CN115986946A - Power distribution cabinet remote monitoring system and method based on PERT - Google Patents

Power distribution cabinet remote monitoring system and method based on PERT Download PDF

Info

Publication number
CN115986946A
CN115986946A CN202310273279.XA CN202310273279A CN115986946A CN 115986946 A CN115986946 A CN 115986946A CN 202310273279 A CN202310273279 A CN 202310273279A CN 115986946 A CN115986946 A CN 115986946A
Authority
CN
China
Prior art keywords
power distribution
distribution cabinet
electric device
pert
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310273279.XA
Other languages
Chinese (zh)
Other versions
CN115986946B (en
Inventor
唐学文
叶义胜
唐学军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ruijiahong Intelligent Manufacturing Wuhan Co ltd
Original Assignee
Ruijiahong Intelligent Manufacturing Wuhan Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ruijiahong Intelligent Manufacturing Wuhan Co ltd filed Critical Ruijiahong Intelligent Manufacturing Wuhan Co ltd
Priority to CN202310273279.XA priority Critical patent/CN115986946B/en
Publication of CN115986946A publication Critical patent/CN115986946A/en
Application granted granted Critical
Publication of CN115986946B publication Critical patent/CN115986946B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a power distribution cabinet remote monitoring system and method based on PERT, and relates to the technical field of remote monitoring of components of a power distribution cabinet. The invention is based on the current abnormal pulse and voltage abnormal pulse monitoring data, combines the rated current and rated voltage of the electric appliance, and carries out predictive calculation on the health state of the electric appliance, thereby realizing the health state monitoring of a plurality of electric appliances in the power distribution cabinet, the monitoring belongs to predictive health state monitoring, when the health state of a certain electric appliance is judged to be poor, the invention can remind the working personnel to carry out maintenance in time, and avoids the loss caused by shutdown and production halt due to the direct damage of the electric appliance when the maintenance is not in time.

