Business processing method and system based on water conservancy Internet of Things

Abstract

The invention discloses a business processing method and system based on a water conservancy internet of things, and particularly relates to the technical field of water conservancy business processing. Comprising a water conservancy Internet of Things region division module, a water conservancy Internet of Things information sensing module, a water conservancy Internet of Things water level monitoring module, a water conservancy Internet of Things water level safety evaluation module, a water conservancy Internet of Things water level alarm module and a water conservancy Internet of Things water resource scheduling module. According to the invention, water conservancy monitoring data of each monitoring sub-region of a target monitoring station business management region is obtained through the water conservancy Internet of Things, a water level monitoring early warning index and a meteorological monitoring risk early warning index are obtained through calculation, and a water conservancy Internet of Things water level safety management coefficient and a water conservancy Internet of Things water resource scheduling coefficient are obtained through analysis; based on intelligent subdivision management of water conservancy Internet of Things services and real-time data acquisition, intelligent early warning and positioning of risk areas are realized, comprehensive consideration and accurate calculation of water resource scheduling factors are realized, and the management efficiency of water conservancy monitoring is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy business processing, and more specifically, to a business processing method and system based on a water conservancy Internet of Things. Background Art

[0002] As the core driving force of modern water management, the water conservancy Internet of Things platform not only integrates the most cutting-edge high-tech technologies such as the Internet of Things, big data, cloud computing and artificial intelligence to monitor, analyze and manage water resources and their related environment, but also builds a comprehensive, multi-level and intelligent water resources management system.

[0003] With the continuous development and application of Internet of Things technology, intelligent water conservancy monitoring and scheduling technology based on the Internet of Things will become more and more popular. By establishing an intelligent water conservancy system, we can effectively solve problems in water resources management, improve water resources utilization efficiency, and achieve sustainable development.

[0004] However, there are still some shortcomings in its actual use. For example, the intensification of global climate change and the increasingly prominent contradiction between water supply and demand have made the traditional water management model face many challenges, and the comprehensiveness and accuracy of data collection and monitoring are limited.

[0005] The existing water conservancy Internet of Things business data processing capabilities are insufficient and lack a unified information sharing platform, which leads to problems such as delayed water conservancy data processing, which in turn affects the timeliness and accuracy of water conservancy Internet of Things security assessments. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a business processing method and system based on water conservancy Internet of Things, which are used to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a business processing system based on water conservancy Internet of Things, comprising:

[0008] Water conservancy Internet of Things area division module: used to divide the business management area of ​​the monitoring site of the water conservancy Internet of Things business into various monitoring sub-areas according to the division method of equal area, and number each monitoring sub-area of ​​the business management area of ​​the target monitoring site.

[0009] Water conservancy Internet of Things information perception module: used to obtain water conservancy monitoring data of each monitoring sub-area in the business management area of ​​the target monitoring site through the water conservancy Internet of Things. The water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit. The water conservancy monitoring data includes water level monitoring data and meteorological monitoring data.

[0010] Water level monitoring module of water conservancy Internet of Things: used to receive the water conservancy monitoring data transmitted by the water conservancy Internet of Things information perception module, calculate the water level monitoring and early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the water level monitoring data acquisition unit, and calculate the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the meteorological monitoring data acquisition unit.

[0011] Water level safety assessment module of the hydraulic Internet of Things: It is used to analyze and obtain the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​the target monitoring station based on the water level monitoring and early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station and the meteorological monitoring risk early warning index.

[0012] Water conservancy Internet of Things water level alarm module: used to obtain the water conservancy Internet of Things water level safety management coefficient of the target monitoring site business management area, compare it with the preset water conservancy Internet of Things water level safety management coefficient, and process it.

[0013] Water resources scheduling module of hydraulic Internet of Things: It is used to calculate the water resources scheduling coefficient of hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring station based on the historical water level monitoring and early warning index and historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, and formulate a water resources scheduling plan based on the water resources scheduling factor.

