Data processing method, data processing device, acquisition terminal and storage medium

Abstract

The invention discloses a data processing method, a data processing device, an acquisition terminal and a computer readable storage medium. The data processing method is applied to the acquisition terminal. The acquisition terminal is in communication connection with the power server and the electric energy meter. The data processing method comprises the following steps: receiving a high-frequency acquisition instruction issued by a power server; acquiring electricity metering data from the electric energy meter at high frequency according to the high-frequency acquisition instruction, and storing the electricity metering data in an acquisition terminal; receiving power failure event information reported by the electric energy meter when a power failure event occurs; determining power consumption settlement data according to the power consumption metering data and the power failure event information; and sending the power consumption settlement data and the power failure event information to a power server. Therefore, when a power failure event occurs in the electric energy meter, the power consumption settlement data can be accurately and efficiently obtained, workers do not need to be dispatched to copy on site, the purposes of saving labor cost and reducing management complexity are achieved, and in addition, the situations of aging of a standby battery of the electric energy meter and the like do not need to be worried about.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a data processing method, a data processing device, a collection terminal and a computer-readable storage medium. Background Art

[0002] As a key device for electricity measurement and management, the energy meter not only has the basic function of energy measurement, but also can store frozen data for a period of time for subsequent electricity bill settlement and data analysis. For general residential users, since the electricity consumption is relatively small, the real-time requirements for electricity bill settlement are not high. Therefore, when a power outage occurs, the power operation service center usually waits for the power outage to be repaired before collecting the relevant required data for settlement.

[0003] However, for market-oriented users of special transformers, due to their large electricity consumption and high electricity bills, they have extremely high requirements for the accuracy and real-time nature of electricity bill settlement. In the event of a power outage, if the method of waiting for the power outage to be repaired before collecting data for settlement is still adopted, it will not be able to meet the settlement needs of market-oriented users of special transformers, and may lead to inaccurate electricity bill settlement, which in turn affects the normal electricity consumption of users and the operating efficiency of power companies. Therefore, how to accurately and efficiently obtain electricity consumption data when a power outage occurs on the energy meter has become an urgent problem to be solved. Summary of the invention

[0004] The embodiments of the present application provide a data processing method, a data processing device, a collection terminal and a computer-readable storage medium to solve at least one of the above-mentioned technical problems.

[0005] The data processing method of the embodiment of the present application is applied to a collection terminal, wherein the collection terminal is respectively connected to a power server and an electric energy meter for communication, and the data processing method comprises:

[0006] Receiving a high-frequency acquisition instruction issued by the power server;

[0007] According to the high-frequency collection instruction, the electric energy meter collects the electric energy metering data at high frequency, and stores the data in the collection terminal;

[0008] Receiving power outage event information reported by the electric energy meter when a power outage event occurs;

[0009] Determine electricity settlement data based on the electricity metering data and the power outage event information;

[0010] The electricity consumption settlement data and the power outage event information are sent to the power server.

[0011] In some implementations, the receiving the high-frequency acquisition instruction issued by the power server includes:

[0012] Receive the high-frequency acquisition parameters and high-frequency acquisition period sent by the power server.

[0013] In some embodiments, the high-frequency acquisition parameters include one or more of voltage data, current data, power factor, forward active power energy, forward reactive power energy, reverse active power energy, reverse reactive power energy, peak time period power consumption, flat time period power consumption, and valley time period power consumption.

[0014] In some embodiments, the power outage event information includes a power outage event time, and determining the power settlement data according to the power metering data and the power outage event information includes:

[0015] Acquire the most recent electricity consumption storage data before the power outage event from the electricity consumption metering data;

[0016] Obtaining storage time corresponding to the electricity consumption storage data;

[0017] Calculating electricity consumption compensation data from the storage time to the power outage event time;

[0018] The electricity consumption settlement data is calculated according to the electricity consumption storage data and the electricity consumption compensation data.

[0019] In some embodiments, the electricity storage data includes voltage data values, current data values, and power factor values, and the calculating of the electricity compensation data from the storage time to the power outage event time includes:

[0020] The power consumption compensation data is calculated according to the voltage data value, the current data value, the power factor value, the storage time and the power outage event time.

[0021] In some embodiments, the electricity storage data includes a plurality of sub-electricity storage data in different time periods, and the calculating the electricity settlement data according to the electricity storage data and the electricity compensation data includes:

[0022] Determine the current time period of the power outage event;

[0023] Accumulate the sub-power consumption storage data and the power consumption compensation data corresponding to the current time period to obtain the power consumption settlement data corresponding to the current time period;

[0024] Using the sub-power consumption storage data corresponding to the non-current time period as the power consumption settlement data corresponding to the non-current time period;

[0025] The electricity consumption settlement data corresponding to the current time period and the electricity consumption settlement data corresponding to the non-current time period are accumulated to obtain the total electricity consumption settlement data corresponding to the multiple different time periods.