Description

Power distribution cabinet remote monitoring system and method based on PERT
Technical Field
The invention relates to the technical field of remote monitoring of components of a power distribution cabinet, in particular to a PERT-based remote monitoring system and method for the power distribution cabinet.
Background
The "parameter point estimation" method, also known as "PERT" method (program evaluation and review technique), considers a number of possibilities in calculating the expectation for each item: the pessimistic expectation, the most probable expectation, and the most optimistic period are calculated, and then the expectation of the feasibility of the project is calculated, and the expectation feasibility is calculated by the PERT method.
The power distribution cabinet is the most common switch equipment in the field of electric power, and electrical elements and circuits in the power distribution panel are required to be in good contact and reliable in connection; the phenomena of serious heating and burning loss can not occur.
At present, state monitoring of a power distribution cabinet is mainly realized by means of video monitoring, video monitoring matched with electrical performance data monitoring and the like, the video monitoring and the measurement of the working electrical performance data of the power distribution cabinet are used for carrying out data display on the operation state of the power distribution cabinet, the function of the video monitoring and the measurement of the working electrical performance data of the power distribution cabinet can be generally realized by carrying out maintenance treatment as soon as possible after a fault occurs, and a method for maintaining as soon as possible after the fault occurs is adopted in most cases. This method takes a passive remedy after the fault occurs, which is not very time-efficient, and a sudden power failure will cause immeasurable loss to a plurality of computers in the machine room.
Switch board especially smart machine's control switch board, there are a lot of vulnerable parts in fact, for example, air switch, the fuse, the relay, ac contactor etc., the damage reason of these vulnerable parts is not foreign overload current or overload voltage, be exactly unusual high temperature etc. if only adopt video monitoring or electrical property data monitoring, can only handle after the electrical part damages generally, and these monitoring data can be as providing certain fault reason judgement basis for the maintenance personal, the trouble can directly lead to shutting down the maintenance when vulnerable part appears damaging, can not realize prophylactic monitoring effect, therefore need to design a remote monitering system who matches the switch board urgently, realize prejudging vulnerable part health status, remind the staff to get rid of the reason that will be in unhealthy state at normal maintenance process, or change the accessory that accords with the distribution current situation more, avoid vulnerable part.
Disclosure of Invention
In order to solve the technical problem of the quick-wear part state prediction of the power distribution cabinet, the invention provides a PERT-based power distribution cabinet remote monitoring system and method. The following technical scheme is adopted:
power distribution cabinet remote monitering system based on PERT for control power distribution cabinet body, this internal air switch, PLC controller, ac contactor and a set of ac relay of setting up of power distribution cabinet, the air switch output passes through ac contactor and a set of ac relay and supplies power for the load, the PLC controller is connected with ac contactor and a set of ac relay control electricity respectively, power distribution cabinet remote monitering system includes electrical part state monitoring subassembly, vulnerable part health status evaluation subassembly, network communication module and distal end server, electrical part state monitoring subassembly sets up inside the power distribution cabinet body for monitor the instantaneous current value and the instantaneous voltage value of this internal each electrical part of power distribution cabinet, vulnerable part health status evaluation subassembly is connected with electrical part state monitoring subassembly communication electricity, gathers electrical part state monitoring subassembly data, and adopts the PERT method to evaluate air switch, PLC controller, ac contactor and a set of ac relay's health status respectively according to the health status, makes the maintenance expectation according to the evaluation and expect to transmit for distal end server through network communication module.
By adopting the technical scheme, the instantaneous current value and the instantaneous voltage value of each electric device in the power distribution cabinet body in operation are respectively detected by the electric device state monitoring component and are synchronously transmitted to the wearing part state evaluation component, the wearing part state evaluation component respectively evaluates the health states of the air switch, the PLC, the alternating current contactor and the group of alternating current relays by adopting a PERT method according to data, specifically, abnormal pulses in the current value and the voltage value can be analyzed, wherein the current abnormal pulse refers to continuous current higher than rated current, and the voltage abnormal pulse refers to continuous voltage higher than rated voltage.
The whole monitoring system adopts localized computational power deployment, and sends the health state related data after completing computation through the network communication module, so that computational power occupation of a remote server is avoided.
Optionally, the electric device state monitoring assembly comprises a plurality of current collectors and a plurality of voltage collectors, a plurality of measuring sensing heads of the current collectors and the voltage collectors are respectively connected to electric device nodes of the power distribution cabinet body to respectively monitor instantaneous current values and instantaneous voltage values of the electric devices in operation, and the current collectors and the voltage collectors are respectively in communication connection with the wearing part state evaluation assembly through communication lines.
By adopting the technical scheme, the adoption of the multi-path current collector and the multi-path voltage collector can monitor the current and the voltage of a plurality of electric devices in real time and provide data support for the health state evaluation assembly of the vulnerable part.
Optionally, the electric device state monitoring assembly further comprises an infrared temperature sensor, and the infrared temperature sensor monitors the surface temperature of the PLC controller and transmits the surface temperature to the vulnerable part state of health evaluation assembly.
Through adopting above-mentioned technical scheme, the data support of the health status aassessment of core control electrical part PLC controller in the switch board body, still need introduce operating temperature's data, because general PLC controller work is when below 40 ℃, be the best operating condition, when the temperature is higher, the PLC controller is in unstable operating condition, and duration is longer, its stability is worse, serious direct damage, can be equipped with the heat system for the PLC controller in the switch board body generally, even be equipped with the constant temperature system, but the high temperature that leads to when reasons such as line fault can't be dealt with by the heat system fast.
Optionally, the electric device state monitoring assembly further comprises a video monitoring assembly, and the video monitoring assembly shoots an electric device picture in the power distribution cabinet body and is in communication and electric connection with the remote server through the network communication module.
Through adopting above-mentioned technical scheme, video monitoring assembly's setting can provide the video monitoring picture for the far-end server, provides the picture support for staff's switch board control.