[0014] Preferably, the specific division method of the water conservancy Internet of Things area division module is:

[0015] Obtain the water conservancy Internet of Things business management area of ​​each monitoring site, number each monitoring site, mark them as 1, 2, ...i, ...n, divide the business management area of ​​the monitoring site of the water conservancy Internet of Things business into monitoring sub-areas according to the equal area division method, and number the monitoring sub-areas of the target monitoring site business management area as 1, 2, ...j, ...m in sequence.

[0016] Preferably, the water conservancy Internet of Things information perception module is specifically:

[0017] Water level monitoring data acquisition unit: used to obtain the water level, instantaneous maximum flow, and total storage capacity of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, marked as

[0018] Where i = 1, 2, ...i, ...n, i represents the number of the i-th monitoring site, j = 1, 2, ...j, ...m, j represents the number of the j-th monitoring sub-area;

[0019] Meteorological monitoring data collection unit: used to obtain the wind direction, wind speed, expected rainfall, and expected rainfall duration of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, which are marked as

[0020] Preferably, the water level monitoring module of the water conservancy Internet of Things is specifically:

[0021] Step S01: Obtain the water level height of each monitoring sub-area in the business management area of ​​the target monitoring site, extract the highest water level height and the lowest water level height, and mark them as

[0022] Step S02: Calculate the water level monitoring warning index, the specific calculation formula is:

[0023] in It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station, It is expressed as the total storage capacity of the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the water level height of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the instantaneous maximum flow rate of the jth monitoring sub-area at the ith monitoring station, and e is expressed as a natural constant;

[0024] Step S03: Calculate the meteorological monitoring risk warning index, the specific calculation formula is:

[0025] in It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the wind direction of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the wind speed of the jth monitoring sub-area at the ith monitoring station, It is expressed as the expected rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is expressed as the expected duration of rainfall in the jth monitoring sub-area of ​​the i-th monitoring station, It is represented by the actual rainfall duration of the jth monitoring sub-area at the ith monitoring station, M is the area of ​​the monitoring sub-area, m i It is represented by the number of monitoring sub-areas of the ith monitoring station.

[0026] Preferably, the calculation formula of the water level safety management coefficient of the water conservancy Internet of Things is:

[0027] where θ i It is expressed as the water level safety management coefficient of the water conservancy Internet of Things at the i-th monitoring station, It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the ith monitoring station, ε1 and ε2 are the weight factors of the water level monitoring warning index and the meteorological monitoring risk warning index respectively, and ε1+ε2=1.

[0028] Preferably, the water level alarm module of the water conservancy Internet of Things is specifically:

[0029] Obtain the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​the target monitoring site, and compare it with the preset water level safety management coefficient of the hydraulic Internet of Things. If the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​a monitoring site is greater than the preset water level safety management coefficient of the hydraulic Internet of Things, it indicates that there is an abnormal risk in the water level status of the monitoring site. Count the abnormal monitoring site numbers and send alarm notifications to management personnel through the IoT alarm platform. Otherwise, it indicates that there is no abnormality in the water level status of the monitoring site.

[0030] Preferably, the water resources scheduling module of the water conservancy Internet of Things is specifically:

[0031] Step S01: According to the historical water level monitoring and early warning index and historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, the mean value of the water level monitoring and early warning index and the mean value of the meteorological monitoring risk early warning index in the business management area of ​​the target monitoring station are calculated and marked as Δα i , Δβ i ;

[0032] Step S02: Obtain the water consumption and evaporation of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, and mark them as

[0033] Step S03: Calculate the water resource scheduling factor, the specific calculation formula is:

[0034] in It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the evaporation of the jth monitoring sub-area at the ith monitoring station, It is represented by the water consumption of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station;

[0035] Step S04: The calculation formula of the water resource scheduling coefficient of the water conservancy Internet of Things is:

[0036] in It is expressed as the water resource dispatching coefficient of the water conservancy Internet of Things in the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, Expressed as the preset water resource scheduling factor, It is expressed as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δα i It is represented as the mean value of the water level monitoring and early warning index of the i-th monitoring station, It is represented as the minimum value of the water level monitoring and early warning index of the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δβ i It is represented as the mean value of the meteorological monitoring risk warning index of the i-th monitoring station, It is expressed as the minimum value of the meteorological monitoring risk warning index of the i-th monitoring station;

[0037] Step S05: Obtain the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site, compare it with the preset water resources scheduling coefficient of the hydraulic Internet of Things, screen out the monitoring sub-area numbers greater than the preset value, mark them as water resources scheduling areas, and formulate a water resources scheduling plan.

