Intelligent irrigation control system based on big data analysis

Abstract

The invention relates to the technical field of intelligent irrigation control, in particular to an intelligent irrigation control system based on big data analysis, which comprises an intelligent irrigation control platform, an irrigation information unit, a demand evaluation unit, a pressure regulation supervision unit, a working condition interference unit, a management and control analysis unit and an irrigation response unit. Analysis is carried out from the angle of irrigation performance, so that the irrigation pressure of the target area is adjusted according to the information feedback condition, the constant-pressure continuous effect of irrigation in the target area is guaranteed, meanwhile, the irrigation supervision effect is improved, and the irrigation efficiency is improved. And pressure regulation safety risk supervision feedback analysis is performed on the pressure regulation interference information in a progressive manner to reduce the influence of a rear-end booster pump and a pipeline on the irrigation effect, and irrigation control optimization evaluation analysis is further performed on the irrigation control data to know whether the current irrigation control scheme needs to be optimized or not, so that the accuracy of irrigation control is improved. The irrigation control effect and reliability of the target area are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent irrigation control, and in particular to an intelligent irrigation control system based on big data analysis. Background Art

[0002] In the existing technology, it is impossible to conduct constant-pressure continuous irrigation supervision and analysis on the irrigation process, thereby reducing the control effect of constant-pressure irrigation, and affecting the irrigation effect and control accuracy of the region. It is also impossible to evaluate the irrigation regulation risk, which is not conducive to timely targeted management of irrigation pressure regulation risks, reducing the reliability of irrigation pressure regulation control, and it is impossible to optimize the current irrigation control plan for supervision and analysis, thereby affecting the overall irrigation control effect.

[0003] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent irrigation control system based on big data analysis to solve the above-mentioned technical defects. The present invention analyzes from the perspective of irrigation performance to understand the irrigation management needs of the target area, so as to adjust the irrigation pressure of the target area according to the information feedback to ensure the constant pressure continuity effect of the irrigation in the target area, and at the same time help to improve the irrigation supervision effect. The operation interference information is supervised and analyzed by information feedback to understand the pressure regulation interference level of the rear-end booster pump, so as to provide data support for subsequent analysis, thereby helping to improve the irrigation management accuracy, and the pressure regulation safety risk supervision feedback analysis is performed on the pressure regulation interference information in a progressive manner, so as to rationally manage the rear-end booster pump according to the information feedback, so as to reduce the impact of the rear-end booster pump and pipeline on the irrigation effect, thereby helping to improve the irrigation management effect of the target area, and further perform irrigation control optimization evaluation analysis on the irrigation control data to understand whether the current irrigation control scheme needs to be optimized to improve the irrigation control effect and reliability of the target area.

[0005] The object of the present invention can be achieved by the following technical solutions: A smart irrigation control system based on big data analysis, including a smart irrigation control platform, an irrigation information unit, a demand assessment unit, a voltage regulation supervision unit, a working condition interference unit, a management and control analysis unit and an irrigation response unit;

[0006] The irrigation information unit is used to collect irrigation performance information and voltage regulation interference information of the target area, and send the irrigation performance information and voltage regulation interference information to the demand assessment unit and the voltage regulation supervision unit respectively;

[0007] After receiving the irrigation performance information, the demand assessment unit immediately performs an irrigation management demand supervision assessment analysis on the irrigation performance information, compares and analyzes the obtained pressure regulation demand assessment index T, and obtains a pressure regulation signal;

[0008] The voltage regulation supervision unit is used to respond to the voltage regulation signal and perform voltage regulation safety risk supervision feedback analysis on the received voltage regulation interference information, compare and analyze the obtained voltage regulation risk assessment coefficient TA, and obtain a normal signal and an alarm signal;

[0009] The working condition interference unit is used to respond to the pressure regulation signal and collect the operation interference information of the rear-end booster pump, and perform pressure regulation interference working condition supervision analysis on the operation interference information to obtain the interference operation index FH;

[0010] The control and analysis unit is used to respond to normal signals and collect irrigation control data in the current area, and perform irrigation control optimization evaluation analysis on the irrigation control data, compare and analyze the obtained optimization demand evaluation coefficient YH, and obtain an optimization signal.