Optionally, the health state evaluation component of the quick-wear part comprises an analog input module, an AI chip and a memory, the multi-path current collector, the multi-path voltage collector and the infrared temperature sensor are respectively in communication connection with the AI chip through the analog input module, the memory is in communication connection with the AI chip and is used for storing data, and the AI chip adopts a PERT method to respectively evaluate the health states of the air switch, the PLC controller, the ac contactor and the set of ac relays.
By adopting the technical scheme, the analog input module is adopted to carry out digital processing on each current value, voltage value and temperature value acquired by the multi-path current collector, the multi-path voltage collector and the infrared temperature sensor, the processed digital data respectively pass through the AI chip and are stored in the memory, the AI chip respectively evaluates the health states of the air switch, the PLC, the AC contactor and the group of AC relays by adopting a PERT method, and the health states of the electric devices are quantitatively predicted by adopting a multi-parameter state prediction means of the PERT method and by comparing an instantaneous current value with a rated current value, an instantaneous voltage value with a rated voltage value and comparing an instantaneous temperature value with a normal temperature threshold value.
Optionally, the health status evaluation component of the quick-wear part further comprises a display driving module and a display screen, the display screen is arranged on a cabinet door of the power distribution cabinet body, and the AI chip controls the display screen to display the health status of the electric device through the display driving module.
Through adopting above-mentioned technical scheme, set up the display screen on the cabinet door of switch board body, can directly show the health status of each electrical part locally, just can directly know the health status of electrical part through the display screen in the staff use.
Optionally, the consumable part health status evaluation component further comprises a data interface, and the data interface is in communication connection with the memory.
By adopting the technical scheme and the arrangement of the data interface, the working personnel can directly collect the historical data stored in the memory through the data interface.
A power distribution cabinet remote monitoring method based on PERT comprises the following specific steps:
setting the rated current value of the electric device as I1, the rated voltage value as U1, the AI chip receiving the current value measured by the multi-path current collector as I2, the voltage value measured by the multi-path voltage collector as U2, and the AI chip judging that when I2 is greater than 1.2I1 and the duration is greater than the set threshold, recording the number of abnormal current pulses once, the cumulative value of the number of abnormal current pulses being n, when U2 is greater than 1.5U1 and the duration is greater than the set threshold, recording the number of abnormal voltage once, the cumulative value of the number of abnormal voltage being m;
the predicted value of the health degree of the electric device is H, when the value of H is 0 to 1, H =0, the electric device is determined to be a brand-new qualified device, when H =1, the electric device is determined to be damaged, and if the threshold value of the number of abnormal current pulses is n1 and the threshold value of the number of abnormal voltages is m1, the electric device is determined to be damaged
Figure SMS_1
By adopting the technical scheme, each electric device in the power distribution cabinet body, such as an air switch, a PLC (programmable logic controller), an AC contactor, a group of AC relays and the like, has a rated working current value and a rated working voltage value, and can be regarded as an abnormal voltage value or an abnormal current value for a current value and a voltage value which are higher than the rated working current value and the rated working voltage value within a certain range, when the abnormal voltage value or the abnormal current continues to be set values, such as the abnormal voltage value lasts for more than 2 minutes and the abnormal current lasts for more than 1 minute, the abnormal voltage number and the abnormal current pulse number can be recorded, a general electric device has certain tolerance capability for the abnormal current and the abnormal voltage, and cannot be directly damaged due to the abnormal voltage or the abnormal current twice at one time, but when the abnormal voltage or the abnormal current frequently exceeds the tolerance limit of the electric device, a great damage probability can be generated, and on the basis, a quantification method is adopted to predict the health state of the electric device, and can better and directly quantify the health state of the electric device.
Optionally, the health degree predicted value of the PLC controller is Hp, a variable of the temperature value T is increased, the surface temperature value of the PLC controller measured by the infrared temperature sensor is T1, when the time that T1 is greater than 60 ℃ exceeds 1 minute, the anomalous normal temperature number is recorded once, the cumulative value of the anomalous temperature number is q, and when the threshold of the anomalous temperature number is q1, hp = is provided
Figure SMS_2
By adopting the technical scheme, the temperature value data is added for the health state prediction of the PLC of the core electric device, and the service life of the PLC exceeding the normal temperature threshold value for a long time is inevitably greatly reduced.
Optionally, the AI chip controls the display screen to display the health status of the electric devices, the health status includes H values of the electric devices, and a percentage bar based on gradient color filling is performed on the H values, H =0, the color identifier is green, H =1, and the color identifier is red; when H is more than 0.6 and less than 0.9, the AI chip controls the display screen to display a prompt for asking for maintenance as soon as possible, and when H is more than or equal to 0.9, the AI chip controls the display screen to display a prompt for asking for immediate maintenance and controls the display screen to flash red light;
and the AI chip synchronously transmits the data of the health state of the electric device to a remote server through a network communication module.
By adopting the technical scheme, the health state of the electric device is displayed more visually by adopting the percentage bar filled with the gradient color, when H is more than or equal to 0.9, the probability that the electric device is damaged is very high, and a maintainer must immediately handle the damage, so that the loss caused by shutdown and maintenance caused by damage of the electric device can be effectively avoided.
In summary, the invention includes at least one of the following beneficial technical effects:
the invention can provide a power distribution cabinet remote monitoring system and method based on PERT, based on current abnormal pulse and voltage abnormal pulse monitoring data, and combined with the rated current and rated voltage of an electric appliance, the health state of the electric appliance is predictively calculated, the health state monitoring of a plurality of electric appliances in the power distribution cabinet is realized, the monitoring belongs to predictive health state monitoring, when the health state of a certain electric appliance is judged to be poor, a worker can be timely reminded to overhaul, and the loss caused by shutdown and production halt due to direct damage of the electric appliance when the overhaul is not in time is avoided.
Drawings
FIG. 1 is a schematic diagram of an electric device connection principle of a power distribution cabinet based on a PERT remote monitoring system of the power distribution cabinet;
