Water conservancy internet of things device power-on and power-off monitoring method, device and equipment and storage medium

Abstract

The application belongs to the technical field of water conservancy, and discloses a water conservancy Internet of Things equipment power-on and power-off monitoring method, device, equipment and storage medium. The method comprises the following steps: acquiring sensor information of each Internet of Things sensor connected to a water area to be measured; controlling each Internet of Things sensor to perform power-on and power-off according to a preset power-on and power-off strategy according to the sensor information, and extracting monitoring current graph information; determining abnormal operation information according to the monitoring current graph information; determining an abnormal equipment type and an abnormal equipment state according to the abnormal operation information; and determining a power-on and power-off abnormality disposal mode according to the abnormal equipment type and the abnormal equipment state. Through the above method, the consequences such as equipment damage and system disorder are prevented.

Description

Technical Field

[0001] This invention relates to the field of water conservancy technology, and in particular to a method, device, equipment, and storage medium for monitoring the power-on and power-off of water conservancy Internet of Things (IoT) devices. Background Technology

[0002] With the rapid development of the Internet of Things (IoT) industry in recent years, the demand for IoT communication devices has increased dramatically, and the performance requirements for these devices are also becoming increasingly stringent. However, these devices are prone to problems such as firmware loss, configuration parameter loss due to incorrect partitioning, or power-on shocks causing power supply damage. These issues arise from abnormal power-on and power-off behavior, leading to malfunctions. However, current technology cannot adequately test the power-on and power-off behavior of different devices. In the water conservancy sector, for IoT sensors operating in water, it is difficult to promptly identify the type of abnormality and determine appropriate handling methods, which can easily lead to equipment wear and even system damage.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a method, device, equipment, and storage medium for monitoring the power-on and power-off of water conservancy IoT equipment, aiming to solve the technical problem that the existing technology is not intelligent enough in monitoring and diagnosing the power-on and power-off of water conservancy equipment.

[0005] To achieve the above objectives, the present invention provides a method for monitoring the power-on and power-off of water conservancy Internet of Things (IoT) equipment, the method comprising the following steps: Acquire sensor information from each IoT sensor connected to the water area to be measured; Based on the sensor information, control each IoT sensor to power on and off according to a preset power-on / off strategy, and extract monitoring current graph information; Abnormal operation information is determined based on the monitoring current graph information; The abnormal device type and abnormal device status are determined based on the abnormal operation information. The handling method for power-on / off anomalies is determined based on the type and status of the abnormal device.

[0006] Optionally, the step of controlling each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and extracting monitoring current graph information, includes: The power-on / off configuration information of each IoT sensor is determined based on the sensor information. Based on the power-on / off configuration information, control each IoT sensor to perform power-on / off operations according to the preset power-on / off strategy; After performing the power-on and power-off operations, extract the current change information of each IoT sensor; The monitoring current graph information is determined based on the current change information.

[0007] Optionally, determining abnormal operation information based on the monitoring current graph information includes: The time of abnormal current is determined based on the monitoring current graph information; The preset power-on / off strategy is queried based on the abnormal current time to determine the abnormal operation behavior; Abnormal operation information is determined based on the abnormal operation behavior and the abnormal current duration.

[0008] Optionally, determining the abnormal device type and abnormal device status based on the abnormal operation information includes: The abnormal device is identified as the target of the operation based on the abnormal operation information; The type of abnormal device is determined based on the abnormal device; The abnormal device status is obtained by querying the operating status of the abnormal device based on the abnormal device type.

[0009] Optionally, determining the power-on / off anomaly handling method based on the abnormal device type and the abnormal device status includes: The cause of the abnormal accident is determined based on the type and status of the abnormal equipment. Determine the handling method for power-on / off anomalies based on the cause of the aforementioned abnormal accident.

[0010] Optionally, determining the cause of the abnormal accident based on the abnormal equipment type and the abnormal equipment status includes: Based on the type of abnormal equipment, determine whether it is a water-related equipment malfunction, and obtain the equipment determination result; Determine the device's operating status and current information based on the abnormal device status; The cause of the abnormal accident is determined based on the equipment judgment result, the equipment operating status, and the equipment current information.

