CN103325187A - ATM (automatic teller machine) running state statistics method and system based on comprehensive turn-on rate - Google Patents

Abstract

The invention discloses an ATM (automatic teller machine) running state statistics method and system based on a comprehensive turn-on rate. The method includes the steps: firstly, building a data acquisition model of an ATM; secondly, dividing running states of the ATM into a plurality of types according to preset standards and calculating the duration of each running state by the aid of the data acquisition model; finally, calculating the comprehensive turn-on rate according to the duration of each running state to finish statistics of the running states of the ATM. The running time of each state of the ATM is counted by the aid of the data acquisition model, so that the comprehensive turn-on rate of the ATM is scientifically, efficiently and accurately calculated, the algorithm meets the requirement for statistics of various indexes, statistical evaluation is performed from multiple running angles of the ATM, and accordingly, dependence on only a single turn-on rate index is avoided. Besides, the requirement for real-time statistics is met, and comprehensive indexes of various time dimensions are accurately counted in real time.

Description

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

Technical field

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

Background technology

ATM is one of main window of finance service's facing customers, is to serve the existing customer, receive new client and create the services channels of new generation that multi-source is taken in.Bank has recognized that ATM shutdown etc. causes trouble to the client, and the client is defeated by the loss that the rival brings.According to the computing formula (on time ÷ working time * 100%) of Homes Using TV, the every growth one percentage point of Homes Using TV will be the annual on time that increases by 3.6 days of an ATM, and when the ATM sum with bank multiplies each other, this numeral will highly significant.Undoubtedly, the Homes Using TV of ATM has become one of most important factor of the direct relation that affects bank and client.

Yet, single examination Homes Using TV, index is single, and the examination granularity is inadequate, lacks fairness.Homes Using TV such as Possum A is very high by 98%, and the Homes Using TV of Possum B is low by one 92% a little, but Possum A provide the service time of depositing and withdrawing but much lower than Possum B.Singly say from performance assessment criteria, 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, just can calculate corresponding upper day after the year-end statistics, last month, the Homes Using TV of last year, can not calculate in real time the same day, this month, Homes Using TV then, and Homes Using TV that can not Self defined time section statistics.And the algorithm flexibility ratio is poor: original Homes Using TV formula=on time ÷ working time * 100%, it is the switching on and shutting down mistiming of adopting Possum to set for the working time, be generally 24 hours or 8 hours, but for some for example: the site finishing, have a holiday or vacation, have a power failure, the special circumstances such as application version upgrading lack effectively to be processed, adopt fixing algorithm, statistics is inaccurate, also lacks comparability.

In view of this, prior art is still waiting to improve and improve.

Summary of the invention

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

In order to achieve the above object, the present invention has taked following technical scheme:

A kind of ATM running status statistical method based on comprehensive Homes Using TV wherein, may further comprise the steps:

S1, set up the data collecting model of ATM;

S2, according to predefined standard the running status of ATM is divided into severally, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

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

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

Described ATM running status statistical method based on comprehensive Homes Using TV wherein, is calculated described comprehensive Homes Using TV among the described step S3, except the duration according to running status, also need to adjust the factor in conjunction with shutting down.

Described ATM running status statistical method based on comprehensive Homes Using TV, wherein, the data collecting model among the 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 the ATM running status;

S appears in the corresponding time period _{I (i 〉=1)}The state variation number of times is count (S _i);

Within the corresponding time period the j time S appears _iState variation is M constantly _j(S _i)

Keep S in the corresponding time period _iThe state duration is T (S _i)

The j time S within the corresponding time period _iIt is T that state keeps duration _j(S _i).

A kind of ATM running status statistical system based on comprehensive Homes Using TV wherein, comprising:

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

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

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

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

Described ATM running status statistical system based on comprehensive Homes Using TV wherein, is calculated described comprehensive Homes Using TV in the described statistical module, except the duration according to running status, also need to adjust the factor in conjunction with shutting down.

Described ATM running status statistical method based on comprehensive Homes Using TV, wherein, the data collecting model in the 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 the ATM running status;

S appears in the corresponding time period _{I (i 〉=1)}The state variation number of times is count (S _i);

Within the corresponding time period the j time S appears _iState variation is M constantly _j(S _i)

Keep S in the corresponding time period _iThe state duration is T (S _i)

The j time S within the corresponding time period _iIt is T that state keeps duration _j(S _i).