[0038] Preferably, a business processing method based on water conservancy Internet of Things includes the following steps:

[0039] Step S01: water conservancy Internet of Things area division: specifically, dividing the monitoring site business management area of ​​the water conservancy Internet of Things business into various monitoring sub-areas according to an equal area division method, and numbering each monitoring sub-area of ​​the target monitoring site business management area;

[0040] Step S02: water conservancy Internet of Things information perception: specifically, obtaining water conservancy monitoring data of each monitoring sub-area of ​​the target monitoring site business management area through the water conservancy Internet of Things, the water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit, and the water conservancy monitoring data includes water level monitoring data and meteorological monitoring data;

[0041] Step S03: Water level monitoring of the water conservancy Internet of Things: specifically, the water level monitoring early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the water level monitoring data collection unit, and the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the meteorological monitoring data collection unit;

[0042] Step S04: Water level safety assessment of the water conservancy Internet of Things: specifically, analyzing and obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring station according to the water level monitoring warning index and meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring station;

[0043] Step S05: Water level alarm of the water conservancy Internet of Things: specifically, obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring site, comparing it with the preset water level safety management coefficient of the water conservancy Internet of Things, and processing it;

[0044] Step S06: Water resources scheduling of the hydraulic Internet of Things: Specifically, according to the historical water level monitoring and early warning index and the historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, based on the water resources scheduling factor, the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring station is calculated, and a water resources scheduling plan is formulated.

[0045] Technical effects and advantages of the present invention:

[0046] 1. The present invention provides a business processing method and system based on water conservancy Internet of Things. Water conservancy monitoring data of each monitoring sub-area in the business management area of ​​a target monitoring station are obtained through the water conservancy Internet of Things. The water level monitoring early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station is calculated according to the water level monitoring data acquisition unit. The meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station is calculated according to the meteorological monitoring data acquisition unit. The water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring station is further analyzed and obtained, and compared with the preset water level safety management coefficient of the water conservancy Internet of Things. If the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​a certain monitoring station is greater than the preset water level safety management coefficient of the water conservancy Internet of Things, it indicates that there is an abnormal risk in the water level state of the monitoring station, and the abnormal monitoring station numbers are counted, and an alarm notification is sent to the management personnel through the Internet of Things alarm platform. Otherwise, it indicates that there is no abnormal phenomenon in the water level state of the monitoring station. It is conducive to using sensors and data processing algorithms through the Internet of Things technology, and can more accurately monitor and record key data such as water level and meteorology, reduce human errors, and is conducive to the segmented management of water conservancy Internet of Things services, real-time data collection, and intelligent early warning and positioning of risk areas, thereby improving the management efficiency of water conservancy monitoring.

[0047] 2. The present invention provides a business processing method and system based on the water conservancy Internet of Things. The water resources scheduling module of the water conservancy Internet of Things is used to calculate the water resources scheduling coefficient of the water conservancy Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site based on the historical water level monitoring and early warning index and the historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site, based on the water resources scheduling factor, and compare it with the preset water resources scheduling coefficient of the water conservancy Internet of Things, screen out the numbers of the monitoring sub-areas greater than the preset value, mark them as water resources scheduling areas, and formulate a water resources scheduling plan. Through the water resources scheduling module of the water conservancy Internet of Things, comprehensive consideration and accurate calculation of water resources scheduling factors are realized, thereby improving the intelligent level of water resources management, which is conducive to improving overall work efficiency and coordination capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the system module process connection of the present invention.

