CN114646350A - Switch cabinet chassis fault early warning method, device, equipment and medium - Google Patents
Switch cabinet chassis fault early warning method, device, equipment and medium Download PDFInfo
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Abstract
The invention discloses a fault early warning method, a device, equipment and a medium for a switch cabinet chassis, which are applied to a processing center in the chassis carrying a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the method comprises the following steps: when a starting signal aiming at the switch cabinet is received, acquiring temperature data corresponding to the motor through each temperature sensor; judging abnormal points of each temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result; comparing the steady-state waveform curve with a preset fault waveform curve to determine the similarity of the curves; and if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal. Therefore, the use safety of the switch cabinet is improved by combining the consideration of the thermal fault of the chassis truck.
Description
Technical Field
The invention relates to the technical field of fault early warning, in particular to a fault early warning method, device, equipment and medium for a switch cabinet chassis.
Background
In an electric power system, a switch gear (switchgear) mainly plays a role in opening and closing, controlling and protecting electric equipment in the process of power generation, power transmission, power distribution and electric energy conversion. In order to facilitate the movement of the switch cabinet, a movable chassis vehicle is generally arranged at the lower end of the switch cabinet. The switch cabinet chassis usually carries the most important part of the switch cabinet, namely the circuit breaker, and bears the important responsibility of switching on and off the high current of the switch cabinet, so that the normal operation of the chassis is ensured, and the operation is particularly important.
Along with the progress of science and technology, intelligent development is gradually realized to the cubical switchboard, and wherein cubical switchboard chassis car has been followed hand to electronic development. The problem that the motor generates heat then exists electrically, if the motor is overheated, can lead to the hot trouble of motor, influences the normal operating of chassis car, and too high temperature also can be snowy to the temperature rise problem that switch cabinet has existed inside and add frost simultaneously, leads to the unable normal operating of switch cabinet.
For this reason, the current cubical switchboard chassis car temperature monitoring scheme is through carrying out temperature monitoring or through cubical switchboard on-line measuring to the contact and contact resistance etc. that generate heat seriously. But above-mentioned scheme is neglected the influence that thermal fault brought the chassis car easily, and the unable normal break-make of circuit breaker leads to cubical switchboard equipment to damage, and the security reduces.
Disclosure of Invention
The invention provides a fault early warning method, a fault early warning device, equipment and a medium for a switch cabinet chassis, and solves the technical problems that the influence of thermal faults on the chassis is easily ignored, a circuit breaker cannot be normally switched on and off, the switch cabinet equipment is damaged, and the safety is reduced in the conventional switch cabinet chassis temperature monitoring scheme.
The invention provides a fault early warning method for a switch cabinet chassis, which is applied to a processing center in the chassis carrying a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the method comprises the following steps:
when a starting signal aiming at the switch cabinet is received, acquiring temperature data corresponding to the motor through each temperature sensor;
judging abnormal points of the temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result;
comparing the steady-state waveform curve with a preset fault waveform curve, and determining the similarity of the curves;
and if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal.
Optionally, the step of determining an abnormal point of each temperature data according to a preset time period and constructing a steady-state waveform curve according to a determination result includes:
judging whether each temperature data has an abnormal temperature point which is greater than or equal to a preset high-temperature threshold value in a preset time period;
if yes, judging whether the number of the abnormal temperature points is smaller than a preset mis-acquisition threshold value or not;
if the number of the abnormal temperature points is smaller than the mis-collection threshold value, deleting the abnormal temperature points, and constructing a steady-state waveform curve according to the temperature data of the abnormal temperature points;
and if the number of the abnormal temperature points is greater than or equal to the mis-acquisition threshold, constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong.
Optionally, the method further comprises:
and if the abnormal temperature points which are greater than or equal to the preset high-temperature threshold value do not exist, performing curve fitting on the temperature data by adopting a high-order polynomial function model to obtain a steady-state waveform curve.
Optionally, the fault waveform curve includes fault waveform sub-curves corresponding to a plurality of fault types, respectively; the step of comparing the steady-state waveform curve with a preset fault waveform curve and determining the similarity of the curves comprises the following steps:
adjusting the preset time period corresponding to the steady-state waveform curve to the time interval which is the same as that of each fault waveform sub-curve;
respectively calculating Euclidean distances between the steady-state waveform curve and each fault waveform sub-curve;
and converting each Euclidean distance into a percentage form to obtain the curve similarity between the steady-state waveform curve and each fault waveform sub-curve.
