CN106358071A - Maintenance system for interactive television system with digital video recording and adjustable reminder - Google Patents

Abstract

The invention provides a maintenance system for interactive television system with digital video recording and adjustable reminder. The maintenance system comprises an interactive television system and a maintenance strategy acquisition system, wherein the maintenance strategy acquisition system comprises a data acquisition module, a data preprocessing module, a risk determination module, a maintenance strategy generation module, wherein the interactive television system comprises a device for receiving user's selection of a television program of interest, wherein the television program has a scheduled broadcast time; an user monitoring device, that is used to determine whether the user has viewed the selected television program of interest at the scheduled broadcast time; a recording device, that is used for if the monitored device determines that the user has not viewed the selected television program of interest at the scheduled broadcast time, then providing the selected television program of interest after the scheduled broadcast time. The advantageous effect of the system is in that the user can select the television program of interest.

Description

A kind of interactive TV system dimension with digital video record and adjustable reminders Repair system

Technical field

Interactive TV system field of the present invention is and in particular to a kind of have digital video record and adjustable reminders Interactive TV system maintenance system.

Background technology

In typical interactive TV system, user has Set Top Box or other devices, user in their family Interacted with them using remote control or other user interface.The videograph performance of interactive TV system can be used To allow user to rearrange program viewing and program reminding, it is desirable that.When management base in interactive TV system When the storage of network or local personal video recorder content, can collect and use relevant holding to some TV Festivals The desired information that purpose accesses, is also desired.

In interactive TV system maintenance technique, typically by being monitored to assembly, it is determined whether need repairing, formulate Maintenance policy in the not sequencing of assignment component maintenance and modular repair time range, be easily caused because of assembly dimension The delay repaiied leads to transformer fault.

Content of the invention

For solving the above problems, the present invention is intended to provide a kind of interaction with digital video record and adjustable reminders Formula television system maintenance system.

The purpose of the present invention employs the following technical solutions to realize:

A kind of interactive TV system maintenance system with digital video record and adjustable reminders, including interactive Television system and maintenance policy obtain system, and described maintenance policy obtains system and includes data acquisition module, data prediction mould Block, risk determining module, maintenance policy generation module, described interactive TV system, including for receiving TV interested The device that the user of program selects, wherein this TV programme have scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

The invention has the benefit that user can select the rendition list interested.

Brief description

Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to the following drawings Other accompanying drawings.

Fig. 1 the structural representation of present invention；

Fig. 2 is the structural representation that maintenance policy obtains system.

Reference:

Maintenance policy obtains system 1, data acquisition module 11, data preprocessing module 12, risk determining module 13, maintenance Policy generation module 14.

Specific embodiment

In conjunction with following application scenarios, the invention will be further described.

Application scenarios 1

Referring to Fig. 1, Fig. 2, one kind of an embodiment of this application scene has digital video record and adjustable carries Awake interactive TV system maintenance system, obtains system, described maintenance policy including interactive TV system and maintenance policy Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described friendship Mutually formula television system, the device selecting including the user for receiving TV programme interested, wherein this TV programme have Scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

Preferably, if described interactive TV system also includes determining user based on described by the device by monitoring Drawing broadcast time have viewed selected TV programme interested and then receives a request to record selected TV interested Program is used for the device watched after a while of user.

This preferred embodiment can save user time.

Preferably, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.

This preferred embodiment is easy to subsequently find program of interest.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp Ji sexual factor generates maintenance policy.

This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.

Preferably, described monitoring policy includes:

(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；

(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record Health status monitoring amount；

For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m₁, artificial health status prison It is measured as m₂, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein t is monitored for sensor When ambient temperature, t₀For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula Fixed:

$m=\mathrm{\ξ}\×\left\{\begin{array}{ccc}{m}_1,& if& \left|m_1-m_2\right|\≤c\\ m_2,& if& \left|m_1-m_2\right|>c\end{array}\right.$

In formula, c is the constant according to monitoring item reasonable error range set；

This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.

Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12:

When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status:

$n=1-e^{-\frac{m-l}{h-l}}$

When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,

$n=1-e^{-\frac{h-m}{h-l}}$

In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization Status monitoring amount, l is the health status monitoring amount lower limit of this monitoring item, and h is the health status monitoring amount upper limit of this monitoring item Value.

Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.

