Intelligent monitoring system and method applied to high-voltage side of transformer
Technical Field
The application relates to the technical field of communication, in particular to an intelligent monitoring system and method applied to a high-voltage side of a transformer.
Background
A transformer is a stationary electrical device that realizes transmission of ac power by exchanging ac voltage and current, and is an indispensable component of a distribution line. When the transformer fails, power failure can be caused, and partial failures can be difficult to find.
In order to solve the problem in time after a high-voltage line fails and improve the stability of power supply, a current transformer is widely additionally arranged at a high-voltage side cable connecting line in a power distribution network in China, meanwhile, the temperature and current data of the part are monitored through a sensor, the monitored data are transmitted to a data concentrator in a wireless communication mode (such as Zigbee, Lora, Bluetooth and the like), and then the data concentrator is uploaded to a data background in a wireless (such as 4G/3G/2G and the like) or wired (such as RJ45/RS485/RS232 and the like) communication mode to perform unified management and data analysis of the data.
In view of the above related technologies, the inventor believes that when the sensor is disposed on the high-voltage device, interference factors such as harmonic waves in the line easily cause inaccurate collected data, and thus a false alarm occurs.
Disclosure of Invention
In order to reduce the situation of false alarm, the application provides an intelligent monitoring system applied to the high-voltage side of a transformer and a method thereof.
In a first aspect, the present application provides an intelligent monitoring system applied to a high-voltage side of a transformer, which adopts the following technical scheme:
an intelligent monitoring system applied to the high-voltage side of a transformer comprises:
the temperature measurement module is used for acquiring temperature values of the high-voltage sides of the transformers according to a preset sampling period;
the data processing module is connected with the temperature measuring module and used for receiving the temperature values of the transformers and comparing the temperature values with a temperature threshold value respectively, and if the temperature values of the transformers are lower than the temperature threshold value, outputting a normal temperature value; if the temperature value of the transformer exceeds the temperature threshold value, outputting a data abnormal signal;
and the anti-error alarm module is connected with the data processing module and used for receiving the data abnormal signal to control the temperature measurement module to acquire the temperature value again in the same sampling period, and outputting an alarm signal if the acquisition times in the same sampling period reach the preset sampling times.
By adopting the technical scheme, the data processing module processes the received temperature value, judges whether the temperature value is abnormal or not, and transmits the normal temperature value to the data concentrator if the temperature value is normal, so that unified management and analysis are facilitated. When the temperature value is abnormal, the anti-error alarm module controls the temperature measurement module to acquire the temperature value again in the same sampling period, so that the inaccuracy of acquired data caused by interference factors such as harmonic waves in a circuit is reduced, and the situation of false alarm is reduced; if the temperature data acquired for many times in the same sampling period are all abnormal, an alarm signal is output to remind a person responsible for the equipment that the temperature of the monitoring part of the transformer is abnormal.
Optionally, the intelligent monitoring system further comprises an induction electricity taking module, and the induction electricity taking module is respectively connected with the temperature measuring module, the data processing module and the anti-error alarm module; the inductive power taking module comprises a micro-power consumption switch power circuit, the micro-power consumption switch power circuit comprises a bidirectional high-voltage trigger diode, an inductor L, a primary electric energy storage circuit and a secondary electric energy storage circuit, the output end of the primary electric energy storage circuit is connected with one end of the bidirectional high-voltage trigger diode, the other end of the bidirectional high-voltage trigger diode is connected with one end of the inductor L, and the other end of the inductor L is connected with the input end of the secondary electric energy storage circuit.
By adopting the technical scheme, when the voltage storage of the energy storage device in the primary electric energy storage circuit reaches the rated voltage, the bidirectional high-voltage trigger diode is conducted; and then the energy storage device of the secondary electric energy storage circuit is subjected to energy storage and voltage reduction through the inductor L. The simple bidirectional high-voltage trigger diode is matched with the capacitor and the inductor to form a simple switching power supply, so that weak current with high voltage is converted into direct current with low voltage, and the effect of the switching power supply is achieved. The current of the transformer high-voltage line is used for induction electricity taking, and more stable electric energy can be provided for an intelligent monitoring system.
