Energy measuring meter and energy measuring method
Through the modularly designed energy measurement table, the inconvenient management of energy consumption information of different types of load equipment is solved, and unified recording and low-cost data management are realized.
Patent Information
- Application Number
- CN202410445802.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-03-01
- Filing Date
- 2024-04-15
- Publication Date
- 2025-09-02
AI Technical Summary
The prior art is difficult to uniformly manage and record the energy consumption information of different types of load equipment, resulting in high setup costs and inconvenient management.
A modular energy measurement table is adopted, including processing devices and multiple measurement devices, and different types of sensing signals are received and converted through modular design, and the processing device is used to uniformly manage and record sensing data, and data classification and screening are performed through device code and channel code.
It realizes unified management and recording of energy consumption data of different types of load equipment, reduces setup costs, and improves management convenience and data uniformity.
Smart Images
Figure CN120579697A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to energy measurement technology, and more particularly to an energy measurement meter and an energy measurement method. Background Art
[0002] With the growing severity of global warming and the accelerated depletion of energy, "energy conservation and carbon reduction" has become a highly anticipated topic in recent years. From governments to businesses, everyone is committed to developing green energy to create a sustainable, low-carbon society and economy.
[0003] To achieve energy conservation and carbon reduction, we must first clearly understand the historical records of energy consumption to determine how to improve it. Therefore, designing an energy meter that can be applied to various energy-consuming devices and environments has become a major issue. Summary of the Invention
[0004] The present disclosure relates to an energy meter, comprising a first measuring device and a processing device. The first measuring device comprises a plurality of measuring circuits. The plurality of measuring circuits are used to couple to a plurality of sensors through a plurality of input ports to receive a plurality of first sensing signals, and to convert the plurality of first sensing signals into a plurality of first sensing data. The processing device is communicatively connected to the first measuring device to receive the plurality of first sensing data from the first measuring device. The first measuring device is further used to: set a first device code corresponding to the first measuring device, and set a plurality of channel codes corresponding to the plurality of measuring circuits; provide the first device code and the plurality of channel codes to the processing device when establishing a communication connection with the processing device; and provide the plurality of first sensing data to the processing device so that the processing device records at least a portion of the plurality of first sensing data as a plurality of first energy data, wherein each of the plurality of first energy data corresponds to the first device code and a corresponding one of the plurality of channel codes.
[0005] In one embodiment, the processing device is configured to: when the processing device is in communication with the first measurement device, set first filtering data, wherein the first filtering data includes multiple signal types and corresponding multiple storage conditions, and the energy measurement meter records at least a portion of the multiple first sensing data as the multiple first energy data based on the first filtering data; and after setting the first filtering data, set the first device code in the processing device and the first measurement device to an enabled state.
[0006] In one embodiment, when a second measurement device is communicatively connected to a processing device, the processing device is configured to: receive a second device code provided by the second measurement device; determine whether the second device code is identical to the first device code; and, if the second device code is identical to the first device code, transmit a conflict signal to the second measurement device or the control device to reset the second device code.
[0007] In one embodiment, the processing device is further configured to: establish second filtering data in the processing device when the second device code is different from the first device code, wherein the second filtering data corresponds to the second measuring device and is configured to cause the energy meter to record at least a portion of the plurality of second sensing data provided by the second measuring device as the plurality of second energy data based on the second filtering data; and after setting the second filtering data, set the second device code in the processing device and the second measuring device to an enabled state.
[0008] In one embodiment, the processing device is further configured to: when the second device code is the same as the first device code but the first device code is set to a disabled state, set the first filtering data to second filtering data; and after setting the second filtering data, set the second device code in the processing device and the second measuring device to an enabled state, wherein the second filtering data is configured to cause the energy meter to record at least a portion of the plurality of second sensing data provided by the second measuring device as a plurality of second energy data based on the second filtering data.
[0009] In one embodiment, the first screening data further includes a plurality of judgment thresholds corresponding to the plurality of storage conditions. The first measuring device is configured to classify the plurality of first sensing data according to the plurality of signal types to correspond to the plurality of judgment thresholds. The processing device is configured to store the plurality of first sensing data as one of the plurality of first energy data corresponding to one of the plurality of signal types when one of the plurality of first sensing data meets a corresponding one of the plurality of judgment thresholds.
[0010] In one embodiment, the plurality of judgment thresholds are dynamically adjusted according to analysis results of the plurality of first energy data.
[0011] In one embodiment, the processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and the processing device is used to: perform calculations on each of the plurality of energy data with a corresponding one of the plurality of carbon emission coefficients, and to collect carbon emission statistics.
[0012] In one embodiment, the plurality of sensors include an analog flow meter. The first measuring device is configured to convert an analog sensing signal provided by the analog flow meter into analog sensing data; and sample the analog sensing data according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the plurality of signal types, wherein the one of the plurality of signal types is water flow, gas flow, or oil flow.
[0013] In one embodiment, the first measurement device is selectively configured to be in one of a plurality of measurement modes, wherein the plurality of measurement modes correspond to a plurality of measurement parameters and the plurality of signal types. The first measurement device is further configured to, when the first measurement device is configured to be in a first measurement mode of the plurality of measurement modes, perform a calculation on the digital sensing data according to a sampling accuracy and a first measurement parameter corresponding to the first measurement mode to obtain the calculated digital sensing data as one of the plurality of first sensing data.
