CN114241734A - Immersion early warning method and device, electronic equipment and storage medium - Google Patents

Immersion early warning method and device, electronic equipment and storage medium Download PDF

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CN114241734A
CN114241734A CN202111568917.8A CN202111568917A CN114241734A CN 114241734 A CN114241734 A CN 114241734A CN 202111568917 A CN202111568917 A CN 202111568917A CN 114241734 A CN114241734 A CN 114241734A
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early warning
target
information
time
water immersion
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CN114241734B (en
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李春发
卢建纲
郭式贵
李训忠
潘建林
向怡骁
何坚
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Guangdong Power Grid Co Ltd
Shaoguan Power Supply Bureau Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Shaoguan Power Supply Bureau Guangdong Power Grid Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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    • G08B21/24Reminder alarms, e.g. anti-loss alarms
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    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
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    • G16Y40/10Detection; Monitoring
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/50Safety; Security of things, users, data or systems

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Abstract

The invention discloses a water immersion early warning method, a water immersion early warning device, electronic equipment and a storage medium, wherein the method comprises the following steps: when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity; determining target pre-estimated time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade; and feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment. The problem of among the prior art can only provide current early warning level information that soaks to the user, lead to the user probably can't in time maintain the distribution facility is solved, realized confirming the time information that each early warning level corresponds in advance to the user is according to the effect of the early warning information that soaks in time collection maintenance measure.

Description

Immersion early warning method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the field of early warning of waterlogging prevention of water level, in particular to a method and a device for early warning of flooding, electronic equipment and a storage medium.
Background
At present, distribution facilities are installed in various regions throughout the country, and the installation positions of the distribution facilities are different depending on factors such as the terrain of the different regions.
When the circumstances such as rainfall appear, the circumstances of ponding may appear near the distribution facility, if the water level of ponding exceeds certain height, can cause the damage to the distribution facility, bring the safety problem for electric power system, at present, early warning information soaks usually through water level sensor measuring water depth condition, and report current water level condition to the staff according to preset early warning information, but carry out the condition that misjudgement may appear in the mode of early warning through water level sensor, for example, the early warning of soaking that leads to by the ponding wave, and this method can only send the early warning to the staff in order to reach when early warning level, the condition that the staff came too late to handle can appear, lead to the distribution facility to appear the safety problem.
In order to better prevent safety problems of each distribution facility caused by water immersion, the water immersion early warning method needs to be improved.
Disclosure of Invention
The invention provides a water immersion early warning method and device, electronic equipment and a storage medium, and aims to achieve the effect of predicting the trigger time corresponding to each early warning moment in advance.
In a first aspect, an embodiment of the present invention provides a method for early warning of flooding, which is characterized by including:
when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity;
determining target pre-estimated time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade;
and feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment.
In a second aspect, an embodiment of the present invention further provides a submergence early warning device, which is characterized by including:
the attribute information acquisition module is used for acquiring event attribute information of a target event when the trigger target event is detected; the event attribute information comprises precipitation information and initial water immersion capacity;
the time information determining module is used for determining target pre-estimated time information corresponding to each early warning grade according to the event attribute information and the predetermined target water immersion capacity corresponding to each early warning grade;
and the user reminding module is used for feeding back the target estimated time information to the target terminal equipment so as to remind the user corresponding to the target terminal equipment.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the pre-warning method for flooding according to any one of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the pre-warning method for flooding according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment, when a triggering target event is detected, event attribute information of the target event is acquired, the server determines target water immersion capacity information corresponding to each early warning level according to the triggering time of the target event, current precipitation information and initial water immersion capacity information of each early warning level, and determines target estimated time of each early warning level. And determining target pre-estimation time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade, and determining time information corresponding to each pre-warning grade according to the target pre-estimation time information. And feeding back the target estimated time information to target terminal equipment to remind a user corresponding to the target terminal equipment, so that the user can timely maintain the power distribution facility according to the target estimated time. The problem of among the prior art can only provide current early warning level information that soaks to the user, lead to the user probably can't in time maintain the distribution facility is solved, realized confirming the time information that each early warning level corresponds in advance to the user is according to the effect of the early warning information that soaks in time collection maintenance measure.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a flowchart of a pre-warning method for water immersion according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a pre-warning method for water immersion according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a pre-warning method for water immersion according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an immersion early warning device according to a fifth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before the technical solution is elaborated, an application scenario of the technical solution is briefly introduced to more clearly understand the technical solution. At present, all install the distribution facility nationwide, when meetting the condition such as rainfall, the ponding condition can appear near the distribution facility, in order to guarantee the normal operating of distribution facility, need monitor the ponding condition near the distribution facility, when ponding reaches certain degree of depth, need send the early warning that soaks to relevant personnel to prevent that the distribution facility from being soaked by ponding, lead to the distribution facility to damage.
Example one
Fig. 1 is a schematic flow chart of an early warning method for flooding according to an embodiment of the present invention, which is applicable to predicting the trigger time of the early warning level of the early warning for flooding of each power distribution facility, and the method may be executed by an early warning device for flooding, where the early warning device may be implemented in the form of software and/or hardware, and the hardware may be an electronic device, such as a mobile terminal or a PC.
As shown in fig. 1, the method includes:
s110, when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity.
