Distribution load terminal monitoring method and system based on communication collector

Abstract

The invention discloses a power distribution load terminal monitoring method and system based on a communication collector, and relates to the technical field of terminal monitoring, the communication collector is adopted to obtain monitoring data of a power distribution load terminal, whether the monitoring data is in a corresponding threshold range or not is judged, and when the monitoring data is not in the corresponding threshold range, the power distribution load terminal is monitored. If yes, performing fault evaluation on the monitoring data according to the equipment type of the power distribution load terminal to obtain a state association value corresponding to the power distribution load terminal, and determining a monitoring result corresponding to the power distribution load terminal according to a comparison result of the state association value and a preset state threshold value. The technical problems that in the prior art, monitoring data of a power distribution load terminal are mainly collected through a collector, all the monitoring data are uploaded to a master station to be analyzed, communication resources are prone to being wasted, and the reliability of operation of a power distribution network is reduced are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of terminal monitoring, and in particular to a method and system for monitoring a distribution load terminal based on a communication collector. Background Art

[0002] Modern distribution networks are rapidly evolving toward intelligent and highly reliable systems, but terminal load monitoring remains a weak link. Traditional distribution terminals (such as TTUs / DTUs) rely on manual inspections and periodic meter readings, resulting in poor data timeliness, delayed fault location, and extensive energy efficiency management. Especially in scenarios with high penetration of distributed energy resources, the complexity of load fluctuations is growing exponentially, making existing systems unable to meet the needs of real-time dynamic monitoring.

[0003] At present, the existing technology mainly collects monitoring data from distribution load terminals through collectors, and then uploads all monitoring data to the main station for analysis, which easily causes waste of communication resources and reduces the reliability of distribution network operation. Summary of the Invention

[0004] The present invention provides a distribution load terminal monitoring method and system based on a communication collector, which solves the technical problem that the existing technology mainly collects the monitoring data of the distribution load terminal through the collector and then uploads all the monitoring data to the main station for analysis, which easily causes waste of communication resources and reduces the reliability of the distribution network operation.

[0005] A first aspect of the present invention provides a distribution load terminal monitoring method based on a communication collector, comprising:

[0006] Using a communication collector to obtain monitoring data of the distribution load terminal, and determining whether the monitoring data are all within a corresponding threshold range;

[0007] When the monitoring data are not all within the corresponding threshold range, a fault assessment is performed on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal;

[0008] The monitoring result corresponding to the distribution load terminal is determined according to the comparison result of the state association value and the preset state threshold.

[0009] Optionally, when the device type is a terminal panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a contact resistance value, and a current value. The step of performing a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes:

[0010] Performing difference processing on the contact resistance value and the corresponding initial contact resistance value to obtain a corresponding first difference value;

[0011] Performing a ratio processing on the first difference and the corresponding initial contact resistance value to obtain a corresponding first ratio;

[0012] Performing difference processing on a preset contactor base value and the first ratio to obtain a corresponding contactor health index;

[0013] Ratio processing is performed on the current value and a preset rated current value to obtain a corresponding load rate;

[0014] Based on a preset first evaluation weight, a weighted operation is performed on the contactor health index, the load rate, the voltage deviation rate, the current imbalance, and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

[0015] Optionally, when the device type is a DC distribution panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a battery capacity, and multiple single-cell voltages. The step of performing a fault assessment on the monitoring data based on the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes:

[0016] Ratio processing is performed on the battery capacity and the preset rated capacity to obtain a corresponding battery health status value;

[0017] Performing average processing on the voltages of the individual cells to obtain a corresponding first average value;

[0018] performing difference processing on the maximum value of each of the cell voltages and the minimum value of each of the cell voltages to obtain a corresponding second difference;

[0019] Performing ratio processing on the second difference and the first mean value to obtain a corresponding DC system ripple coefficient;

[0020] Based on a preset second evaluation weight, a weighted operation is performed on the battery health status value, the DC system ripple factor, the voltage deviation rate, the current imbalance and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

[0021] Optionally, when the device type is a branch panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a first action time, a second action time, an ambient temperature, and a branch panel cabinet temperature. The step of performing a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes:

[0022] Performing subtraction processing on the first action time and the second action time to obtain a corresponding selective time difference;

[0023] Performing difference processing on the branch panel cabinet temperature and the ambient temperature to obtain a corresponding third difference;

[0024] Ratio processing is performed on the third difference and the preset rated temperature rise to obtain the corresponding cable temperature rise;

[0025] Based on a preset third evaluation weight, a weighted operation is performed on the selective time difference, the cable temperature rise, the voltage deviation rate, the current imbalance and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

[0026] Optionally, when the device type is a power box, the monitoring data includes multiple characteristic parameters, and the step of performing fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes:

[0027] Determining whether each of the characteristic parameters is within a corresponding power threshold range;

[0028] If the characteristic parameter is within the corresponding power threshold range, determining a preset first state reference value as a fault assessment value of the characteristic parameter;

[0029] If the characteristic parameter is not within the corresponding power threshold range, determining a preset second state reference value as a fault assessment value of the characteristic parameter;

[0030] A state association matrix is ​​constructed using each of the fault assessment values, and the state association matrix is ​​solved based on a preset weight matrix to obtain a state association value corresponding to the distribution load terminal.

