Meter reading method and device for distributed photovoltaic power generation equipment, medium and equipment
The infrared probe collects the meter data of distributed photovoltaic power generation equipment, and performs data preprocessing and network status judgment, which solves the problem of low meter reading frequency in the existing technology, and realizes efficient and accurate data acquisition and real-time monitoring, reducing costs and improving data security.
Patent Information
- Application Number
- CN202510024339.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-05-13
AI Technical Summary
In the prior art, wired communication meter reading methods relying on manual operations or limited to field wiring lead to low meter reading frequency and cannot meet the needs of real-time monitoring and high-frequency data acquisition.
Infrared probes are used to collect the meter data of distributed photovoltaic power generation equipment, and through data preprocessing and network status judgment, efficient and accurate data acquisition and real-time monitoring are achieved.
Direct interaction with the meter through infrared communication avoids complex wiring, improves data acquisition accuracy and real-time performance, reduces installation and maintenance costs, and ensures data security and reliability.
Smart Images
Figure CN119996869A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of communication technology, and in particular to a meter reading method, device, medium and equipment for distributed photovoltaic power generation equipment. Background Art
[0002] With the development of intelligent power monitoring and data acquisition technology, remote automatic meter reading technology is gradually becoming an important part of power management.
[0003] In the related art, the meter reading method that relies on manual operation or wired communication limited to on-site wiring results in a low meter reading frequency and cannot meet the needs of real-time monitoring and high-frequency data collection. Summary of the invention
[0004] The purpose of the present disclosure is to provide a meter reading method, device, medium and equipment for distributed photovoltaic power generation equipment to solve the problems in the related art.
[0005] In order to achieve the above objectives, in a first aspect, the present disclosure provides a meter reading method for a distributed photovoltaic power generation device, the method comprising: Acquire original electric meter data of the target photovoltaic power generation equipment, wherein the original electric meter data is collected by a preset infrared probe; Preprocessing the original electric meter data to obtain target data; The target network connection status is obtained, and when the target network connection status is characterized as normal, the target data is transmitted to the cloud platform.
[0006] Optionally, preprocessing the original electric meter data to obtain target data includes: Standardizing the time information in the original electric meter data to obtain preliminary processed data with a unified timestamp format; The preliminary processed data is subjected to data verification to obtain the target data.
[0007] Optionally, performing data verification on the preliminary processed data to obtain the target data includes: Performing outlier identification and data cleaning operations on the preliminary processed data to obtain a valid data set; The valid data set is format converted according to a preset data storage format to obtain the target data.
[0008] Optionally, the obtaining of original electric meter data of the target photovoltaic power generation equipment includes: Configuring the acquisition parameters of the preset infrared probe, wherein the acquisition parameters include acquisition frequency and acquisition time interval; A communication connection is established between the preset infrared probe and the electric meter of the target photovoltaic power generation equipment, and a data acquisition operation is performed according to the acquisition parameters to obtain the original electric meter data.
[0009] Optionally, the method further comprises: When the target network connection state is characterized as interrupted, a local data storage operation is performed on the target data, and when the target network connection state is restored to normal, the target data is transmitted to the cloud platform.
[0010] Optionally, the method further comprises: Get light intensity data; Determine the peak power generation period of the target photovoltaic power generation equipment based on the light intensity data; The meter data collection frequency is adjusted according to the peak power generation period.
[0011] Optionally, before transmitting the target data to the cloud platform, the method further includes: Performing an encryption operation on the target data to obtain encrypted data; generating a transmission verification code based on the encrypted data; A secure communication link is established with the cloud platform, and the encrypted data and the transmission verification code are transmitted through the secure communication link.
[0012] In a second aspect, the present disclosure provides a meter reading device for distributed photovoltaic power generation equipment, the device comprising: An acquisition module is used to acquire original meter data of a target photovoltaic power generation device, wherein the original meter data is collected by a preset infrared probe; A preprocessing module, used for preprocessing the raw meter data to obtain target data; The transmission module is used to obtain the target network connection status and transmit the target data to the cloud platform when the target network connection status is characterized as normal.
[0013] In a third aspect, the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.
[0014] In a fourth aspect, the present disclosure provides an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of any one of the methods in the first aspect.
[0015] Through the above technical solution, the original meter data of the target photovoltaic power generation equipment is obtained. The original meter data is collected by a preset infrared probe. The original meter data is preprocessed to obtain the target data, the target network connection status is obtained, and when the target network connection status is characterized as normal, the target data is transmitted to the cloud platform. Among them, the infrared probe collection method is adopted to avoid the problem of complex wiring of wired communication, and the introduction of data preprocessing mechanism and network status judgment can realize efficient and accurate collection and real-time monitoring of meter data.
[0016] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 The present invention is a flow chart of a meter reading method for distributed photovoltaic power generation equipment according to an exemplary embodiment of the present invention.
[0018] Figure 2 The present invention is a block diagram of a meter reading device for distributed photovoltaic power generation equipment according to an exemplary embodiment of the present invention.
[0019] Figure 3 It is a block diagram of an electronic device according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0020] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.
[0021] As mentioned in the background art, in the related art, the meter reading method that relies on manual operation or wired communication limited to on-site wiring results in a low meter reading frequency and cannot meet the needs of real-time monitoring and high-frequency data collection.
[0022] In view of this, the embodiments of the present disclosure provide a meter reading method, device, medium and equipment for distributed photovoltaic power generation equipment, which can realize efficient and accurate collection and real-time monitoring of meter data.
[0023] Figure 1 is a flow chart of a meter reading method for distributed photovoltaic power generation equipment according to an exemplary embodiment of the present disclosure. Figure 1 As shown, the method may include the following steps: Step S101, obtaining original meter data of a target photovoltaic power generation device, wherein the original meter data is collected by a preset infrared probe.
[0024] It should be understood that a connection can be established between a preset infrared probe and the infrared communication interface of the electric meter to utilize infrared communication technology for data transmission and collection. It adopts a non-contact data reading method and can directly interact with the electric meter for data. No physical connection is required, which can avoid complex wiring and simplify the installation process. And directly interacting with the electric meter through infrared communication can improve data collection accuracy and avoid manual meter reading errors.
[0025] For example, the infrared probe can be deployed by wall installation or cabinet adsorption according to actual conditions to reduce installation and maintenance costs.
[0026] For example, relevant equipment with IP65 protection level can be selected according to actual conditions to adapt to various harsh indoor and outdoor environments and achieve a wide range of applications.
[0027] Step S102, pre-processing the original meter data to obtain target data.
[0028] Step S103, obtaining the target network connection status, and transmitting the target data to the cloud platform when the target network connection status is characterized as normal.
[0029] For example, remote connection can be achieved by communicating with the cloud platform through the 4G network, and remote control and program updates are supported. When an upgrade is required, new firmware can be pushed through the network, and the device automatically completes the update after receiving the upgrade instruction.
[0030] For example, after the target data is transmitted to the cloud platform, users can view the power plant operation status, power generation data, revenue and other information in real time through the mobile APP, achieving real-time monitoring effect.
[0031] Through the above method, the original meter data of the target photovoltaic power generation equipment is obtained. The original meter data is collected by a preset infrared probe. The original meter data is preprocessed to obtain the target data, the target network connection status is obtained, and when the target network connection status is characterized as normal, the target data is transmitted to the cloud platform. Among them, the infrared probe collection method avoids the problem of complex wiring of wired communication, and the introduction of data preprocessing mechanism and network status judgment can realize efficient and accurate collection and real-time monitoring of meter data.
[0032] In a possible implementation, preprocessing the original meter data to obtain target data may include: Standardize the time information in the original meter data to obtain preliminary processed data with a unified timestamp format; Perform data verification on the preliminary processed data to obtain the target data.
[0033] It should be understood that converting the time information of different formats in the collected raw meter data into a standard timestamp format can form standardized preliminary processing data, thereby achieving a unified format expression of time information, facilitating data storage, query and analysis, and avoiding data processing errors caused by inconsistent time formats. This standardized processing ensures the consistency of data time information, provides a basic guarantee for subsequent data applications, and can improve data processing efficiency.
[0034] In a possible implementation, performing data verification on the preliminary processed data to obtain target data may include: Perform outlier identification and data cleaning operations on the preliminary processed data to obtain a valid data set; The format of the valid data set is converted according to the preset data storage format to obtain the target data.
[0035] It should be understood that outlier identification and data cleaning can identify and remove abnormal data, ensure data quality, and clean invalid or erroneous data, thereby improving the reliability of the data set.
[0036] It should be understood that data format conversion can convert valid data into a preset storage format, unify the data structure, facilitate storage and processing, and ensure compatibility with the cloud platform data format.
[0037] Through the above methods, data quality and availability can be improved, the error rate in subsequent processing links can be reduced, and data storage and analysis applications can be facilitated.
[0038] In a possible implementation, obtaining the original electric meter data of the target photovoltaic power generation equipment may include: Configure the acquisition parameters of the preset infrared probe, including the acquisition frequency and acquisition time interval; Establish a communication connection between the preset infrared probe and the electric meter of the target photovoltaic power generation equipment, and perform data acquisition operations according to the acquisition parameters to obtain the original electric meter data.
[0039] It should be understood that the frequency of data sampling can be determined by setting the collection frequency, and the time period of collection can be specified by setting the time interval, thereby ensuring the regularity and continuity of data collection and optimizing the utilization efficiency of collection resources.
[0040] It should be understood that establishing a communication connection between the infrared probe and the electric meter and collecting data according to set parameters can ensure the stability of data collection and realize automated collection.
[0041] Through the above methods, data collection can be automated and standardized, improving collection efficiency and data quality.
[0042] In a possible implementation, the method may further include: When the target network connection state is characterized as interrupted, a local data storage operation is performed on the target data, and when the target network connection state is restored to normal, the target data is transmitted to the cloud platform.
[0043] It should be understood that when a network interruption is detected, the local data storage mechanism is activated to temporarily store the target data in the local storage, which can ensure that the data will not be lost due to network interruption and ensure the continuity of data collection. And when the network is detected to be restored to normal, the local stored data is automatically uploaded to the cloud platform to complete data synchronization, which can ensure the integrity of the data and achieve reliable data transmission.
[0044] For example, the built-in storage module can be configured to store at least 5 natural days of data to ensure that data is not lost in the event of a network anomaly.
[0045] Through the above method, the data transmission problem caused by network instability can be effectively solved, the system stability can be improved, and it can be ensured that all data can be uploaded to the cloud platform in the end.
[0046] In a possible implementation, the method may further include: Get light intensity data; Determine the peak power generation period of the target photovoltaic power generation equipment based on the light intensity data; Adjust the meter data collection frequency according to the peak power generation period.
[0047] It should be understood that obtaining light intensity data may include collecting ambient light intensity information and monitoring light intensity change trends, which can provide a basis for determining the peak power generation value.
[0048] It should be understood that determining the peak power generation period may include analyzing the power generation variation pattern based on the light data and identifying the high power generation period of the photovoltaic device, thereby accurately locating the key monitoring period.
[0049] For example, the adjustment of the acquisition frequency can be set to increase the acquisition frequency during peak periods and reduce the acquisition frequency during low power generation periods, thereby optimizing the data acquisition strategy and improving the acquisition accuracy of important data.
[0050] Through the above methods, the dynamic adjustment mechanism can realize intelligent and precise data collection.
[0051] In a possible implementation manner, before transmitting the target data to the cloud platform, the following steps may also be included: Performing encryption operation on target data to obtain encrypted data; generating a transmission check code based on the encrypted data; Establish a secure communication link with the cloud platform, and transmit encrypted data and transmission verification codes through the secure communication link.
[0052] It should be understood that data encryption may include encrypting target data to generate encrypted data, thereby protecting data transmission security and preventing data from being stolen or tampered with.
[0053] It should be understood that generating a check code may include generating a check code based on encrypted data to verify data integrity, thereby ensuring the accuracy of data transmission and detecting whether the data has been tampered with.
[0054] It should be understood that secure transmission may include establishing a secure communication link and transmitting encrypted data and a checksum, thereby ensuring the security of the transmission channel and achieving reliable data transmission.
[0055] In the above manner, multiple protection mechanisms are adopted to ensure the security and reliability of data transmission.
[0056] In summary, the meter reading method for distributed photovoltaic power generation equipment in the embodiment of the present disclosure has the following advantages: 1) Efficient and accurate data collection: Directly interact with the electricity meter through infrared communication, with high data collection accuracy, avoiding manual meter reading errors.
[0057] 2) Real-time monitoring and data transmission: Support high-frequency data query and 4G remote transmission to ensure the real-time nature of data.
[0058] 3) Low maintenance cost: Infrared meter reading does not require complicated wiring, which can reduce installation and maintenance costs.
[0059] 4) High data security: The built-in storage function can temporarily store data when the network is interrupted to avoid data loss.
[0060] Figure 2 A meter reading device 200 for distributed photovoltaic power generation equipment is shown according to an exemplary embodiment of the present disclosure. The device 200 may include: An acquisition module 201 is used to acquire original meter data of a target photovoltaic power generation device, where the original meter data is collected by a preset infrared probe; A preprocessing module 202 is used to preprocess the original meter data to obtain target data; The transmission module 203 is used to obtain the target network connection status and transmit the target data to the cloud platform when the target network connection status is characterized as normal.
[0061] Optionally, the preprocessing module 202 includes: The standardization processing submodule is used to perform standardization processing on the time information in the original meter data to obtain preliminary processed data with a unified timestamp format; The data verification submodule is used to perform data verification on the preliminary processed data to obtain the target data.
[0062] Optionally, the data check submodule is used to: Perform outlier identification and data cleaning operations on the preliminary processed data to obtain a valid data set; The format of the valid data set is converted according to the preset data storage format to obtain the target data.
