CN112241840A - Empty management process management method and system - Google Patents

Empty management process management method and system Download PDF

Info

Publication number
CN112241840A
CN112241840A CN202011108744.7A CN202011108744A CN112241840A CN 112241840 A CN112241840 A CN 112241840A CN 202011108744 A CN202011108744 A CN 202011108744A CN 112241840 A CN112241840 A CN 112241840A
Authority
CN
China
Prior art keywords
management
air traffic
algorithm
traffic control
flow
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011108744.7A
Other languages
Chinese (zh)
Inventor
孙元
叶健菁
吴昉盛
杨海平
潘鲸玮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
EASTERN CHINA AIR TRAFFIC MANAGEMENT BUREAU CAAC
Original Assignee
EASTERN CHINA AIR TRAFFIC MANAGEMENT BUREAU CAAC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by EASTERN CHINA AIR TRAFFIC MANAGEMENT BUREAU CAAC filed Critical EASTERN CHINA AIR TRAFFIC MANAGEMENT BUREAU CAAC
Priority to CN202011108744.7A priority Critical patent/CN112241840A/en
Publication of CN112241840A publication Critical patent/CN112241840A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an air traffic control flow management method and system, and belongs to the technical field of air traffic management. Aiming at the problems that organization management is carried out in a traditional function management mode in the prior art, the internal cooperation efficiency of an organization is reduced, the external service quality of the organization is influenced, and the perception chain of the organization to the business situation is not developed, the invention provides an air traffic control process management method and system, the innovation of a management mode is realized in a digitalized mode of process management, a future air traffic control three-level process frame is produced, and the application of process monitoring, process creation, process KPI and the like is realized by using algorithms such as air traffic control process energy efficiency evaluation and the like, wherein the process monitoring is used for monitoring the running condition of all air traffic control service processes, and the process creation creates a process in a modularized, visualized and/or drag-linked operation mode; the process KPI is used for analyzing the efficiency of the calculation process and counting the resource consumption required by the completion process, thereby improving the management efficiency and the management quality.

