Small hydropower station ecological flow supervision method and system, electronic equipment and storage medium

Abstract

The invention discloses a small hydropower station ecological flow supervision method and system, electronic equipment and a storage medium. The method comprises the steps of obtaining monitoring data of a preset hydropower station through preset monitoring equipment; wherein the monitoring data comprises ecological flow data of the hydropower station; uploading the monitoring data to a preset supervision platform through a preset data uploading mode; wherein the preset data uploading mode is determined through the preset monitoring equipment; performing data analysis according to the ecological flow data of the hydropower station through the preset supervision platform to judge whether a preset early warning condition is met or not; and when it is determined that the ecological flow data of the hydropower station meets the preset early warning condition, performing ecological flow grading early warning according to the ecological flow data of the hydropower station. According to the embodiment of the invention, the reliability of small hydropower station data acquisition can be effectively improved, ecological flow supervision of a small hydropower station is realized, and the management efficiency of the small hydropower station is effectively improved. The method can be widely applied to the technical field of water conservancy and hydropower.

Description

Technical Field

[0001] The present application relates to the field of water conservancy and hydropower technology, and in particular to a small hydropower ecological flow supervision method, system, electronic equipment and storage medium. Background Art

[0002] Hydropower stations are comprehensive engineering facilities that convert water energy into electricity. Small hydropower stations, with their low investment, short lifecycle, rapid returns, and simple operation and maintenance, have become a crucial means of addressing electricity access and promoting rural economic and social development in areas without access to electricity. However, the rapid growth of small hydropower has also led to a series of problems, including disorderly development, excessive resource appropriation, ecological damage, and lagging planning and management. Most small hydropower stations in my country are diversion-type, which often lead to reduced flow or dehydration in downstream river sections, impacting the ecological balance of the original river. Releasing ecological flows is an effective way to address this problem. However, there are as many as 41,000 small hydropower stations nationwide, many of which are located in remote mountainous areas with inconvenient transportation, unstable network coverage, and unstable power supply. This makes it difficult to obtain reliable and stable operational data on small hydropower stations and understand their ecological flow release, resulting in suboptimal regulatory oversight.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The main purpose of the embodiments of this application is to propose a small hydropower ecological flow supervision method, system, electronic equipment and storage medium, which can effectively improve the reliability of small hydropower data acquisition, realize the ecological flow supervision of small hydropower stations, and effectively improve the management efficiency and supervision effect of small hydropower.

[0005] To achieve the above objectives, one aspect of the embodiments of the present application provides a method for regulating small hydropower ecological flow, the method comprising the following steps:

[0006] Acquiring monitoring data of a preset hydropower station through a preset monitoring device; wherein the monitoring data includes ecological flow data of the hydropower station;

[0007] Uploading the monitoring data to a preset supervision platform through a preset data uploading method; wherein the preset data uploading method is determined by the preset monitoring device;

[0008] Performing data analysis based on the ecological flow data of the hydropower station through the preset supervision platform to determine whether the preset early warning conditions are met;

[0009] When it is determined that the ecological flow data of the hydropower station meets the preset warning condition, an ecological flow graded warning is performed based on the ecological flow data of the hydropower station.

[0010] In some embodiments, obtaining monitoring data of a preset hydropower station through a preset monitoring device includes:

[0011] Obtain hydropower station information of the target hydropower station;

[0012] Determining a target monitoring device according to the hydropower station information, so as to obtain preset flow measurement data through dynamic monitoring by the target monitoring device; wherein the preset flow measurement data corresponds to the flow measurement method of the preset hydropower station;

[0013] The monitoring data is constructed based on the hydropower station information, the hydropower station ecological flow data and the preset flow measurement data.

[0014] In some embodiments, the monitoring data is constructed based on the hydropower station information, the hydropower station ecological flow data, and the preset flow measurement data, including:

[0015] Determine a target camera module according to the hydropower station information, so as to dynamically acquire image data of the preset hydropower station through the target camera module; wherein the image data includes static pictures and dynamic videos;

[0016] The image data is transmitted to the preset monitoring platform.

[0017] In some embodiments, uploading the monitoring data to a preset monitoring platform using a preset data uploading method includes:

[0018] When it is determined that the preset monitoring device meets the preset network conditions, the preset monitoring device is connected to the preset supervision platform through the Internet of Things mode to upload the monitoring data to the preset supervision platform;

[0019] The monitoring data is associated with the hydropower station information and stored in the database of the preset supervision platform.

