CN116228173A - Intelligent management system for official buses based on data analysis - Google Patents
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Abstract
The invention belongs to the technical field of public service vehicle management, and particularly discloses a public service vehicle intelligent management system based on data analysis, which comprises an enterprise information extraction module, an enterprise personnel monitoring module, a public service vehicle information extraction module, a public service vehicle use analysis module, a vehicle scheduling requirement judgment module, a vehicle scheduling mode evaluation module and a scheduling evaluation feedback terminal; the invention effectively solves the problem that the current individual selection level management of users has a certain defect, ensures the adaption degree and the balance degree of the number of the public service vehicles and the number of the required vehicles, greatly reduces the idle rate of the public service vehicles, and improves the service efficiency of the public service vehicles to the greatest extent, thereby maximizing the service value of the public service vehicles, reducing the interference to the personnel going out, ensuring the working efficiency of staff in the security enterprises and remarkably improving the dispatching management effect of the public service vehicles.
Description
Technical Field
The invention belongs to the technical field of public service vehicle management, and relates to an intelligent management system for a public service vehicle based on data analysis.
Background
The public service vehicle is usually a vehicle for public service activities such as institutions, public enterprises and institutions, organizations and the like, and reasonable use and management of the public service vehicle are directly related to the problems of public resource saving, work efficiency improvement and the like. In particular, the scheduling of the utility vehicle is taken as an important link of the utility vehicle, and the importance of the scheduling management is self-evident.
The existing public service vehicle dispatching management mainly tends to dispatching vehicle selection management, namely, the vehicle used by an application user is approved and the calling vehicle of the application user is matched and managed, and the public service vehicles in enterprises are not integrally and coordinately dispatched, so that obviously, the current public service vehicle dispatching management has the following problems: 1. the official vehicles have different demands of departments, the official vehicles configured by the departments are not balanced and scheduled at present according to the use information of the vehicles of the departments, and part of the vehicles are idle, so that the use efficiency of the official vehicles is low, and the price value of the official vehicles cannot be reflected.
2. The number of the public service vehicles and the demand should be balanced, and the public service vehicles and the demand should not be allocated according to the flowing condition of each part of personnel and the changing condition of the demand at present, so that the adaptation degree of the number of the public service vehicles and the demand is not high, and the resource waste is caused.
3. At present, a management mode belonging to a user individual selection layer also has a certain defect, namely, the phenomenon that no vehicle is available when a part of departments need vehicles urgently exists, the outgoing work of enterprise personnel is interfered, the vehicle requirements of the enterprise cannot be met, and the working efficiency of the enterprise personnel cannot be ensured.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, a system for intelligent management of a service vehicle based on data analysis is now provided.
The aim of the invention can be achieved by the following technical scheme: the invention provides a public service vehicle intelligent management system based on data analysis, which comprises: and the enterprise information extraction module is used for marking each business car department in the designated enterprise as each target department and extracting the working schedule information corresponding to each monitoring month of each target department.
And the enterprise personnel monitoring module is used for setting a monitoring time interval and monitoring the personnel number of each target department in the designated enterprise in each monitoring period.
And the public service vehicle information extraction module is used for extracting the number of the public service vehicles correspondingly configured by each target department and the use record list of the public service vehicles correspondingly configured.
The service vehicle use analysis module is used for analyzing service vehicle use demand trend evaluation indexes corresponding to each target department
I represents the target department number,/->
And analyzing the health state evaluation index of the corresponding configured official vehicles of each target department>
。
The vehicle dispatching requirement judging module is used for judging the dispatching requirement of the official vehicles corresponding to each target department, and when a certain target department needs to be dispatched, the department is marked as a dispatching department, and the number of the dispatching departments is counted.
And the vehicle dispatching mode evaluation module is used for evaluating the dispatching modes of the dispatching departments to obtain the dispatching modes of the dispatching departments.
And the dispatching evaluation feedback terminal is used for feeding back the dispatching modes of the dispatching departments to the public service vehicle management center of the appointed enterprise.
Preferably, the work schedule information includes the number of times of outgoing schedules, and the number of outgoing persons, the start date and the expiration date corresponding to each outgoing schedule.
Preferably, the analyzing the service vehicle usage demand trend evaluation index corresponding to each target department includes: extracting the number of times of outgoing schedules, the number of outgoing personnel corresponding to each outgoing schedule, the starting date and the expiration date from the working schedule information, and analyzing the outgoing schedule density of each target department in a set monitoring period 
Occupancy of the vehicle outside>
And go out schedule intermittent degree->
。
Calculating service vehicle use demand trend evaluation indexes corresponding to each target department
，
。
wherein ,
is natural constant (18)>
Respectively setting a schedule intensive evaluation index, a vehicle occupancy rate and a schedule intermittence rate corresponding to the service vehicle use requirement evaluation occupancy weight, < ->
Indicating the set service vehicle demand assessment correction factor, < ->
The reference density evaluation index, the reference vehicle occupancy degree and the reference schedule intermittence degree are set.
