Method and structure for measuring electrical energy of a cluster of energy revealing sensors

Abstract

The present application relates to the technical field of metrology, in particular to a kind of power measurement method and structure of cluster leakage power sensor.The present application includes: setting leakage power sensor on each power supply branch circuit, respectively access the data of each leakage power sensor into public leakage power sensing module;Series standard error ware on public leakage power sensing module or any leakage power sensor;The reading of standard error ware is used to correct the reading of each leakage power sensor, and the actual leakage power value of each leakage power sensor is obtained.The present application can connect the leakage power sensor of each power supply branch into public leakage power sensing module to form cluster leakage power sensor, and the leakage power of a large number of users is uniformly managed and monitored, which improves the convenience of power leakage monitoring.

Description

Technical field

[0001] The present invention relates to the field of metering technology, and in particular to an electric energy measurement method and structure of a cluster leakage electric energy sensor. [Background Technology]

[0002] In actual circuit use, there may be power leakage, which not only causes energy waste but may also lead to safety accidents. In the prior art, leakage circuit breakers are usually used to monitor and protect against power leakage. Commonly used leakage circuit breakers are usually of two types: current type and inductive type. Both types of leakage circuit breakers can cut off the circuit for protection when the current or inductance in the circuit is abnormal. However, when there is no electric shock, the neutral line current of the existing leakage circuit breaker is equal to the live line current. The current is that the leakage circuit breaker cannot measure the power leakage. In addition, because the current has only one loop, the magnetic fields generated by the neutral line and the live line are of the same magnitude and opposite direction, canceling each other out. Therefore, it can only be used as a safety emergency device in the event of electric shock. The inductive leakage circuit breaker cannot measure the power leakage.

[0003] On the other hand, in scenarios with large numbers of users, such as multi-story and high-rise residential buildings, in addition to installing individual leakage circuit breakers for each user, grid management departments also need to monitor and measure potential power leakage across all users. In this scenario, installing individual leakage power sensors for each household often creates significant challenges in installation, management, and meter reading, making it difficult to obtain accurate leakage power data for timely warnings or repairs. Furthermore, leakage power sensors can be subject to measurement errors caused by factors such as the device itself, the environment, age, and display accuracy, leading to inaccurate leakage power measurements and potentially false alarms.

[0004] In view of this, how to overcome the defects of the existing technology and solve the problem that the existing leakage power measurement method is difficult to manage and has low accuracy is a problem to be solved in this technical field. [Summary of the invention]

[0005] In response to the above defects or improvement needs of the prior art, the present invention solves the problem that leakage electric energy is difficult to measure in a large number of user environments.

[0006] The embodiment of the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a method for measuring electric energy using a cluster of leakage electric energy sensors, specifically comprising: providing a leakage electric energy sensor on each power supply branch line, and connecting the data of each leakage electric energy sensor to a common leakage electric energy sensor module; connecting a standard error meter in series with the common leakage electric energy sensor module or any leakage electric energy sensor; and correcting the reading of each leakage electric energy sensor using the reading of the standard error meter to obtain the actual leakage electric energy value of each leakage electric energy sensor.

[0008] Preferably, the reading of each leakage electric energy sensor is corrected by the reading of the standard error meter, specifically including: respectively obtaining a first error between a common leakage electric energy measurement module in the cluster leakage electric energy sensor and each leakage electric energy sensor; obtaining a second error between the standard error meter and the leakage electric energy sensor connected in series with it; obtaining a third error of each leakage electric energy sensor based on the first error and the second error; and using the third error to compensate for the reading of each leakage electric energy sensor to obtain the actual leakage electric energy value of each leakage electric energy sensor.

[0009] Preferably, the third error of each leakage electric energy sensor is obtained based on the first error and the second error. Specifically, when the standard error detector is connected in series with the common leakage electric energy measurement module: the second error is used to compensate the first error of each leakage electric energy sensor to obtain the third error of each leakage electric energy sensor.

[0010] Preferably, any one of the leakage power sensors is calibrated, and a relative error between the calibrated leakage power sensor and the common leakage power sensing module is used as the second error.

[0011] Preferably, the third error of each leakage electric energy sensor is obtained based on the first error and the second error. Specifically: when a standard error detector is connected in series with a leakage electric energy sensor: a fourth error between the common leakage electric energy measurement module and the standard error detector is calculated based on the first error and the second error; the first error of each leakage electric energy sensor is compensated using the fourth error to obtain the third error of each leakage electric energy sensor.

[0012] Preferably, the difference between the total leakage electric energy value of a power supply line and the sum of the readings of all leakage electric energy sensors on the power supply line is obtained; when the difference is greater than a preset deviation threshold, an alarm process is performed.

[0013] On the other hand, the present invention provides a structure of a cluster leakage power sensor, specifically comprising: a common leakage power measurement module 1, a standard error detector 2 and at least one leakage power sensor 3. Specifically: according to the method provided in the first aspect, each leakage power sensor 3 is connected between the live wire and the neutral wire of the branch power supply line, and the external data interface of each leakage power sensor 3 is respectively connected to the common leakage power measurement module 1; the standard error detector 2 is connected in series with the common leakage power measurement module 1, or is set between the live wire and the neutral wire where any leakage power sensor 3 is located.

[0014] Preferably, the leakage power sensor 3 includes a leakage sensor 31 and a processing chip 32. Specifically: the leakage sensor 31 is connected between the live wire and the neutral wire of the branch power supply line, the leakage sensor 31 is connected to the processing chip 32, and the external data interface of the processing chip 32 serves as the external data interface of the leakage power sensor 3.

[0015] Preferably, the leakage sensor 31 is specifically a current-type leakage sensor or an inductance-type leakage sensor.

[0016] Preferably, the common leakage electric energy measurement module 1 and the leakage electric energy sensor 3 are connected via a network interface and / or a universal data interface.

