Hydrological sensing equipment operation and maintenance monitoring method, device, and equipment

Abstract

The present invention discloses a method for monitoring the operation and maintenance of hydrological sensing equipment, comprising the steps of: presetting early warning rules on a constructed operation and maintenance platform; obtaining monitored hydrological data; inputting the obtained hydrological data into the early warning rules, and giving an alarm when the hydrological data meets the early warning rules. Main technical scheme and effect: The method for monitoring the operation and maintenance of hydrological sensing equipment provided by the present invention can not only continuously track the status of the equipment through real-time monitoring and analysis technology, but also monitor and give an early warning in real time when the equipment is abnormal or the hydrological data fluctuates.

Description

Technical Field

[0001] The present invention relates to the field of hydrology and automation equipment operation and maintenance, and in particular to a method, device and equipment for monitoring operation and maintenance of hydrological sensing equipment. Background Art

[0002] In the water conservancy industry, the application of information technology is becoming more and more common. In the hydrological field, sensing devices are usually used to monitor changes in water levels and rainfall, and transmit them to the central server for use by the application system. The application system distributes these data, displays the changing trends of hydrological data, alarm information, and predicts future water level changes. Therefore, hydrological data has very high requirements for continuous stability, and requires timely detection of abnormal conditions of hydrological sensing equipment.

[0003] However, current systems usually rely on continuous data transmission to monitor device status. Once data transmission is interrupted, it is discovered that the device may have a fault. This method has a lag and cannot detect and deal with potential equipment problems in a timely manner, especially at critical moments, which may lead to catastrophic consequences. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to solve the problem in the prior art that the current system usually relies on the continuous transmission of data to monitor the status of the equipment. Once the data transmission is interrupted, it will be discovered that the equipment may have a fault. A method for operation and maintenance monitoring of hydrological sensing equipment is provided to realize the use of real-time monitoring and analysis technology. It can detect in real time when the equipment has an abnormality or data fluctuation. By adding multi-signal monitoring, a comprehensive judgment can be made on the equipment and an early warning can be given, rather than relying solely on the interruption of hydrological data to make judgments.

[0005] One or more embodiments of this specification also relate to a hydrological sensing equipment operation and maintenance monitoring device, an electronic device, a computer-readable storage medium and a computer program product to solve the technical defects existing in the prior art.

[0006] Technical solution:

[0007] In the first aspect, the present application proposes a method for operation and maintenance monitoring of hydrological sensing equipment, comprising the steps of:

[0008] Preset warning rules on the established operation and maintenance platform;

[0009] Obtain monitored hydrological data;

[0010] The acquired hydrological data is input into the early warning rules, and an alarm is issued when the hydrological data meets the early warning rules.

[0011] Preferably, the warning rules are preset on the operation and maintenance platform, including:

[0012] The early warning rules compare hydrological data with thresholds, and a warning is issued when the threshold requirements are met.

[0013] Preferably, the warning rules are preset on the operation and maintenance platform, including:

[0014] Determine whether the data changes meet the threshold requirements based on the time series.

[0015] Preferably, judging whether the change of data meets the threshold requirement according to the time series includes:

[0016] By obtaining the value of the hydrological data before a time point and comparing it with the current hydrological data value, if the difference between the current data and the data at the previous moment exceeds the set threshold, it is judged as a data mutation and triggers an early warning.

[0017] Preferably, judging whether the change of data meets the threshold requirement according to the time series includes:

[0018] By calculating the standard deviation of hydrological data changes over a period of time, if the standard deviation exceeds the set threshold, it is considered that the data has large fluctuations and an abnormal warning is triggered.

[0019] Preferably, the monitored hydrological data is obtained, including:

[0020] Monitor device signals, data transmitted over the network, and data captured by third-party tools.

[0021] Preferably, the monitored hydrological data is obtained, including:

[0022] Read hydrological data according to the timeline.

[0023] Preferably, the warning rule compares the hydrological data with the threshold, and a warning is issued when the threshold requirement is met, including:

[0024] When the number of times an early warning is triggered within a time interval reaches a preset number, the early warning information will be sent to the target object. The customized early warning sending method includes sending the early warning information to the target object via SMS, WeChat, and email.