[0020] In some embodiments, uploading the monitoring data to a preset monitoring platform using a preset data uploading method further includes:

[0021] When it is determined that the preset monitoring device does not meet the preset network condition, obtaining the preset public key data of the preset monitoring device through the preset supervision platform;

[0022] Encrypting the monitoring data using the preset public key data to obtain encrypted file data;

[0023] Importing the encrypted file data into the preset supervision platform to parse and verify the encrypted file data;

[0024] When it is determined that the encrypted file data has passed verification, the monitoring data obtained by parsing is stored in the database of the preset supervision platform.

[0025] In some embodiments, when it is determined that the ecological flow data of the hydropower station meets the preset warning condition, performing ecological flow graded warning according to the ecological flow data of the hydropower station includes:

[0026] When it is determined that the ecological flow data of the hydropower station meets a first warning condition, a first warning message is generated based on the ecological flow data of the hydropower station and the monitoring data, so as to push the first warning message to the first-level management terminal; wherein the first warning condition includes that the number of times that the ecological flow data of the hydropower station is less than a preset warning threshold within a first time period is greater than a preset number threshold, or the number of data records of the ecological flow data of the hydropower station is less than or equal to a preset record threshold;

[0027] Dynamically monitoring first handling feedback data fed back by the first-level management terminal;

[0028] When it is determined that the first handling feedback data is not monitored within the second time period, pushing the first warning information to the second-level management terminal;

[0029] Dynamically monitoring the second handling feedback data fed back by the second-level management terminal;

[0030] When it is determined that the second handling feedback data is not monitored within the third time period, pushing the first warning information to the third-level management terminal;

[0031] Dynamically monitoring third handling feedback data fed back by the third-level management terminal;

[0032] When it is determined that the third handling feedback data is received, a warning handling report is generated according to the third handling feedback data.

[0033] In some embodiments, after performing the step of determining that the ecological flow data of the hydropower station meets the preset warning condition and performing ecological flow graded warning according to the ecological flow data of the hydropower station, the method further includes:

[0034] Acquiring geographic image data of the preset hydropower station;

[0035] Data visualization is performed based on the ecological flow data of the hydropower station, the graded warning data and the geographic image data to obtain a visual graph of the ecological flow of the hydropower station.

[0036] To achieve the above objectives, another aspect of the present application provides a small hydropower ecological flow monitoring system, the system comprising:

[0037] The first module is used to obtain monitoring data of a preset hydropower station through a preset monitoring device; wherein the monitoring data includes ecological flow data of the hydropower station;

[0038] The second module is used to upload the monitoring data to a preset supervision platform through a preset data uploading method; wherein the preset data uploading method is determined by the preset monitoring device;

[0039] The third module is used to perform data analysis based on the ecological flow data of the hydropower station through the preset supervision platform to determine whether the preset warning conditions are met;

[0040] The fourth module is used to perform ecological flow graded warning according to the ecological flow data of the hydropower station when it is determined that the ecological flow data of the hydropower station meets the preset warning conditions.

[0041] To achieve the above-mentioned object, another aspect of the present application provides an electronic device, comprising:

[0042] at least one processor;

[0043] at least one memory for storing at least one program;

[0044] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.

[0045] To achieve the above-mentioned purpose, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above-mentioned method when executed by a processor.

[0046] The embodiments of the present application have at least the following beneficial effects: The present application provides a method, system, electronic device, and storage medium for monitoring ecological flow at a small hydropower station. This solution uses a preset monitoring device to acquire monitoring data from a preset hydropower station and uploads the monitoring data to a preset monitoring platform via a preset data upload method determined by the preset monitoring device. The monitoring data includes the hydropower station's ecological flow data. Furthermore, the embodiments of the present invention utilize the preset monitoring platform to analyze the hydropower station's ecological flow data to determine whether preset warning conditions are met. When it is determined that the hydropower station's ecological flow data meets the preset warning conditions, the embodiments of the present invention perform graded ecological flow warnings based on the hydropower station's ecological flow data, providing timely warnings for abnormal conditions and improving the management efficiency and effectiveness of small hydropower. It is readily understood that by uploading the collected monitoring data to the preset monitoring platform via a preset upload method determined by the preset monitoring device, the embodiments of the present invention can effectively improve the reliability of small hydropower data acquisition and enable ecological flow monitoring at the hydropower station. Furthermore, when it is determined that the hydropower station's ecological flow data meets the preset warning conditions, the embodiments of the present invention perform graded ecological flow warnings, enabling timely responses to ecological flow warnings and effectively improving the management efficiency and reliability of small hydropower. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of a small hydropower ecological flow supervision method provided by an embodiment of the present invention;

[0048] Figure 2 This is a flow chart of the ecological flow classification warning provided by an embodiment of the present invention;

[0049] Figure 3 This is a structural diagram of a small hydropower ecological flow monitoring system provided by an embodiment of the present application;

[0050] Figure 4 This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims.

