CN110610291A - Method and device for evaluating ability of aviation personnel, electronic equipment and medium - Google Patents
Method and device for evaluating ability of aviation personnel, electronic equipment and medium Download PDFInfo
- Publication number
- CN110610291A CN110610291A CN201910731197.9A CN201910731197A CN110610291A CN 110610291 A CN110610291 A CN 110610291A CN 201910731197 A CN201910731197 A CN 201910731197A CN 110610291 A CN110610291 A CN 110610291A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- standard
- index
- personnel
- ability
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000011156 evaluation Methods 0.000 claims abstract description 231
- 238000013210 evaluation model Methods 0.000 claims abstract description 42
- 238000012549 training Methods 0.000 claims description 23
- 238000004519 manufacturing process Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 9
- 238000010972 statistical evaluation Methods 0.000 claims description 8
- 238000012552 review Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000011161 development Methods 0.000 abstract description 4
- 238000007689 inspection Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 8
- 230000010006 flight Effects 0.000 description 8
- 230000009471 action Effects 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (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 application provides an aviation personnel capability assessment method and device, electronic equipment and a computer readable medium. Wherein the method comprises the following steps: determining the type of a person to be evaluated, calling a person capacity evaluation model corresponding to the type of the person to be evaluated, determining a plurality of index item data of the person to be evaluated recorded in a basic information base, and determining the capacity evaluation value of the person to be evaluated according to the plurality of index item data and the person capacity evaluation model. The method can achieve the purpose of accurately and finely evaluating the technical capability of the aviation personnel, and compared with the prior art, the method can enable a user to scientifically screen out excellent aviation personnel, promote the technical development of the aviation personnel, eliminate personnel with poor technology and further reduce aviation safety.
Description
Technical Field
The application relates to the field of aviation personnel evaluation, in particular to an aviation personnel capability evaluation method and device, electronic equipment and a computer readable medium.
Background
In recent years, the aviation demand of China is continuously increased, the airport scale is continuously enlarged, and in order to ensure the flight safety, the selection of aviation personnel is very important, wherein the aviation personnel comprise aviation companies, airports and various civil aviation management unit personnel.
At present, selection of aviation personnel is blind, and mainly appears in assessment of technical abilities of the aviation personnel and aviation teams, but no scientific and standard assessment method exists at present, assessment of the abilities of the aviation personnel and comprehensive abilities of the aviation teams cannot be achieved, and assessment basis is lacked.
Therefore, how to evaluate the technical capabilities of the aviation personnel and the aviation teams is a technical problem to be solved urgently in the field.
Disclosure of Invention
The application aims to provide an aviation personnel capability assessment method and device, electronic equipment and a computer readable medium.
The application provides an aviation personnel ability evaluation method in a first aspect, which comprises the following steps:
determining the type of a person to be evaluated;
calling a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, wherein the personnel ability evaluation model is a model which is constructed in advance according to index project data, an index evaluation standard and a personnel ability evaluation standard; wherein the index evaluation standard is used for evaluating the index item data to obtain an index evaluation value; the personnel ability evaluation standard is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a personnel ability evaluation value;
determining a plurality of index project data of the personnel to be evaluated, which are recorded in a basic information base;
and determining the capability evaluation value of the person to be evaluated according to the index project data and the person capability evaluation model.
The second aspect of the present application provides an airline personnel capability assessment apparatus, including:
the type determining module is used for determining the type of the person to be evaluated;
the model calling module is used for calling a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, and the personnel ability evaluation model is a model which is constructed in advance according to index project data, an index evaluation standard and a personnel ability evaluation standard; wherein the index evaluation standard is used for evaluating the index item data to obtain an index evaluation value; the personnel ability evaluation standard is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a personnel ability evaluation value;
the data determination module is used for determining a plurality of index project data of the personnel to be evaluated, which are recorded in a basic information base;
and the capability evaluation module is used for determining the capability evaluation value of the person to be evaluated according to the index project data and the person capability evaluation model.
A third aspect of the present application provides an electronic device comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program when executing the computer program to perform the method of the first aspect of the application.
A fourth aspect of the present application provides a computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of the first aspect of the present application.