Optionally, if the curve similarity is greater than or equal to a preset similarity threshold, the step of generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal includes:
if the curve similarity is larger than or equal to a preset similarity threshold, determining a fault type associated with the fault waveform sub-curve corresponding to the curve similarity as a target fault type;
selecting a corresponding fault maintenance scheme from a preset database according to the target fault type to generate a fault early warning signal;
and sending the fault early warning signal to a preset mobile terminal in a wireless communication mode.
Optionally, the temperature sensors are respectively mounted inside and outside the motor; the method further comprises the following steps:
when a fault early warning signal is generated, acquiring an internal temperature value acquired by a temperature sensor positioned inside the motor at the current moment, and acquiring an external temperature value acquired by a temperature sensor positioned outside the motor at the current moment;
judging whether the internal temperature value and the external temperature value are in a preset normal temperature range or not;
if the external temperature value is not in the normal temperature range and the internal temperature value is in the normal temperature range, generating a warning of overhigh temperature rise of the circuit breaker and sending the warning to the mobile terminal;
if the external temperature value is within the normal temperature range and the internal temperature value is not within the normal temperature range, generating a motor internal fault warning and sending the motor internal fault warning to the mobile terminal;
and if the external temperature value and the internal temperature value are not in the normal temperature range, disconnecting the power connection of the motor and sending a warning to be checked to the mobile terminal.
Optionally, a vibration sensor is further disposed inside the motor, and the method further includes:
when a motor internal fault warning is generated, acquiring the current and the voltage of the motor at the current moment;
judging whether the current and the voltage are within a preset normal power parameter range;
if not, generating a current and voltage fault warning and sending the current and voltage fault warning to the mobile terminal;
if so, acquiring vibration data acquired by the vibration sensor at the current moment;
judging whether the vibration data meet a plurality of preset vibration abnormal conditions or not;
if any vibration abnormal condition is met, generating warning information corresponding to the vibration abnormal condition and sending the warning information to the mobile terminal;
and if any vibration abnormal condition is not met, sending the warning to be checked to the mobile terminal.
The invention provides a switch cabinet chassis fault early warning device, which is applied to a processing center in a chassis carrying a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the device comprises:
the temperature data acquisition module is used for acquiring temperature data corresponding to the motor through each temperature sensor when receiving a starting signal aiming at the switch cabinet;
the steady-state waveform curve building module is used for judging abnormal points of the temperature data according to a preset time period and building a steady-state waveform curve according to a judgment result;
the curve similarity determining module is used for comparing the steady-state waveform curve with a preset fault waveform curve and determining the curve similarity;
and the fault early warning module is used for generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal if the curve similarity is greater than or equal to a preset similarity threshold value.
A third aspect of the present invention provides an electronic device, including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the switch cabinet chassis fault warning method according to any one of the first aspect of the present invention.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed, implements the switchgear chassis fault pre-warning method according to any one of the first aspects of the present invention.
According to the technical scheme, the invention has the following advantages:
when the processing center receives a starting signal aiming at the switch cabinet, the temperature data corresponding to the motor is collected through each temperature sensor; judging abnormal points of each temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result; comparing the steady-state waveform curve with a preset fault waveform curve to determine the similarity of the curves; and if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal. Thereby solve the influence that current cubical switchboard chassis car temperature monitoring scheme neglected hot trouble easily and brought the chassis car, the unable normal break-make of circuit breaker, and then lead to cubical switchboard equipment to damage, the technical problem that the security reduces.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a flowchart illustrating steps of a method for warning a failure of a chassis of a switch cabinet according to an embodiment of the present invention;
FIG. 2 is a schematic view of a sensor mounting location according to an embodiment of the present invention;
FIG. 3 is a schematic view of a processing center installation location in an embodiment of the present invention;
fig. 4 is a block diagram of a structure of a switchgear chassis fault early warning device according to a second embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a fault early warning method, a fault early warning device, equipment and a medium for a switch cabinet chassis, and aims to solve the technical problems that the influence of thermal faults on the chassis is easily ignored, a circuit breaker cannot be normally switched on and off, the switch cabinet equipment is damaged, and the safety is reduced in the conventional temperature monitoring scheme for the switch cabinet chassis.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a switchgear chassis fault early warning method according to an embodiment of the present invention.
