Early warning information sending method and system, and storage medium

Abstract

The application relates to a pre-warning information sending method, a system and a storage medium thereof. The pre-warning information sending method comprises the following steps: determining a characteristic device according to monitoring information of a power device; configuring priority information of the characteristic device according to monitoring information of the characteristic device; and sending pre-warning information to a target device according to the priority information. The application is beneficial to the maintenance personnel to make quick maintenance arrangement for the power device with priority maintenance requirements.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of early warning monitoring, in particular to an early warning information sending method and system and a storage medium. BACKGROUND

[0002] In daily life, people's demand for electricity is increasing. In the field of power transmission, the safety of power equipment operation directly affects people's normal use of electricity. With the increasing intensification of global climate change, the frequency and intensity of extreme weather such as typhoons and heavy rains are increasing. Under the action of extreme weather such as strong typhoons and heavy rains, power equipment is prone to cause equipment leakage accidents after being submerged, greatly increasing the risk of electric shock for people, and also causing huge economic losses. Therefore, the importance of early warning monitoring of power equipment for extreme weather is fully reflected.

[0003] At present, when the power distribution facility is submerged or has a leakage phenomenon, the early warning function of the power distribution facility is triggered to send early warning information to the power distribution operation and maintenance platform. The early warning information serves as the basis for the development of a maintenance personnel deployment plan. After the maintenance personnel checks the early warning information of multiple power distribution facilities one by one, the maintenance personnel deployment plan is finally developed manually based on the checking situation of the early warning information of the multiple power distribution facilities.

[0004] However, in the prior art, after the early warning information is generated, the maintenance personnel deployment plan needs to be developed manually, so that the maintenance personnel can be instructed to perform maintenance work. In actual application, the power distribution facility with a more serious early warning event needs to be repaired first. However, since the maintenance personnel deployment plan is developed manually, the development efficiency is low, so that the power distribution facility that needs to be repaired in time cannot be repaired. SUMMARY

[0005] Therefore, it is necessary to provide an early warning information sending method, system and storage medium to solve the technical problem that the power distribution facility that needs to be repaired in time cannot be arranged for maintenance.

[0006] The present application provides an early warning information sending method, which comprises:

[0007] According to the monitoring information of the power equipment, a characteristic equipment is determined; wherein the monitoring information comprises at least one of the submersion information and the leakage information of the power equipment, and the characteristic equipment is an equipment in the power equipment that has an early warning event;

[0008] According to the monitoring information of the characteristic equipment, priority information of the characteristic equipment is configured;

[0009] According to the priority information, early warning information is sent to a target equipment.

[0010] In one of the embodiments, according to the early warning information sending method, the step of configuring the priority information of the feature device according to the monitoring information of the feature device comprises:

[0011] According to the monitoring information of the feature device, a risk calculation is performed to obtain a risk coefficient; wherein the risk coefficient is used to represent the severity of the early warning event of the feature device;

[0012] According to the risk coefficient, the priority information of the feature device is configured.

[0013] In one of the embodiments, according to the early warning information sending method, the step of determining the device in the power equipment that has an early warning event according to the monitoring information of the power equipment comprises:

[0014] According to the comparison result of the monitoring information of the power equipment and the preset early warning threshold, the device in the power equipment that has an early warning event is determined as the feature device.

[0015] In one of the embodiments, according to the early warning information sending method, the step of configuring the priority information of the feature device according to the monitoring information of the feature device comprises:

[0016] According to the monitoring information of each of the feature devices, the early warning priority of each of the feature devices is determined to obtain the priority information of each of the feature devices; wherein the priority information of each of the feature devices is used to represent the high-low situation of the early warning priority ranking;

[0017] The step of sending early warning information to the target device according to the priority information comprises:

[0018] When the priority information of multiple feature devices is different, the early warning information of the feature device with the highest early warning priority ranking is sent to the target device.

[0019] In one of the embodiments, according to the early warning information sending method, the step of sending early warning information to the target device according to the priority information further comprises:

[0020] When the priority information of multiple feature devices is the same, according to the distance information of each of the feature devices and the target device, the early warning information of the feature device with the shortest distance to the target device is sent to the target device.

[0021] In one of the embodiments, according to the early warning information sending method, before the step of sending early warning information to the target device according to the priority information, it comprises:

[0022] The target device is determined according to the position information of the feature device and the position information of the to-be-received device.