[0031] Optionally, when the device type is a switch box, the monitoring data includes power supply voltage, load-side voltage, and load current, and the step of performing fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes:

[0032] Performing difference processing on the power supply voltage and the load side voltage to obtain a corresponding fourth difference;

[0033] Performing ratio processing on the fourth difference and the load current to obtain a corresponding contact resistance;

[0034] The contact resistance and the preset rated contact resistance are input into a preset contact health function to obtain a state association value corresponding to the distribution load terminal.

[0035] Optionally, the step of determining the monitoring result corresponding to the distribution load terminal according to the comparison result of the state association value and a preset state threshold includes:

[0036] When the state association value is less than or equal to the preset state threshold, the preset first warning level is determined as the monitoring result corresponding to the distribution load terminal;

[0037] When the state association value is greater than the state threshold, the preset second warning level is determined as the monitoring result corresponding to the distribution load terminal.

[0038] A second aspect of the present invention provides a distribution load terminal monitoring system based on a communication collector, comprising:

[0039] an acquisition module, configured to acquire monitoring data of the distribution load terminal using a communication collector, and determine whether the monitoring data are all within a corresponding threshold range;

[0040] a fault analysis module, configured to, when the monitoring data are not all within the corresponding threshold range, perform a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal;

[0041] The monitoring module is used to determine the monitoring result corresponding to the distribution load terminal according to the comparison result of the state association value and the preset state threshold.

[0042] A third aspect of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the distribution load terminal monitoring method based on a communication collector as described in any one of the above items.

[0043] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the distribution load terminal monitoring method based on the communication collector as described in any one of the above.

[0044] It can be seen from the above technical solutions that the present invention has the following advantages:

[0045] The present invention uses a communication collector to acquire monitoring data from distribution load terminals and determines whether the monitoring data are all within a corresponding threshold range. If the monitoring data are not all within the corresponding threshold range, a fault assessment is performed on the monitoring data based on the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal. Based on the comparison result of the state association value and a preset state threshold, a monitoring result corresponding to the distribution load terminal is determined. This overcomes the technical problem of the prior art that mainly uses a collector to acquire monitoring data from distribution load terminals and then uploads all monitoring data to a master station for analysis, which easily wastes communication resources and reduces the reliability of distribution network operation. Compared with traditional distribution terminal monitoring methods, the present invention acquires monitoring data from distribution load terminals through a communication collector, and screens distribution load terminals by determining whether the monitoring data are all within a corresponding threshold range. Then, based on the device type of the distribution load terminal, a fault assessment is performed on distribution load terminals whose monitoring data are not all within the corresponding threshold range, obtaining monitoring results corresponding to the distribution load terminals, and then uploading the monitoring results to the master station, avoiding waste of communication resources and improving the reliability of distribution network operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 A flow chart of the steps of a distribution load terminal monitoring method based on a communication collector provided in the first embodiment of the present invention;

[0048] Figure 2 A flow chart of the steps of a distribution load terminal monitoring method based on a communication collector provided in the second embodiment of the present invention;

[0049] Figure 3 This is a structural block diagram of a communication AC / DC power distribution load terminal identification and monitoring system provided in the second embodiment of the present invention;

[0050] Figure 4 This is a structural block diagram of a power distribution load terminal monitoring system based on a communication collector provided in the third embodiment of the present invention;

[0051] Figure 5 This is a structural block diagram of a computer device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0052] The embodiments of the present invention provide a distribution load terminal monitoring method and system based on a communication collector, which is used to solve the technical problem that the existing technology mainly collects the monitoring data of the distribution load terminal through the collector, and then uploads all the monitoring data to the main station for analysis, which easily causes waste of communication resources and reduces the reliability of the distribution network operation.

[0053] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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 making creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 , Figure 1 This is a flowchart of the steps of a distribution load terminal monitoring method based on a communication collector provided in Example 1 of the present invention.

[0055] The present invention provides a distribution load terminal monitoring method based on a communication collector, comprising:

[0056] Step 101: Use a communication collector to obtain monitoring data of a distribution load terminal, and determine whether the monitoring data are all within a corresponding threshold range.