The invention provides a fault early warning method for a switch cabinet chassis, which is applied to a processing center in the chassis bearing a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the method comprises the following steps:
the processing center refers to an AI edge computing device with a small size and low power consumption, which has a strong data processing capability and can perform rapid analysis processing on the acquired signals to realize rapid early warning, such as Jetson Nano.
Because the current switch cabinet temperature monitoring device mainly only aims at contacts and contact resistances which generate heat seriously, the consequence of the chassis truck brought by thermal faults is ignored, the circuit breaker can not be normally switched on or off, and even if the faults are serious, the motor is on fire, and the circuit breaker and the contacts thereof which are important parts of the switch cabinet and are borne on the chassis truck can be affected. Therefore, the online detection of the temperature of the chassis of the switch cabinet is an extremely important point which is easy to ignore in the online monitoring of the switch cabinet at present. Meanwhile, the current temperature sensor is usually in a working state all the time, which not only influences the service life of the sensor, but also collects unnecessary data to perform unnecessary processing work.
Therefore, the processing center is integrated into the chassis carrying the switch cabinet, and the monitoring preparation is carried out in a mode that a plurality of temperature sensors are arranged inside and outside the motor in the chassis. When the processing center of the chassis car receives a starting signal that the switch cabinet is started, each temperature sensor is started to collect the temperature inside and outside the motor, and therefore temperature data are obtained and serve as the data basis of subsequent processing.
It should be noted that the temperature sensor 201 may be separately fixed to the inner bearing of the motor and the surface of the motor, or may be integrated with other sensors such as a vibration sensor and the like and fixed to the inner bearing of the motor and the surface of the motor, see fig. 2, and the processing center 301 may be integrated with a wireless communication module and fixed on the hand truck, see fig. 3.
102, judging abnormal points of each temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result;
in the embodiment of the present invention, in order to further improve the data processing efficiency and accuracy, abnormal point judgment may be performed on the temperature data acquired from each position in a preset time period manner, so as to determine whether each position of the motor is abnormal in the preset time period, and a steady-state waveform curve is constructed based on a judgment result of the abnormal point judgment.
The steady-state waveform curve refers to a waveform diagram of a wave-propagating medium at a certain moment, and is a shape of the medium at the moment, such as a change situation of temperature data in a preset time period.
Optionally, step 102 may comprise the sub-steps of:
judging whether each temperature data has an abnormal temperature point which is greater than or equal to a preset high-temperature threshold value in a preset time period;
if yes, judging whether the number of the abnormal temperature points is smaller than a preset mis-acquisition threshold value or not;
if the number of the abnormal temperature points is smaller than the error collection threshold value, deleting the abnormal temperature points, and constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong;
and if the number of the abnormal temperature points is greater than or equal to the error collection threshold, constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong.
In an example of the invention, since the use of the switch cabinet may cause overheating of the motor, after the temperature data of each position of the motor is acquired, whether each temperature data has an abnormal temperature point greater than or equal to a preset high temperature threshold value within a preset time period may be determined in parallel. If the abnormal temperature points exist, the number of the abnormal temperature points is further compared with a preset false acquisition threshold value. For example, if only one or two abnormal temperature points occur within a preset time period, it may be determined that the temperature sensor has a collection error. At this time, a steady-state waveform curve is constructed according to the remaining temperature data after the abnormal temperature point is deleted.
If the number of the abnormal temperature points is greater than or equal to the preset erroneous collection threshold value, for example, three or more abnormal temperature points appear in the preset time period, it is determined that the temperature sensor is normally collected, and a steady-state waveform curve can be directly constructed according to the temperature data to which the abnormal temperature points belong.
Further, step 102 may also include the following sub-steps:
and if the abnormal temperature points which are greater than or equal to the preset high-temperature threshold value do not exist, performing curve fitting on each temperature data by adopting a high-order polynomial function model to obtain a steady-state waveform curve.
