CN103325187B - A kind of ATM running status statistical method based on comprehensive Homes Using TV and system - Google Patents

Abstract

The invention discloses a kind of ATM running status statistical method based on comprehensive Homes Using TV and system, first, set up the data collecting model of ATM; Then, according to the standard preset, the running status of ATM is divided into several, and utilizes above-mentioned data collecting model to calculate the duration of each running status; Finally, according to the duration of above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status.Each state of its maintenance data collection model statistics equipment working time, thus science, efficiently, calculate the comprehensive Homes Using TV of ATM accurately, the requirement of various index is added up in algorithm support, and the multi-angle run from ATM carries out statistics examination, thus avoids only relying on single Homes Using TV index; Meanwhile, meet real-time statistics needs, the overall target of the various time dimension of accurately real-time statistics.

Description

A kind of ATM running status statistical method based on comprehensive Homes Using TV and system

Technical field

The present invention relates to ATM Homes Using TV statistics field, particularly a kind of ATM running status statistical method based on comprehensive Homes Using TV and system.

Background technology

ATM is one of the primary window of client faced by finance service, is the services channels of new generation of serving existing customer, receiving new client and creation multi-source income.Bank has recognized that ATM shuts down to wait and has caused trouble to client, and client is defeated by the loss that rival brings.According to the computing formula of Homes Using TV (on time ÷ working time × 100%), Homes Using TV often increases one percentage point, will be the on time that an ATM increases by 3.6 days every year, and when being multiplied with the ATM sum of bank, this numeral will highly significant.Undoubtedly, the Homes Using TV of ATM has become directly affects one of most important factor of the relation of bank and client.

But single examination Homes Using TV, index is single, and examination granularity is inadequate, lacks fairness.Such as the Homes Using TV of Possum A is very high by 98%, and the Homes Using TV of Possum B is low a little by one 92%, but Possum A provide service time of depositing and withdrawing but much lower than Possum B.List is sayed from performance assessment criteria, and Possum A is higher than Possum B, but actual cash is but also not as Possum B service time.Therefore need to introduce new performance assessment criteria.

In addition, performance assessment criteria is ageing low.The time dimension of existing Homes Using TV examination is day, month, year, but must wait until that day is eventually, the end of the month, corresponding upper day just can be calculated, last month, the Homes Using TV of last year after year-end statistics, the same day can not be calculated in real time, this month, Homes Using TV then, and can not Self defined time section Homes Using TV statistics.And algorithm flexibility ratio is poor: original Homes Using TV formula=on time ÷ working time × 100%, it is the switching on and shutting down mistiming adopting Possum setting for the working time, be generally 24 hours or 8 hours, but for some such as: site is fitted up, and has a holiday or vacation, have a power failure, the special circumstances such as application version upgrading lack effective process, adopt fixing algorithm, statistics is inaccurate, also lacks comparability.

In view of this, prior art need to improve.

Summary of the invention

The object of the present invention is to provide a kind of ATM running status statistical method based on comprehensive Homes Using TV and system, single to solve the index existed in ATM running state analysis method in prior art, examination granularity is inadequate, lacks the problems such as fairness.

In order to achieve the above object, this invention takes following technical scheme:

Based on an ATM running status statistical method for comprehensive Homes Using TV, wherein, comprise the following steps:

S1, set up the data collecting model of ATM;

The running status of ATM is divided into several by the standard that S2, basis preset, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

S3, duration according to above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status.

The described ATM running status statistical method based on comprehensive Homes Using TV, wherein, the running status of the ATM in described step S2 comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time.

The described ATM running status statistical method based on comprehensive Homes Using TV, wherein, calculates described comprehensive Homes Using TV in described step S3, except the duration according to running status, also need to combine and shut down Dynamic gene.

The described ATM running status statistical method based on comprehensive Homes Using TV, wherein, the data collecting model in described step S1 is:

$T\left(S_i\right)=\underset{j=1}{\overset{\mathrm{count}\left(S_i\right)}{\mathrm{\Σ}}}{T}_j\left(S_i\right);$

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

Wherein, S1, S2 ... Sn is ATM running status;

S is there is in the corresponding time period _{i (i>=1)}state change frequency is count (S _i);

There is S in jth time within the corresponding time period _ithe state change moment is M _j(S _i)

S is kept in the corresponding time period _istate duration is T (S _i)

Jth time S within the corresponding time period _istate keeps duration to be T _j(S _i).