[0026] In some embodiments, the sending the electricity settlement data and the power outage event information to the power server includes:

[0027] The electricity settlement data corresponding to the current time period, the electricity settlement data corresponding to the non-current time period, the total electricity settlement data corresponding to the multiple different time periods, and the power outage event information are sent to the power server.

[0028] The data processing device of the embodiment of the present application is applied to a collection terminal, wherein the collection terminal is respectively connected to a power server and an electric energy meter for communication, and the data processing device comprises:

[0029] A first receiving module, used to receive a high-frequency acquisition instruction issued by the power server;

[0030] A collection module, used for collecting electricity consumption metering data from the electric energy meter at high frequency according to the high-frequency collection instruction, and storing the data in the collection terminal;

[0031] A second receiving module is used to receive the power outage event information reported by the electric energy meter when a power outage event occurs;

[0032] A determination module, configured to determine electricity settlement data according to the electricity metering data and the power outage event information;

[0033] A sending module is used to send the electricity settlement data and the power outage event information to the power server.

[0034] The collection terminal of the implementation mode of the present application includes one or more processors and a memory, and the memory stores a computer program. When the computer program is executed by the processor, the data processing method of any of the above implementation modes is implemented.

[0035] The computer-readable storage medium of the embodiment of the present application stores a computer program thereon, and when the program is executed by a processor, the data processing method of any of the above-mentioned embodiments is implemented.

[0036] In the data processing method, data processing device, collection terminal and computer-readable storage medium of the implementation mode of the present application, the collection terminal collects electricity metering data from the electric energy meter at a high frequency. When a power outage occurs to the electric energy meter, the collection terminal determines the electricity settlement data based on the electricity metering data and the power outage event information, and sends the electricity settlement data and the power outage event information to the power server. In this way, when a power outage occurs to the electric energy meter, the electricity settlement data can be obtained accurately and efficiently, and there is no need to send staff to the site to transcribe, thereby achieving the purpose of saving labor costs and reducing management complexity. In addition, there is no need to worry about the aging of the backup battery of the electric energy meter.

[0037] Additional aspects and advantages of the embodiments of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0039] Figure 1 is a flowchart of a data processing method of certain embodiments of the present application;

[0040] Figure 2 It is a schematic diagram of data interaction between a power server, a collection terminal, and an electric energy meter in certain implementation modes of the present application;

[0041] Figure 3 is a flowchart of a data processing method of certain embodiments of the present application;

[0042] Figure 4 is a flowchart of a data processing method of certain embodiments of the present application;

[0043] Figure 5 is a flowchart of a data processing method of certain embodiments of the present application;

[0044] Figure 6 is a schematic diagram of a module of a data processing device in some embodiments of the present application;

[0045] Figure 7 It is a module schematic diagram of a collection terminal in some embodiments of the present application;

[0046] Figure 8 It is a schematic diagram of the connection status between a computer-readable storage medium and a processor in certain embodiments of the present application. DETAILED DESCRIPTION

[0047] The following is a further description of the embodiments of the present application in conjunction with the accompanying drawings. The same or similar reference numerals in the accompanying drawings represent the same or similar elements or elements with the same or similar functions from beginning to end. In addition, the embodiments of the present application described below in conjunction with the accompanying drawings are exemplary and are only used to explain the embodiments of the present application, and cannot be understood as limiting the present application.

[0048] As a key device for electricity measurement and management, the energy meter not only has the basic function of energy measurement, but also can store frozen data for a period of time for subsequent electricity bill settlement and data analysis. For general residential users, since the electricity consumption is relatively small, the real-time requirements for electricity bill settlement are not high. Therefore, when a power outage occurs, the power operation service center usually waits for the power outage to be repaired before collecting the relevant required data for settlement.

[0049] However, for market-oriented users of special transformers, due to their large electricity consumption and high electricity bills, they have extremely high requirements for the accuracy and real-time nature of electricity bill settlement. In the event of a power outage, if the method of collecting data for settlement after waiting for the power outage to be repaired is still adopted, it will not be able to meet the settlement needs of market-oriented users of special transformers, and may lead to inaccurate electricity bill settlement, thereby affecting the normal electricity consumption of users and the operating benefits of power companies.