In another example of the present invention, the high temperature threshold is typically set to meet the severe failure condition. In actual operation, the fault can not be directly judged, and in order to ensure timely judgment of the fault, when an abnormal temperature point which is greater than or equal to a preset high-temperature threshold value does not exist, curve fitting can be performed on the fault by adopting a high-order polynomial function model based on current temperature data, so that prediction of future waveforms by adopting the current temperature data is realized, and a new steady-state waveform curve is obtained.
It should be noted that after the steady-state waveform curve is generated in step 101, a high-order polynomial function model may be used to fit these data back to a function according to the abnormal temperature points that have occurred, and then a future waveform output is predicted according to the function to obtain a new steady-state waveform curve.
103, comparing the steady-state waveform curve with a preset fault waveform curve, and determining the similarity of the curves;
in the embodiment of the invention, in order to ensure the accuracy of fault detection, a corresponding fault waveform curve storage database can be arranged in the processing center, and the curve similarity is determined by comparing the steady-state waveform curve with the preset fault waveform curve, so as to provide a data basis for subsequently judging faults.
In one example of the present invention, the fault waveform profile includes fault waveform sub-profiles corresponding to a plurality of fault types, respectively, and step 103 may include the sub-steps of:
adjusting the preset time period corresponding to the steady-state waveform curve to the time interval which is the same as that of each fault waveform sub-curve;
respectively calculating Euclidean distances between a steady-state waveform curve and each fault waveform sub-curve;
and converting each Euclidean distance into a percentage form to obtain the curve similarity between the steady-state waveform curve and each fault waveform sub-curve.
In the embodiment of the present invention, the fault waveform curve may include fault waveform sub-curves corresponding to distribution of multiple fault types, and to calculate the curve similarity between the curves, a preset time period corresponding to the steady-state waveform curve may be adjusted to a time interval in which each fault waveform sub-curve is the same, and further, the euclidean distance between the steady-state waveform curve and each fault waveform sub-curve is calculated and converted into a percentage form, so as to obtain the curve similarity between the steady-state waveform curve and each fault waveform sub-curve.
For example, each inflection point, vertex, and valley point of the curve may be selected for calculation when calculating the euclidean distance, or may be calculated one by one according to the temperature data, which is not limited in this embodiment of the present invention.
And 104, if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal.
Optionally, step 104 may include the following sub-steps:
if the curve similarity is larger than or equal to a preset similarity threshold, determining a fault type associated with the fault waveform sub-curve corresponding to the curve similarity as a target fault type;
selecting a corresponding fault maintenance scheme from a preset database according to the target fault type to generate a fault early warning signal;
and sending a fault early warning signal to a preset mobile terminal in a wireless communication mode.
In the embodiment of the present invention, after the curve similarity is calculated, in order to determine the specific fault type of the steady-state waveform curve, the curve similarity may be further compared with a preset similarity threshold. If the curve similarity is larger than or equal to the preset similarity threshold, the similarity between the steady-state waveform curve and the fault waveform sub-curve of the fault type is high, the chassis vehicle is judged to have the fault of the fault type, and the fault is taken as the target fault type. And further, a preset database of the processing center is retrieved according to the target fault type, a corresponding fault maintenance scheme is selected from the database, a fault early warning signal is generated and sent to a preset mobile terminal in a wireless communication mode, so that the chassis fault is warned and informed of the fault maintenance scheme, and the control loss while the occurrence of serious faults is avoided.
The similarity threshold value can be set to 85%, if the similarity of a plurality of identical curves occurs at the same time, it is judged that the chassis vehicle has multiple faults, and a corresponding multiple fault maintenance scheme is selected to be sent.
In another example of the present invention, temperature sensors are respectively mounted inside and outside the motor; the method may further include the following steps S11-S15:
s11, when a fault early warning signal is generated, acquiring an internal temperature value acquired by a temperature sensor positioned inside the motor at the current moment, and acquiring an external temperature value acquired by a temperature sensor positioned outside the motor at the current moment;
s12, judging whether the internal temperature value and the external temperature value are in a preset normal temperature range;
in the embodiment of the invention, in order to reduce the equipment loss as much as possible before the arrival of monitoring personnel, the fault early warning signal is generated, and meanwhile, the internal temperature value acquired by the temperature sensor positioned in the motor at the current moment and the external temperature value acquired by the temperature sensor positioned outside the motor at the current moment can be acquired. And comparing the internal temperature value with the external temperature value with a preset normal temperature range to judge whether the internal temperature value is abnormal or not.
