CN106158519A - A kind of intelligent moulded case circuit breaker maintenance system - Google Patents

Abstract

The invention provides a kind of intelligent moulded case circuit breaker maintenance system, including intelligent moulded case circuit breaker and maintenance policy obtain system, described maintenance policy obtains system and includes data acquisition module, data preprocessing module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, breaker of plastic casing body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, is provided with the first communication interface socket just arranging the breach on sidewall in upper cover.The structure of the present invention more compact and reasonable, the scope of application is wider, it is simple to client chooses.

Description

A kind of intelligent moulded case circuit breaker maintenance system

Technical field

Field of circuit breakers of the present invention, is specifically related to a kind of intelligent moulded case circuit breaker maintenance system.

Background technology

Current intelligent breaker, is all to use external protocol converter to carry out protocol conversion, and its shortcoming is to connect up relatively For trouble, produce additionally due to intelligent breaker and protocol converter are substantially different manufacturers, each other not relatively Good uniformity, the performance parameter of the intelligent breaker of such as different manufacturers and difference is set, and the association of different manufacturers The view performance of converter and price also differ relatively big, cause client to be difficult to find comparison to be suitable for the breaker that oneself uses and supporting Protocol converter, cause in last cost and performance always unsatisfactory.

In breaker maintenance technique, typically by assembly is monitored, it is determined whether need repairing, the maintenance plan of formulation Do not have the sequencing of assignment component maintenance and the time range of modular repair in slightly, be easily caused the delay because of modular repair Cause transformer fault.

Content of the invention

For solving the problems referred to above, it is desirable to provide a kind of intelligent moulded case circuit breaker maintenance system.

The purpose of the present invention realizes by the following technical solutions:

A kind of intelligent moulded case circuit breaker maintenance system, including intelligent moulded case circuit breaker and maintenance policy obtain system, described Maintenance policy obtains system and includes that data acquisition module, data preprocessing module, risk determining module, maintenance policy generate mould Block, described intelligent moulded case circuit breaker, including breaker of plastic casing body, breaker of plastic casing body includes base and upper cover, upper cover bag Include panel and sidewall；Panel is provided with the breach being connected with sidewall, is provided with first just arranging the breach on sidewall and leads in upper cover Letter interface socket.

The invention have the benefit that structure more compact and reasonable, the scope of application is wider, it is simple to client chooses.

Brief description

The invention will be further described to utilize accompanying drawing, 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 drawing.

The structural representation of Fig. 1 present invention；

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

Reference:

Maintenance policy obtains system the 1st, data acquisition module the 11st, data preprocessing module the 12nd, risk determining module and the 13rd, keeps in repair Policy generation module 14.

Detailed description of the invention

The invention will be further described to be combined to lower application scenarios.

Application scenarios 1

See Fig. 1, Fig. 2, a kind of intelligent moulded case circuit breaker maintenance system of an embodiment of this application scene, including intelligence Energy breaker of plastic casing and maintenance policy obtain system, and described maintenance policy obtains system and includes that data acquisition module, data are located in advance Reason module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, mould Case circuit breaker body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, in upper cover It is provided with the first communication interface the socket just breach on sidewall being set.

Preferably, described intelligent moulded case circuit breaker also includes communication protocols converter；Communication protocols converter housing interior Side is positioned inside upper cover, and is provided with the first communication interface plug matching with the first communication interface socket, its hull outside End is provided with the second communication interface socket；Communication protocols converter is positioned in described breach；Upper cover sidewall is at the wall of its breach both sides Being respectively provided with a guide runner on body, communication protocols converter housing is just being respectively provided with a guiding to the two side ends of guide runner The cooperation of chute, guide chute and guide runner guides so that communication protocols converter housing is along being perpendicular in upper cover be provided with The direction of the sidewall of breach moves back and forth.

This preferred embodiment scope of application is wider, it is simple to client chooses.

Preferably, the outboard end of described communication protocols converter housing stretches out upper cover sidewall.

