Tubular busbar operation intelligent monitoring system and method

Abstract

The invention discloses a tubular busbar operation intelligent monitoring system and method, relates to the technical field of electrical equipment intelligence, and solves the technical problems that monitoring is not comprehensive and a fault point cannot be quickly and accurately found when a single parameter is used for monitoring. According to the invention, the bus state analysis module can accurately judge the temperature sudden change condition according to the detailed temperature range setting, thereby more accurately identifying the bus operation state, reducing misjudgment and missed judgment, improving the accuracy of monitoring the operation state of the tubular bus, deeply analyzing the abnormal reason according to the circuit current change condition, and improving the accuracy of monitoring the operation state of the tubular bus. Whether the connection part is abnormal or not can be judged by combining the position of the temperature sensor, the analysis mode provides a richer and more accurate basis for fault diagnosis, and meanwhile, the fault type is judged by combining the voltage value change of the load equipment. And when a short-circuit fault occurs, the position of a fault point can be accurately positioned by uniformly segmenting the to-be-analyzed bus according to the length and measuring the segmented voltage.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent power equipment, and in particular to an intelligent monitoring system and method for operation of a tubular busbar. Background Art

[0002] The tubular busbar is a power conductor used in power transmission and distribution systems. It has the characteristics of high strength, corrosion resistance and good insulation performance. It is widely used in power stations, substations, factories, commercial buildings and transportation facilities, providing a reliable and efficient power transmission solution for power transmission and distribution systems. In the power system, the safe and stable operation of the tubular busbar is crucial.

[0003] According to publication number CN104267302B, an online monitoring system for tubular bus transmission during operation is disclosed, including at least one bus monitoring unit, characterized in that each bus monitoring unit has a parameter measurement module, a leakage current measurement device, a battery module and a data transmission device, the parameter measurement module and the monitoring data concentration module communicate with each other via wireless or optical fiber, the monitoring data concentration module is connected to the monitoring data processing server via RS-485, and the monitoring data processing servers communicate with each other via the Internet or a local area network.

[0004] Existing monitoring methods may be insufficient, and the assessment of the operating status of the tubular busbar may not be comprehensive and accurate enough. For example, some systems may only monitor a single parameter, such as focusing only on temperature or current, and fail to comprehensively consider the relationship between multiple factors. Moreover, in terms of fault diagnosis, some technologies may not be able to accurately and quickly locate the fault point, or fail to analyze the cause of the abnormality in detail. This results in the inability of operation and maintenance personnel to take timely and effective measures when problems occur in the tubular busbar, which may expand the scope of the fault, affect the normal power supply of the power system, and even cause serious damage to electrical equipment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a system and method for intelligent monitoring of tubular bus operation, which solves the problem that monitoring of a single parameter is incomplete and the fault point cannot be found quickly and accurately.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A tubular busbar operation intelligent monitoring system, comprising:

[0007] The monitoring data acquisition module is used to acquire sensor data of the tubular busbar and transmit the acquired sensor data to the busbar status analysis module;

[0008] The busbar state analysis module is used to identify the operating state of the tubular busbar according to the acquired sensor data to obtain an identification result, and transmit the normal state result in the identification result to the monitoring information output module, and at the same time analyze the temperature abnormality signal in the identification result to generate an abnormal state result, and transmit the abnormal state result to the abnormal state analysis module;

[0009] The abnormal state analysis module is used to analyze the abnormal state results obtained, judge the circuit current of the tubular busbar, and determine the abnormal cause based on different current changes, and generate abnormal cause information and secondary identification signals at the same time, and then transmit the secondary identification signals to the fault analysis processing module;

[0010] The fault analysis and processing module is used to analyze the acquired secondary identification signal, and generate abnormal cause information by combining the voltage value of the equipment, and further determine the location of the fault point by combining the corresponding voltage value in the tubular busbar, generate fault point information, and then transmit the abnormal cause information and fault point information to the information output module;

[0011] The monitoring information output module is used to display the acquired fault point information and abnormal cause information to the corresponding operator.

