CN114825623A - Monitoring method and system of intelligent power distribution cabinet - Google Patents
Monitoring method and system of intelligent power distribution cabinet Download PDFInfo
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- CN114825623A CN114825623A CN202210392951.2A CN202210392951A CN114825623A CN 114825623 A CN114825623 A CN 114825623A CN 202210392951 A CN202210392951 A CN 202210392951A CN 114825623 A CN114825623 A CN 114825623A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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Abstract
The application relates to a monitoring method and a monitoring system of an intelligent power distribution cabinet, which belong to the technical field of intelligent monitoring, and the method comprises the following steps: acquiring an instrument data image of a power distribution cabinet; acquiring instrument data based on the instrument data image; judging whether the instrument data are matched with preset normal data or not; if not, acquiring an infrared image of the power distribution cabinet; judging whether the interior of the power distribution cabinet is abnormal or not based on the infrared image; if the abnormal situation occurs, acquiring abnormal information of the power distribution cabinet and outputting the abnormal information; if no abnormity occurs, the abnormity of the instrument is determined, and the abnormal information of the instrument is obtained and output. This application has improved the effect to the monitoring effect of switch board.
Description
Technical Field
The application relates to the technical field of intelligent monitoring, in particular to a monitoring method and a monitoring system of an intelligent power distribution cabinet.
Background
A power distribution cabinet is a power distribution device for distributing, controlling, metering and connecting cables in a power supply system. Various electrical elements and circuits are installed in the power distribution cabinet, and various power functions are completed by assembling components such as a switch, a circuit breaker, a fuse, an indicator light and the like into a whole.
The switch board is owing to have high-voltage electricity usually, and the switch board often sets up in comparatively confined place to prevent to the greatest extent and take place to electrocute danger. In order to monitor the state of the power distribution cabinet, high-definition cameras can be generally arranged around the power distribution cabinet, so that the operating environment and the operating data of the power distribution cabinet can be monitored.
For the above related art, the inventor thinks that the monitoring effect on the operation of the power distribution cabinet is weak by monitoring the power distribution cabinet in the above manner.
Disclosure of Invention
In order to improve the monitoring effect of the power distribution cabinet, the application provides a monitoring method and a monitoring system of an intelligent power distribution cabinet.
In a first aspect, the present application provides a monitoring method for an intelligent power distribution cabinet, which adopts the following technical scheme:
a monitoring method of an intelligent power distribution cabinet comprises the following steps:
acquiring a meter data image of a power distribution cabinet;
acquiring meter data based on the meter data image;
judging whether the instrument data are matched with preset normal data or not;
if not, acquiring an infrared image of the power distribution cabinet;
judging whether the interior of the power distribution cabinet is abnormal or not based on the infrared image;
if the abnormal situation occurs, acquiring abnormal information of the power distribution cabinet and outputting the abnormal information;
if no abnormity occurs, the abnormity of the instrument is determined, and the abnormal information of the instrument is obtained and output.
By adopting the technical scheme, the instrument data is obtained according to the instrument data image, whether the instrument data is matched with the normal data or not is judged, and whether the instrument data is abnormal or not can be judged. If not, prove to take place unusually, acquire infrared image this moment, then judge whether the switch board is inside to take place unusually according to infrared image, can judge whether instrument data is unusual to be aroused by internal fault. If the abnormity occurs, the data abnormity is proved to be caused by the inside of the power distribution cabinet at a high probability, and the abnormal information of the power distribution cabinet is acquired and output; if no abnormity occurs, the probability proves that the abnormity is caused by the instrument, and the instrument abnormity information is acquired and output. Through the mode that instrument data image and infrared image switch over, can confirm the trouble of switch board to can improve the monitoring effect to the switch board.
Preferably, after the determining that the meter is abnormal, and acquiring and outputting the meter abnormality information, the method further includes:
acquiring the theoretical working time of the instrument capable of working normally;
acquiring the current working time of the instrument;
judging whether the current working time length exceeds the theoretical working time length or not;
if the abnormal information exceeds the preset threshold value, outputting the abnormal information of the instrument as normal damage;
and if not, outputting the abnormal information of the instrument as abnormal damage.
By adopting the technical scheme, whether the current working time exceeds the theoretical working time or not is judged, and whether the instrument exceeds the normal working life or not can be judged. If the abnormal information exceeds the threshold value, the instrument is proved to be normally damaged with a high probability, and the abnormal information of the output instrument is normally damaged at the moment; if the abnormal information does not exceed the preset threshold value, the fact that the instrument is damaged by external factors is proved to be high in probability, and the output instrument abnormal information is abnormal damage. Therefore, the cause of the damage of the instrument can be further determined by the mode, and the accuracy of monitoring and judging is improved.