Based on an ATM running status statistical system for comprehensive Homes Using TV, wherein, comprising:

MBM, for setting up the data collecting model of ATM;

Duration calculation module, for being divided into several according to the standard preset by the running status of ATM, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

Statistical module, for the duration according to above-mentioned running status, calculates comprehensive Homes Using TV, completes the statistics of ATM running status.

The described ATM running status statistical system based on comprehensive Homes Using TV; wherein, the running status of the ATM in described duration calculation module comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time.

The described ATM running status statistical system based on comprehensive Homes Using TV, wherein, calculates described comprehensive Homes Using TV in described statistical module, except the duration according to running status, also need to combine and shut down Dynamic gene.

The described ATM running status statistical method based on comprehensive Homes Using TV, wherein, the data collecting model in described MBM is:

$T\left(S_i\right)=\underset{j=1}{\overset{\mathrm{count}\left(S_i\right)}{\mathrm{\Σ}}}{T}_j\left(S_i\right);$

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

Wherein, S1, S2 ... Sn is ATM running status;

S is there is in the corresponding time period _{i (i>=1)}state change frequency is count (S _i);

There is S in jth time within the corresponding time period _ithe state change moment is M _j(S _i)

S is kept in the corresponding time period _istate duration is T (S _i)

Jth time S within the corresponding time period _istate keeps duration to be T _j(S _i).

Beneficial effect:

ATM running status statistical method based on comprehensive Homes Using TV of the present invention and system, each state of maintenance data collection model statistics equipment working time, thus science, efficiently, calculate the comprehensive Homes Using TV of ATM accurately, the requirement of various index is added up in algorithm support, and the multi-angle run from ATM carries out statistics examination, thus avoids only relying on single Homes Using TV index; Meanwhile, meet real-time statistics needs, the overall target of the various time dimension of accurately real-time statistics.

Accompanying drawing explanation

Fig. 1 is the process flow diagram of the ATM running status statistical method based on comprehensive Homes Using TV of the present invention.

Fig. 2 is the schematic diagram based on running status record change in the ATM running status statistical method of comprehensive Homes Using TV of the present invention.

Embodiment

The invention provides a kind of ATM running status statistical method based on comprehensive Homes Using TV and system.For making object of the present invention, technical scheme and effect clearly, clearly, referring to accompanying drawing examples, the present invention is described in more detail.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

Refer to Fig. 1, it is the process flow diagram of the ATM running status statistical method based on comprehensive Homes Using TV of the present invention.As shown in the figure, the described ATM running status statistical method based on comprehensive Homes Using TV comprises the following steps:

S1, set up the data collecting model of ATM;

The running status of ATM is divided into several by the standard that S2, basis preset, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

S3, duration according to above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status.

Be described in detail for above-mentioned steps respectively below:

First be the data collecting model setting up ATM, the three elements that Homes Using TV calculates: timing statistics, Possum external service time, the Possum regulation business hours, wherein timing statistics and regulation business hours are fixing, Possum needs to be calculated by algorithm external service time, and the equipment external service time therefore how in scientific statistics a period of time is exactly the core becoming Homes Using TV algorithm.And Possum is determined by the various running status of Possum external service time.Can find, when the running status of Possum changes, a time point all can be had to carry out the change of recording status by the data analyzing running status.

In the present embodiment, a kind of data collecting model is given.Please continue to refer to Fig. 2, wherein, S1, S2 ... Sn is Possum running status (in the present embodiment, the running status of ATM comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time).Therefore can analyze abstract for this situation for data acquisition module.Suppose with t ₁moment is to t ₂moment is example:

Note t ₁-t ₂there is S in the period _{i (i>=1)}state change frequency is count (S _i);

Note t ₁-t ₂in period there is S in jth time _ithe state change moment is M _j(S _i);

Note t ₁-t ₂period keeps S _istate duration is T (S _i);

Note t ₁-t ₂jth time S in period _istate keeps duration to be T _j(S _i).