Preferably, the described degree of risk determining assembly, comprising:

(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for Health status monitoring index:

$s=\frac{{\σ}_{i=1}^k{n}_i{w}_i}{{\σ}_{i=1}^k{w}_i}$

In formula, s represents assembly health status monitoring index, n_iFor i-th monitoring item health status monitoring amount, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor of significance level setting in assembly；

Set secure threshold t_s, t_s∈ [0.4,0.5], if health status monitoring index s are less than secure threshold t_s, then judge Health status monitoring index s are in exception；

(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment:

In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, It is the corrected parameter being produced according to practical application condition difference；

Wherein, the value of parameter a, b, d is determined by historical state data and historical failure rate data, particularly as follows:

If equipment inner assembly number is l, certain assembly z_jIn certain time period t_jThe number of times inside breaking down is f_j, it is corresponding Health status monitoring index is s_j, by the health status monitoring index s of multiple assemblies_jWith the number of times f breaking down_jCollect, The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by:

$s^{\′}=\frac{{\σ}_{j=1}^l{s}_j}{l}$

$r=\frac{{\σ}_{j=1}^l\frac{f_j}{t_j}}{l}$

By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus Determine the value of parameter a, b, d；

(3) failure rate model repaired according to equipment, tries to achieve degree of risk x of each assembly_j:

$x_j=r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& \stackrel{\&overbar;}{s_j},& \mathrm{...},& s_l\end{array}\right)-r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& s_j,& \mathrm{...},& s_l\end{array}\right)$

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) each assembly monitoring index of expression be s₁..., s_j..., s_lWhen power system can repair fault rate.

This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective See and reliable.

Preferably, described combination maintainability and economic factors generate maintenance policy, comprising:

(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan Slightly desired parameters include: maintenance difficulty m when each monitoring item abnormal for each assembly_jiWith maintenance economic value e_ji, the wind of assembly Dangerous degree x_j, described maintenance difficulty m_jiWith maintenance economic value e_jiShared weight w (x_j)、w(m_ji)、w(e_ji), wherein said dimension Repair economic value e_jThe ratio being worth with assembly for maintenance cost；

(2) setting determines assembly to be repaired as d according to abnormal health status monitoring index_j, j=1 ..., l_d, l_dFor waiting to tie up Repair the number of assembly, according to assembly d to be repaired_jEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty m_ji With maintenance economic value e_ji, calculate comprehensive maintenance difficulty m of assembly to be repaired_ji' and comprehensive maintenance economic value e_jj':

${e_{ji}}^{,}=\underset{i}{\overset{k}{\σ}}{e}_{ji}$

(3) calculate the maintenance tendency degree of each assembly to be repaired

Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired Corresponding comprehensive maintenance difficulty m_ji' determine corresponding maintenance program, thus generating the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect Hold the concordance of judge.

In this application scenarios, set secure threshold t_s=0.4, the exception of health status monitoring index passes judgment on precision relatively Improve 10%, the reliability of equipment improves 12% relatively.

Application scenarios 2

Referring to Fig. 1, Fig. 2, one kind of an embodiment of this application scene has digital video record and adjustable carries Awake interactive TV system maintenance system, obtains system, described maintenance policy including interactive TV system and maintenance policy Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described friendship Mutually formula television system, the device selecting including the user for receiving TV programme interested, wherein this TV programme have Scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

Preferably, if described interactive TV system also includes determining user based on described by the device by monitoring Drawing broadcast time have viewed selected TV programme interested and then receives a request to record selected TV interested Program is used for the device watched after a while of user.

This preferred embodiment can save user time.

Preferably, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.

This preferred embodiment is easy to subsequently find program of interest.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp Ji sexual factor generates maintenance policy.

This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.

Preferably, described monitoring policy includes:

(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；

(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record Health status monitoring amount；

For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m₁, artificial health status prison It is measured as m₂, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein t is monitored for sensor When ambient temperature, t₀For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula Fixed:

$m=\mathrm{\ξ}\×\left\{\begin{array}{ccc}{m}_1,& if& \left|m_1-m_2\right|\≤c\\ m_2,& if& \left|m_1-m_2\right|>c\end{array}\right.$

In formula, c is the constant according to monitoring item reasonable error range set；

This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.

Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12:

When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status:

$n=1-e^{-\frac{m-l}{h-l}}$

When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,

$n=1-e^{-\frac{h-m}{h-l}}$

In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization Status monitoring amount, l is the health status monitoring amount lower limit of this monitoring item, and h is the health status monitoring amount upper limit of this monitoring item Value.

Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.

Preferably, the described degree of risk determining assembly, comprising:

(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for Health status monitoring index:

$s=\frac{{\σ}_{i=1}^k{n}_i{w}_i}{{\σ}_{i=1}^k{w}_i}$

In formula, s represents assembly health status monitoring index, n_iFor i-th monitoring item health status monitoring amount, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor of significance level setting in assembly；

Set secure threshold t_s, t_s∈ [0.4,0.5], if health status monitoring index s are less than secure threshold t_s, then judge Health status monitoring index s are in exception；

(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment:

In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, It is the corrected parameter being produced according to practical application condition difference；

Wherein, the value of parameter a, b, d is determined by historical state data and historical failure rate data, particularly as follows:

If equipment inner assembly number is l, certain assembly z_jIn certain time period t_jThe number of times inside breaking down is f_j, it is corresponding Health status monitoring index is s_j, by the health status monitoring index s of multiple assemblies_jWith the number of times f breaking down_jCollect, The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by:

$s^{\′}=\frac{{\σ}_{j=1}^l{s}_j}{l}$

$r=\frac{{\σ}_{j=1}^l\frac{f_j}{t_j}}{l}$

By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus Determine the value of parameter a, b, d；

(3) failure rate model repaired according to equipment, tries to achieve degree of risk x of each assembly_j:

$x_j=r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& \stackrel{\&overbar;}{s_j},& \mathrm{...},& s_l\end{array}\right)-r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& s_j,& \mathrm{...},& s_l\end{array}\right)$

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) each assembly monitoring index of expression be s₁..., s_j..., s_lWhen power system can repair fault rate.

This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective See and reliable.

Preferably, described combination maintainability and economic factors generate maintenance policy, comprising:

(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan Slightly desired parameters include: maintenance difficulty m when each monitoring item abnormal for each assembly_jiWith maintenance economic value e_ji, the wind of assembly Dangerous degree x_j, described maintenance difficulty m_jiWith maintenance economic value e_jiShared weight w (x_j)、w(m_ji)、w(e_ji), wherein said dimension Repair economic value e_jThe ratio being worth with assembly for maintenance cost；

(2) setting determines assembly to be repaired as d according to abnormal health status monitoring index_j, j=1 ..., l_d, l_dFor waiting to tie up Repair the number of assembly, according to assembly d to be repaired_jEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty m_ji With maintenance economic value e_ji, calculate comprehensive maintenance difficulty m of assembly to be repaired_ji' and comprehensive maintenance economic value e_ji':

${e_{ji}}^{,}=\underset{i}{\overset{k}{\σ}}{e}_{ji}$

(3) calculate the maintenance tendency degree of each assembly to be repaired

Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired Corresponding comprehensive maintenance difficulty m_ji' determine corresponding maintenance program, thus generating the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect Hold the concordance of judge.

In this application scenarios, set secure threshold t_s=0.42, the exception of health status monitoring index passes judgment on precision phase To improve 9.5%, the reliability of equipment improves 11% relatively.

Application scenarios 3

Referring to Fig. 1, Fig. 2, one kind of an embodiment of this application scene has digital video record and adjustable carries Awake interactive TV system maintenance system, obtains system, described maintenance policy including interactive TV system and maintenance policy Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described friendship Mutually formula television system, the device selecting including the user for receiving TV programme interested, wherein this TV programme have Scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

Preferably, if described interactive TV system also includes determining user based on described by the device by monitoring Drawing broadcast time have viewed selected TV programme interested and then receives a request to record selected TV interested Program is used for the device watched after a while of user.

This preferred embodiment can save user time.

Preferably, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.

This preferred embodiment is easy to subsequently find program of interest.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp Ji sexual factor generates maintenance policy.

This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.

Preferably, described monitoring policy includes:

(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；

(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record Health status monitoring amount；

For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m₁, artificial health status prison It is measured as m₂, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein t is monitored for sensor When ambient temperature, t₀For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula Fixed:

$m=\mathrm{\ξ}\×\left\{\begin{array}{ccc}{m}_1,& if& \left|m_1-m_2\right|\≤c\\ m_2,& if& \left|m_1-m_2\right|>c\end{array}\right.$

In formula, c is the constant according to monitoring item reasonable error range set；

This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.

Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12:

When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status:

$n=1-e^{-\frac{m-l}{h-l}}$

When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,

$n=1-e^{-\frac{h-m}{h-l}}$

In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization Status monitoring amount, l is the health status monitoring amount lower limit of this monitoring item, and h is the health status monitoring amount upper limit of this monitoring item Value.

Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.

Preferably, the described degree of risk determining assembly, comprising:

(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for Health status monitoring index:

$s=\frac{{\σ}_{i=1}^k{n}_i{w}_i}{{\σ}_{i=1}^k{w}_i}$

In formula, s represents assembly health status monitoring index, n_iFor i-th monitoring item health status monitoring amount, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor of significance level setting in assembly；

Set secure threshold t_s, t_s∈ [0.4,0.5], if health status monitoring index s are less than secure threshold t_s, then judge Health status monitoring index s are in exception；

(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment:

In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, It is the corrected parameter being produced according to practical application condition difference；

Wherein, the value of parameter a, b, d is determined by historical state data and historical failure rate data, particularly as follows:

If equipment inner assembly number is l, certain assembly z_jIn certain time period t_jThe number of times inside breaking down is f_j, it is corresponding Health status monitoring index is s_j, by the health status monitoring index s of multiple assemblies_jWith the number of times f breaking down_jCollect, The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by:

$s^{\′}=\frac{{\σ}_{j=1}^l{s}_j}{l}$

$r=\frac{{\σ}_{j=1}^l\frac{f_j}{t_j}}{l}$

By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus Determine the value of parameter a, b, d；

(3) failure rate model repaired according to equipment, tries to achieve degree of risk x of each assembly_j:

$x_j=r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& \stackrel{\&overbar;}{s_j},& \mathrm{...},& s_l\end{array}\right)-r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& s_j,& \mathrm{...},& s_l\end{array}\right)$

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) each assembly monitoring index of expression be s₁..., s_j..., s_lWhen power system can repair fault rate.

This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective See and reliable.

Preferably, described combination maintainability and economic factors generate maintenance policy, comprising:

(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan Slightly desired parameters include: maintenance difficulty m when each monitoring item abnormal for each assembly_jiWith maintenance economic value e_ji, the wind of assembly Dangerous degree x_j, described maintenance difficulty m_jiWith maintenance economic value e_jiShared weight w (x_j)、w(m_ji)、w(e_ji), wherein said dimension Repair economic value e_jThe ratio being worth with assembly for maintenance cost；

(2) setting determines assembly to be repaired as d according to abnormal health status monitoring index_j, j=1 ..., l_d, l_dFor waiting to tie up Repair the number of assembly, according to assembly d to be repaired_jEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty m_ji With maintenance economic value e_ji, calculate comprehensive maintenance difficulty m of assembly to be repaired_ji' and comprehensive maintenance economic value e_ji':

${e_{ji}}^{,}=\underset{i}{\overset{k}{\σ}}{e}_{ji}$

(3) calculate the maintenance tendency degree of each assembly to be repaired

Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired Corresponding comprehensive maintenance difficulty m_ji' determine corresponding maintenance program, thus generating the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect Hold the concordance of judge.

In this application scenarios, set secure threshold t_s=0.45, the exception of health status monitoring index passes judgment on precision phase To improve 9.2%, the reliability of equipment improves 10% relatively.

Application scenarios 4

Referring to Fig. 1, Fig. 2, one kind of an embodiment of this application scene has digital video record and adjustable carries Awake interactive TV system maintenance system, obtains system, described maintenance policy including interactive TV system and maintenance policy Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described friendship Mutually formula television system, the device selecting including the user for receiving TV programme interested, wherein this TV programme have Scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

Preferably, if described interactive TV system also includes determining user based on described by the device by monitoring Drawing broadcast time have viewed selected TV programme interested and then receives a request to record selected TV interested Program is used for the device watched after a while of user.

This preferred embodiment can save user time.

Preferably, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.

This preferred embodiment is easy to subsequently find program of interest.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp Ji sexual factor generates maintenance policy.

This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.