Preferably, the outputting the abnormal information of the meter as abnormal damage includes the steps of:
acquiring vibration parameters of the power distribution cabinet;
judging whether the vibration parameter is larger than a parameter threshold value;
if so, outputting the abnormal damage as vibration damage;
and if not, outputting the abnormal damage as self damage.
By adopting the technical scheme, whether the vibration parameter is larger than the parameter threshold value or not can be judged to judge whether the damage of the instrument is caused by vibration or not. If so, the vibration parameter is larger than the parameter threshold value, the instrument is proved to be in vibration damage by a large probability, and the output abnormal damage is in vibration damage at the moment; if not, the instrument is proved to be self-fault by a large probability, and the output abnormal damage is self-damage at the moment. Through foretell mode, can make things convenient for the workman to have corresponding the maintenance in order to further improve the accuracy of judging the switch board trouble reason.
Preferably, before the output is self-damaged, the method further includes:
acquiring a current humidity value in the power distribution cabinet;
judging whether the current humidity value is larger than a humidity threshold value or not, and obtaining a first judgment result;
if the first judgment result is yes, outputting a damp damage prompt;
and if the first judgment result is negative, entering the next step.
By adopting the technical scheme, whether the current humidity value is larger than the humidity threshold value or not is judged, a first judgment result is obtained, and whether the damage of the instrument is caused by humidity or not can be judged. If the first judgment result is yes, the instrument is proved to be damaged due to dampness with high probability, and a dampness damage prompt is output at the moment; and if the first judgment result is negative, the abnormal damage output in the next step is self damage. Therefore, the cause of the instrument fault can be further judged, and the judgment accuracy is further improved.
Preferably, after the outputting the moisture damage prompt, the method further comprises:
and acquiring a heating instruction, and controlling a heater in the power distribution cabinet to heat through the heating instruction so as to enable the current humidity value to be smaller than or equal to the humidity threshold value.
Through adopting above-mentioned technical scheme, when first judgement result is yes, obtain the heating instruction, heat the switch board according to heating instruction control heater, make current humidity value be less than or equal to the temperature threshold value to guarantee the degree of dryness of switch board as far as, and then improve the security of switch board operation in-process.
Preferably, if the abnormality occurs, the method further includes, after acquiring and outputting the abnormality information of the power distribution cabinet:
acquiring an abnormal position based on the infrared image;
acquiring the position of an electric appliance in the power distribution cabinet;
acquiring a corresponding electric appliance type based on the abnormal position and the electric appliance position;
and acquiring and outputting fault reason information based on the type of the electric appliance.
By adopting the technical scheme, the corresponding type of the electric appliance is obtained according to the abnormal position and the electric appliance position, the fault reason is obtained according to the type of the electric appliance and output, and the abnormal electric appliance can be searched, so that the type of the abnormal reason can be determined according to the abnormal electric appliance, the reason caused by the fault can be conveniently checked by maintenance personnel, and the convenience in maintenance is improved.
Preferably, after the obtaining and outputting the fault cause information based on the appliance type, the method further includes:
acquiring the fan state of a heat dissipation fan in the power distribution cabinet;
judging whether the state of the heat dissipation fan is normal or not based on the fan state, and obtaining a second judgment result;
if the second judgment result is yes, the output fault reason information is the self fault of the equipment;
and if the second judgment result is negative, the output fault reason information is the fault of the heat dissipation fan.
By adopting the technical scheme, whether the state of the heat dissipation fan is normal or not is judged according to the state of the fan, and a second judgment result is obtained. If the second judgment result is yes, the state of the heat dissipation fan is proved to be normal, the fault is proved to be caused by the self-reason of the equipment at the moment probably, and the output fault reason is the self-fault of the equipment at the moment; if the second judgment result is negative, the fact that the equipment fault is possibly caused by the fault of the heat dissipation fan at the moment is proved, and the reason of the output fault is the fault of the heat dissipation fan at the moment. By the aid of the method, accuracy of judging the equipment fault reason can be further improved.
Preferably, the outputting the failure cause information as a failure of the device itself includes:
acquiring a heat dissipation opening image of the power distribution cabinet;
judging whether the heat dissipation opening of the power distribution cabinet is normal or not based on the heat dissipation opening image;
if not, the output fault reason information is the fault of the heat dissipation port;
if so, the output fault reason information is the self fault of the equipment.
By adopting the technical scheme, when the second judgment result is yes, whether the heat dissipation opening of the power distribution cabinet is normal or not is judged according to the heat dissipation opening image. If so, the heat dissipation port is proved to be normal, the fault reason is proved to be the equipment per se at the moment, and the output fault reason is proved to be the equipment per se at the moment; if not, the result proves that the high probability is that the temperature of the equipment is abnormal due to the abnormal heat dissipation port, and the output fault is the heat dissipation port fault. Therefore, the fault reason can be output more specifically, and the maintainers can overhaul more conveniently.