Consider the accuracy of data collecting model, for boundary value agreement t ₁moment state is t ₁the state that moment last state change in the past gathers, if cannot obtain Last status, then specifies from t ₁-t ₂first the state change gathered in period starts statistics.For t ₁-t ₂last the state change point gathered in period is T _j(S _i)=t ₂-M _j(S _i).

For t ₁-t ₂each state S in period _{i (i>=1)}keep duration, algorithmic formula is:

$T\left(S_i\right)=\underset{j=1}{\overset{\mathrm{count}\left(S_i\right)}{\mathrm{\Σ}}}{T}_j\left(S_i\right)$

T _j(S _i)＝M _m(S _n)-M _j(S _i)

Wherein S _nand S _ifor time upper two adjacent state points, and S _ntime of origin is later than S _i.

After establishing data collecting model, then according to the standard preset, the running status of ATM is divided into several, and utilizes above-mentioned data collecting model to calculate the duration of each running status.Shown below is a kind of division methods of ATM running status, as shown in the table:

Can the duration of the various state of real-time statistics according to data collecting model, declare following variable

T ₁: represent global function service duration in a period of time,

T ₂: represent half function services duration in a period of time,

T: regulation business hours, be defaulted as regulation ATM unused time-difference of on time, generally dispose site by Possum and determine, if 24 self-help banks are then 24 hours, market or time-out are generally 8 hours, but in time adding up duration and be less than 1 day, are then statistics duration.

Finally, according to the duration of above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status.Wherein, comprehensive Homes Using TV comprises: cash service rate, safeguard outage rate, downtime rate and off-line outage rate etc., the running status analyzing ATM that can be comprehensive.

Cause Possum externally not serve for non-artificial factor, the application is also creationary introduces shutdown Dynamic gene, sets manually the shutdown duration that special circumstances occur.Thus, the three elements that in a period of time, Homes Using TV calculates just possess:

Equipment external service time: t ₁=T ₁+ T ₂;

The equipment cash service time: t ₂=T ₁;

Equipment running time: t ₃=T-X;

Homes Using TV: R ₁=t ₁/ t ₃* 100%;

Cash service rate: R ₂=t ₂/ t ₃* 100%.

Specifically describe below by two embodiments:

Embodiment one:

Add up the Homes Using TV of an equipment (no) certain a period of time (day1-day2)

Operation hours: $t_{1,\mathrm{no}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}(T_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})$

The equipment cash service time: $t_{2,\mathrm{no}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\left(T_{1,\mathrm{day},\mathrm{no}}\right)$

Equipment running time: $t_{3,\mathrm{no}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})$

Homes Using TV: $R_{1,\mathrm{no}}=t_{1,\mathrm{no}/t_{3,\mathrm{no}}}*100\%=\frac{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}(T_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})}{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%$

Cash service rate: $R_{2,\mathrm{no}}=t_{2,\mathrm{no}}/t_{3,\mathrm{no}}*100\%=\frac{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\left(T_{1,\mathrm{day},\mathrm{no}}\right)}{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%.$

Embodiment two:

The Homes Using TV of all devices (no) certain period (day1-day2) under statistics mechanism of bank (org)

Operation hours: $t_{1,\mathrm{org}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}(T_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})$

The equipment cash service time: $t_{2,\mathrm{org}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}\left(T_{1,\mathrm{day},\mathrm{no}}\right)$

Equipment running time: $t_{3,\mathrm{org}}=\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}\left(T_{\mathrm{day},\mathrm{no}-X_{\mathrm{day},\mathrm{no}}}\right)$

Homes Using TV: $R_{1,\mathrm{org}}=t_{1,\mathrm{org}}/t_{3,\mathrm{org}}*100\%=\frac{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}(T_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})}{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%$

Cash service rate: $R_{2,\mathrm{org}}=t_{2,\mathrm{org}}/t_{3,\mathrm{org}}*100\%=\frac{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}\left(T_{1,\mathrm{day},\mathrm{no}}\right)}{\underset{\mathrm{day}1}{\overset{\mathrm{day}2}{\mathrm{\Σ}}}\underset{\mathrm{no}}{\mathrm{\Σ}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%.$

Correspondingly, present invention also offers a kind of ATM running status statistical system based on comprehensive Homes Using TV, it comprises:

MBM, for setting up the data collecting model of ATM;

Duration calculation module, for being divided into several according to the standard preset by the running status of ATM, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

Statistical module, for the duration according to above-mentioned running status, calculates comprehensive Homes Using TV, completes the statistics of ATM running status.