[0012] As a further solution of the present invention, the sensor data includes temperature data and current data of the tubular busbar.

[0013] As a further solution of the present invention, the specific method of obtaining the identification result by the bus state analysis module is:

[0014] The sensor data is obtained, and the temperature of the tube busbar is obtained and recorded as T. Then, whether there is a sudden change in the temperature T is analyzed. If there is a sudden change in the temperature T, a temperature abnormality signal is generated. Otherwise, if there is no sudden change in the temperature T, a normal state result is generated and transmitted to the monitoring information output module;

[0015] The generated temperature anomaly signal is analyzed, and the temperature T is compared with the preset value Ty. If the temperature T is greater than the preset value Ty, an abnormal state result is generated. Otherwise, if the temperature T is less than the preset value Ty, a continuous monitoring signal is generated and transmitted to the monitoring information output module.

[0016] As a further solution of the present invention, the specific manner in which the abnormal state analysis module analyzes the abnormal state result is:

[0017] The tubular busbar corresponding to the abnormal state result is obtained, and the circuit current of the tubular busbar is obtained and recorded as I, and the change of the circuit current I within the time period t is analyzed. If the change of the circuit current I within the time period t is an increasing change, the real-time data of the tubular busbar is obtained, and the real-time data is combined for analysis, and an increasing change signal is generated. Conversely, if the change of the circuit current I within the time period t is stable, a stable signal is generated, and then the stable signal and the increasing signal are analyzed.

[0018] As a further solution of the present invention, the specific manner in which the abnormal state analysis module analyzes the stable unchanged signal and the increasing change signal is:

[0019] Analyze the increase change signal, obtain the real-time data of the tube bus, and judge whether there is a new device. If there is a new device, generate load increase information and transmit the generated load increase information to the monitoring information output module. Otherwise, if there is no new device, generate a secondary identification signal.

[0020] Analyze the stable signal, obtain all the temperature sensors on the tubular busbar, obtain the corresponding temperature data, and screen the abnormal temperature data. Then mark the temperature sensor corresponding to the abnormal temperature data, and generate joint abnormality information.

[0021] As a further solution of the present invention, the specific manner in which the fault analysis processing module analyzes the secondary identification signal is:

[0022] All load devices on the tubular bus are obtained and labeled as n, where n=1, 2, ..., m, and m represents the number of load devices. At the same time, the voltage value of load device n is obtained, and the change of the voltage value in the time period e is judged. If the voltage value decreases in the time period e, it means that there is a short circuit fault in the tubular bus, and abnormal cause information is generated. At the same time, the short circuit fault point is located and analyzed. If the voltage value remains unchanged in the time period e, it means that the connection component of the tubular bus is abnormal, and abnormal cause information is generated. At the same time, the generated abnormal cause information is transmitted to the monitoring information output module.

[0023] As a further solution of the present invention, the specific method of the fault analysis processing module to locate and analyze the short-circuit fault point is:

[0024] The voltage value is obtained for the load device corresponding to the reduced change. At the same time, the corresponding tubular bus is obtained based on the load device and recorded as the bus to be analyzed. The bus to be analyzed is evenly divided according to the length to obtain multiple groups of segmented bus to be analyzed. Then the voltage of the segmented bus to be analyzed is obtained, and the segmented bus to be analyzed whose voltage is lower than the rated voltage is selected as the abnormal segmented bus to be analyzed. At the same time, fault point information is generated, and then the generated fault point information is transmitted to the monitoring information output module.

[0025] A method for intelligent monitoring of tubular bus operation, the method specifically comprising the following steps:

[0026] Step 1: Collect data of the tubular busbar through a variety of sensors, and the collected data includes temperature and current;

[0027] Step 2: Based on the collected temperature data, the operating state of the tube busbar is judged and identified to obtain normal state results and abnormal state results;

[0028] Step 3: Analyze the abnormal state result according to the current of the tubular busbar, determine the abnormal cause of the tubular busbar in combination with the current change, and generate abnormal cause information and a secondary identification signal;

[0029] Step 4: Analyze the secondary identification signal in combination with the voltage value of the equipment to generate abnormal cause information, and at the same time combine the corresponding voltage value in the tubular bus to further determine the location of the fault point and generate fault point information.