This preferred embodiment is installed convenient, compact conformation.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module the 11st, data preprocessing module the 12nd, risk Determining module the 13rd, maintenance policy generation module 14；Described data acquisition module 11 is for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is 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 for the degree of risk according to assembly, in conjunction with maintenanceability 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, wireless sensor network is used to be monitored the health status of monitoring item record Health status monitoring amount；

Item is monitored for key, uses the mode that radio sensor network monitoring and personal monitoring combine to monitoring item Health status is monitored, if the wireless senser health status monitoring amount of certain crucial monitoring item is m₁, artificial health status is supervised It is measured as m₂, owing to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not by temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is that sensor is monitored When environment temperature, T₀For the normal temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m uses following formula true Fixed:

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

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

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

Preferably, the normalization of health status monitoring amount 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 represent a certain monitoring item original health monitoring variable, n represent this monitoring item normalization after health 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.

The monitoring means taked by different monitoring projects is different, and the order of magnitude of the monitoring result obtaining is different, single Position is also different, and health status monitoring amount is normalized by this preferred embodiment, conveniently carries out comprehensive assessment to assembly.

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

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

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

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

Set secure threshold T_s, T_s∈ [0.4,0.5], if health status monitoring index s is less than secure threshold T_s, then judge Health status monitoring index s is 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 is that equipment can repair fault rate, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,For The corrected parameter producing according to actual application conditions 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_jAt 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:

$s^{\′}=\frac{{\mathrm{\Σ}}_{j=1}^l{s}_j}{l}$

$r=\frac{{\mathrm{\Σ}}_{j=1}^l\frac{f_j}{T_j}}{l}$

By above-mentioned health status monitoring index and the 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:

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

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) represent that each assemblies monitor index is 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, can more science weigh component failure affect journey to what equipment dependability produced Degree, thus be conducive to entering row major maintenance for the big faulty components of influence degree, save maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact on equipment dependability for the component failures, make maintenance policy more objective See and reliable.

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

(1) predefine maintenance policy desired parameters by expert group and this parameter is stored in database, described maintenance plan Slightly desired parameters includes: maintenance difficulty M when each monitoring item occurs abnormal for each assembly_JiWith maintenance economic value E_Ji, the wind of assembly Danger 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) set and determine 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' with comprehensive maintenance economic value E_Ji':

${E_{Ji}}^{,}=\underset{i}{\overset{k}{\Σ}}{E}_{Ji}$

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

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

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

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

Application scenarios 2

See Fig. 1, Fig. 2, a kind of intelligent moulded case circuit breaker maintenance system of an embodiment of this application scene, including intelligence Energy breaker of plastic casing and maintenance policy obtain system, and described maintenance policy obtains system and includes that data acquisition module, data are located in advance Reason module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, mould Case circuit breaker body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, in upper cover It is provided with the first communication interface the socket just breach on sidewall being set.

Preferably, described intelligent moulded case circuit breaker also includes communication protocols converter；Communication protocols converter housing interior Side is positioned inside upper cover, and is provided with the first communication interface plug matching with the first communication interface socket, its hull outside End is provided with the second communication interface socket；Communication protocols converter is positioned in described breach；Upper cover sidewall is at the wall of its breach both sides Being respectively provided with a guide runner on body, communication protocols converter housing is just being respectively provided with a guiding to the two side ends of guide runner The cooperation of chute, guide chute and guide runner guides so that communication protocols converter housing is along being perpendicular in upper cover be provided with The direction of the sidewall of breach moves back and forth.

This preferred embodiment scope of application is wider, it is simple to client chooses.

Preferably, the outboard end of described communication protocols converter housing stretches out upper cover sidewall.

This preferred embodiment is installed convenient, compact conformation.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module the 11st, data preprocessing module the 12nd, risk Determining module the 13rd, maintenance policy generation module 14；Described data acquisition module 11 is for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is 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 for the degree of risk according to assembly, in conjunction with maintenanceability 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, wireless sensor network is used to be monitored the health status of monitoring item record Health status monitoring amount；

Item is monitored for key, uses the mode that radio sensor network monitoring and personal monitoring combine to monitoring item Health status is monitored, if the wireless senser health status monitoring amount of certain crucial monitoring item is m₁, artificial health status is supervised It is measured as m₂, owing to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not by temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is that sensor is monitored When environment temperature, T₀For the normal temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m uses following formula true Fixed:

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

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

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

Preferably, the normalization of health status monitoring amount 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 represent a certain monitoring item original health monitoring variable, n represent this monitoring item normalization after health 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.