Preferably, the analyzing the outgoing schedule concentration of each target department in the set monitoring period includes: based on the number of times of outgoing schedules of each target department corresponding to each monitoring month, counting the number of outgoing monitoring months of each target department
And the number of monitoring months is recorded as +.>
。
Counting the outgoing frequency of each target department in each monitoring month, extracting the maximum outgoing frequency from the outgoing frequency, and recording the maximum outgoing frequency as
As well asWhen the average value is calculated, the average outgoing frequency of each target department corresponding to the set monitoring period is obtained>
。
Calculating the outgoing schedule concentration of each target department in a set monitoring period
，
。
Wherein P represents
，/>
Representing non-propositional symbols, < ->
Respectively, a set reference outgoing month ratio, a reference outgoing frequency, a reference frequency extremum ratio, ++ >
Respectively setting the outgoing month ratio, the outgoing frequency deviation, the outgoing frequency extremum ratio and the corresponding outgoing schedule intensive evaluation duty ratio weight, +.>
And evaluating correction factors for the set reference outgoing schedule intensity. />
Preferably, the analyzing the occupancy of the outgoing vehicle in the set monitoring period by each target department includes: counting the number of outgoing days of each target department corresponding to each outgoing schedule in each monitoring month
J represents the number of the monitored month,
，/>
indicates the number of the schedule sequence of going out->
。
The number of the outbound personnel corresponding to each outbound schedule in each monitoring month of each target department and the number of the official vehicles corresponding to each target department are respectively recorded as
and />
。
Calculating the occupancy of the outgoing vehicles of each target department in a set monitoring period
，/>
，
Evaluating conditions for the vehicle occupancy corresponding to the ith target division,
。
wherein ,
indicating the number of times of going out and->
For the set public service vehicle reference load number, <' > the load number>
The duty ratio of the public service vehicles and the duty ratio of the number of days of going out are respectively set as references, and the number of days of going out is +.>
For the days corresponding to the j-th monitoring month, < >>
The vehicle occupancy corresponding to the set vehicle occupancy and the number of days is estimated to be the occupancy weight of the vehicle, respectively +.>
Evaluating a duty weight factor for a set outbound vehicle occupancy, >
Representing rounding up symbols.
Preferably, the analyzing the outing schedule intermittence of each target department in the set monitoring period includes: counting the shortest number of days of the outgoing interval corresponding to each monitoring month of each target department, and marking as
。
Calculating the intermittence degree of each target department in the set monitoring period
，
。
wherein ,
for a set reference interval number of days, < >>
The duty cycle weights are evaluated for the set reference outgoing calendar gap. />
Preferably, the analyzing the health state evaluation index of the corresponding configured public service vehicle of each target department includes: extracting accumulated service life from service record list of each service vehicle corresponding to each target department
Repair times->
Repair amount corresponding to each repair->
R represents a maintenance sequence number,/->
D represents the number of the public service vehicle,
。
calculating the health state evaluation index of each target department corresponding to each configured official vehicle
The average value is calculated to obtain the health state evaluation index of the service vehicle corresponding to each target department>
。
wherein ,
。
Preferably, the determining the scheduling requirement of the service vehicle corresponding to each target department includes: extracting the use times and the accumulated running mileage from the use record list of the corresponding public service vehicles of each target department, and analyzing the use equilibrium state evaluation index of the corresponding public service vehicles of each target department
。
Calculating a service vehicle scheduling demand evaluation index corresponding to each target department
，
。
wherein ,
evaluating correction factors for the set reference service vehicle scheduling requirements,>
and respectively evaluating the duty ratio weights for the corresponding vehicle scheduling requirements of the usage balance, the usage requirements and the vehicle health status.
If the evaluation index of the service vehicle dispatching requirement corresponding to a certain target department is larger than the set value, judging that the target department needs to dispatch the service vehicle, otherwise, judging that the target department does not need to dispatch the service vehicle.
Preferably, the scheduling mode evaluation for each scheduling department includes: a1, confirming the number of the appropriately configured official vehicles and the number of the available configured official vehicles corresponding to each dispatching department.
A2, if the number of the service vehicles which are configured to be applicable to a certain dispatching department is in the range of the number of the service vehicles which are configured to be applicable to the dispatching department, the dispatching department is marked as an internal regulation department, and the number of the internal regulation departments is counted.
A3, extracting health state evaluation indexes of the corresponding configuration official vehicles of the internal departments, analyzing confirmation dispatching frequencies of the corresponding configuration official vehicles of the internal departments, and taking the confirmation dispatching frequencies as dispatching modes of the internal departments.
A4, if the number of the applicable official vehicles of a certain dispatching department is higher than the upper limit value of the number interval of the official vehicles which are suitable to be configured, the dispatching department is marked as an exceeding department.
A5, if the number of the available official vehicles corresponding to a certain dispatching department is lower than the lower limit value of the interval of the number of the official vehicles which are suitable to be configured, the dispatching department is marked as a department to be complemented.
And A7, carrying out coordinated scheduling analysis on the exceeding departments and the departments to be supplemented to obtain scheduling modes of the exceeding departments and the departments to be supplemented, thereby obtaining the scheduling modes of each scheduling department.
Preferably, the confirmation of the number of the service vehicles corresponding to the proper configuration of each dispatching department comprises the following specific confirmation process: extracting the number of people in each monitoring period of each scheduling department, and analyzing the personnel change trend evaluation index corresponding to each scheduling department
G represents the number of the dispatch department,/->
。
Extracting service vehicle use demand evaluation indexes corresponding to each dispatching department
Configuring a health assessment index of a service vehicle >
And the number of configured service vehicles +.>
。
Calculating the vehicle configuration change demand factors corresponding to each dispatching department
，
。
wherein ,
personal change trend, service vehicle use requirement, vehicle health status assessment index, respectively for setting reference, +.>
Evaluating a correction factor for setting a vehicle configuration change demand, < >>
And evaluating the duty ratio weight for the set personnel change, the use requirement and the vehicle health corresponding configuration change requirement respectively.
Will be
and />
Respectively serving as a lower limit value and an upper limit value of a number section of the appropriately configured official vehicles corresponding to each dispatching department, wherein +.>
Configuring a change demand factor for the set unit vehicle to correspond to the reference change vehicle number, < >>
Changing the number of vehicles for the set compensation, +.>
Representing rounding down symbols.
Compared with the prior art, the invention has the following beneficial effects: (1) The invention confirms the number of the official vehicles in a proper configuration range from the health of the official vehicles, the use requirement and the personnel change, further analyzes the scheduling modes of the official vehicles in different deviation states, effectively solves the problem that the current individual selection level management of users is deficient, ensures the adaptation degree and balance degree of the number of the official vehicles and the number of the required vehicles, realizes the balanced scheduling of each department needing to be regulated, greatly reduces the idling rate of the official vehicles, and improves the use efficiency of the official vehicles to the greatest extent, thereby maximizing the use value of the official vehicles, reducing the interference on the personnel going out, further guaranteeing the work efficiency of staff of enterprises, greatly meeting the vehicle requirements of the enterprises, and remarkably improving the management effect of the official vehicles.