[0011] Optionally, determining the power-on / off anomaly handling method based on the cause of the abnormal accident includes: Based on the cause of the abnormal accident, determine whether it affects the operation of each IoT sensor, and obtain the first determination result; Based on the cause of the abnormal accident, determine whether there is a risk of equipment damage, and obtain a second determination result; Based on the cause of the abnormal incident, a third determination result is obtained to determine whether there is a risk of system damage. The power-on / off anomaly handling method is determined based on the first determination result, the second determination result, and the third determination result.

[0012] Furthermore, to achieve the above objectives, the present invention also proposes a power-on / off monitoring device for water conservancy IoT equipment, the power-on / off monitoring device for water conservancy IoT equipment comprising: The information acquisition module is used to acquire sensor information from various IoT sensors connected to the water area to be measured. The device power-on / off module is used to control each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and to extract monitoring current graph information. An operation determination module is used to determine abnormal operation information based on the monitoring current graph information. The information extraction module is used to determine the abnormal device type and abnormal device status based on the abnormal operation information; The handling strategy module is used to determine the handling method for power-on / off anomalies based on the type and state of the abnormal device.

[0013] Furthermore, to achieve the above objectives, the present invention also proposes a power-on / off monitoring device for water conservancy IoT equipment. The power-on / off monitoring device for water conservancy IoT equipment includes: a memory, a processor, and a power-on / off monitoring program for water conservancy IoT equipment stored in the memory and executable on the processor. The power-on / off monitoring program for water conservancy IoT equipment is configured to implement the steps of the power-on / off monitoring method for water conservancy IoT equipment as described above.

[0014] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing a power-on / off monitoring program for water conservancy IoT equipment. When the power-on / off monitoring program for water conservancy IoT equipment is executed by a processor, it implements the steps of the power-on / off monitoring method for water conservancy IoT equipment as described above.

[0015] This invention acquires sensor information from various IoT sensors connected to a water area under test; controls each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and extracts monitoring current graph information; determines abnormal operation information based on the monitoring current graph information; determines the abnormal device type and abnormal device status based on the abnormal operation information; and determines the power-on / off anomaly handling method based on the abnormal device type and abnormal device status. In this way, it achieves the following: first, power-on / off operations are performed based on the sensor information of each IoT sensor in the water area under test; then, abnormal operation information is identified based on the monitoring current graph information; further, the abnormal device type and device status are identified based on the abnormal operation information; and finally, a power-on / off anomaly handling method is generated to handle the IoT sensors in the water area, preventing equipment damage and system malfunctions. Attached Figure Description

[0016] Figure 1This is a schematic diagram of the structure of the power-on / off monitoring device for the water conservancy Internet of Things equipment in the hardware operating environment of the embodiment of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the water conservancy Internet of Things (IoT) equipment power-on / off monitoring method of the present invention; Figure 3 This is a flowchart illustrating the second embodiment of the water conservancy Internet of Things (IoT) equipment power-on / off monitoring method of the present invention; Figure 4 This is a structural block diagram of the first embodiment of the power-on / off monitoring device for water conservancy Internet of Things equipment of the present invention.

[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0019] Reference Figure 1 , Figure 1 This is a schematic diagram of the power-on / off monitoring device structure of the water conservancy Internet of Things equipment involved in the hardware operating environment of the embodiment of the present invention.

[0020] like Figure 1 As shown, the power-on / off monitoring device for the water conservancy Internet of Things (IoT) may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0021] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the power-on and power-off monitoring equipment of the water conservancy Internet of Things (IoT) device. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0022] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a power-on / off monitoring program for water conservancy IoT equipment.

[0023] exist Figure 1 In the power-on / off monitoring device for water conservancy IoT devices shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the power-on / off monitoring device for water conservancy IoT devices of the present invention can be set in the power-on / off monitoring device for water conservancy IoT devices. The power-on / off monitoring device for water conservancy IoT devices calls the power-on / off monitoring program for water conservancy IoT devices stored in memory 1005 through the processor 1001 and executes the power-on / off monitoring method for water conservancy IoT devices provided in the embodiments of the present invention.