[0050] In order to solve this problem, the current method of arranging grassroots team members to go to the site to copy data is usually adopted. However, this method has many disadvantages. First, the labor cost and time cost are high. Grassroots team members need to spend a lot of time and energy to go to the site to copy data, which not only increases the operating costs of power companies, but also reduces work efficiency. Secondly, the method of on-site data copying is uncontrollable. The length of the power outage cannot be predicted. If the power outage is short but the personnel have been dispatched, it will cause a waste of resources and increase the difficulty of management. In addition, some electric energy meters may not be able to be awakened due to reasons such as aging of the backup battery, resulting in the inability of staff to copy data after arriving at the site, further increasing the time cost and ineffective work. Therefore, how to accurately and efficiently obtain electricity consumption data when a power outage occurs at the electric energy meter has become an urgent problem to be solved.

[0051] See also Figure 1 and Figure 2 The embodiment of the present application provides a data processing method. The data processing method is applied to a collection terminal 101. The collection terminal 101 is respectively connected to a power server 102 and an electric energy meter 103 for communication. The data processing method includes:

[0052] 010: receiving a high frequency collection instruction issued by the power server 102;

[0053] 020: Collecting electricity consumption data from the electric energy meter 103 at high frequency according to the high frequency collection instruction, and storing it in the collection terminal 101;

[0054] 030: receiving power outage event information reported by the electric energy meter 103 when a power outage event occurs;

[0055] 040: Determine electricity settlement data based on electricity metering data and power outage event information;

[0056] 050: Sending electricity consumption settlement data and power outage event information to the power server 102.

[0057] In the data processing method of the embodiment of the present application, the collection terminal 101 collects electricity metering data from the electric energy meter 103 at a high frequency. When a power outage occurs to the electric energy meter 103, the collection terminal 101 determines the electricity settlement data based on the electricity metering data and the power outage event information, and sends the electricity settlement data and the power outage event information to the power server 102. In this way, when a power outage occurs to the electric energy meter 103, the electricity settlement data can be accurately and efficiently obtained without sending staff to the site to transcribe, thereby achieving the purpose of saving labor costs and reducing management complexity. In addition, there is no need to worry about the aging of the backup battery of the electric energy meter 103.

[0058] Specifically, the power server 102 may be a power operation service center. The power server 102 and the collection terminal 101 may exchange data via remote communication, so that the power server 102 can obtain the operation data of the power grid from the collection terminal 101 in real time. At the same time, the power server 102 may also send control instructions to the collection terminal 101 via remote communication to achieve remote control and scheduling of the power grid. Among them, the remote communication method between the power server 102 and the collection terminal 101 includes but is not limited to LoRa wireless communication, NB-IOT wireless communication, 4G wireless communication, etc.

[0059] The collection terminal 101 is used to collect the power consumption data of the power meter 103 and upload it to the power server 102. The collection terminal 101 and the power meter 103 can exchange data through power carrier communication. Power carrier communication modulates the data signal onto a high-frequency carrier and then transmits it through the power line to achieve real-time data transmission. The number of power meters 103 can be one or more, and there is no limitation here.

[0060] The working process of the data processing method of the implementation mode of the present application is as follows: First, the power server 102 downloads the high-frequency acquisition instruction to the acquisition terminal 101. The high-frequency acquisition instruction may include a high-frequency acquisition scheme and a high-frequency acquisition task. Among them, the high-frequency acquisition scheme includes high-frequency acquisition parameter information, and the high-frequency acquisition task includes high-frequency acquisition cycle information. Secondly, the acquisition terminal 101 collects electricity metering data from the electric energy meter 103 at high frequency according to the high-frequency acquisition instruction, and stores it in the acquisition terminal 101, and specifically can be stored in real time in the memory inside the acquisition terminal 101. Then, the electric energy meter 103 reports the power outage event information to the acquisition terminal 101 when a power outage event occurs. Then, the acquisition terminal 101 determines the electricity settlement data based on the electricity metering data and the power outage event information. Finally, the acquisition terminal 101 sends the electricity settlement data and the power outage event information to the power server 102.

[0061] In the data processing method of the embodiment of the present application, during normal power supply, the collection terminal 101 collects power metering data from the power meter 103 at a high frequency and stores it in real time. When a power outage occurs to the power meter 103, the power settlement data for this power outage is calculated in the collection terminal 101 based on the power metering data and the power outage event information, and the calculation result is reported to the power server 102 in real time, so that the power settlement data for this power outage can be accurately calculated without sending staff to the site to transcribe.

[0062] See also Figure 1 and Figure 2 In some embodiments, receiving the high frequency acquisition instruction (ie, 010) issued by the power server 102 includes:

[0063] Receive the high-frequency acquisition parameters and high-frequency acquisition period sent by the power server 102 .

[0064] Specifically, the high-frequency acquisition parameters refer to some parameters that the acquisition terminal 101 needs to acquire from the electric energy meter 103 at high frequency. The high-frequency acquisition period refers to the period during which the acquisition terminal 101 acquires these parameters from the electric energy meter 103 at high frequency.

