Low-voltage intelligent monitoring system

Abstract

The invention relates to the technical field of power monitoring, in particular to a low-voltage intelligent monitoring system, which comprises an acquisition module used for acquiring daily operation parameters of a distribution transformer in a low-voltage transformer area; the metering module is used for metering the real-time accumulated distribution quantity of the distribution transformer in the voltage transformer area; the sensing module is used for sensing the operation vibration spectrum of the voltage transformer area distribution transformer in real time; the low-voltage transformer area distribution transformer monitoring system takes the low-voltage transformer area distribution transformer as a main monitoring object, comprehensively collects the operation parameters of the transformer, and meanwhile, achieves the real-time monitoring of the low-voltage transformer area distribution transformer on the basis of the accumulated metering of the transmission electric quantity and the bidirectional monitoring of the operation vibration spectrum of the transformer. Different trigger conditions are provided for the safety analysis of the operation state of the transformer in the system, so that the real-time monitoring analysis of the distribution transformer in the low-voltage transformer area is realized, and the comprehensive operation parameters of the transformer are used for judging whether the operation state of the transformer is safe or not.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power monitoring, and in particular to a low-voltage intelligent monitoring system. Background Art

[0002] The transformer is a key device in the low-voltage area. It is mainly used to convert medium-voltage electricity into low-voltage electricity, like an electric "bridge". In the low-voltage area, the transformer receives medium-voltage input from the upper power grid, such as 10kV voltage, and then steps it down to 380V / 220V, providing stable low-voltage electricity for residents and small commercial users, and is an important hub for ensuring power supply.

[0003] The invention patent with application number 202210181538.1 discloses a low-voltage substation intelligent monitoring system, which includes a substation topology monitoring and identification subsystem, and the substation topology monitoring and identification subsystem includes: a resonant circuit (1), which is arranged in each intelligent micro-breaker device on each branch line of the substation to generate a specified resonant current; a current fingerprint signal generating module (2), which is used to generate a current fingerprint signal corresponding to the current intelligent micro-breaker device according to the resonant current generated by the resonant circuit (1) in the current intelligent micro-breaker device and the address code of the current intelligent micro-breaker device, and transmit it on each branch line according to the line topology structure; a substation topology identification module (3), which is used to receive the current fingerprint signal for decoding, and obtain the physical topology structure of the substation according to the address code obtained by decoding.

[0004] This application aims to solve the problem that "the transmission distance of characteristic current is often short and easy to cause interference to the substation. For example, in order to avoid signal interference to the substation, the frequency of the characteristic current is often set higher, and too high a frequency will cause the current to decay quickly during the transmission process, resulting in the characteristic current signal not being received at the receiving end or the received characteristic current signal being weak. Therefore, the above-mentioned substation topology identification method based on characteristic current is actually only applicable to short distances. If a lower frequency characteristic current is used, it will cause signal interference to the substation."

[0005] However, the current power safety monitoring methods in low-voltage areas have not been innovated for a long time, and most of them implement monitoring with a designated, single monitoring logic, resulting in a large room for improvement in the cable safety monitoring effect in low-voltage areas.

[0006] Therefore, a low voltage intelligent monitoring system is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a low-voltage intelligent monitoring system, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: A low voltage intelligent monitoring system, comprising: The acquisition module is used to collect the daily operating parameters of the low-voltage distribution transformer in the substation; the metering module is used to measure the real-time cumulative distribution of the low-voltage distribution transformer in the substation; the perception module is used to perceive the operating vibration spectrum of the low-voltage distribution transformer in the substation in real time; the analysis module is used to receive the daily operating parameters of the low-voltage distribution transformer in the substation collected by the acquisition module, and analyze the safety situation of the transformer operation status based on the daily operating parameters of the transformer; the judgment module is used to obtain the safety situation of the transformer operation status analyzed by the analysis module, set the safety judgment threshold, and compare the analysis result of the transformer operation status safety situation with the safety judgment threshold to determine whether the transformer operation status is safe; the interaction module is used to obtain the judgment result of the judgment module on whether the transformer operation status is safe, and feedback the judgment result to the system end user.