The monitoring means taked by different monitoring projects is different, and the order of magnitude of the monitoring result obtaining is different, single Position is also different, and health status monitoring amount is normalized by this preferred embodiment, conveniently carries out comprehensive assessment to assembly.

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

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

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

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

Set secure threshold T_s, T_s∈ [0.4,0.5], if health status monitoring index s is less than secure threshold T_s, then judge Health status monitoring index s is 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 is that equipment can repair fault rate, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, For the corrected parameter producing according to actual application conditions 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_jAt 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:

$s^{\′}=\frac{{\mathrm{\Σ}}_{j=1}^l{s}_j}{l}$

$r=\frac{{\mathrm{\Σ}}_{j=1}^l\frac{f_j}{T_j}}{l}$

By above-mentioned health status monitoring index and the 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:

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

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) represent that each assemblies monitor index is 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, can more science weigh component failure affect journey to what equipment dependability produced Degree, thus be conducive to entering row major maintenance for the big faulty components of influence degree, save maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact on equipment dependability for the component failures, make maintenance policy more objective See and reliable.

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

(1) predefine maintenance policy desired parameters by expert group and this parameter is stored in database, described maintenance plan Slightly desired parameters includes: maintenance difficulty M when each monitoring item occurs abnormal for each assembly_JiWith maintenance economic value E_Ji, the wind of assembly Danger 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) set and determine 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' with comprehensive maintenance economic value E_Ji':

${E_{Ji}}^{,}=\underset{i}{\overset{k}{\Σ}}{E}_{Ji}$

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

Maintenance tendency degree to each assembly to be repairedSort from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance bigger 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 generate the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simply, the generation of maintenance policy Consider the maintenanceability in addition to degree of risk and economic factors, add objectivity and the reliability that maintenance policy is formulated, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve operating efficiency, and preferably protect Hold the uniformity 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

See Fig. 1, Fig. 2, a kind of intelligent moulded case circuit breaker maintenance system of an embodiment of this application scene, including intelligence Energy breaker of plastic casing and maintenance policy obtain system, and described maintenance policy obtains system and includes that data acquisition module, data are located in advance Reason module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, mould Case circuit breaker body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, in upper cover It is provided with the first communication interface the socket just breach on sidewall being set.

Preferably, described intelligent moulded case circuit breaker also includes communication protocols converter；Communication protocols converter housing interior Side is positioned inside upper cover, and is provided with the first communication interface plug matching with the first communication interface socket, its hull outside End is provided with the second communication interface socket；Communication protocols converter is positioned in described breach；Upper cover sidewall is at the wall of its breach both sides Being respectively provided with a guide runner on body, communication protocols converter housing is just being respectively provided with a guiding to the two side ends of guide runner The cooperation of chute, guide chute and guide runner guides so that communication protocols converter housing is along being perpendicular in upper cover be provided with The direction of the sidewall of breach moves back and forth.

This preferred embodiment scope of application is wider, it is simple to client chooses.

Preferably, the outboard end of described communication protocols converter housing stretches out upper cover sidewall.

This preferred embodiment is installed convenient, compact conformation.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module the 11st, data preprocessing module the 12nd, risk Determining module the 13rd, maintenance policy generation module 14；Described data acquisition module 11 is for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is 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 for the degree of risk according to assembly, in conjunction with maintenanceability 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, wireless sensor network is used to be monitored the health status of monitoring item record Health status monitoring amount；

Item is monitored for key, uses the mode that radio sensor network monitoring and personal monitoring combine to monitoring item Health status is monitored, if the wireless senser health status monitoring amount of certain crucial monitoring item is m₁, artificial health status is supervised It is measured as m₂, owing to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not by temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is that sensor is monitored When environment temperature, T₀For the normal temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m uses following formula true Fixed:

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

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

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

Preferably, the normalization of health status monitoring amount 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 represent a certain monitoring item original health monitoring variable, n represent this monitoring item normalization after health 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.

