmentation of material. The reviewer is set in advance by an administrator or a flow initiator. When the approval node does not conduct approval, the approval type and the pre-approved personnel have data, and the real-approved personnel and the real-approved time period have no data. When the approval node finishes approval, the approval type, the quasi-inspector, the real-inspector and the real-time duration are all provided with data.
Personnel refers to the personnel responsible for approval work in one process, and the personnel information includes an identifier, personnel status, assigned personnel, terminal type, and approval log. The identifier is used for distinguishing different personnel, the personnel state comprises free and busy, the terminal type comprises a computer terminal and a mobile terminal, the approval log refers to historical approval records of the personnel, and each historical approval record comprises the terminal type, the approval type and the approval duration.
The assigned personnel are preset by each personnel, the number of the assigned personnel is one or more, and the assigned personnel have the same approval authority as the personnel and can accept approval tasks of the personnel.
The identifier is an account of the person on the OA system for providing unique login authentication and dispatch of the person. After the personnel logs in the OA system, the initial state defaults to an idle state, the state is automatically set to a busy state when the personnel performs flow approval, and the state is automatically set to the idle state when the personnel completes the flow approval.
In S2, the specific steps are as follows:
S201, obtaining all emergency grades of flows to be dispatched, and approval types of all approval nodes under the flows to be dispatched, setting different basic time limits according to different approval types, substituting the emergency grades of the flows into a formula to calculate the node time limit of each approval node, summing the node time limits of all the approval nodes under the flows to obtain an approval time limit T, and corresponding one approval time limit to each flow to be dispatched, wherein the calculation formula is as follows:
In the method, in the process of the invention, For/>Basic time limit corresponding to approval type of individual approval node,/>For the number of approval nodes of the flow,/>Is the urgency level of the process.
Since the number of approval nodes and the type of each approval node are different between different processes, the approval time limit needs to be calculated according to different situations of each process. The approval time limit is inversely proportional to the emergency level, and the higher the emergency level, the lower the approval time limit.
S202, each person establishes an assignment set, the identifiers of the person and the identifiers of all assigned persons corresponding to the person are put into the corresponding assignment set, whether the same identifiers exist in different assignment sets or not is judged, the two corresponding assignment sets are combined into one assignment set, the combination is continuously judged until the situation that the same identifiers do not exist in each assignment set and the other assignment sets is judged, and the combination is ended.
When people are assigned to each other or sequentially, the people with assignment relation can be regarded as people capable of performing approval operation on the approval node, and an assignment set is established based on the people.
S203, acquiring approval logs of each person, classifying all the historical approval records according to the terminal types, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain average approval durations, wherein the number of the average approval durations is the product of the number of the terminal types and the number of the approval types.
The terminal type represents different devices logged in the OA system, and the different devices have differences in display page size and input mode, so that even the same person uses different devices to perform approval at different speeds, some people may be more accustomed to desktop computer approval, and some people may be more accustomed to mobile phone approval, thereby causing approval speed differences.
Only if the terminal type and the approval type are the same, the average approval duration can be calculated after the approval durations are summed, and the average approval duration can not be calculated after the approval durations are summed by different terminal types or different approval types.
In S3, the specific steps are as follows:
s301, establishing a matching set for each flow to be allocated, acquiring identifiers of the to-be-examined personnel of the next examination and approval node in each flow to be allocated, searching an assigned set where the identifiers are located, analyzing states of all the personnel corresponding to the identifiers in the assigned set, and placing the identifiers with the states of idle personnel in the corresponding matching set.
S302, analyzing an approval type n of a next approval node of a flow to be dispatched and a terminal type e of a person corresponding to each identifier in a matching set, and acquiring average approval duration of the person in the same approval type as the next approval node under the terminal typeAnd node time limit/>, of next approval node of flow to be dispatchedSubstituting the index into a formula to calculate the matching index/>, of each identifier in the matching setThe formula is as follows:
S303, taking the person corresponding to the identifier with the highest matching index in each matching set as a preselected person of the flow to be dispatched, judging whether the preselected persons of different flows to be dispatched have the same identifier, and taking the preselected person as an actual examination person of the flow to be dispatched if the preselected persons do not have the same identifier, and entering the step S305; if so, the process proceeds to step S304.
S304, marking the flows to be dispatched, with the same identifier, of the preselect personnel, substituting the approval time limit and the emergency level of each marking flow, and the node time limit and the real examination time length of the approved nodes into a formula, and calculating the priority index of each marking flow, wherein the formula is as follows:
In the method, in the process of the invention, To delay the total duration,/>For the number of examined nodes,/>For/>The length of the actual examination of each examination node,For/>Node time limit of individual approval node,/>Is a priority index,/>For emergency level influence coefficient,/>The coefficients are affected for the duration. The preselection personnel of the marking process with the highest priority index remain unchanged, the preselection personnel of other marking processes and the identifier with the highest matching index in the corresponding matching set are deleted, and the step S303 is re-entered after the marks of all processes are cancelled.
