CN113916281A - Distribution room monitoring method and system - Google Patents
Distribution room monitoring method and system Download PDFInfo
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- CN113916281A CN113916281A CN202111040612.XA CN202111040612A CN113916281A CN 113916281 A CN113916281 A CN 113916281A CN 202111040612 A CN202111040612 A CN 202111040612A CN 113916281 A CN113916281 A CN 113916281A
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Abstract
The invention provides a power distribution room monitoring method and system, and relates to the technical field of power distribution room monitoring. The method comprises the following steps: s1: acquiring data of a temperature sensor, a humidity sensor, a gas sensor and a noise sensor; s2: carrying out data fusion on the sensor data, and calculating the failure occurrence probability of the distribution room; s3: and judging whether the failure probability of the power distribution room reaches a threshold value, if so, sending alarm information, and if not, returning to execute the step S1. According to the technical scheme, the noise is used as one of the distribution room equipment fault early warning indexes and is subjected to multi-information fusion with various indexes monitored by the temperature sensor, the humidity sensor and the gas sensor, whether the distribution room indexes are normal or not can be comprehensively evaluated, the timeliness and the accuracy of early warning are improved, and the false alarm rate is reduced.
Description
Technical Field
The invention relates to the technical field of distribution room monitoring, in particular to a distribution room monitoring method and system.
Background
The distribution room is an indoor distribution place with low-voltage load and mainly distributes electric energy for low-voltage users, the distribution room is numerous and distributed, great manpower resources are occupied by operation and maintenance work, and the real-time detection of the noise of the distribution room is helpful for judging whether equipment is overloaded or damaged and reducing noise pollution; however, most of the existing distribution room noise sensing devices do not have a wireless communication function, noise data cannot be uploaded in real time, the noise data acquired by detection personnel is obviously delayed, and meanwhile, the existing distribution room noise sensing devices are often used as single sensing devices and are not communicated with other state monitoring devices in a unified mode, so that information gaps exist among early warning indexes, and the distribution room noise sensing devices cannot be fused to judge the conditions of the distribution room.
Publication No.: CN205427599U, 2016-08-03, this utility model can detect environmental factors such as soaking, conflagration, humidity, temperature and SF6 gas concentration in the electricity distribution room to connect communication device through the controller and upload sensor data. However, the monitoring system cannot monitor noise information, cannot perform fusion processing on sensor data, can only judge the state of a distribution room through single sensor data, and is easy to misjudge.
Disclosure of Invention
The invention provides a distribution room monitoring method and system for judging the condition of a distribution room by combining noise data fusion to overcome the technical problems.
The technical scheme of the invention is as follows:
a distribution room monitoring method and system, comprising:
s1: acquiring data of a temperature sensor, a humidity sensor, a gas sensor and a noise sensor;
s2: carrying out data fusion on the sensor data, and calculating the failure occurrence probability of the distribution room;
s3: and judging whether the failure probability of the power distribution room reaches a threshold value, if so, sending alarm information, and if not, returning to execute the step S1.
According to the power distribution room monitoring method, noise is used as one of power distribution room equipment fault early warning indexes and is subjected to multi-information fusion with various indexes monitored by the temperature sensor, the humidity sensor and the gas sensor, whether the power distribution room indexes are normal or not can be comprehensively evaluated, the timeliness and the accuracy of early warning are improved, and the false alarm rate is reduced.
Further, the step S2 of calculating the distribution room fault occurrence probability includes the steps of:
s21: calculating a sensor data normalization coefficient, wherein the calculation formula is as follows:
K＝∑i＝1，2，3ma(i)·mb(i)·mc(i)·md(i)；
s22: calculating the fault occurrence probability according to the normalized coefficient, wherein the formula is as follows:
where K is a normalization coefficient, i is 1, 2, and 3 respectively indicate that the discrimination event is a fault, no fault, and indeterminate, and m isa(i)，mb(i)，mc(i)，md(i) Respectively representing the probability of judging the event i according to the temperature sensor data, the humidity sensor data, the gas sensor data and the noise information, and m (i) is the probability of judging the event i after information fusion.
Further, the gas sensor may monitor concentration data of SF 6.
Further, the gas sensor may also monitor O3 and O2The concentration data of (c).
The invention also provides a distribution room monitoring system, comprising: the device comprises a temperature sensor, a humidity sensor, a gas sensor, a noise sensor, a processor, a communication module, a power supply module and an upper computer; the power module is temperature sensor, humidity transducer, gas sensor, noise sensor, treater power supply, temperature sensor, humidity transducer, gas sensor and noise sensor set up in the electricity distribution room, and temperature sensor, humidity transducer, gas sensor and noise sensor's output and treater electricity are connected, and the treater transmits communication module after with the sensor data processing of receiving, and the host computer acquires through communication module sensor data, host computer carry out data fusion to sensor data, calculate electricity distribution room trouble probability of occurrence, if electricity distribution room trouble probability reaches the threshold value, then send alarm information, if not reach the threshold value, then acquire sensor data again.