In practical application, including three level sensor in the anti-waterlogging early warning device of installation among the distribution facility, three level sensor sets up respectively at different water level height, sets up different early warning levels that soaks according to different water level height. The water level sensor can be used for detecting ponding depth information near the distribution facility, and when detecting that ponding reaches certain degree of depth, can trigger the early warning of soaking. According to the influence degree of the water accumulation depth information and different water accumulation depths on the safety of the power distribution facility, the water immersion early warning can be divided into three early warning levels, namely yellow early warning, orange early warning and red early warning. When the water level sensor detects that the depth of accumulated water reaches 5cm, yellow early warning can be triggered; when the water level sensor detects that the depth of accumulated water reaches 20cm, an orange early warning can be triggered; when the water level sensor detects that the depth of accumulated water reaches 40cm, red early warning can be triggered. Furthermore, the waterlogging prevention early warning device corresponding to the water level sensor can send the submerging early warning information to the server, and then the staff can take corresponding measures according to the submerging early warning information received by the server.
The target event can be understood as a water immersion early warning event triggered when accumulated water near the power distribution facility reaches a certain depth. The event attribute information can be understood as precipitation information corresponding to the time of triggering the pre-warning of flooding and initial flooding capacity. The precipitation amount can be based on the average precipitation amount of the current time period forecasted by the weather bureau. It can be understood that a drainage system, such as a drainage pipeline, an underground passage or a drainage channel, is usually further provided near the power distribution facility, when rainfall occurs, nearby accumulated water can be drained through the drainage system, and the initial water immersion capacity can be understood as the accumulated water amount corresponding to each preset early warning level.
Specifically, when the depth that water level sensor in the distribution facility detected current ponding reachd the early warning water level, can trigger the early warning of soaking to the early warning information of preventing waterlogging that corresponds by water level sensor sends for the server with the early warning information of soaking. When the server receives the submerging early warning information, the average precipitation of each time period monitored by the local weather bureau and the preset water accumulation corresponding to each early warning level can be obtained. If the water accumulation amount corresponding to the yellow early warning level can be 20 liters, the water accumulation amount corresponding to the orange early warning level is 60 liters, the water accumulation amount corresponding to the red early warning level is 100 liters, and the initial water immersion capacity corresponding to each early warning level can be determined according to the water accumulation amount corresponding to the installation position of each power distribution facility.
And S120, determining target estimated time information corresponding to each early warning grade according to the event attribute information and the predetermined target water immersion capacity corresponding to each early warning grade.
The target water immersion capacity can be understood as the actually contained precipitation amount of each power distribution facility under each early warning level, and comprises the accumulated water amount preset between the two early warning levels and the water amount discharged by a drainage system. The target estimated time information can be understood as estimated time information of triggering of each early warning level, for example, if 1 hour is needed from yellow early warning to orange early warning, the target estimated time information is 1 hour, and if the current time is 8 points, the target estimated time information is 9 points.
Illustratively, if the current warning level of the flooding warning is a yellow warning, when the yellow warning is triggered, the server records the moment of triggering the yellow warning and the average precipitation corresponding to the moment. When the early warning level is increased from the yellow early warning to the red early warning, assuming that the preset water accumulation amount between the yellow early warning and the red early warning is 20 liters and the water amount discharged by the drainage system is 10 liters, the target water immersion capacity between the yellow early warning and the red early warning is 30 liters. The amount of water drained by the drainage system can be determined according to the average precipitation amount in the current time period and the rainfall time of two early warning levels for triggering the flooding early warning.
Specifically, when the water level sensor detects that the accumulated water of the power distribution facility accessory exceeds the preset depth, the corresponding pre-warning level immersion pre-warning can be triggered, and then the pre-warning information is triggered to be sent to the server. The server records the time corresponding to triggering each early warning level. And then, target estimated time information corresponding to each early warning grade can be obtained according to the obtained average precipitation corresponding to the current time period and the initial water immersion capacity corresponding to each early warning grade.
It should be noted that, according to the event attribute information and the predetermined target water immersion capacity corresponding to each early warning level, the target estimated time of each early warning level can be determined, for example, if the current early warning level is a yellow early warning, the target estimated time of the yellow early warning reaching an orange early warning can be determined, and the target estimated time of the orange early warning reaching a red early warning level can be obtained.
S130, feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment.
The target terminal device may be a device used by a user, such as a mobile device or a computer device, and after approximate target estimation information is determined, the target terminal device sends flooding early warning information to remind each user to take corresponding maintenance measures for each power distribution facility. The immersion warning information can be sent by means of mails, short messages, public numbers, social software or telephone calls.
Specifically, after the target estimated time is determined, the server can feed the target estimated time back to each target terminal device to remind the user to perform corresponding maintenance on each power distribution facility. It should be noted that the warning information sent by the server may include not only the target estimated time, but also the current submerging warning level and the submerging warning level corresponding to the target estimated time. If the current flooding early warning level is yellow early warning, the time for triggering the yellow early warning is 8 am, the estimated time for reaching the orange early warning level is 1 hour, the estimated time for reaching the red early warning level is 2 hours, the server feeds back information to each target terminal device, wherein the current flooding level is yellow early warning, the estimated time for reaching the orange early warning level is 9 am, and the estimated time for reaching the red early warning level is 10 am.