When the process first dispatches personnel, the priority index is only related to the urgency level, as there are no approved nodes. When the flow has approved nodes, the priority index is related to the total length of delay and the urgency level.
When the total time delay of the two flows is the same, the flow with smaller residual time limit needs to be remedied, so personnel with higher matching index need to be allocated for approval.
S305, issuing information of a flow to be allocated to terminal equipment of an actual inspector, recording issuing time, modifying the state of the flow to be allocated, modifying the state of the actual inspector to be busy, supervising the approval process and prompting, wherein prompting means that the approval personnel are informed to accelerate the approval speed in a message prompting mode, and comprises prompting the process and prompting the result; the process promotion refers to promoting the whole approval process when the delay total time is longer than zero; the result promotion means that the approval process is promoted when the h times of the node time limit of the approval node is reached, and the h value is more than 0 and less than 1.
After the information of the flow to be allocated is issued to the terminal equipment of the real-trial staff, the behavior of the real-trial staff is supervised, a section of response time TX is set, the real-trial staff starts from the issuing time and does not open the flow approval page in the response time, and then the flow is automatically allocated to the terminal equipment of the idle staff in the first L states of the matching set in the order from the big to the small according to the matching index. When one of the personnel opens the flow approval page within the response time, the personnel is automatically set as a real-audit personnel, approval operation of approval nodes responsible for the flow is carried out, flow information on terminal equipment of other personnel is withdrawn, and the states of the other personnel are modified to be idle.
S306, uploading flow information and recording uploading time after the approval of the real inspector is completed, modifying the state of the real inspector into idle state, subtracting the time length of the issuing time from the uploading time as real-time length, putting the real inspector and the real-time length into corresponding approval node information of the flow, and storing the real-time length as approval time length together with the terminal type and the approval type into an approval log of the real inspector; judging the number of the examined nodes under each flowWhether or not equal to the number of approval nodes/>If the flow is equal to the first set of parameters, ending the flow approval; if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the step S301.
The number statistics of the approved nodes is judged according to whether the data exists in the actual examination personnel and the actual examination time length of each approved node in the approved node information, if so, the approved node is approved, and if not, the approved node is not approved.
When the number of the approved nodes in the process is equal to the number of the approved nodes, all the approved nodes are finished with approval, so the process is ended. If the number of the approved nodes in the flow is not equal to the number of the approved nodes, the fact that the approved nodes are not approved is indicated, and the approval needs to be continued to be carried out by reassigning personnel.
The flow information is displayed in real time in a visual interface of a flow initiator, and the visual interface displays the currently-stayed examination nodes of the flow through images, and displays the actual examination personnel and the actual examination duration on each examined node through characters.
The system comprises a data acquisition module, a data analysis module, a flow decision module and a visualization module.
The data acquisition module is used for acquiring all flow information and personnel information. The data analysis module is used for analyzing the flow information and the personnel information, calculating the approval time limit according to the emergency level of the flow and the time limit requirement corresponding to each approval node type, and calculating the approval time length according to the approval log of the personnel. The flow decision-making module analyzes the difference between the approval time and the approval time limit to dispatch personnel for each flow and supervise the approval process, and when the personnel receives the flow with the approval time limit or the approval time limit is about to reach the approval time limit, the personnel is prompted to accelerate the approval speed in a message prompting mode. The visualization module is used for providing a visual interface for each flow initiator to display flow approval dynamics.
The data acquisition module comprises a flow information acquisition unit and a personnel information acquisition unit.
The process information acquisition unit is used for acquiring the emergency level, the process state and the approval node information of the process, wherein the process state comprises to-be-dispatched and dispatched, the approval node refers to a specific step which needs to be approved in one process, and the approval node information refers to the approval type, the quasi-approval personnel, the real-approval personnel and the real-approval duration of each approval node.
The personnel information acquisition unit is used for acquiring an identifier, a personnel state, an assigned personnel, a terminal type and an approval log of the personnel. The identifier is used for distinguishing different personnel, the personnel state comprises free and busy, the terminal type comprises a computer terminal and a mobile terminal, the approval log refers to historical approval records of the personnel, and each historical approval record comprises the terminal type, the approval type and the approval duration.
The data analysis module comprises a flow time limit calculation unit and a personnel record analysis unit.
The flow time limit calculating unit is used for calculating approval time limit of the flow to be allocated and node time limit of each approval node. Setting different basic time limits for different approval types, dividing the emergency level of the flow to be allocated by the minimum emergency level, multiplying the minimum emergency level by the basic time limit corresponding to the approval type of each approval node under the flow to be allocated to obtain the node time limit of each approval node, and summing the node time limits of all approval nodes under the flow to obtain the approval time limit.