(2) According to the invention, the service vehicle scheduling requirement judgment is carried out in three dimensions from the vehicle use requirement layer, the use balance layer and the health state layer, so that the authenticity and reliability of the service vehicle requirement judgment result are improved, the timeliness of service vehicle scheduling is ensured, the awareness efficiency of unbalance of service vehicle configuration is effectively prevented, the waste of service vehicle resources is reduced, and the process of resource optimization of enterprise service vehicles is promoted.
(3) According to the invention, the outgoing schedule concentration degree, the outgoing vehicle occupancy degree and the outgoing schedule intermittence degree are counted according to the working schedule information, so that the trend of the service vehicle use requirement is analyzed, the multidimensional analysis of the service vehicle use requirement corresponding to the configuration of each target department is realized, the use requirement state of the service vehicle corresponding to the configuration of each target department is intuitively displayed, a reliable data basis is provided for judging the subsequent vehicle scheduling requirement, and meanwhile, the understanding degree of the service vehicle management department on the corresponding supply condition of each service vehicle supply department is improved.
(4) According to the invention, the health state of the official vehicles is analyzed, so that the timeliness of processing the abnormal official vehicles corresponding to the appointed enterprises is improved, the interference of the health state of the vehicles on subsequent traveling is reduced, and meanwhile, the decision-making reference direction is provided for the analysis of the dispatching requirements and the dispatching modes of the official vehicles, so that the analysis basis of the dispatching requirements and the dispatching modes of the official vehicles is expanded, and the use pressure of the vehicles with poor health states is effectively relieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
FIG. 2 is a schematic overall flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the invention provides a business car intelligent management system based on data analysis, which comprises an enterprise information extraction module, an enterprise personnel monitoring module, a business car information extraction module, a business car use analysis module, a car dispatching requirement judgment module, a car dispatching mode evaluation module and a dispatching evaluation feedback terminal.
The system comprises a public service vehicle use analysis module, a public service vehicle information extraction module, a vehicle dispatching demand judgment module and a vehicle dispatching mode evaluation module, wherein the public service vehicle use analysis module is respectively connected with the enterprise information extraction module, the public service vehicle information extraction module, the vehicle dispatching demand judgment module and the vehicle dispatching mode evaluation module, the vehicle dispatching demand judgment module is respectively connected with the public service vehicle use analysis module, the public service vehicle information extraction module and the vehicle dispatching mode evaluation module, and the vehicle dispatching mode evaluation module is respectively connected with the public service vehicle information extraction module, the enterprise personnel monitoring module and the dispatching evaluation feedback terminal.
The enterprise information extraction module is used for marking each business car department in the designated enterprise as each target department and extracting the working schedule information corresponding to each monitoring month of each target department.
Specifically, the work schedule information includes the number of times of outgoing schedules, the number of outgoing persons corresponding to each outgoing schedule, the start date, and the expiration date.
The enterprise personnel monitoring module is used for setting a monitoring time interval and monitoring the personnel number of each target department in the appointed enterprise in each monitoring period.
Understandably, the number of people is monitored from personnel management of a given enterprise.
The public service vehicle information extraction module is used for extracting the number of the public service vehicles correspondingly configured by each target department and the use record list of the public service vehicles correspondingly configured by each target department.
In one embodiment, the contents recorded in the usage record table of the service vehicle include, but are not limited to, license plate number, accumulated service life, number of repairs, corresponding repair amount for each repair, and number of uses and accumulated mileage.
Understandably, the amount of maintenance corresponds to the difficulty of maintenance and the scale of maintenance, with greater difficulty of maintenance and greater scale of maintenance indicating more severe damage to the vehicle and poorer health status of the vehicle.
The service vehicle use analysis module is used for analyzing service vehicle use demand trend evaluation indexes corresponding to each target department
I represents the target department number,/->
And analyzing the health state evaluation index of the corresponding configured official vehicles of each target department>
。/>
Illustratively, the analyzing the service vehicle usage demand trend evaluation index corresponding to each target department includes: the first step, extracting the number of times of outgoing schedules, the number of outgoing personnel corresponding to each outgoing schedule, the starting date and the expiration date from the working schedule information, and analyzing the outgoing schedule concentration of each target department in a set monitoring period
Occupancy of the vehicle outside>
And go out schedule intermittent degree->
。
Understandably, K1, analyzing each target portion The gate is in setting for the schedule intensity of going out in the monitoring cycle, include: based on the number of times of outgoing schedules of each target department corresponding to each monitoring month, counting the number of outgoing monitoring months of each target department
And the number of monitoring months is recorded as +.>
。
It should be added that the outgoing monitoring month refers to a monitoring month with the number of outgoing schedules being greater than 0.
K2, comparing the number of times of the outgoing schedule of each target department in each monitoring month with the number of days of each monitoring month, counting the outgoing frequency of each target department in each monitoring month, extracting the maximum outgoing frequency from the outgoing frequency, and recording as
Meanwhile, the average outgoing frequency of each target department corresponding to the set monitoring period is obtained through average value calculation>
。
K3, calculating the outgoing schedule density of each target department in a set monitoring period
，
。
Wherein P represents
，/>
Representing non-propositional symbols, < ->
Respectively, a set reference outgoing month ratio, a reference outgoing frequency, a reference frequency extremum ratio, ++>
Respectively setting the outgoing month ratio, the outgoing frequency deviation, the outgoing frequency extremum ratio and the corresponding outgoing schedule intensive evaluation duty ratio weight, +.>
And evaluating correction factors for the set reference outgoing schedule intensity.