Further, the running status of the ATM in described duration calculation module comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time.

Calculate described comprehensive Homes Using TV in described statistical module, except the duration according to running status, also need to combine and shut down Dynamic gene.

Further, the data collecting model in described MBM is:

$T\left(S_i\right)=\underset{j=1}{\overset{\mathrm{count}\left(S_i\right)}{\mathrm{\Σ}}}{T}_j\left(S_i\right);$

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

Wherein, S1, S2 ... Sn is ATM running status;

S is there is in the corresponding time period _{i (i>=1)}state change frequency is count (S _i);

There is S in jth time within the corresponding time period _ithe state change moment is M _j(S _i)

S is kept in the corresponding time period _istate duration is T (S _i)

Jth time S within the corresponding time period _istate keeps duration to be T _j(S _i).

In sum, the ATM running status statistical method based on comprehensive Homes Using TV of the present invention, sets up the data collecting model of ATM; Then, according to the standard preset, the running status of ATM is divided into several, and utilizes above-mentioned data collecting model to calculate the duration of each running status; Finally, according to the duration of above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status.Each state of its maintenance data collection model statistics equipment working time, thus science, efficiently, calculate the comprehensive Homes Using TV of ATM accurately, the requirement of various index is added up in algorithm support, and the multi-angle run from ATM carries out statistics examination, thus avoids only relying on single Homes Using TV index; Meanwhile, meet real-time statistics needs, the overall target of the various time dimension of accurately real-time statistics.

Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, and all these change or replace the protection domain that all should belong to the claim appended by the present invention.

Claims (4)

1., based on an ATM running status statistical method for comprehensive Homes Using TV, it is characterized in that, comprise the following steps:

S1, set up the data collecting model of ATM;

The running status of ATM is divided into several by the standard that S2, basis preset, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

S3, duration according to above-mentioned running status, calculate comprehensive Homes Using TV, complete the statistics of ATM running status;

Data collecting model in described step S1 is:

；

；

Wherein, S1, S2 ... Sn is ATM running status;

Occur in the corresponding time period state change frequency is ;

Within the corresponding time period secondary appearance the state change moment is ;

Keep in the corresponding time period state duration is ;

Within the corresponding time period secondary state maintenance duration is ;

Calculate described comprehensive Homes Using TV in described step S3, except the duration according to running status, also need to combine and shut down Dynamic gene;

Described shutdown Dynamic gene is set manually the shutdown duration that special circumstances occur.

2. the ATM running status statistical method based on comprehensive Homes Using TV according to claim 1, it is characterized in that, the running status of the ATM in described step S2 comprises: global function service state, half function services state, maintenance state, communication failure state out of service, hardware fault state out of service, software fault state out of service and off-mode.

3., based on an ATM running status statistical system for comprehensive Homes Using TV, it is characterized in that, comprising:

MBM, for setting up the data collecting model of ATM;

Duration calculation module, for being divided into several according to the standard preset by the running status of ATM, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

Statistical module, for the duration according to above-mentioned running status, calculates comprehensive Homes Using TV, completes the statistics of ATM running status;

Data collecting model in described MBM is:

；

；

Wherein, S1, S2 ... Sn is ATM running status;

Occur in the corresponding time period state change frequency is ;

Within the corresponding time period secondary appearance the state change moment is ;

Keep in the corresponding time period state duration is ;

Within the corresponding time period secondary state maintenance duration is ;

Calculate described comprehensive Homes Using TV in described statistical module, except the duration according to running status, also need to combine and shut down Dynamic gene;

Described shutdown Dynamic gene is set manually the shutdown duration that special circumstances occur.

4. the ATM running status statistical system based on comprehensive Homes Using TV according to claim 3, it is characterized in that, the running status of the ATM in described duration calculation module comprises: global function service state, half function services state, maintenance state, communication failure state out of service, hardware fault state out of service, software fault state out of service and off-mode.