[0014] The present disclosure also relates to an energy measurement method, comprising: when a processing device establishes a communication connection with a first measurement device, setting a device code corresponding to the first measurement device and setting a plurality of channel codes corresponding to a plurality of measurement circuits in the first measurement device; converting, by the first measurement device, a plurality of first sensing signals provided by a plurality of sensors into a plurality of first sensing data; receiving, by the processing device, the plurality of first sensing data and identifying the first measurement device and the plurality of measurement circuits based on the first device code and the plurality of channel codes; and recording at least a portion of the plurality of first sensing data as a plurality of first energy data, wherein each piece of the plurality of first energy data corresponds to the first device code and a corresponding one of the plurality of channel codes.
[0015] In one embodiment, the energy measurement method further includes: when the processing device is in communication with the first measurement device, setting first filtering data, wherein the first filtering data includes multiple signal types and corresponding multiple storage conditions, and the processing device records at least a portion of the multiple first sensing data as the multiple first energy data based on the first filtering data; and after setting the first filtering data, setting the first device code in the processing device and the first measurement device to an enabled state.
[0016] In one embodiment, the energy measurement method further includes: receiving, by the processing device, a second device code from a second measurement device; determining whether the second device code is the same as the first device code; and, if the second device code is the same as the first device code, transmitting a conflict signal to the second measurement device or the control device to reset the second device code.
[0017] In one embodiment, the energy measurement method further includes: when the second device code is different from the first device code, establishing second filtering data in the processing device, wherein the second filtering data corresponds to the second measurement device, and is used to enable the processing device to record at least a portion of the plurality of second sensing data provided by the second measurement device as a plurality of second energy data based on the second filtering data; and after setting the second filtering data, setting the second device code in the processing device and the second measurement device to an enabled state.
[0018] In one embodiment, the energy measurement method further includes: when the second device code is the same as the first device code but the first device code is set to a disabled state, setting the first filtering data to second filtering data; and after setting the second filtering data, setting the second device code in the processing device and the second measurement device to an enabled state, wherein the second filtering data is used to cause the processing device to record at least a portion of the plurality of second sensing data provided by the second measurement device as a plurality of second energy data based on the second filtering data.
[0019] In one embodiment, the first screening data further includes a plurality of judgment thresholds corresponding to the plurality of storage conditions, and the energy measurement method further includes: classifying the plurality of first sensing data according to the plurality of signal types to correspond to the plurality of judgment thresholds; when one of the plurality of first sensing data meets a corresponding one of the plurality of judgment thresholds, storing the one of the plurality of first sensing data as one of the plurality of first energy data and corresponding to one of the plurality of signal types.
[0020] In one embodiment, the energy measurement method further includes: periodically and dynamically adjusting the plurality of determination thresholds according to analysis results of the plurality of first energy data.
[0021] In one embodiment, the processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and the energy measurement method further includes: performing calculations on each of the plurality of energy data and a corresponding one of the plurality of carbon emission coefficients, and collecting carbon emission statistics.
[0022] In one embodiment, the multiple sensors include an analog flow meter, and the energy measurement method further includes: converting an analog sensing signal provided by the analog flow meter into analog sensing data; and sampling the analog sensing data according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the multiple signal types, and one of the multiple signal types is water flow, gas flow, or oil flow.
[0023] In one embodiment, the first measurement device is selectively set to one of a plurality of measurement modes, and the plurality of measurement modes correspond to a plurality of measurement parameters and the plurality of signal types. The energy measurement method further includes: when the first measurement device is set to a first measurement mode of the plurality of measurement modes, performing calculations on the digital sensing data according to a sampling accuracy and a first measurement parameter corresponding to the first measurement mode to obtain one of the plurality of first sensing data.
[0024] The present disclosure also relates to an energy meter, comprising a measuring device and a processing device. The measuring device comprises a plurality of measuring circuits. The plurality of measuring circuits are coupled to a power sensor and an analog sensor via a plurality of input ports to receive power sensing signals and analog sensing signals. The measuring device is configured to convert the power sensing signals and the analog sensing signals into a plurality of sensing data. The processing device is communicatively connected to the measuring device to receive the plurality of sensing data from the measuring device. When the processing device establishes a communication connection with the measuring device, the energy meter is configured to set a device code corresponding to the measuring device and to set a plurality of channel codes corresponding to the plurality of measuring circuits. The processing device is configured to record at least a portion of the plurality of sensing data as a plurality of energy data, and each of the plurality of energy data corresponds to one of the device code and the plurality of channel codes.
[0025] In one embodiment, the processing device is configured to provide driving power to the measuring device, and the measuring device generates the plurality of sensing data according to the driving power.
[0026] In one embodiment, the processing device is configured to: when the processing device is in communication with the measuring device, set filtering data, wherein the filtering data includes multiple signal types and corresponding multiple storage conditions, and the energy meter records at least a portion of the multiple sensing data as the multiple energy data according to the filtering data; and after setting the filtering data, set the device code in the processing device and the measuring device to an enabled state.
[0027] In one embodiment, the processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and the processing device is used to: perform calculations on each of the plurality of energy data and a corresponding one of the plurality of carbon emission coefficients, and to collect carbon emission statistics.
[0028] In one embodiment, the measuring device is used to: convert an analog sensing signal provided by an analog sensor into analog sensing data; and sample the analog sensing data according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the multiple signal types, and one of the multiple signal types is water flow, gas flow, or oil flow.
[0029] The energy meter disclosed herein is assembled in a "modular" manner, and thus can be applied to process various types of sensing data, with good configuration flexibility and management convenience. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 is a schematic diagram of an energy management system according to some embodiments of the present disclosure;
[0031] Figure 2is a schematic diagram of an energy meter according to some embodiments of the present disclosure;
[0032] Figure 3 A flowchart of data integration according to some embodiments of the present disclosure;
[0033] Figure 4 Flowchart of a modular arrangement according to some embodiments of the present disclosure.