According to the technical scheme of the embodiment, when a triggering target event is detected, event attribute information of the target event is acquired, the server determines target water immersion capacity information corresponding to each early warning level according to the triggering time of the target event, current precipitation information and initial water immersion capacity information of each early warning level, and determines target estimated time of each early warning level. And determining target pre-estimation time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade, and determining time information corresponding to each pre-warning grade according to the target pre-estimation time information. And feeding back the target estimated time information to target terminal equipment to remind a user corresponding to the target terminal equipment, so that the user can timely maintain the power distribution facility according to the target estimated time. The problem of among the prior art can only provide current early warning level information that soaks to the user, lead to the user probably can't in time maintain the distribution facility is solved, realized confirming the time information that each early warning level corresponds in advance to the user is according to the effect of the early warning information that soaks in time collection maintenance measure.
Example two
As an optional embodiment of the foregoing embodiment, fig. 2 is a schematic flow chart of a pre-warning method for flooding according to a second embodiment of the present invention, and optionally, the pre-warning method for flooding further includes determining a target water-flooding capacity corresponding to each pre-warning level.
As shown in fig. 2, the method includes:
s210, when the early warning information corresponding to each early warning level is received, determining corresponding early warning time.
The early warning time can be understood as the time for triggering each early warning grade, and the immersion early warning grade can be divided into three early warning grades, namely yellow early warning, orange early warning and red early warning.
Specifically, the water level sensor on the power distribution facility can monitor water level information at each moment, when the accumulated water exceeds the water immersion early warning level, the corresponding early warning level can be triggered, and the early warning information corresponding to the early warning level is sent to the server. After receiving the early warning information, the server records and triggers the early warning time corresponding to each early warning grade, so that the early warning time corresponding to each early warning grade is determined according to each early warning time and the acquired event attribute information of the target event.
S220, determining average precipitation information of each discrete moment in the preset time length, and determining at least three pieces of target average precipitation information according to the average precipitation information.
The server can obtain the average precipitation information of each time period of the local meteorological bureau, the average precipitation information corresponding to each time may have difference, and each discrete time can be understood as the time for triggering each early warning level. The target mean precipitation information can be understood as mean precipitation information corresponding to each discrete time.
Specifically, the average precipitation information issued by the weather bureau is the average precipitation information corresponding to a certain time period, the average precipitation corresponding to each time period is not completely the same, and the weather bureau can determine the average precipitation information at each time by monitoring the average precipitation information corresponding to each time period at each time. When the server acquires the average precipitation information from the weather bureau, if the server wants to acquire the average precipitation information corresponding to each discrete time, the server may acquire the average precipitation information of the weather bureau once per hour so as to ensure the accuracy of the average precipitation information at each time, and the average precipitation information corresponding to the closest time to each discrete time is taken as the target average precipitation information and is recorded as p1, p2 and p 3.
Illustratively, if the time for triggering each warning level is tYellow colour、tOrangeAnd tRed wineAfter the server receives the early warning information, the server acquires the average precipitation information of each time period of the weather bureau, because the average precipitation information of each time period is constantly changed, the average precipitation information corresponding to the time closest to the time triggering each early warning grade can be used as the target average precipitation information of each discrete time, correspondingly, the target average precipitation information corresponding to each discrete time can be recorded as p1, p2 and p3 which are respectively corresponding to tYellow colour、tOrangeAnd tRed wineAnd correspondingly.
And S230, determining a second target water immersion capacity corresponding to a second early warning grade according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time of the first early warning grade and the early warning time of the second early warning grade.
The first target mean value precipitation information can be understood as mean precipitation information corresponding to the moment of triggering the yellow early warning level. The second target mean precipitation information may be understood as mean precipitation information corresponding to a time when the orange early warning level is triggered. The second target water immersion capacity may be understood as a target water immersion capacity from the yellow warning level to the orange warning level, including the accumulated water amount from the preset yellow warning level to the orange warning level and the water amount discharged from the drainage system. For example, if the accumulated water amount from the preset yellow warning level to the orange warning level is 30 liters and the water amount discharged from the drainage system is 10 liters, the second target water immersion capacity is 40 liters.
In practical application, the server can determine the second target water immersion capacity according to the first target mean value precipitation information and the second target mean value precipitation information which are acquired from the weather bureau, and the early warning time and the second early warning time for triggering the first early warning level.
Specifically, the second target water immersion capacity may be determined according to the following formula:
Vyellow-orange=(p1+p2)*(tOrange-tYellow colour)/2
Wherein, VYellow-orangeRepresenting a second target water immersion capacity; p1 represents first target mean precipitation information; p2 represents second target mean precipitation information; t is tYellow colourRepresenting early warning time corresponding to the yellow early warning level; t is tOrangeAnd representing the early warning time corresponding to the orange early warning grade.
S240, determining a third target water immersion capacity corresponding to a third early warning level according to the second target mean value precipitation information, the third target mean value precipitation information, the early warning time of the second early warning level and the early warning time of the third level.
The third target mean value precipitation information can be understood as mean precipitation information corresponding to the moment of triggering the red early warning level. The third target water immersion capacity may be understood as a target water immersion capacity from the orange to red warning levels, including the accumulated water amount from the preset orange to red warning levels and the water amount discharged from the drainage system.
Specifically, in practical application, the server may determine the third target water immersion capacity according to the second target mean value precipitation information and the third target mean value precipitation information acquired from the weather bureau, and the early warning time for triggering the second early warning level and the third early warning time.