[0024] This invention provides a method for monitoring the power-on and power-off of water conservancy IoT equipment, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a water conservancy Internet of Things (IoT) equipment power-on and power-off monitoring method according to the present invention.

[0025] In this embodiment, the power-on / off monitoring method for the water conservancy IoT equipment includes the following steps: Step S10: Obtain sensor information from each IoT sensor connected to the water area to be measured.

[0026] It should be noted that the execution entity in this embodiment is a server, which can be a cloud server or a physical server. It is mainly a server that can realize Internet of Things (IoT) functions and is connected to various IoT sensors in the water area to be measured. It can also be any device that can realize this function. This embodiment does not limit it.

[0027] It should be understood that IoT sensors refer to water monitoring sensors that are connected and paired with servers or IoT in the water area to be measured.

[0028] In practice, sensor information includes, but is not limited to, the device type of each IoT sensor, the power-on and power-off operations that can be performed, and the standard current during power-on and power-off.

[0029] Step S20: Control each IoT sensor to power on and off according to the preset power-on / off strategy based on the sensor information, and extract the monitoring current graph information.

[0030] It should be noted that the preset power-on / off strategy refers to the power-on / off operation strategy formulated according to the different device types or models of IoT sensors. The preset power-on / off control strategy is imported into the MCU to generate corresponding control signals, thereby automating continuous testing and realizing continuous power-on / off testing of various IoT sensors under different conditions.

[0031] Furthermore, in order to accurately extract the monitoring current graph, step S20 includes: determining the power-on / off configuration information of each IoT sensor based on the sensor information; controlling each IoT sensor to perform power-on / off operations according to a preset power-on / off strategy based on the power-on / off configuration information; extracting the current change information of each IoT sensor after performing the power-on / off operations; and determining the monitoring current graph information based on the current change information.

[0032] It should be understood that power-on / off configuration information refers to the different current, voltage, and other configuration parameters required by each IoT sensor when performing power-on / off operations.

[0033] In specific implementation, controlling each IoT sensor to perform power-on and power-off operations according to the preset power-on and power-off configuration information means: importing the preset power-on and power-off control strategy and the corresponding test parameters such as current and voltage into the MCU to generate corresponding control signals, thereby automating continuous testing, realizing continuous power-on and power-off testing of each IoT sensor under different conditions, realizing different types of power-on and power-off conditions, and greatly improving the stability of IoT communication devices that have been successfully tested.

[0034] It should be noted that after the power-on and power-off operations are performed, each IoT sensor has already performed multiple consecutive power-on and power-off tests. At this time, by acquiring the current value of each IoT sensor during the power-on and power-off operations and the curve of the current changing over time, we can obtain the monitoring current graph information.

[0035] In this way, each IoT sensor is powered on and off according to a preset power-on / off strategy, and then the monitoring current graph information of each IoT sensor is extracted, which facilitates the subsequent identification of abnormal operation information.

[0036] Step S30: Determine abnormal operation information based on the monitoring current graph information.

[0037] It should be understood that abnormal operation information refers to a specific power-on or power-off operation that caused the equipment to operate normally or cause an abnormal current, as determined by the monitoring current graph information.

[0038] Furthermore, in order to determine abnormal operation information, step S30 includes: determining the abnormal current time based on the monitoring current graph information; querying the preset power-on / off strategy based on the abnormal current time to determine the abnormal operation behavior; and determining abnormal operation information based on the abnormal operation behavior and the abnormal current time.

[0039] In practice, the monitoring current graph information is compared with the standard current range corresponding to each IoT sensor, and the time corresponding to the current curve that exceeds the standard current range is taken as the abnormal current time.

[0040] It should be noted that after the abnormal current time is determined, the preset power-on / off strategy is queried according to the abnormal current time. The single power-on / off operation performed at the moment corresponding to the abnormal current time is then identified according to the preset power-on / off strategy as the abnormal operation behavior.

[0041] It should be understood that after the abnormal operation behavior and abnormal current time are determined, the abnormal operation behavior and abnormal current time are matched, and the abnormal operation information is obtained by combining the current magnitude of the abnormal current time.