[0023] In one of the embodiments, according to the above-mentioned method for sending early warning information, in the step of determining the target device according to the position information of the feature device and the position information of the to-be-received device, the step includes:

[0024] The distance information between each to-be-received device and the feature device is obtained by calculating according to the position information of each to-be-received device and the position information of the feature device.

[0025] The to-be-received device with the shortest distance to the feature device is determined as the target device according to the distance information.

[0026] A system for sending early warning information, the system includes a calculation and analysis module and an information sending module, wherein:

[0027] The calculation and analysis module is configured to determine a feature device according to monitoring information of power equipment, wherein the monitoring information includes at least one of water immersion information and electric leakage information of the power equipment, and the feature device is a device in the power equipment that has an early warning event; the priority information of the feature device is configured according to the monitoring information of the feature device; and the information sending module is controlled to send early warning information to a target device according to the priority information.

[0028] The information sending module is configured to send early warning information under the control of the calculation and analysis module.

[0029] A system for sending early warning information, the system includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above-mentioned method for sending early warning information when executing the computer program.

[0030] A computer readable storage medium, which stores a computer program, the computer program is executed by a processor to implement the steps of the above-mentioned method for sending early warning information.

[0031] In the early warning information sending method, system and storage medium, first, the characteristic device is determined according to the monitoring information of the power equipment, then, the priority information of the characteristic device is configured according to the monitoring information of the characteristic device, and finally, the early warning information is sent to the target device according to the priority information; in the method, the early warning information is directly sent to the target device according to the priority information of the characteristic device, and the target device is a communication device carried by the maintenance personnel, that is, the early warning information of the characteristic device is directly sent to the maintenance personnel, so that the maintenance personnel can directly arrange maintenance according to the received early warning information, without waiting for the establishment of the maintenance personnel's deployment plan, which is beneficial to the maintenance personnel to make rapid maintenance arrangement for the power equipment with priority maintenance requirements. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings. Among them:

[0033] Figure 1 It is a flowchart of the early warning information sending method in an embodiment;

[0034] Figure 2 It is a flowchart of the characteristic device determination step in an embodiment;

[0035] Figure 3 It is a flowchart of the priority information configuration step in an embodiment;

[0036] Figure 4 It is a flowchart of the risk coefficient calculation step in an embodiment;

[0037] Figure 5 It is a flowchart of the early warning information sending step according to the early warning priority ranking in an embodiment;

[0038] Figure 6 It is a flowchart of the early warning information sending step according to the position information in an embodiment;

[0039] Figure 7 It is a flowchart of the early warning information sending step according to the position information in another embodiment;

[0040] Figure 8 It is a module structure diagram of the early warning information sending system in an embodiment. DETAILED DESCRIPTION

[0041] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not intended to limit the present application.

[0042] As shown in Figure 1 In one embodiment, the present application provides a pre-warning information sending method, which is applied to a pre-warning information sending system 800 as shown in Figure 8 The pre-warning information sending system 800 can send pre-warning information generated when a pre-warning event occurs in a power equipment to a designated equipment, which can be a background server capable of sending relevant information or instructions to a communication equipment carried by a maintenance personnel to achieve the purpose of informing the maintenance personnel to arrange maintenance; or the designated equipment can also be a communication equipment carried by a maintenance personnel, which is used to receive relevant information or instructions to achieve the purpose of knowing the maintenance arrangement of the power equipment.

[0043] Specifically, when a pre-warning event occurs in the power equipment, the pre-warning function of the power equipment is triggered to generate pre-warning information. Here, the pre-warning event can be specifically set according to actual use.

[0044] It should be noted that with the continuous intensification of global climate change, the frequency and intensity of extreme weather such as typhoon and heavy rain are growing. Under the action of strong typhoon, heavy rain and other severe weather, the power equipment is easily immersed in water, which can easily cause the risk of power equipment leakage, and when people approach the power equipment, electric shock accidents are likely to occur. Here, the immersion and leakage of water are taken as pre-warning events of the power equipment, and the immersion information and leakage information of the power equipment are monitored to determine whether a pre-warning event occurs in the power equipment.

[0045] The above method comprises the following steps:

[0046] Step 102, determining a characteristic equipment according to the monitoring information of the power equipment.

[0047] In step 102, the monitoring information includes at least one of the immersion information and the leakage information of the power equipment, and the characteristic equipment is the equipment in the power equipment that has a pre-warning event.