Description

Empty management process management method and system
Technical Field
The invention relates to the technical field of air traffic management, in particular to an air traffic management process management method and system.
Background
In the current operation process of the eastern China air administration, the organization and management are carried out in the traditional mode of function management, and each department carries out work within the specified function and responsibility range. The professional management effectively develops and uses skills by classifying and combining the business activities closely related to the professional skills into one unit, and the efficiency of single work is improved. However, the following problems are also raised: the method is characterized in that departments are not related to each other, the linkage of department work and overall work is poor, the decision is made from the perspective of the departments, the planned implementation result is not always the optimal decision of the whole body, the communication efficiency of the inside and the outside of the organization is low, and the information transmission path is long.
The existing air traffic control system is confronted with the increasingly prominent contradiction between the management mode and the performance benefit, the mediation of the business needs to be operated cooperatively among all departments, but communication sometimes becomes an obstacle due to the long-term local idea of all the departments, the business can not be operated smoothly naturally, a plurality of problems such as a data chimney and an information island are generated, information systems which only meet the self requirements are respectively established, and the situation that people want to be urgent is avoided. More importantly, the traditional function management mode has low management efficiency and poor management effect.
The Chinese patent application for a natural language processing method-based air traffic management system risk analysis method, application number 202010164147.X, proposes a natural language processing method-based air traffic management system risk analysis method which has reasonable concept and simple process, can provide reliable analysis basis for safety management of air control offices in various regions, and makes up the blank of the automatic classification method of the domestic aviation safety management risk sources. For example, the chinese patent with application number 201710678043.9 applies for a method for implementing inbound flight sequencing, by combining with the actual control flow of the control unit, the influence factors and various constraint conditions in the flight inbound management process are comprehensively analyzed, and various data sets are defined; and an intelligent sequencing technology is applied to establish an inbound flight algorithm model, and an optimal sequencing sequence is realized by utilizing a computer technology. However, the management method of the above patent only aims at specific situations or specific management requirements, and does not improve the overall internal management mode of the enterprise, and from the viewpoint of the overall working scene of empty management, the disadvantages of the traditional functional management are not improved.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems that the traditional function management mode in the prior art is used for organization management, the internal cooperation efficiency of an organization is reduced, the external service quality of the organization is influenced, the perception chain of the organization to the service situation is not developed, and the like, the invention provides an air traffic management process management method and system.
2. Technical scheme
The purpose of the invention is realized by the following technical scheme.
The air traffic control process management method comprises the steps of driving business operation by using a process, realizing management of business execution by managing the process, wherein the process management comprises process monitoring, process creation and process KPI (key performance indicator), wherein the process monitoring is used for monitoring the operation conditions of all air traffic control service processes, and the process creation builds a creation process in a modularized, visual and/or drag-link operation mode; the process KPI is used for analyzing the efficiency of the calculation process and counting the resource consumption required by the completion process.
Furthermore, the process KPI uses a competition algorithm to calculate the input in the execution process of the air pipe process, and combines an energy efficiency evaluation algorithm to evaluate and calculate the process energy efficiency output by the air pipe.
Further, the competition layer calculation formula of the competition algorithm is h (x) -e-r2(x-c)2In the formula, e, r and c are the adjusting constants of the competition algorithm, the adjusting constants are natural numbers larger than zero, and x is the input of the competition algorithm.
Further, the energy efficiency evaluation calculation formula is On + Y1+ Y2+ Y3+ Z, where P represents an energy efficiency evaluation value, Y1, Y2 and Y3 respectively represent parameters of people, property and material resources consumed in executing the process, Z represents a time parameter required for executing the process, and On represents the sum of O1 to Oi output after competition by the competition algorithm. The flow energy efficiency evaluation output by the flow KPI calculation module comprehensively reflects the efficiency and cost of flow execution, and can provide digital quantized reference for users when doing flow planning work or flow improvement work.
Furthermore, the flow creation uses an A star way finding algorithm.
Furthermore, when the A star path finding algorithm is applied, a model is established first, and an area is established; and then calculating path quantity values, wherein the path quantity values comprise a path G from the starting point to the current position and a path H from the current position to the target point, the path G and the path H are added to obtain a path sum value F, and in a module meeting the adding condition, selecting a point corresponding to the minimum value of the path F to create a process. And when the process management system is applied, the process creation module is called, and has the characteristics of visualization, modularization and draggable operation. The method provides intelligent flow node link automatic association help for the user through the bottom layer A star routing algorithm, and enables the user to conveniently build a flow node relation when the user handles the flow construction of the cross-functional department.
Furthermore, the flow monitoring uses a fitting algorithm to compare the flow frame of the air traffic control bureau with the flow execution data obtained from the data lake in real time, and monitors the execution condition of the flow. The flow monitoring improves the perception capability of the user on the flow operation, and perceives whether the flow smoothly operates in the flow frame boundary to which the flow belongs.
The method takes an empty pipe process framework and a process data stream acquired from a data lake of an empty pipe bureau as data resources, takes a fitting algorithm, an empty pipe process energy efficiency evaluation algorithm and an A star path finding algorithm as core algorithm layers, and provides three core functions of process monitoring, process creation and process KPI calculation for users.
When the process is managed, the data layer acquires data through each level of process of a process management framework, the algorithm layer calculates the acquired data, and the application layer executes the calculation result of the algorithm layer; the application layer comprises process monitoring, process creation and process KPI; the algorithm layer comprises a fitting algorithm module, an air traffic control flow energy efficiency evaluation module and an artificial intelligence module; the data layer includes a process framework and steps and dynamic process execution data.
Furthermore, an air traffic control bureau process frame of the data layer is built by using a five-level architecture diagram of an APQC method, and an air traffic control three-level process frame is built, wherein the first-level process comprises a production operation process and a control support process. The five-level architecture is respectively a value chain, a process chain, a flow chart, task steps and operation scripts from the first level to the fifth level, the first level and the second level are process frameworks of a process management hollow pipe business domain, and the fourth level and the fifth level are specific operation levels in process management.