The personnel record analysis unit is used for dividing the assignment set and calculating the average approval duration. And establishing an assignment set for each person, putting the identifiers of the person and the identifiers of all the assigned persons corresponding to the person into the corresponding assignment set, and merging the two assignment sets into one assignment set when the same identifiers exist in different assignment sets. Classifying all the historical approval records of each person according to the terminal type, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain an average approval duration.
The flow decision module comprises a dynamic dispatch unit and an intelligent sponsoring unit.
The dynamic dispatch unit is used for dispatching personnel for each flow. Firstly, acquiring an assigned set of identifiers of the to-be-examined personnel of the next examination node in each flow to be assigned, analyzing states of all personnel corresponding to the identifiers in the assigned set, and taking the personnel with the idle states as matching personnel. Secondly, acquiring a terminal type e of a matched person and an approval type n of an approval node in a flow to be dispatched, and searching to obtain an average approval duration with the terminal type e and the approval type nAnd calculating a matching index according to the average approval duration. And then, taking the matched person with the highest matching index as a preselected person of the flow to be dispatched, when the preselected persons of different flows to be dispatched have the same identifier, calculating the priority index of the flow to be dispatched, with the same identifier, of the preselected person, wherein the preselected person of the flow to be dispatched with the highest priority index is kept unchanged, and the preselected person is reselected from the other flows to be dispatched. And finally, when the preselection staff of different processes to be allocated do not have the same identifier, the preselection staff is used as a real-examination staff of the processes to be allocated, the information of the processes to be allocated is issued to the terminal equipment of the real-examination staff, the issuing time is recorded, the state of the processes is changed to be allocated, and the state of the real-examination staff is changed to be busy.
The intelligent prompting unit is used for supervising the approval process and prompting. The method comprises the steps of informing an approver of accelerating the approval speed in a message prompting mode, uploading flow information and recording uploading time after the approval of an actual inspector is finished, modifying the state of the actual inspector into idle state, subtracting the duration of the issuing time from the uploading time to be used as the actual approval duration, putting the actual inspector and the actual approval duration into corresponding approval node information of the flow, and storing the actual approval duration as the approval duration together with the terminal type and the approval type into an approval log of the actual inspector. Judging whether all approval nodes of each flow are approved or not, if so, ending the flow approval; and if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the dynamic allocation unit.
The visualization module is used for displaying the examination nodes currently stayed by the flow and the real-time examination personnel and the real-time examination duration on each examined node in real time in a visualization interface of the flow initiator.
Compared with the prior art, the invention has the following beneficial effects:
1. Accurate measurement time: according to the method, the approval time limit and the approval time length are accurately measured, and the reasonable approval time limit of the flow is comprehensively calculated according to the number of approval nodes of the flow, the basic time limit corresponding to the approval type of each approval node and the emergency level. And evaluating the approval duration of different approval types on different terminals according to personnel, and predicting the theoretical approval duration of the flow. Compared with the traditional mechanical set approval time, the method has the advantages that the time required for completing the process can be estimated more accurately.
2. Dynamic matching mechanism: according to the application, different matching calculation is carried out on each approval node of the process, the approval calculation is not limited to only by a fitter, a dynamic dispatch mechanism is adopted, the matching index is calculated to consider the approval efficiency of the personnel in the current environment, and meanwhile, the priority index is calculated to consider the coordination efficiency of different processes, so that the method is more flexible compared with the fixed personnel approval of the traditional technology.
3. Intelligent promotion and dispatch: according to the application, an intelligent prompting and dispatching mechanism is adopted, when personnel receive a flow with the delay total time longer than zero, the flow approval requirement can be quickly known at the early stage of approval, so that the approval speed is improved, the prompting is carried out when the approval time limit is reached, and the personnel can grasp the approval speed and avoid overtime. The response time is adopted to carry out the same-flow multi-person dispatch mechanism, so that the flow execution efficiency is higher, and the long-time retention phenomenon after the dispatch of the flow is avoided.
In summary, compared with the traditional technology, the method has the advantages of precisely measuring time, dynamically matching the time and intelligently prompting and assigning, and can improve the flow approval efficiency.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow diagram of a method for intelligently supervising data information based on multi-terminal fusion according to the present invention;
Fig. 2 is a schematic structural diagram of a data information intelligent supervision system based on multi-terminal fusion.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a data information intelligent supervision method based on multi-terminal fusion, which comprises the following steps:
s1, collecting all flow information to be allocated and personnel information in an OA system in real time;
S2, calculating approval time limit according to the flow information, and calculating approval time length by analyzing personnel information;
s3, matching corresponding personnel for each flow to be allocated, and supervising and prompting the batch examination process;
s4, displaying the flow dynamic information in a visual interface of each flow initiator.
In S1, the OA system refers to a platform for initiating a procedure and a procedure approval, and the procedure refers to an item requiring approval. The process information comprises an emergency level, a process state and approval node information, the process state comprises to-be-dispatched and dispatched, the approval nodes refer to specific steps which need to be approved in one process, and the approval node information refers to approval types, quasi-approval personnel, real-approval personnel and real-approval duration of each approval node.
