A precipitation measuring device for observation

Abstract

The application discloses a kind of observation with rainfall measuring device, including: measuring module, the rainfall data of acquisition module are obtained, and calculation analysis is carried out, obtain the total rainfall of the measuring area;Prediction module obtains the set of measuring module, and is combined with weather prediction data, the future rainfall of the region is predicted to judge;Processing module obtains the rainfall of sub-regional time, and with the error qualified rainfall prediction amount or error unqualified rainfall prediction amount in corresponding sub-regional addition, obtain the predicted rainfall total value of sub-regional, and based on the predicted rainfall total value of sub-regional, carry out the adjustment judgment;Allocation module obtains the external allocation signal and internal allocation signal of processing module, and completes corresponding allocation work, the present application can accurately measure rainfall, and rainfall prediction is carried out, according to the rainfall obtained by prediction, give safe and reasonable flood discharge plan, ensure the safety of the region when rainfall is large.

Description

Technical Field

[0001] This invention relates to the field of precipitation measurement technology, specifically to a precipitation measurement device for observation. Background Technology

[0002] Chinese patent CN112213798A discloses a precipitation measurement device for observation in permafrost regions, including a base, an outer cylinder above the base, and support columns fixed at the four corners of the bottom of the outer cylinder. The bottoms of the support columns are fixedly connected to the top of the base, and bracket plates are symmetrically fixed to the top of the base. This invention, by setting up a bracket plate, a two-way lead screw, a knob, a vertical plate, a horizontal bar, a clamping plate, and an anti-slip rubber pad, allows for easy assembly and disassembly of the measuring cylinder. After collecting rainwater, the measuring cylinder can be easily removed, facilitating the observation of precipitation. By setting up a support plate, a plug, a triangular block, a fixing block, a guide rod, a sliding plate, a first spring, a trapezoidal block, a connecting rod, a ring, and a pressure plate, the rain-collecting funnel can be easily assembled and disassembled. When needed for carrying, the rain-collecting funnel can be detached from the outer cylinder, reducing the height and making it easier for people to carry.

[0003] In existing technologies, when calculating precipitation, real-time rainfall data is usually obtained at a certain location to obtain the overall rainfall level of the area. However, there is a large error between the calculated data and the actual rainfall data. Furthermore, when there is a risk of flooding due to heavy rainfall, it fails to predict future rainfall and make timely adjustments to the rainwater in the lake area. Summary of the Invention

[0004] The purpose of this invention is to solve the problems mentioned above in the background art, and to propose a precipitation measurement device for observation.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A precipitation measurement device for observation, comprising:

[0007] The measurement module obtains the rainfall data LY from the acquisition module. j The total rainfall in the measured area was obtained through calculation and analysis.

[0008] The prediction module obtains the set A{LY1, LY2, LY3...LY... from the calculation module. m}, and combined with weather forecast data, to predict and judge the future rainfall in the region;

[0009] The processing module obtains the time-based rainfall LQs of the measurement sub-region and adds it to the error-compliant rainfall prediction YHy or error-incompatible rainfall prediction YBy in the corresponding measurement sub-region to obtain the total predicted rainfall value ZYCi of the measurement sub-region. Based on the total predicted rainfall value ZYCi of the measurement sub-region, the module makes allocation judgments.

[0010] The allocation module acquires the external and internal allocation signals from the processing module and completes the corresponding allocation work.

[0011] As a further aspect of the present invention: rainfall data LY j The measurement area is divided into n measurement sub-regions of equal area. Rainfall is obtained by installing a rain gauge in each measurement sub-region, where j is the collection time point, j = 1, 2, 3... m.

[0012] As a further aspect of the present invention, the specific working process of the measurement module is as follows:

[0013] Rainfall data obtained from the acquisition module LY ij Construct sets A{LY1, LY2, LY3...LY} respectively. m};

[0014] Using the formula LQs = LY n1 +LY n2 +...+LY nm The time-varying rainfall LQs of the operator region was calculated. i Where i is the number of sub-regions, i = 1, 2, 3...n.

[0015] As a further aspect of the present invention: the time-varying rainfall LQsi of the measured sub-region is obtained, and a set B{LQs1, LQs2, LQs3...LQsn} is constructed. The rainfall is then calculated using the formula ZY = LQs1 + LQs2 + ... + LQsn. n The total rainfall Zy was calculated.