[0052] It will be understood that the terms "first", "second", etc. used in this application may be used herein to describe various concepts, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0053] The terms "at least one", "plurality", "each", "any", etc. used in this application include "at least one", "two" or more, "plurality" or "each", "any" or "any one", "each" or "any one" as used herein.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0055] Before explaining the embodiments of the present application in detail, some of the nouns and terms involved in the embodiments of the present application are first explained. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0056] Small hydropower station: a hydropower station with a single station installed capacity of 50,000 kilowatts or less.

[0057] Ecological flow: In order to maintain the basic ecological functions of rivers and lakes and the stability of sensitive ecological protection objects, it is necessary to retain the flow (water volume, water level) and its process in rivers and lakes.

[0058] Hydropower stations are comprehensive engineering facilities that convert water energy into electricity. Small hydropower stations, with their low investment, short lifecycle, rapid returns, and simple operation and maintenance, have become a crucial means of addressing electricity access and promoting rural economic and social development in areas without access to electricity. However, the rapid growth of small hydropower has also led to a series of problems, including disorderly development, excessive resource appropriation, ecological damage, and lagging planning and management. Most small hydropower stations in my country are diversion-type, which often lead to reduced flow or dehydration in downstream river sections, impacting the ecological balance of the original river. Releasing ecological flows is an effective way to address this problem. However, there are as many as 41,000 small hydropower stations nationwide, many of which are located in remote mountainous areas with inconvenient transportation, unstable network coverage, and unstable power supply. This makes it difficult to obtain reliable and stable operational data on small hydropower stations and understand their ecological flow release, resulting in suboptimal regulatory oversight.

[0059] In view of this, an embodiment of the present application provides a small hydropower ecological flow supervision method, system, electronic device, and storage medium. This solution obtains monitoring data of a preset hydropower station through a preset monitoring device, and the monitoring data includes the ecological flow data of the hydropower station. The monitoring data is uploaded to a preset supervision platform through a preset data upload method determined by the preset monitoring device. The preset supervision platform then performs data analysis based on the ecological flow data of the hydropower station to determine whether the preset early warning conditions are met. When it is determined that the ecological flow data of the hydropower station meets the preset early warning conditions, the embodiment of the present invention performs a graded ecological flow early warning based on the ecological flow data of the hydropower station, which can effectively improve the reliability of small hydropower data acquisition, realize ecological flow supervision of small hydropower stations, and effectively improve the management efficiency of small hydropower.

[0060] The small hydropower ecological flow supervision method provided in the embodiment of the present application relates to the field of water conservancy and hydropower technology. The small hydropower ecological flow supervision method provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server, and can also be software running in a terminal or a server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server side can be configured as an independent physical server, or can be configured as a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application that implements the small hydropower ecological flow supervision method, etc., but is not limited to the above forms.

[0061] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0062] Figure 1This is an optional flow chart of the small hydropower ecological flow supervision method provided in the embodiment of the present application. Figure 1 The method may include but is not limited to steps S110 to S140.

[0063] Step S110: Acquire monitoring data of a preset hydropower station through a preset monitoring device, wherein the monitoring data includes ecological flow data of the hydropower station.

[0064] Step S120: Uploading the monitoring data to the preset monitoring platform via a preset data uploading method, wherein the preset data uploading method is determined by the preset monitoring device.

[0065] Step S130: Perform data analysis based on the ecological flow data of the hydropower station through a preset monitoring platform to determine whether the preset early warning conditions are met.

[0066] Step S140: When it is determined that the ecological flow data of the hydropower station meets the preset warning conditions, a graded ecological flow warning is performed based on the ecological flow data of the hydropower station.