[0063] Optionally, the acquisition module 201 is used to: Configure the acquisition parameters of the preset infrared probe, including the acquisition frequency and acquisition time interval; Establish a communication connection between the preset infrared probe and the electric meter of the target photovoltaic power generation equipment, and perform data acquisition operations according to the acquisition parameters to obtain the original electric meter data.
[0064] Optionally, the meter reading device 200 further includes a data storage module, which is used to: When the target network connection state is characterized as interrupted, a local data storage operation is performed on the target data, and when the target network connection state is restored to normal, the target data is transmitted to the cloud platform.
[0065] Optionally, the meter reading device 200 further includes a collection frequency adjustment module, which is used to: Get light intensity data; Determine the peak power generation period of the target photovoltaic power generation equipment based on the light intensity data; Adjust the meter data collection frequency according to the peak power generation period.
[0066] Optionally, the transmission module 203 is further configured to: Performing encryption operation on target data to obtain encrypted data; generating a transmission check code based on the encrypted data; Establish a secure communication link with the cloud platform, and transmit encrypted data and transmission verification codes through the secure communication link.
[0067] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.
[0068] Figure 3 FIG. 1 is a block diagram of an electronic device 300 according to an exemplary embodiment. Figure 3 As shown, the electronic device 300 may include: a processor 301 , a memory 302 . The electronic device 300 may also include one or more of a multimedia component 303 , an input / output (I / O) interface 304 , and a communication component 305 .
[0069] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned meter reading method for distributed photovoltaic power generation equipment. The memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method for operating on the electronic device 300, and application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 303 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 302 or sent through the communication component 305. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 304 provides an interface between the processor 301 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 305 may include: Wi-Fi module, Bluetooth module, NFC module, etc.
[0070] In an exemplary embodiment, the electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned meter reading method for distributed photovoltaic power generation equipment.
[0071] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned meter reading method for distributed photovoltaic power generation equipment are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 302 including program instructions, and the above-mentioned program instructions can be executed by the processor 301 of the electronic device 300 to complete the above-mentioned meter reading method for distributed photovoltaic power generation equipment.
[0072] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.
[0073] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.
[0074] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.
Claims
1. A meter reading method for distributed photovoltaic power generation equipment, characterized in that: The method comprises: Acquire original electric meter data of the target photovoltaic power generation equipment, wherein the original electric meter data is collected by a preset infrared probe; Preprocessing the original electric meter data to obtain target data; The target network connection status is obtained, and when the target network connection status is characterized as normal, the target data is transmitted to the cloud platform.
2. The method according to claim 1, characterized in that The preprocessing of the original electric meter data to obtain target data includes: Standardizing the time information in the original electric meter data to obtain preliminary processed data with a unified timestamp format; The preliminary processed data is subjected to data verification to obtain the target data.
3. The method according to claim 2, characterized in that The performing data verification on the preliminary processed data to obtain the target data includes: Performing outlier identification and data cleaning operations on the preliminary processed data to obtain a valid data set; The valid data set is format converted according to a preset data storage format to obtain the target data.
4. The method according to claim 1, characterized in that The obtaining of the original electric meter data of the target photovoltaic power generation equipment includes: Configuring the acquisition parameters of the preset infrared probe, wherein the acquisition parameters include acquisition frequency and acquisition time interval; A communication connection is established between the preset infrared probe and the electric meter of the target photovoltaic power generation equipment, and a data acquisition operation is performed according to the acquisition parameters to obtain the original electric meter data.
5. The method according to claim 1, characterized in that The method further comprises: When the target network connection state is characterized as interrupted, a local data storage operation is performed on the target data, and when the target network connection state is restored to normal, the target data is transmitted to the cloud platform.
6. The method according to claim 1, characterized in that The method further comprises: Get light intensity data; Determine the peak power generation period of the target photovoltaic power generation equipment based on the light intensity data; The meter data collection frequency is adjusted according to the peak power generation period.
7. The method according to claim 1, characterized in that Before transmitting the target data to the cloud platform, the method further includes: Performing an encryption operation on the target data to obtain encrypted data; generating a transmission verification code based on the encrypted data; A secure communication link is established with the cloud platform, and the encrypted data and the transmission verification code are transmitted through the secure communication link.
8. A meter reading device for distributed photovoltaic power generation equipment, characterized in that: The device comprises: An acquisition module is used to acquire original meter data of a target photovoltaic power generation device, wherein the original meter data is collected by a preset infrared probe; A preprocessing module, used for preprocessing the raw meter data to obtain target data; The transmission module is used to obtain the target network connection status and transmit the target data to the cloud platform when the target network connection status is characterized as normal.
9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.
10. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 7.