Preferably, described monitoring policy includes:

(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；

(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record Health status monitoring amount；

For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m₁, artificial health status prison It is measured as m₂, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein t is monitored for sensor When ambient temperature, t₀For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula Fixed:

$m=\mathrm{\ξ}\×\left\{\begin{array}{ccc}{m}_1,& if& \left|m_1-m_2\right|\≤c\\ m_2,& if& \left|m_1-m_2\right|>c\end{array}\right.$

In formula, c is the constant according to monitoring item reasonable error range set；

This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.

Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12:

When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status:

$n=1-e^{-\frac{m-l}{h-l}}$

When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,

$n=1-e^{-\frac{h-m}{h-l}}$

In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization Status monitoring amount, l is the health status monitoring amount lower limit of this monitoring item, and h is the health status monitoring amount upper limit of this monitoring item Value.

Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.

Preferably, the described degree of risk determining assembly, comprising:

(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for Health status monitoring index:

$s=\frac{{\σ}_{i=1}^k{n}_i{w}_i}{{\σ}_{i=1}^k{w}_i}$

In formula, s represents assembly health status monitoring index, n_iFor i-th monitoring item health status monitoring amount, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor of significance level setting in assembly；

Set secure threshold t_s, t_s∈ [0.4,0.5], if health status monitoring index s are less than secure threshold t_s, then judge Health status monitoring index s are in exception；

(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment:

In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, It is the corrected parameter being produced according to practical application condition difference；

Wherein, the value of parameter a, b, d is determined by historical state data and historical failure rate data, particularly as follows:

If equipment inner assembly number is l, certain assembly z_jIn certain time period t_jThe number of times inside breaking down is f_j, it is corresponding Health status monitoring index is s_j, by the health status monitoring index s of multiple assemblies_jWith the number of times f breaking down_jCollect, The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by:

$s^{\′}=\frac{{\σ}_{j=1}^l{s}_j}{l}$

$r=\frac{{\σ}_{j=1}^l\frac{f_j}{t_j}}{l}$

By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus Determine the value of parameter a, b, d；

(3) failure rate model repaired according to equipment, tries to achieve degree of risk x of each assembly_j:

$x_j=r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& \stackrel{\&overbar;}{s_j},& \mathrm{...},& s_l\end{array}\right)-r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& s_j,& \mathrm{...},& s_l\end{array}\right)$

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) each assembly monitoring index of expression be s₁..., s_j..., s_lWhen power system can repair fault rate.

This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective See and reliable.

Preferably, described combination maintainability and economic factors generate maintenance policy, comprising:

(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan Slightly desired parameters include: maintenance difficulty m when each monitoring item abnormal for each assembly_jiWith maintenance economic value e_ji, the wind of assembly Dangerous degree x_j, described maintenance difficulty m_jiWith maintenance economic value e_jiShared weight w (x_j)、w(m_ji)、w(e_ji), wherein said dimension Repair economic value e_jThe ratio being worth with assembly for maintenance cost；

(2) setting determines assembly to be repaired as d according to abnormal health status monitoring index_j, j=1 ..., l_d, l_dFor waiting to tie up Repair the number of assembly, according to assembly d to be repaired_jEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty m_ji With maintenance economic value e_ji, calculate comprehensive maintenance difficulty m of assembly to be repaired_ji' and comprehensive maintenance economic value e_ji':

${e_{ji}}^{,}=\underset{i}{\overset{k}{\σ}}{e}_{ji}$

(3) calculate the maintenance tendency degree of each assembly to be repaired

Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired Corresponding comprehensive maintenance difficulty m_ji' determine corresponding maintenance program, thus generating the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect Hold the concordance of judge.

In this application scenarios, set secure threshold t_s=0.48, the exception of health status monitoring index passes judgment on precision phase To improve 9%, the reliability of equipment improves 9% relatively.

Application scenarios 5

Referring to Fig. 1, Fig. 2, one kind of an embodiment of this application scene has digital video record and adjustable carries Awake interactive TV system maintenance system, obtains system, described maintenance policy including interactive TV system and maintenance policy Acquisition system includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described friendship Mutually formula television system, the device selecting including the user for receiving TV programme interested, wherein this TV programme have Scheduled broadcast time；

Selected interested to determine whether user watches in described scheduled broadcast time for monitoring user's set TV Festival destination device；

If determining that user is not emerging in the selected sense of described scheduled broadcast time viewing for the device for monitoring The TV programme of interest then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

Preferably, if described interactive TV system also includes determining user based on described by the device by monitoring Drawing broadcast time have viewed selected TV programme interested and then receives a request to record selected TV interested Program is used for the device watched after a while of user.