FIG. 2 is a schematic diagram of an electric device connection principle of an electric device state monitoring assembly and a wearing part health state evaluation assembly of the PERT-based power distribution cabinet remote monitoring system;
fig. 3 is a schematic diagram of the electric device connection principle of the PERT-based power distribution cabinet remote monitoring system of the present invention.
Description of reference numerals: 11. a plurality of current collectors; 12. a plurality of paths of voltage collectors; 13. an infrared temperature sensor; 14. a video monitoring component; 21. an analog input module; 22. an AI chip; 23. a memory; 24. a drive module; 25. a display screen; 26. a data interface; 3. a network communication module; 4. a remote server; 100. a power distribution cabinet body; 101. an air switch; 102. a PLC controller; 103. an AC contactor; 104. an AC relay; 105. and (4) loading.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment of the invention discloses a PERT-based power distribution cabinet remote monitoring system and method.
Referring to fig. 1-3, the system for remotely monitoring a power distribution cabinet based on PERT is used for monitoring a power distribution cabinet body 100, an air switch 101, a PLC controller 102, an ac contactor 103 and a set of ac relays 104 are arranged in the power distribution cabinet body 100, an output end of the air switch 101 supplies power to a load 105 through the ac contactor 103 and the set of ac relays 104, the PLC controller 102 is electrically connected to the ac contactor 103 and the set of ac relays 104 respectively, the system for remotely monitoring a power distribution cabinet comprises an electric component state monitoring component, a wearing part state evaluation component, a network communication module 3 and a remote server 4, the electric component state monitoring component is arranged in the power distribution cabinet body 100 and is used for monitoring an instantaneous current value and an instantaneous voltage value of each electric component in the power distribution cabinet body 100, the wearing part state evaluation component is electrically connected to the electric component state monitoring component in a communication manner, data of the electric component is collected, health states of the air switch 101, the PLC controller 102, the ac contactor 103 and the set of ac relays 104 are evaluated respectively by a PERT method according to the data, a maintenance expectation is made according to the health states, and the evaluation and the expectation is transmitted to the network communication module 3 to the remote server 4.
The instantaneous current value and the instantaneous voltage value of each electric device in the power distribution cabinet body 100 in operation are respectively detected through the electric device state monitoring component and are synchronously transmitted to the wearing part state evaluation component, the wearing part state evaluation component respectively evaluates the state of health of the air switch 101, the PLC 102, the AC contactor 103 and the group of AC relays 104 by a PERT method according to data, specifically, abnormal pulses in the current value and the voltage value can be analyzed, wherein the abnormal current pulses refer to continuous current higher than rated current, the abnormal voltage pulses refer to continuous voltage higher than rated voltage, according to the abnormal pulses, the state of health of the electric devices can be calculated by combining the rated current and the rated voltage of the electric devices, and expected maintenance judgment is made according to the state of health, finally, monitoring values of related abnormal current and abnormal voltage, the state of health calculation values, expected maintenance judgment values and the like can be transmitted to the remote server 4 through the network communication module 3, health state monitoring of the plurality of electric devices in the power distribution cabinet is realized, the estimated health state monitoring is predictable, when the state of a certain electric device is judged to be poor, working personnel can be timely reminded of carrying out maintenance, and the risk of maintenance caused by direct shutdown and damage caused by maintenance is avoided.
The whole monitoring system adopts localized computational power deployment, and sends the health state related data after completing computation through the network communication module 3, so that computational power occupation of the remote server 4 is avoided.
The electric device state monitoring assembly comprises a multi-path current collector 11 and a multi-path voltage collector 12, a plurality of measuring sensing heads of the multi-path current collector 11 and the multi-path voltage collector 12 are respectively connected to electric device nodes of the power distribution cabinet body 100, instantaneous current values and instantaneous voltage values of all electric devices in operation are respectively monitored, and the multi-path current collector 11 and the multi-path voltage collector 12 are respectively in communication connection with the wearing part health state evaluation assembly through communication lines.
The adoption of the multi-path current collector 11 and the multi-path voltage collector 12 can monitor the current and the voltage of a plurality of electric devices in real time and provide data support for the health state evaluation component of the vulnerable part.
The electrical device condition monitoring assembly further comprises an infrared temperature sensor 13, and the infrared temperature sensor 13 monitors the surface temperature of the PLC controller 102 and transmits it to the consumable part health condition assessment assembly.
For data support of health state evaluation of the core control electric device PLC controller 102 in the power distribution cabinet body 100, data of working temperature needs to be introduced, because the PLC controller 102 generally works at a temperature below 40 ℃, which is the best working state, when the temperature is higher, the PLC controller 102 is in an unstable working state, and the duration is longer, the stability is worse, and serious direct damage is caused, generally a fan heating system or even a constant temperature system is provided for the PLC controller 102 in the power distribution cabinet body 100, but when the high temperature caused by line fault and other reasons cannot be quickly handled by the fan heating system.
The electric device state monitoring assembly further comprises a video monitoring assembly 14, and the video monitoring assembly 14 shoots the electric device picture in the power distribution cabinet body 100 and is in communication and electric connection with the remote server 4 through the network communication module 3.
The video monitoring component 14 can provide video monitoring pictures for the remote server 4 and provide picture support for the power distribution cabinet monitoring of workers.
The health state evaluation component of the wearing part comprises an analog quantity input module 21, an AI chip 22 and a memory 23, wherein the multi-path current collector 11, the multi-path voltage collector 12 and the infrared temperature sensor 13 are respectively in communication connection with the AI chip 22 through the analog quantity input module 21, the memory 23 is in communication connection with the AI chip 22 and is used for storing data, and the AI chip 22 adopts a PERT method to respectively evaluate the health states of the air switch 101, the PLC controller 102, the AC contactor 103 and the group of AC relays 104.
The analog input module 21 is adopted to carry out digital processing on each current value, voltage value and temperature value acquired by the multi-path current collector 11, the multi-path voltage collector 12 and the infrared temperature sensor 13, the processed digital quantity data respectively pass through the AI chip 22 and are stored in the memory 23, the AI chip 22 respectively evaluates the health states of the air switch 101, the PLC 102, the AC contactor 103 and the group of AC relays 104 by adopting a PERT method, and the health states of the electric devices are quantitatively predicted by adopting a multi-parameter state prediction means of the PERT method and comparing an instantaneous current value with a rated current value, comparing an instantaneous voltage value with a rated voltage value and comparing an instantaneous temperature value with a normal temperature threshold value.