[0034]
Explanation of symbols
[0035] 100:Energy Management System
[0036] 110:Sensor
[0037] 120: Energy meter
[0038] 130: Load equipment
[0039] 140: Control device
[0040] 150: Management Server
[0041] 160: Network equipment
[0042] 210: Processing device
[0043] 211:Controller
[0044] 220A-220C: Measuring device
[0045] 221: Processor
[0046] 222: Measurement circuit
[0047] 223: Input port
[0048] DP: driving power
[0049] SA: Sensed Data
[0050] S21-S24: Sensing signal
[0051] S301-S304: Steps
[0052] S401-S406: Steps DETAILED DESCRIPTION
[0053] The following drawings illustrate various embodiments of the present invention. For clarity, many practical details are included in the following description. However, it should be understood that these practical details are not intended to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not essential. Furthermore, to simplify the drawings, some commonly used structures and components are depicted in simplified schematic form.
[0054] As used herein, when an element is referred to as being "connected" or "coupled," it may refer to being "electrically connected" or "electrically coupled." "Connected" or "coupled" may also refer to the coordinated operation or interaction between two or more elements. Furthermore, while terms such as "first," "second," and so on are used herein to describe different elements, these terms are intended solely to distinguish between elements or operations described using the same technical terms. Unless the context clearly indicates otherwise, these terms are not intended to specify or imply an order or sequence, nor are they intended to limit the present invention.
[0055] This disclosure relates to an energy meter for recording energy consumption information of various load devices. The energy meter can be coupled to a sensor on the load device. When the sensor detects the operating status of the load device and obtains a sensing signal, the sensor transmits the sensing signal to the energy meter.
[0056] Depending on the type of load device, the sensing signal provided by the sensor may vary. For example, for power-related electrical load devices, the information used to indicate energy consumption status may be "voltage" or "current." However, because voltage and current are two sides of the same coin, they require energy meters with specific specifications or circuits to receive and interpret them. These sensors are referred to as "power sensors."
[0057] On the other hand, there are other non-electrical load devices whose sensors generate analog signals, such as water flow meters, gas flow meters, or oil flow meters. These "analog sensors" therefore also require specialized energy meters to receive and interpret them.
[0058] As mentioned above, since different types of load devices generate different types of sensing signals from their sensors, a corresponding energy meter must be installed for each load device. However, this approach makes it difficult to integrate the various types of sensing signals and is also costly to install.
[0059] Figure 1 FIG2 shows a schematic diagram of an energy management system 100 according to some embodiments of the present disclosure. The energy management system 100 includes a plurality of sensors 110 and a plurality of energy meters 120. Each sensor 110 is mounted on a load device 130 to detect the operating status of the load device 130 and obtain a sensing signal. The energy meter 120 is coupled to one or more sensors 110 to receive the sensing signals provided by the sensors 110.
[0060] In one embodiment, the energy management system 100 further includes a control device 140, a management server 150, and a network device 160. The control device 140 may be a portable device (e.g., a smart phone) that is communicatively connected to the energy meter 120 to manage the energy meter 120 (e.g., access data, set detection parameters, etc.). The management server 150 establishes a communication connection with the energy meter 120 in a wired or wireless manner to receive all data obtained by the energy meter 120 (e.g., backup data) for the user to access at any time. As shown in the figure, the energy meter 120 can be indirectly connected to the management server 150 via the network device 160, or it can be directly connected to the management server 150. Since people skilled in the art can understand the method of transmitting information between devices through communication technology, it will not be further described here.
[0061] Figure 2 FIG2 is a schematic diagram of an energy meter 120 according to some embodiments of the present disclosure. Figure 1 and Figure 2 In one embodiment, energy meter 120 includes a processing device 210 and one or more measuring devices 220A-220C. Processing device 210 is communicatively connected to measuring devices 220A-220C to receive sensor data SA uploaded by measuring devices 220A-220B. A controller 211 of processing device 210 analyzes sensor data SA and records it as energy data. The processing operations of processing device 210 will be described in detail in the following sections.
[0062] The measuring devices 220A-220C can be connected in series and assembled with the processing device 210. For example, the energy meter 120 includes two measuring devices, wherein the first measuring device 220A is assembled on the processing device 210, and the second measuring device 220B is assembled on the first measuring device 220A. In other words, each measuring device 220A-220C can be installed or removed in the form of an expansion module. To keep the drawings simple, Figure 2 The following is an example of "two measuring devices".
[0063] Specifically, each measurement device includes a processor 221, multiple measurement circuits 222, and multiple input ports 223. The processor 221 is in communication with the controller 211 of the processing device 210. Each measurement circuit 222 corresponds to and is coupled to a respective input port 223 to receive sensing signals S21-S24 uploaded by the sensor 110. Each measurement device converts the received sensing signals to generate sensing data SA.
[0064] It is important to note that the internal circuitry of the measurement circuit 222 and / or the specifications and interfaces of the input port 223 may differ between each measurement device. For example, the first measurement device 220A is coupled to a power sensor, so its input port interface may be a Universal Serial Bus (USB). The second measurement device 220B is coupled to an analog sensor, so its input port interface may be a dedicated analog signal connector.
[0065] In one embodiment, the sensing signals S21-S24 may be voltage signals. The first measurement device 220A may divide the voltage signals using internal voltage-dividing resistors to convert them into a voltage range that complies with the operating voltage of the processor 221. The first measurement device 220A's method of converting the sensing signals is not limited to the aforementioned voltage-dividing circuit. In other embodiments, the first measurement device 220A may also use an internal filtering circuit to filter out noise from the sensing signals S21-S24 to generate the sensing data SA. In addition to the aforementioned voltage-dividing circuit, filtering circuit, and combinations thereof, the first measurement device 220A may also include a level shifter, a voltage stabilizing element, and the like.