[0049] Figure 2 This is a schematic diagram of the structure of the water conservancy Internet of Things information perception module of the present invention.

[0050] Figure 3 It is a schematic diagram of the connection of the method steps of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 As shown, the present invention provides a business processing method and system based on water conservancy Internet of Things, including a water conservancy Internet of Things area division module, a water conservancy Internet of Things information perception module, a water conservancy Internet of Things water level monitoring module, a water conservancy Internet of Things water level safety assessment module, a water conservancy Internet of Things water level alarm module, and a water conservancy Internet of Things water resources scheduling module.

[0053] The water conservancy Internet of Things area division module is connected to the water conservancy Internet of Things information perception module, the water conservancy Internet of Things information perception module is connected to the water conservancy Internet of Things water level monitoring module, the water conservancy Internet of Things water level monitoring module is connected to the water conservancy Internet of Things water level safety assessment module and the water conservancy Internet of Things water resources scheduling module, and the water conservancy Internet of Things water level safety assessment module is connected to the water conservancy Internet of Things water level alarm module.

[0054] The water conservancy Internet of Things area division module is used to divide the monitoring site business management area of ​​the water conservancy Internet of Things business into various monitoring sub-areas in an equal area division manner, and number each monitoring sub-area of ​​the target monitoring site business management area.

[0055] In a possible design, the specific division method of the water conservancy Internet of Things area division module is:

[0056] Obtain the water conservancy Internet of Things business management area of ​​each monitoring site, number each monitoring site, mark them as 1, 2, ...i, ...n, divide the business management area of ​​the monitoring site of the water conservancy Internet of Things business into monitoring sub-areas according to the equal area division method, and number the monitoring sub-areas of the target monitoring site business management area as 1, 2, ...j, ...m in sequence.

[0057] See also Figure 2 As shown, the water conservancy Internet of Things information perception module is used to obtain the water conservancy monitoring data of each monitoring sub-area in the business management area of ​​the target monitoring site through the water conservancy Internet of Things. The water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit. The water conservancy monitoring data includes water level monitoring data and meteorological monitoring data.

[0058] In a possible design, the water conservancy Internet of Things information perception module is specifically:

[0059] Water level monitoring data acquisition unit: used to obtain the water level, instantaneous maximum flow, and total storage capacity of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, marked as

[0060] Where i = 1, 2, ...i, ...n, i represents the number of the i-th monitoring site, j = 1, 2, ...j, ...m, j represents the number of the j-th monitoring sub-area;

[0061] Meteorological monitoring data collection unit: used to obtain the wind direction, wind speed, expected rainfall, and expected rainfall duration of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, which are marked as

[0062] The water level monitoring module of the water conservancy Internet of Things is used to receive the water conservancy monitoring data transmitted by the water conservancy Internet of Things information perception module, and calculate the water level monitoring and early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the water level monitoring data acquisition unit, and calculate the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the meteorological monitoring data acquisition unit.

[0063] In a possible design, the water level monitoring module of the water conservancy Internet of Things is specifically:

[0064] Step S01: Obtain the water level height of each monitoring sub-area in the business management area of ​​the target monitoring site, extract the highest water level height and the lowest water level height, and mark them as

[0065] Step S02: Calculate the water level monitoring warning index, the specific calculation formula is:

[0066] in It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station,

[0067] It is expressed as the total storage capacity of the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the water level height of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the instantaneous maximum flow rate of the jth monitoring sub-area at the ith monitoring station, and e is expressed as a natural constant;

[0068] Step S03: Calculate the meteorological monitoring risk warning index, the specific calculation formula is:

[0069] in It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the wind direction of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the wind speed of the jth monitoring sub-area at the ith monitoring station, It is expressed as the expected rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is expressed as the expected duration of rainfall in the jth monitoring sub-area of ​​the i-th monitoring station, It is represented by the actual rainfall duration of the jth monitoring sub-area at the ith monitoring station, M is the area of ​​the monitoring sub-area, m i It is represented by the number of monitoring sub-areas of the ith monitoring station.