Compared with the prior art, according to the aviation personnel capacity evaluation method provided by the first aspect of the application, the type of the personnel to be evaluated is determined, the personnel capacity evaluation model corresponding to the type of the personnel to be evaluated is called, the index item data of the personnel to be evaluated recorded in the basic information base are determined, and the capacity evaluation value of the personnel to be evaluated is determined according to the index item data and the personnel capacity evaluation model. The personnel ability evaluation model is constructed in advance according to the index project data, the index evaluation standard and the personnel ability evaluation standard, so that the technical ability of personnel can be evaluated according to the personnel ability evaluation model, the purpose of accurately and finely evaluating the technical ability of aviation personnel can be achieved through the method, and compared with the prior art, a user can scientifically screen excellent aviation personnel, the technical development of the aviation personnel is promoted, the personnel with poor technology is eliminated, and the aviation safety is reduced.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a flow chart of an airline capability assessment method provided by some embodiments of the present application;
FIG. 2 illustrates a flow diagram of a method of constructing a human competency assessment model provided by some embodiments of the present application;
FIG. 3 illustrates a schematic diagram of an airline capability assessment device provided in some embodiments of the present application;
FIG. 4 is a schematic diagram illustrating an airline capability assessment device according to further embodiments of the present application;
FIG. 5 illustrates a schematic diagram of an electronic device provided by some embodiments of the present application;
FIG. 6 illustrates a schematic diagram of a computer-readable medium provided by some embodiments of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
In addition, the terms "first" and "second", etc. are used to distinguish different objects, rather than to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the application provides an aviation personnel capability assessment method and device, electronic equipment and a computer readable medium, which are described below with reference to the attached drawings.
Referring to fig. 1, which illustrates a flowchart of an airline personnel capacity assessment method according to some embodiments of the present application, as shown, the airline personnel capacity assessment method may include the following steps:
step S101: the type of person to be assessed is determined.
In the embodiments of the present application, the aviation personnel include various types, such as pilots, crew members, signature members, security members, ground personnel, and the like. It will be appreciated that different types of people have different technical capabilities and therefore the capability assessment methods for different types of people are also different.
Therefore, the embodiment of the application firstly determines the type of the person to be evaluated so as to determine the method to be adopted.
Step S102: and calling a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, wherein the personnel ability evaluation model is a model which is constructed in advance according to index project data, an index evaluation standard and a personnel ability evaluation standard.
Wherein the index evaluation criterion is used for evaluating the index item data to obtain an index evaluation value. The person ability evaluation criterion is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a person ability evaluation value.
The index project data may include production data, training inspection data, theoretical examination data, and teaching mutual evaluation data, and each index project may further include a plurality of sub-evaluation projects, for example, sub-evaluation projects such as a training task completion condition, whether a requirement criterion is met, and a completion action condition may be set in the training inspection index project, and the setting of the index project and the sub-evaluation projects thereof may be set according to an actual condition, which is not limited in the present application.
According to the method and the device, in order to accurately evaluate the technical capability of the personnel, the index items to be evaluated are set for different types of aviation personnel, and the personnel capability evaluation models corresponding to the different types of aviation personnel are established in advance according to the index item data, the index evaluation standards and the personnel capability evaluation standards so as to be called correspondingly. The person capability evaluation model can evaluate the index project data of the person one by one to obtain corresponding index evaluation values, and then perform weighted calculation on the index evaluation values to obtain the capability evaluation value of the person, wherein the weight of the weighted calculation can be set by a user according to actual conditions, for example, the weight can be 55% of production data, 20% of training and inspection data, 15% of examination theoretical data and 15% of teaching mutual evaluation data.
In order to more intuitively embody the technical ability of the personnel, the evaluation values of various indexes and the evaluation values of the personnel ability can be further graded. Therefore, in some embodiments of the present application, the index evaluation criterion is also used to rank the index evaluation value to obtain an index evaluation rank. The personnel ability evaluation standard is also used for grading the personnel ability evaluation value to obtain a personnel ability evaluation grade.