[0066] In one embodiment, the processing device 210 is further configured to provide driving power DP to each of the measurement devices 220A-220C, so that the measurement devices 220A-220C operate according to the driving power DP and generate sensing data SA. However, the present disclosure is not limited thereto. In other embodiments, each of the measurement devices 220A-220C may also be equipped with a battery or coupled to a power supply network to obtain the driving power DP.
[0067] The energy meter 120 of the present disclosure is assembled in a modular fashion, making it adaptable to various types of load devices 130 and sensors 110. Furthermore, received data can be consolidated and recorded by the processing device 210. Therefore, each measuring device 220A-220C does not require complex internal circuitry, which helps control installation costs and provides excellent configuration flexibility and management convenience. In other words, a single energy meter 120 can clearly record different types of data (e.g., electricity, water, oil, and gas).
[0068] When each measuring device 220A-220C is activated, each measuring device 220A-220C sets its own device code and simultaneously sets a channel code for each input port 223. In one embodiment, the device code and channel code can be set via an input device (e.g., a keypad) of the processing device or the measuring device, or remotely connected to the measuring device via the control device 140 for setting.
[0069] When a communication connection is established between the processing device 210 and each of the measurement devices 220A-220C, each measurement device 220A-220C transmits a device code and a channel code to the processing device 210. Consequently, when each measurement device 220A-220C subsequently transmits acquired sensor data to the processing device 210, the processing device 210 can identify each measurement device 220A-220C based on the device code and record and categorize the sensor data based on the channel code (e.g., storing data from the same sensor in the same file).
[0070] In one embodiment, the processing device 210 may not only display the sensed data (e.g., via a display screen), but may also selectively store the received sensed data. The processing device 210 may record at least a portion of the sensed data as energy data, with each energy data item corresponding to a device code and a channel code.
[0071] The energy meter 120 of the present disclosure and the energy management system 100 used therein have functions such as “data integration”, “data screening”, “system monitoring” and “modular configuration”, which are described in order below.
[0072] First, the “data integration” function of the energy meter 120 will be described. Figure 3 FIG2 is a flow chart of a data integration method according to some embodiments of the present disclosure. In step S301, the processing device 210 establishes a communication connection with the first measurement device 220A and sets a first device code corresponding to the first measurement device 220A and a first channel code corresponding to each input port 223 of the first measurement device 220A.
[0073] In step S302, the first measurement device 220A receives a plurality of first sensing signals S21-S24 provided by the sensor 110 via the input ports 223. The first measurement device 220A then converts the first sensing signals S21-S24 into a plurality of first sensing data SA via the measurement circuits 222 and the processor 221. As previously described, the first sensing signals S21-S24 may include power sensing signals and / or analog sensing signals. In one embodiment, the sensing data SA may also include corresponding signal types and timestamps.
[0074] In one embodiment, the first sensing signals S21-S24 are all transmitted to the first measurement device 220A in the form of electrical signals. In other words, the first sensing signals S21-S24 form a sensing voltage at the input port 223. The sensing voltage can be a digital signal or an analog signal, and the measurement circuit 222 is used to convert the sensing voltage to generate corresponding sensing data.
[0075] In step S303, the processing device 210 receives the first sensing data SA and identifies the corresponding first measurement device 220A and its measurement circuit 222 / input port 223 based on the first device code and the first channel code. In step S304, the processing device 210 records at least a portion of the first sensing data as first energy data based on the first device code and the first channel code, such that each first energy data item corresponds to the first device code and the corresponding channel code.
[0076] In one embodiment, after the processing device 210 obtains the first device code of the first measurement device 220A, it creates a tag corresponding to the first device code within the processing device 210 to record the status of the first device code. If the first device code is in an enabled state (e.g., the tag "ON"), it indicates that the first measurement device 220A has been configured and is operating normally. If the first device code is in a disabled state (e.g., the tag "OFF"), it indicates that the first measurement device 220A is in an inoperative state (e.g., abnormal, removed, or not yet configured). Similarly, a tag corresponding to the first device code may also be provided within the first measurement device 220A to record the status of the first device code. The method for identifying the "device code status" will be described in detail in the subsequent "Modular Configuration" function.
[0077] Here, the method by which the measurement circuit 222 converts the first sensing signals S21 to S24 into the first sensing data SA in the aforementioned step S302 is described. In one embodiment, each measurement circuit 222 further includes a plurality of measurement sub-circuits, each of which is used to process different types of signals. In addition, the measurement device can be set to different measurement modes, each of which corresponds to a specific measurement parameter, signal type, expected measurement signal range, and measurable data range. The expected measurement signal range of each measurement mode depends on the detected sensor 110 / load device 130 and is therefore different from each other. According to different measurement modes, the measurement device can selectively use one or more measurement sub-circuits to process the sensing signal.
[0078] Continuing from the above, for example, when the first measurement device 220A sets its input port 223 and corresponding measurement circuit 222 to "voltage mode," the measurement circuit 222 receives the sensed signal through the voltage measurement subcircuit corresponding to "voltage mode." Through voltage division and filtering, the sensed signal is converted into sensed data. Next, the processor 221 determines whether the sensed data matches the expected measurement signal range in "voltage mode." For example, if the sensed data is "5 volts," the expected measurement signal range in "voltage mode" is between 2 and 10 volts, indicating that the sensed data is correct.