[0067] During the operation of this specific embodiment, the present invention first obtains monitoring data from a pre-set hydropower station via pre-set monitoring equipment. Specifically, the pre-set monitoring equipment in this embodiment refers to monitoring equipment installed on-site at a small hydropower station, such as a water level gauge, flow meter, or current transformer. Accordingly, the monitoring data in this embodiment refers to data collected by the pre-set monitoring equipment and related to ecological flow calculations. The corresponding monitoring parameters are determined by the hydropower station type, and the corresponding monitoring data is collected and calculated. Accordingly, the monitoring data in this embodiment includes hydropower station ecological flow data. Next, the present invention uploads the monitoring data to a pre-set monitoring platform via a pre-set data upload method. Specifically, the pre-set data upload method in this embodiment refers to a method for uploading monitoring data to the pre-set monitoring platform, such as online or offline upload. In this embodiment, the pre-set data upload method is determined by the pre-set monitoring equipment; that is, the data upload method is determined by the status of the pre-set monitoring equipment to improve the reliability and stability of data upload. Furthermore, the pre-set monitoring platform analyzes the hydropower station ecological flow data to determine whether pre-set warning conditions are met. If it is determined that the hydropower station ecological flow data meets the pre-set warning conditions, the present invention issues a graded ecological flow warning based on the ecological flow data. Specifically, in the embodiment of the present invention, the preset supervision platform performs an abnormal analysis on the ecological flow data of the hydropower station to determine whether the ecological flow discharge of the preset hydropower station meets the expected requirements, that is, whether it meets the preset early warning conditions. For example, it determines whether the daily average ecological flow discharge value (that is, the actual discharge value) of each hydropower station is less than the approved value of the ecological flow. Accordingly, when the embodiment of the present invention determines that the ecological flow data of the hydropower station meets the preset early warning conditions, such as the downstream flow of the preset hydropower station is less than the approved value (expected value) of the ecological flow, it indicates that the current ecological flow discharge of the hydropower station is abnormal. At this time, the embodiment of the present invention performs a graded early warning of ecological flow based on the current ecological flow data of the hydropower station. Among them, the graded early warning of ecological flow in the embodiment of the present invention refers to the push of early warning messages in accordance with the early warning conditions of different levels, so as to improve the efficiency of early warning disposal, alleviate the problem of untimely early warning disposal of ecological flow, and effectively improve the management efficiency of small hydropower.

[0068] In some embodiments of the present invention, obtaining monitoring data of a preset hydropower station through a preset monitoring device includes but is not limited to the following steps:

[0069] Get the hydropower station information of the target hydropower station.

[0070] The target monitoring device is determined based on the hydropower station information, so as to obtain preset flow measurement data through dynamic monitoring by the target monitoring device, wherein the preset flow measurement data corresponds to the flow measurement method of the preset hydropower station.

[0071] The ecological flow data of the hydropower station is calculated based on the preset flow measurement data.

[0072] The monitoring data is constructed based on the hydropower station information, the hydropower station ecological flow data and the preset flow measurement data.

[0073] In this specific embodiment, the present invention first obtains hydropower station information for a target hydropower station, identifies a target monitoring device based on the hydropower station information, and dynamically monitors the target monitoring device to obtain preset flow measurement data. The target monitoring device then dynamically monitors the target hydropower station's ecological flow data based on the preset flow measurement data. Monitoring data is then constructed based on the hydropower station information, the hydropower station's ecological flow data, and the preset flow measurement data. Specifically, in the present embodiment, hydropower station information refers to information corresponding to the target hydropower station, such as the station name, region, and flow measurement method. Accordingly, in the present embodiment, the target monitoring device refers to the monitoring device corresponding to the target hydropower station, which dynamically monitors the preset flow measurement data of the target hydropower station in real time. The preset flow measurement data in the present embodiment refers to monitoring parameters used to calculate ecological flow, corresponding to the preset flow measurement method of the hydropower station. Accordingly, the monitoring device installed on-site at the hydropower station in the present embodiment has data acquisition, flow conversion, video encoding, and data storage capabilities. The present embodiment uses the monitored preset flow measurement data, such as real-time water level or flow data, combined with the monitoring method and calculation formula to convert the ecological flow release value (hydropower station ecological flow data), and then transmits the ecological flow release value to the monitoring platform. For example, when a hydropower station uses sluice gate flow measurement as a monitoring method, the real-time water level in front of the gate is monitored using an ultrasonic / radar / pressure / fiber optic water level gauge. Combined with the gate opening height monitored in real time by a fixed gate opening / gate opening meter, the real-time ecological flow discharge is calculated according to the sluice gate outflow formula. In other words, the preset flow measurement data includes the real-time water level in front of the gate and the gate opening height. Alternatively, when a hydropower station uses unit power generation estimation as a monitoring method, the real-time unit power generation is monitored using a current transformer or energy meter. Combined with parameters such as measured head / working head and unit efficiency, the discharge flow is calculated. In other words, the preset flow measurement data includes parameters such as measured head, working head, and unit efficiency. Alternatively, in some embodiments of the present invention, a pipeline flow meter monitoring method can also be used, where an ultrasonic / electromagnetic flow meter is used to monitor the real-time flow in a full pipeline. Finally, embodiments of the present invention associate the calculated hydropower station ecological flow data, the monitored preset flow measurement data, and the corresponding hydropower station information to construct monitoring data, which is uploaded to a preset monitoring platform for platform supervision and review.

[0074] In some embodiments of the present invention, after constructing monitoring data based on hydropower station information, hydropower station ecological flow data, and preset flow measurement data, the small hydropower ecological flow supervision method provided by the embodiment of the present invention further includes but is not limited to the following steps:

[0075] The target camera module is determined based on the hydropower station information to dynamically acquire image data of the preset hydropower station through the target camera module, wherein the image data includes static pictures and dynamic videos.