Specifically, the third target water immersion capacity may be determined according to the following formula:
Vorange-red=(p2+p3)*(tRed wine-tOrange)/2
Wherein, VOrange-redRepresenting a third target water immersion capacity; p2 represents second target mean precipitation information; p3 represents third target mean precipitation information; t is tRed wineRepresenting early warning time corresponding to the red early warning level; t is tOrangeAnd representing the early warning time corresponding to the orange early warning grade.
According to the technical scheme of the embodiment, when the early warning information corresponding to each early warning level is received, the corresponding early warning time is determined, then the server records each early warning time and obtains the average precipitation information corresponding to each early warning time. And determining average precipitation information of each discrete moment in the preset time length, and determining at least three pieces of target mean value precipitation information according to the average precipitation information so as to determine the target water immersion capacity corresponding to each early warning moment according to each target mean value precipitation information. Determining a second target water immersion capacity corresponding to a second early warning level according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time of the first early warning level and the early warning time of the second early warning level; and determining a third target water immersion capacity corresponding to the third early warning grade according to the second target mean value precipitation information, the third target mean value precipitation information, the early warning time of the second early warning grade and the early warning time of the third grade, and calculating target estimation time information triggering each early warning time according to the obtained second target water immersion capacity and the third target water immersion capacity. The problem that the target water immersion capacity corresponding to each power distribution facility cannot be accurately determined is solved, and the effects of obtaining the target water immersion capacity corresponding to each early warning moment and determining the target pre-estimation time information according to the target water immersion capacity are achieved.
EXAMPLE III
As an optional embodiment of the foregoing embodiment, fig. 3 is a schematic flow chart of a pre-warning method for water immersion according to a third embodiment of the present invention, and optionally, the pre-estimated target time information corresponding to each pre-warning level is determined according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning level, and is refined.
As shown in fig. 3, the method includes:
s310, when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity.
S320, determining a second early warning pre-estimation time corresponding to a second early warning level according to a second target water immersion capacity, precipitation information in the event attribute information and the early warning time corresponding to the first early warning level.
The second early warning estimated time can be understood as the estimated time for triggering the orange early warning level.
In practical application, after the server receives the early warning information triggering the yellow early warning level, the early warning time triggering the yellow early warning level, namely the early warning time corresponding to the first early warning level, is obtained, precipitation amount information corresponding to the current time is obtained at the same time, and a second early warning estimated time corresponding to the second early warning level can be obtained according to the determined second target water immersion capacity.
Specifically, the second early warning predicted time may be determined according to the following formula:
tprediction of orange=VYellow-orange/pCurrent precipitation+tCurrent time of day
Wherein, tPrediction of orangeRepresents the secondEarly warning and estimating time; vYellow-orangeRepresenting a second target water immersion capacity; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
In addition, V isYellow-orangeAnd determining a second target water immersion capacity according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time for triggering the first early warning level and the second early warning time in the last rainfall process. According to the second target water immersion capacity and the current precipitation amount obtained in the last rainfall, the time required for reaching the second target water immersion capacity in the current rainfall can be determined, the time required for reaching the second target water immersion capacity is superposed on the current time information, and the second early warning estimation time corresponding to the second early warning grade can be determined.
S330, determining a third early warning pre-estimation time corresponding to a third early warning grade according to the second target water immersion capacity, the third target water immersion capacity, precipitation information in the event attribute information and the early warning time corresponding to the first early warning grade.
The third early warning estimated time can be understood as the time of triggering the red early warning level.
In practical application, when the server receives the early warning information of the yellow early warning level, the second early warning estimation time can be determined according to the second target water immersion capacity, the current precipitation information and the early warning time corresponding to the first early warning level, and the third early warning estimation time corresponding to the third early warning level can be determined according to the second target water immersion capacity, the third target water immersion capacity, the precipitation information in the event attribute information and the early warning time corresponding to the first early warning level.
Specifically, the third early warning predicted time may be determined according to the following formula:
tred estimation=(VYellow-orange+VOrange-red)/pCurrent precipitation+tCurrent time of day
Wherein, tRed estimationRepresenting a third early warning estimated time; vYellow-orangeRepresenting a second target water immersion capacity; vOrange-redRepresenting a third target water immersion capacity; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
In addition, V isYellow-orangeAnd VOrange-redThe target water immersion capacities obtained in the last rainfall are respectively corresponding to the second target water immersion capacity and the third target water immersion capacity.
S340, updating the second early warning estimated time and the third early warning estimated time according to the second early warning estimated time, the third early warning estimated time and the precipitation information corresponding to the first early warning level to obtain the target estimated time information.
In the practical application process, when the early warning estimated time corresponding to each early warning level is actually predicted, the second early warning estimated time and the third early warning estimated time can be updated according to the current rainfall acquired by the server, so that more accurate early warning estimated time can be obtained, and the updated early warning estimated time is used as the target estimated time information of each early warning level.
Specifically, taking the early warning information of the yellow early warning level received by the server as an example, the server may determine the time from the triggering of the yellow early warning time to the current time according to the early warning time of triggering the yellow early warning level and the current time, and then determine the precipitation information at the current time according to the average precipitation information corresponding to the current time period. Wherein the precipitation information may be determined according to the following formula:
Valready reduced water amount=pAverage precipitation*tTime after yellow warning
Wherein, VAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment;
paverage precipitationRepresenting average precipitation information corresponding to the current time period; t is tTime after yellow warningIndicating a triggerAnd the time length from the yellow early warning moment to the current moment.