S13, if the external temperature value is not in the normal temperature range and the internal temperature value is in the normal temperature range, generating a warning of overhigh temperature rise of the circuit breaker and sending the warning to the mobile terminal;
if the external temperature value is not in the normal temperature range, and the internal temperature value is in the normal temperature range, it indicates that the fault position may be other parts of the switch cabinet at the moment, for example, the temperature rise of the circuit breaker is too high, and at the moment, an alarm of the too high temperature rise of the circuit breaker can be generated and sent to the mobile terminal.
S14, if the external temperature value is in the normal temperature range and the internal temperature value is not in the normal temperature range, generating a motor internal fault warning and sending the motor internal fault warning to the mobile terminal;
if the external temperature value is in the normal temperature range, and the internal temperature value is not in the normal temperature range, the external influence of the motor can be eliminated at the moment, the abnormal temperature rise position is inside the motor, and the internal fault warning of the motor can be generated and sent to the mobile terminal at the moment.
And S15, if the external temperature value and the internal temperature value are not in the normal temperature range, disconnecting the power connection of the motor and sending a warning to be checked to the mobile terminal.
If the external temperature value and the internal temperature value are not within the normal temperature range, the chassis vehicle is indicated to possibly have serious faults at the moment, the mobile terminal needs to be fed back immediately, the power connection of the motor can be disconnected to stop the motor from running, the motor is prevented from being burnt to damage other important equipment in the switch cabinet, meanwhile, a warning to be investigated is sent to the mobile terminal, manual shaking in and out is suggested to be started, and the switching-off function of the switch equipment is prevented from being influenced. The work of the switch cabinet is stopped, and the temperature rise is conducted to the motor when the motor fault or the breaker fault is serious is manually checked.
Further, a vibration sensor is arranged inside the motor, and the method further comprises the following steps of S21-S27:
s21, when a fault warning in the motor is generated, acquiring the current and the voltage of the motor at the current moment;
s22, judging whether the current and the voltage are within a preset normal power parameter range;
s23, if not, generating a current and voltage fault warning and sending the current and voltage fault warning to the mobile terminal;
in one example of the invention, the current and voltage of the motor at the present time may be obtained while generating the motor internal fault warning by comparing whether the current and voltage are within normal power parameters. If any one of the fault signals is not in the normal power parameter range, the fault signal indicates that the internal fault of the motor at the moment is possibly caused by the motor overheating caused by the over-current or over-voltage, and a current-voltage fault warning is generated and sent to the mobile terminal.
S24, if yes, obtaining vibration data collected by the vibration sensor at the current moment;
s25, judging whether the vibration data meet a plurality of preset vibration abnormal conditions;
s26, if any vibration abnormal condition is met, generating warning information corresponding to the vibration abnormal condition and sending the warning information to the mobile terminal;
and S27, if any vibration abnormal condition is not met, sending a warning to be checked to the mobile terminal.
In the embodiment of the invention, a vibration sensor can be arranged in the motor and can be arranged on the rotating shaft. If the current and the voltage are both in the normal electric power parameter range, the internal fault of the motor is indicated to be caused by other reasons, the vibration data acquired by the vibration sensor at the current moment can be acquired, and the specific reason of the internal fault of the motor is judged according to the comparison condition of the vibration data and a plurality of abnormal vibration conditions. If any vibration abnormal condition is met, generating warning information corresponding to the vibration abnormal condition and sending the warning information to the mobile terminal; if any vibration abnormal condition is not met, the processing center cannot determine the specific fault position at the moment, and a warning to be checked is sent to the mobile terminal.
It should be noted that, after receiving the fault reason and the waveform data input by the user in response to the warning to be investigated, the processing center updates the fault waveform sub-curve, the abnormal vibration condition, and the like.