[0076] Transmit image data to the preset monitoring platform.

[0077] In this specific example, the embodiment of the present invention also determines the target camera module based on the hydropower station information, so as to dynamically obtain the image data of the preset hydropower station through the target camera module, and then transmit the image data to the preset supervision platform. Specifically, in the embodiment of the present invention, the target camera module is set at the preset hydropower station site. Accordingly, the embodiment of the present invention determines the preset hydropower station that needs to be monitored through the hydropower station information, and then determines the corresponding target camera module to call the target camera module to dynamically collect the on-site image data of the preset hydropower station. Among them, the image data in the embodiment of the present invention includes static pictures and dynamic videos, such as on-site photos and videos of the hydropower station. Then, the embodiment of the present invention uploads the acquired static pictures and dynamic videos to the preset supervision platform, so that when the ecological flow data is subsequently analyzed, the acquired image data can be combined to verify the abnormal status, thereby effectively improving the accuracy and reliability of the early warning.

[0078] In some embodiments of the present invention, uploading monitoring data to a preset monitoring platform through a preset data uploading method includes but is not limited to the following steps:

[0079] When it is determined that the preset monitoring device meets the preset network conditions, the preset monitoring device is connected to the preset supervision platform through the Internet of Things mode to upload the monitoring data to the preset supervision platform.

[0080] The monitoring data is associated with the hydropower station information and stored in the database of the preset supervision platform.

[0081] In this specific embodiment, the present invention first determines whether the preset monitoring device meets the preset network conditions to determine the corresponding preset data upload method. If it is determined that the preset monitoring device meets the preset network conditions, the present invention connects the preset monitoring device to the preset supervision platform via the Internet of Things (IoT) mode to upload the monitoring data to the preset supervision platform. Specifically, the preset network conditions in the present invention include whether the preset monitoring device set up in the preset hydropower station meets the preset network threshold, such as whether the current network signal is greater than the preset signal threshold, or whether the network conditions are met, that is, whether the preset monitoring device can connect to the network at the preset hydropower station site. Accordingly, if it is determined that the preset monitoring device meets the network conditions, that is, meets the preset network conditions, the present invention connects the preset monitoring device to the preset supervision platform via the Internet of Things mode, and then uploads the collected monitoring data to the preset supervision platform in real time. Furthermore, the present invention associates the monitoring data with hydropower station information and stores it in the database of the preset supervision platform. Specifically, the present invention provides a corresponding database at the back end of the preset supervision platform to store the acquired monitoring data, such as hydropower station ecological flow data. Accordingly, the embodiment of the present invention associates the monitoring data with the hydropower station information of the preset hydropower station, thereby facilitating subsequent data query and call, and improving the efficiency of ecological flow management.

[0082] In some embodiments of the present invention, uploading monitoring data to a preset monitoring platform through a preset data uploading method also includes but is not limited to the following steps:

[0083] When it is determined that the preset monitoring device does not meet the preset network conditions, the preset public key data of the preset monitoring device is obtained through the preset supervision platform.

[0084] The monitoring data is encrypted using the preset public key data to obtain encrypted file data.

[0085] Import the encrypted file data into the preset supervision platform to parse and verify the encrypted file data.

[0086] When it is determined that the encrypted file data verification has passed, the parsed monitoring data will be stored in the database of the preset supervision platform.

[0087] In this specific embodiment, when it is determined that the preset monitoring device does not meet the preset network conditions, the present invention implements the acquisition of the preset public key data of the preset monitoring device through the preset supervision platform, so as to encrypt the monitoring data through the preset public key data to obtain encrypted file data. Specifically, when it is determined that the current network status of the preset monitoring device does not meet the preset network conditions, such as the network signal strength is lower than the preset signal threshold, or the preset monitoring device cannot connect to the network, that is, it does not have the network conditions, then the embodiment of the present invention performs data upload without a network device. Among them, the embodiment of the present invention first applies to connect the preset monitoring device to the preset supervision platform to obtain the preset public key data of the preset monitoring device from the preset monitoring platform. Accordingly, the embodiment of the present invention encrypts the collected monitoring data through the preset public key data, for example, encrypts it through the SM2 encryption algorithm, and packages the encrypted data into a preset file package (encrypted file data) so that the file format meets the storage requirements of the preset supervision platform. It is easy to understand that the embodiment of the present invention improves the reliability and security of the data by encrypting the monitoring data to avoid the monitoring data being tampered with or processed by third-party software.