[0017] Compared to the prior art, the advantageous effects of the embodiments of the present invention are: by connecting the leakage energy sensors of each power supply branch to a common leakage energy sensing module to form a cluster leakage energy sensor, the energy leakage of a large number of users can be uniformly managed and monitored, thereby improving the convenience of energy leakage monitoring. Furthermore, this embodiment also improves the measurement accuracy of the cluster leakage energy sensor by using a standard error calibrator to correct the energy values ​​of the leakage energy sensor, reducing omissions and false alarms caused by measurement errors. Furthermore, the present invention also provides a method for measuring leakage energy using the cluster leakage energy sensor provided by the first aspect.

Brief Description of the Drawings

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0019] Figure 1 A flow chart of a method for measuring electric energy using a cluster leakage electric energy sensor according to an embodiment of the present invention;

[0020] Figure 2A schematic structural diagram of a cluster leakage electric energy sensor used in an electric energy measurement method of a cluster leakage electric energy sensor provided in an embodiment of the present invention;

[0021] Figure 3 A flow chart of another method for measuring electric energy using a cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0022] Figure 4 A schematic structural diagram of a cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0023] Figure 5 A schematic structural diagram of a leakage electric energy sensor in a cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0024] Figure 6 A schematic structural diagram of another cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0025] Figure 7 A schematic structural diagram of another cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0026] Figure 8 A schematic structural diagram of another cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0027] Figure 9 A schematic structural diagram of a common leakage electric energy sensor in a cluster leakage electric energy sensor provided by an embodiment of the present invention;

[0028] The accompanying drawings are numerals as follows:

[0029] 1: Public leakage power measurement module, 11: Electric switch, 12: Public leakage power sensor,

[0030] 2: standard error,

[0031] 3: Leakage energy sensor, 31: Leakage sensor, 32: Processing chip. [Specific implementation method]

[0032] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0033] The present invention is an architecture of a specific functional system. Therefore, the specific embodiments mainly illustrate the functional logical relationship between the various structural modules, and do not limit the specific software and hardware implementation methods.

[0034] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other. The present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0035] To facilitate understanding of the technical solution of the present invention, the present invention first provides a detailed explanation of the terms appearing below.

[0036] The electric energy sensor referred to in this invention refers to a device used to measure the amount of electric energy flowing through a branch circuit. In this invention, it is generally considered that the raw electric energy data measured by the electric energy sensor device contains measurement errors. This is especially true in practical applications. After the electric energy sensor has been used for a period of time, measurement errors will inevitably be introduced due to factors such as the physical properties of the device and environmental influences. These measurement errors can also vary over time and in different environments.

[0037] The error reference standard device involved in the present invention (referred to as a standard error device in the embodiment of the present invention) refers to a calibrated electric energy sensor that serves as an error reference standard. Therefore, the error reference standard device described is, in a certain sense, the electric energy data reported by the error reference standard device. Regardless of whether physical experimental methods or mathematical calculation methods are used, the measurement of any quantity is a measurement relative to a reference standard; any detection of a measurement error is a detection relative to an error reference standard. The standard device or data used for the error reference standard is called an error reference standard. For example, the "standard meter" in the experiment of traditional electric energy meter error inspection is an error reference standard. When calculating errors using electric energy data, the data error of the electric energy sensor used as reference benchmark data is the error reference standard for this calculation.

[0038] Error-free data, as used herein, refers to any measurement data that, once its error has been measured and calibrated, is considered error-free data. Given the theoretical impossibility of absolutely error-free data, error-free data can be defined as data with no error or negligible error.

[0039] Example 1:

[0040] To monitor and measure power leakage for a large number of users, it is necessary to install power sensors on each user's branch power supply line. The power sensor readings are then used to obtain the leakage power values ​​for each user's line. However, reading, maintaining, and calibrating a large number of dispersed leakage power sensors presents difficulties. To facilitate efficient and accurate measurement and management of power sensors for a large number of different users, this embodiment provides a clustered leakage power sensor.

[0041] like Figure 1As shown, the specific steps of the leakage energy measurement method provided by the embodiment of the present invention are as follows:

[0042] Step 101: a leakage power sensor is provided on each power supply branch line, and data from each leakage power sensor is connected to a public leakage power sensor module.

[0043] In order to unify the power leakage of a large number of users, this embodiment provides a leakage power measurement method that can obtain accurate leakage power values ​​through cluster leakage power sensors. Leakage power sensors are set on the power supply branch lines corresponding to each user to monitor the power leakage of each power supply branch line. Then all leakage power sensors are connected to a common leakage power sensor module, and unified management is carried out through the common leakage power sensor module. The common leakage power sensor module is used to realize data interaction between each leakage power sensor. In a specific implementation, the specific setting method of the leakage power sensor can be as follows: Figure 2 As shown, or use the structure provided in Example 2. Figure 2 Here, VCM is the leakage sensor 31, PM is the processing chip 32, and BPM is the backup error monitor.

[0044] Step 102: Connect a standard error detector in series to the common leakage power sensor module or any leakage power sensor.

[0045] To improve the accuracy of leakage energy measurement, a standard error calibrator is required to calibrate the leakage energy sensor readings during measurement. In this embodiment, since each leakage energy sensor is connected to a common leakage energy sensing module, a single standard error calibrator can be used regardless of the number of leakage energy sensors in the cluster, achieving error compensation through data transmission from the common leakage energy sensing module. Specifically, the standard error calibrator can be connected in series with any leakage energy sensor in the cluster, either in the same branch circuit or in the circuit currently being measured by the common leakage energy measurement module.

[0046] Step 103: Correct the reading of each leakage power sensor using the reading of a standard error analyzer to obtain the actual leakage power value of each leakage power sensor.