The monitoring means taked by different monitoring projects is different, and the order of magnitude of the monitoring result obtaining is different, single Position is also different, and health status monitoring amount is normalized by this preferred embodiment, conveniently carries out comprehensive assessment to assembly.

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

(1) by the health status monitoring amount weighted average after Monitoring Data normalization various for source, 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_iIt is the health status monitoring amount of i-th monitoring item, i=1, 2 ..., k, w_iAccording to each health status monitoring amount n_iThe weight factor that significance level in assembly is arranged；

Set secure threshold T_s, T_s∈ [0.4,0.5], if health status monitoring index s is less than secure threshold T_s, then judge Health status monitoring index s is 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 is that equipment can repair fault rate, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, For the corrected parameter producing according to actual application conditions 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_jAt certain time period T_jThe number of times inside breaking down is j_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 above-mentioned health status monitoring index and the 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:

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

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) represent that each assemblies monitor index is 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, can more science weigh component failure affect journey to what equipment dependability produced Degree, thus be conducive to entering row major maintenance for the big faulty components of influence degree, save maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact on equipment dependability for the component failures, make maintenance policy more objective See and reliable.

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

(1) predefine maintenance policy desired parameters by expert group and this parameter is stored in database, described maintenance plan Slightly desired parameters includes: maintenance difficulty M when each monitoring item occurs abnormal for each assembly_JiWith maintenance economic value E_Ji, the wind of assembly Danger 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) set and determine 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' with comprehensive maintenance economic value E_Ji':

${E_{Ji}}^{,}=\underset{i}{\overset{k}{\Σ}}{E}_{Ji}$

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

Maintenance tendency degree to each assembly to be repairedSort from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance bigger 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 generate the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simply, the generation of maintenance policy Consider the maintenanceability in addition to degree of risk and economic factors, add objectivity and the reliability that maintenance policy is formulated, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve operating efficiency, and preferably protect Hold the uniformity 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

See Fig. 1, Fig. 2, a kind of intelligent moulded case circuit breaker maintenance system of an embodiment of this application scene, including intelligence Energy breaker of plastic casing and maintenance policy obtain system, and described maintenance policy obtains system and includes that data acquisition module, data are located in advance Reason module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, mould Case circuit breaker body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, in upper cover It is provided with the first communication interface the socket just breach on sidewall being set.

Preferably, described intelligent moulded case circuit breaker also includes communication protocols converter；Communication protocols converter housing interior Side is positioned inside upper cover, and is provided with the first communication interface plug matching with the first communication interface socket, its hull outside End is provided with the second communication interface socket；Communication protocols converter is positioned in described breach；Upper cover sidewall is at the wall of its breach both sides Being respectively provided with a guide runner on body, communication protocols converter housing is just being respectively provided with a guiding to the two side ends of guide runner The cooperation of chute, guide chute and guide runner guides so that communication protocols converter housing is along being perpendicular in upper cover be provided with The direction of the sidewall of breach moves back and forth.

This preferred embodiment scope of application is wider, it is simple to client chooses.

Preferably, the outboard end of described communication protocols converter housing stretches out upper cover sidewall.

This preferred embodiment is installed convenient, compact conformation.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module the 11st, data preprocessing module the 12nd, risk Determining module the 13rd, maintenance policy generation module 14；Described data acquisition module 11 is for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is 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 for the degree of risk according to assembly, in conjunction with maintenanceability 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, wireless sensor network is used to be monitored the health status of monitoring item record Health status monitoring amount；

Item is monitored for key, uses the mode that radio sensor network monitoring and personal monitoring combine to monitoring item Health status is monitored, if the wireless senser health status monitoring amount of certain crucial monitoring item is m₁, artificial health status is supervised It is measured as m₂, owing to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not by temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is that sensor is monitored When environment temperature, T₀For the normal temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m uses following formula true Fixed:

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

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

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

Preferably, the normalization of health status monitoring amount 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 represent a certain monitoring item original health monitoring variable, n represent this monitoring item normalization after health 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.