Furthermore, the dynamic flow execution data of the data layer comprises an empty pipe digital transformation maturity model. And applying each input item of the air traffic control digital transformation maturity model to a competition algorithm to evaluate the energy efficiency of the process.
The invention realizes the management of the service execution through the management process and endows the management layer with new situation perception capability. The flow management is used under the guidance of an organization strategy, and the actions and links in the flow are closely connected, communicated, organically combined or integrated according to the principles of continuity, smoothness and simplicity of the flow by taking an advanced information technology as a means, so that the flow is quicker and more efficient.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
(1) and comparing and analyzing the empty pipe process frame and the steps thereof with the empty pipe process execution data by using a fitting algorithm, thereby realizing the process monitoring function.
(2) An artificial intelligence A star path finding algorithm is used for establishing intelligent association and intelligent prompt for the link of the process nodes under a modularized and visual operation interface, so that the convenient and quick process creation function is realized, and the method has a great help effect on the process creation of the cross-functional department. Because many aspects are often considered in the process establishment of the cross-functional department, the unsmooth process is often caused due to the unfamiliarity with the conditions of the functional departments participating in the process. With the help of the functional AI algorithm, the algorithm can automatically associate the cross-department flow nodes, establish effective links and quickly and conveniently establish the flow.
(3) And performing energy efficiency evaluation on the flow by using an air traffic control flow energy efficiency evaluation algorithm and taking the innovative air traffic control digital transformation maturity model, the human and property resource condition invested for completing the flow and the time for completing the flow as input. The evaluation result can reveal the improvement point of the process, and can provide necessary reference for the process improvement.
(4) When the process framework is constructed, the process framework is continuously optimized, the existing process is written and recorded, the existing process is improved and reconstructed, and a new process is designed. A set of process management system is formed, from 'process planning' (a first, a second and a third level frameworks) 'process writing' (process transformation or reconstruction) 'process operation monitoring'. The flow planning and the flow writing form a flow combing work together, and the value of improving the service operation and keeping the service lead is provided for the organization. And the process monitors the work and provides the value of a growth perception chain for the organization.
(5) And constructing and optimizing a flow management system based on digitization and constructing an adaptive system. An information system is established which is matched with service management by using an informatization means and establishing an adaptive system. Only a proper system can promote the organic combination of the process and the information system, realize the automatic control of the service, reduce or eliminate the influence of manual operation, and realize the process-driven service development by combining a digital means.
Drawings
FIG. 1 is a schematic diagram illustrating a management process in function management in the prior art;
FIG. 2 is a schematic view of the management process in the process management of the present invention;
FIG. 3 is a five-level architecture diagram of the APQC method used in carding process frames according to the present invention;
FIG. 4 is a second level flow in the empty pipe flow production operation flow framework of the present invention;
FIG. 5 is a diagram illustrating a second-level flow in the flow framework for managing and supporting the empty pipe flow according to the present invention;
FIG. 6 is a model of the empty pipe digitalized transformation maturity of the present invention;
FIG. 7 is a flow management application architecture diagram of the present invention;
fig. 8 is a schematic diagram of a competition algorithm of the process management algorithm layer of the present invention.
Detailed Description
The invention is described in detail below with reference to the drawings and specific examples.
Example 1
As shown in fig. 1, the feature of conventional functional management is that business is driven by departments. The method uses the tactics that work duty is bound with departments and people, and the departments stare at the departments and people stare at the people in management. The efficiency of service execution is critically dependent on one or more sessions. The function management has the insights of self-carrying, and is the product of the historical stage, and the management mode can gradually not keep pace with the development of the era.
Different from the function management, the process management drives the service to run by using the process, realizes the management of the service execution by managing the process and endows a new situation perception capability to a management layer. The process management means that under the guidance of an organization strategy, each activity and link in the process are closely connected, communicated, organically combined or integrated according to the principles of continuity, smoothness and simplicity of the process by taking an advanced information technology as a means, so that the process is quicker and more efficient.
Fig. 2 is a schematic view of process management, which connects the stations for processing equipment failure in series at the top layer through processes such as flight planning to receive payment, equipment failure to settlement, investment planning to operation, and the like. During process management, taking the process from equipment failure to settlement as an example, the monitoring post receives information of the equipment failure, sends the information out and starts the maintenance work of the next step, the maintenance post of the equipment service department directly processes the failure, and the settlement post records the recovery of the failure after the failure is processed. The information of the generation and the consumption of the fault is stored in the central monitoring system, and the detailed maintenance process of the fault is stored in a database of an equipment service department. The data statistics department, the asset management department and the personnel management department directly acquire the information required by the data statistics department, the asset management department and the personnel management department from the previous systems.
The equipment is not closed in the equipment management department from the fault occurrence to the processing settlement. The equipment service department undertakes maintenance and replacement work. The whole event perception chain is clear inside the whole unit, and the information flow is accurately guided to the required place. The process driving business is realized, and the management of large departments is realized.
The starting work of the process management is to comb the process frame of the organization, and the process frame can show the work contained in the business operation and management process of the organization in a structured and graphical mode. In this embodiment, the business process in the process framework implements a series of working steps with the purpose of serving clients and completing business. The combing of the process frame is the same as a foundation during building, and is very important for the development of later-stage projects, the combing of the frame enables a use organization to be capable of matching the component requirements of a new-generation air traffic control capability model in the future, and the process needs to meet the requirements of compliance management and the basic process of the functional responsibility of the organization and also relates to the process of meeting the requirements of future development and optimization, such as cross-department fields, responsibility cross parts and the like.