Specifically, the human ability evaluation model may be pre-constructed according to the index project data, the index evaluation criterion, and the human ability evaluation criterion in a manner shown in fig. 2:
step S201: acquiring historical index item data of a certain type of personnel recorded in a basic information base;
step S202: determining each standard index evaluation value corresponding to each historical index item data one by one, and determining the standard ability evaluation value of the personnel corresponding to each standard index evaluation value; determining a standard index evaluation grade corresponding to the standard index evaluation value, and determining a standard ability evaluation grade of a person corresponding to the standard ability evaluation value;
step S203: performing statistical evaluation on the historical index project data, the standard index evaluation value and the standard index evaluation grade to obtain an index evaluation standard; and performing statistical evaluation on the standard index evaluation value, the standard ability evaluation value and the standard ability evaluation grade to obtain a personnel ability evaluation standard.
Step S204: the index evaluation criterion and the person ability evaluation criterion constitute an ability evaluation model of the certain type of person.
After the person ability evaluation model corresponding to the type of the person to be evaluated is called, the following steps S103 to S104 are performed.
Step S103: and determining a plurality of index project data of the person to be evaluated recorded in a basic information base.
All relevant data of the aviation personnel are recorded in the basic information base, and a plurality of index project data corresponding to the personnel to be evaluated can be determined in the basic information base.
Step S104: and determining the capability evaluation value of the person to be evaluated according to the index project data and the person capability evaluation model.
According to the embodiment of the application, after a plurality of index project data of the person to be evaluated are determined, the plurality of index project data can be input into the called person capacity evaluation model corresponding to the type of the person to be evaluated, and the capacity evaluation value of the person is obtained.
The above aviation personnel ability evaluation method can be used for a client, and in the embodiment of the application, the client may include hardware or software. When the client includes hardware, it may be various electronic devices having a display screen and supporting information interaction, for example, and may include, but not be limited to, a smart phone, a tablet computer, a laptop portable computer, a desktop computer, and the like. When the client includes software, it may be installed in the electronic device, and it may be implemented as a plurality of software or software modules, or as a single software or software module. And is not particularly limited herein.
Compared with the prior art, the method for evaluating the ability of the aviation personnel, provided by the embodiment of the application, determines the ability evaluation value of the personnel to be evaluated according to the plurality of index item data and the personnel ability evaluation model by determining the type of the personnel to be evaluated, calling the personnel ability evaluation model corresponding to the type of the personnel to be evaluated, determining the plurality of index item data of the personnel to be evaluated, which are recorded in a basic information base. The personnel ability evaluation model is constructed in advance according to the index project data, the index evaluation standard and the personnel ability evaluation standard, so that the technical ability of personnel can be evaluated according to the personnel ability evaluation model, the purpose of accurately and finely evaluating the technical ability of aviation personnel can be achieved through the method, and compared with the prior art, a user can scientifically screen excellent aviation personnel, the technical development of the aviation personnel is promoted, the personnel with poor technology is eliminated, and the aviation safety is reduced.
For better understanding of the above embodiments of the present application, the present application will be further described with reference to a specific embodiment, wherein the pilot index item data includes production data, training inspection data, theoretical examination data and teaching cross-evaluation data, and the production data includes flight parameter recorder QAR data and flight data. The QAR (Quick Access Recorder) is a standard configuration component of an aircraft, and actually records various parameters during flight.
For the pilot, the specific capacity evaluation model construction method is as follows:
QAR assessment criteria formulation
The index evaluation standard corresponding to the QAR data comprises an evaluation grade standard and a technical grade standard; obtaining the evaluation grade standard according to the overrun event engineering value and a corresponding first deduction coefficient; and obtaining the technical grade standard according to the technical grade of the pilot and the corresponding second deduction coefficient.
1) Evaluation grade standard: the engineering value is divided into five grades according to the overrun event, wherein the grades are represented by I, II, III, IV and V, the grade is from high to bottom, the engineering value is from low to high, and the deduction is from low to high. Different engineering values and deduction coefficients are set for each grade, and the evaluation grade standard is shown in the following table 1:
the rule of the deduction coefficient states that: the evaluation weight is divided into deduction values which are seriously out of limit, so that the IV-grade coefficient is 1; class V is defined as 20% of events exceeding the serious over-limit, the deduction is increased, and the evaluation weight is twice of the evaluation weight, so that the class V coefficient is 2; the values of I, II and III are calculated by descending the same values on the basis of the IV-level coefficient 1, wherein I is (1/4) × 1, II is (1/4) × 2 and III is (1/4) × 3. The difference between the heavy value and the light value is the difference between the heavy value and the light value. The engineering value and the deduction coefficient of the evaluation grade can be flexibly set.