[0047] After completing the connection between steps 101 and 102, the measurement error between the leakage energy sensor or the common leakage energy measurement module connected to the standard error analyzer and the error standard can be obtained. Furthermore, the relative error between each leakage energy sensor in the cluster and the common leakage energy measurement module is used to calculate the leakage energy measurement error of each leakage energy sensor in the cluster. The detected error is used to compensate for the corresponding leakage energy data, resulting in high-precision leakage energy data.

[0048] After steps 101 to 103 provided in this embodiment, the leakage power of each user's circuit can be measured conveniently and accurately through the public power measurement module, and only one standard error meter whose access location can be flexibly selected according to needs is used to complete the error calibration of the leakage power reading.

[0049] like Figure 3 As shown, in step 103, the reading of each leakage power sensor is corrected by the reading of the standard error detector, which can be completed through the following specific steps.

[0050] Step 201: respectively obtain a first error between a common leakage power measurement module and each leakage power sensor in a cluster of leakage power sensors.

[0051] In this embodiment, the first error represents the relative error between the common leakage power sensor module and any power sensor 3 , and the first errors between the common power measurement module 1 and different power sensors 3 may be different.

[0052] Specifically, Formula 1 may be used to calculate the first error between the common leakage power measurement module and each leakage power sensor.

[0053]

[0054] Collect the leakage energy data w of the i-th leakage energy sensor i The public leakage energy measurement module is used to collect the energy data w that is collinear with the i-th leakage energy sensor. 0i , and obtain the relative measurement error x between the common leakage energy measurement module and the i-th leakage energy sensor i .

[0055] Step 202: Obtain a second error between the standard error detector and the leakage power sensor connected in series with the standard error detector.

[0056] In this embodiment, the second error represents the relative error between the standard error analyzer and the leakage power sensor or common leakage power measurement module directly connected to it. In step 102, two different connection methods are provided: connecting the standard error analyzer to the common leakage power measurement module and connecting it to any leakage power sensor. The second error is calculated differently for each connection method.

[0057] (1) When the standard error meter is connected in series to the power supply line where the i-th leakage power sensor is located, the relative error between the standard error meter and the i-th leakage power sensor. Specifically, the second error in this scenario can be calculated using Formula 2.

[0058]

[0059] Among them, x o is the second error, w o is the leakage energy data of the standard error meter, w i is the leakage energy data of the i-th energy sensor. Since the i-th leakage energy sensor and the standard error monitor are connected in series on the same power supply line, theoretically, the leakage energy of the circuit containing the i-th leakage energy sensor and the circuit containing the standard error monitor are consistent. Therefore, if the leakage energy sensor has no error, the second error value is 0.

[0060] (2) When the standard error detector is connected in series to the power supply line where the common leakage power sensor is currently located, the second error represents the relative error between the standard error detector and the common leakage power sensor. Specifically, the second error in this scenario can be calculated using Formula 3.

[0061]

[0062] Among them, x o is the second error, w o is the leakage energy data of the standard error meter, w 0i is the leakage energy data for the common leakage energy measurement module and the i-th leakage energy sensor. Similarly, since the standard error meter is connected in series on the same power supply line as the common leakage energy measurement module, the energy readings of the common leakage energy measurement module and the standard error meter are theoretically consistent. Therefore, if the common leakage energy measurement module has no errors, the second error value is 0.

[0063] Furthermore, any leakage power sensor can be calibrated, and the relative error between the calibrated leakage power sensor and the common leakage power sensor module can be used as the second error. The relative error between the calibrated power sensor and the standard error analyzer is 0. In this scenario, it can be considered a special case of directly connecting the standard error analyzer to the common leakage power sensor, using the relative error between the calibrated leakage power sensor and the common leakage power sensor as the second error.

[0064] Step 203: Obtain a third error of each leakage power sensor according to the first error and the second error.

[0065] After obtaining the second error between the leakage power sensor connected in series with the standard error calibrator or the common leakage power measurement module and the standard error calibrator, the relative error between each leakage power sensor and the standard error calibrator can be obtained as the third error through data transmission of the common leakage power measurement module. The third error of each leakage power sensor can be regarded as the actual relative error between the leakage power sensor and the error-free data.

[0066] The third error is calculated differently for different connection methods of the standard error analyzer.

[0067] (1) When the standard error detector is connected in series with the common leakage power measurement module 1: the first error of each leakage power sensor is compensated by using the second error to obtain the third error of each leakage power sensor.

[0068] (2) When a standard error generator is connected in series with a leakage power sensor: First, a fourth error between the common leakage power measurement module and the standard error generator is calculated based on the first error and the second error. The fourth error represents the relative error between the common leakage power measurement module and the standard error generator after error compensation. The fourth error is then used to compensate the first error of each leakage power sensor to obtain a third error for each leakage power sensor.

[0069] Step 204: using the third error to compensate for the reading of each leakage power sensor, and obtaining the actual leakage power value of each leakage power sensor.

[0070] After the third error is obtained, the actual electric energy value of each leakage electric energy sensor is compensated using the third error, so that a high-precision actual leakage electric energy value of each leakage electric energy sensor can be obtained.

[0071] Through steps 101-104, the relative errors between the common leakage energy measurement module, the standard error calibrator, and the leakage energy sensor are used to calibrate the leakage energy value of each leakage energy sensor. This single standard error calibrator can be used to obtain accurate leakage energy values ​​for all leakage energy sensors in the cluster, eliminating the need for individual calibration of each leakage energy sensor. Using the energy measurement method provided in this embodiment, neither the common leakage energy measurement module nor the leakage energy sensor requires an error-free device; only the error-free standard error calibrator is required. This reduces maintenance requirements for the cluster's leakage energy sensors and ensures the accuracy of the measurement data.