The specific value of the emergency level of the flow is set in advance by an OA system administrator according to the actual situation, each flow has the respective emergency level, and a flow initiator can intuitively see the emergency level corresponding to each flow when selecting the flow to initiate. The emergency level is 1-10, the level 1 is the highest emergency level, and the level 10 is the lowest emergency level. The higher the urgency level of a process, the shorter the time limit of the process requirement, and the need to complete as soon as possible.
The flow state represents the dispatch state of the flow, with the initial state not yet dispatched. The to-be-dispatched refers to the state that the number of approved nodes which finish approval in the process is smaller than the number of all approved nodes, and no personnel are dispatched to perform approval operation. Assigned refers to the state in which the flow has been assigned to a person for approval operations.
Each process comprises a plurality of approval nodes, and each approval node has an individual approval type and a quasi-inspector. The approval types include process authorization, replenishment advice, and augmentation of material. The reviewer is set in advance by an administrator or a flow initiator. When the approval node does not conduct approval, the approval type and the pre-approved personnel have data, and the real-approved personnel and the real-approved time period have no data. When the approval node finishes approval, the approval type, the quasi-inspector, the real-inspector and the real-time duration are all provided with data.
Personnel refers to the personnel responsible for approval work in one process, and the personnel information includes an identifier, personnel status, assigned personnel, terminal type, and approval log. The identifier is used for distinguishing different personnel, the personnel state comprises free and busy, the terminal type comprises a computer terminal and a mobile terminal, the approval log refers to historical approval records of the personnel, and each historical approval record comprises the terminal type, the approval type and the approval duration.
The assigned personnel are preset by each personnel, the number of the assigned personnel is one or more, and the assigned personnel have the same approval authority as the personnel and can accept approval tasks of the personnel.
The identifier is an account of the person on the OA system for providing unique login authentication and dispatch of the person. After the personnel logs in the OA system, the initial state defaults to an idle state, the state is automatically set to a busy state when the personnel performs flow approval, and the state is automatically set to the idle state when the personnel completes the flow approval.
In S2, the specific steps are as follows:
S201, obtaining all emergency grades of flows to be dispatched, and approval types of all approval nodes under the flows to be dispatched, setting different basic time limits according to different approval types, substituting the emergency grades of the flows into a formula to calculate the node time limit of each approval node, summing the node time limits of all the approval nodes under the flows to obtain an approval time limit T, and corresponding one approval time limit to each flow to be dispatched, wherein the calculation formula is as follows:
In the method, in the process of the invention, For/>Basic time limit corresponding to approval type of individual approval node,/>For the number of approval nodes of the flow,/>Is the urgency level of the process.
Since the number of approval nodes and the type of each approval node are different between different processes, the approval time limit needs to be calculated according to different situations of each process. The approval time limit is inversely proportional to the emergency level, and the higher the emergency level, the lower the approval time limit.
S202, each person establishes an assignment set, the identifiers of the person and the identifiers of all assigned persons corresponding to the person are put into the corresponding assignment set, whether the same identifiers exist in different assignment sets or not is judged, the two corresponding assignment sets are combined into one assignment set, the combination is continuously judged until the situation that the same identifiers do not exist in each assignment set and the other assignment sets is judged, and the combination is ended.
When people are assigned to each other or sequentially, the people with assignment relation can be regarded as people capable of performing approval operation on the approval node, and an assignment set is established based on the people.
S203, acquiring approval logs of each person, classifying all the historical approval records according to the terminal types, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain average approval durations, wherein the number of the average approval durations is the product of the number of the terminal types and the number of the approval types.
The terminal type represents different devices logged in the OA system, and the different devices have differences in display page size and input mode, so that even the same person uses different devices to perform approval at different speeds, some people may be more accustomed to desktop computer approval, and some people may be more accustomed to mobile phone approval, thereby causing approval speed differences.
Only if the terminal type and the approval type are the same, the average approval duration can be calculated after the approval durations are summed, and the average approval duration can not be calculated after the approval durations are summed by different terminal types or different approval types.
In S3, the specific steps are as follows:
s301, establishing a matching set for each flow to be allocated, acquiring identifiers of the to-be-examined personnel of the next examination and approval node in each flow to be allocated, searching an assigned set where the identifiers are located, analyzing states of all the personnel corresponding to the identifiers in the assigned set, and placing the identifiers with the states of idle personnel in the corresponding matching set.
S302, analyzing an approval type n of a next approval node of a flow to be dispatched and a terminal type e of a person corresponding to each identifier in a matching set, and acquiring average approval duration of the person in the same approval type as the next approval node under the terminal typeAnd node time limit/>, of next approval node of flow to be dispatchedSubstituting the index into a formula to calculate the matching index/>, of each identifier in the matching setThe formula is as follows:
S303, taking the person corresponding to the identifier with the highest matching index in each matching set as a preselected person of the flow to be dispatched, judging whether the preselected persons of different flows to be dispatched have the same identifier, and taking the preselected person as an actual examination person of the flow to be dispatched if the preselected persons do not have the same identifier, and entering the step S305; if so, the process proceeds to step S304.