[0048] Specifically, the water immersion information is a water level value of a surrounding environment in which the power equipment is located. Here, the water level value can be obtained by a water level detection device as the water immersion information of the power equipment. When the water immersion information exceeds a preset water immersion safety threshold, it is determined that the power equipment has a water immersion phenomenon. At this time, the power equipment is experiencing a warning event associated with the water immersion phenomenon. The leakage information is a leakage current value of the power equipment itself or a surrounding environment in which the power equipment is located. The leakage current value can be obtained by a current detection device as the leakage information of the power equipment. When the leakage information exceeds a preset safety current threshold, it is determined that the power equipment has a leakage phenomenon. At this time, the power equipment is experiencing a warning event associated with the leakage phenomenon.

[0049] In step 104, the priority information of the feature equipment is configured according to the monitoring information of the feature equipment.

[0050] In step 104, the priority information of the feature equipment is configured according to the monitoring information of the feature equipment.

[0051] In step 104, the priority information of the feature equipment is configured according to the monitoring information of the feature equipment.

[0052] In step 106, the warning information is sent to the target equipment according to the priority information.

[0053] In step 106, the warning information includes at least one of an alarm signal indicating that the feature equipment is experiencing a warning event and the monitoring information of the feature equipment.

[0054] In this regard, it is worth mentioning that the target equipment refers to the sending object of the warning information, which can be a pre-set device or one of a plurality of devices selected in actual use. For example, in some embodiments, at least one of a plurality of communication devices carried by maintenance personnel can be selected as the target equipment.

[0055] In the above warning information sending method, the warning information is directly sent to the target equipment according to the priority information of the feature equipment, and the target equipment is a communication device carried by the maintenance personnel. Thus, the warning information of the feature equipment is directly sent to the maintenance personnel, which is beneficial to the maintenance personnel to arrange timely maintenance according to the received warning information without waiting for the formulation of a maintenance plan. This is beneficial to the maintenance personnel to make rapid maintenance arrangement for the power equipment with priority maintenance demand, effectively improves the maintenance response speed of the maintenance personnel, and thus quickly eliminates the failure risk of the power equipment.

[0055] In some embodiments, the step of determining the device in the power equipment experiencing a warning event according to the monitoring information of the power equipment includes:

[0056] Based on the comparison results between the monitoring information of the power equipment and the preset warning threshold, the equipment that has triggered a warning event is identified as a characteristic equipment; wherein, the warning threshold includes at least one of the water level warning threshold and the leakage warning threshold.

[0057] like Figure 2 As shown, specifically, the above steps include:

[0058] Step 202: Based on the comparison results between the water immersion information of the power equipment and the preset water level warning threshold, determine whether water immersion has occurred.

[0059] Prior to step 202, the water level in the surrounding environment of the power equipment can be detected as water immersion information for the power equipment. The detection of water immersion information can be performed in real time or at different times. For example, in some embodiments, considering that the rise in water level is not significant in a short period of time, water immersion information can be detected every preset time interval. Here, the preset time interval is 30 seconds. In step 202, the water level warning threshold is the highest water level at which the power equipment is not submerged. It can be set adaptively according to the installation of the power equipment. When the water immersion information of the power equipment is greater than the water level warning threshold, it is determined that the power equipment has been submerged.

[0060] Step 204: Based on the comparison results between the leakage information of the power equipment and the preset leakage warning threshold, determine whether a leakage phenomenon has occurred.

[0061] Prior to step 204, the leakage current value of the power equipment itself or its surrounding environment can be detected as leakage information of the power equipment. In step 204, the leakage warning threshold is the highest current value that will not cause an electric shock accident when touched by a human body. For example, in some embodiments, the leakage warning threshold is 10mA. When the leakage information is greater than the safe current threshold, it is determined that the power equipment has a leakage phenomenon.

[0062] Step 206: If the electrical equipment is flooded or leaks electricity, then the electrical equipment is identified as a characteristic device.

[0063] In the above steps, steps 202 and 204 can be set simultaneously or only one of them can be set. In practical applications, steps 202 and 204 can be set adaptively according to the monitoring information of the power equipment.

[0064] like Figure 3 As shown, in some embodiments, the step of configuring the priority information of the feature device based on the monitoring information of the feature device includes:

[0065] At step 302, a risk coefficient is obtained according to the monitoring information of the feature device.