[0057] Distribution load terminal refers to the terminal-level device in the distribution system that completes the conversion, distribution or control of electric energy, including but not limited to branch panel cabinets, terminal panel cabinets, DC distribution panel cabinets, power boxes and switch boxes.

[0058] Monitoring data refers to the data set used to evaluate the distribution load terminal. For example, when the equipment type of the distribution load terminal is a terminal panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, contact resistance value and current value. When the equipment type of the distribution load terminal is a DC distribution panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, battery capacity and multiple single cell voltages. When the equipment type of the distribution load terminal is a branch panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, first action time, second action time, ambient temperature and branch panel cabinet temperature. When the equipment type of the distribution load terminal is a power box, the monitoring data includes multiple characteristic parameters. When the equipment type of the distribution load terminal is a switch box, the monitoring data includes power supply voltage, load side voltage and load current.

[0059] In the embodiment of the present application, the monitoring data of the power distribution load terminal is acquired by the communication collector, and it is judged whether the monitoring data is in the corresponding threshold range. For example, when the device type of the power distribution load terminal is the terminal screen cabinet, the direct current power distribution screen cabinet or the branch screen cabinet, it is judged whether the voltage deviation rate, the current imbalance degree and the insulation resistance value of the monitoring data are in the corresponding threshold range. When the device type of the power distribution load terminal is the power supply box, it is judged whether the input voltage of the monitoring data is in the corresponding threshold range. When the device type of the power distribution load terminal is the switch box, it is judged whether the power supply voltage, the load side voltage and the load current of the monitoring data are in the corresponding threshold range.

[0060] In step 102, when the monitoring data is not in the corresponding threshold range, the fault of the monitoring data is evaluated according to the device type of the power distribution load terminal, and the state correlation value corresponding to the power distribution load terminal is obtained.

[0061] The state correlation value refers to an index for quantifying the state of the power distribution load terminal.

[0062] In the embodiment of the present application, when the monitoring data is not in the corresponding threshold range, the fault of the monitoring data is evaluated based on the device type of the power distribution load terminal, and the state correlation value corresponding to the power distribution load terminal is obtained.

[0063] In step 103, the monitoring result corresponding to the power distribution load terminal is determined according to the comparison result of the state correlation value and the preset state threshold value.

[0064] The state threshold value refers to a critical value for judging whether the power distribution load terminal has a fault.

[0065] In the embodiment of the present application, when the state correlation value is less than or equal to the preset state threshold value, the preset first warning level is determined as the monitoring result corresponding to the power distribution load terminal. When the state correlation value is greater than the state threshold value, the preset second warning level is determined as the monitoring result corresponding to the power distribution load terminal.

[0066] In the embodiment of the present application, the monitoring data of the power distribution load terminal is acquired by using the communication collector, and it is judged whether the monitoring data is in the corresponding threshold range. When the monitoring data is not in the corresponding threshold range, the fault of the monitoring data is evaluated according to the equipment type of the power distribution load terminal, the state correlation value corresponding to the power distribution load terminal is obtained, and the monitoring result corresponding to the power distribution load terminal is determined according to the comparison result of the state correlation value and the preset state threshold. The technical problem that the communication resource is wasted and the reliability of the power distribution network operation is reduced is overcome. Compared with the traditional power distribution terminal monitoring method, the monitoring data of the power distribution load terminal is acquired by using the communication collector, and the power distribution load terminal is screened by judging whether the monitoring data is in the corresponding threshold range. The power distribution load terminal whose monitoring data is not in the corresponding threshold range is evaluated according to the equipment type of the power distribution load terminal, the monitoring result corresponding to the power distribution load terminal is obtained, and the monitoring result is uploaded to the master station, so that the communication resource is not wasted, and the reliability of the power distribution network operation is improved.

[0067] Please refer to Figure 2 , Figure 2 The step flow chart of a power distribution load terminal monitoring method based on a communication collector provided in the second embodiment of the present application is shown in the figure.

[0068] The power distribution load terminal monitoring method based on the communication collector provided in the present application comprises the following steps.

[0069] In step 201, the monitoring data of the power distribution load terminal is acquired by using the communication collector, and it is judged whether the monitoring data is in the corresponding threshold range.

[0070] In the embodiment of the present application, the monitoring data of the power distribution load terminal is acquired by using the communication collector of the communication AC / DC power distribution load terminal identification monitoring system, and it is judged whether the monitoring data is in the corresponding threshold range.