[0042] In this way, abnormal operation information can be determined based on the monitoring current graph information. It can accurately capture the single up and down point operation that is abnormal based on the current data, thereby determining the abnormal equipment and equipment status.

[0043] Step S40: Determine the abnormal device type and abnormal device status based on the abnormal operation information.

[0044] In practice, the abnormal device type refers to the type of IoT sensor of the target of the abnormal operation in the abnormal operation information, which can be: water-related equipment, non-water-related equipment, water flow detection equipment, water level monitoring equipment, etc.

[0045] It should be noted that abnormal equipment status refers to the current operating status and current status of the abnormal equipment at the current moment.

[0046] Furthermore, in order to determine the abnormal device type and abnormal device status, step S40 includes: determining the abnormal device as the operation target based on the abnormal operation information; determining the abnormal device type based on the abnormal device; querying the operating status of the abnormal device based on the abnormal device type to obtain the abnormal device status.

[0047] It should be understood that abnormal devices refer to the IoT sensors that are the targets of the abnormal operation behaviors in the abnormal operation information.

[0048] In specific implementation, determining the abnormal device type based on the abnormal device means: identifying the device type to which the abnormal device belongs, where the device type can include more than one, and the abnormal device can have multiple different device types. Then, the device type of the abnormal device is used as the abnormal device type.

[0049] It should be noted that after determining the type of abnormal device, the current operating status of the abnormal device is queried, and the current operating status of the abnormal device is used as the abnormal device status.

[0050] In this way, the type and status of abnormal equipment can be accurately determined, thereby enabling the accurate generation of corresponding power-on / off anomaly handling methods.

[0051] Step S50: Determine the power-on / off anomaly handling method based on the abnormal device type and the abnormal device status.

[0052] It should be understood that the power-on / off anomaly handling methods refer to different handling methods generated according to the different types and states of the abnormal equipment, in order to handle the abnormal state of the abnormal equipment.

[0053] In specific implementation, determining the power-on / off anomaly handling method based on the abnormal equipment type and the abnormal equipment status means: analyzing the cause of the abnormal accident based on the abnormal equipment type and the abnormal equipment status, and then generating different power-on / off anomaly handling methods based on the different causes of the abnormal accident.

[0054] This embodiment acquires sensor information from various IoT sensors connected to the water area under test; controls each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and extracts monitoring current graph information; determines abnormal operation information based on the monitoring current graph information; determines the abnormal device type and abnormal device status based on the abnormal operation information; and determines the power-on / off anomaly handling method based on the abnormal device type and abnormal device status. In this way, it achieves the following: first, power-on / off operations are performed based on the sensor information of each IoT sensor in the water area under test; then, abnormal operation information is identified based on the monitoring current graph information; furthermore, the abnormal device type and device status are identified based on the abnormal operation information, thereby generating a power-on / off anomaly handling method to deal with the IoT sensors in the water area, preventing equipment damage and system malfunctions.

[0055] refer to Figure 3 , Figure 3 This is a flowchart illustrating the second embodiment of a water conservancy Internet of Things (IoT) equipment power-on and power-off monitoring method according to the present invention.

[0056] Based on the first embodiment described above, the water conservancy IoT equipment power-on / off monitoring method of this embodiment includes the following in step S50: Step S501: Determine the cause of the abnormal accident based on the abnormal equipment type and the abnormal equipment status.

[0057] It should be noted that the type and status of abnormal equipment can determine the cause of abnormal accidents. Specifically, the type of abnormal equipment determines whether the abnormal equipment is deep-water equipment, and the operating status and current status of the equipment determine the cause of the abnormal accident.

[0058] Furthermore, in order to accurately determine the cause of the abnormal accident, step S501 includes: determining whether the abnormal equipment is a water-related equipment based on the abnormal equipment type, and obtaining the equipment determination result; determining the equipment operating status and equipment current information based on the abnormal equipment status; and determining the cause of the abnormal accident based on the equipment determination result, the equipment operating status, and the equipment current information.

[0059] It should be understood that water-related equipment refers to IoT sensors that need to come into contact with water during normal operation. Determining whether a device is malfunctioning based on its abnormal equipment type, and obtaining the equipment determination result, means first determining whether the device's normal operation requires contact with water based on its abnormal equipment type; the resulting determination is the equipment determination result.