Optionally, the induction power taking module further includes a voltage control circuit, an output end of the micro-power switch power supply circuit is connected with an input end of the voltage control circuit, and the voltage control circuit includes a voltage detection chip U1, a control chip LDO and a diode D1; the cathode of the diode D1 is connected with the input end of the control chip LDO, and the anode of the diode D1 is connected with the output end of the control chip LDO; the control pin of the control chip LDO is connected with the output end of the voltage detection chip U1, and the input end of the voltage detection chip U1 is connected with the cathode of the diode D1.
By adopting the technical scheme, the voltage detection chip U1 detects the voltage reserve of the energy storage device in the secondary electric energy storage circuit, and when the voltage reserve reaches a high limit value, the LDO (low dropout regulator) of the control chip is turned on to enable the intelligent monitoring system to obtain a power supply; otherwise, the LDO of the control chip is closed. And large return difference voltage control is realized, so that the voltage of an energy storage device in the secondary electric energy storage circuit can meet the normal work of an intelligent monitoring system.
Optionally, the primary electric energy storage circuit includes a filter capacitor C1 and an energy storage protection unit, the filter capacitor C1 is connected in parallel with the energy storage protection unit, and the anode of the filter capacitor C1 is connected to one end of a bidirectional high-voltage trigger diode.
By adopting the technical scheme, the current of the high-voltage side of the transformer is utilized to carry out induction power taking, the current is converted by the rectifying circuit and then is stored into the filter capacitor, and the filter capacitor plays a role of pre-storage, so that the voltage of the filter capacitor can be conveniently charged into an energy storage device in the secondary electric energy storage circuit after reaching the rated voltage; the energy storage protection unit can play a role in protecting the filter capacitor.
Optionally, the intelligent monitoring system further includes a data error correction module, where the data error correction module is connected to the data processing module, and is configured to receive the normal temperature value and verify the normal temperature value by a hamming verification method.
By adopting the technical scheme, the temperature measuring module works in a strong electromagnetic environment, so that electromagnetic interference is easy to occur. After data such as normal temperature values are transmitted in a communication mode, the error place in the data can be found out through a Hamming verification method, and a basis is provided for further automatic error correction.
In a second aspect, the present application provides an intelligent monitoring method applied to a high-voltage side of a transformer, which adopts the following technical scheme:
an intelligent monitoring method applied to a high-voltage side of a transformer comprises the following steps:
acquiring temperature values of the high-voltage sides of the transformers according to a preset sampling period;
comparing the temperature value of each transformer with a temperature threshold value respectively, and outputting a normal temperature value if the temperature value of each transformer is lower than the temperature threshold value; if the temperature value of the transformer exceeds the temperature threshold value, outputting a data abnormal signal;
and receiving the data abnormal signal to control the temperature measurement module to acquire the temperature value again in the same sampling period, and outputting an alarm signal if the acquisition times in the same sampling period reach the preset sampling times.
Through adopting above-mentioned technical scheme, handle the temperature numerical value of receiving, judge whether temperature numerical value is unusual, if temperature numerical value is normal, then give the data concentrator with normal temperature value transmission, be convenient for carry out unified management and analysis, and let temperature measurement module carry out low-power consumption sleep mode, can reduce intelligent monitoring system's energy consumption. When the temperature value is abnormal, the temperature value is collected again in the same sampling period, so that the inaccuracy of collected data caused by interference factors such as harmonic waves in a circuit is reduced, and the situation of false alarm is reduced; if the temperature data acquired for many times in the same sampling period are all abnormal, an alarm signal is output to remind a person responsible for the equipment that the temperature of the monitoring part of the transformer is abnormal.