The quick-wear part health state evaluation assembly further comprises a display driving module 24 and a display screen 25, the display screen 25 is arranged on a cabinet door of the power distribution cabinet body 100, and the AI chip 22 controls the display screen 25 to display the health state of the electric device through the display driving module 24.
Set up display screen 25 on the cabinet door of switch board body 100, can directly show the health status of each electrical part locally, just can directly know the health status of electrical part through display screen 25 in the staff use.
The consumable part health assessment component further comprises a data interface 26, the data interface 26 being communicatively connected to the memory 23.
The data interface 26 is set, so that the staff can directly collect the historical data stored in the memory 23 through the data interface 26.
A power distribution cabinet remote monitoring method based on PERT comprises the following specific steps:
setting the rated current value of the electric device as I1, the rated voltage value as U1, the AI chip 22 receiving the current value measured by the multi-path current collector 11 as I2, the voltage value measured by the multi-path voltage collector 12 as U2, the AI chip 22 recording the number of abnormal current pulses once when I2 is greater than 1.2I1 and the duration is greater than the set threshold, the accumulated value of the number of abnormal current pulses being n, and recording the number of abnormal voltages once when U2 is greater than 1.5U1 and the duration is greater than the set threshold, the accumulated value of the number of abnormal voltages being m;
the predicted value of the health degree of the electric device is H, when the value of H is 0 to 1, H =0, the electric device is determined to be a brand-new qualified device, when H =1, the electric device is determined to be damaged, and if the threshold value of the number of abnormal current pulses is n1 and the threshold value of the number of abnormal voltages is m1, the electric device is determined to be damaged
Figure SMS_3
The electric devices in the power distribution cabinet body 100, such as the air switch 101, the PLC controller 102, the ac contactor 103 and the set of ac relays 104, all have a rated working current value and a rated working voltage value, and for the current values and the voltage values higher than the rated working current value and the rated working voltage value within a certain range, the abnormal voltage value or the abnormal current value can be considered as an abnormal voltage value or an abnormal current value, when the abnormal voltage value or the abnormal current value continues to be set, for example, the abnormal voltage value lasts for more than 2 minutes, and the abnormal current lasts for more than 1 minute, the abnormal voltage number and the abnormal current pulse number can be recorded, and a general electric device has a certain tolerance to the abnormal current and the abnormal voltage, and cannot be directly damaged due to the abnormal voltage or the abnormal current twice at one time, but when the abnormal voltage or the abnormal current frequently exceeds the tolerance limit of the electric device, a great damage probability can be generated, and based on this, a quantitative method is adopted to predict the health state of the electric devices, and the health state of the electric devices can be directly quantized better.
The health degree predicted value of the PLC controller 102 is Hp, the variable of the temperature value T is increased, the surface temperature value of the PLC controller 102 measured by the infrared temperature sensor 13 is T1, when the time when T1 is greater than 60 ℃ exceeds 1 minute, the abnormal temperature number is recorded once, the accumulated value of the abnormal temperature number is q, and the threshold value of the abnormal temperature number is q1, hp = is set
Figure SMS_4
Temperature value data is added to the health state prediction of the core electrical component PLC controller 102, and the service life of the PLC controller 102 which is in a state exceeding a normal temperature threshold value for a long time is necessarily greatly reduced.
The AI chip 22 controls the display screen 25 to display the health status of the electric devices, the health status includes H values of the electric devices, and the H values are subjected to percentage bar based on gradient color filling, H =0, the color label is green, H =1, the color label is red; when H is more than 0.6 and less than 0.9, the AI chip 22 controls the display screen 25 to display a prompt for asking for maintenance as soon as possible, and when H is more than or equal to 0.9, the AI chip 22 controls the display screen 25 to display a prompt for asking for immediate maintenance and controls the display screen to flicker in red light;
the AI chip 22 synchronously transmits the data of the health status of the electric device to the remote server 4 through the network communication module 3.
The percentage bar that adopts gradual change colour to fill shows that the health status of electrical part is more directly perceived, when H is greater than or equal to 0.9, means that the probability that the electrical part appears damaging is very big, and the maintainer must handle immediately, can avoid the loss that the shut down that the electrical part damage leads to overhauls and brings effectively.
The implementation principle of the power distribution cabinet remote monitoring system and method based on the PERT of the embodiment of the invention is as follows:
in the main control switch board of specific certain production line, set up a plurality of air switches 101, a siemens PLC controller 102, an ac contactor 103 and a plurality of ac relay 104 in the main control switch board, main load 105 is a plurality of motors, and PLC controller 102 realizes the control of the different execution actions of a plurality of motors through ac contactor 103 and a plurality of ac relay 104's joint work.
The remote monitoring system of the power distribution cabinet is arranged to remotely monitor the main control power distribution cabinet, wherein the rated current of the main air switch is 40A, the rated voltage is 400V, at a certain T moment, the voltage value of the main air switch measured by the AI chip 22 receiving the multi-path current collector 11 is 820V, the duration time is 5 minutes and 30 seconds, the abnormal voltage number is recorded as 1 time, the current value measured by the AI chip 22 receiving the multi-path current collector 11 at a certain T1 moment is 60A, the duration time is 3 minutes, and the abnormal current pulse is recorded as 1 time.
Accumulating the abnormal voltage number of the main air switch to 3 times, the abnormal current pulse to 4 times, setting the abnormal voltage number threshold value of the power distribution cabinet remote monitoring system to 8 times and the abnormal current pulse number threshold value to 10 times at the moment of T2, and then setting the health degree predicted value of the main air switch to H =
Figure SMS_5
If the ai chip 22 controls the display screen 25 to display a prompt for asking for maintenance as soon as possible, and the percentage bar filled with the gradient color is used to indicate the health status of the main air switch, the color at this time is closer to red, and the data is synchronized to the remote server 4, so that the maintenance staff immediately maintains the main air switch after the staff of the remote server 4 sees the data.
The above are all preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, so: equivalent changes made according to the structure, shape and principle of the invention shall be covered by the protection scope of the invention.