[0066] In step 302, the risk coefficient is used to represent the severity of the warning event of the feature device, and the numerical value of the risk coefficient is positively correlated with the severity of the warning event of the feature device. The greater the risk coefficient, the more serious the warning event of the feature device, and the greater the demand for priority maintenance of the feature device. Conversely, the smaller the demand for priority maintenance of the feature device.

[0067] Specifically, for example, in some embodiments, a risk assessment score calculation rule is preset, and the monitoring information of the feature device is used as an input parameter of the risk assessment score calculation rule for calculation. The calculated risk assessment score value is used as the risk coefficient, and the risk assessment score is positively correlated with the probability of the risk of the feature device. Of course, in other embodiments, a preset risk assessment model is used to set a probability calculation rule, and the monitoring information of the feature device is used as an input parameter of the probability calculation rule. The calculated probability value is used as the risk coefficient, that is, the risk coefficient is directly the probability value of the risk of the feature device.

[0068] At step 304, the priority information of the feature device is configured according to the risk coefficient.

[0069] In step 304, based on the warning priority configuration rule, the specific configuration method of the priority information of the feature device is not limited, including but not limited to the following two methods:

[0070] First, the priority information of the plurality of feature devices is configured in order from high to low according to the risk coefficient. At this time, the warning priorities of the plurality of feature devices are sorted from high to low.

[0071] For example, in some embodiments, as shown in Table 1 below, if there are three feature devices in the power equipment, and the risk coefficients of the three feature devices are 90, 60 and 30 respectively, the warning priority of the feature device with the risk coefficient of 90 is the highest, the warning priority of the feature device with the risk coefficient of 60 is the second, and the warning priority of the feature device with the risk coefficient of 30 is the lowest.

[0072] Table 1

[0073] Ranking number Equipment number Risk coefficient Early warning priority 1 Feature equipment one 90 High 2 Feature equipment two 60 Medium 3 Feature equipment three 30 Low

[0074] Second, a plurality of coefficient range thresholds corresponding to different warning priority levels are set. When the risk coefficient of any feature device meets any coefficient range threshold, the priority information of the feature device is configured as the warning priority corresponding to the coefficient range threshold met by the feature device.

[0075] For example, in some embodiments, the coefficient range F1 of high warning priority is set as F1≥90, the coefficient range F2 of medium warning priority is set as 60≤F2<90, and the coefficient range F3 of low warning priority is set as 30≤F3<60, as shown in Table 2 below. If there are three characteristic devices in the power equipment, and the risk coefficients of the three characteristic devices are 90, 60 and 30 respectively, the characteristic device with a risk coefficient of 90 satisfies the coefficient range F1, and its warning priority is high; the characteristic device with a risk coefficient of 60 satisfies the coefficient range F2, and its warning priority is medium; and the characteristic device with a risk coefficient of 30 satisfies the coefficient range F3, and its warning priority is low.

[0076] Table 2

[0077] Ranking number Equipment number Risk coefficient Coefficient range fallen into Early warning priority 1 Feature equipment one 90 F1 High 2 Feature equipment two 60 F2 Medium 3 Feature equipment three 30 F3 Low

[0078] As Figure 4 shown, the step of calculating the risk according to the monitoring information of the characteristic device to obtain the risk coefficient includes:

[0079] In step 402, the waterlogging warning information is analyzed to determine the waterlogging warning information.

[0080] In step 402, it is worth mentioning that the waterlogging warning information includes but is not limited to waterlogging yellow warning information, waterlogging orange warning information and waterlogging red warning information from low to high danger level, and the danger level of the waterlogging warning information is positively correlated with the probability of risk occurring in the characteristic device; the specific steps of obtaining the waterlogging warning information are as follows:

[0081] The water level detection device arranged in the characteristic device is used to monitor the water level height value of the characteristic device in real time, and then the waterlogging warning information is obtained according to the comparison result of the water level height value of the characteristic device and the preset water level threshold value; for example, in some embodiments, the preset water level threshold value includes a first water level warning value, a second water level warning value and a third water level warning value, and the first water level warning value<second water level warning value<third water level warning value, and the waterlogging warning information includes waterlogging yellow warning information, waterlogging orange warning information and waterlogging red warning information from low to high danger level, wherein when the first water level warning value≤water level height value of the characteristic device<second water level warning value, the waterlogging yellow warning information is obtained; when the second water level warning value≤water level height value of the characteristic device<third water level warning value, the waterlogging orange warning information is obtained; and when the third water level warning value≤water level height value of the characteristic device, the waterlogging red warning information is obtained.