[0009] Furthermore, the daily operating parameters of the transformer collected by the acquisition module include: primary side voltage, secondary side voltage, primary side current, secondary side current, capacity, power factor, and oil temperature. The acquisition module is provided with submodules at the lower level, including: A control unit, used to configure an operating frequency for the acquisition module, and control the acquisition module to continuously operate and acquire daily operating parameters of the transformer based on the specified operating frequency; A storage unit is used to receive the daily operation parameters of the transformer collected by the collection module and collect the daily operation parameters of the transformer; Among them, three groups of operating frequencies are set in the control unit and are customized by the system-side user. The three groups of operating frequencies are applied to the valley, flat and peak power periods in the process of transformer collecting daily operating parameters. The collection frequencies configured in the valley, flat and peak power periods are respectively subject to: the collection frequency in the valley power period is lower than the collection frequency in the flat power period, and the collection frequency in the flat power period is lower than the collection frequency in the peak power period. When the storage module stores the daily operating parameters of the transformer, the storage is based on the time sequence of the collection frequency, and the storage is differentiated based on the source period of the collection frequency.

[0010] Furthermore, the metering module is internally provided with submodules, including: The trigger unit is used to set a trigger threshold, receive the transformer power distribution measured by the metering module in real time, and trigger the analysis module to run based on the comparison between the measured transformer power distribution and the trigger threshold; Among them, the trigger threshold set in the trigger unit is customized by the system user, and the metering module runs the real-time cumulative distribution power of the metering transformer, which is synchronously executed by the system at the beginning stage of the low-voltage distribution transformer. The metering module runs the real-time cumulative distribution power of the metering transformer, that is, the cumulative output power of the transformer.

[0011] Furthermore, the perception module is integrated with a sensor capable of perceiving the transformer operation vibration spectrum. The perception module runs synchronously with the acquisition module. In the transformer operation parameter acquisition stage, the transformer operation vibration spectrum is synchronously perceived. After the perception module perceives the transformer operation vibration spectrum, the transformer operation vibration variation rate is synchronously evaluated based on the transformer operation vibration spectrum. A jump trigger unit is further decided based on the transformer operation vibration variation rate. The application trigger unit triggers the jump again to enable the analysis module to run. Among them, the metering module and the perception module run synchronously in the system. The period of the perception module to perceive the transformer operation vibration spectrum is customized by the system user. The perception module perceives the transformer operation vibration spectrum based on the set period, and after each transformer operation vibration spectrum is perceived, the transformer operation vibration variation rate is calculated. After the transformer operation vibration variation rate is calculated, the transformer operation vibration spectrum perceived by the perception module is discarded, and a new set of transformer operation vibration spectrum perception operations are performed again.

[0012] Furthermore, the evaluation logic of the transformer operation vibration variation rate is expressed as: Obtain the transformer operation vibration spectrum, divide the spectrum into hours, and obtain several groups of sub-spectra;

[0013] Where: It is the transformer operation vibration variation rate; is the total amount of sub-spectra; is the similarity between the i-th sub-spectrum and the i+1-th sub-spectrum; is the set of midpoints of the sub-spectrum; is the value of the jth point in the i-th sub-spectrum; is the value of the jth point in the i+1th sub-spectrum; in, Express The perception module operates to record the obtained transformer operation vibration variation rate. When the currently obtained transformer operation vibration variation rate is greater than the transformer operation vibration variation rate recorded in the previous set of perception modules, a decision is made to jump to the trigger unit.

[0014] Furthermore, the logic expression of the analysis module running to analyze the safety situation of the transformer operation status is: ; Where: is the safety situation value of the transformer operation status; The safety status values ​​of the transformer's operating status during valley, flat and peak power periods respectively; is the weight; is the calibration factor; It is the safety status value of the transformer's operating status during valley, flat or peak power periods; Collect the total amount of daily operating parameters of the transformer for the acquisition module; is the primary side voltage in the vth group of parameters; is the secondary voltage in the vth group of parameters; is the primary current in the vth group of parameters; is the secondary current in the vth group of parameters; is the apparent power in the vth group of parameters; is the power factor in the vth group of parameters; is the oil temperature in the vth group of parameters; Among them, the weight are all greater than zero and sum to 1, and , apparent power is the transformer capacity in the daily operation parameters of the transformer, and the transformer operation status safety status value The smaller it is, the safer the transformer operation status is. Conversely, the higher the transformer operation risk is.

[0015] Furthermore, the calibration factor is 1 or 1.1; During the operation phase of the analysis module, the trigger source of its own operation is synchronously identified. When the trigger source is the measurement module, the calibration factor is 1; when the trigger source is the perception module, the calibration factor is 1.1.