Optionally, the intelligent monitoring method adopts an induction power-taking mode, and includes the following steps:
acquiring charges from an electric field around the high-voltage side of the transformer;
rectifying the alternating current electric energy into direct current electric energy, and storing the direct current electric energy in an energy storage device of the primary electric energy storage circuit;
judging the voltage of an energy storage device in the primary electric energy storage circuit to realize the disconnection and the connection of the micro-power consumption switch power supply circuit;
and the direct-current voltage of the energy storage device in the primary electric energy storage circuit is transmitted to the energy storage device of the secondary electric energy storage circuit for energy storage.
By adopting the technical scheme, when the voltage storage of the energy storage device in the primary electric energy storage circuit reaches the rated voltage, the bidirectional high-voltage trigger diode is conducted; and then the energy storage device of the secondary electric energy storage circuit is subjected to energy storage and voltage reduction through the inductor. The simple bidirectional high-voltage trigger diode is matched with the capacitor and the inductor to form a simple switching power supply, so that weak current with high voltage is converted into direct current with low voltage, and the effect of the switching power supply is achieved. The current of the transformer high-voltage line is used for induction electricity taking, and more stable electric energy can be provided for an intelligent monitoring system.
Optionally, the intelligent monitoring method further includes determining a voltage level of an energy storage device in the secondary electric energy storage circuit, and includes the following steps:
the method comprises the steps that a voltage detection chip U1 is used for detecting whether the electric quantity of an energy storage device in a secondary electric energy storage circuit reaches a high limit value, if yes, the voltage detection chip U1 controls a control chip LDO in a voltage control circuit to be started, and the control chip LDO is started to supply power to an intelligent monitoring system through the energy storage device of the secondary electric energy storage circuit; if not, the voltage detection chip U1 controls the LDO of the control chip in the voltage control circuit to be turned off.
By adopting the technical scheme, the voltage detection chip detects the voltage reserve of the energy storage device in the secondary electric energy storage circuit, and when the voltage reserve reaches a high limit value, the control chip is turned on to enable the intelligent monitoring system to obtain a power supply; otherwise, the control chip is closed. And large return difference voltage control is realized, so that the voltage of an energy storage device in the secondary electric energy storage circuit can meet the normal work of an intelligent monitoring system.
Optionally, if the temperature value of the transformer is lower than the temperature threshold, after the step of outputting the normal temperature value, the normal temperature value is verified by a hamming verification method.
By adopting the technical scheme, the intelligent monitoring system works in a strong electromagnetic environment, so that electromagnetic interference is easy to occur. After data such as normal temperature values are transmitted in a communication mode, the error place in the data can be found out through a Hamming verification method, and a basis is provided for further automatic error correction.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when the temperature value is abnormal, the temperature measurement module is controlled to acquire the temperature value again in the same sampling period, so that the inaccuracy of acquired data caused by interference factors such as harmonic waves in a circuit is reduced, and the situation of false alarm is reduced; if the temperature data acquired for multiple times in the same sampling period are all abnormal, outputting an alarm signal to remind a person responsible for the equipment that the temperature of the monitoring part of the transformer is abnormal;
2. the simple bidirectional high-voltage trigger diode is matched with the capacitor and the inductor to form a simple switching power supply, so that weak current with high voltage is converted into direct current with low voltage, and the effect of the switching power supply is achieved. The current of the transformer high-voltage line is used for induction electricity taking, and more stable electric energy can be provided for an intelligent monitoring system.
Drawings
FIG. 1 is a system block diagram of an embodiment of the present application;
fig. 2 is a circuit diagram of an induction power-taking module in the embodiment of the present application;
fig. 3 is a flow chart of a method of an embodiment of the present application.