[0088] Next, the embodiment of the present invention imports the encrypted file data into the preset supervision platform to parse and verify the encrypted file data. When it is determined that the encrypted file data has passed the verification, the embodiment of the present invention stores the parsed monitoring data in the database of the preset supervision platform. Specifically, the embodiment of the present invention uploads the encrypted file data obtained from the preset monitoring device to the preset supervision platform, such as copying the encrypted file data from the preset monitoring device and importing it to the preset supervision platform. When the upload is completed, the preset supervision platform decrypts the encrypted file data using the preset private key corresponding to the preset public key, and verifies the decrypted data to determine whether the data has been tampered with or damaged before uploading. When it is determined that the encrypted file data has passed the verification, the embodiment of the present invention stores the parsed monitoring data in the database of the preset supervision platform. Among them, the embodiment of the present invention can view the upload results and log reports through the preset supervision platform. When the upload fails, the problem can be checked according to the log report, such as file format error, encryption failure, etc.

[0089] In some embodiments of the present invention, when it is determined that the ecological flow data of the hydropower station meets the preset warning conditions, a graded ecological flow warning is performed based on the ecological flow data of the hydropower station, including but not limited to the following steps:

[0090] When it is determined that the hydropower station's ecological flow data meets a first warning condition, a first warning message is generated based on the hydropower station's ecological flow data and the monitoring data, and the first warning message is pushed to the first-level management terminal. The first warning condition includes the number of times the hydropower station's ecological flow data falls below a preset warning threshold within a first time period exceeding a preset threshold, or the number of times the hydropower station's ecological flow data is recorded being less than or equal to a preset threshold.

[0091] Dynamically monitor the first disposal feedback data fed back by the first-level management terminal.

[0092] When it is determined that the first disposal feedback data is not monitored within the second time period, the first warning information is pushed to the second-level management terminal.

[0093] Dynamically monitor the second disposal feedback data fed back by the second-level management terminal.

[0094] When it is determined that the second disposal feedback data is not monitored within the third time period, the first warning information is pushed to the third-level management terminal.

[0095] Dynamically monitor the third-level disposal feedback data fed back by the third-level management terminal.

[0096] When it is determined that the third handling feedback data is received, a warning handling report is generated according to the third handling feedback data.

[0097] In this specific embodiment, the embodiment of the present invention first determines whether the ecological flow data of the hydropower station meets the first warning condition. When it is determined that the ecological flow data of the hydropower station meets the first warning condition, the embodiment of the present invention generates a first warning information based on the ecological flow data of the hydropower station and the monitoring data, and pushes the first warning information to the first-level management terminal. Specifically, the first warning condition in the embodiment of the present invention includes that the number of times the ecological flow data of the hydropower station is less than the preset warning threshold within the first time period is greater than the preset number threshold, or the number of data records of the ecological flow data of the hydropower station is less than or equal to the preset record threshold. For example, if Figure 2As shown, when it is determined that the ecological flow data of the hydropower station has not reached the ecological flow threshold for three consecutive times within 2 hours or the recorded ecological flow data of the hydropower station is less than or equal to 5 records, it means that an abnormal situation has occurred in the current preset hydropower station. The embodiment of the present invention generates a first early warning information based on the ecological flow data and monitoring data of the hydropower station, such as flow data within the early warning time, photos and video clips of the time period, etc., and pushes it to the first-level management terminal, such as sending an alarm to the county-level management department terminal in units of 2 hours. Accordingly, the embodiment of the present invention dynamically monitors the first disposal feedback data fed back by the first-level management terminal. Specifically, the embodiment of the present invention monitors in real time whether the first-level terminal performs early warning processing within a preset time period. For example, it dynamically monitors whether the county-level management department takes action within 48 hours of the early warning, and obtains corresponding disposal data, such as the cause of the problem, disposal method, disposal certificate, disposal result, whether the disposal is completed, and the estimated disposal time.

[0098] Furthermore, when it is determined that the first disposal feedback data has not been monitored within the second time period, an embodiment of the present invention pushes the first warning information to the second-level management terminal. Specifically, when the first-level management terminal does not process the warning information within a certain time period, an embodiment of the present invention pushes the warning to the second-level management terminal to improve the efficiency and reliability of the abnormal warning processing of the hydropower station by introducing the second-level management department. For example, when the first-level management department (such as the county-level management department) does not perform the warning disposal within 48 hours after the first warning information is pushed, that is, the first disposal feedback data is not monitored, the embodiment of the present invention pushes the first warning information to the second-level management terminal so that the second management department (such as the municipal-level management department) intervenes in the processing. Similarly, the embodiment of the present invention dynamically monitors the second disposal feedback data fed back by the second-level management terminal to determine whether the second-level management terminal performs the warning disposal. When it is determined that the second disposal feedback data has not been monitored within the third time period, the embodiment of the present invention pushes the first warning information to the third-level management terminal and dynamically monitors the third disposal feedback data fed back by the third-level management terminal. Specifically, an embodiment of the present invention monitors whether the second-level management terminal feeds back the second disposal feedback data within a third time period, such as within 72 hours, that is, whether the second-level management terminal completes the early warning disposal. When it is determined that the second-level management terminal has not completed the early warning disposal within the third time period, the embodiment of the present invention pushes the first early warning information to the third-level management terminal so that the third-level management department (such as the provincial management department) intervenes in the processing, thereby further improving the efficiency of the early warning disposal. Correspondingly, when it is determined that the third disposal feedback data is received, the embodiment of the present invention generates an early warning disposal report based on the third disposal feedback data. Specifically, when the third disposal feedback data is received, it indicates that the early warning disposal is completed. The embodiment of the present invention clears the early warning from the early warning disposal library and generates an early warning disposal report based on the third feedback data. Similarly, when the first disposal feedback data is monitored within the second time period or the second disposal feedback data is monitored within the third time period, the embodiment of the present invention also generates an early warning disposal report based on the corresponding feedback data and ends the early warning.