S304, marking the flows to be dispatched, with the same identifier, of the preselect personnel, substituting the approval time limit and the emergency level of each marking flow, and the node time limit and the real examination time length of the approved nodes into a formula, and calculating the priority index of each marking flow, wherein the formula is as follows:
In the method, in the process of the invention, To delay the total duration,/>For the number of examined nodes,/>For/>The length of the actual examination of each examination node,For/>Node time limit of individual approval node,/>Is a priority index,/>For emergency level influence coefficient,/>The coefficients are affected for the duration. The preselection personnel of the marking process with the highest priority index remain unchanged, the preselection personnel of other marking processes and the identifier with the highest matching index in the corresponding matching set are deleted, and the step S303 is re-entered after the marks of all processes are cancelled.
When the process first dispatches personnel, the priority index is only related to the urgency level, as there are no approved nodes. When the flow has approved nodes, the priority index is related to the total length of delay and the urgency level.
When the total time delay of the two flows is the same, the flow with smaller residual time limit needs to be remedied, so personnel with higher matching index need to be allocated for approval.
S305, issuing information of a flow to be allocated to terminal equipment of an actual inspector, recording issuing time, modifying the state of the flow to be allocated, modifying the state of the actual inspector to be busy, supervising the approval process and prompting, wherein prompting means that the approval personnel are informed to accelerate the approval speed in a message prompting mode, and comprises prompting the process and prompting the result; the process promotion refers to promoting the whole approval process when the delay total time is longer than zero; the result promotion means that the approval process is promoted when the h times of the node time limit of the approval node is reached, and the h value is more than 0 and less than 1.
After the information of the flow to be allocated is issued to the terminal equipment of the real-trial staff, the behavior of the real-trial staff is supervised, a section of response time TX is set, the real-trial staff starts from the issuing time and does not open the flow approval page in the response time, and then the flow is automatically allocated to the terminal equipment of the idle staff in the first L states of the matching set in the order from the big to the small according to the matching index. When one of the personnel opens the flow approval page within the response time, the personnel is automatically set as a real-audit personnel, approval operation of approval nodes responsible for the flow is carried out, flow information on terminal equipment of other personnel is withdrawn, and the states of the other personnel are modified to be idle.
S306, uploading flow information and recording uploading time after the approval of the real inspector is completed, modifying the state of the real inspector into idle state, subtracting the time length of the issuing time from the uploading time as real-time length, putting the real inspector and the real-time length into corresponding approval node information of the flow, and storing the real-time length as approval time length together with the terminal type and the approval type into an approval log of the real inspector; judging the number of the examined nodes under each flowWhether or not equal to the number of approval nodes/>If the flow is equal to the first set of parameters, ending the flow approval; if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the step S301.
The number statistics of the approved nodes is judged according to whether the data exists in the actual examination personnel and the actual examination time length of each approved node in the approved node information, if so, the approved node is approved, and if not, the approved node is not approved.
When the number of the approved nodes in the process is equal to the number of the approved nodes, all the approved nodes are finished with approval, so the process is ended. If the number of the approved nodes in the flow is not equal to the number of the approved nodes, the fact that the approved nodes are not approved is indicated, and the approval needs to be continued to be carried out by reassigning personnel.
The flow information is displayed in real time in a visual interface of a flow initiator, and the visual interface displays the currently-stayed examination nodes of the flow through images, and displays the actual examination personnel and the actual examination duration on each examined node through characters.
Referring to fig. 2, the invention provides a data information intelligent supervision system based on multi-terminal fusion, which comprises a data acquisition module, a data analysis module, a flow decision module and a visualization module.
The data acquisition module is used for acquiring all flow information and personnel information. The data analysis module is used for analyzing the flow information and the personnel information, calculating the approval time limit according to the emergency level of the flow and the time limit requirement corresponding to each approval node type, and calculating the approval time length according to the approval log of the personnel. The flow decision-making module analyzes the difference between the approval time and the approval time limit to dispatch personnel for each flow and supervise the approval process, and when the personnel receives the flow with the approval time limit or the approval time limit is about to reach the approval time limit, the personnel is prompted to accelerate the approval speed in a message prompting mode. The visualization module is used for providing a visual interface for each flow initiator to display flow approval dynamics.
The data acquisition module comprises a flow information acquisition unit and a personnel information acquisition unit.
The process information acquisition unit is used for acquiring the emergency level, the process state and the approval node information of the process, wherein the process state comprises to-be-dispatched and dispatched, the approval node refers to a specific step which needs to be approved in one process, and the approval node information refers to the approval type, the quasi-approval personnel, the real-approval personnel and the real-approval duration of each approval node.