[0011] Preferably, the irrigation management demand supervision assessment analysis process of the demand assessment unit is as follows:

[0012] The irrigation period of the target area is collected and set as the time threshold, and the irrigation performance information of the irrigation head in the target area within the time threshold is obtained. The irrigation performance information includes the required pressure regulation value and the flow index. According to the formula T = (TY×a1+LZ×a2) 2 ×a3 to obtain the pressure regulation demand assessment index, where TY represents the pressure regulation required value, LZ represents the flow index, a1 and a2 are the preset proportional factor coefficients of the pressure regulation required value and the flow index respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, T is the pressure regulation demand assessment index, and the pressure regulation demand assessment index T is compared with the preset pressure regulation demand assessment index threshold value stored in the internal input to obtain the pressure regulation signal

[0013] Preferably, the analysis process of the required pressure regulation value is as follows: the actual water outlet pressure of the irrigation head in the target area within the time threshold is obtained, and the required pressure regulation value is obtained according to the formula TY=YZ-SY, wherein SY represents the actual water outlet pressure and YZ represents the preset water outlet pressure threshold; the analysis process of the flow index is as follows: the actual water outlet flow rate and the water outlet per unit time of the irrigation head in the target area within the time threshold are obtained, and the flow coefficient is obtained according to the formula LK=SC×b1×DL×b2, wherein SC represents the actual water outlet flow rate, DL represents the water outlet per unit time, b1 and b2 are respectively the preset weight coefficients of the actual water outlet flow rate and the water outlet per unit time, and the flow index is obtained according to the formula LZ=YK-LK, LK is the flow coefficient, and YK is the preset flow coefficient threshold.

[0014] Preferably, the voltage regulation safety risk supervision feedback analysis process of the voltage regulation supervision unit is as follows:

[0015] Obtaining the pressure regulation interference information of the back-end booster pump within the time threshold, the pressure regulation interference information including the pipeline damage value and the interference deviation index;

[0016] The analysis process of pipeline damage value is as follows:

[0017]

[0018] Among them, XL represents the pipeline leakage per unit time, XS represents the mean value of pipeline leakage velocity, GB represents the total area of ​​bulge, v1 is the preset damage influence factor coefficient, v1 is greater than zero, and G is the pipeline damage value;

[0019] The analysis process of the interference deviation index is as follows:

[0020]

[0021] Wherein, JZ represents the intake resistance value, FK represents the valve opening deviation value, n1 is the preset intake correction factor coefficient, n2 is the preset proportional coefficient, n1 and n2 are both greater than zero, and GP is the interference deviation index;

[0022] According to the formula The pressure regulation risk assessment coefficient is obtained, where α, β and ε are the preset correction coefficients of the pipeline damage value G, the interference deviation index GP and the interference operation index FH respectively, α, β and ε are all greater than zero, TA is the pressure regulation risk assessment coefficient, and the pressure regulation risk assessment coefficient TA is compared and analyzed with the preset pressure regulation risk assessment coefficient threshold value entered and stored internally to obtain normal signals and alarm signals.

[0023] Preferably, the voltage regulation interference working condition supervision and analysis process of the working condition interference unit is as follows:

[0024] Obtaining the operation interference information of the rear-end booster pump within the time threshold;

[0025] The analysis process of the external interference index is as follows:

[0026]

[0027] Wherein, SZ represents the water quality assessment value, which represents the volume of particulate impurities in a unit water body; GN represents the energy supply risk value, which represents the part of the fluctuation frequency of the energy supply voltage that exceeds the preset threshold; w1 represents the preset water quality proportional coefficient; w2 represents the preset voltage proportional factor; WZ represents the external interference index; w1 and w2 are both greater than zero;

[0028] The analysis process of the internal interference index is as follows:

[0029]

[0030] Wherein, ZT represents the state evaluation value, which represents the part of the product value obtained by multiplying the normalized values ​​of the operating temperature, abnormal temperature sound and vibration amplitude data that exceeds the preset threshold value; YW represents the management index, which represents the sum of the values ​​of the number of maintenance delays and the number of failures after data normalization; m1 and m2 are the preset influence coefficients of the state evaluation value and the management index, respectively, and both m1 and m2 are greater than zero; NZ is the internal interference index;

[0031] The external interference index and the internal interference index are compared and analyzed with the preset external interference index and internal interference index thresholds recorded and stored internally to obtain the first-level interference, the second-level interference and the third-level interference, and the first-level interference, the second-level interference and the third-level interference are set as the interference operation index FH, FH=1, 2, 3.