[0025] In a second aspect, the present invention provides a hydrological sensing equipment operation and maintenance monitoring device, comprising:

[0026] Preset unit, preset warning rules on the built operation and maintenance platform;

[0027] An acquisition unit, used for acquiring the monitored hydrological data;

[0028] The early warning unit is used to input the acquired hydrological data into the early warning rules and to issue an alarm when the hydrological data meets the early warning rules.

[0029] In a third aspect, the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the computer program is executed by the processor, the processor implements the method described in the above embodiment.

[0030] In a fourth aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method as described in any one of the above embodiments is implemented.

[0031] In a fifth aspect, an embodiment of the present invention further provides a computer program product, which, when executed on an electronic device, enables the electronic device to execute any possible design method of any of the above aspects.

[0032] Beneficial effects: The hydrological sensing equipment operation and maintenance monitoring method provided by the present invention can not only continuously track the status of the equipment through real-time monitoring and analysis technology, but also detect and issue early warnings in real time when the equipment is abnormal or the hydrological data fluctuates. Compared with the traditional method of relying on data transmission interruption to judge equipment failure, this method significantly improves the timeliness of fault detection and avoids potential catastrophic consequences caused by equipment problems.

[0033] The operation and maintenance platform supports the setting of multiple warning rules, including comparison of hydrological data with thresholds, data mutation detection, standard deviation analysis, etc., so that the system can flexibly adjust the warning strategy according to different situations, judge data fluctuations by thresholds, and even identify anomalies based on time series analysis, which provides more operating space for equipment maintenance and management;

[0034] The present invention provides flexible ways to send warning information, such as SMS, WeChat, email, etc., and can send warning information to relevant personnel or target objects in a timely manner as needed. This measure can ensure that key personnel can grasp the status of the equipment in the first place and take quick action to deal with it. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Provide a schematic diagram of the method framework for the present invention;

[0036] Figure 2 Provide an overall structural schematic diagram for the present invention;

[0037] Figure 3 Provide a data flow diagram for the present invention;

[0038] Figure 4 is a schematic diagram of the structure of a device provided by an embodiment of the present application;

[0039] Figure 5This is a structural block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the specific embodiments of the accompanying drawings.

[0041] Example 1

[0042] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein should be understood by people with general skills in the field to which the present invention belongs. "Including" and similar words used in this article mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0043] In view of the problems existing in the existing technology, such as Figure 1-3 As shown, a method for monitoring the operation and maintenance of hydrological sensing equipment includes the following steps:

[0044] S101, preset warning rules on the built operation and maintenance platform;

[0045] In some specific embodiments, the warning rules are preset on the operation and maintenance platform, including:

[0046] The early warning rules compare hydrological data with thresholds, and a warning is issued when the threshold requirements are met.

[0047] Specifically, by setting early warning rules on the operation and maintenance platform, the hydrological data is compared with the preset threshold. When the hydrological data exceeds the preset threshold, the system automatically triggers an early warning. This rule setting method is simple and efficient, and can help to promptly detect abnormal hydrological changes, such as abnormal water levels, excessive rainfall, etc., so that measures can be taken early to prevent catastrophic consequences.

[0048] In some specific embodiments, the warning rules are preset on the operation and maintenance platform, including:

[0049] Determine whether the data changes meet the threshold requirements based on the time series.

[0050] Specifically, by analyzing the time series of hydrological data, the operation and maintenance platform can determine whether the trend of data changes meets the preset threshold requirements. This time series judgment method not only takes into account the current value of the data, but also reflects the time change characteristics of the data, thereby more accurately identifying potential equipment problems. For example, some equipment may experience abnormal fluctuations over a period of time. The abnormal value at a single moment cannot fully reflect the equipment failure, but time series analysis can comprehensively consider the data changes and provide more comprehensive monitoring.

[0051] In some specific embodiments, judging whether the change of data meets the threshold requirement according to the time series includes:

[0052] By obtaining the value of the hydrological data before a time point and comparing it with the current hydrological data value, if the difference between the current data and the data at the previous moment exceeds the set threshold, it is judged as a data mutation and triggers an early warning.