The monitoring means taked by different monitoring projects is different, and the order of magnitude of the monitoring result obtaining is different, single Position is also different, and health status monitoring amount is normalized by this preferred embodiment, conveniently carries out comprehensive assessment to assembly.

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

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

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

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

Set secure threshold T_s, T_s∈ [0.4,0.5], if health status monitoring index s is less than secure threshold T_s, then judge Health status monitoring index s is 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 is that equipment can repair fault rate, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants, For the corrected parameter producing according to actual application conditions 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_jAt 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:

$s^{\′}=\frac{{\mathrm{\Σ}}_{j=1}^l{s}_j}{l}$

$r=\frac{{\mathrm{\Σ}}_{j=1}^l\frac{f_j}{T_j}}{l}$

By above-mentioned health status monitoring index and the 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:

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

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) represent that each assemblies monitor index is 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, can more science weigh component failure affect journey to what equipment dependability produced Degree, thus be conducive to entering row major maintenance for the big faulty components of influence degree, save maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact on equipment dependability for the component failures, make maintenance policy more objective See and reliable.

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

(1) predefine maintenance policy desired parameters by expert group and this parameter is stored in database, described maintenance plan Slightly desired parameters includes: maintenance difficulty M when each monitoring item occurs abnormal for each assembly_JiWith maintenance economic value E_Ji, the wind of assembly Danger 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) set and determine 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' with comprehensive maintenance economic value E_Ji':

${E_{Ji}}^{,}=\underset{i}{\overset{k}{\Σ}}{E}_{Ji}$

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

Maintenance tendency degree to each assembly to be repairedSort from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance bigger 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 generate the maintenance policy of optimum.

This preferred embodiment has formulated the generating mode of optimum maintenance policy, and method is objective simply, the generation of maintenance policy Consider the maintenanceability in addition to degree of risk and economic factors, add objectivity and the reliability that maintenance policy is formulated, And in the face of in a large number wait the assembly to be repaired passed judgment on when, greatly reduce workload, improve operating efficiency, and preferably protect Hold the uniformity 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

See Fig. 1, Fig. 2, a kind of intelligent moulded case circuit breaker maintenance system of an embodiment of this application scene, including intelligence Energy breaker of plastic casing and maintenance policy obtain system, and described maintenance policy obtains system and includes that data acquisition module, data are located in advance Reason module, risk determining module, maintenance policy generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, mould Case circuit breaker body includes base and upper cover, and upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, in upper cover It is provided with the first communication interface the socket just breach on sidewall being set.

Preferably, described intelligent moulded case circuit breaker also includes communication protocols converter；Communication protocols converter housing interior Side is positioned inside upper cover, and is provided with the first communication interface plug matching with the first communication interface socket, its hull outside End is provided with the second communication interface socket；Communication protocols converter is positioned in described breach；Upper cover sidewall is at the wall of its breach both sides Being respectively provided with a guide runner on body, communication protocols converter housing is just being respectively provided with a guiding to the two side ends of guide runner The cooperation of chute, guide chute and guide runner guides so that communication protocols converter housing is along being perpendicular in upper cover be provided with The direction of the sidewall of breach moves back and forth.

This preferred embodiment scope of application is wider, it is simple to client chooses.

Preferably, the outboard end of described communication protocols converter housing stretches out upper cover sidewall.

This preferred embodiment is installed convenient, compact conformation.

Preferably, described maintenance policy acquisition system 1 includes data acquisition module the 11st, data preprocessing module the 12nd, risk Determining module the 13rd, maintenance policy generation module 14；Described data acquisition module 11 is for gathering Monitoring Data according to monitoring policy； Described data preprocessing module 12 is 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 for the degree of risk according to assembly, in conjunction with maintenanceability 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, wireless sensor network is used to be monitored the health status of monitoring item record Health status monitoring amount；

Item is monitored for key, uses the mode that radio sensor network monitoring and personal monitoring combine to monitoring item Health status is monitored, if the wireless senser health status monitoring amount of certain crucial monitoring item is m₁, artificial health status is supervised It is measured as m₂, owing to may be affected by temperature during Sensor monitoring, introduce temperature correction factor ξ, for not by temperature shadow The sensor ringing, makes ξ=1, for the sensor of temperature influence,Wherein T is that sensor is monitored When environment temperature, T₀For the normal temperature being suitable for during Sensor monitoring, then its final health status monitoring amount m uses following formula true Fixed:

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

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

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

Preferably, the normalization of health status monitoring amount 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 represent a certain monitoring item original health monitoring variable, n represent this monitoring item normalization after health 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.