[0016] Furthermore, the safety determination threshold set in the determination module is customized by the system end user, and the determination module is provided with submodules at the lower level, including: The adaptive unit is used to continuously receive the determination results of the determination module, and when the determination results of the determination module are continuously negative, control the low-voltage distribution transformer in the distribution line to be disconnected; The condition for the continuous determination results to be negative is that at least two groups of continuous determination results are negative.

[0017] Furthermore, during the operation stage of the interactive module, it is connected to the computer equipment of the low-voltage substation management background through a wireless network, and the determination result of whether the operating status of the transformer is safe is fed back to the computer equipment, and the system end user reads the determination result of whether the operating status of the transformer is safe on the computer equipment.

[0018] Furthermore, the acquisition module is interactively connected to a control unit and a storage unit at a lower level through a wireless network, the acquisition module is interactively connected to a metering module and a perception module through a wireless network, the metering module is interactively connected to a trigger unit through a wireless network, the perception module is interactively connected to the trigger unit through a wireless network, the metering module and the perception module are interactively connected to an analysis module through a wireless network, the analysis module is interactively connected to a determination module and an interaction module through a wireless network, and the determination module is interactively connected to an adaptive unit at a lower level through a wireless network.

[0019] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects: The present invention provides a low-voltage intelligent monitoring system. During operation, the system takes the distribution transformer in the low-voltage substation as the main monitoring object, comprehensively collects the operating parameters of the transformer, and simultaneously provides different trigger conditions for the analysis of the safety of the transformer operating status in the system based on the cumulative measurement of the transmitted electricity and the two-way monitoring of the transformer operating vibration spectrum, thereby realizing real-time monitoring and analysis of the distribution transformer in the low-voltage substation, applying comprehensive transformer operating parameters to determine whether the transformer operating status is safe, and finally mapping the daily operating status safety of the low-voltage substation with the analysis result of the transformer operating status, ensuring the long-term and stable operation of the low-voltage substation, and bringing reliable distribution services to electricity users in the low-voltage substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 The figure is a structural diagram of a low voltage intelligent monitoring system. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 described embodiments are 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.

[0023] The present invention will be further described below in conjunction with the embodiments.

[0024] Example: A low voltage intelligent monitoring system of this embodiment, such as Figure 1 As shown, including: The acquisition module is used to collect the daily operating parameters of the low-voltage distribution transformer; The daily operating parameters of the transformer collected by the acquisition module include: primary side voltage, secondary side voltage, primary side current, secondary side current, capacity, power factor, and oil temperature. The acquisition module is provided with submodules at the lower level, including: A control unit, used to configure an operating frequency for the acquisition module, and control the acquisition module to continuously operate and acquire daily operating parameters of the transformer based on the specified operating frequency; A storage unit is used to receive the daily operation parameters of the transformer collected by the collection module and collect the daily operation parameters of the transformer; Among them, three groups of operating frequencies are set in the control unit and are customized by the system end user. The three groups of operating frequencies are applied to the valley, flat and peak power periods in the process of transformer collecting daily operating parameters. The collection frequencies configured in the valley, flat and peak power periods are respectively subject to: the collection frequency in the valley power period is lower than the collection frequency in the flat power period, and the collection frequency in the flat power period is lower than the collection frequency in the peak power period. When the storage module stores the daily operating parameters of the transformer, it is stored based on the time sequence of the collection frequency, and the storage is differentiated based on the source period of the collection frequency; Metering module, used to measure the real-time cumulative power distribution of distribution transformers in voltage distribution areas; The metering module is internally provided with submodules, including: The trigger unit is used to set a trigger threshold, receive the transformer power distribution measured by the metering module in real time, and trigger the analysis module to run based on the comparison between the measured transformer power distribution and the trigger threshold; Among them, the trigger threshold set in the trigger unit is customized by the system end user, and the metering module runs the real-time cumulative power distribution operation of the metering transformer, which is synchronously executed by the system at the beginning of the low-voltage distribution transformer. The metering module runs the real-time cumulative power distribution operation of the metering transformer, that is, the cumulative output power of the transformer; The sensing module is used to sense the operating vibration spectrum of the distribution transformer in the voltage station area in real time; The evaluation logic of the transformer operation vibration variation rate is expressed as: Obtain the transformer operation vibration spectrum, divide the spectrum into hours, and obtain several groups of sub-spectra;