The personnel information acquisition unit is used for acquiring an identifier, a personnel state, an assigned personnel, a terminal type and an approval log of the personnel. The identifier is used for distinguishing different personnel, the personnel state comprises free and busy, the terminal type comprises a computer terminal and a mobile terminal, the approval log refers to historical approval records of the personnel, and each historical approval record comprises the terminal type, the approval type and the approval duration.
The data analysis module comprises a flow time limit calculation unit and a personnel record analysis unit.
The flow time limit calculating unit is used for calculating approval time limit of the flow to be allocated and node time limit of each approval node. Setting different basic time limits for different approval types, dividing the emergency level of the flow to be allocated by the minimum emergency level, multiplying the minimum emergency level by the basic time limit corresponding to the approval type of each approval node under the flow to be allocated to obtain the node time limit of each approval node, and summing the node time limits of all approval nodes under the flow to obtain the approval time limit.
The personnel record analysis unit is used for dividing the assignment set and calculating the average approval duration. And establishing an assignment set for each person, putting the identifiers of the person and the identifiers of all the assigned persons corresponding to the person into the corresponding assignment set, and merging the two assignment sets into one assignment set when the same identifiers exist in different assignment sets. Classifying all the historical approval records of each person according to the terminal type, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain an average approval duration.
The flow decision module comprises a dynamic dispatch unit and an intelligent sponsoring unit.
The dynamic dispatch unit is used for dispatching personnel for each flow. Firstly, acquiring an assigned set of identifiers of the to-be-examined personnel of the next examination node in each flow to be assigned, analyzing states of all personnel corresponding to the identifiers in the assigned set, and taking the personnel with the idle states as matching personnel. Secondly, acquiring a terminal type e of a matched person and an approval type n of an approval node in a flow to be dispatched, and searching to obtain an average approval duration with the terminal type e and the approval type nAnd calculating a matching index according to the average approval duration. And then, taking the matched person with the highest matching index as a preselected person of the flow to be dispatched, when the preselected persons of different flows to be dispatched have the same identifier, calculating the priority index of the flow to be dispatched, with the same identifier, of the preselected person, wherein the preselected person of the flow to be dispatched with the highest priority index is kept unchanged, and the preselected person is reselected from the other flows to be dispatched. And finally, when the preselection staff of different processes to be allocated do not have the same identifier, the preselection staff is used as a real-examination staff of the processes to be allocated, the information of the processes to be allocated is issued to the terminal equipment of the real-examination staff, the issuing time is recorded, the state of the processes is changed to be allocated, and the state of the real-examination staff is changed to be busy.
The intelligent prompting unit is used for supervising the approval process and prompting. The method comprises the steps of informing an approver of accelerating the approval speed in a message prompting mode, uploading flow information and recording uploading time after the approval of an actual inspector is finished, modifying the state of the actual inspector into idle state, subtracting the duration of the issuing time from the uploading time to be used as the actual approval duration, putting the actual inspector and the actual approval duration into corresponding approval node information of the flow, and storing the actual approval duration as the approval duration together with the terminal type and the approval type into an approval log of the actual inspector. Judging whether all approval nodes of each flow are approved or not, if so, ending the flow approval; and if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the dynamic allocation unit.
The visualization module is used for displaying the examination nodes currently stayed by the flow and the real-time examination personnel and the real-time examination duration on each examined node in real time in a visualization interface of the flow initiator.
Example 1: assuming that three processes to be dispatched are provided, namely A1, A2 and A3, when personnel are dispatched for a third approval node, the same identifiers exist for preselected personnel of the three processes, and approval time periods of A1, A2 and A3 are respectively 90min, 100min and 160min; the emergency level is respectively 6 level, 8 level and 8 level; the real examination duration and the node time limit of each examination node are respectively as follows:
A1：
node 1: the real examination time is 15min; node time limit is 20min; node 2: the real examination time is 10min; node time limit 15min.
A2：
Node 1: the real examination time is 15min; node time limit is 20min; node 2: the real examination duration is 25min; node time limit 15min.
A2：
Node 1: the real examination time is 30min; node time limit 25min; node 2: the real examination time is 20min; node time limit 20min.