This technical scheme has provided electricity distribution room monitoring system, converts sound signal to the signal of telecommunication transmission to the host computer through noise sensor to adopt communication protocol's communication module, can transmit multiple sensor data, the host computer fuses to multiple data, can assess more comprehensively whether electricity distribution room index is normal, helps improving the timeliness and the degree of accuracy of early warning.
Further, the noise sensor adopts a capacitance standing probe based on MEMS packaging technology.
Further, the communication module comprises a wired communication module and a wireless communication module, the processor is a single chip microcomputer, the processor is respectively connected with the wired communication module and the wireless communication module through a UART serial port, and the processor is connected with the noise sensor through an IIC serial port.
Further, the gas sensor is SF6A sensor.
Further, the gas sensor is O2Sensor, O3Sensor and SF6Sensor, said O2Sensor, O3Sensor, SF6The output ends of the sensors are connected with the processor.
Further, the power module is a rechargeable lithium battery.
The invention provides a power distribution room monitoring method and a power distribution room monitoring system, and compared with the prior art, the technical scheme of the invention has the beneficial effects that: according to the power distribution room monitoring method, noise is used as one of power distribution room equipment fault early warning indexes and is subjected to multi-information fusion with various indexes such as temperature, gas and humidity, whether the power distribution room indexes are normal or not can be comprehensively evaluated, the timeliness and the accuracy of early warning are improved, and the false alarm rate is reduced; according to the power distribution room monitoring system, the noise sensor converts the sound signal into the electric signal to be transmitted to the upper computer, the communication module with the unified communication protocol is adopted, various sensor data can be transmitted, and the upper computer fuses various data, so that whether the indexes of the power distribution room are normal or not can be comprehensively evaluated, and the timeliness and the accuracy of early warning can be improved.
Drawings
FIG. 1 is a diagram of the steps of an alarm method of the present invention;
FIG. 2 is a schematic diagram of alarm system components;
FIG. 3 is a schematic diagram of a noise sensor;
FIG. 4 is a schematic diagram of a power module;
fig. 5 is a schematic diagram of the uncertainty of the single sensor early warning mechanism.
Detailed Description
For clarity of explanation, the present invention will be further described with reference to the following examples and drawings, but the scope of the present invention should not be limited thereby.
Example 1
A distribution room monitoring method, as shown in fig. 1, the method comprising the steps of:
s1: acquiring data of a temperature sensor, a humidity sensor, a gas sensor and a noise sensor;
s2: carrying out data fusion on the sensor data, and calculating the failure occurrence probability of the distribution room;
s3: and sending alarm information when the failure probability of the power distribution room reaches a threshold value.
According to the technical scheme, the noise is used as one of the distribution room equipment fault early warning indexes and is subjected to multi-information fusion with various indexes monitored by the temperature sensor, the humidity sensor and the gas sensor, whether the distribution room indexes are normal or not can be comprehensively evaluated, the timeliness and the accuracy of early warning are improved, and the false alarm rate is reduced.
Example 2
The distribution room monitoring method is shown in a step diagram in fig. 1, and comprises the following steps:
s1: acquiring data of a temperature sensor, a humidity sensor, a gas sensor and a noise sensor;
s2: carrying out data fusion on the sensor data, and calculating the failure occurrence probability of the distribution room;
the method for calculating the fault occurrence probability of the power distribution room comprises the following steps:
s21: calculating a sensor data normalization coefficient, wherein the calculation formula is as follows:
K＝∑i＝1，2，3ma(i)·mb(i)·mc(i)·md(i)；
s22: calculating the fault occurrence probability according to the normalized coefficient, wherein the formula is as follows:
where K is a normalization coefficient, i is 1, 2, and 3 respectively indicate that the discrimination event is a fault, no fault, and indeterminate, and m isa(i)，mb(i)，mc(i)，md(i) Respectively representing the probability of judging the event i according to the data of the temperature sensor, the humidity sensor, the gas sensor and the noise information, and m (i) is the probability of judging the event i after information fusion.