[0072] In a specific implementation, the relevant error value can be calculated each time a leakage energy value is obtained. This approach is computationally intensive and requires high communication and computing performance, but the calculated error value is more accurate over time. Alternatively, the relevant error value can be saved and used when compensating the leakage energy data. The error data can then be obtained again after a certain interval. This approach requires less computation and communication, but it cannot accurately and in real time correspond to the changes in the leakage energy sensor error value over time.

[0073] To further improve the accuracy of the measurement data, other data processing methods can be added in steps 201-204 to reduce measurement errors and calculation errors. The following briefly lists some data processing methods, which can be used alone or in combination. Other error reduction methods can also be used according to actual needs.

[0074] (1) Since there is a measurement error in single data collection, the leakage power data w of the i-th leakage power sensor can be collected multiple times. i , and simultaneously collect multiple times the leakage power data w collected by the public leakage power measurement module on the same line as the i-th leakage power sensor 0i , by taking the average value of multiple measurements, the measurement error is reduced and the calculation accuracy of the first error is improved.

[0075] (2) Since the error of the leakage power sensor may vary over time or in response to environmental changes, data may be acquired multiple times according to a preset time period, and the first error and the second error may be calculated. This multiple acquisition and calculation process improves the accuracy of the calculation. Furthermore, since the error of the leakage power sensor may vary over time, error data closer to the current time is more accurate. Therefore, data closer to the current time has a higher weight in the calculation.

[0076] (3) Different measurement intervals of the existing leakage electric energy sensor may have different error values. Therefore, the error can be calculated in different current intervals in sections to match the actual error values ​​of different measurement intervals.

[0077] (4) Using Example 2 Figure 7 or Figure 8 The provided technical solution combines multiple clustered electric energy sensor architectures into a mesh structure, and performs repeated error calculations on the same electric energy sensor 3 through multiple common electric energy measurement modules 1, thereby improving the accuracy of error calculations.

[0078] Through the above-mentioned methods, the accuracy of error calculation during leakage electric energy measurement in this embodiment can be improved, thereby improving the accuracy of leakage electric energy measurement.

[0079] Furthermore, to prevent power supply or leakage energy measurement failures, in addition to the leakage energy sensor's built-in fault alarm system, the public leakage energy measurement module can also aggregate energy values ​​and error values ​​to monitor the sensor's operating status and generate alarms when an abnormality occurs. The following briefly lists some common abnormality alarm scenarios. Other abnormalities also require analysis and alarm generation based on actual conditions.

[0080] (1) According to the theoretical error value upper limit of the leakage electric energy sensor, a maximum third error threshold is set. When the calculated third error exceeds the third error threshold, it indicates that the leakage electric energy sensor may be faulty and an alarm needs to be issued.

[0081] (2) Record the historical first, second, and fourth errors. If the first and fourth errors fluctuate significantly, but the second error fluctuates slightly, this indicates that the common leakage energy measurement module may be faulty and an alarm should be issued. If the first error fluctuates slightly, but the second and fourth errors fluctuate significantly, this indicates that the standard error analyzer may be faulty and an alarm should be issued.

[0082] (3) Obtain the difference between the total leakage energy value of a power supply line and the sum of the readings of all leakage energy sensors on the power supply line; when the difference is greater than a preset deviation threshold, an alarm is issued. The total leakage energy on the same power supply line and the sum of the leakage energy on all branches of the line should theoretically be equal. Therefore, when the difference is greater than the preset deviation threshold, it indicates that there may be a fault such as cross-wiring in the circuit where the group of leakage energy sensors is located, and an alarm needs to be issued.

[0083] Through the above methods, it is possible to monitor and alarm each device and related lines in the cluster leakage power sensor, so as to improve the operation stability of the cluster leakage power sensor and the power supply line where it is located.

[0084] Furthermore, in actual use, if the computing performance of the public leakage power measurement module is sufficient, deep learning can be used to establish a prediction model for each error and power value, and the prediction model can be used to issue an alarm for abnormal power leakage conditions and predict faults.

[0085] The leakage power measurement method provided in this embodiment can conveniently realize high-precision leakage power data collection and management of a large number of users, without the need to perform leakage power monitoring, data collection and error checking on the branch power supply lines where each user is located, thereby improving the power management efficiency of the power supply network and saving manpower, material resources, time and costs.

[0086] Example 2:

[0087] To measure the power leakage in each user's branch circuit, a leakage power sensor must be installed on each user's branch power supply line. The leakage power sensor readings are used to obtain the leakage power value for each branch circuit. However, reading, maintaining, and calibrating a large number of dispersed leakage power sensors presents difficulties. To facilitate efficient and accurate measurement and management of leakage power sensors for a large number of different users, this embodiment provides a clustered leakage power sensor.

[0088] like Figure 4 As shown, the cluster leakage power sensor provided by this embodiment includes a common leakage power measurement module 1 , a standard error detector 2 and at least one leakage power sensor 3 .

[0089] In order to measure the leakage power of each branch power supply line, it is first necessary to connect each leakage power sensor 3 between the live wire and the neutral wire of the branch power supply line according to steps 101 and 102 of Example 1, and the external data interface of each leakage power sensor 3 is connected to the common leakage power measurement module 1 respectively.

[0090] In this embodiment, the correspondence between leakage energy sensor 3 and user can be determined based on actual usage requirements to provide higher measurement accuracy. The following briefly provides some possible connection methods. It is important to note that during connection, the leakage energy sensor 3 or group of leakage energy sensors 3 used by each user must be able to independently measure the leakage energy data of a branch power line and independently connect to the common leakage energy measurement module 1. By switching the ports of the common leakage energy measurement module 1, at each point in time, only one leakage energy sensor 3 or group of leakage energy sensors 3 connected to a single port is connected to the common leakage energy measurement module 1, allowing the common leakage energy measurement module 1 and the leakage energy sensors 3 to measure the leakage energy value of the same branch power line. Since the amount of leakage at all locations on the same branch power line is the same, i.e., the leakage energy value is the same, theoretically, if the readings of the common leakage energy measurement module 1 and the energy leakage sensors 3 are error-free, the readings of both should be the same.