In this embodiment, a flow five-level architecture of the APQC method is selected in the flow frame combing, where the five-level architecture is, as shown in fig. 3, a value chain, a flow chart, task steps, and an operation script from the first level to the fifth level, the first and second levels are flow frames of the flow management hollow pipe business domain, and the fourth level and the fifth level are specific operation levels in the flow management. Specifically, the first level value chain is the highest level flow chart of the whole organization, each parameter in the value chain represents a flow chain, and the flow chain refers to a flow group which is connected together and used for executing the content of the first level value chain. The second level flow chain includes a flow chain diagram, which is an decomposition of the flow chain, and each block represents a flow group constituting the flow chain, and each flow group includes a series of flows. The third level of the flow chart is a decomposition of a flow, and each block represents a series of tasks constituting the flow. The fourth level of task steps is a description of the steps required to complete the task, and the task step documentation should have sufficient detail to guide the configuration and development of the system. And the fifth-level operation script explains the business operation action and the system operation action contained in the operation step in the fourth-level task step document so as to guide a user to finish the operation step.
The flow framework of the embodiment is also constructed by combining an empty pipe future operation architecture. The operation management integrates monitoring, coordination and planning, and in order to fulfill the function of operation management, the flow management is integrated into the operation management in the process framework combing. Similarly, the air administration has the dispersion of cooperative functions in the aspects of military and aviation department at the present stage, the military cooperative seats and the commercial transportation aviation cooperative seats are set in consideration of the cooperative functions in the operation management, and the secondary flow operation cooperation is added under the operation management to load the cooperative work functions.
Flow frame combing comprises three stages. The first stage, through the status quo writing of the business of 25 departments, collect 512 written flows altogether; in the second stage, the process realistic writing document is supplemented by combining a quality management system, and 222 process realistic writing names are supplemented in total; in the third stage, a first-level flow, a second-level flow and a third-level flow are combed from top to bottom and from bottom to top, and repeated iteration is carried out, so that a first-level flow, a second-level flow and a third-level flow framework of the air traffic bureau are finally formed, wherein the flow framework comprises 15 first-level flows, 85 second-level flows and 527 third-level flows.
The first-level flow mainly comprises a production operation flow and a control support flow, as shown in fig. 4, the first-level flow in a production operation flow framework comprises airspace management, flight plan, operation management, information service, control service, meteorological service and equipment service, the second-level flow corresponding to the first-level flow is shown in fig. 4, and the airspace management comprises airspace planning, airspace implementation and airspace assessment; the airplane plan comprises flight plan processing, flight dynamic information processing and daily operation management; the operation management comprises flow management, operation coordination, operation guarantee, operation statistics release and daily operation management; the intelligence service comprises aviation resource management, navigation announcement processing, aviation condition service and daily operation management; the control service comprises basic control service, conventional time drive and daily operation management; the weather service comprises basic weather service, specific weather service, conventional event drive and daily operation management; the equipment service comprises equipment operation and maintenance, fixed inspection, maintenance management, updating and reconstruction, on-off and off-off management, metrological verification, spare part management and daily operation management.
As shown in fig. 5, the first-level processes in the management and control support process framework include administrative logistics, strategic development, human resources, financial management, security management, investment projects, party and broker groups, and network trust management. The second-level process corresponding to the first-level process is shown in fig. 5, and the administrative logistics includes administrative management, logistics management, archive management and daily management; strategic development comprises strategic planning, scientific and technological management, management of operational assets, service statistics and release, management of a quality management system and daily management; the human resources comprise organization management, recruitment management, personnel management, salary management, performance management, cadre management, patent qualification, training management and daily management; the financial management comprises financial basic data maintenance, budget management, fund management, expense management, accounting due to charge, accounting due to payment, daily management, asset accounting, cost management, tax management, general ledger report, internal control, internal audit and government procurement management; safety management comprises safety planning, safety execution, emergency management, supervision and evaluation, safety improvement and daily management; investment projects include investment planning, investment execution, investment monitoring, acceptance evaluation, asset transfer, asset disposition and daily management; the party broker group comprises party handling, broker inspection and supervision, a workshop, group committee and daily management; the network letter management comprises network letter construction, network letter operation and daily management.
Under the framework of the two-level, two-level and three-level processes which are finished by combing, according to each project in the planning implementation path, each node of the processes is gradually dredged through the four-level and five-level process writing, unnecessary and repeated steps are simplified, and the organization can be matched with a new generation of empty pipe capability model assemblies in the future. In the conversion process, each department manages the functional responsibilities of each department and the corresponding flows by taking the functional management as the comprehensive management mode of the main junction flow management, the functional responsibilities of the departments are gradually adjusted, and the organization structure is optimized.
The aim of the embodiment is to realize the forward circulation of the process management and obtain the capability of continuously improving and reconstructing the process. Starting from the service requirement, the specific flow is analyzed and implemented into daily execution, and then the flow is continuously optimized or reproduced through monitoring and evaluation of the flow, so that a long-acting mechanism for flow management is formed. The eastern China air administration introduces a digitization technology to merge a quality management system and a service process, and realizes the digitization of process management through quality management mapping. The specific method of digitization comprises:
step 1: identifying an improvement point:
the method comprises the steps that materials are obtained according to process writing, current situation analysis and a brainstorming scene card, and the materials from three sources are collected, integrated and deduplicated according to four aspects of an informationization opportunity point, a data obtaining opportunity point, a data processing opportunity point and a data issuing opportunity point. And associating the acquired materials with the capacity component of the empty pipe capacity model. And simultaneously, according to the improvement point, the energy model is perfected.
Step 2: converting and designing scenes:
firstly, listing a scene list, and compiling a scene card according to the scene list. And classifying and naming according to the service under the primary process, wherein the named scene is a generic scene. The flooding scene is classified into a scene, a scene set, and a scene cluster. And simultaneously attributing the pan scene and the scene set to the scene group. And completing scene set and scene description under the scene cluster and supplementing the scene cluster. And finally compiling a scene/scene set/scene group card.
And step 3: compiling an item list:
and compiling a project list and a card for the scene/scene set/scene group according to the relevance and the service and technology dependence. The project card corresponds to the transformation measures provided by the digital transformation framework, and the transformation measures support projects. The compiling mode of the project list and the cards is based on system architecture planning.