Specifically, the vibration anomaly condition may include, but is not limited to: 1) the vibration signal is intermittent, is small and large, and has higher frequency conversion vibration dominating, and the frequency conversion vibration component is more than or equal to more than 80% of the pass frequency vibration component; 2) the failure frequency is irregular; 3) the vibration waveform frequency is 2 times the power supply frequency, and if the power supply is cut off, the vibration disappears immediately.
In the concrete implementation, if a vibration sensor also generates a violent vibration signal, the vibration caused by the motor is mostly due to poor dynamic balance of the rotor, so whether the motor generates heat seriously due to the vibration of the motor caused by the rotor fault is considered firstly, the vibration waveform is checked, and whether the following characteristics are presented or not is judged: the vibration signal is intermittent, large and small, and higher frequency conversion vibration is dominant, and generally the frequency conversion vibration component is greater than or equal to more than 80% of the pass frequency vibration component. If the rotor is in accordance with the requirement, namely the feedback fault can be rotor unbalance, the method proposes to check whether the rotor is caused by the defect of asymmetric mass eccentricity, improper installation or deformation of the rotor part during operation. The rate at which the shaft is running, the vibration transfer factor of the housing and bearings, and the bearing surface damage pattern, among other things, determine the frequency of vibration due to bearing anomalies, so that all anomalous bearings will not vibrate at a particular frequency, but generally a bearing with a higher frequency of vibration will indicate more severe damage to the shaft or a higher rotational speed. When the failure frequency of the internal vibration sensor is irregular, the feedback terminal recommends to consider that the bearing works abnormally, and the motor is heated certainly because the bearing works abnormally. The vibration waveform frequency is 2 times of the power supply frequency, and if the power supply is cut off, the vibration disappears immediately, which causes the motor failure due to the stator abnormality. The client is suggested to first check whether it is three-phase asymmetric; if harmonic components of 4f, 6f, 8f can occur in addition to the basic component of 2f, it is advisable to check whether the stator core and the stator coils are loose.
In the embodiment of the invention, when a processing center receives a starting signal aiming at a switch cabinet, temperature data corresponding to a motor is collected through each temperature sensor; judging abnormal points of each temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result; comparing the steady-state waveform curve with a preset fault waveform curve to determine the similarity of the curves; and if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal. Thereby solve the influence that current cubical switchboard chassis car temperature monitoring scheme neglected hot trouble easily and brought the chassis car, the unable normal break-make of circuit breaker, and then lead to cubical switchboard equipment to damage, the technical problem that the security reduces.
Referring to fig. 4, fig. 4 is a block diagram of a switch cabinet chassis fault early warning device according to a second embodiment of the present invention.
The embodiment of the invention provides a fault early warning device for a switch cabinet chassis, which is applied to a processing center in the chassis bearing a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the device comprises:
the temperature data acquisition module 401 is configured to acquire temperature data corresponding to the motor through each temperature sensor when receiving a start signal for the switch cabinet;
a steady-state waveform curve constructing module 402, configured to perform abnormal point judgment on each temperature data according to a preset time period, and construct a steady-state waveform curve according to a judgment result;
a curve similarity determining module 403, configured to compare the steady-state waveform curve with a preset fault waveform curve, and determine a curve similarity;
and a fault early warning module 404, configured to generate a fault early warning signal and send the fault early warning signal to a preset mobile terminal if the curve similarity is greater than or equal to a preset similarity threshold.
Optionally, the steady-state wave form curve constructing module 402 is specifically configured to:
judging whether each temperature data has an abnormal temperature point which is greater than or equal to a preset high-temperature threshold value in a preset time period;
if yes, judging whether the number of the abnormal temperature points is smaller than a preset mis-acquisition threshold value or not;
if the number of the abnormal temperature points is smaller than the error collection threshold value, deleting the abnormal temperature points, and constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong;
and if the number of the abnormal temperature points is greater than or equal to the error collection threshold, constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong.
Optionally, the steady-state wave form curve constructing module 402 further comprises:
and if the abnormal temperature points which are greater than or equal to the preset high-temperature threshold value do not exist, performing curve fitting on each temperature data by adopting a high-order polynomial function model to obtain a steady-state waveform curve.