Understandably, analyzing the occupancy of the outgoing vehicle by each target department within a set monitoring period includes: j1, comparing the starting date and the ending date of each target department corresponding to each outgoing schedule in each monitoring month, and counting to obtain the outgoing days of each target department corresponding to each outgoing schedule in each monitoring month 
J represents the monitoring month number, +.>
，/>
Indicates the number of the schedule sequence of going out->
。
J2, respectively recording the number of outgoing personnel corresponding to each outgoing schedule of each monitoring month and the number of official vehicles corresponding to each target department as
and />
。
J3, calculating the occupancy rate of the outgoing vehicles of each target department in the set monitoring period
，/>
，/>
Evaluating conditions for the vehicle occupancy corresponding to the ith target division,
。
wherein ,
indicating the number of times of going out and->
For the set public service vehicle reference load number, <' > the load number>
The duty ratio of the public service vehicles and the duty ratio of the number of days of going out are respectively set as references, and the number of days of going out is +.>
For the days corresponding to the j-th monitoring month, < >>
The vehicle occupancy corresponding to the set vehicle occupancy and the number of days is estimated to be the occupancy weight of the vehicle, respectively +.>
Evaluating a duty weight factor for a set outbound vehicle occupancy,>
representing rounding up symbols.
It is also understandably that analyzing the outgoing schedule intermittence of each target department within the set monitoring period includes: u1, counting the shortest outgoing interval days corresponding to each monitoring month of each target department, and marking as
。
The system of shortest number of days of the departure interval corresponding to each monitoring month for each target departmentThe counting process is as follows: the starting date and the expiration date of each outgoing schedule corresponding to each monitoring month of each target department are respectively recorded as 
And
calculating the +.f. of each target department for each outgoing schedule interval day in each monitoring month>
，/>
, wherein ,/>
Indicating the start date of the ith target department corresponding to the t+1th outgoing schedule at the jth monitoring month.
Screening the shortest number of days of the outgoing interval from the number of days of the outgoing schedule interval corresponding to each monitoring month of each target department
。
U2, calculating the outing schedule intermittence of each target department in the set monitoring period
，
。
wherein ,
for a set reference interval number of days, < >>
The duty cycle weights are evaluated for the set reference outgoing calendar gap. />
Secondly, calculating service vehicle use demand trend evaluation indexes corresponding to all target departments
，
。
wherein ,
is natural constant (18)>
Respectively setting a schedule intensive evaluation index, a vehicle occupancy rate and a schedule intermittence rate corresponding to the service vehicle use requirement evaluation occupancy weight, < ->
Indicating the set service vehicle demand assessment correction factor, < ->
The reference density evaluation index, the reference vehicle occupancy degree and the reference schedule intermittence degree are set.
According to the embodiment of the invention, the outgoing schedule concentration degree, the outgoing vehicle occupancy degree and the outgoing schedule intermittence degree are counted according to the working schedule information, so that the trend of the service vehicle use requirement is analyzed, the multidimensional analysis of the service vehicle use requirement corresponding to the configuration of each target department is realized, the service requirement state of the service vehicle corresponding to the configuration of each target department is intuitively displayed, a reliable data basis is provided for judging the subsequent vehicle scheduling requirement, and meanwhile, the understanding degree of the service vehicle management department on the corresponding supply condition of each service vehicle supply department is improved.
It is to be understood that,
is shown in
Time->
Take a value of 0, in
When (I)>
The value is +.>
。
Still further exemplary, the analyzing the health status evaluation index of the corresponding configured service vehicle of each target department includes: extracting accumulated service life from service record list of each service vehicle corresponding to each target department
Number of maintenance times
Repair amount corresponding to each repair->
R represents a maintenance sequence number,/->
D represents the number of the official vehicle, +.>
。
Calculating the health state evaluation index of each target department corresponding to each configured official vehicle
The average value is calculated to obtain the health state evaluation index of the service vehicle corresponding to each target department>
。
wherein ,
。
According to the embodiment of the invention, the health state of the official vehicles is analyzed, so that the timeliness of processing abnormal official vehicles corresponding to appointed enterprises is improved, the interference of the health state of the vehicles on subsequent traveling is reduced, and meanwhile, the decision-making reference direction is provided for the analysis of the dispatching requirements and the dispatching modes of the official vehicles, so that the analysis basis of the dispatching requirements and the dispatching modes of the official vehicles is expanded, and the use pressure of the vehicles with poor health states is effectively relieved.
The vehicle dispatching requirement judging module is used for judging the dispatching requirement of the official vehicles corresponding to each target department, and when a certain target department needs to be dispatched, the department is marked as a dispatching department, and the number of the dispatching departments is counted.
Further, the determining the scheduling requirement of the official vehicle corresponding to each target department includes: extracting the use times and the accumulated running mileage from the use record list of the corresponding public service vehicles of each target department, and analyzing the use equilibrium state evaluation index of the corresponding public service vehicles of each target department
。
It should be noted that, the specific analysis process for analyzing the usage equilibrium state evaluation index of the service vehicle correspondingly configured by each target department is as follows: the highest using times and the lowest using times of the service vehicles corresponding to each configuration are respectively extracted from the using times of each target department and respectively recorded as
and />
。
Respectively extracting the highest travel mileage and the lowest travel mileage from the accumulated travel mileage of each corresponding service vehicle of each target department, and respectively recording as
and />
。
Calculating the use equilibrium state evaluation index of the service vehicle correspondingly configured by each target department
，
。
wherein ,
difference between maximum allowable number of times and maximum allowable number of times of mileage for setting reference, respectively +. >
The usage times and the driving mileage are respectively corresponding to the usage balance evaluation duty ratio weight factors and the%>
The correction factor is evaluated for the set reference using the equilibrium state.
Calculating a service vehicle scheduling demand evaluation index corresponding to each target department
，/>
。
wherein ,
to be set upEvaluating a correction factor by referring to the scheduling requirement of the official vehicle, < + >>
And respectively evaluating the duty ratio weights for the corresponding vehicle scheduling requirements of the usage balance, the usage requirements and the vehicle health status.