According to the established evaluation grade standard, the evaluation standard of each sub-evaluation item and each evaluation grade is established, and the evaluation standard is shown in the following table 2:
2) technical grade standard: the evaluation grades can be flexibly set, and the grades are supposed to be divided into 12 technical grades, wherein the grades are from low to high, and the deduction is from low to high. Different score factors were set as shown in table 3 below:
description of rules of deduction: the 12 grades are the highest grade of the technology, the evaluation grade is determined to deduct the value, the coefficient is 1, and the same value is sequentially increased from the grade 1 to the grade 12 for calculation. Such as: a rank 1 (1/12) × 1, a rank 2 (1/12) × 2, and a rank 3 (1/12) × 3. The rules of the deduction coefficient of each technical grade can be flexibly defined.
3) Determining an estimated total deduction for the pilot based on the QAR data, the estimation rating criteria, and the skill rating criteria.
And (3) deduction algorithm: judging the evaluation grade according to the engineering value of the overrun event to obtain an evaluation grade deduction coefficient, obtaining a technical grade deduction coefficient according to the pilot technical grade, and then calculating according to the following formula:
an evaluation weight score, a first deduction coefficient, a second deduction coefficient, an evaluation total deduction
Second, capability level establishment
The corresponding index valuations for pilot production data may be ranked in two dimensions, and the capacity rating may be ranked in five levels, represented by A, B, C, D, E from high to low.
Dimension one: and comprehensively judging the flight capability level by adopting a matrix model. And (4) judging through the overrun flight rate and the average score of flights, wherein the evaluation results in each time are different in high and low levels and different in score limit of capacity level. Specifically, as shown in table 4 below.
Wherein, the average score is: (number of flights-number of overrun flights 100+ (number of overrun flights 100-total deduction assessed))/number of flights-average score of pilots.
Wherein, overrun is: the number of overrun flights/total number of flights equals to the pilot flight overrun.
Dimension two: and comprehensively judging the flight capability level by adopting a matrix model. And (4) judging through the overrun flight rate and the overrun severity, wherein the evaluation result at each time has different levels and different value limits of the capacity level. The details are shown in table 5 below:
wherein, the severity: the total deduction/number of overrun flights is evaluated as the overrun severity.
Wherein, overrun is: the number of overrun flights/total number of flights is the flight overrun rate.
Third, training, checking and evaluating rule making
The training and inspection results involved in the management of the airline personnel's resources, such as: theoretical training, analog machine training, air route inspection, local inspection and analog machine inspection. The conclusion is divided into five grades, and the scores of the training and inspection conclusion of each grade after conversion are shown in the following table 6.
| Serial number | Training and examination conclusion | Score of |
| 1 | The flight is finished, meets the requirements and has excellent flight action. | 100 |
| 2 | The flight is finished, meets the requirements and has good flight action. | 80 |
| 3 | The completion, the conformity to the requirements, the flight action and the like. | 60 |
| 4 | And finishing, not meeting the requirements and having the flight action. | 40 |
| 5 | The completion is not in accordance with the requirements, and the flight action is poor. | 20 |
The training ability level evaluation rule is shown in table 7 below:
| evaluating rules | Average score | Ability, etc |
| Training (checking) in theory, analog plane, route and local field for nearly 6 months | 100 | A |
| Training (checking) in theory, analog plane, route and local field for nearly 6 months | 80 | B |
| Training (checking) in theory, analog plane, route and local field for nearly 6 months | 60 | C |
| Training (checking) in theory, analog plane, route and local field for nearly 6 months | 40 | D |
| Training (checking) in theory, analog plane, route and local field for nearly 6 months | 20 | E |
Fourth, examination evaluation rule making
The ability level is defined according to the scores of the theoretical exam, and the rules are shown in the following table 8:
| level of capability | A | B | C | D | E |
| Score value | >＝90 | >＝80 | >＝70 | >＝60 | <60 |
Fifth, teaching mutual evaluation rule making
The teaching evaluation is divided into three conditions of evaluation of a student to a teacher, evaluation of the student by the teacher and evaluation of an inspector to the teacher. In order to embody the fairness principle, the final score of the teaching evaluation is the average score of each person, so the calculation rule is fixed and cannot be modified.