In a second aspect, the present application provides a monitoring system for an intelligent power distribution cabinet, which adopts the following technical scheme:
a monitoring system of an intelligent power distribution cabinet comprises:
the first image acquisition module is used for acquiring an instrument data image of the power distribution cabinet;
the data acquisition module is used for acquiring instrument data based on the instrument data image;
the data judgment module is used for judging whether the instrument data are matched with preset normal data or not;
the second image acquisition module is used for acquiring the infrared image of the power distribution cabinet when the instrument data is not matched with the normal data;
the abnormity judgment module is used for judging whether the inside of the power distribution cabinet is abnormal or not based on the infrared image;
the abnormal information output module is used for acquiring and outputting abnormal information of the power distribution cabinet when abnormality occurs; and when no abnormity occurs, acquiring and outputting the abnormal information of the instrument.
By adopting the technical scheme, after the first image acquisition module acquires the instrument data image of the power distribution cabinet, the instrument data image is sent to the data acquisition module connected with the first image acquisition module. The data acquisition module acquires instrument data according to the instrument data image and sends the instrument data to the data judgment module connected with the data acquisition module. The data judgment module judges whether the instrument data is matched with preset normal data or not and sends a matching result to the second image acquisition module connected with the data judgment module. And when the matching result is that the instrument data is not matched with the normal data, the second image acquisition module acquires the infrared image of the power distribution cabinet and sends the infrared image to the abnormality judgment module connected with the second image acquisition module. The abnormity judgment module judges whether the inside of the power distribution cabinet is abnormal or not according to the infrared image, and sends an obtained judgment result to an abnormity information output module connected with the abnormity judgment module. When abnormality occurs, the abnormal information output module acquires and outputs abnormal information of the power distribution cabinet; and when the abnormality does not occur, the abnormal information output module acquires and outputs the abnormal information of the instrument. And then through the mode that instrument data image and infrared image switch, can confirm the trouble of switch board to can improve the monitoring effect to the switch board.
In summary, the present application includes at least one of the following beneficial technical effects:
1. whether the instrument data are matched with the normal data or not is judged, and whether the instrument data are abnormal or not can be judged. If not, acquiring the infrared image, and then judging whether the inside of the power distribution cabinet is abnormal or not according to the infrared image. If the abnormal data occurs, the data abnormality is proved to be caused by the inside of the power distribution cabinet approximately, and at the moment, abnormal information of the power distribution cabinet is obtained and output; if no abnormity occurs, the probability proves that the abnormity is caused by the instrument, and the instrument abnormity information is acquired and output. The fault of the power distribution cabinet can be confirmed by switching the instrument data image and the infrared image, so that the monitoring effect on the power distribution cabinet can be improved;
2. whether the current working time exceeds the theoretical working time or not is judged, whether the instrument exceeds the normal working life or not can be judged, so that the cause of instrument damage can be further determined, and the accuracy of monitoring and judging is improved;
3. the corresponding electric appliance type is obtained according to the abnormal position and the electric appliance position, the fault reason is obtained and output according to the electric appliance type, the abnormal electric appliance can be searched, the type of the abnormal reason can be determined according to the abnormal electric appliance, the reason caused by the fault can be conveniently checked by maintenance personnel, and the overhauling convenience is improved.
Drawings
Fig. 1 is an overall flowchart schematic diagram of a monitoring method for an intelligent power distribution cabinet according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating steps S11 through S15 after step S7 in one embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating steps S21 through S24 according to an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating the steps S31 to S33 before the step S24 in one embodiment of the present application;
FIG. 5 is a schematic flow chart illustrating steps S41 through S44 after step S6 in one embodiment of the present application;
FIG. 6 is a schematic flow chart illustrating steps S51 through S54 after step S44 in one embodiment of the present application;
FIG. 7 is a detailed flowchart of steps S61 through S64 and S53 according to an embodiment of the present application;
fig. 8 is a structural block diagram of a monitoring system of an intelligent power distribution cabinet according to an embodiment of the present application.
Description of reference numerals:
1. a first image acquisition module; 2. a data acquisition module; 3. a data judgment module; 4. a second image acquisition module; 5. an abnormality judgment module; 6. and an abnormal information output module.
Detailed Description
The present application is described in further detail below with reference to figures 1-8.
The embodiment of the application discloses a monitoring method of an intelligent power distribution cabinet.
Referring to fig. 1, the monitoring method of the intelligent power distribution cabinet includes:
s1, acquiring an instrument data image of a power distribution cabinet;
s2, acquiring instrument data based on the instrument data image;
s3, judging whether the instrument data are matched with preset normal data or not;
s4, if the infrared images are not matched, acquiring an infrared image of the power distribution cabinet;
s5, judging whether the interior of the power distribution cabinet is abnormal or not based on the infrared image;
s6, if the abnormal condition occurs, acquiring abnormal information of the power distribution cabinet and outputting the abnormal information;
and S7, if no abnormity occurs, acquiring and outputting the abnormal information of the instrument.