Claims (10)

1. Switch board remote monitering system based on PERT for control switch board body (100), set up air switch (101), PLC controller (102), ac contactor (103) and a set of ac relay (104) in switch board body (100), air switch (101) output is supplied power for load (105) through ac contactor (103) and a set of ac relay (104), PLC controller (102) are connected its characterized in that with ac contactor (103) and a set of ac relay (104) control electricity respectively: the power distribution cabinet remote monitoring system comprises an electric device state monitoring assembly, a quick-wear part health state evaluation assembly, a network communication module (3) and a remote server (4), wherein the electric device state monitoring assembly is arranged inside a power distribution cabinet body (100) and used for monitoring the instantaneous current value and the instantaneous voltage value of each electric device in the power distribution cabinet body (100), the quick-wear part health state evaluation assembly is electrically connected with the electric device state monitoring assembly in a communication mode, the data of the electric device state monitoring assembly are collected, the health states of an air switch (101), a PLC (programmable logic controller) (102), an alternating current contactor (103) and a group of alternating current relays (104) are evaluated respectively by adopting a PERT method according to the data, an overhaul expectation is made according to the health states, and the evaluation and the expectation are transmitted to the remote server (4) through the network communication module (3).
2. The PERT-based power distribution cabinet remote monitoring system according to claim 1, wherein: the electric device state monitoring assembly comprises a multi-path current collector (11) and a multi-path voltage collector (12), a plurality of measuring sensing heads of the multi-path current collector (11) and the multi-path voltage collector (12) are respectively connected into electric device nodes of the power distribution cabinet body (100), instantaneous current values and instantaneous voltage values of all electric devices in operation are respectively monitored, and the multi-path current collector (11) and the multi-path voltage collector (12) are respectively in communication connection with the quick-wear part health state evaluation assembly through communication lines.
3. The PERT-based power distribution cabinet remote monitoring system according to claim 2, wherein: the electric device state monitoring assembly further comprises an infrared temperature sensor (13), wherein the infrared temperature sensor (13) monitors the surface temperature of the PLC (102) and transmits the surface temperature to the wearing part state evaluation assembly.
4. The PERT-based power distribution cabinet remote monitoring system according to claim 2, wherein: the electric device state monitoring assembly further comprises a video monitoring assembly (14), wherein the video monitoring assembly (14) shoots electric device pictures in the power distribution cabinet body (100) and is in communication and electric connection with the far-end server (4) through the network communication module (3).
5. The PERT-based power distribution cabinet remote monitoring system according to claim 3, wherein: the health state evaluation assembly of the quick-wear part comprises an analog quantity input module (21), an AI chip (22) and a memory (23), wherein the multi-path current collector (11), the multi-path voltage collector (12) and the infrared temperature sensor (13) are in communication connection with the AI chip (22) through the analog quantity input module (21) respectively, the memory (23) is in communication connection with the AI chip (22) and used for storing data, and the AI chip (22) adopts a PERT method to evaluate the health states of the air switch (101), the PLC controller (102), the AC contactor (103) and the AC relay (104) respectively.
6. The PERT-based power distribution cabinet remote monitoring system according to claim 5, wherein: the quick-wear part health state evaluation assembly further comprises a display driving module (24) and a display screen (25), the display screen (25) is arranged on a cabinet door of the power distribution cabinet body (100), and the AI chip (22) controls the display screen (25) to display the health state of the electric device through the display driving module (24).
7. The PERT-based power distribution cabinet remote monitoring system according to claim 6, wherein: the consumable part health status assessment assembly further comprises a data interface (26), wherein the data interface (26) is connected with the memory (23) in a communication way.
8. PERT-based power distribution cabinet remote monitoring method is characterized in that: the PERT-based remote monitoring system of a power distribution cabinet for monitoring the health state of electric devices of a power distribution cabinet body (100) is adopted, and the method comprises the following specific steps:
setting the rated current value of the electric device as I1, the rated voltage value as U1, the AI chip (22) receiving the current value measured by the multi-path current collector (11) as I2, the voltage value measured by the multi-path voltage collector (12) as U2, the AI chip (22) judging that when I2 is more than 1.2I1 and the duration is more than the set threshold, recording the number of abnormal current pulses once, the accumulated value of the number of abnormal current pulses is n, when U2 is more than 1.5U1 and the duration is more than the set threshold, recording the number of abnormal voltage once, and the accumulated value of the number of abnormal voltage is m;
when the predicted value of the health degree of the electric device is H, the value of H is 0 to 1, H =0, the electric device is determined as a brand-new qualified piece, when H =1, the electric device is determined to be damaged, and if the threshold value of the abnormal current pulse number is n1 and the threshold value of the abnormal voltage number is m1, the electric device is determined to be damaged
Figure QLYQS_1
9. The PERT-based power distribution cabinet remote monitoring method according to claim 8, wherein: the health degree predicted value of the PLC (102) is Hp, a variable of a temperature value T is increased, the surface temperature value of the PLC (102) measured by the infrared temperature sensor (13) is set as T1, when the time of T1 being more than 60 ℃ exceeds 1 minute, the abnormal temperature degree is recorded once, the accumulated value of the abnormal temperature number is q, and the threshold value of the abnormal temperature number is q1, hp =
Figure QLYQS_2
10. The PERT-based power distribution cabinet remote monitoring method according to claim 8, wherein: the AI chip (22) controls the display screen (25) to display the health status of the electric devices, wherein the health status comprises H values of all the electric devices, and the H values are subjected to percentage bars based on gradient color filling, H =0, the color mark is green, H =1, and the color mark is red; when H is more than 0.6 and less than 0.9, the AI chip (22) controls the display screen (25) to display a prompt for asking for maintenance as soon as possible, and when H is more than or equal to 0.9, the AI chip (22) controls the display screen (25) to display a prompt for asking for maintenance immediately and controls the display screen to flash red light;
the AI chip (22) synchronously transmits the data of the health state of the electric device to the remote server (4) through the network communication module (3).
CN202310273279.XA 2023-03-21 2023-03-21 PERT-based power distribution cabinet remote monitoring system and method Active CN115986946B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310273279.XA CN115986946B (en) 2023-03-21 2023-03-21 PERT-based power distribution cabinet remote monitoring system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310273279.XA CN115986946B (en) 2023-03-21 2023-03-21 PERT-based power distribution cabinet remote monitoring system and method