[0079] Similarly, when the first measuring device 220A sets the input port 223 and the corresponding measuring circuit 222 to the "current mode" or "temperature mode", the measuring circuit 222 receives the sensing signal through the corresponding measuring sub-circuit so that the converted sensing data can conform to the expected measurement signal range of the "current mode" or "temperature mode".
[0080] In some embodiments, the processor 221 of the measuring device can preset one of the measurement modes as a default mode (e.g., voltage mode). When sensing data is generated in the default mode but does not conform to the expected measurement signal range, the processor 221 automatically switches to another mode. This allows the correct measurement mode to be automatically found to generate sensing data.
[0081] Furthermore, in some embodiments, when the sensing signal is an analog sensing signal, the measuring device must also perform digital-to-analog conversion on the analog sensing signal based on the sampling accuracy, measurement parameters, signal type, expected measurement signal range, and measurable data range corresponding to each measurement mode, thereby quantizing the analog data and encoding it into digital data. Generally speaking, analog sensing signals are often used to record water flow, gas flow, or oil flow, but the present disclosure is not limited thereto.
[0082] In one embodiment, the measuring device converts the analog sensing signal into analog sensing data, then samples the analog sensing data according to a sampling accuracy to generate digital sensing data. The digital sensing data corresponds to one of the signal types, such as water flow, gas flow, or oil flow. The measuring device then performs another operation on the digital sensing data based on the sampling accuracy and the measurement parameters of the current measurement mode. The result of the operation is provided to the processing device 210 as sensing data. For example, if the expected measurement signal range is "0.5-10.5 volts," and the "analog sensing signal input value" received by the measurement circuit 222 is "2.5 volts," the analog sensing data obtained after conversion by the measurement circuit 222 (e.g., voltage division or multiplication of the analog sensing signal input value by a conversion coefficient of 0.5) is "1.25 volts." Because analog signals are dynamically changing data, the processor 221 needs to sample the analog sensing data for a period of time according to the sampling accuracy corresponding to the current measurement mode (e.g., voltage mode) to generate the first digital sensing data. For example, in the "voltage mode," the sampling accuracy is set to 12 bits (i.e., 4096 levels), and the reference voltage of the measurement circuit 222 is 5.5 volts (i.e., the measurement parameter). The analog sensing data "1.25 volts" is processed by the processor 221 to generate the first digital sensing data "931" (the calculation method is: (1.25 / 5.5)×4096).
[0083] Continuing with the above, after generating the first digital sense data, the processor 221 further performs computations on the first digital sense data based on the sampling precision and measurement parameters corresponding to the current measurement mode to verify whether it conforms to the expected measurement signal range. For example, in the aforementioned embodiment, in the "voltage mode," the sampling precision is set to 12 bits (i.e., 4096 steps), the reference voltage of the measurement circuit 222 is 5.5 volts (i.e., the measurement parameter), and the sense signal conversion factor is 0.5. If the first digital sense data generated by the sampling is "931," the processor 221 calculates "(931 / 4096)×5.5 / 0.5" to obtain "2.5," which is equal to the analog sense signal input value received by the measurement device and conforms to the expected measurement signal range of the voltage mode (e.g., 0.5-10.5 volts).
[0084] After confirming that the expected measurement signal range is met, processor 221 again performs operations on the analog sensing signal input value restored from the first digital sensing data, based on the sampling accuracy corresponding to the current measurement mode and the expected measurement signal range, to obtain second digital sensing data. As in the aforementioned embodiment, in "voltage mode," the sampling accuracy is set to 12 bits (i.e., 4096 steps), the expected measurement signal range is 0.5-10.5 volts, and the analog sensing signal input value is "2.5 volts." After processing by processor 221, the generated second digital sensing data is "819" (e.g., the calculation method is: (2.5-0.5) / (10.5-0.5)×4096).
[0085] Finally, the processor 221 will also perform calculations on the second digital sensing data according to the sampling accuracy and measurement parameters corresponding to the current measurement mode, and the result of the calculation will be used as the sensing data provided to the processing device 210. For example: in the "voltage mode", the sampling accuracy is set to 12 bits (i.e., 4096 levels), and the signal type corresponding to this analog sensing signal is water flow, and its measurable data (flow) range is "0.5~20.5m 3 / h". If the second digital sensing data generated by sampling is "819", the processor 221 calculates "(819 / 4096)×(20.5-0.5)+0.5" and the result is "4.5m 3 / h", so the sensing data can be recorded as water flow "4.5m 3 / h”.
[0086] Furthermore, in one embodiment, the sensing data may be a real-time flow rate value. Therefore, the processor 221 may also accumulate the sensing data for a period of time, and store the accumulated result as another accumulated data, and / or provide it to the processing device 210 .
[0087] In some embodiments, the processing device 210 also stores multiple carbon emission coefficients, each corresponding to a signal type. Because the carbon emission coefficient is dependent on factors such as the energy supplier and supply period, in one embodiment, the carbon emission coefficient is also associated with each device code and channel code, and may correspond to a specific time period. After generating energy data, the processing device 210 can calculate the energy data and the corresponding carbon emission coefficient to obtain carbon emission statistics. This allows users to clearly and directly verify carbon emission data.
[0088] Next, the "data filtering" function of the energy meter 120 will be described. In one embodiment, the processing device 210 selectively records at least a portion of the sensed data as energy data based on internally stored "filtering data." In other words, the processing device 210 analyzes the sensed data to determine whether each piece of sensed data should be stored in the database as energy data or whether the sensed data is routine information and does not need to be stored.