[0025] Where: It is the transformer operation vibration variation rate; is the total amount of sub-spectra; is the similarity between the i-th sub-spectrum and the i+1-th sub-spectrum; is the set of midpoints of the sub-spectrum; is the value of the jth point in the i-th sub-spectrum; is the value of the jth point in the i+1th sub-spectrum; in, Express The sensing module runs to record the obtained transformer operation vibration variation rate. When the currently obtained transformer operation vibration variation rate is greater than the transformer operation vibration variation rate recorded in the previous set of sensing modules, a decision is made to jump to the trigger unit. An analysis module is used to receive the daily operation parameters of the low-voltage distribution transformer in the substation collected by the collection module, and analyze the safety situation of the transformer operation status based on the daily operation parameters of the transformer; By limiting the evaluation logic formula of the transformer operation vibration variation rate mentioned above, another trigger operation logic is provided for the analysis module of the system in this embodiment, ensuring that the system operation has a more comprehensive monitoring effect on the low-voltage substation.

[0026] The logic expression of the analysis module running to analyze the safety situation of transformer operation status is: ; Where: is the safety situation value of the transformer operation status; The safety status values ​​of the transformer's operating status during valley, flat and peak power periods respectively; is the weight; is the calibration factor; It is the safety status value of the transformer's operating status during valley, flat or peak power periods; Collect the total amount of daily operating parameters of the transformer for the acquisition module; is the primary side voltage in the vth group of parameters; is the secondary voltage in the vth group of parameters; is the primary current in the vth group of parameters; is the secondary current in the vth group of parameters; is the apparent power in the vth group of parameters; is the power factor in the vth group of parameters; is the oil temperature in the vth group of parameters; Among them, the weight are all greater than zero and sum to 1, and , apparent power is the transformer capacity in the daily operation parameters of the transformer, and the transformer operation status safety status value The smaller the value, the safer the transformer operation state is; conversely, the higher the transformer operation risk is. Through the above logical formula, the transformer operating status and safety situation are output in digital form, providing necessary operating data support for the operation of subsequent modules of the system.

[0027] The calibration factor is 1 or 1.1; During the operation phase of the analysis module, the trigger source of its own operation is synchronously identified. When the trigger source is the measurement module, the calibration factor is 1, and when the trigger source is the perception module, the calibration factor is 1.1; A determination module is used to obtain the transformer operation status safety situation analyzed by the analysis module, set a safety determination threshold, and determine whether the transformer operation status is safe based on the comparison between the transformer operation status safety situation analysis result and the safety determination threshold; The safety determination threshold set in the determination module is customized by the system end user. The determination module is provided with submodules at the lower level, including: The adaptive unit is used to continuously receive the determination results of the determination module, and when the determination results of the determination module are continuously negative, control the low-voltage distribution transformer in the distribution line to be disconnected; The condition for the continuous determination result to be negative is that at least two consecutive sets of determination results are negative; An interactive module is used to obtain the determination result of whether the operation of the determination module is safe for the transformer operation state, and feed back the determination result to the system end user; The acquisition module is interactively connected to a control unit and a storage unit at a lower level through a wireless network, the acquisition module is interactively connected to a metering module and a perception module through a wireless network, the metering module is interactively connected to a trigger unit through a wireless network, the perception module is interactively connected to the trigger unit through a wireless network, the metering module and the perception module are interactively connected to an analysis module through a wireless network, the analysis module is interactively connected to a determination module and an interaction module through a wireless network, and the determination module is interactively connected to an adaptive unit at a lower level through a wireless network.

[0028] In this embodiment, the acquisition module operates to collect daily operating parameters of low-voltage distribution transformers, the control unit synchronously configures the operating frequency for the acquisition module, controls the acquisition module to continuously operate and collect daily operating parameters of transformers based on the specified operating frequency, the storage unit receives the daily operating parameters of transformers collected by the acquisition module in real time, and collects the daily operating parameters of transformers, the metering module operates to measure the real-time accumulated distribution of voltage distribution transformers in the area, the triggering unit synchronously sets the triggering threshold, receives the transformer distribution measured by the metering module in real time, and compares the measured transformer distribution with the triggering threshold to trigger the analysis module to run; The perception module further perceives the operating vibration spectrum of the low-voltage distribution transformer in real time, and then the analysis module receives the daily operating parameters of the low-voltage distribution transformer collected by the collection module, and analyzes the safety situation of the transformer operation status based on the daily operating parameters of the transformer. The judgment module obtains the safety situation of the transformer operation status analyzed by the analysis module, sets the safety judgment threshold, and compares the analysis result of the transformer operation status safety situation with the safety judgment threshold to determine whether the transformer operation status is safe. The adaptive unit synchronously and continuously receives the judgment result of the judgment module. When the continuous judgment result of the judgment module is no, the low-voltage distribution transformer is controlled to be disconnected from the distribution line. Finally, the interaction module obtains the judgment result of the judgment module on whether the transformer operation status is safe, and the judgment result is fed back to the system end user.