In this embodiment, the gas sensor is SF6Sensor, m in the formula of step S21 and step S22a(i)，mb(i)，mc(i)，md(i) Respectively according to temperature data, humidity data, SF6The density data and the noise data are discriminated as the probability of the event i. At present, the main equipment of most 10KV distribution rooms and switchgears is an SF6 (sulfur hexafluoride) ring main unit, which can be divided into: full-insulation SF6 circuit breaker, semi-insulation SF6 circuit breaker, full-insulation SF6 load switch and semi-insulation SF6 load switch. In the ring main unit, SF6 is decomposed into strong corrosive and strong toxic substances such as SF4, S2F2, S2F10 SOF2, HF and S02 under the action of electric arc or high temperature. These substances can irritate the skin and eyes, causing severe damage to the mucous membranes. If the human body is in large quantityInhalation can cause dizziness and pulmonary edema, and even suffocation death. SF6 leakage can reduce the arc extinguishing capability of the ring main unit of the power distribution station, and easily causes the explosion accident of the ring main unit; leaked SF6 can be accumulated in indoor lower-layer space, so that local hypoxia and toxicity are caused, and the personal safety of operation and maintenance personnel is threatened; thus using SF6Sensor monitoring distribution room SF6The concentration is of great significance.
In other embodiments of the present invention, the gas sensor may also be O2Sensor, m in the formula of step S21 and step S22a(i)，mb(i)，mc(i)，md(i) Respectively according to temperature data, humidity data, O2The density data and the noise data are discriminated as the probability of the event i. The temperature, humidity, oxygen concentration and noise conditions of the distribution room can be monitored.
S3: and sending alarm information when the failure probability of the power distribution room reaches a threshold value.
The single index early warning mechanism is a single early warning mechanism which gives an alarm when a detection value of a certain sensor is larger than a set threshold value and judges an abnormal condition by using a single sensor, when the data of the sensor is in an intermediate state of the threshold value and a normal value, high uncertainty exists, as shown in fig. 5, the operation condition of the power distribution room can be divided into no fault, fault and uncertainty, the abscissa is the value of the sensor from the normal working condition value to the threshold value, a certain curve in an operation event probability graph of the fault of the power distribution room, namely the no fault probability is 1 under the normal working condition value, and the fault probability is 0; the probability of no fault is 0 and the probability of fault is 1 when the threshold value is reached; between the normal operating condition value and the threshold value, a certain uncertainty exists when the conditions that P (no fault) + P (uncertain) ═ 1 are met. The sensor multi-information fusion early warning system based on the D-S evidence theory can send out early warning before the system fails but a single index does not reach a threshold value by utilizing the relevance of simultaneous increase of all early warning index values when the system fails, and measures can be taken in time.
According to the technical scheme, the noise is used as one of the distribution room equipment fault early warning indexes and is subjected to multi-information fusion with various indexes monitored by the temperature sensor, the humidity sensor and the gas sensor, whether the distribution room indexes are normal or not can be comprehensively evaluated, the timeliness and the accuracy of early warning are improved, and the false alarm rate is reduced.
Example 3
The embodiment discloses a distribution room monitoring system, as shown in fig. 2, includes: the device comprises a temperature sensor, a humidity sensor, a gas sensor, a noise sensor, a processor, a communication module, a power supply module and an upper computer; the power module is temperature sensor, humidity transducer, gas sensor, noise sensor, treater power supply, temperature sensor, humidity transducer, gas sensor, noise sensor set up in the electricity distribution room, and temperature sensor, humidity transducer, gas sensor, noise sensor's output and treater electricity are connected, and the treater transmits communication module after with the sensor data processing of receiving, and the host computer acquires through communication module sensor data, host computer carry out data fusion to sensor data, calculate electricity distribution room trouble probability of occurrence, if electricity distribution room trouble probability reaches the threshold value, then send alarm information, if not reach the threshold value, then acquire sensor data again. And the upper computer can display the noise decibel value in real time.
This technical scheme converts sound signal to the signal of telecommunication transmission to the host computer through noise sensor to adopt communication module of unified communication protocol, can transmit multiple sensor data, the host computer fuses to multiple data, thereby whether more comprehensive aassessment electricity distribution room index is normal, helps improving the timeliness and the degree of accuracy of early warning.
Example 4
The embodiment discloses a distribution room monitoring system, as shown in fig. 2, includes: the device comprises a temperature sensor, a humidity sensor, a gas sensor, a noise sensor, a processor, a communication module, a power supply module and an upper computer; the power module is temperature sensor, humidity transducer, gas sensor, noise sensor, treater power supply, temperature sensor, humidity transducer, gas sensor, noise sensor set up in the electricity distribution room, and temperature sensor, humidity transducer, gas sensor, noise sensor's output and treater electricity are connected, and the treater transmits communication module after with the sensor data processing of receiving, and the host computer acquires through communication module sensor data, host computer carry out data fusion to sensor data, calculate electricity distribution room trouble probability of occurrence, if electricity distribution room trouble probability reaches the threshold value, then send alarm information, if not reach the threshold value, then acquire sensor data again. And the upper computer can display the noise decibel value in real time.