[0016] As a further aspect of the present invention, the specific working process of the prediction module is as follows:

[0017] Step 1: Plot time j on the x-axis and rainfall data LY on the y-axis. j Using set A as the ordinate, a rainfall-time curve is plotted, and the average rainfall rate ZJl is calculated.

[0018] Step 2: Based on the weather app, obtain the rainfall time Ta and total rainfall Za in the area, plot the standard rainfall-time curve, and calculate the average standard rainfall rate ZJ l B;

[0019] Step 3: Calculate the difference between the average rainfall rate ZJ l and the average standard rainfall rate ZJ l B to obtain the rainfall rate difference CL.

[0020] As a further aspect of the present invention: the rainfall rate difference CL is compared with the rainfall rate difference range value;

[0021] If the value is within the range, an error compliance signal is generated;

[0022] If not, an error failure signal is generated.

[0023] As a further aspect of the present invention: based on the error qualified signal and the error unqualified signal, the measurement sub-regions are classified to obtain error qualified measurement sub-regions and error unqualified measurement sub-regions. The average rainfall rate ZJ l of the error qualified measurement sub-regions is added together to obtain the average qualified rainfall rate ZJ I h. The average rainfall rate ZJ l of the error unqualified measurement sub-regions is added together to obtain the average unqualified rainfall rate ZJ I b.

[0024] As a further aspect of the present invention: the average qualified rainfall rate ZJlh and the average standard rainfall rate ZJlB of the qualified measurement sub-region are obtained, and the qualified rainfall prediction amount YHy is calculated using the formula YHy=(a1*ZJlh+a2*ZJlB)*(Ta-Tx); the unqualified rainfall rate ZJlb of the unqualified measurement sub-region is obtained, and the unqualified rainfall prediction amount YBy is calculated using the formula YHy=ZJlb*(Ta-Tx).

[0025] The total rainfall Zy, the rainfall forecast with acceptable error YHy, and the rainfall forecast with unacceptable error YBy are obtained, and then summed to obtain the total predicted rainfall ZYC for the region.

[0026] Where a1 and a2 are both proportionality coefficients.

[0027] The beneficial effects of this invention are:

[0028] (1) The acquisition module and analysis module of the present invention first collect rainfall data from multiple points, and then calculate the total rainfall in the area. The multi-point distribution acquisition makes the calculated rainfall data more accurate.

[0029] (2) The prediction module of this invention calculates the rainfall rate from the rainfall data and the rainfall data of the app, and performs comparative analysis. Based on the error, the measurement area is classified and then the classification calculation is performed to obtain the rainfall prediction value. The prediction module of this classification process predicts the future rainfall by combining the rainfall over time with the weather forecast, making the rainfall prediction more accurate.

[0030] (3) The processing module and allocation module of the present invention determine whether the region can absorb and accommodate the rainfall based on the obtained predicted rainfall. By calculating the judgment between the lakes within the region and the judgment between the region and the external lakes, a reasonable safe signal for opening and closing the gates to discharge floodwater is given.

[0031] (4) In summary, the precipitation measurement device of the present invention can accurately measure the amount of rainfall and predict the amount of rainfall. Based on the predicted amount of rainfall, it can provide a safe and reasonable flood discharge plan to ensure the safety of the area when the amount of rainfall is large. Attached Figure Description

[0032] The invention will now be further described with reference to the accompanying drawings.

[0033] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Please see Figure 1 As shown, the present invention is a precipitation measurement device for observation, comprising:

[0036] The data acquisition module divides the measurement area into n equal-sized sub-regions. A rain gauge is installed in each sub-region to acquire the corresponding rainfall data, which is then labeled as LY. j j represents the data collection time point, where j = 1, 2, 3...m;

[0037] The measurement module obtains the rainfall data LY from the acquisition module. j The total rainfall in the measured area was obtained through calculation and analysis.

[0038] The specific working process of this calculation module is as follows:

[0039] Step 1: Obtain rainfall data LY from the acquisition module. ij Construct sets A{LY1, LY2, LY3...LY} respectively. m};

[0040] Step 2: Obtain the set A{LY1, LY2, LY3...LY... m The subsets in} are defined by the formula LQs = LYn1 +LY n2 +...+LY nm The time-varying rainfall LQs of the operator region was calculated. i Where i is the number of sub-regions, i = 1, 2, 3...n;

[0041] Step 3: Obtain the time-varying rainfall LQsi for the measured sub-region and construct a set B{LQs1, LQs2, LQs3...LQsn}. Then, use the formula ZY = LQs1 + LQs2 + ... + LQsn. n The total rainfall Zy was calculated.