Substituting the formula to calculate the delay total time of three processes to be allocated:
A1 delay total duration: ；
a2 total delay time: ；
A3 delay total duration: ；
when the emergency grade influence coefficient is 0.1 and the duration influence coefficient is 0.9, substituting the formula to calculate the priority indexes of three processes to be allocated:
A1 priority index:
A2 priority index:
A3 priority index: />
The A2 priority index is highest, the A2 preselected person remains unchanged, and A1 and A3 reselect the preselected person.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A data information intelligent supervision method based on multi-terminal fusion is characterized by comprising the following steps of: the method comprises the following steps:
s1, collecting all flow information to be allocated and personnel information in an OA system in real time;
S2, calculating approval time limit according to the flow information, and calculating approval time length by analyzing personnel information;
s3, matching corresponding personnel for each flow to be allocated, and supervising and prompting the batch examination process;
S4, displaying flow dynamic information in a visual interface of each flow initiator;
In S1, the flow information comprises an emergency level, a flow state and approval node information, wherein the flow state comprises to-be-dispatched and dispatched, and the approval node information refers to approval types, quasi-approval personnel, real-approval personnel and real-approval duration of each approval node; the personnel information comprises an identifier, personnel states, assigned personnel, terminal types and approval logs, wherein the personnel states comprise idle and busy states, the terminal types comprise a computer terminal and a mobile terminal, the approval logs refer to historical approval records of personnel, and each historical approval record comprises a terminal type, an approval type and an approval duration;
In S2, the specific steps are as follows:
S201, obtaining all emergency grades of flows to be dispatched, and approval types of all approval nodes under the flows to be dispatched, setting different basic time limits according to different approval types, substituting the emergency grades of the flows into a formula to calculate the node time limit of each approval node, summing the node time limits of all the approval nodes under the flows to obtain an approval time limit T, and corresponding one approval time limit to each flow to be dispatched, wherein the calculation formula is as follows:
；
In the method, in the process of the invention, For/>Basic time limit corresponding to approval type of individual approval node,/>For the number of approval nodes of the flow,/>Is the emergency level of the process;
S202, each person establishes an assignment set, the identifiers of the person and the identifiers of all assigned persons corresponding to the person are put into the corresponding assignment set, whether the same identifiers exist in different assignment sets or not is judged, the two corresponding assignment sets are combined into one assignment set if the same identifiers exist, the combination is continuously judged until the situation that the same identifiers do not exist in each assignment set and the other assignment sets is judged, and the combination is ended;
S203, acquiring an approval log of each person, classifying all the historical approval records according to the terminal type, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain average approval durations, wherein the number of the average approval durations is the product of the number of the terminal types and the number of the approval types;
In S3, the specific steps are as follows:
s301, establishing a matching set for each flow to be allocated, acquiring identifiers of the to-be-examined personnel of the next examination and approval node in each flow to be allocated, searching an assigned set where the identifiers are located, analyzing the states of all the personnel corresponding to the identifiers in the assigned set, and putting the identifiers with the states of idle personnel into the corresponding matching set;
S302, analyzing an approval type n of a next approval node of a flow to be dispatched and a terminal type e of a person corresponding to each identifier in a matching set, and acquiring average approval duration of the person in the same approval type as the next approval node under the terminal type And node time limit/>, of next approval node of flow to be dispatchedSubstituting the index into a formula to calculate the matching index/>, of each identifier in the matching setThe formula is as follows:
；
S303, taking the person corresponding to the identifier with the highest matching index in each matching set as a preselected person of the flow to be dispatched, judging whether the preselected persons of different flows to be dispatched have the same identifier, and taking the preselected person as an actual examination person of the flow to be dispatched if the preselected persons do not have the same identifier, and entering the step S305; if yes, entering S304;
S304, marking the flows to be dispatched, with the same identifier, of the preselect personnel, substituting the approval time limit and the emergency level of each marking flow, and the node time limit and the real examination time length of the approved nodes into a formula, and calculating the priority index of each marking flow, wherein the formula is as follows:
；
；
In the method, in the process of the invention, To delay the total duration,/>For the number of examined nodes,/>For/>Real examination duration of individual examination nodes,/>For/>Node time limit of individual approval node,/>Is a priority index,/>For emergency level influence coefficient,/>The duration influence coefficient; the preselection personnel of the marking process with the highest priority index remain unchanged, the preselection personnel of other marking processes and the identifier with the highest matching index in the corresponding matching set are deleted, and the step S303 is re-entered after the marks of all processes are cancelled;
S305, issuing information of a flow to be allocated to terminal equipment of an actual inspector, recording issuing time, modifying the state of the flow to be allocated, modifying the state of the actual inspector to be busy, supervising the approval process and prompting, wherein prompting means that the approval personnel are informed to accelerate the approval speed in a message prompting mode, and comprises prompting the process and prompting the result; the process promotion refers to promoting the whole approval process when the delay total time is longer than zero; the result promotion means that the approval process is promoted when the h times of the node time limit of the approval node is reached;
s306, uploading flow information and recording uploading time after the approval of the real inspector is completed, modifying the state of the real inspector into idle state, subtracting the time length of the issuing time from the uploading time as real-time length, putting the real inspector and the real-time length into corresponding approval node information of the flow, and storing the real-time length as approval time length together with the terminal type and the approval type into an approval log of the real inspector; judging the number of the examined nodes under each flow Whether or not equal to the number of approval nodes/>If the flow is equal to the first set of parameters, ending the flow approval; if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the step S301.
2. The intelligent data information supervision method based on multi-terminal fusion according to claim 1, wherein the method comprises the following steps: the flow information is displayed in real time in a visual interface of a flow initiator, and the visual interface displays the currently-stayed examination nodes of the flow through images, and displays the actual examination personnel and the actual examination duration on each examined node through characters.