[0070] The water level safety assessment module of the water conservancy Internet of Things is used to analyze and obtain the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring site according to the water level monitoring warning index and meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring site.

[0071] In a possible design, the calculation formula of the water level safety management coefficient of the water conservancy Internet of Things is:

[0072] where θ i It is expressed as the water level safety management coefficient of the water conservancy Internet of Things at the i-th monitoring station, It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the ith monitoring station, ε1 and ε2 are the weight factors of the water level monitoring warning index and the meteorological monitoring risk warning index respectively, and ε1+ε2=1.

[0073] The water conservancy Internet of Things water level alarm module is used to obtain the water conservancy Internet of Things water level safety management coefficient of the target monitoring site business management area, compare it with the preset water conservancy Internet of Things water level safety management coefficient, and process it.

[0074] In a possible design, the water level alarm module of the water conservancy Internet of Things is specifically:

[0075] Obtain the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​the target monitoring site, and compare it with the preset water level safety management coefficient of the hydraulic Internet of Things. If the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​a monitoring site is greater than the preset water level safety management coefficient of the hydraulic Internet of Things, it indicates that there is an abnormal risk in the water level status of the monitoring site. Count the abnormal monitoring site numbers and send alarm notifications to management personnel through the IoT alarm platform. Otherwise, it indicates that there is no abnormality in the water level status of the monitoring site.

[0076] The water resources scheduling module of the water conservancy Internet of Things is used to calculate the water resources scheduling coefficient of the water conservancy Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site based on the historical water level monitoring and early warning index and the historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site, based on the water resources scheduling factor, and formulate a water resources scheduling plan.

[0077] In a possible design, the water resources scheduling module of the water conservancy Internet of Things is specifically:

[0078] Step S01: According to the historical water level monitoring and early warning index and historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, the mean value of the water level monitoring and early warning index and the mean value of the meteorological monitoring risk early warning index in the business management area of ​​the target monitoring station are calculated and marked as Δα i , Δβ i ;

[0079] Step S02: Obtain the water consumption and evaporation of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, and mark them as

[0080] Step S03: Calculate the water resource scheduling factor, the specific calculation formula is:

[0081] in It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the evaporation of the jth monitoring sub-area at the ith monitoring station, It is represented by the water consumption of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station;

[0082] Step S04: The calculation formula of the water resource scheduling coefficient of the water conservancy Internet of Things is:

[0083] in It is expressed as the water resource dispatching coefficient of the water conservancy Internet of Things in the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, Expressed as the preset water resource scheduling factor, It is expressed as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δα i It is represented as the mean value of the water level monitoring and early warning index of the i-th monitoring station, It is represented as the minimum value of the water level monitoring and early warning index of the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δβ i It is represented as the mean value of the meteorological monitoring risk warning index of the i-th monitoring station, It is expressed as the minimum value of the meteorological monitoring risk warning index of the i-th monitoring station;

[0084] Step S05: Obtain the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site, compare it with the preset water resources scheduling coefficient of the hydraulic Internet of Things, screen out the monitoring sub-area numbers greater than the preset value, mark them as water resources scheduling areas, and formulate a water resources scheduling plan.

[0085] See also Figure 3 As shown, in this embodiment, it should be specifically explained that the present invention provides a business processing method based on water conservancy Internet of Things, including the following steps:

[0086] Step S01: water conservancy Internet of Things area division: specifically, dividing the monitoring site business management area of ​​the water conservancy Internet of Things business into various monitoring sub-areas according to an equal area division method, and numbering each monitoring sub-area of ​​the target monitoring site business management area;

[0087] Step S02: water conservancy Internet of Things information perception: specifically, obtaining water conservancy monitoring data of each monitoring sub-area of ​​the target monitoring site business management area through the water conservancy Internet of Things, the water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit, and the water conservancy monitoring data includes water level monitoring data and meteorological monitoring data;