Description of reference numerals: 1. a rectifying circuit; 2. a micro-power switch power circuit; 21. a primary electric energy storage circuit; 22. a secondary electric energy storage circuit; 3. a voltage control circuit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-3 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application discloses an intelligent monitoring system applied to a high-voltage side of a transformer. Referring to fig. 1 and 2, the intelligent monitoring system comprises a temperature measurement module, a data processing module, an anti-error alarm module and a data error correction module, wherein the temperature measurement module is used for collecting temperature values of the high-voltage side of each transformer according to a preset sampling period. The sampling period of the temperature measurement module is 1min, namely under the normal condition, the time interval between two times of sampling is 1min, and the temperature measurement module can be adjusted according to the actual condition, namely can be set.
The data processing module is connected with the temperature measuring module, and is used for receiving the temperature values of the transformers, comparing the temperature values with a temperature threshold value respectively, and outputting a normal temperature value if the temperature values of the transformers are lower than the temperature threshold value; and if the temperature value of the transformer exceeds the temperature threshold value, outputting a data abnormal signal.
And the anti-error alarm module is connected with the data processing module and used for receiving the data abnormal signal to control the temperature measurement module to acquire the temperature value again in the same sampling period, and outputting an alarm signal if the acquisition times in the same sampling period reach the preset sampling times.
This application adopts watchband type temperature sensor, and watchband type temperature sensor can install in transformer leading-out terminal department, and wherein, temperature measurement module, data processing module and prevent mistake alarm module all integrate in watchband type temperature sensor. The temperature of the high-voltage side of the transformer is monitored through the watchband type temperature measuring sensors, and the temperature values are collected and processed in the watchband type temperature measuring sensors, so that time delay caused by data transmission is reduced.
In addition, three watchband type temperature measuring sensors are arranged on the high-voltage side pile heads (A phase/B phase/C phase) of each transformer, so that the abnormal condition of the temperature value of each phase is monitored. The watchband type temperature measurement sensor is internally integrated with a current acquisition module, current data of each phase are acquired through the current acquisition module, the current data are acquired while temperature data are monitored, the current data are used as auxiliary monitoring acquisition quantity to monitor abnormal conditions of the phase, and then the big data comprehensive analysis of a background information system is more accurate.
It should be noted that, if the acquired temperature value is a normal temperature value, the temperature measurement module acquires the temperature value once per minute; if the acquired temperature value is an abnormal temperature value, the temperature measurement module needs to acquire the temperature value for many times per minute. For example, if the preset sampling times are 4, the temperature measuring module collects temperature values at most 4 times per minute; if the temperature values acquired for the first time and the second time are both abnormal temperature values and the temperature value acquired for the third time is a normal temperature value, outputting the temperature value acquired for the third time; and if the temperature values acquired for 4 times are all abnormal temperature values, outputting an alarm signal. In other embodiments, instead of outputting the alarm signal, a temperature value corresponding thereto may be output.
The data error correction module is connected with the data processing module and is used for receiving the normal temperature value and verifying the normal temperature value by a Hamming verification method. Because the temperature measuring module works in a strong electromagnetic environment, electromagnetic interference is easy to occur. After the data such as the normal temperature value and the like are transmitted in a communication mode, the wrong place in the data can be found out through a Hamming verification method. That is, r check bits are added to k data bits to form a new codeword with k + r bits, so that the code distance of the new codeword is relatively uniformly increased. Each binary bit of the data is distributed in a combination of several different even check bits, when a certain bit is in error, the values of the relevant check bits are changed, so that not only can the error be found, but also which bit is in error can be indicated, and a basis is provided for further automatic error correction.
The utility model discloses a data concentrator is adopted to this application, and the data concentrator can install at the wire pole, and wherein, data error correction module is integrated in the data concentrator. And the distance between the data concentrator and the watchband type temperature measurement sensor is not more than 5 meters.
The intelligent monitoring system further comprises an induction electricity taking module, wherein the induction electricity taking module is respectively connected with the temperature measuring module, the data processing module and the anti-misoperation alarm module and is used for providing electric energy for the temperature measuring module, the data processing module and the anti-misoperation alarm module. The induction electricity taking module comprises an induction circuit (not shown in the figure), a rectifying circuit, a micro-power-consumption switch power supply circuit and a voltage control circuit, wherein the output end of the induction energy is connected with the input end of the rectifying circuit, the output end of the rectifying circuit is connected with the input end of the micro-power-consumption switch power supply circuit, and the output end of the micro-power-consumption switch power supply circuit is connected with the input end of the voltage control circuit.