[0082] In step 404, the coefficient evaluation calculation is performed according to the waterlogging warning information to obtain a first coefficient value.

[0083] The waterlogging early warning information includes a plurality of sub waterlogging early warning information. Specifically, before step 404, a plurality of preset coefficient values are preset, and the plurality of preset coefficient values are set in one-to-one correspondence with the plurality of sub waterlogging early warning information. In step 404, a preset coefficient value corresponding to the current sub waterlogging early warning information is obtained as the first coefficient value according to any sub waterlogging early warning information. For example, in some embodiments, the waterlogging early warning information includes three sub waterlogging early warning information (including waterlogging yellow early warning information, waterlogging orange early warning information, and waterlogging red early warning information), and the preset coefficient values corresponding to the waterlogging yellow early warning information, the waterlogging orange early warning information, and the waterlogging red early warning information are 30, 60, and 90 respectively. In step 302, when the waterlogging yellow early warning information is obtained, the first coefficient value is 30; when the waterlogging orange early warning information is obtained, the first coefficient value is 60; and when the waterlogging red early warning information is obtained, the first coefficient value is 90.

[0084] In step 406, the leakage information is analyzed to determine the electric shock early warning information.

[0085] In addition, the electric shock early warning information includes electric shock danger information and no electric shock information. When the electric shock early warning information is the electric shock danger information, the characteristic device is necessarily at risk. When the electric shock early warning information is the no electric shock danger information, the occurrence probability of the risk of the characteristic device can be determined according to other monitoring information related to the risk of the characteristic device (for example, the waterlogging early warning information). The acquisition step of the electric shock early warning information is as follows:

[0086] The current detection device arranged in the characteristic device monitors the leakage current value of the characteristic device in real time. Then, the electric shock early warning information is obtained according to the comparison result of the leakage current value of the characteristic device and the preset safety current threshold. For example, in some embodiments, the safety current threshold is set to 10 mA, and the electric shock early warning information includes electric shock danger information and no electric shock danger information. When the leakage current value of the characteristic device is less than 10 mA, the no electric shock danger information is obtained. When the leakage current value of the characteristic device is greater than or equal to 10 mA, the electric shock danger information is obtained.

[0087] In step 408, the second coefficient value is obtained by coefficient evaluation calculation according to the electric shock early warning information.

[0088] The electric shock early warning information includes electric shock danger information and no electric shock danger information. Before step 304, two preset coefficient values are preset, one of which is set in correspondence with the electric shock danger information, and the other of which is set in correspondence with the no electric shock danger information. In step 304, a preset coefficient value corresponding to the electric shock danger information or the no electric shock danger information is obtained as the second coefficient value according to the electric shock danger information or the no electric shock danger information. For example, in some embodiments,

[0089] The preset coefficient values ​​corresponding to the presence and absence of electric shock hazard information are 100 and 0, respectively. In step 304, when electric shock hazard information is obtained, the second coefficient value is 100, and when no electric shock hazard information is obtained, the second coefficient value is 0.

[0090] Step 410: Calculate the risk coefficient based on the first coefficient value and the second coefficient value.

[0091] It should be noted that in other embodiments, the step of calculating and obtaining the risk coefficient of the feature device based on the warning information may only include steps 402-404, or only steps 406-408.

[0092] Step 410 is adaptively adjusted based on the settings of steps 402-404 and steps 406-408. For example, in some embodiments, only steps 402-404 are set, so the first coefficient value is directly used as the risk coefficient in step 410; while in other embodiments, only steps 406-408 are set, so the second coefficient value is directly used as the risk coefficient in step 410.

[0093] like Figure 5 As shown, in some embodiments, the step of configuring the priority information of the feature device based on the monitoring information of the feature device includes:

[0094] Step 502: Based on the monitoring information of each feature device, determine the early warning priority of each feature device to obtain the priority information of each feature device.

[0095] In step 502, the priority information of each feature device is used to characterize the order of warning priorities; specifically, in some embodiments, the order of warning priorities of multiple feature devices can be achieved through the above steps 302-304.