[0088] Step S03: Water level monitoring of the water conservancy Internet of Things: specifically, the water level monitoring early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the water level monitoring data collection unit, and the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the meteorological monitoring data collection unit;

[0089] Step S04: Water level safety assessment of the water conservancy Internet of Things: specifically, analyzing and obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring station according to the water level monitoring warning index and meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring station;

[0090] Step S05: Water level alarm of the water conservancy Internet of Things: specifically, obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring site, comparing it with the preset water level safety management coefficient of the water conservancy Internet of Things, and processing it;

[0091] Step S06: Water resources scheduling of the hydraulic Internet of Things: Specifically, according to the historical water level monitoring and early warning index and the historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, based on the water resources scheduling factor, the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring station is calculated, and a water resources scheduling plan is formulated.

[0092] In this embodiment, it should be specifically explained that the present invention obtains water conservancy monitoring data of each monitoring sub-area of ​​the business management area of ​​the target monitoring site through the water conservancy Internet of Things, calculates the water level monitoring early warning index of each monitoring sub-area of ​​the business management area of ​​the target monitoring site according to the water level monitoring data acquisition unit, and calculates the meteorological monitoring risk early warning index of each monitoring sub-area of ​​the business management area of ​​the target monitoring site according to the meteorological monitoring data acquisition unit. The water level safety management coefficient of the water conservancy Internet of Things of the business management area of ​​the target monitoring site is further analyzed and compared with the preset water level safety management coefficient of the water conservancy Internet of Things. If the water level safety management coefficient of the water conservancy Internet of Things of the business management area of ​​a certain monitoring site is greater than the preset water level safety management coefficient of the water conservancy Internet of Things, it indicates that there is an abnormal risk in the water level state of the monitoring site, and the abnormal monitoring site number is counted, and an alarm notification is sent to the management personnel through the Internet of Things alarm platform. Otherwise, it indicates that there is no abnormal phenomenon in the water level state of the monitoring site, which is conducive to the use of sensors and data processing algorithms through the Internet of Things technology, and can more accurately monitor and record key data such as water level and meteorology, reduce human errors, and is conducive to the segmented management based on the water conservancy Internet of Things business, real-time data collection, and intelligent early warning and positioning of risk areas, thereby improving the management efficiency of water conservancy monitoring.

[0093] In this embodiment, it should be specifically explained that the present invention utilizes the water resources scheduling module of the water conservancy Internet of Things to calculate the water resources scheduling coefficient of the water conservancy Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site based on the water resources scheduling factor, according to the historical water level monitoring and early warning index and the historical meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring site, and compares it with the preset water resources scheduling coefficient of the water conservancy Internet of Things, screens out the numbers of the monitoring sub-areas greater than the preset value, marks them as water resources scheduling areas, and formulates a water resources scheduling plan. Through the water resources scheduling module of the water conservancy Internet of Things, comprehensive consideration and precise calculation of water resources scheduling factors are realized, thereby improving the level of intelligence of water resources management, and facilitating improving overall work efficiency and coordination capabilities.

[0094] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A business processing system based on water conservancy Internet of Things, characterized in that: include: Water conservancy Internet of Things area division module: used to divide the business management area of ​​the monitoring site of the water conservancy Internet of Things business into various monitoring sub-areas according to the division method of equal area, and number each monitoring sub-area of ​​the target monitoring site business management area; Water conservancy Internet of Things information perception module: used to obtain water conservancy monitoring data of each monitoring sub-area in the business management area of ​​the target monitoring site through the water conservancy Internet of Things. The water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit. The water conservancy monitoring data includes water level monitoring data and meteorological monitoring data; Water level monitoring module of the water conservancy Internet of Things: used to receive the water conservancy monitoring data transmitted by the water conservancy Internet of Things information perception module, calculate the water level monitoring early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the water level monitoring data acquisition unit, and calculate the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site according to the meteorological monitoring data acquisition unit; Water level safety assessment module of the water conservancy Internet of Things: used to analyze and obtain the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring station according to the water level monitoring warning index and meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring station; Water conservancy Internet of Things water level alarm module: used to obtain the water conservancy Internet of Things water level safety management coefficient of the target monitoring site business management area, compare it with the preset water conservancy Internet of Things water level safety management coefficient, and process it; Water resources scheduling module of hydraulic Internet of Things: It is used to calculate the water resources scheduling coefficient of hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring station based on the historical water level monitoring and early warning index and historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, and formulate a water resources scheduling plan based on the water resources scheduling factor.