Publications (2)

Publication Number Publication Date
CN115986946A true CN115986946A (en) 2023-04-18
CN115986946B CN115986946B (en) 2023-06-30

Family

ID=85959956

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310273279.XA Active CN115986946B (en) 2023-03-21 2023-03-21 PERT-based power distribution cabinet remote monitoring system and method

Country Status (1)

Country Link
CN (1) CN115986946B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009276893A (en) * 2008-05-13 2009-11-26 Toshiba Corp Health control support device
JP2013096752A (en) * 2011-10-28 2013-05-20 Sanyo Electric Co Ltd Abnormality determination method for battery pack and battery pack
CN204881871U (en) * 2015-05-12 2015-12-16 江苏宝亨新电气有限公司 High tension switchgear's temperature on -line monitoring system
CN107171444A (en) * 2017-07-25 2017-09-15 合肥欧仕嘉机电设备有限公司 A kind of real-time monitoring system of low-voltage distribution cabinet
WO2018001739A1 (en) * 2016-06-30 2018-01-04 Robert Bosch Gmbh Method for determining a temperature without contact, and infrared measuring system
CN110264679A (en) * 2019-06-18 2019-09-20 国网山东省电力公司沂南县供电公司 Power distribution cabinet monitors system and method
CN209805511U (en) * 2019-07-09 2019-12-17 四川三秦电气有限责任公司 Intelligent power distribution cabinet system based on Internet of things
CN111766829A (en) * 2020-05-28 2020-10-13 河南中烟工业有限责任公司 Intelligent detection management system and method for power distribution room environment
CN111898068A (en) * 2020-07-24 2020-11-06 宁夏隆基宁光仪表股份有限公司 Anomaly detection method based on PERT algorithm and instrument usage analysis
CN114465117A (en) * 2021-12-29 2022-05-10 镇江亘古电力科技有限公司 Remote monitoring intelligent power distribution cabinet and operation method thereof
CN114552791A (en) * 2022-03-07 2022-05-27 广州德程智能科技股份有限公司 Real-time monitoring system of low-voltage power distribution cabinet
CN114825623A (en) * 2022-04-15 2022-07-29 深圳市茂和机电有限公司 Monitoring method and system of intelligent power distribution cabinet
CN114897331A (en) * 2022-04-28 2022-08-12 贵州电网有限责任公司 Power transformer risk assessment method based on three-parameter interval gray number decision
CN115149122A (en) * 2022-07-25 2022-10-04 合众新能源汽车有限公司 Early warning method and device for battery safety