[0096] The steps for sending warning information to the target device based on priority information include:

[0097] Step 504: When the priority information of multiple feature devices is different, the warning information of the feature device with the highest warning priority is sent to the target device.

[0098] In step 504, for example, in some embodiments, if there are three feature devices with different priority information in the power equipment, specifically, if the warning priorities of the three feature devices are high, medium and low respectively, then the warning information of the feature device with the high warning priority is sent to the target device; if the warning priorities of the three feature devices are medium, low and low respectively, then the warning information of the feature device with the medium warning priority is sent to the target device. The principle of other implementation methods is the same, and will not be elaborated here.

[0099] By setting steps 502-504 above, maintenance personnel can prioritize the maintenance of characteristic equipment with high warning priority, effectively preventing the warning events of characteristic equipment with high warning priority from further deteriorating and causing more serious impacts, and further improving the maintenance response speed of maintenance personnel.

[0100] Furthermore, in some embodiments, the step of sending warning information to the target device based on priority information further includes:

[0101] When multiple feature devices have the same priority information, the warning information of the feature device with the shortest distance to the target device is sent to the target device based on the distance information between each feature device and the target device.

[0102] Prior to the above steps, the distance information between each feature device and the target device is calculated based on the location information of each feature device and the location information of the target device. In the above steps, for example, in some embodiments, if there are three feature devices with the same priority information in the power equipment, specifically, if the warning priority of the three feature devices is high, then the warning information of the feature device with the shortest distance from the target device is sent to the target device.

[0103] In some embodiments, if the target device needs to be determined before the warning information is sent, then the step of sending the warning information to the target device according to the priority information includes:

[0104] The target device is determined based on the location information of the receiving device and the location information of the characteristic device.

[0105] In the above steps, the receiving device is a device waiting to receive warning information; the method of determining the target device based on the location information of the receiving device and the location information of the characteristic device is not limited, and includes, but is not limited to, the following two methods:

[0106] The first type, such as Figure 6 As shown, in some embodiments, the step of determining the target device based on the location information of the feature device and the location information of the receiving device includes:

[0107] Step 602: Calculate the distance information between each receiving device and the feature device based on the location information of each receiving device and the feature device.

[0108] In step 602, the location information of the feature device is the coordinate value (X0, Y0), while the location information of each receiving device is the coordinate value (X0, Y0). i Y i ), where i is the serial number of the receiving device, i≥1, and the coordinate distance is calculated using the following formula: based on the coordinate values ​​(X, Y, X) of each receiving device. i Y i Given the coordinates (X0, Y0) of the characteristic device, calculate the distance information D between each receiving device and the characteristic device. i The specific calculation formula is as follows:

[0109]

[0110] Step 604: Based on the distance information, determine the receiving device that is closest to the feature device as the target device.

[0111] The second type, such as Figure 7 As shown, in some embodiments, the step of determining the target device based on the location information of the feature device and the location information of the receiving device includes:

[0112] Step 702: Determine the jurisdiction area of ​​the feature device based on the location information of the feature device.

[0113] In step 702, different equipment jurisdiction areas need to be predefined, and multiple power devices can be installed within the equipment jurisdiction area.

[0114] Step 704: Based on the location information of multiple devices to be received, determine the devices to be received that are located within the jurisdiction of the device as the target devices.

[0115] It should be understood that, although Figure 1-7 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1-7 At least some of the steps in the process may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but may be executed at different times. The execution order of these steps or stages is not necessarily sequential, but may be executed in turn or alternately with other steps or at least some of the steps or stages in other steps.

[0116] Please seeFigure 8 As shown in one embodiment, the present application provides a warning information sending system 800 to which the above warning information sending method can be applied, the warning information sending system 800 comprising a calculation and analysis module 810 and an information sending module 820 connected with the calculation and analysis module 810. Wherein:

[0117] The calculation and analysis module 810 is configured to determine a characteristic device according to the monitoring information of the power equipment 910, wherein the monitoring information comprises at least one of the water immersion information and the electric leakage information of the power equipment 910, and the characteristic device is the device of the power equipment 910 in which the warning event occurs; configure the priority information of the characteristic device according to the monitoring information of the characteristic device; and control the information sending module 820 to send the warning information to the target device 920 according to the priority information;

[0118] The information sending module 820 is configured to send the warning information under the control of the calculation and analysis module 810.