In this application, induction circuit includes high magnetic conductivity iron core and sets up the coil on high magnetic conductivity iron core, and the one end of coil is connected with rectifier circuit's input. Specifically, the high-magnetic-conductivity iron core is made of a permalloy base band, and the number of turns of the coil is more than or equal to 10000. It should be noted that high permeability cores and coils are common devices.
The micro-power consumption switching power supply circuit comprises a bidirectional high-voltage trigger diode, an inductor L, a primary electric energy storage circuit and a secondary electric energy storage circuit, wherein the output end of the primary electric energy storage circuit is connected with one end of the bidirectional high-voltage trigger diode, the other end of the bidirectional high-voltage trigger diode is connected with one end of the inductor L, and the other end of the inductor L is connected with the input end of the secondary electric energy storage circuit.
The primary electric energy storage circuit comprises a filter capacitor C1 and an energy storage protection unit, the filter capacitor C1 and the energy storage protection unit are connected in parallel, and the output end of the rectifying circuit is connected in parallel to the energy storage protection unit. The energy storage protection unit adopts a diode D2, and the secondary electric energy storage circuit comprises an energy storage capacitor C2. Specifically, the cathode of the diode D2 is connected with the anode of the filter capacitor C1, and the anode of the diode D2 is connected with the cathode of the filter capacitor C1; the anode of the filter capacitor C1 is connected with one end of a bidirectional high-voltage trigger diode, and the other end of the bidirectional high-voltage trigger diode is connected with one end of an inductor L; the other end of the inductor L is connected to the positive electrode of the energy storage capacitor C2.
The current of the high-voltage side of the transformer is used for induction electricity taking, the current is converted by the rectifying circuit and then is stored into the filter capacitor C1, and the filter capacitor plays a role in pre-storage, so that the voltage of the filter capacitor can be charged into the energy storage capacitor after reaching the rated voltage; the energy storage protection unit can play a role in protecting the filter capacitor.
When the voltage reserve of the filter capacitor C1 reaches the rated voltage, the bidirectional high-voltage trigger diode is conducted; and then the energy storage capacitor C2 is stored and reduced through the inductor L. The simple bidirectional high-voltage trigger diode is matched with the capacitor and the inductor to form a simple switching power supply, so that weak current with high voltage is converted into direct current with low voltage, and the effect of the switching power supply is achieved. The current of the transformer high-voltage line is used for induction electricity taking, and more stable electric energy can be provided for an intelligent monitoring system.
The voltage control circuit comprises a voltage detection chip U1, a control chip LDO and a diode D1, wherein the cathode of the diode D1 is connected with the input end of the control chip LDO, and the anode of the diode D1 is connected with the output end of the control chip LDO; the control pin of the control chip LDO is connected with the output end of the voltage detection chip U1, the input end of the voltage detection chip U1 is connected with the negative electrode of the diode D1, and the grounding end of the voltage detection chip U1 is grounded.
The voltage detection chip U1 detects the voltage reserve of the energy storage capacitor C2, and when the voltage reserve reaches a high limit value, the LDO (low dropout regulator) of the control chip is turned on, so that the intelligent monitoring system obtains a power supply; otherwise, the LDO of the control chip is closed. And large return difference voltage control is realized, so that the voltage of the energy storage capacitor C2 can meet the normal work requirement of an intelligent monitoring system.