[0042] The acquisition and analysis modules of this invention first collect rainfall data from multiple points, and then calculate the total rainfall in the area. The multi-point distribution of acquisition makes the calculated rainfall data more accurate.

[0043] The prediction module obtains the set A{LY1, LY2, LY3...LY... from the calculation module. m}, and combined with weather forecast data, to predict and judge the future rainfall in the region;

[0044] The specific working process of this prediction module is as follows:

[0045] Step 1: Plot time j on the x-axis and rainfall data LY on the y-axis. j Using the ordinate as the vertical axis, construct a rectangular coordinate system, and obtain the set A{LY1, LY2, LY3...LY... m Substitute the subset in} into the time-rainfall data coordinate system to draw the rainfall-time curve; calculate the average rainfall rate ZJ l based on the rainfall-time curve;

[0046] Step 2: Based on the weather app, obtain the rainfall time Ta and total rainfall Za for the area, substitute them into the time-rainfall data coordinate system, and draw the standard rainfall-time curve. Based on the standard rainfall-time curve, calculate the average standard rainfall rate ZJ l B.

[0047] Step 3: Obtain the average rainfall rate ZJ l and the average standard rainfall rate ZJ l B, calculate the difference, and obtain the rainfall rate difference CL;

[0048] The obtained rainfall rate difference value CL is compared with the rainfall rate difference range value;

[0049] If the rainfall rate difference CL is within the rainfall rate difference range, it indicates that there is a small error between the rainfall data of the measurement sub-area and the data of the APP, and an error qualified signal is generated.

[0050] If the rainfall rate difference CL is not within the rainfall rate difference range, it indicates that there is a large error between the rainfall data of the measurement sub-area and the data of the APP, and an error failure signal is generated.

[0051] Step 4: Based on the error pass signal and the error fail signal, classify the measurement sub-regions to obtain error pass measurement sub-regions and error fail measurement sub-regions. Add the average rainfall rate ZJ l of the error pass measurement sub-regions to obtain the average pass rainfall rate ZJ I h. Add the average rainfall rate ZJ l of the error fail measurement sub-regions to obtain the average fail rainfall rate ZJ I b.

[0052] Step 5: Obtain the average qualified rainfall rate ZJIh and the average standard rainfall rate ZJlB for the qualified measurement sub-region. Calculate the qualified rainfall forecast YHy using the formula YHy=(a1*ZJlh+a2*ZJlB)*(Ta-Tx). Obtain the average unqualified rainfall rate ZJIb for the unqualified measurement sub-region. Calculate the unqualified rainfall forecast YBy using the formula YHy=ZJlb*(Ta-Tx). Where a1 and a2 are proportionality coefficients, with a1 taking a value of 0.25 and a2 taking a value of 0.36.

[0053] Step 6: Summing up the total rainfall Zy, the acceptable rainfall forecast YHy, and the unacceptable rainfall forecast YBy, we can obtain the total predicted rainfall ZYC for the region.

[0054] The prediction module of this invention calculates the rainfall rate by comparing and analyzing the rainfall data of the present rainfall and the rainfall data of the app. It then classifies the measurement area according to the error and performs classification calculation processing to obtain the rainfall prediction value. This classification and processing prediction module predicts the future rainfall by combining the rainfall over time with the weather forecast, making the rainfall prediction more accurate.

[0055] The processing module obtains the time-based rainfall LQs of the measurement sub-region and adds it to the error-compliant rainfall prediction YHy or error-incompatible rainfall prediction YBy in the corresponding measurement sub-region to obtain the total predicted rainfall value ZYCi of the measurement sub-region. Based on the total predicted rainfall value ZYCi of the measurement sub-region, the module makes allocation judgments.

[0056] The specific working process of this processing module is as follows:

[0057] Step 1: Obtain the total predicted rainfall value ZYC i for the measurement sub-region and the corresponding lake capacity value for the measurement sub-region. Calculate the difference between the two to obtain the rainfall storage value CYi for the measurement sub-region. Then, sum the rainfall storage values ​​ZYC i for the measurement sub-region to obtain the total rainfall storage value CYZ for the measurement area.