Beneficial effect:

ATM running status statistical method and system based on comprehensive Homes Using TV of the present invention, each state of maintenance data collection model statistics equipment working time, thereby science, efficiently, calculate accurately the comprehensive Homes Using TV of ATM, the requirement of various indexs is added up in the algorithm support, adds up examination from the multi-angle of ATM operation, thereby avoids only relying on single Homes Using TV index; Simultaneously, the real-time statistics needs have been satisfied, accurately the overall target of the real-time various time dimensions of statistics.

Description of drawings

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 that changes based on running status record 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 and system based on comprehensive Homes Using TV.For making purpose of the present invention, technical scheme and effect clearer, clear and definite, the present invention is described in more detail referring to the accompanying drawing examples.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.

See also 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, described ATM running status statistical method based on comprehensive Homes Using TV may further comprise the steps:

S1, set up the data collecting model of ATM;

S2, according to predefined standard the running status of ATM is divided into severally, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

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

The below is described in detail for above-mentioned steps respectively:

It at first is the data collecting model of setting up ATM, the three elements that Homes Using TV is calculated: timing statistics, Possum external service time, the Possum regulation business hours, wherein timing statistics and regulation business hours are fixed, Possum external service time need to calculate by algorithm, and therefore how be exactly the core that becomes the Homes Using TV algorithm equipment external service time in scientific statistics a period of time.And Possum is determined by the various running statuses of Possum external service time.Can find when the running status of Possum changes, all can have a time point to come the variation of recording status by the data of analyzing running status.

In the present embodiment, provided a kind of data collecting model.Please continue to consult 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 for data acquisition module this situation is abstract.Suppose with t ₁The time be carved into t ₂Be example constantly:

Note t ₁-t ₂S appears in the period _{I (i 〉=1)}The state variation number of times is count (S _i);

Note t ₁-t ₂The j time S appears in period _iState variation is M constantly _j(S _i);

Note t ₁-t ₂Period keeps S _iThe state duration is T (S _i);

Note t ₁-t ₂The j time S in period _iIt is T that state keeps duration _j(S _i).

Consider the accuracy of data collecting model, for boundary value agreement t ₁State is t constantly ₁The state of constantly last state variation collection if can't obtain Last status, was then stipulated from t in the past ₁-t ₂First state variation that gathers in period begins statistics.For t ₁-t ₂Last the state variation point that gathers 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)

S wherein _nAnd S _iBe upper two adjacent state points of time, and S _nTime of origin is later than S _i

After having set up data collecting model, then according to predefined standard the running status of ATM is divided into severally, and utilizes above-mentioned data collecting model to calculate the duration of each running status.The below has provided a kind of division methods of ATM running status, and is as shown in the table:

According to data collecting model can the various states of real-time statistics duration, declare following variable

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

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

T: the regulation business hours, be defaulted as unused time-on time poor of regulation ATM, generally dispose the site by Possum and determine, it then is 24 hours such as 24 self-help banks, market or overtimely be generally 8 hours, but when statistics duration less than 1 day the time, then be the statistics duration.

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

Cause that for non-artificial factor Possum can not externally serve, the application also creationary introduced to shut down adjust the factor, set manually the shutdown duration that special circumstances occur.Thus, the three elements that Homes Using TV is calculated in a period of time just possess:

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

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 embodiment:

Embodiment one:

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

Operation hours: ${\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">t</figure-callout>}}_{1,\mathrm{no}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})$

Equipment cash service time: $t_{2,\mathrm{no}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\left({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}\right)$

The equipment running time: $t_{3,\mathrm{no}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})$

Homes Using TV: ${\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">R</figure-callout>}}_{1,\mathrm{no}}={\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">t</figure-callout>}}_{1,\mathrm{no}/t_{3,\mathrm{no}}}*100\%=\frac{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})}{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%$

The cash service rate: $R_{2,\mathrm{no}}=t_{2,\mathrm{no}}/t_{3,\mathrm{no}}*100\%=\frac{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\left({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}\right)}{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%.$

Embodiment two:

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

Operation hours: ${\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">t</figure-callout>}}_{1,\mathrm{org}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})$

Equipment cash service time: $t_{2,\mathrm{org}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}\left({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}\right)$

The equipment running time: $t_{3,\mathrm{org}}=\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}\left(T_{\mathrm{day},\mathrm{no}-X_{\mathrm{day},\mathrm{no}}}\right)$

Homes Using TV: ${\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">R</figure-callout>}}_{1,\mathrm{org}}={\mathrm{<figure-callout\; id="1"\; label="t"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">t</figure-callout>}}_{1,\mathrm{org}}/t_{3,\mathrm{org}}*100\%=\frac{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}+T_{2,\mathrm{day},\mathrm{no}})}{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%$