[0089] Taking the first measuring device 220A as an example, when the processing device 210 is in communication with the first measuring device 220A, the energy meter 120 will set the first filtering data corresponding to the first measuring device 220A. This setting operation can be performed remotely by the controller 211, the processor 221, or the control device 140. The first filtering data is stored in the processing device 210, but the first measuring device 220A can also store the same first filtering data. After the first filtering data is set, the first device code in the processing device and the first measuring device is set to an enabled state.
[0090] The first screening data includes multiple signal types and corresponding storage conditions. The processing device 210 is used to record the sensing data as energy data according to the signal type and the corresponding storage conditions. Each piece of energy data also includes a corresponding device code and a channel code.
[0091] The following is an example of the first filter data:
[0092]
[0093]
[0094] Here is another example of first filtering data:
[0095]
[0096]
[0097] As shown in the table above, each signal type has a corresponding storage condition, and each storage condition can correspond to one or more judgment thresholds. The measurement devices 220A-220C can classify the generated sensor data based on the signal type in the filtered data, labeling the sensor data with the corresponding signal type and judgment threshold. In other words, the sensor data provided by the measurement devices 220A-220C to the processing device 210 already has the signal type recorded, allowing the processing device 210 to directly perform further analysis on the sensor data.
[0098] In one embodiment, the processing device 210 stores the received sensor data in a temporary register, allowing the user to view it in real time via the display of the processing device 210 or the control device 140. Furthermore, the processing device 210 determines whether the sensor data meets the threshold set in the storage conditions. If the storage conditions and the threshold are met, indicating that the sensor data is important information, the processing device 210 records the sensor data as energy data. Since the energy data is filtered from the sensor data, it also corresponds to the same signal type.
[0099] Here we continue to explain the "system monitoring" function of the energy meter 120. Figure 1 and Figure 2 As shown, in one embodiment, the energy meter 120 is equipped with a display screen to display the received sensor data in real time. Simultaneously, the processing device 210 uploads the recorded energy data (i.e., filtered and critical data) to the management server 150. Therefore, users can remotely connect to the energy meter 120 or management server 150 via the control device 140 to access or analyze the energy data at any time.
[0100] Furthermore, the user can configure various parameters or measurement modes of the energy meter 120 by operating the processing device 210 or remotely connecting to the energy meter 120 through the control device 140. In one embodiment, the judgment threshold in the filtered data can be a fixed preset value or a dynamically adjusted value. For example, the processing device 210 (or through the control device 140 or the management server 150) can periodically analyze the energy data for each signal type and dynamically adjust the judgment threshold based on the analysis results (e.g., quality level, accumulated data).
[0101] For example, the processing device 210 records the average hourly water consumption (energy data) during the off-peak period. Every three months, the processing device 210 analyzes the average hourly water consumption during this period and adds half of the standard deviation as a new judgment threshold for "average water consumption."
[0102] For another example, the processing device 210 records the "power efficiency" of the electrical equipment. At predetermined intervals, the processing device 210 calculates the "power efficiency" using a specific ratio or function based on the accumulated operating time and the life parameters in the equipment specifications to generate a new judgment threshold.
[0103] The "modular configuration" function of the energy meter 120 will now be described. As previously described, in the energy meter 120, a processing device 210 can be coupled to multiple measuring devices 220A-220C. When the energy meter 120 is activated, the processing device 210 sequentially inquires (polls) the status of each measuring device 220A-220C. For example, the processing device 210 sequentially confirms the device code and status with each measuring device 220A-220C. If the device code is incorrect, or if the status of the device code recorded by the processing device 210 and each measuring device 220A-220C does not match, it indicates that there is a configuration anomaly.
[0104] After confirming that the device code and status are consistent, the processing device 210 accesses the predefined memory locations in the measurement devices 220A-220C to accurately obtain the sensing data. In one embodiment, the processing device 210 may also provide time data to the measurement devices 220A-220C to ensure that the time between the processing device 210 and the measurement devices 220A-220C is consistent.
[0105] If the device codes are inconsistent, the processing device 210 will determine whether there is a device anomaly or a new device has been added. Figure 4 FIG2 is a flowchart illustrating a modular configuration according to some embodiments of the present disclosure. In step S401, the processing device 210 sequentially confirms a device code with each of the measurement devices 220A-220C. The second measurement device 220B has already been configured with a second device code and channel codes. When the processing device 210 is coupled to the second measurement device 220B, the processing device 210 receives the second device code from the second measurement device 220B.
[0106] In step S402, the processing device 210 determines whether the second device code is identical to the device codes stored in the processing device 210. If the second device code is different from the device codes stored in the processing device 210, it indicates that the second measurement device 220B is a newly added device and that the processing device 210 is being coupled to the second measurement device 220B for the first time. In this case, in step S403, the processing device 210 creates second screening data (which can be remotely set by the control device via the app). Simultaneously, the second device codes in the processing device 210 and the second measurement device 220B are set to an enabled state.
[0107] The second filtered data may be stored in the processing device 210 and / or the second measuring device 220B. Based on the second filtered data, the processing device 210 may record at least a portion of the second sensing data provided by the second measuring device 220B as the second energy data. The content and application of the second filtered data may be similar to those of the first filtered data, and therefore will not be further described here.
[0108] On the other hand, if the second device code is the same as the first device code recorded in the processing device 210 , it is necessary to go through steps S404 to S406 to determine whether the two device codes conflict.
[0109] In step S404, the processing device 210 further determines whether the first device code is enabled. If the first device code is enabled, this indicates that the first measurement device 220A corresponding to the first device code is still functioning normally, and therefore a conflict has occurred between the second device code and the first device code. In this case, in step S405, the energy management system 100 transmits a conflict signal to the second measurement device 220B (or the control device 140), requesting the user to reset the second device code to resolve the conflict.