[0058] Step 2: Compare the obtained sub-region rainfall storage value CYi with the sub-region rainfall storage threshold;

[0059] If the rainfall storage value CY i of the measurement sub-region is greater than the rainfall storage threshold of the measurement sub-region, it means that the measurement sub-region cannot accommodate the rainfall, and the first allocation signal is generated.

[0060] If the rainfall storage value CY i of the measurement sub-region is less than the rainfall storage threshold of the measurement sub-region, it means that the measurement sub-region has reached the capacity to accommodate the rainfall, and the first non-matching signal is generated.

[0061] The total rainfall storage value CYZ obtained from the measurement area will be compared with the total rainfall storage threshold of the measurement area.

[0062] If the total rainfall storage value CYZ of the measured area is greater than the total rainfall storage threshold of the measured area, it means that the measured area cannot accommodate the rainfall, and a second allocation signal is generated.

[0063] If the total rainfall storage value CYZ of the measured area is less than the total rainfall storage threshold of the measured area, it means that the measured area has reached the capacity to accommodate the rainfall, and a second non-matching signal is generated.

[0064] Step 3: If the first modulation signal, the first non-modulation signal, the second modulation signal, and the second non-modulation signal are obtained simultaneously;

[0065] If the first allocation signal and the second allocation signal are obtained simultaneously, or the first non-allocation signal and the second allocation signal are obtained simultaneously, then an external allocation signal is generated.

[0066] If the first modulation signal and the second non-modulation signal are obtained simultaneously, an internal modulation signal is generated.

[0067] If both the first unmatched signal and the second unmatched signal are obtained simultaneously, then an unmatched signal is generated.

[0068] The allocation module acquires the external and internal allocation signals from the processing module and completes the corresponding allocation work.

[0069] The specific working process of this allocation module is as follows:

[0070] Step 1: When an internal dispatch signal is received;

[0071] Using the lake in the measurement sub-region as the center, the nearest lake that can accommodate the water flow between the two lakes is obtained and labeled as Vs; at the same time, the average rainfall rate of the two measurement sub-regions is obtained and subtracted to obtain the rainfall rate difference Cysn.

[0072] The internal allocation coefficient Xn is calculated using the formula Xn=a3*Vs-a4*Cysn, where a3 and a4 are proportionality coefficients, with a3 taking a value of 0.63 and a4 taking a value of 0.54.

[0073] The obtained internal allocation coefficient Xn is compared with the internal allocation coefficient threshold.

[0074] If the internal adjustment coefficient Xn is greater than the internal adjustment coefficient threshold, then the two sub-regions can discharge normally, generating a gate non-control signal;

[0075] If the internal allocation coefficient Xn is less than the internal allocation coefficient threshold, then normal flood discharge cannot be carried out between the two sub-regions, and a gate control signal will be generated.

[0076] Step 2: When an external dispatch signal is received;

[0077] Using the center of the measurement area as the center, the nearest accommodating lake outside the measurement area is obtained, and the average water flow velocity between the lake in the measurement area and the accommodating lake is obtained and labeled as VJs; at the same time, the average rainfall rate of the measurement area and the accommodating lake area is obtained and subtracted to obtain the rainfall velocity difference Cysw.

[0078] The internal allocation coefficient Xw is calculated using the formula Xw=a5*VJs-a6*Cysw, where a5 and a6 are proportionality coefficients, with a5 taking the value of 0.74 and a6 taking the value of 0.56.

[0079] The obtained external allocation coefficient Xn is compared with the external allocation coefficient threshold.

[0080] If the external allocation coefficient Xn is greater than the external allocation coefficient threshold, then the two sub-regions can discharge normally, generating a gate non-control signal;

[0081] If the external allocation coefficient Xn is less than the external allocation coefficient threshold, then normal flood discharge cannot be carried out between the two sub-regions, and a gate control signal will be generated.

[0082] The processing module and allocation module of this invention determine whether the region can absorb and accommodate the rainfall based on the obtained predicted rainfall. By calculating the judgment between lakes within the region and the judgment between the region and external lakes, a reasonable safe signal for opening and closing the gates to discharge floodwater is given.