[0071] It should be noted that please refer to Figure 3As shown, the communication AC / DC power distribution load terminal identification and monitoring system includes multiple communication collectors, a collection terminal, a transmission module, and a workstation. The terminal panel cabinet, DC distribution panel cabinet, branch panel cabinet, power supply box, and switch box are all equipped with a communication collector. The communication collector is used to execute steps 201-204. The rectifier panel converts AC power into DC power and is connected to the terminal panel cabinet and DC distribution panel cabinet via transmission lines. The DC distribution panel cabinet is connected to the terminal panel cabinet and branch panel cabinet via transmission lines. The collection terminal is installed on the rectifier panel and communicates with the communication collector via a broadband power line carrier. The collection terminal is used to collect monitoring results from each communication collector and upload them to the workstation via the transmission module. The transmission module includes a switch. The collection terminal is connected to one end of the switch via an RS485 interface based on an IEC618500 gateway. The other end of the switch is connected to the workstation via an RJ45 interface cable.

[0072] Step 202: When the monitoring data are not all within the corresponding threshold range, a fault assessment is performed on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal.

[0073] It is worth mentioning that when the monitoring data are all within the corresponding threshold range, normal operation is determined as the state association value corresponding to the distribution load terminal.

[0074] Furthermore, when the device type is a terminal panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, contact resistance value and current value, and step 202 includes the following sub-steps:

[0075] S11 . Performing difference processing on the contact resistance value and the corresponding initial contact resistance value to obtain a corresponding first difference value.

[0076] In the embodiment of the present invention, the difference between the contact resistance value and the corresponding initial contact resistance value is calculated to obtain the corresponding first difference.

[0077] S12: performing ratio processing on the first difference and the corresponding initial contact resistance value to obtain a corresponding first ratio.

[0078] In the embodiment of the present invention, the ratio between the first difference and the corresponding initial contact resistance value is calculated to obtain the corresponding first ratio.

[0079] S13: performing difference processing on the preset contactor basic value and the first ratio to obtain a corresponding contactor health index.

[0080] In the embodiment of the present invention, the difference between the preset contactor base value and the first ratio is calculated to obtain the corresponding contactor health index.

[0081] In another embodiment, the contact resistance value and the corresponding initial contact resistance value are input into a preset contactor health function to obtain a corresponding contactor health index.

[0082] It should be noted that the contactor health function is specifically:

[0083]

[0084] in, is the contactor health index, is the contact resistance value, is the initial contact resistance value.

[0085] S14: Ratio the current value to the preset rated current value to obtain a corresponding load rate.

[0086] In the embodiment of the present invention, the ratio between the current value and the preset rated current value is calculated to obtain the corresponding load rate.

[0087] S15. Based on a preset first evaluation weight, perform a weighted operation on the contactor health index, load rate, voltage deviation rate, current imbalance, and insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

[0088] The first evaluation weight refers to the weight distribution coefficient corresponding to the contactor health index, load rate, voltage deviation rate, current imbalance and insulation resistance value in the evaluation of the terminal cabinet status.

[0089] It should be noted that the voltage deviation rate can be calculated by obtaining the measured voltage and nominal voltage at the distribution load terminal through the communication collector (i.e., voltage deviation rate = (measured voltage - nominal voltage) / nominal voltage * 100%). The current imbalance can be calculated by obtaining the phase currents at the distribution load terminal through the communication collector (current imbalance = (maximum phase current (the maximum value among all phase currents) - average current (the average value of all phase currents)) / average current * 100%). The insulation resistance value can be calculated by obtaining the test voltage and leakage current at the distribution load terminal through the communication collector (insulation resistance value = test voltage / leakage current).

[0090] In an embodiment of the present invention, a weighted calculation is performed on the contactor health index, load rate, voltage deviation rate, current imbalance and insulation resistance value according to a preset first evaluation weight to obtain a state association value corresponding to the distribution load terminal.

[0091] Furthermore, when the device type is a DC distribution panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, battery capacity, and multiple cell voltages. Step 202 includes the following sub-steps:

[0092] S21, the battery capacity is compared with the preset rated capacity, and a corresponding battery health state value is obtained.

[0093] In the embodiment of the application, the ratio between the battery capacity and the preset rated capacity is calculated to obtain the corresponding battery health state value.

[0094] S22, the average of each single voltage is processed to obtain a corresponding first average.

[0095] In the embodiment of the application, the average of each single voltage is calculated to obtain the corresponding first average.

[0096] S23, the maximum value of each single voltage is subtracted from the minimum value of each single voltage to obtain a corresponding second difference value.

[0097] The single voltage refers to the battery single voltage in the DC power distribution screen cabinet.

[0098] In the embodiment of the application, the difference between the maximum value and the minimum value of each single voltage is calculated to obtain the corresponding second difference value.

[0099] S24, the second difference value is compared with the first average to obtain a corresponding DC system ripple coefficient.

[0100] The DC system ripple coefficient refers to a key indicator for measuring the output quality of the DC power supply, reflecting the proportion of the DC voltage AC component (ripple).