Optionally, the fault waveform curve includes fault waveform sub-curves corresponding to the plurality of fault types, respectively; the curve similarity determination module 403 is specifically configured to:
adjusting the preset time period corresponding to the steady-state waveform curve to the time interval which is the same as that of each fault waveform sub-curve;
respectively calculating Euclidean distances between a steady-state waveform curve and each fault waveform sub-curve;
and converting each Euclidean distance into a percentage form to obtain the curve similarity between the steady-state waveform curve and each fault waveform sub-curve.
Optionally, the fault pre-warning module 404 is specifically configured to:
if the curve similarity is larger than or equal to a preset similarity threshold, determining a fault type associated with the fault waveform sub-curve corresponding to the curve similarity as a target fault type;
selecting a corresponding fault maintenance scheme from a preset database according to the target fault type to generate a fault early warning signal;
and sending a fault early warning signal to a preset mobile terminal in a wireless communication mode.
Optionally, the temperature sensors are respectively loaded inside and outside the motor; the device still includes:
the current temperature value acquisition module is used for acquiring an internal temperature value acquired by a temperature sensor positioned inside the motor at the current moment and acquiring an external temperature value acquired by a temperature sensor positioned outside the motor at the current moment when the fault early warning signal is generated;
the normal temperature judging module is used for judging whether the internal temperature value and the external temperature value are in a preset normal temperature range or not;
the first temperature judgment module is used for generating a warning of overhigh temperature rise of the circuit breaker and sending the warning to the mobile terminal if the external temperature value is not in the normal temperature range and the internal temperature value is in the normal temperature range;
the second temperature judgment module is used for generating a motor internal fault warning and sending the motor internal fault warning to the mobile terminal if the external temperature value is within the normal temperature range and the internal temperature value is not within the normal temperature range;
and the third temperature judgment module is used for disconnecting the power connection of the motor and sending a warning to be checked to the mobile terminal if the external temperature value and the internal temperature value are not in the normal temperature range.
Optionally, the inside vibration sensor that still is equipped with of motor, the device still includes:
the power parameter acquisition module is used for acquiring the current and the voltage of the motor at the current moment when the fault warning in the motor is generated;
the power parameter range judging module is used for judging whether the current and the voltage are in a preset normal power parameter range or not;
the current and voltage fault warning sending module is used for generating a current and voltage fault warning and sending the current and voltage fault warning to the mobile terminal if the current and voltage fault warning is not sent to the mobile terminal;
the vibration data acquisition module is used for acquiring vibration data acquired by the vibration sensor at the current moment if the vibration data acquisition module is yes;
the vibration abnormal condition judging module is used for judging whether the vibration data meet a plurality of preset vibration abnormal conditions;
the warning information sending module is used for generating warning information corresponding to the abnormal vibration condition and sending the warning information to the mobile terminal if any abnormal vibration condition is met;
and the warning to be investigated sending module is used for sending the warning to be investigated to the mobile terminal if any vibration abnormal condition is not met.
The embodiment of the invention also provides electronic equipment, which comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the switch cabinet chassis fault early warning method according to any embodiment of the invention.
The embodiment of the invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed, the fault early warning method for a switch cabinet chassis according to any embodiment of the invention is realized.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A fault early warning method for a switch cabinet chassis is characterized by being applied to a processing center in the chassis carrying a switch cabinet, wherein the chassis comprises a motor and a plurality of temperature sensors, and the method comprises the following steps:
when a starting signal aiming at the switch cabinet is received, acquiring temperature data corresponding to the motor through each temperature sensor;
judging abnormal points of the temperature data according to a preset time period, and constructing a steady-state waveform curve according to a judgment result;
comparing the steady-state waveform curve with a preset fault waveform curve to determine the similarity of the curves;
and if the curve similarity is greater than or equal to a preset similarity threshold, generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal.
2. The method according to claim 1, wherein the step of determining the abnormal point of each of the temperature data according to a preset time period and constructing a steady-state waveform curve according to the determination result comprises:
judging whether each temperature data has an abnormal temperature point which is greater than or equal to a preset high-temperature threshold value in a preset time period;
if yes, judging whether the number of the abnormal temperature points is smaller than a preset mis-acquisition threshold value or not;
if the number of the abnormal temperature points is smaller than the mis-collection threshold value, deleting the abnormal temperature points, and constructing a steady-state waveform curve according to the temperature data of the abnormal temperature points;
and if the number of the abnormal temperature points is greater than or equal to the mis-acquisition threshold, constructing a steady-state waveform curve according to the temperature data to which the abnormal temperature points belong.