If the evaluation index of the service vehicle dispatching requirement corresponding to a certain target department is larger than the set value, judging that the target department needs to dispatch the service vehicle, otherwise, judging that the target department does not need to dispatch the service vehicle.
According to the embodiment of the invention, the service vehicle scheduling requirement judgment is carried out in three dimensions of the vehicle use requirement layer, the use balance layer and the health state layer, so that the authenticity and reliability of the service vehicle requirement judgment result are improved, the timeliness of service vehicle scheduling is ensured, the awareness efficiency of unbalance of service vehicle configuration is effectively prevented, the waste of service vehicle resources is reduced, and the process of resource optimization of enterprise service vehicles is promoted.
The vehicle dispatching mode evaluation module is used for evaluating the dispatching modes of the dispatching departments to obtain the dispatching modes of the dispatching departments.
Specifically, the scheduling mode evaluation for each scheduling department includes: a1, confirming the number of the appropriately configured official vehicles and the number of the available configured official vehicles corresponding to each dispatching department.
Further, confirming the number interval of the appropriately configured official vehicles corresponding to each dispatching department, wherein the specific confirmation process is as follows: a1-1, extracting the number of people in each monitoring period of each scheduling department, and analyzing the personnel change trend evaluation index corresponding to each scheduling department
G represents the number of the dispatch department,/->
。
It should be noted that, the specific analysis process of the personnel change trend evaluation index corresponding to each dispatching department is as follows: and constructing personnel change curves corresponding to each dispatching department by taking the monitoring period as a horizontal axis and the personnel number as a vertical axis.
Extracting slope from personnel change curves corresponding to each dispatching department
And total length of ascending section curve +.>
。
The personnel change curve length corresponding to each dispatching department is recorded as
Calculating personnel change trend evaluation index corresponding to each dispatching department>
，/>
。
wherein ,
respectively the set slope of the change of the reference person and the length ratio of the reference ascending curve,
changing trend evaluation index duty ratio weights for the set change rate, the rising curve length ratio and the corresponding personnel respectively, +. >
The correction factor is evaluated for the set person's trend.
A1-2, extracting service vehicle use demand assessment indexes corresponding to each dispatching department
Configuring a health assessment index of a service vehicle>
And the number of configured service vehicles +.>
。
A1-3, calculating the vehicle configuration change demand factors corresponding to each dispatching department
，
。
wherein ,
personal change trend, service vehicle use requirement, vehicle health status assessment index, respectively for setting reference, +.>
Evaluating a correction factor for setting a vehicle configuration change demand, < >>
And evaluating the duty ratio weight for the set personnel change, the use requirement and the vehicle health corresponding configuration change requirement respectively.
A1-4, will
and />
Respectively serving as a lower limit value and an upper limit value of a number section of the appropriately configured official vehicles corresponding to each dispatching department, wherein +.>
Configuring a change demand factor for the set unit vehicle to correspond to the reference change vehicle number, < >>
Changing the number of vehicles for the set compensation, +.>
Representing rounding down symbols.
It should be added that the specific confirmation process of the number of the service vehicles can be configured is as follows: and extracting the health state evaluation index of each target department corresponding to each configured official vehicle, comparing the health state evaluation index with the set vehicle early warning health state evaluation index, and if the health state evaluation index of a certain target department corresponding to a certain configured official vehicle reaches an early warning value, taking the corresponding configured official vehicle of the target department as an early warning vehicle, and counting the number of the early warning vehicles.
And eliminating all the early warning vehicles from all the configuration official vehicles corresponding to all the target departments, and taking the number of the configuration official vehicles remained after elimination as the number of the available configuration official vehicles corresponding to all the target departments.
A2, if the number of the service vehicles which are configured to be applicable to a certain dispatching department is in the range of the number of the service vehicles which are configured to be applicable to the dispatching department, the dispatching department is marked as an internal regulation department, and the number of the internal regulation departments is counted.
A3, extracting health state evaluation indexes of the corresponding configuration official vehicles of the internal departments, analyzing confirmation dispatching frequencies of the corresponding configuration official vehicles of the internal departments, and taking the confirmation dispatching frequencies as dispatching modes of the internal departments.
The specific analysis process for analyzing the confirmation scheduling frequency of each internal department corresponding to each configured official vehicle is as follows: a3-1, making a difference between the health state evaluation index of each internal department corresponding to each configured official vehicle and the set vehicle reference health evaluation index to obtain a health state evaluation index difference of each internal department corresponding to each configured official vehicle.
A3-2, if a certain internal department corresponds to the configuration official vehicles with the health evaluation index difference of which the number is more than 0, equal to 0 and less than 0, marking the internal department as a comprehensive dispatching department, executing the step A3-2-1, otherwise executing the step A3-3.
A3-2-1, calculating a reference dispatching frequency of the service vehicle configured by the comprehensive dispatching department, and recording as
, wherein ,
。
a3-2-2, if the health state evaluation index difference of the comprehensive dispatching department corresponding to a certain configuration official vehicle is smaller than 0, the configuration official vehicle is marked as a reduced dispatching vehicle.
A3-2-3, extracting the health state evaluation index difference of each reduced dispatching vehicle in the comprehensive dispatching department, and marking as
F represents a decrease in the number of the scheduled vehicle, +.>
。
A3-2-4, calculating the confirmed dispatching frequency of each reduced dispatching vehicle in the comprehensive dispatching department
，
，/>
The floating scheduling frequency is correspondingly referenced for setting the unit health assessment index difference.
A3-2-5, if the health state evaluation index difference of the corresponding certain configuration service vehicle in the comprehensive dispatching department is equal to 0, marking the configuration service vehicle as a normal dispatching vehicle, and counting the number of the normal dispatching vehicles in the comprehensive dispatching department
Will->
As the confirmation scheduling frequency of each normally scheduled vehicle.