[0101] In the embodiment of the application, the ratio between the second difference value and the first average is calculated to obtain the corresponding DC system ripple coefficient.

[0102] S25, based on the preset second evaluation weight, the battery health state value, the DC system ripple coefficient, the voltage deviation rate, the current imbalance degree and the insulation resistance value are weighted and calculated to obtain a corresponding state correlation value of the power distribution load terminal.

[0103] The second evaluation weight refers to the weight distribution coefficient corresponding to the battery health state value, the DC system ripple coefficient, the voltage deviation rate, the current imbalance degree and the insulation resistance value in the DC power distribution screen cabinet state evaluation.

[0104] In the embodiment of the application, the battery health state value, the DC system ripple coefficient, the voltage deviation rate, the current imbalance degree and the insulation resistance value are weighted and calculated according to the preset second evaluation weight to obtain the corresponding state correlation value of the power distribution load terminal.

[0105] Furthermore, when the device type is a branch panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, first action time, second action time, ambient temperature and branch panel cabinet temperature. Step 202 includes the following sub-steps:

[0106] S31 . Perform difference processing on the first action time and the second action time to obtain a corresponding selective time difference.

[0107] The first action time refers to the action time of the upper protection of the branch panel cabinet.

[0108] The second action time refers to the action time of the lower-level protection of the branch panel cabinet.

[0109] In the embodiment of the present invention, the difference between the first action time and the second action time is calculated to obtain the corresponding selective time difference.

[0110] S32. Perform difference processing on the branch panel cabinet temperature and the ambient temperature to obtain a corresponding third difference.

[0111] In the embodiment of the present invention, the difference between the branch panel cabinet temperature and the ambient temperature is calculated to obtain the corresponding third difference.

[0112] S33. Ratio the third difference to a preset rated temperature rise to obtain a corresponding cable temperature rise.

[0113] In the embodiment of the present invention, the ratio between the third difference and the preset rated temperature rise is calculated to obtain the corresponding cable temperature rise.

[0114] S34. Based on the preset third evaluation weight, perform weighted calculation on the selective time difference, cable temperature rise, voltage deviation rate, current imbalance and insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

[0115] The third evaluation weight refers to the weight distribution coefficient corresponding to the selective time difference, cable temperature rise, voltage deviation rate, current imbalance and insulation resistance value when evaluating the status of the branch panel cabinet.

[0116] In an embodiment of the present invention, a weighted operation is performed on the selective time difference, cable temperature rise, voltage deviation rate, current imbalance and insulation resistance value according to a preset third evaluation weight to obtain a state association value corresponding to the distribution load terminal.

[0117] Furthermore, when the device type is a power box, the monitoring data includes multiple characteristic parameters, and step 202 includes the following sub-steps:

[0118] S41 , determining whether each characteristic parameter is within a corresponding power threshold range.

[0119] Characteristic parameters refer to the monitoring parameters of the power box, including but not limited to input voltage fluctuation rate, switching time, backup time, output current harmonics, battery internal resistance, charging current ripple, ambient temperature, relative humidity and dust concentration.

[0120] S42: If the characteristic parameter is within the corresponding power threshold range, determine the preset first state reference value as the fault assessment value of the characteristic parameter.

[0121] In the embodiment of the present invention, it is determined whether each characteristic parameter is within a corresponding power threshold range. If the characteristic parameter is within the corresponding power threshold range, the fault assessment value of the characteristic parameter is set to 1.

[0122] S43: If the characteristic parameter is not within the corresponding power threshold range, determine the preset second state reference value as the fault assessment value of the characteristic parameter.

[0123] In the embodiment of the present invention, if the characteristic parameter is not within the corresponding power threshold range, the fault assessment value of the characteristic parameter is set to 0.

[0124] S44. Construct a state association matrix using each fault assessment value, and solve the state association matrix based on a preset weight matrix to obtain a state association value corresponding to the distribution load terminal.

[0125] In an embodiment of the present invention, each fault assessment value is used to construct a state correlation matrix, and the state correlation matrix is ​​solved based on a preset weight matrix to obtain the state correlation value corresponding to the distribution load terminal. For example, the state correlation matrix is: , the weight matrix is: , then the state association value is: state association value = 0.6*1+0.6*1+0.3*1+0.1*1=1.6.

[0126] Furthermore, when the device type is a switch box, the monitoring data includes power supply voltage, load side voltage, and load current, and step 202 includes the following sub-steps:

[0127] S51 . Perform difference processing on the power supply voltage and the load side voltage to obtain a corresponding fourth difference.

[0128] In the embodiment of the present invention, the difference between the power supply voltage and the load-side voltage is calculated to obtain the corresponding fourth difference.