[0083] The working principle of this invention: The measurement module obtains the rainfall data LY from the acquisition module. j The total rainfall in the measured area was obtained through calculation and analysis.

[0084] The prediction module obtains the set A{LY1, LY2, LY3...LY... from the calculation module. m}, and combined with weather forecast data, to predict and judge the future rainfall in the region;

[0085] The processing module obtains the time-based rainfall LQs of the measurement sub-region and adds it to the error-compliant rainfall prediction YHy or error-incompatible rainfall prediction YBy in the corresponding measurement sub-region to obtain the total predicted rainfall value ZYCi of the measurement sub-region. Based on the total predicted rainfall value ZYCi of the measurement sub-region, the module makes allocation judgments.

[0086] The allocation module acquires the external and internal allocation signals from the processing module and completes the corresponding allocation work.

[0087] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A precipitation measurement device for observation, characterized in that, include: The measurement module obtains the rainfall data LY from the acquisition module. j And perform calculations and analysis to obtain the total rainfall in the measured area; The prediction module obtains the set A{LY1, LY2, LY3...LY... from the calculation module. m }, and combined with weather forecast data, to predict and judge the future rainfall in the region; The processing module obtains the time-based rainfall LQs of the measurement sub-region and adds it to the error-compliant rainfall prediction YHy or error-incompatible rainfall prediction YBy in the corresponding measurement sub-region to obtain the total predicted rainfall value ZYCi of the measurement sub-region. Based on the total predicted rainfall value ZYCi of the measurement sub-region, the module makes allocation judgments. The allocation module acquires the external and internal allocation signals from the processing module and completes the corresponding allocation work. Rainfall data LY j The measurement area is divided into n measurement sub-regions of equal area, and the rainfall is obtained by installing a rain gauge in each measurement sub-region, where j is the collection time point, j = 1, 2, 3... m; The specific working process of the prediction module is as follows: Step 1: Plot time j on the x-axis and rainfall data LY on the y-axis. j Using set A as the ordinate, a rainfall-time curve is plotted, and the average rainfall rate ZJI is calculated. Step 2: Based on the weather app, obtain the rainfall time Ta and total rainfall Za for the area, plot the standard rainfall-time curve, and calculate the average standard rainfall rate ZJIB; Step 3: Calculate the difference between the average rainfall rate ZJI and the average standard rainfall rate ZJIB to obtain the rainfall rate difference CL; The rainfall rate difference value CL is obtained and compared with the rainfall rate difference range value; If the value is within the range, an error compliance signal is generated; If not, an error failure signal will be generated; Based on the error qualified signal and the error unqualified signal, the measurement sub-region is classified to obtain the error qualified measurement sub-region and the error unqualified measurement sub-region. The average rainfall rate ZJI of the error qualified measurement sub-region is added together to obtain the average qualified rainfall rate ZJIh. The average rainfall rate ZJI of the error unqualified measurement sub-region is added together to obtain the average unqualified rainfall rate ZJIb. The average qualified rainfall rate ZJIh and the average standard rainfall rate ZJIB of the qualified measurement sub-region are obtained. The qualified rainfall forecast YHy is calculated using the formula YHy=(a1*ZJIh+a2*ZJIB)*(Ta-Tx). The unqualified rainfall forecast YBy is calculated using the formula YHy=ZJIb*(Ta-Tx) of the unqualified measurement sub-region. The total rainfall Zy, the rainfall forecast with acceptable error YHy, and the rainfall forecast with unacceptable error YBy are obtained, and then summed to obtain the total predicted rainfall ZYC for the region. Where a1 and a2 are both proportionality coefficients.

2. The precipitation measurement device for observation according to claim 1, characterized in that, The specific working process of the measurement module is as follows: Rainfall data obtained from the acquisition module LY ij Construct sets A{LY1, LY2, LY3...LY} respectively. m }; Through the formula LQs i =LY n1 +LY n2 +...+LY nm The time-varying rainfall LQs of the operator region was calculated. i Where i is the number of sub-regions, i = 1, 2, 3...n.

3. The precipitation measurement device for observation according to claim 2, characterized in that, Obtain the time-varying rainfall LQsi for the measured sub-region, and construct a set B{LQs1, LQs2, LQs3...LQs... n }, using the formula ZY=LQs1+LQs2+...+LQs n The total rainfall Zy was calculated.

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