[0030] Beneficial Effects

[0031] The present invention provides a tubular busbar operation intelligent monitoring system and method. Compared with the prior art, it has the following beneficial effects:

[0032] The present invention can accurately judge the temperature mutation situation according to the detailed temperature range setting through the busbar state analysis module, so as to more accurately identify the busbar operation state, reduce misjudgment and missed judgment, and improve the accuracy of monitoring the operation state of the tubular busbar;

[0033] The abnormal state analysis module can deeply analyze the abnormal cause according to the change of circuit current. When the current increases and changes within the time period t, combined with real-time data analysis, it can be judged whether the load has increased due to the addition of new equipment; when the current is stable, combined with the position of the temperature sensor, it can be judged whether the connection part is abnormal. This analysis method provides a richer and more accurate basis for fault diagnosis;

[0034] After obtaining the secondary identification signal, the fault analysis and processing module determines the fault type based on the change in the voltage value of the load device. In addition, in the case of a short-circuit fault, the busbar to be analyzed is evenly divided by length and the segment voltage is measured to accurately locate the fault point. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a block diagram of the system principle of the present invention;

[0036] Figure 2 It is a flow chart of the steps of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] For example, see Figure 1 The present application provides a tube-type busbar operation intelligent monitoring system, including: a monitoring data acquisition module, a busbar state analysis module, an abnormal state analysis module, a fault analysis and processing module and a monitoring information output module. Figure 1 It can be known that the above functional units are electrically connected in a unidirectional manner.

[0039] Monitoring data acquisition module, which is used to obtain sensor data of the tubular busbar and transmit the obtained sensor data to the busbar status analysis module. The sensor data includes temperature data and current data, and through the corresponding temperature sensor and leakage current sensor, the specific temperature sensor is usually installed in the key parts of the tubular busbar, such as joints, elbows, load concentration areas, etc.

[0040] The busbar status analysis module is used to identify the operating status of the tubular busbar based on the acquired sensor data to obtain an identification result, and transmit the normal status result in the identification result to the monitoring information output module. At the same time, the temperature abnormality signal in the identification result is analyzed to generate an abnormal status result, and the abnormal status result is transmitted to the abnormal status analysis module.

[0041] Acquire sensor data, and at the same time acquire the temperature of the tubular busbar and record it as T. Then analyze whether there is a sudden change in temperature T. Assume that the normal operating temperature range of the tubular busbar is 30℃-70℃, and the operator sets Ty=80℃ based on experience and the load condition of the busbar. If there is a sudden change in temperature T, a temperature abnormality signal is generated. Specifically, if the acquired temperature T=75℃ and no sudden change is found, a normal state result is generated and transmitted. If T suddenly changes to 90℃ when the temperature is acquired next time, a temperature abnormality signal is generated. Conversely, if there is no sudden change in temperature T, a normal state result is generated and the generated normal state result is transmitted to the monitoring information output module. Specifically, when a temperature abnormality signal is generated and T=90℃>809, an abnormal state result is generated;

[0042] The generated temperature anomaly signal is analyzed, and the temperature T is compared with the preset value Ty, and the specific value of the preset value Ty is set by the operator. If the temperature T is greater than the preset value Ty, an abnormal state result is generated. Otherwise, if the temperature T is less than the preset value Ty, a continuous monitoring signal is generated and transmitted to the monitoring information output module.

[0043] The abnormal state analysis module is used to analyze the acquired abnormal state results, judge the circuit current of the tubular busbar, and determine the abnormal cause based on different current changes. At the same time, it generates abnormal cause information and secondary identification signals, and then transmits the secondary identification signals to the fault analysis and processing module.