And (3) calculating a rule: and automatically acquiring the teaching evaluation result of the last half year, and then calculating the average value. All the role data of the aviation personnel with multiple roles (such as a pilot with the identity of an inspector, an instructor and a student) are calculated, and then an average value is calculated.
The ability level defined by the counted average value is freely adjustable as shown in the following table 9:
| grade | A | B | C | D | E |
| Range of average value | 4<X<＝5 | 3<X<＝4 | 2<X<＝3 | 1<X<＝2 | 0<X<＝1 |
Sixth, comprehensive evaluation rule making
The technical capability assessment of the pilots is assessed from the dimensions of production, training inspection, theoretical examination, mutual teaching assessment and the like, and the comprehensive ranking calculates the comprehensive score according to different dimensional weights, for example, the production accounts for 55%, the training inspection accounts for 20%, the theoretical examination accounts for 15%, and the mutual teaching assessment accounts for 10% in percentage. The operation rule is as follows: (average flight score-flight overrun rate-overrun severity) × 0.55+ training inspection score × 0.20+ theoretical examination score × 0.15+ teaching cross-assessment score × 0.15 ═ composite score, and the composite score is the ability assessment value of the pilot.
In summary, the embodiment evaluates the technical capability of the pilot and generates quantitative result data by using the capability evaluation model based on the production data, the training examination data, the theoretical examination data and the teaching mutual evaluation data, screens out excellent pilots according to the evaluation result data, promotes the technical development of the pilots, eliminates the pilots with poor technology, and accordingly reduces the aviation safety.
In the embodiment, an aviation personnel capability evaluation method is provided, and correspondingly, the application also provides an aviation personnel capability evaluation device. The aviation personnel capability evaluation device provided by the embodiment of the application can implement the aviation personnel capability evaluation method, and can be implemented by software, hardware or a software and hardware combination mode. For example, the airline personnel capability assessment device may comprise integrated or separate functional modules or units to perform the corresponding steps in the methods described above. Referring to fig. 3, a schematic diagram of an aviation personnel capability assessment device provided by some embodiments of the present application is shown. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
As shown in fig. 3, the airline personnel capability evaluation device 10 may include:
the type determining module 101 is used for determining the type of the person to be evaluated;
the model calling module 102 is configured to call a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, where the personnel ability evaluation model is a model pre-constructed according to index project data, an index evaluation standard and a personnel ability evaluation standard; wherein the index evaluation standard is used for evaluating the index item data to obtain an index evaluation value; the personnel ability evaluation standard is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a personnel ability evaluation value;
the data determination module 103 is configured to determine a plurality of index item data of the person to be evaluated, which are recorded in a basic information base;
and the capability evaluation module 104 is used for determining the capability evaluation value of the person to be evaluated according to the index item data and the person capability evaluation model.
In some implementations of the embodiments of the present application, the index evaluation criterion is further configured to perform ranking on the index evaluation value to obtain an index evaluation rank; the personnel ability evaluation standard is also used for grading the personnel ability evaluation value to obtain a personnel ability evaluation grade.
Referring to fig. 4, which shows a schematic diagram of an aviation personnel capability assessment apparatus provided in other embodiments of the present application, as shown in the figure, the aviation personnel capability assessment apparatus 10 may further include:
the model building module 105 is configured to pre-build the staff capability evaluation model according to the index project data, the index evaluation criteria, and the staff capability evaluation criteria in the following manner:
acquiring historical index item data of a certain type of personnel recorded in a basic information base;
determining each standard index evaluation value corresponding to each historical index item data one by one, and determining the standard ability evaluation value of the personnel corresponding to each standard index evaluation value; determining a standard index evaluation grade corresponding to the standard index evaluation value, and determining a standard ability evaluation grade of a person corresponding to the standard ability evaluation value;
performing statistical evaluation on the historical index project data, the standard index evaluation value and the standard index evaluation grade to obtain an index evaluation standard; performing statistical evaluation on the standard index evaluation value, the standard ability evaluation value and the standard ability evaluation level to obtain a personnel ability evaluation standard;
the index evaluation criterion and the person ability evaluation criterion constitute an ability evaluation model of the certain type of person.