Particularly, in the process of monitoring the power distribution cabinet, firstly, the instrument data image of the power distribution cabinet is acquired, and the acquisition mode can be used for shooting and acquiring the instrument door of the power distribution cabinet through the high-definition camera. And then acquiring meter data such as voltage values, current values and the like in the meter data image by means of image recognition.
And then, judging whether the instrument data is matched with preset normal data, wherein the preset normal data is a data value in the normal working process of the equipment, and the normal data is a range value, for example, matching a voltage value in the instrument data with a voltage value of the normal data, the voltage value of the normal data comprises an upper limit value and a lower limit value, if the voltage value of the instrument data is between the upper limit value and the lower limit value of the voltage value of the normal data, the successful matching is indicated, and the matching mode of the current value is the same.
If the instrument data is matched with the normal data, the working state of the power distribution cabinet is proved to be normal, and operation is not needed; and if the instrument data are not matched with the normal data, acquiring the infrared image of the power distribution cabinet. The process of obtaining is, when instrument data and normal data mismatch, acquires the switching instruction, shoots the shooting state with the camera by high definition digtal camera and changes into infrared camera according to the switching instruction and shoot, shoots the switch board through infrared camera to obtain infrared image. When instrument data and normal data match promptly, high definition digtal camera work, when instrument data and normal data mismatch, infrared camera work.
And then, judging whether the inside of the power distribution cabinet is abnormal or not according to the infrared image, namely acquiring the temperature information inside the power distribution cabinet according to the acquired infrared image, wherein different color areas in the infrared image represent different temperature values, and judging whether the temperature values are matched with the prestored temperature or not so as to judge whether the inside of the power distribution cabinet is abnormal or not.
For example: the infrared image is divided into a plurality of areas, each area corresponds to a temperature value, then the temperature value is matched with a prestored temperature image, the temperature image is also divided into areas with the same number as the infrared image, and each area of the temperature image corresponds to a temperature interval. And matching the temperature value of one area of the infrared image with the temperature interval of the area corresponding to the temperature image, judging whether the temperature value is positioned in the temperature interval, if so, proving that no abnormity occurs, otherwise, proving that the abnormity occurs.
If the interior of the power distribution cabinet is abnormal, the reason that the instrument data is not matched with the normal data is proved, and the high probability is caused by the abnormality of equipment in the power distribution cabinet, so that the abnormal information of the power distribution cabinet is obtained and output; if no abnormity occurs in the power distribution cabinet, the reason that the instrument data is not matched with the normal data is proved, the instrument data is abnormal due to the fact that the instrument per se is abnormal with high probability, and the instrument data can be determined to be abnormal, so that the abnormal information of the instrument is obtained and output. Thereby can with information transmission to maintenance personal's terminal equipment such as cell-phone or flat board, and then can remind maintenance personal, make things convenient for maintenance personal to have corresponding overhauls the switch board, and carry out the mode of switching through instrument data image and infrared image, can confirm the trouble of switch board to can improve the monitoring effect to the switch board.
Referring to fig. 2, in order to improve the accuracy of the abnormality determination, in another embodiment, in step S7, if no abnormality occurs, the method further includes the following steps after acquiring and outputting the meter abnormality information:
s11, acquiring the theoretical working time of the instrument capable of working normally;
s12, obtaining the current working time of the instrument;
s13, judging whether the current working time length exceeds the theoretical working time length or not;
s14, if the abnormal information exceeds the preset abnormal information, outputting the abnormal information of the instrument as normal damage;
and S15, if the abnormal information does not exceed the preset abnormal information, outputting abnormal damage to the instrument.
Specifically, when no abnormality occurs in the power distribution cabinet, the theoretical working time length during which the instrument can normally work is obtained first, wherein the theoretical working time length refers to the time length during which the instrument can normally work after leaving a factory, and can be understood as the shelf life of food, and the theoretical working time length is the shelf life length of the instrument, that is, the instrument is damaged to be a normal condition when the theoretical working time length exceeds the time length. The data is prestored in the system according to the purchase information of the instrument, and the acquisition process is the calling process.
And then, acquiring the current working time of the instrument, wherein the acquisition mode can be recording the time value of the electrified working of the instrument, then recording the current time value, and subtracting the time value of the electrified working of the instrument from the current time value, and the acquired value is the current working time.