[0099] In some embodiments of the present invention, after determining that the ecological flow data of the hydropower station meets the preset warning conditions and performing ecological flow graded warning according to the ecological flow data of the hydropower station, the small hydropower ecological flow supervision method provided by the embodiment of the present invention further includes but is not limited to the following steps:

[0100] Get geographic image data of a preset hydropower station.

[0101] Data visualization is performed based on the ecological flow data of the hydropower station, graded warning data and geographic image data to obtain a visual graph of the ecological flow of the hydropower station.

[0102] In this specific embodiment, the embodiment of the present invention first obtains the geographic image data of the preset hydropower station, and then performs data visualization based on the ecological flow data of the hydropower station, the graded warning data and the geographic image data, thereby obtaining a visual map of the ecological flow of the hydropower station. Specifically, in order to facilitate relevant personnel to understand the status information and monitoring data of each hydropower station in a timely and clear manner, the embodiment of the present invention combines the ecological flow data of the hydropower station and the graded warning data (such as warning information, warning disposal data, etc.) with the geographic image data to perform data visualization and generate a visual map of the ecological flow of the hydropower station, so that the geographical location information and real-time monitoring information of the hydropower station can be displayed in the geographic image (such as a map), effectively improving the accuracy of small hydropower ecological flow supervision and enhancing data transparency, thereby improving data understanding efficiency.

[0103] See also Figure 3 The present application also provides a small hydropower ecological flow supervision system, which can implement the above-mentioned small hydropower ecological flow supervision method. The system includes:

[0104] The first module 210 is used to obtain monitoring data of a preset hydropower station through a preset monitoring device, wherein the monitoring data includes ecological flow data of the hydropower station.

[0105] The second module 220 is configured to upload the monitoring data to a preset monitoring platform via a preset data uploading method, wherein the preset data uploading method is determined by a preset monitoring device.

[0106] The third module 230 is used to perform data analysis based on the ecological flow data of the hydropower station through a preset supervision platform to determine whether the preset early warning conditions are met.

[0107] The fourth module 240 is used to perform ecological flow graded warning according to the ecological flow data of the hydropower station when it is determined that the ecological flow data of the hydropower station meets the preset warning conditions.

[0108] It can be understood that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0109] The present application also provides an electronic device comprising a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the aforementioned small hydropower ecological flow monitoring method. The electronic device can be any smart terminal, including a tablet computer and an in-vehicle computer.

[0110] It can be understood that the contents of the above method embodiments are applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0111] See also Figure 4 , Figure 4 The hardware structure of an electronic device according to another embodiment is shown. The electronic device includes:

[0112] The processor 310 may be implemented as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0113] The memory 320 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 320 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 320 and is called by the processor 310 to execute the small hydropower ecological flow supervision method of the embodiments of this application;

[0114] Input / output interface 330, used to implement information input and output;

[0115] Communication interface 340, used to implement communication interaction between this device and other devices, which can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WiFi, Bluetooth, etc.);

[0116] bus 350 , which transmits information between the various components of the device (e.g., processor 310 , memory 320 , input / output interface 330 , and communication interface 340 );

[0117] The processor 310 , the memory 320 , the input / output interface 330 and the communication interface 340 are connected to each other in communication within the device via the bus 350 .

[0118] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned small hydropower ecological flow supervision method.