[0091] (1) Each power sensor 3 corresponds to a specific user, for example, each household in each building under a substation; or each household in a village under a substation; or each shop under a substation; or each factory under a substation.

[0092] (2) Multiple power sensors 3 correspond to one specific user. For example, for factories, performance venues, etc. with large power consumption or large power fluctuations, multiple power sensors 3 can be set up on the same branch circuit. When taking readings, different power sensors 3 can be used in turn to increase the overall service life of the cluster power sensors; or one power sensor 3 can be used as the working power sensor and the other power sensors 3 as backup power sensors to avoid invalid readings caused by power sensor failure; or readings from multiple power sensors 3 can be obtained simultaneously and statistically processed to improve reading accuracy.

[0093] The specific connection methods between the above-mentioned electric energy sensor 3 and the power supply line can be used for electric energy measurement and error calibration in the embodiments of the present invention. Other available connection methods can also be used according to actual implementation scenarios without violating the technical principles of the present invention.

[0094] Furthermore, to accommodate the varying distributions of leakage energy sensors 3 in different scenarios, as well as the varying physical distances between each leakage energy sensor 3 and the public leakage energy measurement module 1, the public leakage energy measurement module 1 and the leakage energy sensors 3 can be directly connected via a dedicated physical line, or indirectly connected via a public data network, an internal private network, or the Internet. The data acquisition and data calculation components of the public leakage energy measurement module 1 can be integrated into the same device or independently configured. For example, the data acquisition component can be located within a substation to facilitate connection with each leakage energy sensor 3 within the substation. Simultaneously, the data calculation component can be located in a computing control center, utilizing high-performance computing equipment for unified data calculation and processing. This approach reduces the performance requirements and size of the data acquisition component while also facilitating the management of energy usage within one or more clusters.

[0095] On the other hand, the leakage power sensor 3 provided in this embodiment can be an AC leakage power sensor or a DC leakage power sensor. Therefore, the cluster power sensor provided in this embodiment is applicable to both DC power systems and AC power systems (for example, 50HZ~60Hz AC power systems). Among them, the AC system includes a single-phase AC power system and a three-phase AC power system. Furthermore, since each leakage power sensor 3 and the common leakage power measurement module 1 in this embodiment are independently connected, AC leakage power sensors and DC leakage power sensors can also be used in combination, and the cluster leakage power sensor provided in this embodiment can be used in an AC / DC hybrid power system.

[0096] After each leakage energy sensor 3 is connected to the common leakage energy measurement module 1, all leakage energy sensors 3 are combined into a cluster energy sensor. The interfaces of the common leakage energy measurement module 1 are switched according to a set time sequence, and the data of one leakage energy sensor 3 is connected to the common leakage energy measurement module 1. The common leakage energy measurement module 1 and the corresponding energy sensor of each line form the relationship between the primary and secondary energy sensors of the line according to a certain time sequence. At each moment, the cluster leakage energy sensor can be regarded as a combination of the common leakage energy measurement module 1 and any leakage energy sensor 3, and each combination can be regarded as operating independently. Simultaneously, all leakage energy sensors 3 are connected to the common leakage energy measurement module 1, which can obtain measurement data and alarm data from all leakage energy sensors 3, thus achieving unified management of all leakage energy sensors 3.

[0097] Furthermore, in order to calibrate the raw data, it is necessary to first set a standard error detector, and then calibrate the raw measurement data based on the standard error detector to eliminate errors and obtain more accurate power data. Therefore, the cluster leakage power sensor provided in this embodiment also includes a standard error detector 2. The standard error detector 2 is connected in series with the common leakage power measurement module 1 or with any leakage power sensor 3. The standard error detector 2 is connected in series with the common leakage power measurement module 1 or is set between the live wire and the neutral wire where any leakage power sensor 3 is located. The leakage power sensor 3 is used to obtain leakage power data of the branch power supply line in which it is located. The common leakage power measurement module 1 is used to uniformly manage all leakage power sensors 3. The standard error detector 2 is used to calibrate errors of the common leakage power measurement module 1 and all leakage power sensors 3.

[0098] In the cluster electric energy sensor provided in this embodiment, each leakage electric energy sensor 3 is connected to a common leakage measurement module 1. The common leakage electric energy measurement module 1 can obtain the reading of the standard error meter 2 through the leakage electric energy sensor 3 connected to the standard error meter 2. Each leakage electric energy sensor 3 can obtain the readings of other leakage electric energy sensors 3 or standard error meters 2 through the common leakage electric energy measurement module 1. Therefore, when performing error compensation, only one standard error meter 2 is required in the entire cluster of leakage electric energy sensors to perform error calibration on all leakage electric energy sensors 3 and obtain accurate leakage electric energy measurement data for all leakage electric energy sensors 3, avoiding the inconvenience caused by performing error calibration on each leakage electric energy sensor 3 separately. Furthermore, in actual use, multiple standard error meters 2 connected at different locations can also be used to perform further error calibration through multiple standard error meters 2 to improve reading accuracy.

[0099] Furthermore, because the leakage cluster power sensor provided in this embodiment uses the relative error between the common leakage power measurement module 1 and the standard error analyzer 2 to calibrate the readings of the leakage power sensor 3, only one error reference standard device is required within the cluster, which can serve as a reference for the common leakage power measurement module 1. Therefore, when a calibrated leakage power sensor 3 exists in the cluster, it can be used as the standard error analyzer 2, and the relative error between the leakage power sensor 3 and the standard error analyzer 2 is zero. In this case, since the calibrated leakage power sensor 3 is directly connected to the common power measurement module 1, it is equivalent to the standard error analyzer 2 being directly connected to the common power measurement module 1.