2. According to claim 1, a business processing system based on water conservancy Internet of Things is characterized by: The specific division method of the water conservancy Internet of Things regional division module is as follows: Obtain the water conservancy Internet of Things business management area of ​​each monitoring site, number each monitoring site, mark them as 1, 2, ...i, ...n, divide the business management area of ​​the monitoring site of the water conservancy Internet of Things business into each monitoring sub-area according to the equal area division method, and number each monitoring sub-area of ​​the target monitoring site business management area as 1, 2, ...j, ...m in sequence.

3. A business processing system based on water conservancy Internet of Things according to claim 2, characterized in that: The water conservancy Internet of Things information perception module is specifically: Water level monitoring data acquisition unit: used to obtain the water level, instantaneous maximum flow, and total storage capacity of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, marked as Where i=1,2,...i,...n, i represents the number of the i-th monitoring site, j=1,2,...j,...m, j represents the number of the j-th monitoring sub-area; Meteorological monitoring data collection unit: used to obtain the wind direction, wind speed, expected rainfall, and expected rainfall duration of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, which are marked as 4. A business processing system based on water conservancy Internet of Things according to claim 3, characterized in that: The water level monitoring module of the water conservancy Internet of Things is specifically: Step S01: Obtain the water level height of each monitoring sub-area in the business management area of ​​the target monitoring site, extract the highest water level height and the lowest water level height, and mark them as Step S02: Calculate the water level monitoring warning index, the specific calculation formula is: in It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station, It is represented as the highest water level at the i-th monitoring station, It is expressed as the total storage capacity of the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the water level height of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the instantaneous maximum flow rate of the jth monitoring sub-area at the ith monitoring station, and e is expressed as a natural constant; Step S03: Calculate the meteorological monitoring risk warning index, the specific calculation formula is: in It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is represented as the wind direction of the jth monitoring sub-area at the i-th monitoring station, It is expressed as the wind speed of the jth monitoring sub-area at the ith monitoring station, It is expressed as the expected rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is represented as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station, It is expressed as the expected duration of rainfall in the jth monitoring sub-area of ​​the i-th monitoring station, It is represented by the actual rainfall duration of the jth monitoring sub-area at the ith monitoring station, M is the area of ​​the monitoring sub-area, m i It is represented by the number of monitoring sub-areas of the ith monitoring station.

5. A business processing system based on water conservancy Internet of Things according to claim 4, characterized in that: The calculation formula of the water level safety management coefficient of the water conservancy Internet of Things is: where θ i It is expressed as the water level safety management coefficient of the water conservancy Internet of Things at the i-th monitoring station, It is represented as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the ith monitoring station, ε1 and ε2 are the weight factors of the water level monitoring warning index and the meteorological monitoring risk warning index respectively, and ε1+ε2=1.

6. A business processing system based on water conservancy Internet of Things according to claim 5, characterized in that: The water level alarm module of the water conservancy Internet of Things is specifically: Obtain the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​the target monitoring site, and compare it with the preset water level safety management coefficient of the hydraulic Internet of Things. If the water level safety management coefficient of the hydraulic Internet of Things in the business management area of ​​a monitoring site is greater than the preset water level safety management coefficient of the hydraulic Internet of Things, it indicates that there is an abnormal risk in the water level status of the monitoring site. Count the abnormal monitoring site numbers and send alarm notifications to management personnel through the IoT alarm platform. Otherwise, it indicates that there is no abnormality in the water level status of the monitoring site.