[0065] In some embodiments, the high-frequency acquisition parameters include one or more of voltage data, current data, power factor, forward active power, forward reactive power, reverse active power, reverse reactive power, peak time period power consumption, peak time period power consumption, normal time period power consumption, and valley time period power consumption.

[0066] Among them, voltage data can be the real-time value or average value of voltage in the power system, which is a key indicator for evaluating the stability of the power system and the operating status of equipment. Current data refers to the current value flowing through the power system, which is used to calculate power, detect overload, etc. Power factor refers to the ratio of active power to apparent power, which reflects the efficiency of electric energy utilization.

[0067] Positive active energy refers to the active energy flowing from the power source to the load, and is one of the main bases for electricity billing. Positive reactive energy refers to the portion of energy that flows in the power system but does not do work, and is usually related to the charging and discharging process of components such as capacitors or inductors. Reverse active energy refers to the reverse active energy generated when distributed energy sources such as solar power generation send power back to the grid in certain circumstances. Reverse reactive energy refers to the reverse reactive energy generated when reactive power flows from the load to the power source.

[0068] Peak time electricity consumption refers to the electricity consumption during the peak period of electricity demand. Peak time electricity consumption refers to the electricity consumption during the period of relatively high electricity demand. Normal time electricity consumption refers to the electricity consumption during the period of relatively stable electricity demand. Valley time electricity consumption refers to the electricity consumption during the period of lowest electricity demand.

[0069] In the implementation manner of the present application, the high-frequency acquisition parameters include one or more of the above, so that the subsequent acquisition terminal 101 can collect the specific data values ​​(ie, electricity metering data) corresponding to the above parameters from the electric energy meter 103 at high frequency, and then accurately calculate the electricity settlement data.

[0070] In some embodiments, the high-frequency acquisition period is in the order of minutes.

[0071] For example, the high-frequency collection cycle can be within 1 minute. In this way, the collection terminal 101 collects the electricity metering data corresponding to the above parameters from the electric energy meter 103 at a high frequency according to the above cycle, and can timely capture the data changes of the electric energy meter 103, thereby accurately reflecting the actual electricity consumption of the user. In addition, since the collection cycle is short and the collection frequency is high, the data deviation caused by factors such as metering errors and time delays can be significantly reduced, so that the subsequent electricity settlement data determined based on the electricity metering data is more accurate.

[0072] See also Figure 2 and Figure 3 In some embodiments, the power outage event information includes the power outage event time. Determining the power settlement data (ie, 040) based on the power metering data and the power outage event information includes:

[0073] 041: Obtain the most recent electricity consumption storage data before the power outage event from the electricity consumption metering data;

[0074] 042: Obtain the storage time corresponding to the power storage data;

[0075] 043: Calculate the electricity compensation data from the storage time to the power outage event time;

[0076] 044: Calculate electricity settlement data based on electricity storage data and electricity compensation data.

[0077] Specifically, the power outage event time is the specific time node when the power outage event occurs, represented by t1, in seconds. The electricity metering data refers to the specific data value corresponding to the above-mentioned high-frequency acquisition parameters. Among them, the electricity metering data may include electricity storage data collected at multiple different time nodes according to the high-frequency acquisition cycle. For example, the electricity metering data may include electricity storage data collected at time nodes T1, T2, T3, T4, T5, T6... according to the high-frequency acquisition cycle.

[0078] The acquisition terminal 101 obtains the most recent electricity storage data before the power outage event time t1 from the electricity metering data. For example, assuming that the power outage event time t1 is between time nodes T5 and T6, the most recent electricity storage data before the power outage event time t1 acquired by the acquisition terminal 101 is the electricity storage data at time node T5. Furthermore, the most recent electricity storage data before the power outage event time t1 may also include specific data values ​​corresponding to the above-mentioned high-frequency acquisition parameters, namely, voltage data value U, current data value I, power factor value The data value of positive active electric energy, the data value of positive reactive electric energy, the data value of reverse active electric energy, the data value of reverse reactive electric energy, and the data value of power consumption during the peak time period P 尖 , the data value of power consumption during peak time period P 峰 , the data value of power consumption during normal time period P 平 , the data value of electricity consumption during the off-peak period P 谷 .

[0079] The collection terminal 101 also obtains the storage time corresponding to the most recent power consumption storage data before the power outage event time t1. The storage time is the time node when the collection terminal 101 collects and stores the most recent power consumption storage data in real time, represented by t0, in seconds.

[0080] Then, the collection terminal 101 calculates the power consumption compensation data P from the storage time t0 to the power outage event time t1 according to the preset compensation formula algorithm. 补 / Q 补 (For easy distinction, for active power, the power compensation data is expressed as P 补 Indicates; for reactive energy, the power compensation data is expressed as Q 补 Represented), to estimate the power consumption from the most recent power consumption storage data before the power outage event time t1 to the power outage event time t1, so as to compensate the power consumption storage data to obtain the power consumption settlement data, and reduce the deviation between the power consumption settlement data and the actual power consumption.

[0081] See also Figure 4In some embodiments, the power consumption storage data includes voltage data value, current data value and power factor value. Calculating the power consumption compensation data from the storage time to the power outage event time (ie 043) includes:

[0082] 0431: Calculate the electricity compensation data based on the voltage data value, current data value, power factor value, storage time and power outage event time.

[0083] Specifically, as mentioned above, the most recent power consumption storage data before the power outage event time t1 may include a voltage data value U, a current data value I, and a power factor value According to the voltage data value U, current data value I, power factor value The method of calculating the power consumption compensation data based on the storage time t0 and the power outage event time t1 is as follows:

[0084] For active energy, the power compensation data (t1-t0). Furthermore, when P 补 When P is a positive number, 补 As the power consumption compensation data corresponding to the data value of the positive active electric energy; when P 补 When P is negative, 补 The power consumption compensation data corresponding to the data value of reverse active electric energy.

[0085] For reactive energy, the power compensation data (t1-t0), where can be Further, when Q 补 When Q is positive, 补 As the power consumption compensation data corresponding to the data value of the positive reactive power; when Q 补 When Q is negative, 补 The power consumption compensation data corresponding to the data value of reverse reactive electric energy.

[0086] In this way, the power consumption compensation data P from the storage time t0 to the power outage event time t1 can be accurately estimated. 补 / Q 补 .

[0087] See also Figure 5 In some embodiments, the electricity storage data includes multiple sub-electricity storage data of different time periods. Calculating electricity settlement data (ie 044) based on the electricity storage data and the electricity compensation data includes:

[0088] 0441: Determine the current time period of the power outage event;

[0089] 0442: Accumulate the sub-power consumption storage data and the power consumption compensation data corresponding to the current time period to obtain the power consumption settlement data corresponding to the current time period;

[0090] 0443: Use the sub-power consumption storage data corresponding to the non-current time period as the power consumption settlement data corresponding to the non-current time period;

[0091] 0444: Add the electricity consumption settlement data corresponding to the current time period and the electricity consumption settlement data corresponding to the non-current time period to obtain the total electricity consumption settlement data corresponding to multiple different time periods.

[0092] Specifically, taking multiple different time periods including a peak time period, a peak time period, a flat time period, and a valley time period as an example, the electricity consumption storage data includes the sub-electricity consumption storage data of the peak time period, the peak time period, the flat time period, and the valley time period, that is, the data value P of the electricity consumption in the peak time period 尖 , the data value of power consumption during peak time period P 峰 , the data value of power consumption during normal time period P 平 , the data value of electricity consumption during the off-peak period P 谷 .

[0093] The data collection terminal 101 determines whether the current time period in which the power outage event time t1 is located is a peak time period, a flat time period, or a valley time period.

[0094] If the current time period of the power outage event time t1 is a peak time period, the data collection terminal 101 will record the data value P of the power consumption in the peak time period 尖 And the power compensation data P 补 (Take active power as an example, the same is true for reactive power) accumulate and obtain the power consumption settlement data P during the peak time period 尖 ', that is, P 尖 '=P 尖 +P 补 At the same time, the peak time period power consumption data value P 峰 As the electricity consumption settlement data corresponding to the peak time period P 峰 ', that is, P 峰 '=P 峰 ; The data value of power consumption during the normal time period P 平 As the electricity consumption settlement data corresponding to the normal time period P 平 ', that is, P 平 '=P 平 ; The data value of electricity consumption during the valley period P 谷 As the electricity consumption settlement data corresponding to the valley time period P 谷 ', that is, P 谷 '=P 谷 .

[0095] If the current time period of the power outage event time t1 is a peak time period, the data collection terminal 101 will record the data value P of the peak time period power consumption 峰 And the power compensation data P 补 Accumulate and obtain the electricity consumption settlement data P during the peak period 峰 ', that is, P 峰 '=P 峰 +P 补 At the same time, the peak time period power consumption data value P 尖 As the electricity consumption settlement data P corresponding to the peak time period 尖 ', that is, P 尖 '=P 尖 ; The data value of power consumption during the normal time period P 平 As the electricity consumption settlement data corresponding to the normal time period P 平 ', that is, P 平 '=P 平 ; The data value of electricity consumption during the valley period P 谷 As the electricity consumption settlement data corresponding to the valley time period P 谷 ', that is, P 谷 '=P 谷 .

[0096] If the current time period of the power outage event time t1 is a normal time period, the data collection terminal 101 will record the data value P of the power consumption in the normal time period. 平 And the power compensation data P 补 Accumulate and get the electricity consumption settlement data P during the peak period 平 ', that is, P 平 '=P 平 +P 补 At the same time, the peak time period power consumption data value P 尖 As the electricity consumption settlement data P corresponding to the peak time period 尖 ', that is, P 尖 '=P 尖 ; The peak time period power consumption data value P 峰 As the electricity consumption settlement data corresponding to the peak time period P 峰 ', that is, P 峰 '=P 峰 ; The data value of electricity consumption during the valley period P 谷 As the electricity consumption settlement data corresponding to the valley time period P 谷 ', that is, P 谷 '=P 谷 .

[0097] If the current time period of the power outage event time t1 is a valley time period, the data collection terminal 101 will record the data value P of the valley time period power consumption 谷 And the power compensation data P 补 Accumulate and get the electricity consumption settlement data P during the off-peak period谷 ', that is, P 谷 '=P 谷 +P 补 At the same time, the peak time period power consumption data value P 尖 As the electricity consumption settlement data corresponding to the peak time period P 尖 ', that is, P 尖 '=P 尖 ; The peak time period power consumption data value P 峰 As the electricity consumption settlement data corresponding to the peak time period P 峰 ', that is, P 峰 '=P 峰 ; The data value of power consumption during the normal time period P 平 As the electricity consumption settlement data corresponding to the normal time period P 平 ', that is, P 平 '=P 平 .

[0098] In addition, the collection terminal 101 collects the electricity consumption settlement data P during the peak time period. 尖 ', the electricity settlement data corresponding to the peak time period P 峰 ', electricity settlement data corresponding to the normal time period P 平 ', the electricity consumption settlement data corresponding to the off-peak period P 谷 'Accumulate and obtain the total electricity consumption settlement data P corresponding to multiple different time periods 总 , that is, P 总 =P 尖 '+P 峰 '+P 平 '+P 谷 '.

[0099] In this way, the electricity consumption storage data can be compensated accordingly according to the current time period of the power outage event to obtain accurate electricity consumption settlement data.

[0100] It should be noted that for the positive active power, the positive reactive power, the reverse active power, and the reverse reactive power, there is a corresponding set of data values ​​P of the power consumption in the peak time period. 尖 , the data value of power consumption during peak time period P 峰 , the data value of power consumption during normal time period P 平 , the data value of electricity consumption during the off-peak period P 谷 When compensating the stored power consumption data, the forward active power, the forward reactive power, the reverse active power, and the reverse reactive power can be distinguished for data compensation. The power consumption compensation data P 补 / Q 补 It is determined according to the previous implementation and will not be repeated here.

[0101] See also Figure 5In some embodiments, the electricity settlement data and the power outage event information are sent to the power server 102 (ie, 050), including:

[0102] 051: Send the electricity settlement data corresponding to the current time period, the electricity settlement data corresponding to the non-current time period, the total electricity settlement data corresponding to multiple different time periods, and the power outage event information to the power server 102.

[0103] Specifically, the collection terminal 101 converts the electricity consumption settlement data group (P 尖 '、P 峰 '、P 平 '、P 谷 '、P 总 ), and the power outage event information is sent to the power server 102.

[0104] Among them, for positive active power, positive reactive power, reverse active power, and reverse reactive power, there are corresponding power settlement data groups. That is to say, the acquisition terminal 101 sends a total of four power settlement data groups corresponding to positive active power, positive reactive power, reverse active power, and reverse reactive power (P 尖 '、P 峰 '、P 平 '、P 谷 '、P 总 ) and the power outage event information are sent to the power server 102 so as to accurately calculate the power consumption and settle the electricity bill.

[0105] See also Figure 2 and Figure 6 , the embodiment of the present application also provides a data processing device 100. The data processing device 100 is applied to the collection terminal 101. The collection terminal 101 is respectively connected to the power server 102 and the electric energy meter 103 in communication. The data processing device 100 includes a first receiving module 10, a collection module 20, a second receiving module 30, a determination module 40 and a sending module 50. The first receiving module 10 is used to receive a high-frequency collection instruction issued by the power server 102. The collection module 20 is used to collect electricity metering data from the electric energy meter 103 at a high frequency according to the high-frequency collection instruction, and store it in the collection terminal 101. The second receiving module 30 is used to receive the power outage event information reported by the electric energy meter 103 when a power outage event occurs. The determination module 40 is used to determine the electricity settlement data according to the electricity metering data and the power outage event information. The sending module 50 is used to send the electricity settlement data and the power outage event information to the power server 102.

[0106] In some implementations, the first receiving module 10 is specifically configured to receive the high-frequency acquisition parameters and the high-frequency acquisition period sent by the power server 102 .

[0107] In some embodiments, the high-frequency acquisition parameters include one or more of voltage data, current data, power factor, forward active power energy, forward reactive power energy, reverse active power energy, reverse reactive power energy, peak time period power consumption, flat time period power consumption, and valley time period power consumption.

[0108] In some embodiments, the power outage event information includes the power outage event time. The determination module 40 is specifically used to: obtain the most recent power consumption storage data before the power outage event time from the power consumption metering data; obtain the storage time corresponding to the power consumption storage data; calculate the power consumption compensation data from the storage time to the power outage event time; and calculate the power consumption settlement data based on the power consumption storage data and the power consumption compensation data.

[0109] In some embodiments, the electricity storage data includes voltage data value, current data value and power factor value. The determination module 40 is specifically used to calculate the electricity compensation data according to the voltage data value, current data value, power factor value, storage time and power outage event time.

[0110] In some embodiments, the electricity storage data includes sub-electricity storage data of multiple different time periods. The determination module 40 is specifically used to: determine the current time period in which the power outage event occurs; add the sub-electricity storage data corresponding to the current time period to the electricity compensation data to obtain the electricity settlement data corresponding to the current time period; use the sub-electricity storage data corresponding to the non-current time period as the electricity settlement data corresponding to the non-current time period; add the electricity settlement data corresponding to the current time period and the electricity settlement data corresponding to the non-current time period to obtain the total electricity settlement data corresponding to multiple different time periods.

[0111] In some embodiments, the sending module 50 is specifically used to send electricity settlement data corresponding to the current time period, electricity settlement data corresponding to non-current time periods, total electricity settlement data corresponding to multiple different time periods, and power outage event information to the power server 102.

[0112] It should be noted that the explanation of the data processing method in the aforementioned embodiment is also applicable to the data processing device 100 in the embodiment of the present application, and will not be elaborated here.

[0113] See also Figure 7 The embodiment of the present application further provides a collection terminal 101. The collection terminal 101 includes one or more processors 1011 and a memory 1012. The memory 1012 stores a computer program. When the computer program is executed by the processor 1011, the data processing method of any of the above embodiments is implemented.

[0114] For example, when the computer program is executed by the processor 1011, the following data processing method is implemented:

[0115] 010: receiving a high frequency collection instruction issued by the power server 102;

[0116] 020: Collecting electricity consumption data from the electric energy meter 103 at high frequency according to the high frequency collection instruction, and storing it in the collection terminal 101;

[0117] 030: receiving power outage event information reported by the electric energy meter 103 when a power outage event occurs;

[0118] 040: Determine electricity settlement data based on electricity metering data and power outage event information;

[0119] 050: Sending electricity consumption settlement data and power outage event information to the power server 102.

[0120] For another example, when the computer program is executed by the processor 1011, the following data processing method is implemented:

[0121] 041: Obtain the most recent electricity consumption storage data before the power outage event from the electricity consumption metering data;

[0122] 042: Obtain the storage time corresponding to the power storage data;

[0123] 043: Calculate the electricity compensation data from the storage time to the power outage event time;

[0124] 044: Calculate electricity settlement data based on electricity storage data and electricity compensation data.

[0125] It should be noted that the explanation of the data processing method in the aforementioned embodiment is also applicable to the collection terminal 101 in the embodiment of the present application, and will not be elaborated here.

[0126] See also Figure 8 The embodiment of the present application also provides a computer-readable storage medium 200 on which a computer program 210 is stored. When the program is executed by a processor 220, the data processing method of any of the above embodiments is implemented.

[0127] For example, when the program is executed by the processor 220, the following data processing method is implemented:

[0128] 010: receiving a high frequency collection instruction issued by the power server 102;

[0129] 020: Collecting electricity consumption data from the electric energy meter 103 at high frequency according to the high frequency collection instruction, and storing it in the collection terminal 101;

[0130] 030: receiving power outage event information reported by the electric energy meter 103 when a power outage event occurs;

[0131] 040: Determine electricity settlement data based on electricity metering data and power outage event information;

[0132] 050: Sending electricity consumption settlement data and power outage event information to the power server 102.

[0133] For another example, when the program is executed by the processor 220, the following data processing method is implemented:

[0134] 041: Obtain the most recent electricity consumption storage data before the power outage event from the electricity consumption metering data;

[0135] 042: Obtain the storage time corresponding to the power storage data;

[0136] 043: Calculate the electricity compensation data from the storage time to the power outage event time;

[0137] 044: Calculate electricity settlement data based on electricity storage data and electricity compensation data.

[0138] It should be noted that the explanation of the data processing method in the aforementioned embodiment is also applicable to the computer-readable storage medium 200 in the embodiment of the present application, and will not be elaborated here.