3. The utility model provides a data information intelligent supervision system based on multiport fuses which characterized in that: the system comprises a data acquisition module, a data analysis module, a flow decision module and a visualization module;
The data acquisition module is used for acquiring all flow information and personnel information; the data analysis module is used for analyzing the flow information and the personnel information, calculating the approval time limit according to the emergency level of the flow and the time limit requirement corresponding to each approval node type, and calculating the approval time length according to the approval log of the personnel; the flow decision-making module analyzes the difference between the approval time and the approval time limit to dispatch personnel for each flow and supervise the approval process, and when the personnel receives the flow with the approval time limit or the approval time limit is about to reach the approval time limit, the personnel is prompted to accelerate the approval speed in a message prompting mode; the visualization module is used for providing a visualization interface for each flow initiator to display flow approval dynamics;
The data acquisition module comprises a flow information acquisition unit and a personnel information acquisition unit;
The flow information acquisition unit is used for acquiring the emergency level, the flow state and the approval node information of the flow, wherein the flow state comprises to-be-dispatched and dispatched, the approval node refers to the step of approval in one flow, and the approval node information refers to the approval type, the quasi-inspector, the real-inspector and the real-time length of each approval node;
the personnel information acquisition unit is used for acquiring an identifier, a personnel state, assigned personnel, terminal types and approval logs of personnel, wherein the identifier is used for distinguishing different personnel, the personnel state comprises free and busy, the terminal types comprise a computer terminal and a mobile terminal, the approval logs refer to historical approval records of the personnel, and each historical approval record comprises a terminal type, an approval type and an approval duration;
The data analysis module comprises a flow time limit calculation unit and a personnel record analysis unit;
The flow time limit calculating unit is used for calculating approval time limit of the flow to be allocated and node time limit of each approval node; setting different basic time limits for different approval types, dividing the emergency level of the flow to be allocated by the minimum emergency level, multiplying the minimum emergency level by the basic time limit corresponding to the approval type of each approval node under the flow to be allocated to obtain the node time limit of each approval node, and summing the node time limits of all approval nodes under the flow to obtain the approval time limit;
The personnel record analysis unit is used for dividing the assignment set and calculating the average approval duration; establishing an assignment set for each person, putting the identifiers of the person and the identifiers of all the assigned persons corresponding to the person into the corresponding assignment set, and merging the two assignment sets into one assignment set when the same identifiers exist in different assignment sets; classifying all the historical approval records of each person according to the terminal type, summing the approval durations of all the historical approval records of the same terminal type and the same approval type, and calculating an average value to obtain an average approval duration;
The flow decision module comprises a dynamic dispatch unit and an intelligent sponsorship unit;
The dynamic dispatch unit is used for dispatching personnel for each flow; firstly, acquiring an assigned set of identifiers of to-be-examined persons of a next examination node in each flow to be assigned, analyzing states of persons corresponding to all identifiers in the assigned set, and taking persons with idle states as matching persons; secondly, acquiring a terminal type e of a matched person and an approval type n of an approval node in a flow to be dispatched, and searching to obtain an average approval duration with the terminal type e and the approval type n Calculating a matching index according to the average approval duration; then, taking the matched person with the highest matching index as a preselected person of the flow to be dispatched, when the preselected persons of different flows to be dispatched have the same identifier, calculating the priority index of the flow to be dispatched, with the same identifier, of the preselected person, wherein the preselected person of the flow to be dispatched with the highest priority index is kept unchanged, and the preselected person of the other flows to be dispatched is reselected; finally, when the preselection staff of different processes to be allocated do not have the same identifier, the preselection staff is used as a real-examination staff of the processes to be allocated, the information of the processes to be allocated is issued to the terminal equipment of the real-examination staff, the issuing time is recorded, the state of the processes is changed to be allocated, and the state of the real-examination staff is changed to be busy;
The intelligent prompting unit is used for supervising the approval process and prompting; informing an approver to accelerate the approval speed in a message prompting mode, uploading flow information and recording uploading time after the approval of the actual inspector is finished, modifying the state of the actual inspector to be idle, subtracting the duration of the issuing time from the uploading time as the actual approval duration, putting the actual inspector and the actual approval duration into corresponding approval node information of the flow, and storing the actual approval duration as the approval duration and the terminal type and the approval type into an approval log of the actual inspector; judging whether all approval nodes of each flow are approved or not, if so, ending the flow approval; and if not, deleting the matched set of the flow, modifying the state of the flow to be allocated and re-entering the dynamic allocation unit.
4. The intelligent data information monitoring system based on multi-terminal fusion according to claim 3, wherein: the visualization module is used for displaying the examination nodes currently stayed by the flow and the real-time examination personnel and the real-time examination duration on each examined node in real time in a visualization interface of the flow initiator.
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