In some implementations of embodiments of the present application, the index item data includes production data, training exam data, theoretical exam data, and teaching cross-review data.
In some implementations of embodiments of the present application, the personnel are pilots, and the production data includes flight parameter recorder QAR data and flight data;
the index evaluation standard corresponding to the QAR data comprises an evaluation grade standard and a technical grade standard; obtaining the evaluation grade standard according to the engineering value and a corresponding first deduction coefficient; obtaining the technical grade standard according to the technical grade of the pilot and a second deduction coefficient corresponding to the technical grade;
determining an estimated total deduction of the pilot according to the QAR data, the estimation grade standard and the technical grade standard;
determining the average flight score, the flight overrun rate and the overrun severity of the pilot according to the flight data and the total evaluation deduction score;
and determining an index evaluation value corresponding to the production data of the pilot according to the average flight score, the flight overrun rate and the overrun severity of the pilot.
The aviation personnel capability evaluation device 10 provided by the embodiment of the application has the same beneficial effects as the aviation personnel capability evaluation method provided by the previous embodiment of the application based on the same inventive concept.
The embodiment of the present application further provides an electronic device corresponding to the method for evaluating the ability of an airline worker provided in the foregoing embodiment, where the electronic device may be an electronic device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, and the like, so as to execute the method for evaluating the ability of an airline worker.
Please refer to fig. 5, which illustrates a schematic diagram of an electronic device according to some embodiments of the present application. As shown in fig. 5, the electronic device 20 includes: the system comprises a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202; the memory 201 stores a computer program that can be executed on the processor 200, and the processor 200 executes the method for evaluating the ability of the airline personnel provided in any one of the foregoing embodiments when executing the computer program.
The Memory 201 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
Bus 202 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used for storing a program, and the processor 200 executes the program after receiving an execution instruction, and the method for evaluating the ability of an airline personnel disclosed in any one of the embodiments of the present application may be applied to the processor 200, or implemented by the processor 200.
The processor 200 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 200. The Processor 200 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the method in combination with the hardware thereof.
The electronic equipment provided by the embodiment of the application and the method for evaluating the ability of the aviation personnel provided by the embodiment of the application have the same beneficial effects as the method adopted, operated or realized by the electronic equipment.
Referring to fig. 6, a computer-readable storage medium is shown as an optical disc 30, on which a computer program (i.e., a program product) is stored, where the computer program is executed by a processor to perform the method for evaluating the ability of an airline member according to any of the embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above-mentioned embodiment of the present application and the method for evaluating the ability of an airline personnel provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer-readable storage medium.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present disclosure, and the present disclosure should be construed as being covered by the claims and the specification.
Claims (10)
1. An airline personnel capability assessment method, comprising:
determining the type of a person to be evaluated;
calling a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, wherein the personnel ability evaluation model is a model which is constructed in advance according to index project data, an index evaluation standard and a personnel ability evaluation standard; wherein the index evaluation standard is used for evaluating the index item data to obtain an index evaluation value; the personnel ability evaluation standard is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a personnel ability evaluation value;
determining a plurality of index project data of the personnel to be evaluated, which are recorded in a basic information base;
and determining the capability evaluation value of the person to be evaluated according to the index project data and the person capability evaluation model.
2. The method according to claim 1, wherein the index evaluation criterion is also used for ranking the index evaluation value to obtain an index evaluation rank;
the personnel ability evaluation standard is also used for grading the personnel ability evaluation value to obtain a personnel ability evaluation grade.
3. The method according to claim 2, wherein the human ability evaluation model is constructed in advance from the index project data, the index evaluation criterion, and the human ability evaluation criterion in the following manner:
acquiring historical index item data of a certain type of personnel recorded in a basic information base;
determining each standard index evaluation value corresponding to each historical index item data one by one, and determining the standard ability evaluation value of the personnel corresponding to each standard index evaluation value; determining a standard index evaluation grade corresponding to the standard index evaluation value, and determining a standard ability evaluation grade of a person corresponding to the standard ability evaluation value;
performing statistical evaluation on the historical index project data, the standard index evaluation value and the standard index evaluation grade to obtain an index evaluation standard; performing statistical evaluation on the standard index evaluation value, the standard ability evaluation value and the standard ability evaluation level to obtain a personnel ability evaluation standard;
the index evaluation criterion and the person ability evaluation criterion constitute an ability evaluation model of the certain type of person.