The noise sensor adopts a capacitance standing probe based on MEMS packaging technology. The communication module comprises a wired communication module and a wireless communication module, the processor is a single chip microcomputer, the processor is respectively connected with the wired communication module and the wireless communication module through a UART serial port, and the processor is connected with the noise sensor through an IIC serial port. The power module is a rechargeable lithium battery.
In this embodiment, the gas sensor is: o is2Sensor, O3Sensor and SF6Sensor, said O2Sensor, O3Sensor and SF6The output ends of the sensors are connected with the processor.
Example 5
The embodiment discloses a distribution room monitoring system, as shown in fig. 2, includes: the device comprises a temperature sensor, a humidity sensor, a gas sensor, a noise sensor, a processor, a communication module, a power supply module and an upper computer; the power module is temperature sensor, humidity transducer, gas sensor, noise sensor, treater power supply, temperature sensor, humidity transducer, gas sensor, noise sensor set up in the electricity distribution room, and temperature sensor, humidity transducer, gas sensor, noise sensor's output and treater electricity are connected, and the treater transmits communication module after with the sensor data processing of receiving, and the host computer acquires through communication module sensor data, host computer carry out data fusion to sensor data, calculate electricity distribution room trouble probability of occurrence, if electricity distribution room trouble probability reaches the threshold value, then send alarm information, if not reach the threshold value, then acquire sensor data again. And the upper computer can display the noise decibel value in real time.
Fig. 3 is a model diagram of a noise sensor that collects audio signals of a distribution room and processes the audio signals to perform frequency domain analysis by using a capacitive electret probe based on an MEMS packaging technique, and calculates a spectral amplitude distribution. The sampling frequency is 25.6KHz, the sampling is carried out at 128 points, the resolution ratio is 200Hz, and the sound intensity decibel value is output to the processor for network transmission and early warning. When the capacitor electret senses noise change, the distance between electret plates changes, and accordingly the voltage U between the electret plates changes. The voltage change is amplified through the field effect of high impedance, so that the voltage corresponding to noise is obtained, and the acoustic signal is converted into an electric signal to be output.
The communication module comprises a wired communication module and a wireless communication module, the wireless communication module is a ZigBee wireless communication module, the processor is a single chip microcomputer, and the processor adopts an STM8L101F3P6 single chip microcomputer and is used for receiving voltage signals output by the sensors and correspondingly controlling the work of equipment connected with the sensors. The single chip microcomputer is high in integration level and low in power consumption, the noise sensor is connected with the IIC serial port of the single chip microcomputer, voltage signals output by the sensor module are received and processed, the EEPROM storage module is used for storing data, the UART serial port is respectively connected with the wired communication module and the wireless transmission module, and then the processed data are transmitted to the upper computer in a wired or wireless data transmission mode for monitoring and analyzing.
The power module is a rechargeable lithium battery, and fig. 4 is a schematic power supply diagram of the battery module according to the present invention. The power requirements of the sensor and the lithium battery power and volume are taken into account when selecting the battery. The wired power supply module of the system selects a power supply module with the electronic model of CT6-KD2405, and adopts a power supply mode of external 24V direct current voltage. Before each module of the system is powered, the EMC suppression module is additionally arranged to enable the noise sensor to meet the EMC requirement of electric power. The design working condition voltage of the noise sensor is 9V, and the power supply module is used for stabilizing the external 24V direct current voltage at 9V in a DC-DC conversion circuit mode to supply power to the noise sensor. The microprocessor of the embodiment adopts a low-voltage difference MP20046DN module of MPS company, the voltage range is 1.65V-3.6V, and a direct current conversion circuit for converting 9V voltage into 3.3V is used for realizing stable power supply for the microprocessor. The power supply voltage of the communication module is 3.3V, and an ADI (advanced design integration) based magnetic coupling isolation technology ADuM120x isolator is added during design so as to improve the anti-interference capability to meet the electromagnetic compatibility standard of the power industry.
In this embodiment, the communication module adopts a ZigBee wireless communication module, and the processing flow of the ZigBee wireless communication module is: and after the system is started and initialized and enters a normal working state, the system circularly rounds data of each module. If the data of the ZigBee wireless communication module is received, validity judgment and CRC check judgment are carried out, a specific data processing flow is entered after the corresponding judgment is passed, 2 branch functions are set by inquiring the measured value and the parameter of the sensor, and the branch function of inquiring the measured value of the sensor is as follows: judging a specific sensor, if the sensor is the required sensor, replying corresponding sensor data, and then re-receiving the signal, otherwise, directly re-receiving the signal; the parameter setting branch function is: and judging the specific parameter item, if so, setting and storing the parameter of the corresponding item, and otherwise, re-receiving the sensor signal.