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009276893A (en) * 2008-05-13 2009-11-26 Toshiba Corp Health control support device
JP2013096752A (en) * 2011-10-28 2013-05-20 Sanyo Electric Co Ltd Abnormality determination method for battery pack and battery pack
CN204881871U (en) * 2015-05-12 2015-12-16 江苏宝亨新电气有限公司 High tension switchgear's temperature on -line monitoring system
WO2018001739A1 (en) * 2016-06-30 2018-01-04 Robert Bosch Gmbh Method for determining a temperature without contact, and infrared measuring system
CN107171444A (en) * 2017-07-25 2017-09-15 合肥欧仕嘉机电设备有限公司 A kind of real-time monitoring system of low-voltage distribution cabinet
CN110264679A (en) * 2019-06-18 2019-09-20 国网山东省电力公司沂南县供电公司 Power distribution cabinet monitors system and method
CN209805511U (en) * 2019-07-09 2019-12-17 四川三秦电气有限责任公司 Intelligent power distribution cabinet system based on Internet of things
CN111766829A (en) * 2020-05-28 2020-10-13 河南中烟工业有限责任公司 Intelligent detection management system and method for power distribution room environment
CN111898068A (en) * 2020-07-24 2020-11-06 宁夏隆基宁光仪表股份有限公司 Anomaly detection method based on PERT algorithm and instrument usage analysis
CN114465117A (en) * 2021-12-29 2022-05-10 镇江亘古电力科技有限公司 Remote monitoring intelligent power distribution cabinet and operation method thereof
CN114552791A (en) * 2022-03-07 2022-05-27 广州德程智能科技股份有限公司 Real-time monitoring system of low-voltage power distribution cabinet
CN114825623A (en) * 2022-04-15 2022-07-29 深圳市茂和机电有限公司 Monitoring method and system of intelligent power distribution cabinet
CN114897331A (en) * 2022-04-28 2022-08-12 贵州电网有限责任公司 Power transformer risk assessment method based on three-parameter interval gray number decision
CN115149122A (en) * 2022-07-25 2022-10-04 合众新能源汽车有限公司 Early warning method and device for battery safety

Also Published As

Publication number Publication date
CN115986946B (en) 2023-06-30

Similar Documents

Publication Publication Date Title
CN101943921B (en) Intelligent control method and intelligent control device of transformer cooling system
CN104331042B (en) State evaluation method of hydropower plant computer monitoring system
RU2622473C2 (en) Method and device for electric plant maintenance
CN109632009A (en) A kind of fault monitoring system and determination method of switchgear
CN107710088B (en) Device for monitoring cooling structure of device
CN111452665B (en) Intelligent charging and battery replacing cabinet for electric bicycle
KR101212124B1 (en) Monitoring system for photovoltaic electric power station
CN105874684B (en) Electric power dual device and its control method for HVDC system
CN105094039B (en) Converter transformer cooler control cabinet intelligent control scheme man-machine interface building method
CN210923907U (en) High-voltage switch quick mechanism running-in experiment intelligent control system
KR20010077602A (en) The Preventive Diagnostic System for the Electric Power Substation Equipments
CN104216307A (en) Home electricity distribution control system and method
CN108983104B (en) Online capacity calculation method based on battery open circuit voltage method
CN113206546A (en) Supermarket power equipment operation maintenance method, system and storage medium
CN106771801B (en) Online monitoring device for capacitor bank and application method of online monitoring device
CN205911832U (en) Circuit breaker intelligent components
CN114815726A (en) Remote centralized control management system for electric control cabinet
CN112234710B (en) Power plant digital medium-voltage switch equipment intelligent management system
CN115986946B (en) PERT-based power distribution cabinet remote monitoring system and method
CN106680708B (en) Electrical life test monitoring protection device of low-voltage alternating current breaker and application thereof
CN110554237A (en) Intelligent test system for insulation resistance of high-voltage motor
CN104795804A (en) Auxiliary relay protection monitoring processing system and processing method thereof
KR101264869B1 (en) Local monitoring apparatus, monitoring system and method of digital protective relay
CN110676729A (en) Terminal block terminal of intelligence
CN114825623A (en) Monitoring method and system of intelligent power distribution cabinet

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant