CN111596125B - Method, device and equipment for determining power generation capacity and storage medium - Google Patents

Method, device and equipment for determining power generation capacity and storage medium Download PDF

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CN111596125B
CN111596125B CN202010259459.9A CN202010259459A CN111596125B CN 111596125 B CN111596125 B CN 111596125B CN 202010259459 A CN202010259459 A CN 202010259459A CN 111596125 B CN111596125 B CN 111596125B
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time period
time
power generation
change rate
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CN111596125A (en
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张迪
胡文纲
刘碧芸
孙捷
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R22/00Arrangements for measuring time integral of electric power or current, e.g. electricity meters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R11/00Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
    • G01R11/02Constructional details
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/35Utilities, e.g. electricity, gas or water
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring

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Abstract

The application discloses a method, a device, equipment and a storage medium for determining generated energy, and relates to the technical field of electric quantity measurement. The method comprises the following steps: periodically collecting meter reading of power generation equipment in a preset time period through an electric meter; calculating a first rate of change of the table reading for each sub-period; determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the table reading in the effective sub-time periods is larger than zero and smaller than a candidate sub-time period of a change rate threshold value; calculating the variation of the table reading in each effective sub-time period to obtain n table reading differences; and multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective generating capacity of the generating equipment. The method determines the effective time period of the reading of the electric meter from the preset time period based on the change rate of the reading of the electric meter, calculates the electric quantity increment in the effective time period to obtain the accurate effective generated energy in the preset time period, and avoids the condition of inaccurate calculation of the generated energy caused by the jump of the electric meter.

Description

Method, device and equipment for determining power generation capacity and storage medium
Technical Field
The present disclosure relates to the field of power measurement technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining power generation.
Background
In an electric power system, an electric meter is indispensable as electric quantity acquisition equipment; for example, in the field of new energy power generation, an electric meter is one of devices for remotely monitoring power generation conditions in a power station.
Under the remote monitoring scene to the electricity generation condition in the power station, generally through internet of things collection ammeter data and upload to the high in the clouds server, calculate the back with the result propelling movement to the user side by the high in the clouds server to the generated energy, convenience of customers knows the electricity generation condition in the power station in real time. Generally, the generated energy in a certain period of time is calculated, and a method of subtracting the readings of the electric meter from the head and the tail and multiplying the readings by the multiplying power of the electric meter is adopted.
Although the method can calculate the power generation amount, when the reading of the electric meter jumps, the error between the calculated power generation amount and the actual power generation amount is large.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for determining the generating capacity, which can realize accurate calculation of the generating capacity in a preset time period and avoid the condition of inaccurate calculation of the generating capacity caused by jumping of an ammeter. The technical scheme is as follows:
according to an aspect of the present application, there is provided a method of determining power generation amount, applied to an electronic device, the method including:
periodically collecting meter reading of an electric meter of power generation equipment in a preset time period through the electric meter, wherein the preset time period comprises m sub-time periods;
calling a first preset algorithm to calculate a first change rate of the table reading in each sub-time period;
determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the reading number in the effective sub-time periods is larger than zero and smaller than a change rate threshold value, and the change rate threshold value is preset in the server;
calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading difference values;
and multiplying the sum of the reading differences of the n meters by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in a preset time period, wherein n is less than or equal to m, and m and n are positive integers.
According to another aspect of the present application, there is provided an apparatus for determining an amount of power generation, the apparatus including:
the acquisition module is used for periodically acquiring meter reading of an ammeter of power generation equipment within a preset time period through the ammeter, wherein the preset time period comprises m sub-time periods;
the calculation module is used for calling a first preset algorithm to calculate a first change rate of the table reading in each sub-time period;
the determining module is used for determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the reading in the effective sub-time periods is greater than zero and smaller than a change rate threshold value, and the change rate threshold value is preset in the server;
the calculation module is used for calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading difference values; and multiplying the sum of the difference values of the n meter readings by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in a preset time period, wherein n is less than or equal to m, and m and n are positive integers.
According to another aspect of the present application, there is provided a server including:
a memory, a processor coupled to the memory;
a processor configured to load and execute executable instructions stored in the memory to implement the method of determining power generation according to the above aspect and its alternative embodiments.
According to another aspect of the present application, there is provided a computer-readable storage medium having stored therein at least one instruction, at least one program, code set, or set of instructions that is loaded and executed by a processor to implement the method of determining an amount of electric power generation as set forth in the above-described one aspect and its optional embodiments.
The beneficial effects that technical scheme that this application embodiment brought include at least:
the method comprises the steps that meter reading of an ammeter of power generation equipment in a preset time period is periodically collected through the ammeter, wherein the preset time period comprises m sub-time periods; calling a first preset algorithm to calculate a first change rate of the table reading in each sub-period; determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the reading in the effective sub-time periods is larger than zero and smaller than a change rate threshold value; calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading difference values; and multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in a preset time period. The method comprises the steps of determining a time period in which the meter reading is valid from a preset time period based on the change rate of the meter reading of the electricity meter of the power generation equipment, eliminating the time period in which the meter reading is invalid due to the jump of the electricity meter, and calculating the increment of the electric quantity in the valid time period to obtain accurate effective generated energy in the preset time period, so that the condition of inaccurate calculation of the generated energy caused by the jump of the electricity meter is avoided.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a system of things-over-the-internet provided by an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method of determining power generation provided by an exemplary embodiment of the present application;
FIG. 3 is a flow chart of a method of determining power generation provided by another exemplary embodiment of the present application;
FIG. 4 is an interface diagram illustrating a method for determining valid sub-periods according to an exemplary embodiment of the present application;
FIG. 5 is an interface diagram illustrating a method for determining valid sub-periods according to another exemplary embodiment of the present application;
fig. 6 is a flowchart of a method of determining power generation provided by another exemplary embodiment of the present application;
fig. 7 is a block diagram of a determination apparatus of an electric power generation amount provided in an exemplary embodiment of the present application;
fig. 8 is a schematic structural diagram of a server according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The explanations for words involved in this application are as follows:
the Internet of Things (IoT): the intelligent sensing, identifying and managing system is characterized in that any object or process needing monitoring, connection and interaction is collected in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and the like, various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, positions and the like is collected, ubiquitous connection of objects and objects, and ubiquitous connection of objects and people are realized through various possible network accesses, and intelligent sensing, identifying and managing of the objects and the processes are realized. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
Meter reading of the electricity meter: which represents the cumulative amount of power generation by the power generation equipment from a preset time. The electricity meter measures the amount of electricity generated by the electricity generating equipment from zero from a preset time, and therefore the meter reading fed back by the electricity meter into the computer equipment represents the accumulated amount of electricity generated by the electricity generating equipment from the preset time. For example, when the electricity meter measures the amount of electricity generated by the power generation facility in units of time of the week and starts to measure from zero from the zero point of the first day (monday), the meter reading of the electricity meter at each time of the week indicates the cumulative amount of electricity generated by the power generation facility at the current time of the week.
Rate of change: is the ratio of the increment of the meter reading to the corresponding time increment, and is used for indicating the power generation rate of the power generation equipment at the ith moment. E.g. at t 1 Time of day table reading P 1 At t 2 Time of day table reading P 2 Then at t 1 And t 2 The average rate of change of the table reading in the time period therebetween is (P) 2 -P 1 )/(t 2 -t 1 ) Wherein, t 1 <t 2 ,P 1 <P 2 I.e. t 1 Less than t 2 ,P 1 Less than P 2 "-" is a minus sign, and "/" isAnd (4) eliminating the number.
In general, a server calculates the generated energy in a preset time period, and a method of subtracting the head and the tail of the meter reading of the electric meter and multiplying the result by the multiplying power of the electric meter is adopted; once the acquired meter reading jumps, particularly, the meter reading jumps from beginning to end, the method may cause a large error in the calculation of the power generation amount, so that, in order to avoid inaccurate calculation of the power generation amount caused by the jump of the meter reading, the present application provides a method for determining the power generation amount, and details of implementation of the method refer to the following embodiments.
For example, the method for determining the power generation amount may be applied to the internet of things, please refer to fig. 1, which shows a schematic diagram of an internet of things system according to an embodiment of the present application. The internet of things system 100 may include: a server cluster 101 and an internet of things device 102.
The server cluster 101 is a cluster in which a plurality of servers are collected for calculating and storing data information. In the embodiment of the present application, the server cluster 101 includes at least one server. The internet of things device 102 refers to a physical device having internet of things communication capability.
In this embodiment, the server cluster 101 includes an internet of things platform, and the internet of things platform stores meter readings of the electric meter of the internet of things device 102. Optionally, the electric meter may be an electric power generation amount detection device of the internet of things device 102. Optionally, the internet of things device 102 may send meter readings or other information of the electric meter correspondingly set to the internet of things platform.
Optionally, the internet of things device 102 may include a power generation device, such as a wind power generation device, a solar power generation device, a water power generation device, and the like. The internet of things platform stores an electric quantity measuring method, for example, the method for determining the electric quantity provided by the application; the Internet of things platform can determine the generated energy of the power generation equipment in a preset time period based on the reading of the electric meter connected with the power generation equipment.
Optionally, the internet of things device 102 may also be a power utilization device, such as a fan, a power converter, a production device, a monitoring device, a processing device, an air conditioner, a refrigerator, a computer, and the like. The electric meter can also be electricity consumption detection equipment of the internet of things equipment 102. The electric quantity measuring method can also comprise a method for determining the electricity consumption; the Internet of things platform can determine the power consumption of the electric equipment in a preset time period based on the reading of the electric equipment connected with the electric meter.
The internet of things platform may also push prompt information to the terminal, where the prompt information may include at least one of a power consumption amount and a power generation amount of the internet of things device 102 in a preset time period. Optionally, the terminal may include a device that logs in a user account of the internet of things platform, and may further include a device that is bound to the user account of the internet of things platform.
It should be noted that the internet of things platform may be deployed in one or more servers, which is not limited in the embodiment of the present application. The server cluster 101 may also be other internet of things nodes having functions of receiving information uploaded by the internet of things device 102 and processing the information. For example: routers, gateways, etc.
Optionally, the server cluster 101 and the internet of things device 102 are connected in a tree topology structure, where the internet of things device 102 is located at a leaf node, and the server cluster 101 is located at a branch node and a root node of a non-leaf node.
The internet of things device 102 and the server cluster 101 are connected through a network, which may be a wired network or a wireless network. For example, the internet of things device 102 and the server cluster 101, and the server cluster 101 may be connected in a manner from the internet of things device to the internet of things device, that is, in a point-to-point (Ad-Hoc) manner; or may connect under the coordination of a base station or an Access Point (AP), which is not limited in this embodiment of the present application.
Those skilled in the art will appreciate that the number of the server clusters 101 or the internet of things devices 102 may be greater or smaller. For example, the number of the server cluster 101 or the internet of things device 102 may be only one, or the number of the server cluster 101 or the internet of things device 102 may be tens of or hundreds, or more. The number and types of the server clusters 101 or the internet of things devices 102 are not limited in the embodiments of the present application.
Referring to fig. 2, a flow chart of a method for determining power generation provided by an exemplary embodiment of the present application is shown. The method is applied to the server shown in FIG. 1, and comprises the following steps:
step 201, periodically collecting meter reading of an electric meter of the power generation equipment in a preset time period through the electric meter.
The meter reading is sent to the server by the power generation equipment in the Internet of things system through a wired or wireless network. Schematically, the power generation equipment in the internet of things system is provided with an information acquisition module and a communication module; the power generation equipment periodically obtains meter reading of the electric meter within a preset time period through the information acquisition module, and uploads the meter reading to the server through the communication module; or the power generation equipment continuously acquires meter readings of the electric meter through the information acquisition module and uploads the meter readings to the server, and the server acquires at least two meter readings in a preset time period from the meter readings according to a preset period. The meter reading is the meter reading of the electricity meter of the power generation equipment at the reading time.
Illustratively, the preset time period is a specified continuous time period, for example, the preset time period may be 0 hour to 24 hours of a day, and the duration of the preset time period may also be 1 hour, 6 hours, one day, one week, one month, or even one year, and the duration of the preset time period is not limited in this application.
The preset time period comprises m sub-time periods. Optionally, the server divides the preset time period into m sub-time periods according to a preset cycle. Illustratively, if m +1 meter readings are acquired within a preset time period according to a preset cycle, the acquisition time corresponding to the m +1 meter readings is determined as m +1 time nodes, and the preset time period is divided into m sub-time periods based on the m +1 time nodes.
Or, the server is provided with a preset time length of the sub-time period; the server divides the preset time period into m sub-time periods with the preset time duration; it should be noted that, by dividing the preset time period based on this method, it is required to ensure that a meter reading exists at each of the two moments of each sub-time period. Optionally, the preset time period may be a time period of a preset period.
Step 202, a first preset algorithm is called to calculate a first change rate of the table reading in each sub-period.
The server is provided with a first preset algorithm, and the first preset algorithm is used for calculating the change rate of the meter reading in a preset time period.
Optionally, the server invokes a first preset algorithm to calculate an average change rate of the table readings in each of the m sub-time periods, that is, to obtain a first change rate. Illustratively, during a sub-period of time (t) 1 ,t 2 ) Inner, head end time t 1 Corresponding meter reading is P j1 Time t of tail end 2 Corresponding meter reading P j2 Then (t) 1 ,t 2 ) The average rate of change L of the inner surface readings is (P) j2 -P j1 )/(t 2 -t 1 )。
And step 203, determining n effective sub-time periods in the preset time period based on the first change rate.
And the change rate of the table reading in the effective sub-time period is greater than zero and less than a change rate threshold value. The above-mentioned change rate threshold is preset in the server, and is used for determining a time period in which the meter reading is valid, i.e., a valid sub-time period, from within the preset time period.
It should be noted that, for the inverter, the set change rate threshold may be a product of the capacity of the inverter component multiplied by 2; for an electricity meter, the set rate of change threshold may be a slope (slope) configured in the electricity meter.
Optionally, the server may further determine n candidate sub-time periods in which the first change rate is greater than zero and smaller than the change rate threshold as valid sub-time periods within a preset time period. Wherein n is less than or equal to m, and m and n are positive integers.
And 204, calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading differences.
The second preset algorithm is used for calculating the variation of the table reading in the valid sub-period. And calling a second preset algorithm by the server to respectively calculate the variation of the table reading in each effective sub-time period in the n effective sub-time periods so as to obtain n table reading difference values.
Illustratively, the server calculates the difference between the head and tail meter readings in the jth valid sub-time period, and the absolute value of the difference between the head and tail meter readings is the meter reading difference in the jth valid sub-time period. For example, during the valid sub-period (t) 1 ,t 2 ) Inner, head end time t 1 Corresponding meter reading P j1 At the end time t 2 Corresponding meter reading is P j2 Then (t) 1 ,t 2 ) The inner surface reading has a variation of (P) j2 -P j1 ) I.e. (t) 1 ,t 2 ) Inner meter reading difference P 1 Is (P) j2 -P j1 ) And j is a positive integer.
And step 205, multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective power generation amount of the power generation equipment in the preset time period.
Illustratively, the predetermined time period is (t) 1 ,t 5 ) Instant t 1 And time t 5 Time period in between, (t) 1 ,t 5 ) Includes (t) 1 ,t 2 )、(t 2 ,t 4 ) And (t) 4 ,t 5 ) Three valid sub-periods of time; is calculated to obtain (t) 1 ,t 2 ) The variable quantity of the inner surface reading is P 1 Is calculated to obtain (t) 2 ,t 4 ) The variable quantity of the inner surface reading is P 2 Calculating to obtain (t) 4 ,t 5 ) The variable quantity of the inner surface reading is P 3 Obtaining the difference value of the readings of the three meters as P 1 、P 2 、P 3 (ii) a The sum of the reading differences of the power generation equipment in the preset time period is P 1 +P 2 +P 3 (ii) a Since the meter reading on the electricity meter is set based on the multiplying factor, the sum of the difference values of the meter reading is multiplied by the multiplying factor of the electricity meter to obtain the effective power generation amount.
In summary, in the method for determining the power generation amount provided by this embodiment, the meter reading of the electric meter of the power generation equipment in the preset time period is periodically collected by the electric meter; calling a first preset algorithm to calculate a first change rate of the table reading in each sub-period; determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the reading in the effective sub-time periods is larger than zero and smaller than a change rate threshold value; calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading difference values; and multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in the preset time period. The method comprises the steps of determining a time period in which the meter reading is valid from a preset time period based on the change rate of the meter reading of the electricity meter of the power generation equipment, eliminating the time period in which the meter reading is invalid due to the jump of the electricity meter, and calculating the increment of the electric quantity in the valid time period to obtain accurate effective generated energy in the preset time period, so that the condition of inaccurate calculation of the generated energy caused by the jump of the electricity meter is avoided.
Based on the embodiment shown in fig. 2, the server may further perform secondary confirmation on the valid sub-time period for the valid sub-time period, so as to improve the accuracy of the confirmation on the valid sub-time period, illustratively, step 203 may include steps 2031 to 2034, as shown in fig. 3, the steps are as follows:
step 2031, determine the sub-period with the first rate of change greater than zero and less than the rate of change threshold as the first sub-period.
The effective sub-time period comprises a first sub-time period and a second sub-time period, and the server determines the sub-time period with the first change rate larger than zero and smaller than the change rate threshold value as the first sub-time period; the server also performs steps 2032 to 2034 to determine a second sub-period of time.
Step 2032, the other sub-time periods except the first sub-time period are divided again to obtain candidate sub-time periods.
Illustratively, other sub-time periods are re-divided by an interval duration with a larger granularity, for example, if the interval duration between two end times of a sub-time period is a, the server re-divides other sub-time periods by an interval duration between two end times of 2a, so as to obtain the re-divided sub-time periods, that is, candidate sub-time periods.
Optionally, the server repartitions other sub-periods of time, which may also be implemented by:
1) and determining the moments at the two ends of other sub-time periods to obtain k time nodes.
Illustratively, there are other sub-periods (T) than the first sub-period 1 ,T 2 )、(T 2 ,T 3 )、(T 3 ,T 4 ) And (T) 4 ,T 5 ) Then 5 time nodes are obtained, which are T respectively 1 、T 2 、T 3 、T 4 And T 5
2) And determining the time nodes existing in the valid sub-time period from the k time nodes and the time nodes with the left-side change rate not being zero and the right-side change rate being zero as valid time nodes.
Wherein the left-side rate of change refers to a first rate of change of the table reading in the adjacent sub-period before the chronologically significant time node, and the right-side rate of change refers to a first rate of change of the table reading in the adjacent sub-period after the chronologically significant time node.
Illustratively, as shown in FIG. 4, the valid sub-period comprises (t) 1 ,t 2 ) And (t) 4 ,t 5 ) The other sub-periods include (t) 2 ,t 3 ) And (t) 3 ,t 4 ) Time nodes in other sub-periods include t 2 、t 3 、t 4 (ii) a Wherein, t 2 Both belonging to other sub-periods (t) 2 ,t 3 ) Again, as valid sub-period (t) 1 ,t 2 ) Then t will be 2 Determining as a valid time node; t is t 4 Both belonging to other sub-periods (t) 3 ,t 4 ) And belongs to the valid sub-period (t) 4 ,t 5 ) Then t will be 2 Determined to be a valid time node.
Illustratively, as shown in FIG. 5, the other sub-periods include (T) 1 ,T 2 )、(T 2 ,T 3 )、(T 3 ,T 4 )、(T 4 ,T 5 )、(T 5 ,T 6 )、(T 6 ,T 7 )、(T 7 ,T 8 ) And (T) 8 ,T 9 ) Correspondingly, the time node comprises T 1 、T 2 、T 3 、T 4 、T 5 、T 6 、T 7 、T 8 And T 9 . Wherein, T 2 Both belonging to other sub-periods (T) 2 ,T 3 ) And belongs to the valid sub-period (T) 1 ,T 2 ) Then T is 2 Is a valid time node; t is 6 Other sub-periods (T) of the left side 5 ,T 6 ) The first rate of change in inner is not zero, i.e. the rate of change on the left side is not zero, T 6 Other sub-periods (T) on the right 6 ,T 7 ) The first rate of change in inner is zero, i.e. the rate of change on the right is zero, then T 6 Is an effective time node; t is 8 Other sub-periods (T) on the left 7 ,T 8 ) The first rate of change in inner is not zero, i.e. the rate of change on the left side is not zero, T 8 Other sub-periods (T) on the right 8 ,T 9 ) The first rate of change in inner is zero, i.e. the rate of change on the right is zero, then T 8 Is the active time node.
It should be noted that the server determines T 2 After the node is the valid time, T is calculated 2 And T 3 The rate of change of the meter reading in between is zero, then continue to calculate T 2 And T 4 The rate of change of meter reading in between; if T 2 And T 4 The rate of change of the meter reading in between is still zero, then the calculation of T continues 2 And T 5 The rate of change of meter reading in between; if T 2 And T 5 The rate of change of the meter reading in between is still zero, then the calculation of T continues 2 And T 6 The rate of change of meter reading in between; t is 2 And T 6 If the rate of change of the meter reading in between is not zero, then T will be 6 Determined as the valid time node. Based on the method, the server determines the effective time node T from the time nodes 2 、T 6 And T 8
3) And re-dividing other sub-time periods according to the effective time nodes to obtain candidate sub-time periods.
Illustratively, as shown in FIG. 4, the server determines (t) 1 ,t 2 )、(t 4 ,t 5 )、(t 5 ,t 6 )、(t 6 ,t 7 ) And (t) 7 ,t 8 ) Five candidate sub-time periods; then (t) 1 ,t 2 ) The two time nodes are respectively t 1 、t 2 ,(t 4 ,t 5 ) The two time nodes are respectively t 4 、t 5 ,(t 5 ,t 6 ) Two time nodes in the middle are t 5 、t 6 ,(t 6 ,t 7 ) Two time nodes in the middle are t 6 、t 7 ,(t 7 ,t 8 ) Two time nodes in the middle are t 7 、t 8 Total 10 time nodes, each being t 1 、t 2 、t 4 、t 5 、t 5 、t 6 、t 6 、t 7 、t 7 、t 8 (ii) a One of the repeated time nodes is removed to finally obtain 7 time nodes which are t respectively 1 、t 2 、t 4 、t 5 、t 6 、t 7 、t 8
Based on 7 time nodes t determined 1 、t 2 、t 4 、t 5 、t 6 、t 7 、t 8 Repartitioning the preset time period (t) 1 ,t 8 ) Obtaining 6 candidate sub-time periods after re-division, which are respectively (t) 1 ,t 2 )、(t 2 ,t 4 )、(t 4 ,t 5 )、(t 5 ,t 6 )、(t 6 ,t 7 ) And (t) 7 ,t 8 )。
Illustratively, the server pairs other sub-periods (T) 2 ,T 3 )、(T 3 ,T 4 )、(T 4 ,T 5 )、(T 5 ,T 6 )、(T 6 ,T 7 )、(T 7 ,T 8 )、(T 8 ,T 9 )、(T 9 ,T 10 )、(T 10 ,T 11 )、(T 11 ,T 12 ) And (T) 12 ,T 13 ) Re-dividing to obtain candidate sub-time periods (T) 2 ,T 6 )、(T 6 ,T 8 ) And (T) 8 ,T 13 )。
Step 2033, a first pre-set algorithm is invoked to calculate a second rate of change of the table readings within each candidate sub-period.
Optionally, the server invokes a first preset algorithm to calculate an average rate of change of the table readings over each candidate sub-period of time, i.e., a second rate of change is obtained.
Step 2034, determine the candidate sub-period with the second rate of change greater than zero and less than the rate of change threshold as the second sub-period.
Illustratively, the sub-period, the candidate sub-period, and the first sub-period and the second sub-period in the valid sub-period may be represented in a rectangular coordinate system to describe the determination process of the valid sub-period in detail, as shown in fig. 4, the preset time period (t) will be set 1 ,t 15 ) Dividing the time interval into 14 sub-time intervals, respectively calculating a first change rate of the table reading in each sub-time interval, determining the sub-time intervals with the first change rate larger than zero and smaller than a change rate threshold as first sub-time intervals, and connecting the head and tail table readings in the first sub-time intervals by one-time connecting lines, wherein the first sub-time intervals are (t) respectively 1 ,t 2 )、(t 4 ,t 5 )、(t 5 ,t 6 )、(t 6 ,t 7 )、(t 7 ,t 8 )、(t 8 ,t 9 )、(t 11 ,t 12 ) And (t) 14 ,t 15 ) (ii) a Connecting the head and tail meter readings of the non-candidate sub-time periods by using an invalid connecting line, wherein the other sub-time periods are respectively (t) 2 ,t 3 )、(t 3 ,t 4 )、(t 9 ,t 10 )、(t 10 ,t 11 )、(t 11 ,t 12 ) And (t) 12 ,t 13 ) (ii) a Determining t based on the 6 other sub-periods 2 、t 3 、t 4 、t 9 、t 10 、t 11 、t 12 And t 13 Totally 8 time nodes, and other sub-time periods are divided again to obtain candidate sub-timeSegment (t) 2 ,t 4 )、(t 9 ,t 11 ) And (t) 12 ,t 14 ) (ii) a Respectively calculating a second change rate of the table reading in each newly divided candidate sub-time period, determining the candidate sub-time period with the second change rate larger than zero and smaller than a change rate threshold value as a second sub-time period, and connecting the head and tail table readings in effective sub-time periods by secondary connecting lines, wherein the effective sub-time periods are respectively (t) 2 ,t 4 ) The reading of the head and tail meter of the non-effective sub-period is connected by the ineffective connecting line, and the non-effective sub-period is (t) 9 ,t 11 ) And (t) 12 ,t 14 )。
In summary, in the method for determining the power generation amount according to this embodiment, the preset time period is divided into a plurality of sub-time periods, and the effective sub-time period is determined by calculating the change rate of the table reading in the sub-time period, so that the calculation amount of the server on the change rate can be reduced, and the load burden of the server is reduced.
The method also divides other sub-time periods into candidate sub-time periods again, calculates the change rate of the table reading in the candidate sub-time periods, determines the effective sub-time period through judging the change rate of the table reading in the candidate sub-time periods twice, avoids misjudgment and improves the accuracy of the determined effective sub-time period.
It should be noted that the server may further perform multiple repartitioning on the non-valid time period, multiple redetermination of the valid sub-time period, and the secondary judgment is optimal by integrating the calculation efficiency of the server and consideration of the accuracy of the determined valid sub-time period.
It should be further noted that, under the condition that the reading of the electric meter does not jump, the electric energy generated by calculating the difference between the readings of the electric meter at the head end and the tail end within the preset time period is more accurate, so that the server can firstly judge the influence of the jump of the reading of the electric meter on the effective electric energy generated, and further determine the effective electric energy generated. Illustratively, as shown in fig. 6, step 205 may be replaced by steps 301 to 304, which are as follows:
step 301, calculating a difference value between meter readings corresponding to two end moments of a preset time period, and multiplying the difference value by a multiplying power of an electric meter to obtain a second power generation amount.
Illustratively, during a predetermined time period (t) 1 ,t 15 ) Inner, time t 1 Corresponding meter reading is P 1 Time t 15 Corresponding meter reading P 15 And then the second power generation amount P' 1 Is (P) 15 -P 1 ) S, where s represents the multiplying power of the meter and "+" represents the multiplication.
And step 302, calculating the proportion of the difference value between the second power generation amount and the first power generation amount to the first power generation amount.
The first electricity generation quantity is the product of the sum of the difference values of the n meter readings and the multiplying power of the electric meter; illustratively, with P' 2 The first power generation amount is represented, and the proportion is | (P' 2 -P’ 1 )|/P’ 2 Wherein, | (P' 2 -P’ 1 ) | represents an absolute value of a difference of the first power generation amount minus the second power generation amount.
And 303, responding to the proportion being larger than the preset proportion, determining the first power generation amount as the effective power generation amount of the power generation equipment in the preset time period.
The preset proportion is used for reflecting the error magnitude between the second power generation amount and the actual power generation amount. The server is preset with a preset proportion, if the proportion is larger than the preset proportion, the meter reading jumping of the electricity meter is shown, the calculation influence of the meter reading jumping on the second electricity generation amount is large, namely the error between the second electricity generation amount and the actual electricity generation amount is large, and the first electricity generation amount is determined to be the effective electricity generation amount in the preset time period.
In response to the proportion being less than or equal to the preset proportion, a second power generation amount is determined as an effective power generation amount in step 304.
If the ratio is smaller than or equal to the preset ratio, it indicates that there is no meter reading jump, or the meter reading jump has little influence on the calculation of the second power generation amount, and can be ignored, that is, the error between the second power generation amount and the actual power generation amount is small, and then the second power generation amount is determined as the effective power generation amount in the preset time period.
It should be noted that the calculation of the second power generation amount and the calculation of the first power generation amount may be performed simultaneously; or, the second power generation amount may be calculated first, and then the first power generation amount may be calculated; alternatively, the first power generation amount may be calculated first, and then the second power generation amount may be calculated. In this embodiment, the first power generation amount is calculated first, and then the second power generation amount is calculated as an example.
In summary, in the method for determining the power generation amount provided by this embodiment, the difference between the meter readings corresponding to the two end times of the preset time period is calculated to serve as the second power generation amount, and an error between the second power generation amount and the actual power generation amount is determined, if the error is small, the more accurate second power generation amount is determined as the effective power generation amount, and if the error is large, the first power generation amount is determined as the effective power generation amount, so that the obtained effective power generation amount is more accurate, the more accurate effective power generation amount can be provided for the user, and the user experience is improved.
Referring to fig. 7, a block diagram of an apparatus for determining an amount of power generation provided by an exemplary embodiment of the present application is shown, the apparatus being applied to a server; the device is realized by software, hardware or a combination of the two to become a part or all of the server, and comprises:
the acquisition module 401 is configured to periodically acquire, by an electric meter, meter readings of the electric meter of the power generation equipment within a preset time period, where the preset time period includes m sub-time periods;
a calculating module 402, configured to invoke a first preset algorithm to calculate a first rate of change of the table reading in each sub-period;
a determining module 403, configured to determine n valid sub-time periods within a preset time period based on the first change rate, where a change rate of a reading in the valid sub-time periods is greater than zero and smaller than a change rate threshold, and the change rate threshold is preset in the server;
a calculating module 402, configured to invoke a second preset algorithm to calculate a variation of the table reading in each valid sub-period, so as to obtain n table reading differences; and multiplying the sum of the reading differences of the n meters by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in a preset time period, wherein n is less than or equal to m, and m and n are positive integers.
In some embodiments, the valid sub-period comprises a first sub-period and a second sub-period;
a determining module 403, comprising:
a first determining submodule 4031, configured to determine, as a first sub-period, a sub-period in which the first change rate is greater than zero and smaller than a change rate threshold;
the dividing submodule 4032 is used for re-dividing other sub-time periods except the first sub-time period to obtain candidate sub-time periods;
the first calculation submodule 4033 is used for calling a first preset algorithm to calculate a second change rate of the table reading in each candidate sub-time period;
a first determining submodule 4031 configured to determine a candidate sub-time period with a second rate of change greater than zero and smaller than the rate of change threshold as the second sub-time period.
In some embodiments, the sub-module 4032 is divided to determine the time at both ends of other sub-periods to obtain k time nodes; determining time nodes existing in the effective sub-time period in the k time nodes and time nodes of which the left side change rate is not zero and the right side change rate is zero as effective time nodes; re-dividing other sub-time periods according to the effective time nodes to obtain candidate sub-time periods;
wherein, the left side rate of change refers to a first rate of change of the table reading in the adjacent sub-period before the time node in the time sequence, and the right side rate of change refers to a first rate of change of the table reading in the adjacent sub-period after the time node in the time sequence; k is a positive integer.
In some embodiments, the calculation module 402 includes:
the second calculation submodule 4021 is configured to calculate a difference between meter readings corresponding to two end times of a preset time period, and multiply the difference by a multiplying power of an electric meter to obtain a second power generation amount;
the second calculating submodule 4021 is used for calculating the proportion of the difference between the second power generation amount and the first power generation amount to the first power generation amount, wherein the first power generation amount is the product of the sum of the difference of the n meter readings and the multiplying power of the electric meter;
the second determination sub-module 4022 is configured to determine the first power generation amount as the effective power generation amount in response to the ratio being greater than the preset ratio.
In some embodiments, the second determining sub-module 4022 determines the second power generation amount as the effective power generation amount in response to the ratio being less than a preset ratio.
In summary, the device for determining the power generation amount provided in this embodiment periodically collects the meter reading of the electric meter of the power generation equipment within the preset time period through the electric meter; calling a first preset algorithm to calculate a first change rate of the table reading in each sub-period; determining n effective sub-time periods in a preset time period based on the first change rate, wherein the change rate of the reading in the effective sub-time periods is larger than zero and smaller than a change rate threshold value; calling a second preset algorithm to calculate the variation of the table reading in each effective sub-time period to obtain n table reading difference values; and multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in a preset time period. The device determines the time period in which the meter reading is valid from the preset time period based on the change rate of the meter reading of the electricity meter of the power generation equipment, eliminates the time period in which the meter reading is invalid due to the jump of the electricity meter, calculates the electric quantity increment in the valid time period, and obtains the accurate effective generated energy in the preset time period, thereby avoiding the condition of inaccurate calculation of the generated energy caused by the jump of the electricity meter.
Referring to fig. 8, a schematic structural diagram of a server according to an embodiment of the present application is shown. The server is used to implement the determination method of the power generation amount provided in the above-described embodiment. Specifically, the method comprises the following steps:
the server 500 includes a CPU (Central Processing Unit) 501, a system Memory 504 including a RAM (Random Access Memory) 502 and a ROM (Read-Only Memory) 503, and a system bus 505 connecting the system Memory 504 and the Central Processing Unit 501. The server 500 also includes a basic I/O (Input/Output) system 506 that facilitates information transfer between devices within the computer, and a mass storage device 507 for storing an operating system 513, application programs 514, and other program modules 515.
The basic input/output system 506 comprises a display 508 for displaying information and an input device 509, such as a mouse, keyboard, etc., for user input of information. Wherein the display 508 and the input device 509 are connected to the central processing unit 501 through an input output controller 510 connected to the system bus 505. The basic input/output system 506 may also include an input/output controller 510 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 510 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 507 is connected to the central processing unit 501 through a mass storage controller (not shown) connected to the system bus 505. The mass storage device 507 and its associated computer-readable media provide non-volatile storage for the server 500. That is, the mass storage device 507 may include a computer readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), Flash Memory (Flash Memory) or other solid state Memory technology, CD-ROM, DVD (Digital Versatile disk), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 504 and mass storage device 507 described above may be collectively referred to as memory.
According to various embodiments of the present application, the server 500 may also operate as a remote computer connected to a network through a network, such as the Internet. That is, the server 500 may be connected to the network 512 through the network interface unit 511 connected to the system bus 505, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 511.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (8)

1. A method for determining power generation amount is applied to a server, and the method comprises the following steps:
periodically collecting meter reading of the electric meter of the power generation equipment in a preset time period through the electric meter, wherein the preset time period comprises m sub-time periods;
calling a first preset algorithm to calculate a first change rate of the meter reading in each sub-time period;
determining the sub-time period for which the first rate of change is greater than zero and less than a rate-of-change threshold as a first sub-time period; the other sub-time periods except the first sub-time period are divided again to obtain a candidate sub-time period, and the interval duration between the two end moments of the candidate sub-time period is longer than the interval duration between the two end moments of the sub-time period; calling the first preset algorithm to calculate a second change rate of the meter reading in each candidate sub-time period; determining the candidate sub-time periods with the second change rate larger than zero and smaller than the change rate threshold value as second sub-time periods, and obtaining n effective sub-time periods comprising the first sub-time period and the second sub-time period; wherein the change rate threshold is preset in the server;
calling a second preset algorithm to calculate the variable quantity of the meter reading in each effective sub-time period to obtain n meter reading difference values;
and multiplying the sum of the n meter reading differences by the multiplying power of the electric meter to obtain the effective generated energy of the power generation equipment in the preset time period, wherein n is less than or equal to m, and m and n are positive integers.
2. The method of claim 1, wherein the repartitioning of sub-periods other than the first sub-period results in candidate sub-periods, comprising:
determining the moments at two ends of the other sub-time periods to obtain k time nodes;
determining a time node existing in the valid sub-period among the k time nodes and a time node with a left-side change rate being not zero and a right-side change rate being zero as a valid time node, wherein the left-side change rate refers to a first change rate of the table reading in an adjacent sub-period before the time node in the time sequence, and the right-side change rate refers to a first change rate of the table reading in an adjacent sub-period after the time node in the time sequence;
and re-dividing the other sub-time periods according to the effective time nodes to obtain the candidate sub-time periods, wherein k is a positive integer.
3. The method according to claim 1 or 2, wherein the step of multiplying the sum of the n meter reading differences by the multiplying power of the electricity meter to obtain the effective power generation amount of the power generation equipment in the preset time period comprises the following steps:
calculating a difference value between the meter readings corresponding to the moments at the two ends of the preset time period, and multiplying the difference value by the multiplying power of the electric meter to obtain a second generated energy;
calculating the proportion of the difference between the second power generation amount and a first power generation amount to the first power generation amount, wherein the first power generation amount is the product of the sum of the n meter reading differences and the multiplying power of the electric meter;
and determining the first power generation amount as the effective power generation amount in response to the proportion being larger than a preset proportion.
4. The method of claim 3, further comprising:
determining the second power generation amount as the effective power generation amount in response to the proportion being smaller than the preset proportion.
5. An apparatus for determining an amount of power generation, the apparatus comprising:
the acquisition module is used for periodically acquiring meter reading of the electricity meter of the power generation equipment in a preset time period through the electricity meter, wherein the preset time period comprises m sub-time periods;
the calculation module is used for calling a first preset algorithm to calculate a first change rate of the meter reading in each sub-time period;
a determination module comprising: the device comprises a first determining submodule, a dividing submodule and a first calculating submodule;
the first determining submodule is used for determining the sub-time period of which the first change rate is greater than zero and less than a change rate threshold value as a first sub-time period;
the dividing submodule is used for re-dividing other sub-time periods except the first sub-time period to obtain a candidate sub-time period, and the interval duration between two end moments of the candidate sub-time period is greater than the interval duration between two end moments of the sub-time period;
the first calculation submodule is used for calling the first preset algorithm to calculate a second change rate of the meter reading in each candidate sub-time period;
the first determining submodule is configured to determine the candidate sub-time segment with the second change rate larger than zero and smaller than the change rate threshold as a second sub-time segment, and obtain n valid sub-time segments including the first sub-time segment and the second sub-time segment; wherein the change rate threshold is preset in the server;
the calculation module is used for calling a second preset algorithm to calculate the variation of the meter reading in each effective sub-time period to obtain n meter reading difference values; and multiplying the sum of the n meter reading differences by the multiplying power of the ammeter to obtain the effective generated energy of the power generation equipment in the preset time period, wherein n is less than or equal to m, and m and n are positive integers.
6. The apparatus according to claim 5, wherein the partitioning sub-module is configured to determine two end times of the other sub-time periods to obtain k time nodes; determining time nodes existing in the effective sub-time period in the k time nodes and time nodes of which the left side change rate is not zero and the right side change rate is zero as effective time nodes; the other sub-time periods are divided again according to the effective time nodes to obtain the candidate sub-time periods;
wherein the left-side rate of change is a first rate of change of the meter reading in an adjacent sub-time period before the chronological time node, and the right-side rate of change is a first rate of change of the meter reading in an adjacent sub-time period after the chronological time node; k is a positive integer.
7. A server, characterized in that the server comprises:
a memory, a processor coupled to the memory;
the processor configured to load and execute the executable instructions stored in the memory to implement the method of determining the amount of power generation of any one of claims 1 to 4.
8. A computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions; the at least one instruction, the at least one program, the set of codes, or the set of instructions are loaded and executed by a processor to implement the method of determining electrical energy production of any of claims 1 to 4.
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