A3-2-6, if the health state evaluation index difference of the corresponding certain configuration service vehicle in the comprehensive dispatching department is greater than 0, marking the configuration service vehicle as a priority dispatching vehicle, and counting the priority dispatching vehicle
。
A3-2-7, and the statistics comprehensive dispatching department preferentially dispatches the confirmation dispatching frequency of the vehicle 
。
A3-3, if only the configuration official vehicles with the value greater than or equal to 0 exist in the health evaluation index differences of the configuration official vehicles corresponding to a certain internal department, marking the internal department as a normal department, and marking
As the confirmation scheduling frequency of each configured official vehicle in the normal department.
A3-4, if a certain internal department corresponds to the health evaluation index difference of each configured official vehicle and only has the configured official vehicle smaller than or equal to 0, marking the department as an early warning dispatching department, executing the step A3-4-1, and if the health evaluation index difference of each configured official vehicle in a certain internal department only has the configured official vehicle larger than or smaller than 0, marking the department as a combined dispatching department and starting the step A3-5.
A3-4-1, if the health state evaluation index difference of a certain configured official vehicle in the early warning dispatching department is smaller than 0, marking the configured official vehicle as a reduced dispatching vehicle in the early warning dispatching department, counting the number of the reduced dispatching vehicles, and analyzing the same according to the analysis mode of the confirmed dispatching frequency of each reduced dispatching vehicle in the comprehensive dispatching department to obtain the confirmed dispatching frequency of each reduced dispatching vehicle in the early warning dispatching department.
A3-4-2, if the health state evaluation index difference of a certain configured official vehicle in the early warning dispatching department is equal to 0, using the configured official vehicle as a normal dispatching vehicle in the early warning dispatching department, and passing through a formula 
And obtaining the confirmed dispatching frequency of each normally dispatched vehicle in the early warning dispatching department.
And A3-5, if the health state evaluation index difference of a certain configured official vehicle in the combined dispatching department is smaller than 0, taking the configured official vehicle as a reduced dispatching vehicle of the combined dispatching department, and obtaining the confirmed dispatching frequency of each reduced dispatching vehicle in the combined dispatching department by the same analysis according to the analysis mode of the step A3-4-1.
And A3-6, if the health state evaluation index difference of a certain configuration service vehicle in the combined dispatching department is larger than 0, taking the configuration service vehicle as a priority dispatching vehicle of the combined dispatching department, and carrying out the same analysis according to the analysis mode of A3-4-2 to obtain the confirmation dispatching frequency of each priority dispatching vehicle in the combined dispatching department.
A4, if the number of the applicable official vehicles of a certain dispatching department is higher than the upper limit value of the number interval of the official vehicles which are suitable to be configured, the dispatching department is marked as an exceeding department.
A5, if the number of the available official vehicles corresponding to a certain dispatching department is lower than the lower limit value of the interval of the number of the official vehicles which are suitable to be configured, the dispatching department is marked as a department to be complemented.
And A7, carrying out coordinated scheduling analysis on the exceeding departments and the departments to be supplemented to obtain scheduling modes of the exceeding departments and the departments to be supplemented, thereby obtaining the scheduling modes of each scheduling department.
It should be noted that, the coordinated scheduling analysis is performed on the excess departments and the departments to be complemented, and the specific analysis process is as follows: and A7-1, counting the number of the exceeding departments, extracting the difference value between each exceeding department and the upper limit value of the interval of the number of the official vehicles which are suitable for configuration, taking the difference value as the number of the exceeding vehicles of each exceeding department, and accumulating to obtain the sum of the exceeding vehicles.
And A7-2, counting the number of the to-be-compensated departments, extracting the difference value between each exceeding department and the lower limit value of the interval of the number of the appropriately configured official vehicles, and accumulating the difference value as the number of the to-be-compensated vehicles of each to-be-compensated department to obtain the sum of the to-be-compensated vehicles.
And A7-3, if the sum of the excess vehicles is equal to the sum of the vehicles to be supplemented, taking the coordinated scheduling as a scheduling mode of the excess departments and the departments to be supplemented, namely taking the excess vehicles of the excess departments as candidates of the departments to be supplemented to call the vehicles.
And A7-4, if the total sum of the exceeding vehicles is larger than the total sum of the vehicles to be supplemented, taking the supply sharing schedule as a schedule mode of a difference part between the total sum of the exceeding vehicles and the total sum of the vehicles to be supplemented, taking the coordinated schedule as a schedule mode of a consistent part between the total sum of the exceeding vehicles and the total sum of the vehicles to be supplemented, and if the total sum of the exceeding vehicles is smaller than the total sum of the vehicles to be supplemented, executing the step A7-5.
In a specific embodiment, the regulation and control mode of the shared scheduling is specifically as follows: and A7-4-1, taking the difference value between the sum of the excess vehicles and the sum of the vehicles to be supplemented as the surplus excess vehicle number.
A7-4-2, extracting the occupancy rate of the outgoing vehicles corresponding to each exceeding department in the set monitoring period, and sequentially sequencing the occupancy rate according to the sequence from small to large to obtain the occupancy sequencing of the vehicles of each exceeding department.
And A7-4-3, taking the number of the excess vehicles of the corresponding excess departments of the first vehicle occupation ranking as the number of the first screening vehicles, if the number of the first screening vehicles is larger than or equal to the number of surplus excess vehicles, randomly selecting each excess vehicle from the corresponding excess departments of the first vehicle occupation ranking according to the number of the surplus excess vehicles, extracting the license plate number of each screened excess vehicle, and uploading the license plate number to the public service vehicle comprehensive dispatching management platform.
And A7-4-4, if the number of the first screening vehicles is smaller than the number of surplus excess vehicles, taking the difference between the number of the first screening vehicles and the number of the surplus excess vehicles as the number of second selected vehicles, extracting the number of excess vehicles of a second corresponding excess department of the vehicle occupation ordering as the number of second screening vehicles, if the number of the second screening vehicles is larger than or equal to the number of the second selected vehicles, randomly selecting each excess vehicle from the number of the second corresponding excess department of the vehicle occupation ordering according to the number of the second selected vehicles, extracting the license plate number of each excess vehicle of the screening, and uploading the license plate number to a service vehicle comprehensive dispatching management platform.