The estimated time from the yellow warning level to the orange warning level after correction can be determined according to the following formula:
tprediction of orange=(VYellow-orange-VAlready reduced water amount)/pCurrent precipitation+tCurrent time
Wherein, tPrediction of orangeRepresenting time information corresponding to the early warning level from yellow to orange; vYellow-orangeRepresenting water immersion capacity information corresponding to a yellow early warning grade to an orange early warning grade; vAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
The estimated time from the yellow early warning level to the red early warning level after correction can be determined according to the following formula:
tred estimation=(VYellow-orange+VOrange-red-VAlready reduced water amount)/pCurrent precipitation+tCurrent time
Wherein, tRed estimationRepresenting time information corresponding to the early warning level from yellow to red; vYellow-orangeRepresenting water immersion capacity information corresponding to a yellow early warning grade to an orange early warning grade; vOrange-redRepresenting water immersion capacity information corresponding to an orange early warning grade to a red early warning grade; vAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
It should be noted that, each time it rains, the server records the early warning time for triggering each early warning level and the average precipitation amount corresponding to each time, and determines the target water immersion capacity between each early warning level. When the server triggers the first early warning level in the next rainfall, the server can be compared with the average rainfall in the last rainfall to determine the average rainfall closest to the current rainfall, and the target estimated time information is calculated under the average rainfall. And then, under the same or similar rainfall, taking the obtained average value of the three target water immersion capacities closest to the current rainfall as the target water immersion capacity corresponding to each early warning level at the time.
This arrangement is advantageous in that since the drainage capacity of the drainage system in the vicinity of each distribution facility is not fixed, for example, when the drainage system is relatively smooth, the drainage capacity is relatively high, and accordingly, the target water immersion capacity corresponding to each warning level is relatively large, and when the drainage system is clogged, the drainage capacity is weakened, and the drainage capacity is relatively low, and accordingly, the target water immersion capacity corresponding to each warning level is relatively small. Therefore, the average value of the target water immersion capacity which is closest to the current time for three times is used as the target water immersion capacity corresponding to each early warning level, and the obtained target estimated time information is more accurate.
And S350, feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment.
According to the technical scheme of the embodiment, the second early warning estimated time corresponding to the second early warning level is determined according to the second target water immersion capacity, the precipitation amount information in the event attribute information and the early warning time corresponding to the first early warning level, so that the time for reaching the second early warning estimated time is determined, that is, the time for triggering the second early warning level can be determined according to the triggering time of the first early warning level. And determining a third early warning estimated time corresponding to a third early warning level according to the second target water immersion capacity, the third target water immersion capacity, the precipitation information in the event attribute information and the early warning time corresponding to the first early warning level, so as to determine the time for reaching the third early warning estimated time, that is, the time for triggering the third early warning level can be determined according to the triggering time of the second early warning level. And updating the second early warning estimated time and the third early warning estimated time according to the second early warning estimated time, the third early warning estimated time and the precipitation information corresponding to the first early warning grade to obtain the target estimated time information, so that a user can take maintenance measures for the power distribution facility in time according to the target estimated time information. The problem that the trigger time of each early warning moment cannot be predicted in advance is solved, and the effect that the trigger time of each early warning moment can be predicted in advance is achieved, so that a user can take corresponding measures according to the predicted trigger time.
Example four
In a specific example, a waterlogging prevention early warning device is installed on each power distribution facility, the waterlogging prevention early warning device comprises 3 water level sensors, the installation height of the lowest water level sensor is generally 5cm, and when the ground water level of the installation position is 5cm, yellow early warning (namely, a first early warning level) is triggered; the mounting height of the middle water level sensor is generally 20cm, and when the ground water level of the mounting position is 20cm, an orange early warning (namely, a second early warning level) is triggered; the highest water level sensor is generally installed at the position of 40cm, and when the ground water level of the installation position is 40cm, a red early warning (namely, a third early warning level) is triggered.
The water level sensor can monitor the ponding condition near the power distribution facility, and after the ponding reaches certain degree of depth, can trigger corresponding early warning level. After the early warning level is triggered, the waterlogging prevention early warning device sends early warning information to the server, and the server automatically records the early warning level triggering time of each waterlogging prevention early warning device, if yellow early warning is recorded as tYellow colourOrange early warning is recorded as tOrangeAnd the red early warning is recorded as tRed wineAnd meanwhile, recording the average precipitation p1, p2 and p3 of each time period monitored by the local meteorological bureau. Then, according to the early warning time and the average precipitation amount corresponding to each early warning time, the water immersion capacity between the yellow early warning level and the orange early warning level (namely, the second target water immersion capacity) and the water immersion capacity between the red early warning levels (namely, the third target water immersion capacity) can be obtained.
The water immersion capacity between the yellow early warning level and the orange early warning level can be determined by the following formula:
Vyellow-orange=(p1+p2)*(tOrange-tYellow colour)/2
Wherein, VYellow-orangeRepresenting a second target water immersion capacity; p1 represents first target mean precipitation information; p2 represents second target mean precipitation information; t is tYellow colourRepresenting early warning time corresponding to the yellow early warning level; t is tOrangeAnd representing the early warning time corresponding to the orange early warning grade.