[0139] In summary, in the data processing method, data processing device 100, collection terminal 101 and computer-readable storage medium 200 of the implementation mode of the present application, the collection terminal 101 collects electricity metering data from the electric energy meter 103 at a high frequency. When a power outage occurs to the electric energy meter 103, the collection terminal 101 determines the electricity settlement data based on the electricity metering data and the power outage event information, and sends the electricity settlement data and the power outage event information to the power server 102. In this way, when a power outage occurs to the electric energy meter 103, the electricity settlement data can be obtained accurately and efficiently, and there is no need to send staff to the site to transcribe, thereby achieving the purpose of saving labor costs and reducing management complexity. In addition, there is no need to worry about the aging of the backup battery of the electric energy meter 103.

[0140] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0141] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0142] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a computer-readable storage medium can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0143] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0144] A person of ordinary skill in the art will appreciate that all or part of the steps carried by the method for implementing the above-mentioned embodiment can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment. In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a disk or an optical disk, etc.

[0145] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application. The scope of the present application is defined by the claims and their equivalents.

Claims

1. A data processing method, characterized in that: Applied to a data collection terminal, the data collection terminal is respectively connected to a power server and an electric energy meter for communication, and the data processing method includes: Receiving a high-frequency acquisition instruction issued by the power server; According to the high-frequency collection instruction, the electric energy meter collects the electric energy metering data at high frequency, and stores the data in the collection terminal; Receiving power outage event information reported by the electric energy meter when a power outage event occurs; Determine electricity settlement data based on the electricity metering data and the power outage event information; The electricity consumption settlement data and the power outage event information are sent to the power server.

2. The data processing method according to claim 1, characterized in that: The receiving the high-frequency acquisition instruction issued by the power server includes: Receive the high-frequency acquisition parameters and high-frequency acquisition period sent by the power server.

3. The data processing method according to claim 2, characterized in that: The high-frequency acquisition parameters include one or more of voltage data, current data, power factor, forward active power, forward reactive power, reverse active power, reverse reactive power, peak time period power consumption, flat time period power consumption, and valley time period power consumption.

4. The data processing method according to claim 1, characterized in that: The power outage event information includes the power outage event time, and the determining of the power consumption settlement data according to the power consumption metering data and the power outage event information includes: Acquire the most recent electricity consumption storage data before the power outage event from the electricity consumption metering data; Obtaining storage time corresponding to the electricity consumption storage data; Calculating electricity consumption compensation data from the storage time to the power outage event time; The electricity consumption settlement data is calculated according to the electricity consumption storage data and the electricity consumption compensation data.

5. The data processing method according to claim 4, characterized in that: The power consumption storage data includes voltage data value, current data value and power factor value, and the calculation of power consumption compensation data from the storage time to the power outage event time includes: The power consumption compensation data is calculated according to the voltage data value, the current data value, the power factor value, the storage time and the power outage event time.

6. The data processing method according to claim 4, characterized in that: The electricity storage data includes a plurality of sub-electricity storage data in different time periods, and the electricity settlement data is calculated according to the electricity storage data and the electricity compensation data, including: Determine the current time period of the power outage event; Accumulate the sub-power consumption storage data and the power consumption compensation data corresponding to the current time period to obtain the power consumption settlement data corresponding to the current time period; Using the sub-power consumption storage data corresponding to the non-current time period as the power consumption settlement data corresponding to the non-current time period; The electricity consumption settlement data corresponding to the current time period and the electricity consumption settlement data corresponding to the non-current time period are accumulated to obtain the total electricity consumption settlement data corresponding to the multiple different time periods.

7. The data processing method according to claim 6, characterized in that: The sending the electricity settlement data and the power outage event information to the power server includes: The electricity settlement data corresponding to the current time period, the electricity settlement data corresponding to the non-current time period, the total electricity settlement data corresponding to the multiple different time periods, and the power outage event information are sent to the power server.

8. A data processing device, characterized in that: Applied to a data collection terminal, the data collection terminal is respectively connected to a power server and an electric energy meter for communication, and the data processing device comprises: A first receiving module, used to receive a high-frequency acquisition instruction issued by the power server; A collection module, used for collecting electricity consumption metering data from the electric energy meter at high frequency according to the high-frequency collection instruction, and storing the data in the collection terminal; A second receiving module is used to receive the power outage event information reported by the electric energy meter when a power outage event occurs; A determination module, configured to determine electricity settlement data according to the electricity metering data and the power outage event information; A sending module is used to send the electricity settlement data and the power outage event information to the power server.

9. A collection terminal, characterized in that: The acquisition terminal includes one or more processors and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the data processing method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the data processing method described in any one of claims 1 to 7 is implemented.

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