[0119] In one embodiment, the calculation and analysis module 810 is further configured to perform risk calculation according to the monitoring information of the characteristic device to obtain a risk coefficient, wherein the risk coefficient is used to represent the severity of the warning event of the characteristic device; and configure the priority information of the characteristic device according to the risk coefficient.

[0120] In one embodiment, the calculation and analysis module is further configured to determine the device in which the warning event occurs in the power equipment 910 as the characteristic device according to the comparison result of the monitoring information of the power equipment 910 and the preset warning threshold.

[0121] In one embodiment, the calculation and analysis module 810 is further configured to determine the warning priority of each characteristic device according to the monitoring information of each characteristic device to obtain the priority information of each characteristic device, wherein the priority information of each characteristic device is used to represent the high and low situation of the warning priority ranking; and when the priority information of multiple characteristic devices is different, the warning information of the characteristic device with the highest warning priority ranking is sent to the target device 920.

[0122] In one embodiment, the calculation and analysis module 810 is further configured to, when the priority information of multiple characteristic devices is the same, send the warning information of the characteristic device with the shortest distance to the target device 920 to the target device 920 according to the distance information of each characteristic device and the target device 920.

[0123] In one embodiment, the calculation and analysis module 810 is further configured to determine the target device 920 according to the position information of the to-be-received device and the position information of the characteristic device, wherein the to-be-received device is the device waiting to receive the warning information.

[0124] In one of the embodiments, the computing analysis module 810 is further configured to calculate, according to the location information of each to-be-received device and the location information of the feature device, distance information of each to-be-received device and the feature device; and determine, according to the distance information, a to-be-received device with the shortest distance to the feature device as the target device 920.

[0125] Those skilled in the art can understand that, Figure 8 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the early warning information sending system to which the scheme of the present application is applied. The specific early warning information sending system can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0126] An early warning information sending system includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the early warning information sending method described above when executing the computer program.

[0127] A computer readable storage medium stores a computer program, and the computer program implements the steps of the early warning information sending method described above when executed by a processor.

[0128] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM can be in various forms such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0129] Each technical feature of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0130] The above-described embodiments are merely illustrative of several embodiments of the present application, which are described in more detail and in a specific and detailed manner, but should not be construed as limiting the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A method for sending early warning information, characterized in that, The method includes: Based on the monitoring information of the power equipment, characteristic devices are identified; wherein, the monitoring information includes water immersion information and leakage information of the power equipment, and the characteristic devices are the devices in the power equipment that have triggered early warning events; Configure the priority information of the feature device based on the monitoring information of the feature device; Send warning information to the target device according to the priority information; The step of configuring the priority information of the feature device based on the monitoring information of the feature device includes: The system analyzes flooding information to determine flood prevention warnings; it then performs coefficient evaluation calculations based on the flood prevention warnings to obtain a first coefficient value; it analyzes leakage information to determine electric shock prevention warnings; and performs coefficient evaluation calculations based on the electric shock prevention warnings to obtain a second coefficient value. A risk coefficient is then calculated based on the first and second coefficient values. The risk coefficient characterizes the severity of the warning event occurring on the featured device. Priority information for the featured device is then configured based on the risk coefficient. The step of configuring the priority information of the feature device based on the monitoring information of the feature device includes: Based on the monitoring information of each of the aforementioned feature devices, the early warning priority of each of the aforementioned feature devices is determined to obtain the priority information of each of the aforementioned feature devices; wherein, the priority information of each of the aforementioned feature devices is used to characterize the order of early warning priorities. The step of sending a warning message to the target device based on the priority information includes: When the priority information of multiple feature devices is different, the warning information of the feature device with the highest warning priority will be sent to the target device. Before the step of sending the warning information to the target device according to the priority information, the following steps are included: Based on the location information of each receiving device and the location information of the feature device, the distance information between each receiving device and the feature device is calculated; based on the distance information, the receiving device with the shortest distance to the feature device is determined as the target device; wherein, the receiving device is a device waiting to receive warning information; Analyzing flood information to determine flood prevention and early warning information includes: The water level of the feature device is monitored in real time by a water level detection device installed within the feature device. Based on the comparison between the water level of the feature device and a preset water level threshold, flood prevention early warning information is obtained. The preset water level threshold includes a first water level warning value, a second water level warning value, and a third water level warning value, where the first water level warning value < the second water level warning value < the third water level warning value. The flood prevention early warning information includes flood prevention yellow warning information, flood prevention orange warning information, and flood prevention red warning information, ranging from low to high hazard levels. Specifically, when the first water level warning value ≤ the water level of the feature device < the second water level warning value, a flood prevention yellow warning information is obtained; when the second water level warning value ≤ the water level of the feature device < the third water level warning value, a flood prevention orange warning information is obtained; and when the third water level warning value ≤ the water level of the feature device, a flood prevention red warning information is obtained.