And 4, step 4: planning an implementation path:
and (4) a project implementation path, wherein a project implementation propulsion plan is formulated according to project benefits and coverage, and a general project implementation route map is determined.
In the digital implementation process, the policy information issued by the domestic aviation management institution is collected in real time through an automatic network monitoring technology, the content of the change of the existing regulation and control system is extracted, and whether the conditions that the corresponding change is not made along with the path and the step in the existing business process exist or not is checked. The real-time condition of service operation is obtained through an entity sensor arranged on service equipment (machinery) or an information interface led from a service operation system, and the data flow interruption caused by non-compliant operation or system bug during service operation is monitored and found.
The digital process management application architecture comprises an application layer, an algorithm layer and a data layer, wherein during process management, the data layer acquires data through each stage of processes of a process management framework, the algorithm layer calculates the acquired data, and the application layer executes calculation results of the algorithm layer. As shown in fig. 7, the application layer includes a process monitor, a process creation and a process KPI, wherein the process monitor is used for monitoring the operation status of all air traffic control service processes of the unit, and the process creation builds a creation process in a very simple operation mode of modularization, visualization and dragging link; the process KPI is used for analyzing the efficiency of the calculation process and counting the resource consumption required by the completion process.
The algorithm layer comprises a fitting algorithm module, an empty pipe process energy efficiency evaluation module and an artificial intelligence module, wherein the fitting algorithm module uses a curve fitting algorithm and is used for fitting and comparing a future-oriented empty pipe process framework of east China empty pipe innovation in the data layer with dynamically obtained process execution data to serve a process monitoring function; the air traffic control flow energy efficiency evaluation module uses an air traffic control digital transformation maturity model shown in fig. 6, and calculates and evaluates the efficiency value of the flow by combining the resource investment of human and property and the flow completion time to serve the KPI function of the flow; the artificial intelligence module provides intelligent association and intelligent prompt services for the process creation function by using an A star path finding algorithm.
The data layer comprises a process framework and steps and dynamic process execution data, wherein the process framework and steps comprise an empty management process framework shown in fig. 4 and 5 and can be used as basic data for process improvement and even process creation; the dynamic flow execution data comprises a service data flow dynamically connected from the empty bureau data lake for obtaining the flow execution condition.
When the artificial intelligence module of the algorithm layer uses the A star path finding algorithm, a model is established firstly. The first step of routing is to simplify the area of the original problem into a search area that is easy to control. Dividing a search area into ' pixel points ' (pixels) ', wherein the size of the pixel points depends on the needs of specific problems; the shape of the pixel point is selected from a square, and the square is the simplest region and conforms to the shape. The search area is then represented by a two-dimensional array of map size, e.g., a two-dimensional array of 625 squares in a 25 x 25 square-sized map.
Then calculating a path quantity value, and by giving a sum value called a path quantity value to each square, each square has a sum value of G + H, which is marked as F sum value, wherein G is the movement amount from the starting point A to the current square, and all the movement amounts from the starting point A to the adjacent small square are 1, and the value increases with increasing distance from the starting point; h is an estimate of the amount of movement from the current square to the target point (referred to as point B).
The square is added to the open list, which has the minimum sum value. The added box is called S, S is removed from the open list and S is then added to the closed list. For each block T that is adjacent to block S that is accessible: if T is in the closed list, then the decision is to ignore; if T is not in the open list, adding it and then calculating its sum; if T is already in the open list, when there is a path to use the current generation, it is checked whether the F sum is smaller. If so, its sum and its predecessors are updated.
The air traffic control flow energy efficiency evaluation algorithm takes an air traffic control digital transformation maturity model as main input, human and property resources consumed by the execution flow and time required by the execution flow as auxiliary input, a set of algorithm is created, and the energy efficiency evaluation of the flow is obtained through output.
The empty pipe digital transformation maturity model is a multidimensional input, and is shown as an empty pipe digital transformation maturity model in fig. 6: the situation perception in FIG. 6 is input item X1, corresponding to three levels of input, a, b, c, respectively, at the planning level, the management level, and the execution level; the situation awareness planning layer comprises situation awareness demand analysis, situation system planning, situation analysis and report planning and cross-organization interoperability planning. The management layer belongs to an operation module of process management, the management layer carries out management operation on specific contents of each input item, and the situation-aware management layer comprises situation system management, cross-organization interoperability management and situation management. The execution layer belongs to an execution module of process management, the execution layer carries out specific operation on the management result of the input item in the management layer, and the situation-aware execution layer comprises situation-aware operation and reaction coordination. From the planning layer, the management layer to the execution layer, according to the principle of continuity, smoothness and simplicity of the process, the activities and links in the process are closely connected, communicated, organically combined or integrated, so that the process is quicker and more efficient.
In fig. 6, professional classification entries X2 having air traffic management, airspace management, information management, and weather management as processes correspond to three-level inputs a, b, and c in the planning level, the management level, and the execution level, respectively. The planning layer of the air traffic management comprises traffic control service planning, pre-flight/flight service planning, terminal operation strategy planning and emergency operation strategy planning, the management layer comprises traffic control management, pre-flight/flight service management, terminal operation management and emergency operation management, and the execution layer comprises traffic control service delivery, pre-flight/flight service delivery, terminal operation service delivery and emergency operation service delivery. The planning layer of airspace management comprises flow and capacity planning, national airspace management planning, flow and capacity performance measurement, airspace system composition planning and traffic system operation analysis and management, the management layer comprises air route design, implementation management, airspace system composition cooperation and traffic system operation analysis and management, and the execution layer comprises air traffic network modeling and design, new route deployment and traffic system operation analysis. The planning layer of information management comprises aviation information service planning, the management layer comprises aviation information service management and aviation information service management, and the execution layer comprises raw data bureau collection and aviation information product delivery. The plan layer of the weather management comprises weather service planning, weather construction analysis, weather efficiency evaluation and weather scientific research planning, the management layer comprises weather service management and weather service management, and the execution layer comprises weather forecast, weather observation, weather service quality evaluation and weather research and innovation.