And then judging whether the current working time length exceeds the theoretical working time length or not, so that whether the instrument exceeds the normal working time limit or not can be judged. If the current damage rate of the instrument is higher than the normal value, the output abnormal information of the instrument is normal, namely, the maintenance personnel is reminded that the instrument needs to be replaced; if the current damage rate of the instrument is not over, the fact that the current damage rate of the instrument is caused by other external factors is proved, the output abnormal information of the instrument is abnormal damage, and therefore workers are reminded to investigate the reason of the instrument damage.
Through foretell mode can further confirm that the unusual information of instrument specifically is normal damage or unusual damage, can further improve the accuracy of judging, can improve the accuracy of control judgement to can improve the monitoring effect, reduce the quantity that the staff checked the reason, can further improve the efficiency that the staff overhauld.
Referring to fig. 3, further, in order to further confirm the abnormal damage condition, in another embodiment, outputting the meter abnormal information as abnormal damage includes the following steps:
s21, obtaining vibration parameters of the power distribution cabinet;
s22, judging whether the vibration parameter is larger than a parameter threshold value;
s23, if yes, outputting abnormal damage as vibration damage;
and S24, if not, judging that the output abnormal damage is self damage.
Wherein the abnormal damage includes vibration damage and self-damage; specifically, when the current working duration exceeds the theoretical working duration, the vibration parameters of the power distribution cabinet are obtained, the vibration parameters comprise the vibration duration, the vibration frequency and the like, the vibration frequency obtaining mode can be obtained through measurement of the vibration sensor, and the vibration duration can be measured through the timer.
And then judging whether the vibration parameter is larger than a parameter threshold value, wherein the parameter threshold value comprises a frequency threshold value, a duration threshold value and the like. The judging mode can be that whether the vibration frequency is greater than a frequency threshold value or not is judged, and if the vibration frequency is greater than the frequency threshold value, the vibration parameter is proved to be greater than a parameter threshold value; otherwise, the vibration parameter is proved to be smaller than or equal to the parameter threshold value. The judging mode can also be judging whether the vibration duration is greater than a duration threshold, and if the vibration duration is greater than the duration threshold, the vibration parameter is proved to be greater than a parameter threshold; otherwise, the vibration parameter is proved to be smaller than or equal to the parameter threshold value. The specific judgment mode can be set according to the actual situation.
If the vibration parameter is larger than the parameter threshold value, the fact that the instrument is damaged is proved to be caused by vibration with high probability, and the abnormal damage output at the moment is confirmed to be vibration damage, so that the staff can be prompted to check the vibration reason.
If the vibration parameter is smaller than or equal to the parameter threshold value, the fact that the instrument is damaged is proved to be not caused by vibration with high probability, and the output abnormal damage is confirmed to be self-damaged, so that a worker can overhaul the instrument to find a problem.
Therefore, by means of the mode, the reason that the instrument is damaged can be further determined, and then the worker can be reminded, so that the worker can determine the reason of the fault more clearly, the troubleshooting difficulty is further reduced, and the maintenance convenience and efficiency are improved.
Referring to fig. 4, further, in another embodiment, before the step S24, that is, the output abnormal damage is self damage, the following steps are included:
s31, acquiring a current humidity value in the power distribution cabinet;
s32, judging whether the current humidity value is larger than a humidity threshold value or not, and obtaining a first judgment result;
s33, if the first judgment result is yes, outputting a damp damage prompt;
particularly, through the inside humidity value of moisture meter measurement acquisition switch board, current humidity value promptly, then judge whether current humidity value is greater than the humidity threshold value to obtain first judged result, can judge whether the humidity value in the current switch board can cause the damage to the normal work of instrument.
The humidity threshold is the maximum value of the humidity of the instrument in normal work, and if the humidity value exceeds the humidity threshold, the normal work of the instrument is affected, and even the instrument is damaged.
If first judged result does, it is too big to prove current humidity value in the switch board, can influence the normal use of instrument, also shows that current instrument takes place to damage the big probability because the humidity value is too big to cause, the suggestion of damaging is dampened in the output this moment to can remind the staff, remind the staff instrument to take place to damage also probably because the humidity in the switch board leads to too greatly, thereby can provide the direction of an maintenance to the staff, make things convenient for the maintainer in time to get rid of the trouble.
If the first determination result is negative, step S24 is executed, that is, the output abnormal damage is self-damage, so that the factor of humidity can be eliminated, the interference factor is reduced, and the accuracy of determination is further improved.
Further, in another embodiment, when the first determination result is yes, after the moisture damage prompt is output, in order to reduce the humidity in the power distribution cabinet, and to ensure normal operation of other devices in the power distribution cabinet as much as possible, a heating instruction is obtained at this time so that the current humidity value is less than or equal to the humidity threshold value.
The specific mode can be that, acquire the heating instruction, carry out heating work according to the heater in the heating instruction control switch board to make current humidity reduce to being less than or equal to humidity threshold value, thereby can prove the degree of dryness of switch board as far as possible, reduce the possibility that the short circuit condition takes place, and then improve the security of switch board operation in-process.