[0053] Specifically, in the time series judgment rules, the system will judge whether the data has a mutation by comparing the current data with the hydrological data value at the previous time point. If the difference between the current data and the data at the previous moment exceeds the set threshold, it is considered that the hydrological data has a mutation and triggers an early warning. Mutation detection can effectively detect sudden hydrological changes, such as extreme weather conditions such as heavy rains, and quickly issue an alarm to reduce losses caused by failure to discover emergencies in a timely manner.

[0054] In some specific embodiments, judging whether the change of data meets the threshold requirement according to the time series includes:

[0055] By calculating the standard deviation of hydrological data changes over a period of time, if the standard deviation exceeds the set threshold, it is considered that the data has large fluctuations and an abnormal warning is triggered.

[0056] Specifically, by calculating the standard deviation of hydrological data over a period of time, if the standard deviation of hydrological data changes exceeds the set threshold, the system will determine that the data has a large fluctuation and trigger an abnormal warning. This standard deviation analysis method can identify those abnormal situations with large fluctuations and help operation and maintenance personnel respond to possible equipment failures or drastic changes in the environment in a timely manner.

[0057] In some specific embodiments, warning rules are configured, including comparison of water level, rainfall, flow rate with warning values, whether there are sudden changes in water level and flow rate, how long it takes for voltage and temperature to exceed warning values ​​before generating a warning, etc.

[0058] Specifically, when configuring warning rules, data such as water level, rainfall, and flow can be compared with pre-set warning values. If these data exceed the set warning values, the system automatically triggers a warning. For example, when water level data exceeds a certain set warning value, it may indicate an impending flood or a risk of equipment leakage. Similarly, an abnormal increase in rainfall or flow may also indicate an impending extreme weather or environmental disaster. Through these rules, the system can quickly identify possible risks and issue warnings in advance.

[0059] Sudden changes in data such as water level and flow are usually important signals of equipment failure or environmental changes. For example, a sharp rise in water level may be caused by damage to the dam or flood discharge. When configuring rules, you can judge sudden changes in water level and flow.

[0060] How long does it take for the voltage and temperature to exceed the warning value before a warning is generated? For key parameters such as the voltage and temperature of the equipment, when setting the warning rules, you need to set not only the threshold, but also the duration of the threshold being exceeded. For example, if the equipment voltage exceeds the set value but the duration is short, the system may not trigger the warning immediately, but instead set a threshold. Only when the voltage exceeds the warning value for a period of time (such as 5 minutes or 10 minutes) will the warning be triggered. Similar rules also apply to the monitoring of temperature anomalies. If the temperature is higher than the set range for a long time, it may mean that the equipment is overloaded or has a fault. Through this rule, the system can avoid false alarms and promptly remind operation and maintenance personnel to conduct inspections and maintenance in cases such as equipment overheating or voltage instability.

[0061] S102, obtaining monitored hydrological data;

[0062] In some specific embodiments, obtaining the monitored hydrological data includes:

[0063] Monitor device signals, data transmitted over the network, and data captured by third-party tools.

[0064] In some specific embodiments, the signal of the monitoring device includes voltage, temperature, operating status, monitoring data, etc.

[0065] Specifically, the voltage signal reflects the working status of the monitoring device and can determine whether the device is operating normally. If the voltage of the device exceeds the set normal range, it may indicate that the device is faulty or abnormal and needs to be inspected or repaired;

[0066] Large voltage fluctuations may also mean a power supply problem, affecting the normal operation of the device;

[0067] Temperature signals are used to monitor temperature changes of the device itself or its environment. For some devices, such as water pumps, batteries, sensors, etc., temperature changes may directly affect their performance or lifespan;

[0068] Too high or too low a temperature may indicate that the device is overloaded, the heat dissipation is poor, or the environmental conditions are abnormal, and timely measures need to be taken;

[0069] The operating status signal reflects the working status of the monitoring equipment. Common statuses include: normal, standby, fault, etc.

[0070] If the equipment is in a faulty state, the system will promptly issue an alarm and recommend repair or replacement;

[0071] Monitoring data:

[0072] Water level data: Monitoring water level changes in water bodies can determine whether there is a risk of natural disasters such as floods and droughts;

[0073] Flow data: Monitoring flow changes, especially water flow, can assess the flow conditions of water bodies and determine whether there are problems such as floods;

[0074] Rainfall data: record precipitation. By monitoring rainfall, the probability of floods, flash floods, etc. can be predicted;

[0075] Other environmental data: such as humidity, air pressure, etc., help to more comprehensively understand the status of the hydrological environment.