The security management, infrastructure, market insights, technical development, functional management and party broker groups in fig. 6 correspond to separate input items X3 and X4 … X8 respectively, and correspond to three levels of input, a, b and c, at a planning level, a management level and an execution level. The planning layer of the safety management comprises safety regulation planning, safety standard and rating development, safety risk management planning and compliance method planning, the management layer comprises safety regulation management, compliance management and policy change management, and the execution layer comprises safety risk identification and compliance management execution. The planning layer of the infrastructure comprises infrastructure planning, design and engineering planning, system implementation planning, operation and maintenance system implementation planning and infrastructure operation analysis and management, the management layer comprises demand forecasting and modeling and infrastructure operation analysis and management, and the execution layer comprises infrastructure engineering, infrastructure delivery and infrastructure operation and maintenance. The execution layer of the market insight comprises business prospect prediction and modeling, market division, market and brand planning and operation alliance planning, the management layer comprises market/industry vitality monitoring, market and brand management, assistance strategy alliance, achievement tracking and industry alliance management, and the execution layer comprises execution of economy and market research, evaluation of brand consciousness and marketing combination. The planning layer of the technology development comprises innovation enabling planning, research planning and development planning, the management layer comprises research schedule management, innovation use tracking and development monitoring, and the execution layer comprises technology scanning, innovation cooperation management, research project management and new technology development. The planning layer of the function management comprises business planning, transformation planning, human resource planning, budget and financial planning, asset planning, IT planning and organization architecture planning, the management layer comprises project and business value management, transformation management, human resource monitoring, financial combination management, asset combination management, organization architecture management and IT management, and the execution layer comprises business operation/project delivery, transformation delivery, human resource management, financial accounting, asset management and organization architecture management. The plan layer of the party and work group comprises a party building plan, a group building plan, a checking plan and a work development plan, the management layer comprises party member management and supervision, group member management and supervision and work member management, and the execution layer comprises policy interpretation, legal practice and discipline, supervision accountability, work publicity and employee service.
As shown in the schematic diagram of the competition algorithm in fig. 8, the 8 inputs from X1 to X8 are subjected to competition by the competition algorithm to obtain the numbers O1 to Oi, and On, where i is an integer greater than 1. The operation formula of the competition layer of the competition algorithm is h (x) e-r2(x-c)2In the formula, e, r and c are regulation constants of the competition algorithm, the regulation constant is a natural number between 1 and 10, X is input of the competition algorithm, namely eight-term input X1 to Xn of the digital transformation maturity model in the example, and n is less than or equal to 8. The principle of the competitive operation is a certain scalar function which is symmetrical along the radial direction, which is generally defined as a monotonic function of Euclidean distance from a certain point to another central point in the space, and if the certain point is far away from the central point, the value of the function is very small.
The energy efficiency evaluation algorithm module for the air traffic control process further comprises human and property resources consumed by the execution process and time required by the execution process, wherein the human and property resources consumed by the execution process are input into Y1, Y2 and Y3 respectively according to a preset section. The input personnel work hour Y1 is divided into measures 1 to 10 according to a preset section, the input material Y2 is divided into measures 1 to 10 according to a preset depreciation section, and the input running financial charge Y3 is divided into measures 1 to 10 according to a preset section. The time required for the execution of the process also follows a predetermined division into measures 1 to 10 as input Z.
Finally, the formula of the energy efficiency assessment of the empty pipe process is On + Y1+ Y2+ Y3+ Z as P, and P represents the energy efficiency assessment value.
And when the process management system is applied, a process KPI module is called, a unique air traffic control digital transformation maturity model of an air traffic control bureau is fused through a process KPI calculation module, and the competition algorithm is used for forming an energy efficiency evaluation algorithm by inputting people, properties, materials and time into a working head in the air traffic control process. The flow energy efficiency evaluation output by the flow KPI calculation module comprehensively reflects the efficiency and cost of flow execution, and can provide digital quantized reference for users when doing flow planning work or flow improvement work.
And when the process management system is applied, the process creation module is called, and has the characteristics of visualization, modularization and draggable operation. The method provides intelligent flow node link automatic association help for the user through the bottom layer A star routing algorithm, and enables the user to conveniently build a flow node relation when the user handles the flow construction of the cross-functional department.
When the process management system is applied, the process monitoring module is called, the process monitoring module compares the empty management bureau process frame shown in the figures 4 and 5 with the process execution data obtained from the data lake in real time by using a fitting algorithm, the execution condition of the process is monitored, the perception capability of the user on the process operation is improved, and whether the process smoothly operates in the boundary of the process frame to which the user should belong is perceived.
The embodiment combines the process management and the digital transformation to generate the effect that 1+1 is larger than 2, and the long-term process of reshaping the creation mode of the client value is the digital transformation by changing the aspects of organizing activities, processes, business modes and the like and reasonably applying modern technology and communication means. The process is changed in the enterprise by digital transformation, and the original business operation mode is changed by applying a new technology, so that the efficiency of mutual service in the enterprise is improved finally, and the quality of service output to the outside by the enterprise is improved.
In the digital system or system described in this embodiment, the operation of the service is managed, and the dynamic state of the service is sensed. When a problem occurs in a certain system, the manager can quickly perceive which business processes are affected and which are to be affected. When a certain upper regulation changes due to the change of objective factors, a manager can quickly locate which business processes need to be improved and need to be reproduced. When a process is optimized or changed, it may be necessary to adjust the functions of the system, so that the administrator can make the best adjustments or re-deploy the system for completing the business according to the process.
The invention and its embodiments have been described above schematically, without limitation, and the invention can be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The representation in the drawings is only one of the embodiments of the invention, the actual construction is not limited thereto, and any reference signs in the claims shall not limit the claims concerned. Therefore, if a person skilled in the art receives the teachings of the present invention, without inventive design, a similar structure and an embodiment to the above technical solution should be covered by the protection scope of the present patent. Furthermore, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Several of the elements recited in the product claims may also be implemented by one element in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims (10)