Referring to fig. 5, a plurality of electronic devices are disposed in the power distribution cabinet, and only the temperature abnormality in the power distribution cabinet is determined, and workers are further required to check the devices one by one, which is troublesome to operate, so that in order to reduce the complexity of the operation, in another embodiment, in step S6, that is, if the abnormality occurs, the following steps are further included after the abnormality information of the power distribution cabinet is obtained and output:
s41, acquiring an abnormal position based on the infrared image;
s42, acquiring the position of an electric appliance in the power distribution cabinet;
s43, acquiring a corresponding electric appliance type based on the abnormal position and the electric appliance position;
and S44, acquiring and outputting fault reason information based on the type of the electric appliance.
Specifically, an abnormality position, that is, an area where the temperature is abnormal in the infrared image, that is, an abnormality position is acquired first from the infrared image. And then, acquiring the position of an electric appliance in the power distribution cabinet, wherein the position of the electric appliance is a fixed installation position, namely the position of the electric appliance is pre-stored data.
The storage mode of the electric appliance position can be that a position picture is prestored, a plurality of installation areas of the electric appliance are arranged in the position picture, and each installation area corresponds to the electric appliance equipment. The position picture and the infrared image can be matched with each other according to the shooting proportion, so that the position of the corresponding electric appliance can be obtained in the position picture after the abnormal position is obtained, namely the corresponding electric appliance position is obtained.
Then, a corresponding electrical appliance type is obtained based on the abnormal position and the electrical position, namely after the electrical appliance position corresponding to the abnormal position is obtained, the type of electrical equipment at the corresponding position, namely the electrical appliance type, can be obtained, and the electrical appliance type can be a capacitor, a mutual inductor, a miniature circuit breaker and the like.
Finally, fault reason information can be obtained and output according to the type of the electric appliance, namely the specific model of the abnormal electric appliance can be judged according to the type of the electric appliance, so that the specific model can be matched with the pre-stored electric appliance according to the pre-stored fault reason of the electric appliance, possible fault reasons can be determined, and the fault reasons can be sent to the terminal equipment through wired or wireless communication to remind workers. Therefore, maintenance personnel can conveniently check the reasons of the fault, and the convenience of maintenance is improved.
Referring to fig. 6, in the above-mentioned determination of the cause of the fault of the power distribution cabinet, the fault is a fault with abnormal temperature, so that if the heat dissipation of the power distribution cabinet is abnormal, the temperature of the internal device of the power distribution cabinet is also abnormal. Therefore, in order to reduce the influence of heat dissipation on the temperature abnormality determination, in another embodiment, after the step S44, namely acquiring and outputting the fault cause information based on the appliance type, the following steps are further included:
s51, acquiring a fan state of a heat dissipation fan in the power distribution cabinet;
s52, judging whether the state of the heat dissipation fan is normal or not based on the state of the fan, and obtaining a second judgment result;
s53, if the second judgment result is yes, the output fault reason information is the self fault of the equipment;
and S54, if the second judgment result is negative, the output fault reason information is the fault of the heat dissipation fan.
Specifically, the fan state of the heat dissipation fan in the power distribution cabinet is obtained first, wherein the fan state refers to the rotation speed of the heat dissipation fan and the integrity of the fan. The rotating speed of the heat dissipation fan can be obtained by measuring through a rotating speed sensor, and the integrity of the fan can be obtained by shooting through a camera.
And then judging whether the state of the heat dissipation fan is normal or not according to the state of the fan, and obtaining a second judgment result, namely judging whether the heat dissipation fan works normally or not. The judging mode can be that the rotating speed is compared with a prestored speed threshold value to judge whether the rotating speed is equal or not, if the rotating speed is not equal to the prestored speed threshold value, the state of the heat dissipation fan is proved to be abnormal, namely, the second judging result is negative; meanwhile, judging whether fan blades of the cooling fan are intact or not by using a fan image of the cooling fan shot by the camera through an image recognition algorithm, if not, proving that the state of the cooling fan is abnormal, namely, judging whether the second judgment result is negative; only when the rotation speed is equal to the speed threshold value and the heat dissipation fan is intact, the state of the heat dissipation fan is proved to be normal, that is, the second judgment result is yes.
And when the second judgment result is negative, the fact that the reason of the abnormal temperature of the electrical equipment is possibly caused by abnormal heat dissipation of the heat dissipation fan is proved, and the fault reason information is output to be the fault of the heat dissipation fan at the moment, so that a worker is reminded to firstly remove the fault of the heat dissipation fan.
If the second judgment result is yes, the fact that the reason of the abnormal temperature of the electrical equipment is caused by the self abnormality of the electrical equipment is proved to have high probability, so that the reason information is output to be the self fault of the equipment at the moment, and the staff is reminded to directly overhaul the electrical equipment without overhauling the heat dissipation fan. Therefore, the accuracy of the reason judgment of the equipment can be further improved, and the time wasted in the maintenance process is reduced.