[0076] In some specific embodiments, the data transmitted over the network includes water level, rainfall, flow, etc. obtained through an API.

[0077] In some specific embodiments, the data captured by the third-party tool includes monitoring data captured by third-party tools such as Prometheus and network security monitoring tools.

[0078] Specifically, Prometheus is an open source monitoring system and time series database, which is widely used to collect and store monitoring data of applications and systems. It periodically obtains monitoring data from target services (such as databases, application servers, network devices, etc.) through a configured crawling mechanism;

[0079] Network security monitoring tools (such as Zabbix, Nagios, SecurityOnion, etc.) are used to monitor and analyze the security status of networks, devices, and systems, helping to identify potential security threats and abnormal activities.

[0080] In some specific embodiments, the source of the elements, the judgment rules for element anomalies and the logic of early warning can be customized.

[0081] In some specific embodiments, regarding the source of custom elements: this application complies with the national standard "Hydrological Monitoring Data Communication Protocol" for signal access of hydrological sensing equipment. The access signal can adopt the Internet of Things MQTT protocol, TCP protocol, and can access the device signal by configuring the Internet of Things protocol. It can also access the protocol parsing program to parse non-standard signals, perform data analysis after accessing the signal, perform business logic processing on the parsed data, and perform data persistence.

[0082] Specifically, this application supports the signal access of hydrological sensing devices, and the devices can be accessed through the Internet of Things communication protocol (such as MQTT protocol, TCP protocol). Different types of devices and signal sources can be integrated with the monitoring platform through these standardized protocols. After accessing the signal, the signal data needs to be parsed first. The data formats of different protocols may be inconsistent. Therefore, the data after access needs to be uniformly processed through the parsing program to extract valid hydrological monitoring data. The parsed data will be processed according to the business logic preset by the system. The processing of business logic includes analysis, calculation and transformation of data, such as anomaly detection, trend analysis, and data normalization of real-time hydrological data. After completing data parsing and business logic processing, the processed data will be persistently stored. These data will be stored in a database or data warehouse for subsequent query, analysis, and report generation.

[0083] In some specific embodiments, the present invention supports accessing hydrological monitoring data through an API. The data provider can provide a data interface in accordance with the API interface specification through the system standard API interface specification, or parse the API interface data through a custom parsing method for an API return data interface that conforms to the JSON format.

[0084] Specifically, the present invention allows access to hydrological monitoring data through a standard API interface. There are two ways to access hydrological monitoring data:

[0085] Standard API interface specifications: Data providers can provide data interfaces according to the system's preset API interface specifications. These standard interfaces ensure the uniformity and operability of data formats, allowing the system to easily obtain external data;

[0086] Custom parsing interface: For data sources that do not conform to standard interface specifications, you can use custom parsing methods to process the data returned by the API, support parsing of data in JSON format, and provide flexible data access methods to meet the needs of different data sources.

[0087] In some specific embodiments, the data storage service of the present invention adopts a microservice architecture built by SpringCloud, which can support the addition of processing nodes according to the number of device accesses, ensure independent operation of the service, and be easy to develop and maintain. The data storage service adopts a distributed deployment, which can load a large number of device accesses and improve the availability of the overall system architecture.

[0088] Specifically, it is built based on SpringCloud: the data storage service of the present invention is built through the SpringCloud microservice architecture. SpringCloud is a framework for building distributed systems. It provides some out-of-the-box functions, such as service discovery, load balancing, circuit breaker mechanism, configuration management, etc. The use of SpringCloud architecture can effectively decompose complex systems into multiple independent microservices, so that each service has independence, flexibility and scalability. The data storage service adopts distributed deployment and supports horizontal expansion of data storage. When the number of device access increases, processing nodes can be added as needed to achieve system load balancing. Distributed deployment ensures that data storage and processing capabilities can be horizontally expanded as demand grows, supporting large-scale device access.

[0089] In some specific embodiments, obtaining the monitored hydrological data includes:

[0090] Reading hydrological data according to the timeline will change with time. These data have strong time sequence characteristics, are continuously written, and have a large amount of data. They are generally read and analyzed according to the time range.