[0060] In practical implementation, equipment operating status refers to the current operating state of the equipment, such as: normal operation, fault-suspended operation, no response, etc. Equipment current information refers to the current magnitude and other conditions of abnormal equipment at the current moment.

[0061] It should be noted that determining the cause of the abnormal accident based on the equipment judgment result, the equipment working status, and the equipment current information means: first, determining whether the abnormal equipment is a water-contact type based on the equipment judgment result; then, determining whether the normal operation of the abnormal equipment is affected based on the equipment working status and the equipment current information, and whether there are situations such as normal current but inability to work, thereby determining whether the cause of the abnormal accident is water ingress, leakage, or other special reasons.

[0062] In this way, it is possible to determine the cause of abnormal accidents by combining whether the equipment is in water-related equipment with the equipment's operating status and current information, thus enabling the identification of special faults in water sensors such as water ingress and leakage.

[0063] Step S502: Determine the handling method for power-on / off abnormalities based on the cause of the abnormal accident.

[0064] It should be understood that the handling methods for power-on / off anomalies are based on a comprehensive assessment of the different causes of the anomalies, whether they affect the operation of other IoT sensors, whether there is a risk of equipment damage, and whether there is a risk of system damage.

[0065] Furthermore, in order to determine the most reasonable handling method for power-on / off anomalies, a first determination result is obtained by determining whether the cause of the anomaly affects the operation of each IoT sensor; a second determination result is obtained by determining whether there is a risk of equipment damage based on the cause of the anomaly; a third determination result is obtained by determining whether there is a risk of system damage based on the cause of the anomaly; and a handling method for power-on / off anomalies is determined based on the first determination result, the second determination result, and the third determination result.

[0066] In specific implementation, determining whether the cause of the abnormal incident affects the operation of each IoT sensor, and obtaining the first determination result, means: based on the cause of the abnormal incident, first determining whether the abnormality of the abnormal device will affect the normal operation of other IoT sensors. For example, when multiple IoT sensors are connected in series, if the abnormal device has a leakage current, it will affect other IoT sensors connected in series; if the abnormal device has a network connection abnormality, it may disrupt the data upload of other devices, etc. Finally, the first determination result is obtained.

[0067] It should be noted that determining whether there is a risk of equipment damage based on the cause of the abnormal accident and obtaining the second determination result means: further determining whether the abnormal cause of the abnormal equipment will lead to damage to the abnormal equipment or other IoT sensors, and obtaining the second determination result. For example, when the abnormal equipment is flooded, it will affect other IoT sensors that are physically connected to the abnormal equipment.

[0068] It should be understood that determining whether there is a risk of system damage based on the cause of the abnormal accident and obtaining the third determination result means: determining whether there is an abnormal state of abnormal equipment that may cause damage or disorder to the entire Internet of Things system based on the cause of the abnormal accident, and obtaining the determination result is the third determination result.

[0069] In specific implementation, determining the power-on / off anomaly handling method based on the first, second, and third determination results means: when all three results indicate a risk, the power-on / off anomaly handling method is to suspend the operation of the entire system and notify maintenance personnel; when the first result indicates an impact, and the second and third results indicate no risk of equipment or system damage, the power-on / off anomaly handling method is to power off the abnormal equipment for maintenance; when either the second or third result indicates a risk, the power-on / off anomaly handling method is to shut down the entire system.

[0070] In this way, different power-on / off anomaly handling methods are implemented based on different judgment results (first, second, and third), achieving more intelligent anomaly handling.

[0071] This embodiment determines the cause of the abnormal accident based on the type and state of the abnormal device; and determines the handling method for power-on / off anomalies based on the cause of the abnormal accident. In this way, it achieves automatic handling of power-on / off anomalies without manual intervention, and provides different handling methods based on different causes, making the handling methods more adaptable.

[0072] Furthermore, this embodiment of the invention also proposes a storage medium storing a power-on / off monitoring program for water conservancy IoT equipment. When the power-on / off monitoring program for water conservancy IoT equipment is executed by a processor, it implements the steps of the power-on / off monitoring method for water conservancy IoT equipment as described above.