[0100] In specific implementation scenarios, the error sensor 2 can be connected to the cluster power sensor in various ways. The following briefly provides some possible connection methods for the error sensor 2. It is important to note that when connecting the error sensor 2, it is necessary to ensure that the power reading corresponds to the power reading of one port of the common leakage power measurement module 1.

[0101] (1) The common leakage power measurement module 1 and the leakage power sensor 3 retain a calibration interface for connecting to the standard error meter 2, such as a socket, a circuit breaker terminal block, an interlocking contactor, or various automatic switching devices, etc., for inserting an error reference standard device with a known power error into the designated user power circuit of the leakage power sensor 3, namely, the standard error meter 2 in this embodiment.

[0102] (2) A dedicated interface is provided on the leakage energy sensor 3, allowing adjacent user lines other than the leakage energy sensor 3 to "borrow" a leakage energy sensor with known error from the designated user's power circuit of the leakage energy sensor 3 as their error reference standard device. The dedicated interface includes but is not limited to a socket, a circuit breaker terminal block, an interlocking contactor, or various automatic switching devices, etc.

[0103] (3) A dedicated interface is provided on the leakage energy sensor 3, allowing the designated user line of the meter box to "borrow" other leakage energy sensors 3 or leakage energy sensors of adjacent electricity users with known errors, as error reference standards for calibration calculations of the leakage energy sensor 3. The dedicated interface includes but is not limited to sockets, circuit breaker terminal blocks, interlocking contactors, or various automatic switching devices, etc.

[0104] (4) Leakage energy sensor 3 is connected in series with an external energy sensor to perform error correction on the connected leakage energy sensor. In other words, the integrated energy sensor provided in this embodiment can not only calibrate the readings of the existing leakage energy sensor 3 in the cluster, but also provide calibration data for other leakage energy sensors connected in series with it.

[0105] According to actual needs, the standard error meter 2 can always remain connected to the cluster leakage power sensor so that the leakage power data can be calibrated at any time; the standard error meter 2 can be connected to the cluster leakage power sensor only when performing data calibration to avoid errors in the standard error meter 2 after long-term use, which may lead to data calibration deviation.

[0106] The above methods can all complete the connection of the standard error analyzer 2 , so as to complete the calibration of the readings of the common leakage power measurement module 1 and all the leakage power sensors 3 in the cluster through one standard error analyzer 2 .

[0107] The cluster leakage power sensor provided in this embodiment, through the unified management of a common power measurement module 1, facilitates the unified collection of leakage power data and alarm information from all leakage power sensors 3, eliminating the need to collect data and monitor alarms for each leakage power sensor 3 individually. Furthermore, through error propagation through the common leakage power measurement module 1, calibration of the readings of all leakage power sensors 3 can be completed using only a single standard error detector 2. Therefore, the cluster leakage power sensor provided in this embodiment can conveniently obtain accurate leakage power measurement data for each user's branch power supply line, even when there are a large number of users.

[0108] In order to modularize data acquisition and data processing, and avoid the influence of excessive current and film on the power supply line on the computing devices, such as Figure 5 As shown, the electric energy sensor 3 may include a leakage electric energy sensor 31 and a processing chip 32. The leakage sensor 31 is connected between the live and neutral wires of the branch power supply line and is used to collect raw leakage electric energy data on the power supply line. The data line of the leakage sensor 31 is connected to the processing chip 32, and the collected data is transmitted to the processing chip 33 for processing and calculation. The external data interface of the processing chip 32 serves as the external data interface of the leakage electric energy sensor 3. The leakage electric energy sensor 3 is connected to the public leakage electric energy measurement module 1 through the external data interface, transmits the measured leakage electric energy data or the data of the standard error detector 2 connected to it to the public leakage measurement module 1, and receives the error calibration data sent by the public leakage measurement module 1. In a specific embodiment, the leakage sensor 31 is specifically: a current-type leakage sensor or an inductance-type leakage sensor.

[0109] In actual use, the public leakage power measurement module 1 and the leakage power sensor 3 can be connected via a network interface or a universal data interface. The external data interface of the leakage power sensor 3 is determined based on factors such as the physical distance between the leakage power sensor 3 and the public leakage power measurement module 1, the difficulty of wiring, and environmental interference. It can use an industrial-grade universal data interface such as RS232, a wired network interface such as an RJ45 interface or an optical module, or a wireless network interface such as a Bluetooth module or a Wi-Fi module. Furthermore, to reduce local computing tasks and reduce the cost and size of each public leakage power measurement module 1 and leakage power sensor 3, the public leakage power measurement module 1 and leakage power sensor 3 only perform data collection and transmission and reception tasks, and are respectively connected to the remote server via the network interface, where computing tasks such as error calculation and alarm are completed.

[0110] Preferably, in order to improve the versatility of the interface, the wireless network interface can use the micro-power wireless communication module provided by the State Grid Enterprise Standard "Electric Power User Electricity Consumption Information Collection System Communication Protocol: Data Transmission Protocol Based on Micro-power Wireless Communication" to support the interconnection and interoperability of the electricity consumption information collection system within the State Grid. The micro-power wireless communication module is powered by a built-in battery, and the battery capacity design should meet the normal operation of the module for at least 5 years. The micro-power acquisition module can automatically wake up and collect data in the meter according to a set period (for example, 1 hour, 4 hours or 8 hours), and upload the received data to the public power measurement module 1 through the carrier / micro-power dual-mode communication module. Furthermore, in order to avoid data loss or untimely equipment alarms caused by communication module failures, once the micro-power wireless module fails, specific fault information needs to be actively reported. Fault problems include but are not limited to: module hardware failure, meter measurement failure, communication failure, abnormal problem alarm, etc.

[0111] Since different functional components in the leakage power sensor 3 will generate data of different properties, in actual use, different components inside the leakage power sensor 3 can be selected to be connected to the common measurement module 1 as needed.