3. The method of claim 2, further comprising:
and if the abnormal temperature point which is greater than or equal to the preset high-temperature threshold value does not exist, performing curve fitting on each temperature data by adopting a high-order polynomial function model to obtain a steady-state waveform curve.
4. The method of claim 1, wherein the fault waveform profile includes fault waveform sub-profiles corresponding to a plurality of fault types, respectively; the step of comparing the steady-state waveform curve with a preset fault waveform curve and determining the similarity of the curves comprises the following steps:
adjusting the preset time period corresponding to the steady-state waveform curve to the time interval which is the same as that of each fault waveform sub-curve;
respectively calculating Euclidean distances between the steady-state waveform curve and each fault waveform sub-curve;
and converting each Euclidean distance into a percentage form to obtain the curve similarity between the steady-state waveform curve and each fault waveform sub-curve.
5. The method according to claim 4, wherein the step of generating and sending a fault warning signal to a preset mobile terminal if the curve similarity is greater than or equal to a preset similarity threshold value comprises:
if the curve similarity is larger than or equal to a preset similarity threshold, determining a fault type associated with the fault waveform sub-curve corresponding to the curve similarity as a target fault type;
selecting a corresponding fault maintenance scheme from a preset database according to the target fault type to generate a fault early warning signal;
and sending the fault early warning signal to a preset mobile terminal in a wireless communication mode.
6. The method according to any one of claims 1-5, wherein the temperature sensors are respectively mounted inside and outside the motor; the method further comprises the following steps:
when a fault early warning signal is generated, acquiring an internal temperature value acquired by a temperature sensor positioned inside the motor at the current moment, and acquiring an external temperature value acquired by a temperature sensor positioned outside the motor at the current moment;
judging whether the internal temperature value and the external temperature value are within a preset normal temperature range or not;
if the external temperature value is not in the normal temperature range and the internal temperature value is in the normal temperature range, generating a warning of overhigh temperature rise of the circuit breaker and sending the warning to the mobile terminal;
if the external temperature value is within the normal temperature range and the internal temperature value is not within the normal temperature range, generating a motor internal fault warning and sending the motor internal fault warning to the mobile terminal;
and if the external temperature value and the internal temperature value are not in the normal temperature range, disconnecting the power connection of the motor and sending a warning to be checked to the mobile terminal.
7. The method of claim 6, wherein a vibration sensor is further disposed within the motor, the method further comprising:
when a fault warning inside the motor is generated, acquiring the current and the voltage of the motor at the current moment;
judging whether the current and the voltage are within a preset normal power parameter range;
if not, generating a current and voltage fault warning and sending the current and voltage fault warning to the mobile terminal;
if so, acquiring vibration data acquired by the vibration sensor at the current moment;
judging whether the vibration data meet a plurality of preset vibration abnormal conditions or not;
if any vibration abnormal condition is met, generating warning information corresponding to the vibration abnormal condition and sending the warning information to the mobile terminal;
and if any vibration abnormal condition is not met, sending the warning to be checked to the mobile terminal.
8. The utility model provides a cubical switchboard chassis car trouble early warning device which characterized in that is applied to the processing center in the chassis car that bears the cubical switchboard, the chassis car includes motor and a plurality of temperature sensor, the device includes:
the temperature data acquisition module is used for acquiring temperature data corresponding to the motor through each temperature sensor when receiving a starting signal aiming at the switch cabinet;
the steady-state waveform curve building module is used for judging abnormal points of the temperature data according to a preset time interval and building a steady-state waveform curve according to a judgment result;
the curve similarity determining module is used for comparing the steady-state waveform curve with a preset fault waveform curve and determining the curve similarity;
and the fault early warning module is used for generating a fault early warning signal and sending the fault early warning signal to a preset mobile terminal if the curve similarity is greater than or equal to a preset similarity threshold value.
9. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the switchgear chassis fault pre-warning method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, implements the switchgear chassis fault pre-warning method according to any of claims 1 to 7.
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