And A7-4-5, if the number of the second screening vehicles is smaller than the number of the second selected vehicles, carrying out screening again according to a screening rule that the number of the first screening vehicles is smaller than the number of surplus vehicles and exceeds the number of vehicles, and uploading the screening result to a public service vehicle comprehensive dispatching management platform.
And A7-5, taking the calling shared dispatching as a dispatching mode of a part of which the total sum of the exceeding vehicles is smaller than the difference value of the total sum of the vehicles to be compensated, and taking the coordinated dispatching as a dispatching mode of a part of which the total sum of the exceeding vehicles is consistent with the total sum of the vehicles to be compensated.
In one embodiment, the specific reference procedure for invoking the shared schedule is: and A7-5-1, extracting the position of each shared dispatching vehicle and the position of the appointed enterprise from the public service vehicle comprehensive dispatching management platform to obtain the interval distance between the position of each shared dispatching vehicle and the position of the appointed enterprise, and taking the interval distance as the dispatching distance of each shared dispatching vehicle side.
And A7-5-2, comparing the scheduling distance of each shared scheduling vehicle with the set reference scheduling distance, and taking each shared scheduling vehicle which is smaller than or equal to the set reference scheduling distance as each shared scheduling vehicle of each department to be complemented.
The embodiment of the invention confirms the number interval of the properly configured official vehicles from the health, the use requirement and the personnel change of the official vehicles, further analyzes the scheduling modes of the official vehicles in different deviation states, effectively solves the problem that the current user individual selection level management has a certain shortage, ensures the adaptation degree and the balance degree of the number of the official vehicles and the number of the required vehicles, realizes the balanced scheduling of all the departments needing to be regulated, greatly reduces the idling rate of the official vehicles, and improves the use efficiency of the official vehicles to the greatest extent, thereby maximizing the use value of the official vehicles, reducing the interference on the personnel outgoing work, further guaranteeing the work efficiency of staff of enterprises, greatly meeting the vehicle requirement of the enterprises, and remarkably improving the management effect of the official vehicles.
The dispatching evaluation feedback terminal is used for feeding back the dispatching modes of the dispatching departments to the public service vehicle management center of the appointed enterprise.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. A public affair car intelligent management system based on data analysis, its characterized in that: the system comprises:
the enterprise information extraction module is used for marking each business car department in the appointed enterprise as each target department and extracting the working schedule information corresponding to each monitoring month of each target department;
the working schedule information comprises the number of times of outgoing schedules, the number of outgoing personnel corresponding to each time of outgoing schedules, a starting date and an expiration date;
the enterprise personnel monitoring module is used for setting a monitoring time interval and monitoring the personnel number of each target department in the appointed enterprise in each monitoring period;
the public service vehicle information extraction module is used for extracting the number of the public service vehicles correspondingly configured by each target department and the use record list of the public service vehicles correspondingly configured;
The service vehicle use analysis module is used for analyzing service vehicle use demand trend evaluation indexes corresponding to each target department
I represents the target department number,/->
And analyzing the health state evaluation index of the corresponding configured official vehicles of each target department>
；
The analyzing the service vehicle use demand trend evaluation index corresponding to each target department comprises the following steps:
extracting the number of times of outgoing schedules, the number of outgoing personnel corresponding to each outgoing schedule, the starting date and the expiration date from the working schedule information, and analyzing the outgoing schedule density of each target department in a set monitoring period
Occupancy of the vehicle outside>
And go out schedule intermittent degree->
；
Calculating service vehicle use demand trend evaluation indexes corresponding to each target department
，
；
wherein ,
is natural constant (18)>
Respectively setting a schedule intensive evaluation index, a vehicle occupancy rate and a schedule intermittence rate corresponding to the service vehicle use requirement evaluation occupancy weight, < ->
Represents the set utility vehicle demand assessment correction factor,
the method comprises the steps of setting a reference intensive assessment index, a reference vehicle occupancy rate and a reference schedule intermittence rate;
the vehicle scheduling demand judging module is used for judging the scheduling demands of the official vehicles corresponding to each target department, and when a certain target department needs scheduling, the department is marked as a scheduling department, and the number of the scheduling departments is counted;
The vehicle dispatching mode evaluation module is used for evaluating the dispatching modes of the dispatching departments to obtain the dispatching modes of the dispatching departments;
and the dispatching evaluation feedback terminal is used for feeding back the dispatching modes of the dispatching departments to the public service vehicle management center of the appointed enterprise.
2. The intelligent management system for the service vehicle based on data analysis as claimed in claim 1, wherein: the analyzing the outgoing schedule concentration of each target department in the set monitoring period comprises the following steps:
based on the number of times of outgoing schedules of each target department corresponding to each monitoring month, counting the number of outgoing monitoring months of each target department
And the number of monitoring months is recorded as +.>
；
Counting the outgoing frequency of each target department in each monitoring month, extracting the maximum outgoing frequency from the outgoing frequency, and recording the maximum outgoing frequency as
Meanwhile, the average outgoing frequency of each target department corresponding to the set monitoring period is obtained through average value calculation>
；/>
Calculating the outgoing schedule concentration of each target department in a set monitoring period
，
；
Wherein P represents
，/>
Representing non-propositional symbols, < ->
Respectively a set reference outgoing month ratio, a reference outgoing frequency and a reference frequency extremum ratio,
respectively setting the outgoing month ratio, the outgoing frequency deviation, the outgoing frequency extremum ratio and the corresponding outgoing schedule intensive evaluation duty ratio weight, +. >
And evaluating correction factors for the set reference outgoing schedule intensity.