[0112] (1) The data output interface of leakage sensor 31 is directly connected to common leakage energy measurement module 1, which calculates the leakage energy value based on the raw current value or inductance value. This method performs energy calculations at both the leakage energy sensor 3 and the common leakage energy measurement module 1, more accurately obtaining the relative error between the leakage energy sensor 3 and the common leakage energy measurement module 1, and avoiding errors when the processing chip 32 obtains the raw data.

[0113] (2) In a normal usage environment, the error of the leakage sensor 31 can be considered constant. Therefore, the data output interface of the processing chip 32 can also be connected to the common leakage power measurement module 1. The common leakage measurement module 1 directly uses the processing chip 32 to obtain current data or inductance data, which makes data processing and connection switching simpler.

[0114] Through the above different methods, the connection and data transmission requirements between the leakage power sensor 3 and the common leakage power measurement module 1 under different requirements can be met.

[0115] Furthermore, in this embodiment, a common leakage power measurement module 1 is used to manage all leakage power sensors 3. The reading of each leakage power sensor 3 can be obtained through the data sent by the leakage power sensor 3 to the common leakage power measurement module 1. Therefore, the leakage power sensor 3 can retain the data display function to facilitate temporary data viewing and function settings. Alternatively, the data display function can be omitted, and the reading of each leakage power sensor 3 can be obtained directly through the common leakage power measurement module 1. Using leakage power sensors 3 without the data display function can reduce the size, product cost, and installation cost of the leakage power sensors 3.

[0116] In order to connect with each leakage power sensor 3 and facilitate switching between different leakage power sensors 3, as shown in FIG. Figure 6 As shown, the public leakage power measurement module 1 includes an electrical switch 11 and a public leakage power sensor 12. The electrical switch 11 is a one-to-many switch. The single-port side of the electrical switch 11 is connected to the public leakage power sensor 12, while each port on the multi-port side of the electrical switch 11 is connected to a leakage power sensor 3. In actual use, the connection between the public leakage power measurement module 1 and the leakage power sensors 3 can be established using various connection methods as described above, depending on actual needs. The I / O port of the public leakage power sensor 12 is connected to the single-port side of the electrical switch 11, so that each leakage power sensor 3 is connected to the public leakage power sensor 12. Each leakage power sensor 3 is coupled to the user power supply line it is responsible for monitoring and feeds back the corresponding line status to the public leakage power measurement module 1 via a port on the multi-port side of the electrical switch 11. Through time-sharing switching of the ports of the electrical switch 11, the public leakage power measurement module 1 establishes a one-to-one correspondence with each leakage power sensor 3, independently reading data and performing error correction for each leakage power sensor 3.

[0117] In a specific implementation, it is necessary to switch the ports of the electrical switch 11 so that the common leakage power measurement module 1 is independently connected to each leakage power sensor 3 in a time-sharing manner to obtain leakage power data from each leakage power sensor 3. Since the leakage power sensor 3 includes a leakage sensor 31 and a processing chip 32, when switching the ports of the electrical switch 11, the connection relationship between the electrical switch 11 and the leakage sensor 31 can be switched as needed, allowing the common leakage power measurement module 1 to calculate the power value of the leakage power sensor 3 based on the current value or inductance value, thereby calculating the first error. Alternatively, only the connection relationship between the ports of the electrical switch 11 and the processing chip 32 in the leakage power sensor 3 can be switched to directly obtain the power value of the leakage power sensor 3 and calculate the first error directly based on the power value of the leakage power sensor 3.

[0118] Furthermore, in the cluster leakage electric energy sensor of this embodiment, since an electrical switch 11 is used to switch the connection relationship between the common leakage electric energy measurement module 1 and the leakage electric energy sensor 3, each leakage electric energy sensor 3 can be considered independent of each other, and when performing error compensation, only the relative error between each leakage electric energy sensor 3 and the common leakage electric energy measurement module 1 needs to be considered. Therefore, different leakage electric energy sensors 3 can form an electric energy conservation system as needed, or they can be designed and used independently of the electric energy conservation system. Similarly, the cluster leakage electric energy sensor provided in this embodiment can be applied to any voltage system or deployed in a power supply network of any architecture. The cluster leakage electric energy sensor structure of this embodiment improves the flexibility of system use and expands the applicable scenarios.

[0119] Furthermore, in order to match the multi-branch mesh structure of the power supply line, or the distribution characteristics of users in different areas. Figure 7 As shown, multiple leakage cluster power sensor architectures can also be combined into a multi-layer tree structure as needed. The leaf nodes of the tree structure are leakage power sensors 3. The common leakage measurement modules 1 of multiple clusters are connected to the common leakage measurement module of the parent node on the upper layer through an electrical interface or a network interface, and are aggregated step by step upward to the root node. The root node can include the power measurement function or only be a remote server. Furthermore, as Figure 8 As shown, data can be exchanged between the public leakage power measurement modules 1. The leakage power sensors 3 managed by each public leakage power measurement module 1 can overlap and intersect, forming a network structure. This approach is equivalent to grouping the leakage power sensors 3, with each public leakage power measurement module 1 processing and calculating data from some of the leakage power sensors 3. For example, within a substation, each household is equipped with a leakage power sensor 3, and each building is equipped with a public leakage power measurement module 1. The public leakage power measurement modules of all buildings in a residential complex are then aggregated into a higher-level public leakage power measurement module. In this manner, the number of leakage power sensors 3 managed by each public leakage power measurement module 1 can be reasonably set according to actual conditions, thereby avoiding a long switching cycle caused by the same public leakage power measurement module 1 managing too many leakage power sensors 3, or unavailable data or error calibration errors of all leakage power sensors 3 in the cluster due to a failure of the public leakage power measurement module 1. The amount of calculation of each public leakage power measurement module 1 can also be reduced, thereby improving data calculation efficiency. The value of the standard error detector 2 can also be transmitted through multiple public leakage power measurement modules 1 to perform cross-region error detection.