In this embodiment, wired communication Modbus can accomplish the data processing to multiple type of sensor simultaneously, and the processing flow is: and after the system is started and initialized and enters a normal working state, the system circularly rounds data of all the sensor modules. If receiving the data of Modbus communication, will carry out validity judgement and CRC check judgement, will enter into concrete data processing flow after corresponding judgement is passed, including inquiry sensor measurement value, system debugging and sensor parameter set up 3 branch functions, wherein, the subprocess of inquiring the sensor measurement value is: inquiring the measured value of the sensor, then judging the specific sensor, then replying the data of the corresponding sensor and returning to receive signals again, wherein the system debugging sub-process comprises the following steps: the system debugging, then judge the concrete debugging project, carry out the corresponding system debugging configuration next, return and receive the signal again, the parameter sets up the subprocess to be: and setting parameters, judging parameters of specific projects, preferably setting and storing the parameters of the corresponding projects, and returning to re-receiving signals.
In this embodiment, the gas sensor is: o is2Sensor, O3Sensor and SF6Sensor, said O2Sensor, O3Sensor and SF6The output ends of the sensors are connected with the processor.
Claims (10)
1. A method of monitoring a distribution room, comprising:
s1: acquiring data of a temperature sensor, a humidity sensor, a gas sensor and a noise sensor;
s2: carrying out data fusion on the sensor data, and calculating the failure occurrence probability of the distribution room;
s3: and judging whether the failure probability of the power distribution room reaches a threshold value, if so, sending alarm information, and if not, returning to execute the step S1.
2. The electrical distribution room monitoring method as claimed in claim 1, wherein the step S2 of calculating the electrical distribution room fault occurrence probability comprises the steps of:
s21: calculating a sensor data normalization coefficient, wherein the calculation formula is as follows:
K＝∑i＝1,2,3ma(i)·mb(i)·mc(i)·md(i)；
s22: calculating the fault occurrence probability according to the normalized coefficient, wherein the formula is as follows:
where K is a normalization coefficient, i is 1, 2, and 3 respectively indicate that the discrimination event is a fault, no fault, and indeterminate, and m isa(i)，mb(i)，mc(i)，md(i) Respectively representing the probability of judging the event i according to the temperature sensor data, the humidity sensor data, the gas sensor data and the noise information, and m (i) is the probability of judging the event i after information fusion.
3. The electrical distribution room monitoring method of claim 1 wherein the gas sensor monitors concentration data of SF 6.
4. The electrical distribution room monitoring method of claim 3 wherein the gas sensor further monitors O3 and O2The concentration data of (c).
5. Electricity distribution room monitoring system, its characterized in that includes: the device comprises a temperature sensor, a humidity sensor, a gas sensor, a noise sensor, a processor, a communication module, a power supply module and an upper computer; the power module is temperature sensor, humidity transducer, gas sensor, noise sensor, treater power supply, temperature sensor, humidity transducer, gas sensor and noise sensor set up in the electricity distribution room, and temperature sensor, humidity transducer, gas sensor and noise sensor's output and treater electricity are connected, and the treater transmits communication module after with the sensor data processing of receiving, and the host computer acquires through communication module sensor data, host computer carry out data fusion to sensor data, calculate electricity distribution room trouble probability of occurrence, if electricity distribution room trouble probability reaches the threshold value, then send alarm information, if not reach the threshold value, then acquire sensor data again.
6. The electrical distribution room monitoring system of claim 5 wherein the noise sensor employs a capacitive electret probe based on MEMS packaging technology.
7. The electrical distribution room monitoring system of claim 5, wherein the communication module comprises a wired communication module and a wireless communication module, the processor is a single chip microcomputer, the processor is respectively connected with the wired communication module and the wireless communication module through UART serial ports, and the processor is connected with the noise sensor through IIC serial ports.
8. The electrical distribution room monitoring system of claim 5 wherein the gas sensor is SF6A sensor.
9. The electrical distribution room monitoring system of claim 5 wherein the gas sensor is O2Sensor, O3Sensor and SF6Sensor, said O2Sensor, O3Sensor, SF6The output ends of the sensors are connected with the processor.
10. The electrical distribution room monitoring system of claim 5 wherein the power module is a rechargeable lithium battery.
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