4. The method of claim 1, wherein the index item data includes production data, training exam data, theoretical exam data, and teaching cross-review data.
5. The method of claim 4, wherein the personnel are pilots, the production data includes flight profiler QAR data and flight data;
the index evaluation standard corresponding to the QAR data comprises an evaluation grade standard and a technical grade standard; obtaining the evaluation grade standard according to the engineering value and a corresponding first deduction coefficient; obtaining the technical grade standard according to the technical grade of the pilot and a second deduction coefficient corresponding to the technical grade;
determining an estimated total deduction of the pilot according to the QAR data, the estimation grade standard and the technical grade standard;
determining the average flight score, the flight overrun rate and the overrun severity of the pilot according to the flight data and the total evaluation deduction score;
and determining an index evaluation value corresponding to the production data of the pilot according to the average flight score, the flight overrun rate and the overrun severity of the pilot.
6. An airline personnel capability evaluation device, comprising:
the type determining module is used for determining the type of the person to be evaluated;
the model calling module is used for calling a personnel ability evaluation model corresponding to the type of the personnel to be evaluated, and the personnel ability evaluation model is a model which is constructed in advance according to index project data, an index evaluation standard and a personnel ability evaluation standard; wherein the index evaluation standard is used for evaluating the index item data to obtain an index evaluation value; the personnel ability evaluation standard is used for carrying out weighted evaluation on the plurality of index evaluation values to obtain a personnel ability evaluation value;
the data determination module is used for determining a plurality of index project data of the personnel to be evaluated, which are recorded in a basic information base;
and the capability evaluation module is used for determining the capability evaluation value of the person to be evaluated according to the index project data and the person capability evaluation model.
7. The apparatus according to claim 6, wherein the index evaluation criterion is further used for ranking the index evaluation value to obtain an index evaluation rank;
the personnel ability evaluation standard is also used for grading the personnel ability evaluation value to obtain a personnel ability evaluation grade.
8. The apparatus of claim 6, further comprising:
the model building module is used for pre-building the personnel ability evaluation model according to the index project data, the index evaluation standard and the personnel ability evaluation standard in the following way:
acquiring historical index item data of a certain type of personnel recorded in a basic information base;
determining each standard index evaluation value corresponding to each historical index item data one by one, and determining the standard ability evaluation value of the personnel corresponding to each standard index evaluation value; determining a standard index evaluation grade corresponding to the standard index evaluation value, and determining a standard ability evaluation grade of a person corresponding to the standard ability evaluation value;
performing statistical evaluation on the historical index project data, the standard index evaluation value and the standard index evaluation grade to obtain an index evaluation standard; performing statistical evaluation on the standard index evaluation value, the standard ability evaluation value and the standard ability evaluation level to obtain a personnel ability evaluation standard;
the index evaluation criterion and the person ability evaluation criterion constitute an ability evaluation model of the certain type of person.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method according to any of claims 1 to 5.
10. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910731197.9A CN110610291A (en) | 2019-08-08 | 2019-08-08 | Method and device for evaluating ability of aviation personnel, electronic equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910731197.9A CN110610291A (en) | 2019-08-08 | 2019-08-08 | Method and device for evaluating ability of aviation personnel, electronic equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110610291A true CN110610291A (en) | 2019-12-24 |
Family
ID=68891048
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910731197.9A Pending CN110610291A (en) | 2019-08-08 | 2019-08-08 | Method and device for evaluating ability of aviation personnel, electronic equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110610291A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111861253A (en) * | 2020-07-29 | 2020-10-30 | 北京车薄荷科技有限公司 | Personnel capacity determining method and system |
| CN112163740A (en) * | 2020-09-11 | 2021-01-01 | 日立楼宇技术（广州）有限公司 | Block chain-based maintenance personnel evaluation result obtaining method and device |
| CN113128876A (en) * | 2021-04-22 | 2021-07-16 | 北京房江湖科技有限公司 | Image-based object management method, device and computer-readable storage medium |
| CN114091806A (en) * | 2021-10-11 | 2022-02-25 | 军事科学院军事医学研究院环境医学与作业医学研究所 | Method for evaluating operation efficiency of radar operator |
| CN114241852A (en) * | 2021-12-30 | 2022-03-25 | 中国民航科学技术研究院 | Multi-source data fusion-based flight simulation training evaluation system and method for in-process aircraft |
| CN116012205A (en) * | 2023-02-20 | 2023-04-25 | 无锡市第二人民医院 | Intelligent training management method and system for aged caregivers |
-
2019
- 2019-08-08 CN CN201910731197.9A patent/CN110610291A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111861253A (en) * | 2020-07-29 | 2020-10-30 | 北京车薄荷科技有限公司 | Personnel capacity determining method and system |
| CN112163740A (en) * | 2020-09-11 | 2021-01-01 | 日立楼宇技术（广州）有限公司 | Block chain-based maintenance personnel evaluation result obtaining method and device |
| CN112163740B (en) * | 2020-09-11 | 2023-06-27 | 日立楼宇技术（广州）有限公司 | Method and device for acquiring maintenance personnel assessment results based on blockchain |
| CN113128876A (en) * | 2021-04-22 | 2021-07-16 | 北京房江湖科技有限公司 | Image-based object management method, device and computer-readable storage medium |
| CN114091806A (en) * | 2021-10-11 | 2022-02-25 | 军事科学院军事医学研究院环境医学与作业医学研究所 | Method for evaluating operation efficiency of radar operator |
| CN114241852A (en) * | 2021-12-30 | 2022-03-25 | 中国民航科学技术研究院 | Multi-source data fusion-based flight simulation training evaluation system and method for in-process aircraft |
| CN114241852B (en) * | 2021-12-30 | 2022-06-21 | 中国民航科学技术研究院 | Multi-source data fusion-based flight simulation training evaluation system and method for in-process aircraft |
| CN116012205A (en) * | 2023-02-20 | 2023-04-25 | 无锡市第二人民医院 | Intelligent training management method and system for aged caregivers |
| CN116012205B (en) * | 2023-02-20 | 2024-06-07 | 无锡市第二人民医院 | Intelligent training management method and system for aged caregivers |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110610291A (en) | Method and device for evaluating ability of aviation personnel, electronic equipment and medium | |
| Mohammadfam et al. | Developing an integrated decision making approach to assess and promote the effectiveness of occupational health and safety management systems | |
| Baltazar et al. | Global decision support for airport performance and efficiency assessment | |
| Wang et al. | A method of applying flight data to evaluate landing operation performance | |
| CN104346231B (en) | Instrument board performance analyser | |
| US20150310393A1 (en) | Methods for identifying a best fit candidate for a job and devices thereof | |
| US20140025418A1 (en) | Clustering Based Resource Planning, Work Assignment, and Cross-Skill Training Planning in Services Management | |
| CN110675017A (en) | Performance evaluation method and device based on artificial intelligence | |
| CN109740036B (en) | Hotel ordering method and device for OTA platform | |
| WO2020150611A1 (en) | Systems and methods for entity performance and risk scoring | |
| EP3438898A1 (en) | Data processing method and device | |
| Tsang et al. | Development of an accident modelling in the Hong Kong construction industry | |
| Zamri et al. | A fuzzy TOPSIS with Z-numbers approach for evaluation on accident at the construction site | |
| CN108764825A (en) | Job information matching process, device, computer equipment and storage medium | |
| CN115205073A (en) | Student vocational skill tendency evaluation method, device, computer equipment and medium | |
| JP6152713B2 (en) | Information processing method, apparatus and program | |
| CN107645510A (en) | A kind of computational methods and computing device of regional safety prevention ability | |
| CN107145995A (en) | Production environment safety prediction methods, devices and systems | |
| CN113344660A (en) | House source information processing method and device, electronic equipment and storage medium | |
| Koohathongsumrit et al. | Strategic Marketing Information System Planning: an Integrated BWM–ELECTRE Approach | |
| WO2020150597A1 (en) | Systems and methods for entity performance and risk scoring | |
| CN115293275A (en) | Data identification method and device, electronic equipment and storage medium | |
| CN115564278A (en) | Performance data management system and method and computing equipment | |
| JP7324157B2 (en) | Information processing device, information processing method, and information processing program | |
| Rivensin et al. | A TOPSIS and ELECTRE Comparison Analysis on Web-Based Software |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191224 |