[0120] In order to analyze and calculate the electric energy data and error data, such as Figure 9As shown, the public leakage power sensor 12 includes one or more processors 12-1 and a memory 12-2. Figure 9 In the example, a processor 12-1 is used. The processor 12-1 and the memory 12-2 may be connected via a bus or other means. Figure 9 In this example, a bus connection is used. Memory 12-2, as a non-volatile computer-readable storage medium for the energy measurement method for clustered electric energy sensors, can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as the energy measurement method for clustered leakage electric energy sensors in Example 1. Processor 12-1 executes the non-volatile software programs, instructions, and modules stored in memory 12-2 to perform various functional applications such as error compensation and energy value calculation, as well as data processing, thereby implementing the energy measurement method for clustered leakage electric energy sensors in Example 1. Memory 12-2 can include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 12-2 can optionally include memory remotely located from processor 12-1, which can be connected to processor 12-1 via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. The program instructions / modules are stored in the memory 12-2. When executed by one or more processors 12-1, the method for measuring leakage energy in the above embodiment 1 is executed. For example, Figure 1 or Figure 3 Those skilled in the art will appreciate that all or part of the steps in the various methods of the embodiments may be completed by a program instructing related hardware, and the program may be stored in a computer-readable storage medium, which may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0121] The cluster leakage energy sensor structure provided in this embodiment utilizes multiple leakage energy sensors to form a cluster leakage energy sensor. The signals from each leakage energy sensor on the line where the leakage energy sensor resides are connected to a common leakage energy measurement module for that line. Furthermore, a standard error generator is used to compensate for the error in the measurement data of each leakage energy sensor. The cluster leakage energy sensor does not necessarily form a system that maintains an energy conservation system. Instead, each leakage energy sensor is independently connected to the common leakage energy measurement module, and calculations are performed based on the relative error between each leakage energy sensor and the common leakage energy measurement module. This improves the management convenience of leakage energy sensors for a large number of users and enables quick and convenient acquisition of accurate energy data from each leakage energy sensor.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for measuring electric energy using a cluster leakage electric energy sensor, characterized in that: Specifically: A leakage power sensor is installed on each power supply branch line, and the data of each leakage power sensor is connected to the public leakage power sensor module; Connect a standard error detector in series with the common leakage power sensing module or any leakage power sensor; Correcting the reading of each leakage electric energy sensor by the reading of the standard error meter to obtain the actual leakage electric energy value of each leakage electric energy sensor; Correcting the reading of each leakage electric energy sensor by using the reading of the standard error device specifically includes: respectively obtaining a first error between a common leakage electric energy measurement module and each leakage electric energy sensor in the cluster; Obtaining a second error between the standard error detector and the leakage electric energy sensor connected in series with the standard error detector; Obtaining a third error of each leakage power sensor according to the first error and the second error; The third error is used to compensate the reading of each leakage power sensor to obtain the actual leakage power value of each leakage power sensor.

2. The electric energy measurement method of the cluster leakage electric energy sensor according to claim 1, characterized in that: The third error of each leakage power sensor is obtained based on the first error and the second error. Specifically, when the standard error analyzer is connected in series with the common leakage power measurement module, the first error of each leakage power sensor is compensated by using the second error to obtain the third error of each leakage power sensor.

3. The electric energy measurement method of the cluster leakage electric energy sensor according to claim 2, characterized in that: Any leakage power sensor is calibrated, and a relative error between the calibrated leakage power sensor and the common leakage power sensing module is used as a second error.

4. The electric energy measurement method of the cluster leakage electric energy sensor according to claim 2, characterized in that: The third error of each leakage electric energy sensor is obtained according to the first error and the second error. Specifically, when the standard error analyzer is connected in series with a leakage electric energy sensor: Calculating a fourth error between the common leakage electric energy measurement module and the standard error detector according to the first error and the second error; The fourth error is used to compensate the first error of each leakage power sensor to obtain a third error of each leakage power sensor.

5. The electric energy measurement method of the cluster leakage electric energy sensor according to claim 1, characterized in that: Also includes: Obtaining the difference between the total leakage electric energy value of a power supply line and the sum of the readings of all leakage electric energy sensors on the power supply line; When the difference is greater than the preset deviation threshold, an alarm is triggered.

6. A structure of a cluster leakage electric energy sensor, characterized in that: The system comprises a common leakage electric energy measurement module (1), a standard error detector (2) and at least one leakage electric energy sensor (3), specifically: According to any one of claims 1 to 5, each leakage power sensor (3) is connected between the live wire and the neutral wire of the branch power supply line, and the external data interface of each leakage power sensor (3) is respectively connected to the common leakage power measurement module (1); The standard error meter (2) is connected in series with the common leakage electric energy measurement module (1), or is arranged between the live wire and the neutral wire where any leakage electric energy sensor (3) is located.

7. The structure of the cluster leakage electric energy sensor according to claim 6, characterized in that: The leakage electric energy sensor (3) comprises a leakage sensor (31) and a processing chip (32), specifically: The leakage sensor (31) is connected between the live wire and the neutral wire of the branch power supply line. The leakage sensor (31) is connected to the processing chip (32), and the external data interface of the processing chip (32) serves as the external data interface of the leakage power sensor (3).

8. The structure of the cluster leakage electric energy sensor according to claim 7, characterized in that: The leakage sensor (31) is specifically a current-type leakage sensor or an inductance-type leakage sensor.

9. The structure of the cluster leakage electric energy sensor according to claim 6, characterized in that: The common leakage electric energy measurement module (1) and the leakage electric energy sensor (3) are connected via a network interface and / or a universal data interface.

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