The water immersion capacity between the orange warning level to the red warning level may be determined by the following formula:
Vorange-red=(p2+p3)*(tRed wine-tOrange)/2
Wherein, VOrange-redRepresenting a third target water immersion capacity; p2 represents second target mean precipitation information; p3 represents third target mean precipitation information; t is tRed wineRepresenting early warning time corresponding to the red early warning level; t is tOrangeAnd representing the early warning time corresponding to the orange early warning grade.
After the water immersion capacity between the yellow early warning level and the orange early warning level and the water immersion capacity between the orange early warning level and the red early warning level are obtained, the server can record the water immersion capacity corresponding to each early warning level, so that the water immersion capacity corresponding to each early warning level obtained at this time is used as the estimated water immersion capacity corresponding to each early warning level when rainfall next time.
When the next rainfall is detected, when the yellow early warning level is triggered, the server can acquire the rainfall amount of the local weather bureau at the current moment, and based on the rainfall amount, the estimated time (namely, the second early warning estimated time) corresponding to the triggering of the orange early warning level and the estimated time (namely, the third early warning estimated time) corresponding to the triggering of the red early warning level are obtained.
The estimated time corresponding to the triggered orange early warning level can be determined according to the following formula:
tprediction of orange=VYellow-orange/pCurrent precipitation+tCurrent time of day
Wherein, tPrediction of orangeRepresenting a second early warning estimated time; vYellow-orangeIs shown asSecond target water immersion capacity;
pcurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
The estimated time corresponding to the trigger orange early warning level can be determined according to the following formula:
tred estimation=(VYellow-orange+VOrange-red)/pCurrent precipitation+tCurrent time of day
Wherein, tRed estimationRepresenting a third early warning estimated time; vYellow-orangeRepresenting a second target water immersion capacity; vOrange-redRepresenting a third target water immersion capacity; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
In the estimation process, the server can continuously correct the triggering time of each early warning moment according to the current precipitation and the precipitation so as to obtain more accurate estimation time.
Specifically, the precipitation information may be determined according to the following formula:
Valready reduced water amount=pAverage precipitation*tTime after yellow warning
Wherein, VAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment;
paverage precipitationRepresenting average precipitation information corresponding to the current time period; t is tTime after yellow warningAnd indicating the time length information from the moment of triggering the yellow early warning to the current moment.
The estimated time from the yellow warning level to the orange warning level after correction can be determined according to the following formula:
tprediction of orange=(VYellow-orange-VAlready reduced water amount)/pCurrent precipitation+tCurrent time
Wherein the content of the first and second substances,tprediction of orangeRepresenting time information corresponding to the early warning level from yellow to orange; vYellow-orangeRepresenting water immersion capacity information corresponding to a yellow early warning grade to an orange early warning grade; vAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
The estimated time from the yellow early warning level to the red early warning level after correction can be determined according to the following formula:
tred estimation=(VYellow-orange+VOrange-red-VAlready reduced water amount)/pCurrent precipitation+tCurrent time
Wherein, tRed estimationRepresenting time information corresponding to the early warning level from yellow to red;
Vyellow-orangeRepresenting water immersion capacity information corresponding to a yellow early warning grade to an orange early warning grade; vOrange-redRepresenting water immersion capacity information corresponding to an orange early warning grade to a red early warning grade; vAlready reduced water amountRepresenting precipitation information from triggering the yellow early warning level to the current moment; p is a radical ofCurrent precipitationRepresenting the acquired precipitation information corresponding to the current moment; t is tCurrent time of dayAnd the time information indicating the precipitation corresponding to the current time is acquired by the server.
It should be noted that the server may record the early warning of each rainfall according to yellow, orange, red, and record the different water immersion capacities at each rainfall amount. And when the early warning level is triggered in the next rainfall, selecting the water immersion capacity of the rainfall amount closest to each early warning level according to the similar principle to calculate. And under the same precipitation, taking the average value of the water immersion capacities of the last three times as the calculated estimated water immersion capacity.
According to the technical scheme of the embodiment, when a triggering target event is detected, event attribute information of the target event is acquired, the server determines target water immersion capacity information corresponding to each early warning level according to the triggering time of the target event, current precipitation information and initial water immersion capacity information of each early warning level, and determines target estimated time of each early warning level. And determining target pre-estimation time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade, and determining time information corresponding to each pre-warning grade according to the target pre-estimation time information. And feeding back the target estimated time information to target terminal equipment to remind a user corresponding to the target terminal equipment, so that the user can timely maintain the power distribution facility according to the target estimated time. The problem of among the prior art can only provide current early warning level information that soaks to the user, lead to the user probably can't in time maintain the distribution facility is solved, realized confirming the time information that each early warning level corresponds in advance to the user is according to the effect of the early warning information that soaks in time collection maintenance measure.
EXAMPLE five
Fig. 4 is a water immersion early warning device provided in the fifth embodiment of the present invention, which includes: an attribute information acquisition module 410, a time information determination module 420, and a user alert module 430.
The attribute information acquiring module 410 is configured to acquire event attribute information of a target event when a trigger target event is detected; the event attribute information comprises precipitation information and initial water immersion capacity;
a time information determining module 420, configured to determine, according to the event attribute information and a predetermined target water immersion capacity corresponding to each early warning level, target estimated time information corresponding to each early warning level;
and the user reminding module 430 is configured to feed back the target estimated time information to the target terminal device, so as to remind a user corresponding to the target terminal device.