[0044] The tubular busbar corresponding to the abnormal state result is obtained, and the circuit current of the tubular busbar is obtained and recorded as I. The circuit current here is obtained through an ammeter, and the change of the circuit current I within the time period t is analyzed. If the change of the circuit current I within the time period t is an increasing change, the real-time data of the tubular busbar is obtained, and the real-time data is combined for analysis, and an increasing change signal is generated. On the contrary, if the change of the circuit current I within the time period t is stable, a stable signal is generated, and then the increasing change signal is analyzed; specifically, for the generated stable signal, a comprehensive analysis is performed in combination with the position of the temperature sensor to generate a specific cause, and the specific cause here may be indicated as an abnormal connection part.

[0045] Specifically, for example, assume that the current I of the tubular bus circuit is measured by an ammeter to be 500A, and set the time period t = 10 minutes. If within these 10 minutes, the current I changes to 600A (increase change), then obtain the real-time data of the tubular bus (such as the connection equipment status, ambient temperature, etc.) for further analysis. If within these 10 minutes, the current I has been stable at 500A (stable and unchanged), combined with the position of the temperature sensor, if the temperature sensor data near a certain connection part is found to be abnormally high, it can be judged that the connection part may be abnormal, and the corresponding abnormal cause information is generated.

[0046] The increase change signal is analyzed to obtain the real-time data of the tubular busbar, and the real-time data includes the real-time load of the tubular busbar, and it is judged whether there is a new device. If there is a new device, the load increase information is generated, and the generated load increase information is transmitted to the monitoring information output module. On the contrary, if there is no new device, a secondary identification signal is generated. Specifically, when the current flowing through the tubular busbar exceeds its rated current, according to Joule's law Q=I 2 Rt, where Q is heat, I is current, R is resistance, and t is time. The heat generated by the bus will increase dramatically. For example, in some industrial production scenarios, if a large number of electrical equipment is suddenly added, the current passing through the bus will increase significantly, which will cause the bus temperature to change suddenly. Because the heat generated by the increase in current is proportional to the square of the current, even if the current only slightly exceeds the rated value, the heat will accumulate rapidly, causing the temperature to rise rapidly.

[0047] Analyze the stable signal, obtain all the temperature sensors on the tubular busbar, obtain the corresponding temperature data, and screen the abnormal temperature data, then mark the temperature sensor corresponding to the abnormal temperature data, and generate joint abnormality information. Specifically, the temperature sensors in this application are installed at the joints, elbows, and load concentration areas, so if the temperature is abnormal, it means that the link in the corresponding area is abnormal.

[0048] Fault analysis and processing module, which is used to analyze the acquired secondary identification signal, and generate abnormal cause information in combination with the voltage value of the equipment, and further determine the location of the fault point in combination with the corresponding voltage value in the tubular busbar, generate fault point information, and then transmit the abnormal cause information and fault point information to the information output module.

[0049] Analyze the generated secondary identification signal, obtain all the load devices on the tubular bus and label them as n, where n=1, 2, ..., m, and m represents the number of load devices. Specifically, the load devices here are the devices originally connected to the tubular bus. At the same time, obtain the voltage value of the load device n, and judge the change of the voltage value in the time period e. If the voltage value decreases in the time period e, it means that the tubular bus has a short circuit fault, and generate abnormal reason information. If the voltage value remains unchanged in the time period e, it means that the connection component of the tubular bus is abnormal, and generate abnormal reason information. At the same time, transmit the generated abnormal reason information to the monitoring information output module;

[0050] In a specific example, suppose there is a tubular busbar in a substation, connected to 5 load devices (i.e. m=5), numbered 1, 2, 3, 4, and 5 respectively. During the monitoring process, the time period e is set to 10 minutes. During these 10 minutes, it is found that the voltage of load device 3 drops from 10kV to 6kV. According to the above judgment rules, it can be known that there is a short circuit fault in the tubular busbar, and the abnormal reason information of "short circuit fault, possibly related to the branch where load device 3 is located" is generated.