[0129] S52 , performing ratio processing on the fourth difference and the load current to obtain a corresponding contact resistance.

[0130] In the embodiment of the present invention, the ratio between the fourth difference and the load current is calculated to obtain the corresponding contact resistance.

[0131] S53, input the contact resistance and the preset rated contact resistance into the preset contact health degree function to obtain a state correlation value corresponding to the power distribution load terminal.

[0132] In the embodiment of the present application, the contact resistance and the preset rated contact resistance are analyzed by the preset contact health degree function to obtain the state correlation value corresponding to the power distribution load terminal.

[0133] It should be noted that the contact health degree function is specifically:

[0134]

[0135] wherein, the contact resistance, the rated contact resistance, the ratio of the contact resistance to the rated contact resistance is not more than 1.

[0136] Step 203, when the state correlation value is less than or equal to the preset state threshold, the preset first warning level is determined as the monitoring result corresponding to the power distribution load terminal.

[0137] The first warning level refers to a signal indicating that the power distribution load terminal may fail.

[0138] In the embodiment of the present application, when the state correlation value is less than or equal to the preset state threshold, it indicates that the power distribution load terminal may have an abnormality, and the preset first warning level is determined as the monitoring result corresponding to the power distribution load terminal.

[0139] Step 204, when the state correlation value is greater than the state threshold, the preset second warning level is determined as the monitoring result corresponding to the power distribution load terminal.

[0140] The second warning level refers to a signal indicating that the power distribution load terminal has a fault.

[0141] In the embodiment of the present application, when the state correlation value is greater than the state threshold, it indicates that the power distribution load terminal has an abnormality, and the preset second warning level is determined as the monitoring result corresponding to the power distribution load terminal.

[0142] In an embodiment of the present invention, a communication collector is used to acquire monitoring data from distribution load terminals and determine whether the monitoring data is within a corresponding threshold range. If the monitoring data is not within the corresponding threshold range, a fault assessment is performed on the monitoring data based on the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal. Based on the comparison result of the state association value with a preset state threshold, a monitoring result corresponding to the distribution load terminal is determined. This overcomes the technical problem of the prior art that mainly uses a collector to acquire monitoring data from distribution load terminals and then uploads all monitoring data to a master station for analysis, which easily wastes communication resources and reduces the reliability of distribution network operation. Compared with traditional distribution terminal monitoring methods, the present invention acquires monitoring data from distribution load terminals through a communication collector, screens distribution load terminals by determining whether the monitoring data is within a corresponding threshold range, and then performs a fault assessment on distribution load terminals whose monitoring data is not within the corresponding threshold range based on the device type of the distribution load terminal to obtain a monitoring result corresponding to the distribution load terminal. The monitoring result is then uploaded to the master station, avoiding the waste of communication resources and improving the reliability of distribution network operation.

[0143] See also Figure 4 , Figure 4 This is a structural block diagram of a distribution load terminal monitoring system based on a communication collector provided in the third embodiment of the present invention.

[0144] The present invention provides a distribution load terminal monitoring system based on a communication collector, comprising:

[0145] The acquisition module 301 is used to acquire monitoring data of the distribution load terminal using a communication collector and determine whether the monitoring data are all within a corresponding threshold range;

[0146] The fault analysis module 302 is configured to perform a fault assessment on the monitoring data according to the device type of the distribution load terminal when the monitoring data are not all within the corresponding threshold range, and obtain a state correlation value corresponding to the distribution load terminal;

[0147] The monitoring module 303 is configured to determine a monitoring result corresponding to the distribution load terminal according to a comparison result between the state association value and a preset state threshold.

[0148] Furthermore, when the device type is a terminal panel cabinet, the monitoring data includes voltage deviation rate, current imbalance, insulation resistance value, contact resistance value and current value. The fault analysis module 302 includes:

[0149] A first difference submodule, configured to perform difference processing on the contact resistance value and the corresponding initial contact resistance value to obtain a corresponding first difference value;

[0150] The first ratio submodule is configured to perform ratio processing on the first difference value and the corresponding initial contact resistance value to obtain a corresponding first ratio value.

[0151] The contactor health submodule is configured to perform difference processing on the preset contactor base value and the first ratio value to obtain a corresponding contactor health index.

[0152] The load rate submodule is configured to perform ratio processing on the current value and the preset rated current value to obtain a corresponding load rate.

[0153] The first weighting submodule is configured to perform weighting operation on the contactor health index, the load rate, the voltage deviation rate, the current imbalance degree, and the insulation resistance value based on a preset first evaluation weight to obtain a state correlation value corresponding to the power distribution load terminal.

[0154] Further, when the device type is a direct-current power distribution panel, the monitoring data includes the voltage deviation rate, the current imbalance degree, the insulation resistance value, the battery capacity, and a plurality of single voltages, the fault analysis module 302 includes:

[0155] The battery evaluation submodule is configured to perform ratio processing on the battery capacity and the preset rated capacity to obtain a corresponding battery health state value.

[0156] The first mean value submodule is configured to perform mean value processing on the plurality of single voltages to obtain a corresponding first mean value.

[0157] The second difference submodule is configured to perform difference processing on the maximum value of the plurality of single voltages and the minimum value of the plurality of single voltages to obtain a corresponding second difference value.

[0158] The direct-current system ripple coefficient submodule is configured to perform ratio processing on the second difference value and the first mean value to obtain a corresponding direct-current system ripple coefficient.

[0159] The second weighting submodule is configured to perform weighting operation on the battery health state value, the direct-current system ripple coefficient, the voltage deviation rate, the current imbalance degree, and the insulation resistance value based on a preset second evaluation weight to obtain a state correlation value corresponding to the power distribution load terminal.

[0160] Further, when the device type is a branch panel, the monitoring data includes the voltage deviation rate, the current imbalance degree, the insulation resistance value, a first action time, a second action time, an ambient temperature, and a branch panel temperature, the fault analysis module 302 includes:

[0161] The selective time difference submodule is configured to perform difference processing on the first action time and the second action time to obtain a corresponding selective time difference.

[0162] a third difference submodule configured to obtain a third difference by performing difference processing on the branch cabinet temperature and the ambient temperature;

[0163] a cable temperature rise submodule configured to obtain a cable temperature rise by performing ratio processing on the third difference and a preset rated temperature rise;

[0164] a third weighting submodule configured to obtain a state correlation value corresponding to the power distribution load terminal by performing weighted operation on the selective time difference, the cable temperature rise, the voltage deviation rate, the current imbalance degree, and the insulation resistance value based on a preset third evaluation weight.

[0165] Further, when the device type is a power supply box, the monitoring data include a plurality of characteristic parameters, and the fault analysis module 302 includes:

[0166] a first analysis submodule configured to determine whether each characteristic parameter is within a corresponding power supply threshold range;

[0167] if the characteristic parameter is within the corresponding power supply threshold range, a preset first state reference value is determined as a fault evaluation value of the characteristic parameter;

[0168] if the characteristic parameter is not within the corresponding power supply threshold range, a preset second state reference value is determined as the fault evaluation value of the characteristic parameter;

[0169] a state correlation submodule configured to construct a state correlation matrix using the fault evaluation values and solve the state correlation matrix based on a preset weight matrix to obtain the state correlation value corresponding to the power distribution load terminal.

[0170] Further, when the device type is a switch box, the monitoring data include a power supply voltage, a load-side voltage, and a load current, and the fault analysis module 302 includes:

[0171] a fourth difference submodule configured to obtain a fourth difference by performing difference processing on the power supply voltage and the load-side voltage;

[0172] a contact resistance submodule configured to obtain a contact resistance by performing ratio processing on the fourth difference and the load current;

[0173] a contact health degree submodule configured to obtain the state correlation value corresponding to the power distribution load terminal by inputting the contact resistance and a preset rated contact resistance into a preset contact health degree function.

[0174] Further, the monitoring module 303 includes:

[0175] a first early warning submodule configured to determine a preset first early warning level as a monitoring result corresponding to the power distribution load terminal when the state correlation value is less than or equal to a preset state threshold value;

[0176] The second early warning sub-module is configured to determine a second preset early warning level as the monitoring result corresponding to the power distribution load terminal when the state correlation value is greater than the state threshold value.

[0177] Please refer to Figure 5 , Figure 5 A structural block diagram of a computer device provided in Embodiment Four of the present application.

[0178] The electronic device of the embodiment of the present application comprises a memory 401 and a processor 402, the memory 401 stores a computer program; the computer program is executed by the processor 402 to make the processor 402 execute the power distribution load terminal monitoring method based on the communication collector according to any one of the above embodiments.

[0179] The memory 401 can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk or a ROM. The memory 401 has a storage space 403 for program codes 413 for executing any of the above methods. For example, the storage space 403 for program codes can include respective program codes 413 for implementing respective steps in the above methods. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program codes can be compressed in a suitable form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform respective steps in the above described methods. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. The program codes can be compressed in a suitable form, for example. These codes, when executed by a computing processing device, cause the computing processing device to perform respective steps in the above described power distribution load terminal monitoring method based on the communication collector.

[0180] Embodiment Five of the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the power distribution load terminal monitoring method based on the communication collector according to any one of the above embodiments.

[0181] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above described system, device and unit can refer to the corresponding processes in the above method embodiments, which will not be described here.