[0119] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiment, the functions specifically implemented by the present storage medium embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0120] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0121] The embodiments described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0122] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0123] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0124] Those skilled in the art will appreciate that all or some of the steps in the methods, systems, and functional modules / units in the devices disclosed above may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0125] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0126] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0127] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0128] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0129] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0130] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes multiple instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: various media that can store programs, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0131] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A small hydropower ecological flow supervision method, characterized in that: The method comprises the following steps: Acquiring monitoring data of a preset hydropower station through a preset monitoring device; wherein the monitoring data includes ecological flow data of the hydropower station; Uploading the monitoring data to a preset supervision platform through a preset data uploading method; wherein the preset data uploading method is determined by the preset monitoring device; Performing data analysis based on the ecological flow data of the hydropower station through the preset supervision platform to determine whether the preset early warning conditions are met; When it is determined that the ecological flow data of the hydropower station meets the preset warning condition, an ecological flow graded warning is performed based on the ecological flow data of the hydropower station.

2. The method according to claim 1, characterized in that The method of obtaining monitoring data of a preset hydropower station through a preset monitoring device includes: Obtain hydropower station information of the target hydropower station; Determining a target monitoring device according to the hydropower station information, so as to obtain preset flow measurement data through dynamic monitoring by the target monitoring device; wherein the preset flow measurement data corresponds to the flow measurement method of the preset hydropower station; Calculating the ecological flow data of the hydropower station according to the preset flow measurement data; The monitoring data is constructed based on the hydropower station information, the hydropower station ecological flow data and the preset flow measurement data.

3. The method according to claim 2, characterized in that After executing the step of constructing the monitoring data based on the hydropower station information, the hydropower station ecological flow data, and the preset flow measurement data, the method further includes: Determine a target camera module according to the hydropower station information, so as to dynamically acquire image data of the preset hydropower station through the target camera module; wherein the image data includes static pictures and dynamic videos; The image data is transmitted to the preset monitoring platform.

4. The method according to claim 1, wherein The uploading of the monitoring data to a preset supervision platform by a preset data uploading method includes: When it is determined that the preset monitoring device meets the preset network conditions, the preset monitoring device is connected to the preset supervision platform through the Internet of Things mode to upload the monitoring data to the preset supervision platform; The monitoring data is associated with the hydropower station information and stored in the database of the preset supervision platform.

5. The method according to claim 1, wherein The uploading of the monitoring data to a preset supervision platform through a preset data uploading method further includes: When it is determined that the preset monitoring device does not meet the preset network condition, obtaining the preset public key data of the preset monitoring device through the preset supervision platform; Encrypting the monitoring data using the preset public key data to obtain encrypted file data; Importing the encrypted file data into the preset supervision platform to parse and verify the encrypted file data; When it is determined that the encrypted file data has passed verification, the monitoring data obtained by parsing is stored in the database of the preset supervision platform.

6. The method according to claim 1, characterized in that When it is determined that the ecological flow data of the hydropower station meets the preset warning condition, performing ecological flow graded warning according to the ecological flow data of the hydropower station includes: When it is determined that the ecological flow data of the hydropower station meets a first warning condition, a first warning message is generated based on the ecological flow data of the hydropower station and the monitoring data, so as to push the first warning message to the first-level management terminal; wherein the first warning condition includes that the number of times that the ecological flow data of the hydropower station is less than a preset warning threshold within a first time period is greater than a preset number threshold, or the number of data records of the ecological flow data of the hydropower station is less than or equal to a preset record threshold; Dynamically monitoring first handling feedback data fed back by the first-level management terminal; When it is determined that the first handling feedback data is not monitored within the second time period, pushing the first warning information to the second-level management terminal; Dynamically monitoring the second handling feedback data fed back by the second-level management terminal; When it is determined that the second handling feedback data is not monitored within the third time period, pushing the first warning information to the third-level management terminal; Dynamically monitoring third handling feedback data fed back by the third-level management terminal; When it is determined that the third handling feedback data is received, a warning handling report is generated according to the third handling feedback data.

7. The method according to claim 1, characterized in that After performing the step of determining that the ecological flow data of the hydropower station meets the preset warning condition and performing ecological flow graded warning according to the ecological flow data of the hydropower station, the method further includes: Acquiring geographic image data of the preset hydropower station; Data visualization is performed based on the ecological flow data of the hydropower station, the graded warning data and the geographic image data to obtain a visual graph of the ecological flow of the hydropower station.

8. A small hydropower ecological flow monitoring system, characterized in that: The system comprises: The first module is used to obtain monitoring data of a preset hydropower station through a preset monitoring device; wherein the monitoring data includes ecological flow data of the hydropower station; The second module is used to upload the monitoring data to a preset supervision platform through a preset data uploading method; wherein the preset data uploading method is determined by the preset monitoring device; The third module is used to perform data analysis based on the ecological flow data of the hydropower station through the preset supervision platform to determine whether the preset warning conditions are met; The fourth module is used to perform ecological flow graded warning according to the ecological flow data of the hydropower station when it is determined that the ecological flow data of the hydropower station meets the preset warning conditions.

9. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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