[0091] For this type of collected data and status data, we use the time series database InfluxDB for data storage. It supports the storage of massive device metadata, which can reach tens of millions or even hundreds of millions. It supports high concurrency and low-latency data updates, and has high performance for large concurrent queries.

[0092] Specifically, hydrological data (such as water level, rainfall, flow, etc.) has a strong time sequence characteristic. Each data point is timestamped and continues to increase over time. This characteristic makes time series databases very suitable for processing such data, because time series databases can effectively perform time range queries and can efficiently store and manage data with timestamps. InfluxDB has a low-latency data update feature and can quickly write hydrological data to the database when it is generated. This is crucial for real-time monitoring and early warning systems to ensure that the system can respond to data changes in the first time, trigger warnings or take necessary actions.

[0093] In some specific embodiments, the hydrological sensing equipment for obtaining water temperature data includes water level monitoring instruments, rain gauges, Doppler flow meters, cameras, etc. The signals that can be generated by the above-mentioned equipment include hydrological data such as water level, rainfall, flow, etc., as well as equipment operation data such as voltage and temperature, and video flow, etc.

[0094] In some specific embodiments, the operation and maintenance platform of the present invention is deployed in the cloud server in the region, and monitoring elements are configured according to monitoring requirements, including water level, rainfall, flow, voltage, temperature, etc.

[0095] S103, inputting the acquired hydrological data into the early warning rules, and generating an alarm when the hydrological data meets the early warning rules.

[0096] In some specific embodiments, the warning rules compare the hydrological data with the threshold, and a warning is issued when the threshold requirement is met, including:

[0097] When the number of times an early warning is triggered within a time interval reaches a preset number, the early warning information will be sent to the target object. The customized early warning sending method includes sending the early warning information to the target object via SMS, WeChat, and email.

[0098] Specifically, the system compares the real-time monitoring data with preset thresholds (such as water level, flow, rainfall, temperature, etc.), and triggers an early warning when the data exceeds or falls below the threshold. These thresholds can be single values ​​or dynamically adjusted based on time range, data fluctuations and other conditions. When the fluctuation or change of the monitoring data within a specific time interval (for example, the past 30 minutes, 1 hour, etc.) meets the preset conditions (such as exceeding the set change range, number of triggers, etc.), the system considers that there is a risk of early warning.

[0099] In some specific embodiments, in terms of the judgment rules for custom element anomalies, the present application supports custom element anomaly judgment rules, including custom logical operations containing elements, abnormal thresholds, etc. The warning rule is an expression containing elements and thresholds, and a warning is generated if it is judged to be true.

[0100] In some specific embodiments, the logical operations of the elements include basic data operation rules such as addition, subtraction, multiplication, division, greater than, less than, equal sign, brackets, etc., and also include logical operations such as AND, OR, and NOT.

[0101] Users can customize the abnormal judgment criteria of elements (such as water level, rainfall, flow, voltage, temperature, etc.) according to actual needs. Each element can set a corresponding threshold, such as when the water level exceeds a certain height or the voltage is lower than a certain value. Once these thresholds are triggered, they will be judged as abnormal. Customized logical operations are supported, such as combining multiple elements into a composite warning rule. Common logical operators include AND, OR, NOT, etc. For example, users can set the rule as: "Water level>10 meters and temperature<5℃", that is, only when the water level exceeds 10 meters and the temperature is lower than 5℃, the system will trigger an early warning. The early warning rule is essentially a logical expression containing elements and thresholds. The expression compares and calculates the real-time data of the element with the preset threshold. If the judgment result is true, an early warning is triggered. For example, a rule expression can be: "Flow>500m 3 / s and water level>8 meters", when both the flow rate and water level exceed the set value, the system will trigger an early warning.

[0102] In some specific embodiments, a specific element abnormality judgment rule may be bound to each device.

[0103] Each device can be associated with multiple elements, such as a water level monitoring instrument and water level, a rain gauge and precipitation, a Doppler flow meter and flow, etc.

[0104] The system allows a set of specific factor anomaly judgment rules to be defined for each device, so that the device data and warning rules can be more refined to adapt to different monitoring needs.