[0073] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be elaborated here.

[0074] Reference Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the power-on / off monitoring device for water conservancy Internet of Things equipment of the present invention.

[0075] like Figure 4 As shown, the power-on / off monitoring device for water conservancy IoT equipment proposed in this embodiment of the invention includes: The information acquisition module 10 is used to acquire sensor information from each IoT sensor connected to the water area to be measured.

[0076] The device power-on / off module 20 is used to control each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and to extract monitoring current graph information.

[0077] Operation determination module 30 is used to determine abnormal operation information based on the monitoring current graph information.

[0078] The information extraction module 40 is used to determine the abnormal device type and abnormal device status based on the abnormal operation information.

[0079] The handling strategy module 50 is used to determine the handling method for power-on / off anomalies based on the abnormal device type and the abnormal device status.

[0080] This embodiment acquires sensor information from various IoT sensors connected to the water area under test; controls each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and extracts monitoring current graph information; determines abnormal operation information based on the monitoring current graph information; determines the abnormal device type and abnormal device status based on the abnormal operation information; and determines the power-on / off anomaly handling method based on the abnormal device type and abnormal device status. In this way, it achieves the following: first, power-on / off operations are performed based on the sensor information of each IoT sensor in the water area under test; then, abnormal operation information is identified based on the monitoring current graph information; furthermore, the abnormal device type and device status are identified based on the abnormal operation information, thereby generating a power-on / off anomaly handling method to deal with the IoT sensors in the water area, preventing equipment damage and system malfunctions.

[0081] In one embodiment, the device power-on / off module 20 is further configured to determine the power-on / off configuration information of each IoT sensor based on the sensor information; control each IoT sensor to perform power-on / off operations according to a preset power-on / off strategy based on the power-on / off configuration information; after performing the power-on / off operations, extract the current change information of each IoT sensor; and determine the monitoring current graph information based on the current change information.

[0082] In one embodiment, the operation determination module 30 is further configured to determine the abnormal current time based on the monitoring current graph information; query the preset power-on / off strategy based on the abnormal current time to determine the abnormal operation behavior; and determine the abnormal operation information based on the abnormal operation behavior and the abnormal current time.

[0083] In one embodiment, the information extraction module 40 is further configured to determine the abnormal device as the operation target based on the abnormal operation information; determine the abnormal device type based on the abnormal device; and query the operating status of the abnormal device based on the abnormal device type to obtain the abnormal device status.

[0084] In one embodiment, the handling strategy module 50 is further configured to determine the cause of the abnormal accident based on the abnormal device type and the abnormal device status; and determine the power-on / off abnormal handling method based on the cause of the abnormal accident.

[0085] In one embodiment, the handling strategy module 50 is further configured to determine whether the abnormal equipment is a water-related equipment based on the abnormal equipment type, and obtain an equipment determination result; determine the equipment operating status and equipment current information based on the abnormal equipment status; and determine the cause of the abnormal accident based on the equipment determination result, the equipment operating status, and the equipment current information.

[0086] In one embodiment, the handling strategy module 50 is further configured to determine whether the operation of each IoT sensor is affected based on the cause of the abnormal accident, and obtain a first determination result; determine whether there is a risk of equipment damage based on the cause of the abnormal accident, and obtain a second determination result; determine whether there is a risk of system damage based on the cause of the abnormal accident, and obtain a third determination result; and determine the power-on / off abnormal handling method based on the first determination result, the second determination result, and the third determination result.

[0087] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0088] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0089] In addition, for technical details not described in detail in this embodiment, please refer to the water conservancy Internet of Things equipment power-on and power-off monitoring method provided in any embodiment of the present invention, which will not be repeated here.