The implementation principle of the intelligent monitoring system applied to the high-voltage side of the transformer in the embodiment of the application is as follows: the data processing module processes the received temperature value, judges whether the temperature value is abnormal or not, transmits the normal temperature value to the data concentrator for unified management and analysis if the temperature value is normal, and enables the temperature measurement module to enter a low-power sleep mode, so that the energy consumption of the intelligent monitoring system can be reduced. When the temperature value is abnormal, the anti-error alarm module controls the temperature measurement module to acquire the temperature value again, so that the inaccuracy of acquired data caused by interference factors such as harmonic waves in a circuit is reduced, and the situation of false alarm is reduced; if the temperature data acquired for many times are all abnormal, an alarm signal is output to remind a person responsible for the equipment that the temperature of the monitoring part of the transformer is abnormal.
The embodiment of the application also discloses an intelligent monitoring method applied to the high-voltage side of the transformer. Referring to fig. 3, the intelligent monitoring method includes the following steps:
acquiring temperature values of the high-voltage side of each transformer according to a preset sampling period;
step two, comparing the temperature value of each transformer with a temperature threshold value respectively, and outputting a normal temperature value if the temperature value of each transformer is lower than the temperature threshold value; if the temperature value of the transformer exceeds the temperature threshold value, outputting a data abnormal signal;
and step three, receiving the data abnormal signal to control the temperature measurement module to acquire the temperature value again in the same sampling period, and outputting an alarm signal if the acquisition times in the same sampling period reach the preset sampling times.
And after the second step, the normal temperature value is verified by a Hamming verification method. Because the intelligent monitoring system works in a strong electromagnetic environment, electromagnetic interference is easy to occur. After data such as normal temperature values are transmitted in a communication mode, the error place in the data can be found out through a Hamming verification method, and a basis is provided for further automatic error correction.
The intelligent monitoring method adopts an induction power-taking mode and comprises the following steps:
s1, acquiring electric charges from an electric field around the high-voltage side of the transformer;
s2, rectifying the alternating current electric energy to convert the alternating current electric energy into direct current electric energy, and storing energy in an energy storage device of the primary electric energy storage circuit;
s3, judging the voltage of an energy storage device in the primary electric energy storage circuit to realize the disconnection and the connection of the micro-power switch power supply circuit;
and S4, the direct current voltage of the energy storage device in the primary electric energy storage circuit is transmitted to the energy storage device of the secondary electric energy storage circuit for energy storage.
When the voltage reserve of an energy storage device in the primary electric energy storage circuit reaches the rated voltage, the bidirectional high-voltage trigger diode is conducted; and then the energy storage device of the secondary electric energy storage circuit is subjected to energy storage and voltage reduction through the inductor. The simple bidirectional high-voltage trigger diode is matched with the capacitor and the inductor to form a simple switching power supply, so that weak current with high voltage is converted into direct current with low voltage, and the effect of the switching power supply is achieved. The current of the transformer high-voltage line is used for induction electricity taking, and more stable electric energy can be provided for an intelligent monitoring system.
The intelligent monitoring method also comprises the steps of judging the voltage of an energy storage device in the secondary electric energy storage circuit, and supplying the electric energy in the secondary electric energy storage circuit to the intelligent monitoring system, and specifically comprises the following steps: detecting whether the electric quantity of an energy storage device in the secondary electric energy storage circuit reaches a high limit value or not by using a voltage detection chip U1 arranged in the voltage control circuit, if so, controlling a control chip LDO in the voltage control circuit to be started by using a voltage detection chip U1, and supplying power to the intelligent monitoring system by using the energy storage device of the secondary electric energy storage circuit by using the control chip LDO to be started; if not, the voltage detection chip U1 controls the LDO of the control chip in the voltage control circuit to be turned off.
The voltage detection chip detects the voltage reserve of an energy storage device in the secondary electric energy storage circuit, and when the voltage reserve reaches a high limit value, the control chip is turned on to enable the intelligent monitoring system to obtain a power supply; otherwise, the control chip is closed. And large return difference voltage control is realized, so that the voltage of an energy storage device in the secondary electric energy storage circuit can meet the normal work of an intelligent monitoring system.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.