[0110] If the first device code is in the disabled state, it means that the first measurement device 220A corresponding to the first device code has been removed and the second measurement device 220B has been used to replace the first measurement device 220A. In this case, in step S406, there is no need to reconfigure the second filtering data. The processing device 210 will set the first filtering data to the second filtering data, allowing the processing device 210 to record the sensing data provided by the first measurement device 220A and the sensing data provided by the second measurement device 220B in the same database. At the same time, the second device code in the processing device 210 and the second measurement device 220B will be set to the enabled state.
[0111] The energy meter disclosed herein utilizes a modular design concept, capable of simultaneously collecting sensing signals of various types (e.g., electricity, water, gas, and oil) and instantly calculating carbon emissions. This allows users to conveniently manage and analyze all load devices 130 to understand key carbon emission sources. Furthermore, through a network connection formed by a management server 150 or network device 160, users can monitor energy consumption status through the control device 140 and receive instant notifications when abnormal energy consumption occurs, facilitating management.
[0112] The various elements, method steps or technical features in the aforementioned embodiments may be combined with each other and are not limited to the order of description in the text or the order of presentation in the drawings in this disclosure.
[0113] Although the present disclosure has been disclosed above in the form of implementation methods, it is not intended to limit the present disclosure. Anyone skilled in the art may make various changes and modifications without departing from the spirit and scope of the present disclosure. Therefore, the scope of protection of the present disclosure shall be determined by the appended claims.
Claims
1. An energy meter, characterized in that: Include: a first measuring device comprising a plurality of measuring circuits, wherein the plurality of measuring circuits are coupled to a plurality of sensors through a plurality of input ports to receive a plurality of first sensing signals and to convert the plurality of first sensing signals into a plurality of first sensing data; as well as a processing device communicatively connected to the first measuring device to receive the plurality of first sensing data from the first measuring device; The first measuring device is further used to: Setting a first device code corresponding to the first measuring device and setting a plurality of channel codes corresponding to the plurality of measuring circuits; providing the first device code and the plurality of channel codes to the processing device when establishing a communication connection with the processing device; as well as The first sensing data are provided to the processing device so that the processing device records at least a portion of the first sensing data as first energy data, wherein each of the first energy data corresponds to the first device code and a corresponding one of the channel codes.
2. The energy meter according to claim 1, wherein: The processing device is used to: When the processing device is in communication with the first measuring device, first filtering data is set, wherein the first filtering data includes a plurality of signal types and corresponding storage conditions, and the energy meter records at least a portion of the plurality of first sensing data as the plurality of first energy data according to the first filtering data; as well as After the first screening data is set, the first device code in the processing device and the first measuring device is set to an enabled state.
3. The energy meter according to claim 2, wherein: When a second measurement device is communicatively connected to the processing device, the processing device is configured to: receiving a second device code provided by the second measurement device; determining whether the second device code is the same as the first device code; as well as When the second device code is identical to the first device code, a conflict signal is sent to the second measuring device or a control device to reset the second device code.
4. The energy meter according to claim 3, wherein: The processing device is also used to: When the second device code is different from the first device code, creating a second filtering data in the processing device, wherein the second filtering data corresponds to the second measuring device, and is used to enable the energy meter to record at least a portion of the plurality of second sensing data provided by the second measuring device as a plurality of second energy data according to the second filtering data; as well as After the second screening data is set, the second device code in the processing device and the second measuring device is set to an enabled state.
5. The energy meter according to claim 3, wherein: The processing device is also used to: When the second device code is the same as the first device code but the first device code is set to a disabled state, setting the first screening data to a second screening data; as well as After the second filtering data is set, the second device code in the processing device and the second measuring device is set to an enabled state, wherein the second filtering data is used to enable the energy meter to record at least a portion of the plurality of second sensing data provided by the second measuring device as a plurality of second energy data according to the second filtering data.
6. The energy meter according to claim 2, wherein: The first screening data further includes a plurality of determination thresholds corresponding to the plurality of storage conditions, and the first measuring device is configured to: classifying the plurality of first sensing data according to the plurality of signal types to correspond to the plurality of determination thresholds; The processing device is used to: When one of the plurality of first sensing data meets a corresponding one of the plurality of determination thresholds, the one of the plurality of first sensing data is stored as one of the plurality of first energy data and corresponds to one of the plurality of signal types.
7. The energy meter according to claim 6, wherein: The plurality of judgment thresholds are dynamically adjusted according to an analysis result of the plurality of first energy data.
8. The energy meter according to claim 6, wherein: The processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and is configured to: Each of the plurality of energy data is calculated with a corresponding one of the plurality of carbon emission coefficients, and carbon emission statistical data is calculated.
9. The energy meter according to claim 2, wherein: The plurality of sensors include an analog flow meter, and the first measuring device is configured to: converting an analog sensing signal provided by the analog flow meter into analog sensing data; and The analog sensing data is sampled according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the plurality of signal types, and the one of the plurality of signal types is water flow, gas flow, or oil flow.
10. The energy meter according to claim 9, wherein: The first measurement device is selectively set to one of a plurality of measurement modes, and the plurality of measurement modes correspond to a plurality of measurement parameters and the plurality of signal types; The first measuring device is further used to: When the first measuring device is set in a first measuring mode of the plurality of measuring modes, the digital sensing data is operated according to the sampling accuracy and a first measuring parameter corresponding to the first measuring mode to serve as one of the plurality of first sensing data.