Referring to fig. 7, when the heat dissipating fan is normal, the heat dissipating fan may be abnormal due to the blocked heat dissipating port, and therefore, in another embodiment, if the second determination result is yes in step S53, the outputting the failure cause information as the device failure includes the following steps:
s61, obtaining a heat dissipation opening image of the power distribution cabinet;
s62, judging whether the heat dissipation port of the power distribution cabinet is normal or not based on the heat dissipation port image;
s63, if not, outputting fault reason information as a heat dissipation port fault;
and S64, if yes, outputting fault reason information which is the self fault of the equipment.
Specifically, when the second judgment result is yes, the heat dissipation opening image of the power distribution cabinet is acquired, the acquisition mode can be acquired through camera shooting, then whether the heat dissipation opening of the power distribution cabinet is normal or not is judged according to the heat dissipation opening image, the judgment mode can be that the heat dissipation opening image is compared with the pre-stored normal heat dissipation opening image, whether the two are matched or not is judged, and if the two are not matched, the heat dissipation opening is proved to be abnormal, namely, the heat dissipation opening is proved to be abnormal.
If not, namely the heat dissipation port of the power distribution cabinet is abnormal, the reason for the temperature abnormity is proved to be probably caused by the fault of the heat dissipation port, and the fault reason information is output to be the fault of the heat dissipation port, so that the working personnel can conveniently and timely overhaul the heat dissipation port.
If so, namely the heat dissipation port of the power distribution cabinet is normal, the temperature abnormity is proved not to be caused by heat dissipation at the moment, so that the possibility of temperature abnormity caused by external factors can be further eliminated, and the temperature abnormity is proved to be caused by the self reason of the electrical equipment at the moment with high probability, so that the fault reason information is output as the self fault of the equipment. Therefore, by the mode, the fault reason can be output more specifically, the monitoring effect can be further improved, and the maintainers can overhaul more conveniently.
The implementation principle of the monitoring method of the intelligent power distribution cabinet in the embodiment of the application is as follows: and acquiring instrument data according to the instrument data image, judging whether the instrument data is matched with normal data or not, and judging whether the instrument data is abnormal or not. If not, prove to take place unusually, acquire infrared image this moment, then judge whether the switch board is inside to take place unusually according to infrared image, can judge whether instrument data is unusual to be aroused by internal fault. If the abnormity occurs, the data abnormity is proved to be caused by the inside of the power distribution cabinet at a high probability, and the abnormal information of the power distribution cabinet is acquired and output; if no abnormity occurs, the probability proves that the abnormity is caused by the instrument, and the instrument abnormity information is acquired and output. Through the mode that instrument data image and infrared image switch over, can confirm the trouble of switch board to can improve the monitoring effect to the switch board.
The embodiment of the application also discloses a monitoring system of the intelligent power distribution cabinet, which can achieve the same technical effect as the monitoring method of the intelligent power distribution cabinet.
Referring to fig. 8, the monitoring system of the intelligent power distribution cabinet includes:
the first image acquisition module 1 is used for acquiring an instrument data image of the power distribution cabinet;
the data acquisition module 2 is used for acquiring instrument data based on the instrument data image;
the data judgment module 3 is used for judging whether the instrument data is matched with preset normal data or not;
the second image acquisition module 4 is used for acquiring the infrared image of the power distribution cabinet when the instrument data is not matched with the normal data;
the abnormality judgment module 5 is used for judging whether the inside of the power distribution cabinet is abnormal or not based on the infrared image;
the abnormal information output module 6 is used for acquiring and outputting abnormal information of the power distribution cabinet when abnormality occurs; and when no abnormity occurs, acquiring and outputting the abnormal information of the instrument.
Specifically, after acquiring an instrument data image of the power distribution cabinet, the first image acquisition module 1 sends the instrument data image to the data acquisition module 2 connected thereto. The data acquisition module 2 acquires instrument data according to the instrument data image and sends the instrument data to the data judgment module 3 connected with the data acquisition module.
The data judgment module 3 judges whether the instrument data is matched with the preset normal data or not, and sends the matched result to the second image acquisition module 4 connected with the data judgment module. And when the matching result is that the instrument data is not matched with the normal data, the second image acquisition module 4 acquires the infrared image of the power distribution cabinet and sends the infrared image to the abnormality judgment module 5 connected with the infrared image acquisition module.
The abnormity judgment module 5 judges whether the inside of the power distribution cabinet is abnormal or not according to the infrared image, and sends the obtained judgment result to an abnormity information output module 6 connected with the abnormity judgment module. When abnormality occurs, the abnormal information output module 6 acquires and outputs abnormal information of the power distribution cabinet; when no abnormality occurs, the abnormality information output module 6 acquires and outputs the abnormality information of the meter.