[0029] Through the operation of the system in the above embodiment, comprehensive and real-time monitoring is provided for the low-voltage distribution transformers, thereby ensuring a more stable operation of the low-voltage distribution network.

[0030] like Figure 1 As shown, during the operation phase of the interactive module, the interactive module is connected to the computer device of the low-voltage substation management background through a wireless network, and the determination result of whether the operating status of the transformer is safe is fed back to the computer device, and the system end user reads the determination result of whether the operating status of the transformer is safe on the computer device.

[0031] Through the above settings, the interaction logic between this system and the low-voltage area management background is further limited to ensure stable interaction between the system and the low-voltage area management background, so as to carry out daily safety management of the low-voltage area more quickly.

[0032] In summary, during the operation of the system in the above embodiment, the low-voltage distribution transformer in the substation is taken as the main monitoring object, and the operating parameters of the transformer are comprehensively collected. At the same time, based on the two-way monitoring of the cumulative metering of transmitted electricity and the transformer operation vibration spectrum, different trigger conditions are provided for the analysis of the safety of the transformer operation status in the system, thereby realizing real-time monitoring and analysis of the distribution transformer in the low-voltage substation, and applying comprehensive transformer operating parameters to determine whether the transformer operation status is safe. Finally, the analysis results of the transformer operation status are used to map the daily operation status safety of the low-voltage substation, ensure the long-term and stable operation of the low-voltage substation, and bring reliable distribution services to electricity users in the low-voltage substation.

[0033] 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 the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A low voltage intelligent monitoring system, characterized in that: include: The acquisition module is used to collect the daily operating parameters of the low-voltage distribution transformer; Metering module, used to measure the real-time cumulative power distribution of distribution transformers in voltage distribution areas; The sensing module is used to sense the operating vibration spectrum of the distribution transformer in the voltage station area in real time; An analysis module is used to receive the daily operation parameters of the low-voltage distribution transformer in the substation collected by the collection module, and analyze the safety situation of the transformer operation status based on the daily operation parameters of the transformer; A determination module is used to obtain the transformer operation status safety situation analyzed by the analysis module, set a safety determination threshold, and determine whether the transformer operation status is safe based on the comparison between the transformer operation status safety situation analysis result and the safety determination threshold; The interactive module is used to obtain the determination result of whether the operation of the determination module is safe for the transformer operation state, and feed back the determination result to the system end user.

2. A low voltage intelligent monitoring system according to claim 1, characterized in that: The daily operating parameters of the transformer collected by the acquisition module include: primary side voltage, secondary side voltage, primary side current, secondary side current, capacity, power factor, and oil temperature. The acquisition module is provided with submodules at the lower level, including: A control unit, used to configure an operating frequency for the acquisition module, and control the acquisition module to continuously operate and acquire daily operating parameters of the transformer based on the specified operating frequency; A storage unit is used to receive the daily operation parameters of the transformer collected by the collection module and collect the daily operation parameters of the transformer; Among them, three groups of operating frequencies are set in the control unit and are customized by the system-side user. The three groups of operating frequencies are applied to the valley, flat and peak power periods in the process of transformer collecting daily operating parameters. The collection frequencies configured in the valley, flat and peak power periods are respectively subject to: the collection frequency in the valley power period is lower than the collection frequency in the flat power period, and the collection frequency in the flat power period is lower than the collection frequency in the peak power period. When the storage module stores the daily operating parameters of the transformer, the storage is based on the time sequence of the collection frequency, and the storage is differentiated based on the source period of the collection frequency.

3. A low voltage intelligent monitoring system according to claim 1, characterized in that: The metering module is internally provided with submodules, including: The trigger unit is used to set a trigger threshold, receive the transformer power distribution measured by the metering module in real time, and trigger the analysis module to run based on the comparison between the measured transformer power distribution and the trigger threshold; Among them, the trigger threshold set in the trigger unit is customized by the system user, and the metering module runs the real-time cumulative distribution power of the metering transformer, which is synchronously executed by the system at the beginning stage of the low-voltage distribution transformer. The metering module runs the real-time cumulative distribution power of the metering transformer, that is, the cumulative output power of the transformer.