[0090] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0091] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0092] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0093] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for monitoring the power-on and power-off of water conservancy Internet of Things (IoT) equipment, characterized in that, The power-on / off monitoring method for the water conservancy IoT equipment includes: Acquire sensor information from each IoT sensor connected to the water area to be measured; Based on the sensor information, control each IoT sensor to power on and off according to a preset power-on / off strategy, and extract monitoring current graph information; Abnormal operation information is determined based on the monitoring current graph information; The abnormal device type and abnormal device status are determined based on the abnormal operation information. The handling method for power-on / off anomalies is determined based on the type and status of the abnormal device. The step of controlling each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and extracting monitoring current graph information, includes: The power-on / off configuration information of each IoT sensor is determined based on the sensor information. Based on the power-on / off configuration information, control each IoT sensor to perform power-on / off operations according to the preset power-on / off strategy; After performing the power-on and power-off operations, extract the current change information of each IoT sensor; The monitoring current graph information is determined based on the current change information.

2. The method as described in claim 1, characterized in that, The step of determining abnormal operation information based on the monitoring current graph information includes: The time of abnormal current is determined based on the monitoring current graph information; The preset power-on / off strategy is queried based on the abnormal current time to determine the abnormal operation behavior; Abnormal operation information is determined based on the abnormal operation behavior and the abnormal current duration.

3. The method as described in claim 1, characterized in that, Determining the abnormal device type and abnormal device status based on the abnormal operation information includes: The abnormal device is identified as the target of the operation based on the abnormal operation information; The type of abnormal device is determined based on the abnormal device; The abnormal device status is obtained by querying the operating status of the abnormal device based on the abnormal device type.

4. The method as described in claim 1, characterized in that, The step of determining the power-on / off anomaly handling method based on the abnormal device type and the abnormal device status includes: The cause of the abnormal accident is determined based on the type and status of the abnormal equipment. Determine the handling method for power-on / off anomalies based on the cause of the aforementioned abnormal accident.

5. The method as described in claim 4, characterized in that, The step of determining the cause of the abnormal accident based on the abnormal equipment type and the abnormal equipment status includes: Based on the type of abnormal equipment, determine whether it is a water-related equipment malfunction, and obtain the equipment determination result; Determine the device's operating status and current information based on the abnormal device status; The cause of the abnormal accident is determined based on the equipment judgment result, the equipment operating status, and the equipment current information.

6. The method as described in claim 4, characterized in that, The method for handling power-on / off anomalies based on the cause of the abnormal accident includes: Based on the cause of the abnormal accident, determine whether it affects the operation of each IoT sensor, and obtain the first determination result; Based on the cause of the abnormal accident, determine whether there is a risk of equipment damage, and obtain a second determination result; Based on the cause of the abnormal incident, a third determination result is obtained to determine whether there is a risk of system damage. The power-on / off anomaly handling method is determined based on the first determination result, the second determination result, and the third determination result.

7. A power-on / off monitoring device for water conservancy Internet of Things (IoT) equipment, characterized in that, The power-on / off monitoring device for the water conservancy IoT equipment includes: The information acquisition module is used to acquire sensor information from various IoT sensors connected to the water area to be measured. The device power-on / off module is used to control each IoT sensor to power on and off according to a preset power-on / off strategy based on the sensor information, and to extract monitoring current graph information. An operation determination module is used to determine abnormal operation information based on the monitoring current graph information. The information extraction module is used to determine the abnormal device type and abnormal device status based on the abnormal operation information; The handling strategy module is used to determine the handling method for power-on / off anomalies based on the type and state of the abnormal device. The device power-on / off module is further configured to determine the power-on / off configuration information of each IoT sensor based on the sensor information; control each IoT sensor to perform power-on / off operations according to a preset power-on / off strategy based on the power-on / off configuration information; extract the current change information of each IoT sensor after performing the power-on / off operations; and determine the monitoring current graph information based on the current change information.

8. A power-on / off monitoring device for water conservancy Internet of Things (IoT) equipment, characterized in that, The device includes: a memory, a processor, and a power-on / off monitoring program for water conservancy IoT devices stored in the memory and executable on the processor, wherein the power-on / off monitoring program for water conservancy IoT devices is configured to implement the power-on / off monitoring method for water conservancy IoT devices as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a power-on / off monitoring program for water conservancy IoT equipment. When the power-on / off monitoring program for water conservancy IoT equipment is executed by the processor, it implements the power-on / off monitoring method for water conservancy IoT equipment as described in any one of claims 1 to 6.

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