7. A business processing system based on water conservancy Internet of Things according to claim 6, characterized in that: The water resources scheduling module of the water conservancy Internet of Things is specifically: Step S01: According to the historical water level monitoring and early warning index and historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, the mean value of the water level monitoring and early warning index and the mean value of the meteorological monitoring risk early warning index in the business management area of ​​the target monitoring station are calculated and marked as Δα i , Δβ i ; Step S02: Obtain the water consumption and evaporation of each monitoring sub-area in the business management area of ​​the target monitoring station through the water conservancy Internet of Things, and mark them as Step S03: Calculate the water resource scheduling factor, the specific calculation formula is: in It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the evaporation of the jth monitoring sub-area at the ith monitoring station, It is represented by the water consumption of the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the actual rainfall in the jth monitoring sub-area of ​​the ith monitoring station; Step S04: The calculation formula of the water resource scheduling coefficient of the water conservancy Internet of Things is: in It is expressed as the water resource dispatching coefficient of the water conservancy Internet of Things in the jth monitoring sub-area of ​​the i-th monitoring station, It is expressed as the water resource dispatch factor of the jth monitoring sub-area of ​​the i-th monitoring station, Expressed as the preset water resource scheduling factor, It is expressed as the water level monitoring and early warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δα i It is represented as the mean value of the water level monitoring and early warning index of the i-th monitoring station, It is represented as the minimum value of the water level monitoring and early warning index of the i-th monitoring station, It is expressed as the meteorological monitoring risk warning index of the jth monitoring sub-area of ​​the i-th monitoring station, Δβ i It is represented as the mean value of the meteorological monitoring risk warning index of the i-th monitoring station, It is expressed as the minimum value of the meteorological monitoring risk warning index of the i-th monitoring station; Step S05: Obtain the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring site, compare it with the preset water resources scheduling coefficient of the hydraulic Internet of Things, screen out the monitoring sub-area numbers greater than the preset value, mark them as water resources scheduling areas, and formulate a water resources scheduling plan.

8. A business processing method based on water conservancy Internet of Things, using a business processing system based on water conservancy Internet of Things as claimed in any one of claims 1 to 7, characterized in that: The following steps are involved: Step S01: water conservancy Internet of Things area division: specifically, dividing the monitoring site business management area of ​​the water conservancy Internet of Things business into various monitoring sub-areas according to an equal area division method, and numbering each monitoring sub-area of ​​the target monitoring site business management area; Step S02: water conservancy Internet of Things information perception: specifically, obtaining water conservancy monitoring data of each monitoring sub-area of ​​the target monitoring site business management area through the water conservancy Internet of Things, the water conservancy Internet of Things information perception module includes a water level monitoring data acquisition unit and a meteorological monitoring data acquisition unit, and the water conservancy monitoring data includes water level monitoring data and meteorological monitoring data; Step S03: Water level monitoring of the water conservancy Internet of Things: specifically, the water level monitoring early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the water level monitoring data collection unit, and the meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring site is calculated according to the meteorological monitoring data collection unit; Step S04: Water level safety assessment of the water conservancy Internet of Things: specifically, analyzing and obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring station according to the water level monitoring warning index and meteorological monitoring risk warning index of each monitoring sub-area in the business management area of ​​the target monitoring station; Step S05: Water level alarm of the water conservancy Internet of Things: specifically, obtaining the water level safety management coefficient of the water conservancy Internet of Things in the business management area of ​​the target monitoring site, comparing it with the preset water level safety management coefficient of the water conservancy Internet of Things, and processing it; Step S06: Water resources scheduling of the hydraulic Internet of Things: Specifically, according to the historical water level monitoring and early warning index and the historical meteorological monitoring risk early warning index of each monitoring sub-area in the business management area of ​​the target monitoring station, based on the water resources scheduling factor, the water resources scheduling coefficient of the hydraulic Internet of Things for each monitoring sub-area in the business management area of ​​the target monitoring station is calculated, and a water resources scheduling plan is formulated.

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