The monitoring means taked by different monitoring projects is different, and the order of magnitude of the monitoring result obtaining is different, single Position is also different, and health status monitoring amount is normalized by this preferred embodiment, conveniently carries out comprehensive assessment to assembly.

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

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

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

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

Set secure threshold T_s, T_s∈ [0.4,0.5], if health status monitoring index s is less than secure threshold T_s, then judge Health status monitoring index s is 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 is that equipment can repair fault rate, and s ' is equipment condition monitoring index, and a, b, d are three undetermined constants,For The corrected parameter producing according to actual application conditions 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_jAt 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:

$s^{\′}=\frac{{\mathrm{\Σ}}_{j=1}^l{s}_j}{l}$

$r=\frac{{\mathrm{\Σ}}_{j=1}^l\frac{f_j}{T_j}}{l}$

By above-mentioned health status monitoring index and the 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:

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

In formula, j=1 ..., l,Represent and be in abnormal assembly z_jHealth status monitoring index, r (s₁..., s_j..., s_l) represent that each assemblies monitor index is 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, can more science weigh component failure affect journey to what equipment dependability produced Degree, thus be conducive to entering row major maintenance for the big faulty components of influence degree, save maintenance cost, maintenance policy is more than It is decided by the state of assembly itself, and is also dependent upon the impact on equipment dependability for the component failures, make maintenance policy more objective See and reliable.

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

(1) predefine maintenance policy desired parameters by expert group and this parameter is stored in database, described maintenance plan Slightly desired parameters includes: maintenance difficulty M when each monitoring item occurs abnormal for each assembly_JiWith maintenance economic value E_Ji, the wind of assembly Danger 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) set and determine 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' with comprehensive maintenance economic value E_Ji':

${E_{Ji}}^{,}=\underset{i}{\overset{k}{\Σ}}{E}_{Ji}$

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

Maintenance tendency degree to each assembly to be repairedSort from big to small, so that it is determined that each assembly to be repaired Maintenance sequencing, i.e. preferential maintenance bigger 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 generate the maintenance policy of optimum.

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

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

Last it should be noted that, above example is only in order to illustrating technical scheme, rather than the present invention is protected Protecting the restriction of 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. an intelligent moulded case circuit breaker maintenance system, is characterized in that, including intelligent moulded case circuit breaker and maintenance policy obtain system System, described maintenance policy obtains system and includes data acquisition module, data preprocessing module, risk determining module, maintenance policy Generation module, described intelligent moulded case circuit breaker, including breaker of plastic casing body, breaker of plastic casing body includes base and upper cover, Upper cover includes panel and sidewall；Panel is provided with the breach being connected with sidewall, is provided with just to the breach setting on sidewall in upper cover First communication interface socket.

2. a kind of intelligent moulded case circuit breaker maintenance system according to claim 1, is characterized in that, described intelligent plastic housing open circuit Device also includes communication protocols converter；The medial extremity of communication protocols converter housing is positioned inside upper cover, and is provided with logical with first The first communication interface plug that letter interface socket matches, its hull outside end is provided with the second communication interface socket；Communication protocol Converter is positioned in described breach；Upper cover sidewall is respectively provided with a guide runner, communication protocol on the wall body of its breach both sides Converter shell is just being respectively provided with a guide chute to the two side ends of guide runner, and the cooperation of guide chute and guide runner is led To so that communication protocols converter housing moves back and forth along the direction being perpendicular in upper cover set sidewall jaggy.

3. a kind of intelligent moulded case circuit breaker maintenance system according to claim 2, is characterized in that, described communication Protocol Conversion The outboard end of device housing stretches out upper cover sidewall.