4. A low voltage intelligent monitoring system according to claim 1, characterized in that: The sensing module is integrated with a sensor capable of sensing the transformer operation vibration spectrum. The sensing module runs synchronously with the acquisition module. In the transformer operation parameter acquisition stage, the operating vibration spectrum of the transformer is synchronously sensed. After the sensing module senses the transformer operation vibration spectrum, the transformer operation vibration variation rate is synchronously evaluated based on the transformer operation vibration spectrum. A jump trigger unit is further decided based on the transformer operation vibration variation rate. The application trigger unit triggers the jump again to enable the analysis module to run. Among them, the metering module and the perception module run synchronously in the system. The period of the perception module to perceive the transformer operation vibration spectrum is customized by the system user. The perception module perceives the transformer operation vibration spectrum based on the set period, and after each transformer operation vibration spectrum is perceived, the transformer operation vibration variation rate is calculated. After the transformer operation vibration variation rate is calculated, the transformer operation vibration spectrum perceived by the perception module is discarded, and a new set of transformer operation vibration spectrum perception operations are performed again.

5. A low voltage intelligent monitoring system according to claim 4, characterized in that: The evaluation logic of the transformer operation vibration variation rate is expressed as: Obtain the transformer operation vibration spectrum, divide the spectrum into hours, and obtain several groups of sub-spectra; ； Where: It is the transformer operation vibration variation rate; is the total amount of sub-spectra; is the similarity between the i-th sub-spectrum and the i+1-th sub-spectrum; is the set of midpoints of the sub-spectrum; is the value of the jth point in the i-th sub-spectrum; is the value of the jth point in the i+1th sub-spectrum; in, Express The perception module operates to record the obtained transformer operation vibration variation rate. When the currently obtained transformer operation vibration variation rate is greater than the transformer operation vibration variation rate recorded in the previous set of perception modules, a decision is made to jump to the trigger unit.

6. A low voltage intelligent monitoring system according to claim 1, characterized in that: The logic expression of the analysis module running to analyze the safety situation of transformer operation status is: ； Where: is the safety situation value of the transformer operation status; The safety status values ​​of the transformer's operating status during valley, flat and peak power periods respectively; is the weight; is the calibration factor; It is the safety status value of the transformer's operating status during valley, flat or peak power periods; Collect the total amount of daily operating parameters of the transformer for the acquisition module; is the primary side voltage in the vth group of parameters; is the secondary voltage in the vth group of parameters; is the primary current in the vth group of parameters; is the secondary current in the vth group of parameters; is the apparent power in the vth group of parameters; is the power factor in the vth group of parameters; is the oil temperature in the vth group of parameters; Among them, the weight are all greater than zero and sum to 1, and , apparent power is the transformer capacity in the daily operation parameters of the transformer, and the transformer operation status safety status value The smaller it is, the safer the transformer operation status is. Conversely, the higher the transformer operation risk is.

7. A low voltage intelligent monitoring system according to claim 6, characterized in that: The calibration factor is 1 or 1.1; During the operation phase of the analysis module, the trigger source of its own operation is synchronously identified. When the trigger source is the measurement module, the calibration factor is 1; when the trigger source is the perception module, the calibration factor is 1.

1.

8. A low voltage intelligent monitoring system according to claim 1, characterized in that: The safety determination threshold set in the determination module is customized by the system end user. The determination module is provided with submodules at the lower level, including: The adaptive unit is used to continuously receive the determination results of the determination module, and when the determination results of the determination module are continuously negative, control the low-voltage distribution transformer in the distribution line to be disconnected; The condition for the continuous determination results to be negative is that at least two groups of continuous determination results are negative.

9. A low voltage intelligent monitoring system according to claim 1, characterized in that: During the operation phase of the interactive module, the interactive module is connected to the computer device of the low-voltage substation management background through a wireless network, and the determination result of whether the transformer operating status is safe is fed back to the computer device. The system end user reads the determination result of whether the transformer operating status is safe on the computer device.

10. A low voltage intelligent monitoring system according to claim 1, characterized in that: The acquisition module is interactively connected to a control unit and a storage unit at a lower level through a wireless network, the acquisition module is interactively connected to a metering module and a perception module through a wireless network, the metering module is interactively connected to a trigger unit through a wireless network, the perception module is interactively connected to the trigger unit through a wireless network, the metering module and the perception module are interactively connected to an analysis module through a wireless network, the analysis module is interactively connected to a determination module and an interaction module through a wireless network, and the determination module is interactively connected to an adaptive unit at a lower level through a wireless network.

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