[0105] Each device can have different abnormality judgment rules. The rules can be different according to the type, function and application scenario of the device;

[0106] For example:

[0107] Water level monitoring equipment: Rules may include "water level > 5 meters" or "water level changes suddenly by more than 1 meter";

[0108] Flow monitoring equipment: Rules may include "Flow < 50m 3 / s” or “traffic fluctuation is greater than 10%”;

[0109] Temperature monitoring device: Rules may include "temperature > 40°C" or "temperature is less than a set minimum threshold".

[0110] In some specific embodiments, Figure 4 , and also proposes a hydrological sensing equipment operation and maintenance monitoring device, which is characterized by comprising:

[0111] A preset unit 301 presets warning rules on the constructed operation and maintenance platform;

[0112] An acquisition unit 302 is used to acquire the monitored hydrological data;

[0113] The early warning unit 303 is used to input the acquired hydrological data into the early warning rules and generate an alarm when the hydrological data meets the early warning rules.

[0114] All relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and will not be repeated here.

[0115] In some other embodiments of the present invention, the present invention discloses an electronic device, such as Figure 5 As shown, the electronic device may include: one or more processors 401; a memory 402; a display 403; one or more applications (not shown); and one or more computer programs 404. The above components may be connected via one or more communication buses 405. The one or more computer programs 404 are stored in the memory 402 and configured to be executed by the one or more processors 401. The one or more computer programs 404 include instructions, which may be used to execute the following: Figure 1 to Figure 2 And each step in the corresponding embodiment.

[0116] Through the description of the above implementation methods, technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0117] Each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0118] 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 embodiment of the present invention is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: flash memory, mobile hard disk, read-only memory, random access memory, disk or optical disk and other media that can store program codes.

[0119] The above is only a specific implementation of the embodiment of the present invention, but the protection scope of the embodiment of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the embodiment of the present invention should be included in the protection scope of the embodiment of the present invention. Therefore, the protection scope of the embodiment of the present invention should be based on the protection scope of the claims.

Claims

1. A method for monitoring the operation and maintenance of hydrological sensing equipment, characterized in that: Includes steps: Preset warning rules on the established operation and maintenance platform; Obtain monitored hydrological data; The acquired hydrological data is input into the early warning rules, and an alarm is issued when the hydrological data meets the early warning rules.

2. The method according to claim 1, characterized in that Preset warning rules on the operation and maintenance platform, including: The early warning rules compare hydrological data with thresholds, and a warning is issued when the threshold requirements are met.

3. The method according to claim 1, characterized in that Preset warning rules on the operation and maintenance platform, including: Determine whether the data changes meet the threshold requirements based on the time series.

4. The method according to claim 3, characterized in that Determine whether the data changes meet the threshold requirements based on the time series, including: By obtaining the value of the hydrological data before a time point and comparing it with the current hydrological data value, if the difference between the current data and the data at the previous moment exceeds the set threshold, it is judged as a data mutation and triggers an early warning.

5. The method according to claim 3, characterized in that: Determine whether the data changes meet the threshold requirements based on the time series, including: By calculating the standard deviation of hydrological data changes over a period of time, if the standard deviation exceeds the set threshold, it is considered that the data has large fluctuations and an abnormal warning is triggered.

6. The method according to claim 1, characterized in that Obtain monitored hydrological data, including: Monitor device signals, data transmitted over the network, and data captured by third-party tools.

7. The method according to claim 1, characterized in that Obtain monitored hydrological data, including: Read hydrological data according to the timeline.

8. The method according to claim 1, characterized in that The warning rules compare hydrological data with thresholds, and issue warnings when the thresholds are met, including: When the number of times an early warning is triggered within a time interval reaches a preset number, the early warning information will be sent to the target object. The customized early warning sending method includes sending the early warning information to the target object via SMS, WeChat, and email.

9. A hydrological sensing equipment operation and maintenance monitoring device, characterized in that: include: The preset unit is used to preset warning rules on the constructed operation and maintenance platform; An acquisition unit, used for acquiring the monitored hydrological data; The early warning unit is used to input the acquired hydrological data into the early warning rules and to issue an alarm when the hydrological data meets the early warning rules.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the computer program is executed by the processor, the processor implements the method according to any one of claims 1 to 8.

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