11. An energy measurement method, characterized in that: Include: When a processing device establishes a communication connection with a first measurement device, a first device code corresponding to the first measurement device and a plurality of channel codes corresponding to a plurality of measurement circuits in the first measurement device are set; Converting a plurality of first sensing signals provided by a plurality of sensors into a plurality of first sensing data by the first measuring device; The processing device receives the plurality of first sensing data, and identifies the first measuring device and the plurality of measuring circuits according to the first device code and the plurality of channel codes; as well as At least a portion of the plurality of first sensing data is recorded as a plurality of first energy data, wherein each of the plurality of first energy data corresponds to the first device code and a corresponding one of the plurality of channel codes.
12. The energy measurement method according to claim 11, wherein: Also includes: When the processing device is in communication with the first measuring device, first filtering data is set, wherein the first filtering data includes a plurality of signal types and corresponding storage conditions, and the processing device records at least a portion of the plurality of first sensing data as the plurality of first energy data according to the first filtering data; as well as After the first screening data is set, the first device code in the processing device and the first measuring device is set to an enabled state.
13. The energy measurement method according to claim 12, wherein: Also includes: receiving, by the processing device, a second device code from a second measurement device; determining whether the second device code is the same as the first device code; as well as When the second device code is identical to the first device code, a conflict signal is sent to the second measuring device or a control device to reset the second device code.
14. The energy measurement method according to claim 13, wherein: Also includes: When the second device code is different from the first device code, creating a second filtering data in the processing device, wherein the second filtering data corresponds to the second measuring device, so as to enable the processing device to record at least a portion of the plurality of second sensing data provided by the second measuring device as a plurality of second energy data according to the second filtering data; as well as After the second screening data is set, the second device code in the processing device and the second measuring device is set to an enabled state.
15. The energy measurement method according to claim 13, wherein: Also includes: When the second device code is the same as the first device code but the first device code is set to a disabled state, setting the first screening data to a second screening data; as well as After setting the second filtering data, the second device code in the processing device and the second measuring device is set to an enabled state, wherein the second filtering data is used to enable the processing device to record at least a portion of the plurality of second sensing data provided by the second measuring device as a plurality of second energy data according to the second filtering data.
16. The energy measurement method according to claim 12, wherein: The first screening data further includes a plurality of determination thresholds corresponding to the plurality of storage conditions, and the energy measurement method further includes: classifying the plurality of first sensing data according to the plurality of signal types to correspond to the plurality of determination thresholds; When one of the plurality of first sensing data meets a corresponding one of the plurality of determination thresholds, the one of the plurality of first sensing data is stored as one of the plurality of first energy data and corresponds to one of the plurality of signal types.
17. The energy measurement method according to claim 16, wherein: Also includes: The plurality of judgment thresholds are dynamically adjusted periodically according to an analysis result of the plurality of first energy data.
18. The energy measurement method according to claim 16, wherein: The processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and the energy measurement method further comprises: Each of the plurality of energy data is calculated with a corresponding one of the plurality of carbon emission coefficients, and carbon emission statistical data is calculated.
19. The energy measurement method according to claim 12, wherein: The plurality of sensors include an analog flow meter, and the energy measurement method further includes: converting an analog sensing signal provided by the analog flow meter into analog sensing data; and The analog sensing data is sampled according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the plurality of signal types, and the one of the plurality of signal types is water flow, gas flow, or oil flow.
20. The energy measurement method according to claim 19, wherein: The first measurement device is selectively set to one of a plurality of measurement modes, and the plurality of measurement modes correspond to a plurality of measurement parameters and the plurality of signal types. The energy measurement method further includes: When the first measuring device is set in a first measuring mode of the plurality of measuring modes, the digital sensing data is operated according to the sampling accuracy and a first measuring parameter corresponding to the first measuring mode to serve as one of the plurality of first sensing data.
21. An energy meter, characterized in that: Include: A measuring device comprises a plurality of measuring circuits, wherein the plurality of measuring circuits are coupled to a power sensor and an analog sensor through a plurality of input ports to receive a power sensing signal and an analog sensing signal; The measuring device is used to convert the power sensing signal and the analog sensing signal into a plurality of sensing data; and a processing device communicatively connected to the measuring device to receive the plurality of sensing data from the measuring device; When the processing device establishes a communication connection with the measuring device, the energy measuring meter is used to set a device code corresponding to the measuring device and set a plurality of channel codes corresponding to the plurality of measuring circuits; The processing device is configured to record at least a portion of the plurality of sensing data as a plurality of energy data, and each of the plurality of energy data corresponds to the device code and one of the plurality of channel codes.
22. The energy meter according to claim 21, wherein: The processing device is used for providing the measuring device with a driving power, and the measuring device generates the plurality of sensing data according to the driving power.
23. The energy meter according to claim 21, wherein: The processing device is used to: When the processing device is in communication with the measuring device, filtering data is set, wherein the filtering data includes a plurality of signal types and corresponding storage conditions, and the energy meter records at least a portion of the plurality of sensing data as the plurality of energy data according to the filtering data; as well as After the screening data is set, the device codes in the processing device and the measuring device are set to an enabled state.
24. The energy meter according to claim 23, wherein: The processing device stores a plurality of carbon emission coefficients corresponding to the plurality of signal types, and is configured to: Each of the plurality of energy data is calculated with a corresponding one of the plurality of carbon emission coefficients, and carbon emission statistical data is calculated.
25. The energy meter according to claim 22, wherein: The measuring device is used to: converting the analog sensing signal provided by the analog sensor into analog sensing data; and The analog sensing data is sampled according to a sampling accuracy to generate digital sensing data, wherein the digital sensing data corresponds to one of the plurality of signal types, and the one of the plurality of signal types is water flow, gas flow, or oil flow.