And then through the mode that instrument data image and infrared image switch, can confirm the trouble of switch board to can improve the monitoring effect to the switch board.
The above are preferred embodiments of the present application, and the scope of protection of the present application is not limited thereto, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (9)
1. A monitoring method of an intelligent power distribution cabinet is characterized by comprising the following steps:
acquiring an instrument data image of a power distribution cabinet;
acquiring meter data based on the meter data image;
judging whether the instrument data are matched with preset normal data or not;
if not, acquiring an infrared image of the power distribution cabinet;
judging whether the interior of the power distribution cabinet is abnormal or not based on the infrared image;
if the abnormal situation occurs, acquiring abnormal information of the power distribution cabinet and outputting the abnormal information;
if no abnormity occurs, the abnormity of the instrument is determined, and the abnormal information of the instrument is obtained and output.
2. The monitoring method according to claim 1, further comprising, after the determining that the meter is abnormal, acquiring and outputting meter abnormality information:
acquiring the theoretical working time of the instrument capable of working normally;
acquiring the current working time of the instrument;
judging whether the current working time length exceeds the theoretical working time length or not;
if the abnormal information exceeds the preset threshold value, outputting the abnormal information of the instrument as normal damage;
and if not, outputting the abnormal information of the instrument as abnormal damage.
3. The monitoring method according to claim 2, wherein said outputting the meter abnormality information as abnormal damage includes the steps of:
acquiring vibration parameters of the power distribution cabinet;
judging whether the vibration parameter is larger than a parameter threshold value;
if so, outputting the abnormal damage as vibration damage;
and if not, outputting the abnormal damage as self damage.
4. The monitoring method of claim 3, further comprising, before the abnormal damage to the output is self-damage:
acquiring a current humidity value in the power distribution cabinet;
judging whether the current humidity value is larger than a humidity threshold value or not, and obtaining a first judgment result;
if the first judgment result is yes, outputting a damp damage prompt;
and if the first judgment result is negative, entering the next step.
5. The method of monitoring of claim 4, further comprising, after said outputting a moisture damage cue:
and acquiring a heating instruction, and controlling a heater in the power distribution cabinet to heat through the heating instruction so as to enable the current humidity value to be smaller than or equal to the humidity threshold value.
6. The monitoring method according to claim 1, further comprising, after the obtaining and outputting the abnormal information of the power distribution cabinet:
acquiring an abnormal position based on the infrared image;
acquiring the position of an electric appliance in the power distribution cabinet;
acquiring a corresponding electric appliance type based on the abnormal position and the electric appliance position;
and acquiring and outputting fault reason information based on the type of the electric appliance.
7. The monitoring method according to claim 6, further comprising, after the obtaining and outputting fault cause information based on the appliance type:
acquiring the fan state of a heat dissipation fan in the power distribution cabinet;
judging whether the state of the heat dissipation fan is normal or not based on the fan state, and obtaining a second judgment result;
if the second judgment result is yes, the output fault reason information is the self fault of the equipment;
and if the second judgment result is negative, the output fault reason information is the fault of the heat dissipation fan.
8. The monitoring method according to claim 7, wherein the step of outputting the fault cause information as a fault of the device itself comprises the steps of:
acquiring a heat dissipation opening image of the power distribution cabinet;
judging whether the heat dissipation opening of the power distribution cabinet is normal or not based on the heat dissipation opening image;
if not, the output fault reason information is the fault of the heat dissipation port;
if so, the output fault reason information is the self fault of the equipment.
9. The utility model provides a monitored control system of intelligent power distribution cabinet which characterized in that includes:
the first image acquisition module (1) is used for acquiring an instrument data image of the power distribution cabinet;
a data acquisition module (2) for acquiring meter data based on the meter data image;
the data judgment module (3) is used for judging whether the instrument data are matched with preset normal data or not;
the second image acquisition module (4) is used for acquiring the infrared image of the power distribution cabinet when the instrument data is not matched with the normal data;
the abnormity judgment module (5) is used for judging whether the inside of the power distribution cabinet is abnormal or not based on the infrared image;
the abnormal information output module (6) is used for acquiring and outputting abnormal information of the power distribution cabinet when abnormality occurs; and when no abnormity occurs, acquiring and outputting the abnormal information of the instrument.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115986946A (en) * | 2023-03-21 | 2023-04-18 | 瑞佳宏智能制造(武汉)有限公司 | Power distribution cabinet remote monitoring system and method based on PERT |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115986946A (en) * | 2023-03-21 | 2023-04-18 | 瑞佳宏智能制造(武汉)有限公司 | Power distribution cabinet remote monitoring system and method based on PERT |
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