1. The method for managing the air traffic control process is characterized in that the process is used for driving business operation, the management of business execution is realized through the management process, the process management comprises process monitoring, process creation and process KPI, wherein the process monitoring is used for monitoring the operation conditions of all air traffic control service processes, and the process creation builds a creation process in a modularized, visual and/or drag-and-drop chained operation mode; the process KPI is used for analyzing the efficiency of the calculation process and counting the resource consumption required by the completion process.
2. The method according to claim 1, wherein the process KPI uses a competition algorithm to calculate the input during the execution of the air traffic process, and combines with an energy efficiency evaluation algorithm to evaluate and calculate the process energy efficiency of the air traffic process output.
3. The empty management process management method according to claim 2, wherein the competition algorithm isThe formula of the competition layer is h (x) e-r2(x-c)2In the formula, e, r and c are the adjusting constants of the competition algorithm, the adjusting constants are natural numbers larger than zero, and x is the input of the competition algorithm.
4. The air traffic control process management method according to claim 2, wherein the energy efficiency assessment calculation formula is On + Y1+ Y2+ Y3+ Z ═ P, P represents an energy efficiency assessment value, Y1, Y2 and Y3 represent human, financial and material resource parameters consumed in executing the process, Z represents a time parameter required for executing the process, and On represents the sum of O1 to Oi output after competition by the competition algorithm, respectively.
5. The method as claimed in claim 1, wherein the flow creation uses a star routing algorithm.
6. The air traffic control process management method according to claim 5, wherein when the a-star routing algorithm is applied, a model is established first, and an area is established; and then calculating path quantity values, wherein the path quantity values comprise a path G from the starting point to the current position and a path H from the current position to the target point, the path G and the path H are added to obtain a path sum value F, and in a module meeting the adding condition, selecting a point corresponding to the minimum value of the path F to create a process.
7. The empty pipe process management method according to claim 1, wherein the process monitoring uses a fitting algorithm to compare the empty pipe office process frame and the process execution data obtained from the data lake in real time to monitor the process execution.
8. An empty management process management system, characterized in that, the empty management process management method according to any one of claims 1 to 7 is used, and comprises an application layer, an algorithm layer and a data layer, wherein during process management, the data layer acquires data through each level of processes of a process management framework, the algorithm layer calculates the acquired data, and the application layer executes the calculation result of the algorithm layer; the application layer comprises process monitoring, process creation and process KPI; the algorithm layer comprises a fitting algorithm module, an air traffic control flow energy efficiency evaluation module and an artificial intelligence module; the data layer includes a process framework and steps and dynamic process execution data.
9. The air traffic control process management system according to claim 8, wherein an air traffic control office process framework of the data layer is built by using a five-level architecture diagram of an APQC method to construct an air traffic control three-level process framework, and the first-level process comprises a production operation process and a control support process.
10. The empty pipe process management system of claim 8, wherein the dynamic process execution data of the data layer comprises an empty pipe digital transformation maturity model.
CN202011108744.7A 2020-10-16 2020-10-16 Empty management process management method and system Pending CN112241840A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011108744.7A CN112241840A (en) 2020-10-16 2020-10-16 Empty management process management method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011108744.7A CN112241840A (en) 2020-10-16 2020-10-16 Empty management process management method and system