According to the technical scheme of the embodiment, when a triggering target event is detected, event attribute information of the target event is acquired, the server determines target water immersion capacity information corresponding to each early warning level according to the triggering time of the target event, current precipitation information and initial water immersion capacity information of each early warning level, and determines target estimated time of each early warning level. And determining target pre-estimation time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade, and determining time information corresponding to each pre-warning grade according to the target pre-estimation time information. And feeding back the target estimated time information to target terminal equipment to remind a user corresponding to the target terminal equipment, so that the user can timely maintain the power distribution facility according to the target estimated time. The problem of among the prior art can only provide current early warning level information that soaks to the user, lead to the user probably can't in time maintain the distribution facility is solved, realized confirming the time information that each early warning level corresponds in advance to the user is according to the effect of the early warning information that soaks in time collection maintenance measure.
On the basis of any optional technical scheme in the embodiment of the present invention, optionally, the submerging early warning device further includes:
the target water immersion capacity determining module is used for determining the target water immersion capacity corresponding to each early warning grade;
the target water immersion capacity determination module includes:
the early warning time determining submodule is used for determining corresponding early warning time when early warning information corresponding to each early warning level is received;
and the target water immersion capacity determining submodule is used for determining the target water immersion capacity according to the average precipitation information of each moment in a preset time and the early warning moment.
On the basis of any optional technical solution in the embodiment of the present invention, optionally, the target water immersion capacity determination submodule includes:
the rainfall information determining unit is used for determining average rainfall information of each discrete moment in the preset duration and determining at least three pieces of target average rainfall information according to the average rainfall information;
the second target water immersion capacity determining unit is used for determining second target water immersion capacity corresponding to the second early warning grade according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time of the first early warning grade and the early warning time of the second early warning grade;
and the third target water immersion capacity determining unit is used for determining the third target water immersion capacity corresponding to the third early warning level according to the second target mean value precipitation information, the third target mean value precipitation information, the early warning time of the second early warning level and the early warning time of the third level.
On the basis of any optional technical solution in the embodiment of the present invention, optionally, the time information determining module includes:
a second early warning estimation time determining unit, configured to determine a second early warning estimation time corresponding to a second early warning level according to a second target water immersion capacity, precipitation information in the event attribute information, and an early warning time corresponding to the first early warning level;
a third early warning pre-estimation time determining unit, configured to determine a third early warning pre-estimation time corresponding to a third early warning level according to the second target water immersion capacity, the third target water immersion capacity, precipitation information in the event attribute information, and an early warning time corresponding to the first early warning level;
and the target estimated time information determining unit is used for updating the second early warning estimated time and the third early warning estimated time according to the second early warning estimated time, the third early warning estimated time and the precipitation information corresponding to the first early warning level to obtain the target estimated time information.
The early warning device for flooding provided by the embodiment of the invention can execute the early warning method for flooding provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
EXAMPLE six
Fig. 5 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary electronic device 40 suitable for use in implementing embodiments of the present invention. The electronic device 40 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, electronic device 40 is embodied in the form of a general purpose computing device. The components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 that couples the various system components (including the system memory 402 and the processing unit 401).
Bus 403 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 40 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 40 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)404 and/or cache memory 405. The electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interface 411. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 412. As shown, the network adapter 412 communicates with the other modules of the electronic device 40 over the bus 403. It should be appreciated that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 401 executes various functional applications and data processing by running a program stored in the system memory 402, for example, to implement the water immersion warning method provided by the embodiment of the present invention.
EXAMPLE seven
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a pre-warning method for flooding, and the method includes:
when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity;
determining target pre-estimated time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade;
and feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for early warning of flooding, comprising:
when a trigger target event is detected, acquiring event attribute information of the target event; the event attribute information comprises precipitation information and initial water immersion capacity;
determining target pre-estimated time information corresponding to each pre-warning grade according to the event attribute information and the pre-determined target water immersion capacity corresponding to each pre-warning grade;
and feeding back the target estimated time information to target terminal equipment so as to remind a user corresponding to the target terminal equipment.
2. The method of claim 1, further comprising:
determining target water immersion capacity corresponding to each early warning level;
the determining of the target water immersion capacity corresponding to each early warning level comprises the following steps:
when early warning information corresponding to each early warning level is received, determining corresponding early warning time;
and determining the target water immersion capacity according to the average precipitation information of each moment in a preset time and the early warning moment.
3. The method according to claim 2, wherein the determining the target water immersion capacity according to the average precipitation information at each time within a preset time and the early warning time comprises:
determining average precipitation information of each discrete moment in the preset duration, and determining at least three pieces of target mean precipitation information according to the average precipitation information;
determining a second target water immersion capacity corresponding to a second early warning level according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time of the first early warning level and the early warning time of the second early warning level;
and determining a third target water immersion capacity corresponding to the third early warning level according to the second target mean value precipitation information, the third target mean value precipitation information, the early warning time of the second early warning level and the early warning time of the third level.