3. The intelligent management system for the service vehicle based on data analysis as claimed in claim 2, wherein: the analyzing the occupancy rate of the outgoing vehicles of each target department in the set monitoring period comprises the following steps:
counting the number of outgoing days of each target department corresponding to each outgoing schedule in each monitoring month
J represents the monitoring month number, +.>
，/>
Indicates the number of the schedule sequence of going out->
；
Respectively recording the number of the outbound personnel corresponding to each outbound schedule of each target department in each monitoring month and the number of the official vehicles corresponding to each target department as
and />
；
Calculating the occupancy of the outgoing vehicles of each target department in a set monitoring period
，/>
，/>
Evaluating conditions for the vehicle occupancy corresponding to the ith target division,
；/>
wherein ,
indicating the number of times of going out and->
For the set public service vehicle reference load number, <' > the load number>
The duty ratio of the public service vehicles and the duty ratio of the number of days of going out are respectively set as references, and the number of days of going out is +.>
For the days corresponding to the j-th monitoring month, < >>
The vehicle occupancy corresponding to the set vehicle occupancy and the number of days is estimated to be the occupancy weight of the vehicle, respectively +.>
Evaluating a duty weight factor for a set outbound vehicle occupancy,>
representing rounding up symbols.
4. The intelligent management system for the service vehicle based on data analysis as claimed in claim 3, wherein: the analyzing the outing schedule intermittence of each target department in the set monitoring period comprises the following steps:
counting the shortest number of days of the outgoing interval corresponding to each monitoring month of each target department, and marking as
；
Calculating the intermittence degree of each target department in the set monitoring period
，
；
wherein ,
for a set reference interval number of days, < >>
The duty cycle weights are evaluated for the set reference outgoing calendar gap.
5. The intelligent management system for the service vehicle based on data analysis as claimed in claim 3, wherein: the analyzing the health state evaluation index of the corresponding configured public service vehicle of each target department comprises the following steps:
extracting accumulated service life from service record list of each service vehicle corresponding to each target department
Number of maintenance times
Repair amount corresponding to each repair->
R represents a maintenance sequence number,/->
D represents the number of the official vehicle, +.>
；
Calculating the health state evaluation index of each target department corresponding to each configured official vehicle
The average value is calculated to obtain the health state evaluation index of the service vehicle corresponding to each target department >
；
wherein ,
；
6. The intelligent management system for the service vehicle based on data analysis as claimed in claim 1, wherein: the judging of the public service vehicle scheduling requirement corresponding to each target department comprises the following steps:
extracting the use times and the accumulated running mileage from the use record list of the corresponding public service vehicles of each target department, and analyzing the use equilibrium state evaluation index of the corresponding public service vehicles of each target department
；
Calculating a service vehicle scheduling demand evaluation index corresponding to each target department
，/>
；
wherein ,
evaluating correction factors for the set reference service vehicle scheduling requirements,>
the duty ratio weights are evaluated for the corresponding vehicle scheduling requirements of the usage balance, the usage requirements and the vehicle health status;
if the evaluation index of the service vehicle dispatching requirement corresponding to a certain target department is larger than the set value, judging that the target department needs to dispatch the service vehicle, otherwise, judging that the target department does not need to dispatch the service vehicle.
7. The intelligent management system for the service vehicle based on data analysis according to claim 5, wherein: the scheduling mode evaluation for each scheduling department comprises the following steps:
a1, confirming the number of the appropriately configured official vehicles and the number of the available configured official vehicles corresponding to each dispatching department;
a2, if the number of the service vehicles which are configured to be applicable by a certain scheduling department is in a range of the number of the service vehicles which are configured to be applicable by the certain scheduling department, marking the scheduling department as an internal regulation department, and counting the number of the internal regulation departments;
a3, extracting health state evaluation indexes of the corresponding configuration official vehicles of each internal department, analyzing the confirmed dispatching frequencies of the corresponding configuration official vehicles of each internal department, and taking the confirmed dispatching frequencies as dispatching modes of each internal department;
a4, if the number of the corresponding available official vehicles of a certain dispatching department is higher than the upper limit value of the number interval of the official vehicles which are suitable to be configured, marking the dispatching department as an exceeding department;
a5, if the number of the available official vehicles corresponding to a certain scheduling department is lower than the lower limit value of the interval of the number of the official vehicles which are suitable to be configured, the scheduling department is marked as a department to be complemented;
and A7, carrying out coordinated scheduling analysis on the exceeding departments and the departments to be supplemented to obtain scheduling modes of the exceeding departments and the departments to be supplemented, thereby obtaining the scheduling modes of each scheduling department.
8. The intelligent management system for the service vehicle based on data analysis according to claim 7, wherein: the specific confirmation process of the number interval of the appropriately configured official vehicles corresponding to each dispatching department is as follows:
extracting the number of people in each monitoring period of each scheduling department, and analyzing the personnel change trend evaluation index corresponding to each scheduling department
G represents the number of the dispatch department,/->
；
Extracting service vehicle use demand evaluation indexes corresponding to each dispatching department
Configuring a health assessment index of a service vehicle>
And the number of configured service vehicles +.>
；
Calculating the vehicle configuration change demand factors corresponding to each dispatching department
，
；
wherein ,
personal change trend, service vehicle use requirement, vehicle health status assessment index, respectively for setting reference, +.>
Evaluating a correction factor for setting a vehicle configuration change demand, < >>
The duty ratio weight is evaluated for the set personnel change, the use requirement and the vehicle health corresponding configuration change requirement respectively;
will be
and />
Respectively serving as a lower limit value and an upper limit value of a number section of the appropriately configured official vehicles corresponding to each dispatching department, wherein +.>
Configuring a change demand factor for the set unit vehicle to correspond to the reference change vehicle number, < > >
Changing the number of vehicles for the set compensation, +.>
Representing rounding down symbols. />
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116777175A (en) * | 2023-07-06 | 2023-09-19 | 车泊喜智能科技(山东)有限公司 | Wisdom adds oil statistics data analysis management cloud platform |
| CN116777175B (en) * | 2023-07-06 | 2024-04-30 | 车泊喜智能科技(山东)有限公司 | Wisdom adds oil statistics data analysis management cloud platform |
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