2. The method for sending early warning information according to claim 1, characterized in that, The early warning information includes at least one of a warning signal indicating that a warning event is occurring on the feature device and monitoring information of the feature device.

3. The method for sending early warning information according to claim 1, characterized in that, The steps for determining which power equipment has experienced a warning event based on monitoring information from the power equipment include: Based on the comparison results between the monitoring information of the power equipment and the preset early warning threshold, the equipment in the power equipment that has triggered an early warning event is identified as the characteristic equipment.

4. The method for sending early warning information according to claim 3, characterized in that, The warning threshold includes at least one of a water level warning threshold and a leakage current warning threshold.

5. The method for sending early warning information according to claim 1, characterized in that, The step of sending a warning message to the target device based on the priority information further includes: When multiple feature devices have the same priority information, the warning information of the feature device with the shortest distance to the target device is sent to the target device according to the distance information between each feature device and the target device.

6. The method for sending early warning information according to claim 4, characterized in that, The leakage current warning threshold is 10mA.

7. The method for sending early warning information according to claim 1, characterized in that, The first coefficient value corresponding to the yellow flood warning information is 30, the first coefficient value corresponding to the orange flood warning information is 60, and the first coefficient value corresponding to the red flood warning information is 90.

8. A warning information transmission system, characterized in that, The system includes a calculation and analysis module and an information transmission module, wherein: The calculation and analysis module is used to determine characteristic devices based on the monitoring information of the power equipment, wherein the monitoring information includes water immersion information and leakage information of the power equipment, and the characteristic devices are devices in the power equipment that have experienced early warning events; configure priority information of the characteristic devices based on the monitoring information of the characteristic devices; and control the information sending module to send early warning information to the target devices based on the priority information. The information sending module is used to send early warning information under the control of the calculation and analysis module; The calculation and analysis module is further used to analyze water immersion information to determine flood prevention early warning information; perform coefficient evaluation calculation based on the flood prevention early warning information to obtain a first coefficient value; analyze leakage information to determine electric shock prevention early warning information; perform coefficient evaluation calculation based on the electric shock prevention early warning information to obtain a second coefficient value; calculate a risk coefficient based on the first and second coefficient values; wherein the risk coefficient is used to characterize the severity of the early warning event occurring on the characteristic device; and configure the priority information of the characteristic device based on the risk coefficient. The calculation and analysis module is also used to determine the early warning priority of each feature device based on the monitoring information of each feature device to obtain the priority information of each feature device. The priority information of each feature device is used to represent the order of early warning priority. When the priority information of multiple feature devices is different, the early warning information of the feature device with the highest early warning priority is sent to the target device. The calculation and analysis module is further configured to determine the target device based on the location information of the receiving device and the location information of the feature device, wherein the receiving device is a device waiting to receive warning information; the calculation and analysis module is further configured to calculate and obtain the distance information between each receiving device and the feature device based on the location information of each receiving device and the location information of the feature device; based on the distance information, the receiving device with the shortest distance to the feature device is determined as the target device; The calculation and analysis module is further configured to monitor the water level height of the feature device in real time using a water level detection device installed within the feature device; and to obtain the flood prevention early warning information based on the comparison result between the water level height of the feature device and a preset water level threshold; the preset water level threshold includes a first water level warning value, a second water level warning value, and a third water level warning value, wherein the first water level warning value < the second water level warning value < the third water level warning value; the flood prevention early warning information includes flood prevention yellow warning information, flood prevention orange warning information, and flood prevention red warning information, ranging from low to high danger levels; wherein, when the first water level warning value ≤ the water level height of the feature device < the second water level warning value, a flood prevention yellow warning information is obtained; when the second water level warning value ≤ the water level height of the feature device < the third water level warning value, a flood prevention orange warning information is obtained; and when the third water level warning value ≤ the water level height of the feature device, a flood prevention red warning information is obtained.

9. A warning information transmission system, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the early warning information sending method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the warning information sending method according to any one of claims 1 to 7.

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