The cash service rate: $R_{2,\mathrm{org}}=t_{2,\mathrm{org}}/t_{3,\mathrm{org}}*100\%=\frac{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}\left({\mathrm{<figure-callout\; id="1"\; label="T"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">T</figure-callout>}}_{1,\mathrm{day},\mathrm{no}}\right)}{\underset{\mathrm{<figure-callout\; id="1"\; label="day"\; filenames="HDA00003370447900012.png"\; state="\{\{state\}\}">day</figure-callout>}1}{\overset{\mathrm{day}2}{\mathrm{\&Sigma;}}}\underset{\mathrm{no}}{\mathrm{\&Sigma;}}(T_{\mathrm{day},\mathrm{no}}-X_{\mathrm{day},\mathrm{no}})}*100\%.$

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

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

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

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

Further, the running status of the ATM in the 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 the described statistical module, except the duration according to running status, also need to adjust the factor in conjunction with shutting down.

Further, the data collecting model in the described MBM is:

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

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

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

S appears in the corresponding time period _{I (i 〉=1)}The state variation number of times is count (S _i);

Within the corresponding time period the j time S appears _iState variation is M constantly _j(S _i)

Keep S in the corresponding time period _iThe state duration is T (S _i)

The j time S within the corresponding time period _iIt is T that state keeps duration _j(S _i).

In sum, the ATM running status statistical method based on comprehensive Homes Using TV of the present invention is set up the data collecting model of ATM; Then, according to predefined standard the running status of ATM is divided into severally, and utilizes above-mentioned data collecting model to calculate the duration of each running status; At last, according to the duration of above-mentioned running status, calculate comprehensive Homes Using TV, finish the statistics of ATM running status.Each state of its maintenance data collection model statistics equipment working time, thus science is efficient, calculate accurately the comprehensive Homes Using TV of ATM, the requirement of various indexs is added up in the algorithm support, adds up examination from the multi-angle of ATM operation, thereby avoids only relying on single Homes Using TV index; Simultaneously, the real-time statistics needs have been satisfied, accurately the overall target of the real-time various time dimensions of statistics.

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

Claims (8)

1. the ATM running status statistical method based on comprehensive Homes Using TV is characterized in that, may further comprise the steps:

S1, set up the data collecting model of ATM;

S2, according to predefined standard the running status of ATM is divided into severally, and utilizes above-mentioned data collecting model to calculate the duration of each running status;

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

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 among the described step S2 comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time.

3. the ATM running status statistical method based on comprehensive Homes Using TV according to claim 1 and 2 is characterized in that, calculates described comprehensive Homes Using TV among the described step S3, except the duration according to running status, also needs to adjust the factor in conjunction with shutting down.

4. the ATM running status statistical method based on comprehensive Homes Using TV according to claim 1 is characterized in that, the data collecting model among the described step S1 is:

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

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

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

S appears in the corresponding time period _{I (i 〉=1)}The state variation number of times is count (S _i);

Within the corresponding time period the j time S appears _iState variation is M constantly _j(S _i)

Keep S in the corresponding time period _iThe state duration is T (S _i)

The j time S within the corresponding time period _iIt is T that state keeps duration _j(S _i).

5. the ATM running status statistical system based on comprehensive Homes Using TV is characterized in that, comprising:

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

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

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

6. the ATM running status statistical system based on comprehensive Homes Using TV according to claim 5; it is characterized in that, the running status of the ATM in the described duration calculation module comprises: operation hours, equipment cash service time, the stop time of maintenance, downtime and off-line stop time.

7. the ATM running status statistical system based on comprehensive Homes Using TV according to claim 5 is characterized in that, calculates described comprehensive Homes Using TV in the described statistical module, except the duration according to running status, also needs to adjust the factor in conjunction with shutting down.

8. the ATM running status statistical method based on comprehensive Homes Using TV according to claim 5 is characterized in that, the data collecting model in the described MBM is:

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

T _j(S _i)＝M _m(S _n)-M _j(S _i)；

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

S appears in the corresponding time period _{I (i 〉=1)}The state variation number of times is count (S _i);

Within the corresponding time period the j time S appears _iState variation is M constantly _j(S _i)

Keep S in the corresponding time period _iThe state duration is T (S _i)

The j time S within the corresponding time period _iIt is T that state keeps duration _j(S _i).

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