[0051] The fault point of the short-circuit fault in the tubular bus is specifically located and analyzed, and the voltage value is obtained to reduce the load device corresponding to the change. At the same time, the corresponding tubular bus is obtained based on the load device and recorded as the bus to be analyzed, and the bus to be analyzed here is represented as the corresponding branch bus, and the bus to be analyzed is evenly divided according to the length to obtain multiple groups of segmented bus to be analyzed, and the length here is also the spacing of the voltmeter installation. Then the voltage of the segmented bus to be analyzed is obtained, and the voltage is obtained by measuring with the corresponding voltmeter. At the same time, the voltmeter is installed at both ends of the bus to be analyzed in different segments, and the segmented bus to be analyzed with a voltage lower than the rated voltage is selected and recorded as the abnormal segmented bus to be analyzed. At the same time, the fault point information is generated, and then the generated fault point information is transmitted to the monitoring information output module.

[0052] In a specific example, assuming that the length of the branch bus corresponding to the load device 3 is 20 meters, the installation interval of the voltmeter is 5 meters, and the branch bus is divided into 4 sections. Through the voltmeter measurement, it is found that the voltages of the second and third sections are 3kV and 2kV respectively (assuming that the rated voltage of the branch bus is 10kV). The voltages of these two sections are lower than the rated voltage. These two sections are determined to be abnormal segmented busbars to be analyzed, and the fault point information "the fault point is located near the second and third sections of the branch bus corresponding to the load device 3" is generated.

[0053] The monitoring information output module is used to display the acquired fault point information and abnormal cause information to the corresponding operator.

[0054] As a second embodiment of the present invention, please refer to Figure 2, a method for intelligent monitoring of tubular bus operation, the method specifically comprising the following steps:

[0055] Step 1: Collect data of the tubular busbar through a variety of sensors, and the collected data includes temperature and current;

[0056] Step 2: Based on the collected temperature data, the operating state of the tubular bus is judged and identified to obtain a normal state result and an abnormal state result, and the processing method here is the same as the processing process of the bus state analysis module in Example 1;

[0057] Step three, analyzing the abnormal state result according to the current of the tubular bus, determining the abnormal cause of the tubular bus in combination with the current change, and generating abnormal cause information and a secondary identification signal, and the processing method here is the same as the processing process of the abnormal state analysis module in Example 1;

[0058] Step 4: For the secondary identification signal, analyze the voltage value of the equipment to generate abnormal cause information, and at the same time combine the corresponding voltage value in the tubular bus to further determine the location of the fault point and generate fault point information. The processing method here is the same as the processing process of the fault analysis processing module in Example 1.

[0059] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0060] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent monitoring system for tubular bus operation, characterized in that: include: The monitoring data acquisition module is used to acquire sensor data of the tubular busbar and transmit the acquired sensor data to the busbar status analysis module; The busbar state analysis module is used to identify the operating state of the tubular busbar according to the acquired sensor data to obtain an identification result, and transmit the normal state result in the identification result to the monitoring information output module, and at the same time analyze the temperature abnormality signal in the identification result to generate an abnormal state result, and transmit the abnormal state result to the abnormal state analysis module; The abnormal state analysis module is used to analyze the abnormal state results obtained, judge the circuit current of the tubular busbar, and determine the abnormal cause based on different current changes, and generate abnormal cause information and secondary identification signals at the same time, and then transmit the secondary identification signals to the fault analysis processing module; The fault analysis and processing module is used to analyze the acquired secondary identification signal, and generate abnormal cause information by combining the voltage value of the equipment, and further determine the location of the fault point by combining the corresponding voltage value in the tubular busbar, generate fault point information, and then transmit the abnormal cause information and fault point information to the information output module; The monitoring information output module is used to display the acquired fault point information and abnormal cause information to the corresponding operator.

2. The intelligent monitoring system for operation of a tubular busbar according to claim 1 is characterized in that: The sensor data includes temperature data and current data of the tubular busbar.