This preferred embodiment can save user time.

Preferably, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.

This preferred embodiment is easy to subsequently find program of interest.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module 11, data preprocessing module 12, risk Determining module 13, maintenance policy generation module 14；Described data acquisition module 11 is used for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is used for being normalized pretreatment to Monitoring Data；Described risk determining module 13 is used for determining The degree of risk of assembly；Described maintenance policy generation module 14 is used for the degree of risk according to assembly, in conjunction with maintainability and warp Ji sexual factor generates maintenance policy.

This preferred embodiment constructs the module architectures that maintenance policy obtains system 1.

Preferably, described monitoring policy includes:

(1) determine the monitoring item in each assembly, and monitoring item is divided into general monitoring item and crucial monitoring item；

(2) for general monitoring item, using wireless sensor network, the health status of monitoring item are monitored and record Health status monitoring amount；

For crucial monitoring item, to monitoring item by the way of radio sensor network monitoring and personal monitoring combine Health status are monitored, if the wireless senser health status monitoring amount of certain key monitoring item is m₁, artificial health status prison It is measured as m₂, due to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not being subject to temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein t is monitored for sensor When ambient temperature, t₀For the standard temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m is true using following formula Fixed:

$m=\mathrm{\ξ}\×\left\{\begin{array}{ccc}{m}_1,& if& \left|m_1-m_2\right|\≤c\\ m_2,& if& \left|m_1-m_2\right|>c\end{array}\right.$

In formula, c is the constant according to monitoring item reasonable error range set；

This preferred embodiment is divided into general monitoring item and crucial monitoring item by monitoring item, and carries out in different ways Monitoring, had both saved monitoring cost, had obtained monitoring result with a high credibility again.

Preferably, health status monitoring amount normalization is expressed as by described data preprocessing module 12:

When being in when health status monitoring amount reaches maximum the best situation of corresponding monitoring item health status:

$n=1-e^{-\frac{m-l}{h-l}}$

When being in when health status monitoring amount reaches minimum the best situation of corresponding monitoring item health status,

$n=1-e^{-\frac{h-m}{h-l}}$

In formula, m represents the original health monitoring variable of a certain monitoring item, and n represents the health after this monitoring item normalization Status monitoring amount, l is the health status monitoring amount lower limit of this monitoring item, and h is the health status monitoring amount upper limit of this monitoring item Value.

Because the monitoring meanss that different monitoring projects is taken are different, the order of magnitude of the monitoring result obtaining is different, single Position is also different, and this preferred embodiment is normalized to health status monitoring amount, conveniently carries out comprehensive assessment to assembly.

Preferably, the described degree of risk determining assembly, comprising:

(1) by the health status monitoring amount weighted average after various Monitoring Data normalization of originating, obtain assembly and be good for Health status monitoring index:

$s=\frac{{\σ}_{i=1}^k{n}_i{w}_i}{{\σ}_{i=1}^k{w}_i}$

In formula, s represents assembly health status monitoring index, n_iFor i-th monitoring item health status monitoring amount, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor of significance level setting in assembly；

Set secure threshold t_s, t_s∈ [0.4,0.5], if health status monitoring index s are less than secure threshold t_s, then judge Health status monitoring index s are in exception；

(2) utilize history state of health data and historical failure rate data, set up the failure rate model repaired of equipment:

In formula, r can repair fault rate for equipment, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, It is the corrected parameter being produced according to practical application condition difference；

Wherein, the value of parameter a, b, d is determined by historical state data and historical failure rate data, particularly as follows:

If equipment inner assembly number is l, certain assembly z_jIn certain time period t_jThe number of times inside breaking down is f_j, it is corresponding Health status monitoring index is s_j, by the health status monitoring index s of multiple assemblies_jWith the number of times f breaking down_jCollect, The then overall health status monitoring index of equipment and fault rate computing formula can be repaired be represented by:

$s^{\′}=\frac{{\σ}_{j=1}^l{s}_j}{l}$

$r=\frac{{\σ}_{j=1}^l\frac{f_j}{t_j}}{l}$

By the above-mentioned health status monitoring index and failure rate model repaired that fault rate iteration enters equipment can be repaired, thus Determine the value of parameter a, b, d；

(3) failure rate model repaired according to equipment, tries to achieve degree of risk x of each assembly_j:

$x_j=r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& \stackrel{\&overbar;}{s_j},& \mathrm{...},& s_l\end{array}\right)-r\left(\begin{array}{ccccc}{s}_1,& \mathrm{...},& s_j,& \mathrm{...},& s_l\end{array}\right)$

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) each assembly monitoring index of expression be s₁..., s_j..., s_lWhen power system can repair fault rate.

This preferred embodiment sets up the failure rate model repaired of assembly health status monitoring index and power system, from And determine the degree of risk of each assembly, be capable of more science weighs the impact journey that component failure produces to equipment dependability Degree, thus being conducive to entering row major maintenance for the big faulty components of influence degree, saves maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact to equipment dependability for the component failures, make maintenance policy more objective See and reliable.

Preferably, described combination maintainability and economic factors generate maintenance policy, comprising:

(1) it is stored in data base by the predetermined maintenance policy desired parameters of expert group and by this parameter, described maintenance plan Slightly desired parameters include: maintenance difficulty m when each monitoring item abnormal for each assembly_jiWith maintenance economic value e_ji, the wind of assembly Dangerous degree x_j, described maintenance difficulty m_jiWith maintenance economic value e_jiShared weight w (x_j)、w(m_ji)、w(e_ji), wherein said dimension Repair economic value e_jThe ratio being worth with assembly for maintenance cost；

(2) setting determines assembly to be repaired as d according to abnormal health status monitoring index_j, j=1 ..., l_d, l_dFor waiting to tie up Repair the number of assembly, according to assembly d to be repaired_jEach exception monitoring item i (i=1,2 ..., k) transfer corresponding maintenance difficulty m_ji With maintenance economic value e_ji, calculate comprehensive maintenance difficulty m of assembly to be repaired_ji' and comprehensive maintenance economic value e_ji':

${e_{ji}}^{,}=\underset{i}{\overset{k}{\σ}}{e}_{ji}$

(3) calculate the maintenance tendency degree of each assembly to be repaired

Maintenance tendency degree to each assembly to be repairedSorted from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance larger maintenance tendency degreeCorresponding assembly to be repaired；In addition, according to assembly to be repaired Corresponding comprehensive maintenance difficulty m_ji' determine corresponding maintenance program, thus generating the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simple, the generation of maintenance policy Consider the maintainability in addition to degree of risk and economic factors, increased objectivity and the reliability of maintenance policy formulation, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve work efficiency, and preferably protect Hold the concordance of judge.

In this application scenarios, set secure threshold t_s=0.5, the exception of health status monitoring index passes judgment on precision relatively Improve 8.5%, the reliability of equipment improves 8% relatively.

Finally it should be noted that above example is only in order to illustrating technical scheme, rather than the present invention is protected The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (3)

1. a kind of interactive TV system maintenance system with digital video record and adjustable reminders, is characterized in that, bag Include interactive TV system and maintenance policy obtains system, described maintenance policy obtains system and includes data acquisition module, data Pretreatment module, risk determining module, maintenance policy generation module, described interactive TV system, including emerging for receiving sense The device that the user of the TV programme of interest selects, wherein this TV programme have scheduled broadcast time；

For monitoring user's set to determine whether user watches selected TV interested in described scheduled broadcast time Section destination device；

If it is selected interested to determine that user does not watch in described scheduled broadcast time for the device for monitoring TV programme then provide the device of the record of selected TV programme interested after described scheduled broadcast time.

2. a kind of interactive TV system dimension with digital video record and adjustable reminders according to claim 1 Repair system, it is characterized in that, if described interactive TV system also includes determining user described for the device for monitoring Scheduled broadcast time have viewed selected TV programme interested and then receives a request to record selected electricity interested It is used for the device watched after a while of user depending on program.

3. a kind of interactive TV system dimension with digital video record and adjustable reminders according to claim 2 Repair system, it is characterized in that, the device for providing the record of TV programme includes: for interested using video recorder records TV Festival destination device；

For allowing user in the section destination device of later time viewing record.