4. The method according to claim 3, wherein the determining the target estimated time information corresponding to each early warning level according to the event attribute information and the predetermined target water immersion capacity corresponding to each early warning level comprises:
determining a second early warning estimation time corresponding to a second early warning level according to a second target water immersion capacity, precipitation information in the event attribute information and the early warning time corresponding to the first early warning level;
determining a third early warning estimation time corresponding to a third early warning level according to the second target water immersion capacity, the third target water immersion capacity, precipitation information in the event attribute information and the early warning time corresponding to the first early warning level;
and updating the second early warning estimated time and the third early warning estimated time according to the second early warning estimated time, the third early warning estimated time and the precipitation information corresponding to the first early warning level to obtain the target estimated time information.
5. A pre-warning device soaks, its characterized in that includes:
the attribute information acquisition module is used for acquiring event attribute information of a target event when the trigger target event is detected; the event attribute information comprises precipitation information and initial water immersion capacity;
the time information determining module is used for determining target pre-estimated time information corresponding to each early warning grade according to the event attribute information and the predetermined target water immersion capacity corresponding to each early warning grade;
and the user reminding module is used for feeding back the target estimated time information to the target terminal equipment so as to remind the user corresponding to the target terminal equipment.
6. The apparatus of claim 5, wherein the pre-warning apparatus for flooding further comprises:
the target water immersion capacity determining module is used for determining the target water immersion capacity corresponding to each early warning grade;
the target water immersion capacity determination module includes:
the early warning time determining submodule is used for determining corresponding early warning time when early warning information corresponding to each early warning level is received;
and the target water immersion capacity determining submodule is used for determining the target water immersion capacity according to the average precipitation information of each moment in a preset time and the early warning moment.
7. The apparatus of claim 6, wherein the target water immersion capacity determination submodule comprises:
the rainfall information determining unit is used for determining average rainfall information of each discrete moment in the preset duration and determining at least three pieces of target average rainfall information according to the average rainfall information;
the second target water immersion capacity determining unit is used for determining second target water immersion capacity corresponding to the second early warning grade according to the first target mean value precipitation information, the second target mean value precipitation information, the early warning time of the first early warning grade and the early warning time of the second early warning grade;
and the third target water immersion capacity determining unit is used for determining the third target water immersion capacity corresponding to the third early warning level according to the second target mean value precipitation information, the third target mean value precipitation information, the early warning time of the second early warning level and the early warning time of the third level.
8. The apparatus of claim 7, wherein the time information determining module comprises:
a second early warning estimation time determining unit, configured to determine a second early warning estimation time corresponding to a second early warning level according to a second target water immersion capacity, precipitation information in the event attribute information, and an early warning time corresponding to the first early warning level;
a third early warning pre-estimation time determining unit, configured to determine a third early warning pre-estimation time corresponding to a third early warning level according to the second target water immersion capacity, the third target water immersion capacity, precipitation information in the event attribute information, and an early warning time corresponding to the first early warning level;
and the target estimated time information determining unit is used for updating the second early warning estimated time and the third early warning estimated time according to the second early warning estimated time, the third early warning estimated time and the precipitation information corresponding to the first early warning level to obtain the target estimated time information.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the submersion warning method according to any one of claims 1 to 4.
10. A storage medium containing computer-executable instructions for performing the pre-warning method of flooding as recited in any one of claims 1-4 when executed by a computer processor.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115457741A (en) * 2022-08-15 2022-12-09 广东新电电力科技有限公司 Low-power consumption water immersion alarm sensor device with multi-stage alarm

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103618289A (en) * 2013-12-06 2014-03-05 上海贝电实业(集团)股份有限公司 Method for improving flood-control electric safety level of outdoor cabinet
JP2015075371A (en) * 2013-10-08 2015-04-20 富士通株式会社 Level detector and level monitoring system
CN104732729A (en) * 2015-04-10 2015-06-24 厦门理工学院 Energy-saving type flood early warning method and device for garage
CN105067072A (en) * 2015-07-27 2015-11-18 湖南大麓管道工程有限公司 Water-level rising early-warning system and method
CN108257358A (en) * 2018-01-26 2018-07-06 谢永航 Predictive automobile water immersion prevention alarm system
CN109343584A (en) * 2018-10-12 2019-02-15 广东电网有限责任公司 A kind of full-automatic water logging alarm of cable shaft and drain control unit
US10577256B1 (en) * 2015-01-05 2020-03-03 Sutro Connect Inc. Water monitoring device with replaceable reagent cartridge

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015075371A (en) * 2013-10-08 2015-04-20 富士通株式会社 Level detector and level monitoring system
CN103618289A (en) * 2013-12-06 2014-03-05 上海贝电实业(集团)股份有限公司 Method for improving flood-control electric safety level of outdoor cabinet
US10577256B1 (en) * 2015-01-05 2020-03-03 Sutro Connect Inc. Water monitoring device with replaceable reagent cartridge
CN104732729A (en) * 2015-04-10 2015-06-24 厦门理工学院 Energy-saving type flood early warning method and device for garage
CN105067072A (en) * 2015-07-27 2015-11-18 湖南大麓管道工程有限公司 Water-level rising early-warning system and method
CN108257358A (en) * 2018-01-26 2018-07-06 谢永航 Predictive automobile water immersion prevention alarm system
CN109343584A (en) * 2018-10-12 2019-02-15 广东电网有限责任公司 A kind of full-automatic water logging alarm of cable shaft and drain control unit

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115457741A (en) * 2022-08-15 2022-12-09 广东新电电力科技有限公司 Low-power consumption water immersion alarm sensor device with multi-stage alarm

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