[0182] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0183] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0184] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0185] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0186] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A distribution load terminal monitoring method based on a communication collector, characterized in that: include: Using a communication collector to obtain monitoring data of the distribution load terminal, and determining whether the monitoring data are all within a corresponding threshold range; When the monitoring data are not all within the corresponding threshold range, a fault assessment is performed on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal; The monitoring result corresponding to the distribution load terminal is determined according to the comparison result of the state association value and the preset state threshold.

2. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: When the device type is a terminal panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a contact resistance value, and a current value. The step of performing a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes: Performing difference processing on the contact resistance value and the corresponding initial contact resistance value to obtain a corresponding first difference value; Performing a ratio processing on the first difference and the corresponding initial contact resistance value to obtain a corresponding first ratio; Performing difference processing on a preset contactor base value and the first ratio to obtain a corresponding contactor health index; Ratio processing is performed on the current value and a preset rated current value to obtain a corresponding load rate; Based on a preset first evaluation weight, a weighted operation is performed on the contactor health index, the load rate, the voltage deviation rate, the current imbalance, and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

3. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: When the device type is a DC distribution panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a battery capacity, and multiple single-cell voltages. The step of performing a fault assessment on the monitoring data based on the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes: Ratio processing is performed on the battery capacity and the preset rated capacity to obtain a corresponding battery health status value; Performing average processing on the voltages of the individual cells to obtain a corresponding first average value; performing difference processing on the maximum value of each of the cell voltages and the minimum value of each of the cell voltages to obtain a corresponding second difference; Performing ratio processing on the second difference and the first mean value to obtain a corresponding DC system ripple coefficient; Based on a preset second evaluation weight, a weighted operation is performed on the battery health status value, the DC system ripple factor, the voltage deviation rate, the current imbalance and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

4. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: When the device type is a branch panel cabinet, the monitoring data includes a voltage deviation rate, a current imbalance, an insulation resistance value, a first action time, a second action time, an ambient temperature, and a branch panel cabinet temperature. The step of performing a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a status association value corresponding to the distribution load terminal includes: Performing subtraction processing on the first action time and the second action time to obtain a corresponding selective time difference; Performing difference processing on the branch panel cabinet temperature and the ambient temperature to obtain a corresponding third difference; Ratio processing is performed on the third difference and the preset rated temperature rise to obtain the corresponding cable temperature rise; Based on a preset third evaluation weight, a weighted operation is performed on the selective time difference, the cable temperature rise, the voltage deviation rate, the current imbalance and the insulation resistance value to obtain a state association value corresponding to the distribution load terminal.

5. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: When the device type is a power box, the monitoring data includes multiple characteristic parameters, and the step of performing fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal includes: Determining whether each of the characteristic parameters is within a corresponding power threshold range; If the characteristic parameter is within the corresponding power threshold range, determining a preset first state reference value as a fault assessment value of the characteristic parameter; If the characteristic parameter is not within the corresponding power threshold range, determining a preset second state reference value as a fault assessment value of the characteristic parameter; A state association matrix is ​​constructed using each of the fault assessment values, and the state association matrix is ​​solved based on a preset weight matrix to obtain a state association value corresponding to the distribution load terminal.

6. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: When the device type is a switch box, the monitoring data includes power supply voltage, load-side voltage, and load current. The step of performing fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal includes: Performing difference processing on the power supply voltage and the load side voltage to obtain a corresponding fourth difference; Performing ratio processing on the fourth difference and the load current to obtain a corresponding contact resistance; The contact resistance and the preset rated contact resistance are input into a preset contact health function to obtain a state association value corresponding to the distribution load terminal.

7. The method for monitoring power distribution load terminals based on a communication collector according to claim 1, characterized in that: The step of determining the monitoring result corresponding to the distribution load terminal according to the comparison result of the state association value and the preset state threshold comprises: When the state association value is less than or equal to the preset state threshold, the preset first warning level is determined as the monitoring result corresponding to the distribution load terminal; When the state association value is greater than the state threshold, the preset second warning level is determined as the monitoring result corresponding to the distribution load terminal.

8. A distribution load terminal monitoring system based on a communication collector, characterized in that: include: an acquisition module, configured to acquire monitoring data of the distribution load terminal using a communication collector, and determine whether the monitoring data are all within a corresponding threshold range; a fault analysis module configured to, when the monitoring data are not all within the corresponding threshold range, perform a fault assessment on the monitoring data according to the device type of the distribution load terminal to obtain a state association value corresponding to the distribution load terminal; The monitoring module is used to determine the monitoring result corresponding to the distribution load terminal according to the comparison result of the state association value and the preset state threshold.

9. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the distribution load terminal monitoring method based on the communication collector according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the distribution load terminal monitoring method based on the communication collector according to any one of claims 1 to 7 is implemented.

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