3. The intelligent monitoring system for operation of a tubular busbar according to claim 1 is characterized in that: The specific method for the busbar status analysis module to obtain the identification result is: The sensor data is obtained, and the temperature of the tube busbar is obtained and recorded as T. Then, whether there is a sudden change in the temperature T is analyzed. If there is a sudden change in the temperature T, a temperature abnormality signal is generated. Otherwise, if there is no sudden change in the temperature T, a normal state result is generated and transmitted to the monitoring information output module; The generated temperature anomaly signal is analyzed, and the temperature T is compared with the preset value Ty. If the temperature T is greater than the preset value Ty, an abnormal state result is generated. Otherwise, if the temperature T is less than the preset value Ty, a continuous monitoring signal is generated and transmitted to the monitoring information output module.

4. The intelligent monitoring system for operation of a tubular busbar according to claim 1 is characterized in that: The specific method in which the abnormal state analysis module analyzes the abnormal state result is as follows: The tubular busbar corresponding to the abnormal state result is obtained, and the circuit current of the tubular busbar is obtained and recorded as I, and the change of the circuit current I within the time period t is analyzed. If the change of the circuit current I within the time period t is an increasing change, the real-time data of the tubular busbar is obtained, and the real-time data is combined for analysis, and an increasing change signal is generated. Conversely, if the change of the circuit current I within the time period t is stable, a stable signal is generated, and then the stable signal and the increasing signal are analyzed.

5. The intelligent monitoring system for operation of a tubular busbar according to claim 1 is characterized in that: The specific way in which the abnormal state analysis module analyzes the stable signal and the increasing change signal is as follows: Analyze the increase change signal, obtain the real-time data of the tube bus, and judge whether there is a new device. If there is a new device, generate load increase information and transmit the generated load increase information to the monitoring information output module. Otherwise, if there is no new device, generate a secondary identification signal. Analyze the stable signal, obtain all the temperature sensors on the tubular busbar, obtain the corresponding temperature data, and screen the abnormal temperature data. Then mark the temperature sensor corresponding to the abnormal temperature data, and generate joint abnormality information.

6. The intelligent monitoring system for operation of a tubular busbar according to claim 1, characterized in that: The specific method in which the fault analysis processing module analyzes the secondary identification signal is as follows: All load devices on the tubular bus are obtained and labeled as n, where n=1, 2, ..., m, and m represents the number of load devices. At the same time, the voltage value of load device n is obtained, and the change of the voltage value in the time period e is judged. If the voltage value decreases in the time period e, it means that there is a short circuit fault in the tubular bus, and abnormal cause information is generated. At the same time, the short circuit fault point is located and analyzed. If the voltage value remains unchanged in the time period e, it means that the connection component of the tubular bus is abnormal, and abnormal cause information is generated. At the same time, the generated abnormal cause information is transmitted to the monitoring information output module.

7. The intelligent monitoring system for operation of a tubular busbar according to claim 6, characterized in that: The specific method for the fault analysis and processing module to locate and analyze the short-circuit fault point is as follows: The voltage value is obtained for the load device corresponding to the reduced change. At the same time, the corresponding tubular bus is obtained based on the load device and recorded as the bus to be analyzed. The bus to be analyzed is evenly divided according to the length to obtain multiple groups of segmented bus to be analyzed. Then the voltage of the segmented bus to be analyzed is obtained, and the segmented bus to be analyzed whose voltage is lower than the rated voltage is selected as the abnormal segmented bus to be analyzed. At the same time, fault point information is generated, and then the generated fault point information is transmitted to the monitoring information output module.

8. A method for intelligently monitoring the operation of a tubular bus, used to implement the intelligent monitoring system for the operation of a tubular bus according to any one of claims 1 to 7, characterized in that: The method specifically comprises the following steps: Step 1: Collect data of the tubular busbar through a variety of sensors, and the collected data includes temperature and current; Step 2: Based on the collected temperature data, the operating state of the tube busbar is judged and identified to obtain normal state results and abnormal state results; Step 3: Analyze the abnormal state result according to the current of the tubular busbar, determine the abnormal cause of the tubular busbar in combination with the current change, and generate abnormal cause information and a secondary identification signal; Step 4: Analyze the secondary identification signal in combination with the voltage value of the equipment to generate abnormal cause information, and at the same time combine the corresponding voltage value in the tubular bus to further determine the location of the fault point and generate fault point information.

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