Publications (1)

Publication Number Publication Date
CN112241840A true CN112241840A (en) 2021-01-19

Family

ID=74169420

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011108744.7A Pending CN112241840A (en) 2020-10-16 2020-10-16 Empty management process management method and system

Country Status (1)

Country Link
CN (1) CN112241840A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101097619A (en) * 2006-06-27 2008-01-02 国际商业机器公司 System and method for monitoring business flowpath
CN101751613A (en) * 2009-12-31 2010-06-23 杭州哲达科技股份有限公司 Information processing method for visual chemical-process operational energy efficiency mandatory administration system
CN102034151A (en) * 2010-12-13 2011-04-27 东莞市高鑫机电科技服务有限公司 SOA-based enterprise collaboration management system service flow design method and system
CN106444428A (en) * 2016-10-25 2017-02-22 中国石油化工股份有限公司 Process simulation software based atmospheric and vacuum distillation unit optimization operation system and method
CN106506347A (en) * 2016-11-10 2017-03-15 成都中嵌自动化工程有限公司 A kind of multi-protocol data communication gate equipment for air traffic control system
CN111079997A (en) * 2019-12-03 2020-04-28 北京仿真中心 Modeling and collaborative optimization method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101097619A (en) * 2006-06-27 2008-01-02 国际商业机器公司 System and method for monitoring business flowpath
CN101751613A (en) * 2009-12-31 2010-06-23 杭州哲达科技股份有限公司 Information processing method for visual chemical-process operational energy efficiency mandatory administration system
CN102034151A (en) * 2010-12-13 2011-04-27 东莞市高鑫机电科技服务有限公司 SOA-based enterprise collaboration management system service flow design method and system
CN106444428A (en) * 2016-10-25 2017-02-22 中国石油化工股份有限公司 Process simulation software based atmospheric and vacuum distillation unit optimization operation system and method
CN106506347A (en) * 2016-11-10 2017-03-15 成都中嵌自动化工程有限公司 A kind of multi-protocol data communication gate equipment for air traffic control system
CN111079997A (en) * 2019-12-03 2020-04-28 北京仿真中心 Modeling and collaborative optimization method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张强: "路网寻径的A星算法改进", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Similar Documents

Publication Publication Date Title
Kayikci et al. Exploring barriers to smart and sustainable circular economy: The case of an automotive eco-cluster
Liu et al. A three-phase fuzzy multi-criteria decision model for charging station location of the sharing electric vehicle
Vohra Intelligent decision support systems for admission management in higher education institutes
Wu et al. A critical barrier analysis framework to the development of rural distributed PV in China
Bouraima et al. An integrated intelligent decision support framework for the development of photovoltaic solar power
Meng et al. TRIZ-based green energy project evaluation using innovation life cycle and fuzzy modeling
Zhang Evaluation and analysis of human resource management mode and its talent screening factors based on decision tree algorithm
Brzeziński et al. Integrated Business Process Management in Contemporary Enterprises-a Challenge or a Necessity?
Chungade et al. Employee performance assessment in virtual organization using domain-driven data mining and sentiment analysis
CN112241840A (en) Empty management process management method and system
CN115375190A (en) Enterprise operation management system and method
Ivanov et al. Fuzzy modelling of Big Data of HR in the conditions of Industry 4.0
Galli Decision-Making Tools and Strategic Planning in Project Environments: The Overlap Of The Two Concepts
Jiang et al. A fuzzy DEMATEL method to analyze the criteria for sustainable supplier selection
Wang et al. Strategic response for ease of doing business using case-based reasoning
Muse et al. Proposal of a Methodology for Urban Continual Improvement with Smart Cities Integrated Solutions & Technologies
Yari et al. Design and implementation of organizational architecture in organizations in charge of combating smuggling of goods and currency with the aim of improving the management of organizational networks
Kozin Decision support system for the management of a vehicle service workshop
He Data Mining Analysis Research on Intelligent Application of Cloud Accounting——Taking Cloud Accounting and Financial Sharing Center as an Example
Novikov et al. Approaches to developing a strategic program for high-tech enterprise in the context of digital transformation
Nargesi et al. Evaluation of the use of business process reengineering (BPR) for improving business-IT alignment by utilizing the intelligent decision support system (IDSS)
Deng Optimising enterprise financial sharing process using cloud computing and big data approaches
Cai The use of full-cost refinement management in enterprise economic management
Mutschler Modeling and simulating causal dependencies on process-aware information systems from a cost perspective
Utomo et al. A Concept of Value and Sustainable Performance On Affordable High-Rise Residential Decision

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210119

RJ01 Rejection of invention patent application after publication