[0032] Preferably, the irrigation control optimization evaluation and analysis process of the management and control analysis unit is as follows:

[0033] Obtain the irrigation control data of the target area within the time threshold. The irrigation control data includes the efficiency risk coefficient and the control evaluation index. Substitute the efficiency risk coefficient and the control evaluation index into the formula The optimization demand assessment coefficient is obtained, wherein YH represents the optimization demand assessment coefficient. The optimization demand assessment coefficient YH is compared and analyzed with the preset optimization demand assessment coefficient threshold value entered and stored internally to obtain an optimization signal.

[0034] Preferably, the analysis process of the efficiency risk coefficient is as follows:

[0035]

[0036] Among them, YS represents the abnormal loss value, which indicates that the total energy consumption of historical irrigation exceeds the preset total energy consumption threshold. JS represents the irrigation loss value, which indicates the total amount of water leakage in historical irrigation. c1 and c2 are the preset correction factors for the abnormal loss value and irrigation loss value, respectively. Both c1 and c2 are greater than zero. RX is the efficiency risk coefficient.

[0037] Preferably, the analysis process of the control evaluation index is as follows:

[0038]

[0039] Among them, RM represents the number of control delays, RU represents the total number of controls, RO represents the environmental supervision error value, and the environmental supervision error value represents the proportion of the number of errors in environmental parameter collection feedback. RP is the control evaluation index, e1 and e2 are the preset fault tolerance coefficients, and both e1 and e2 are greater than zero.

[0040] The beneficial effects of the present invention are as follows:

[0041] (1) The present invention analyzes from the perspective of irrigation performance to understand the irrigation management needs of the target area, so as to adjust the irrigation pressure of the target area according to the information feedback to ensure the constant pressure continuity effect of the irrigation in the target area, and at the same time help to improve the irrigation supervision effect. The operating interference information is analyzed by means of information feedback to understand the pressure regulation interference level of the back-end booster pump, so as to provide data support for subsequent analysis, thereby helping to improve the accuracy of irrigation control;

[0042] (2) The present invention performs a feedback analysis of the pressure regulation safety risk supervision on the pressure regulation interference information in a progressive manner, so as to rationally manage the back-end booster pump according to the information feedback, so as to reduce the impact of the back-end booster pump and pipeline on the irrigation effect, thereby helping to improve the irrigation management and control effect of the target area, and further perform irrigation control optimization evaluation and analysis on the irrigation control data to understand whether the current irrigation control scheme needs to be optimized to improve the irrigation control effect and reliability of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings;

[0044] Figure 1 It is a flowchart of the system of the present invention;

[0045] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0046] 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.

[0047] Embodiment 1:

[0048] See also Figure 1 to Figure 2As shown, the present invention is an intelligent irrigation control system based on big data analysis, including an intelligent irrigation control platform, an irrigation information unit, a demand assessment unit, a voltage regulation supervision unit, a working condition interference unit, a management and control analysis unit and an irrigation response unit. The intelligent irrigation control platform is connected to the irrigation information unit in a one-way communication manner, the irrigation information unit is connected to the demand assessment unit and the voltage regulation supervision unit in a one-way communication manner, the demand assessment unit is connected to the voltage regulation supervision unit, the working condition interference unit and the irrigation response unit in a one-way communication manner, the working condition interference unit is connected to the voltage regulation supervision unit in a one-way communication manner, the voltage regulation supervision unit is connected to the management and control analysis unit in a one-way communication manner, the management and control analysis unit is connected to the irrigation response unit in a one-way communication manner, and the intelligent irrigation control platform is connected to the irrigation response unit in a wireless communication manner;

[0049] When the smart irrigation control platform generates a supervision instruction, it sends the supervision instruction to the irrigation information unit. After receiving the supervision instruction, the irrigation information unit immediately collects the irrigation performance information and pressure regulation interference information of the target area, and sends the irrigation performance information and pressure regulation interference information to the demand assessment unit and the pressure regulation supervision unit respectively. After receiving the irrigation performance information, the demand assessment unit immediately conducts an irrigation management demand supervision assessment and analysis on the irrigation performance information to understand the irrigation management demand of the target area, so as to adjust the irrigation pressure of the target area according to the information feedback, so as to ensure the constant pressure continuity effect of irrigation in the target area, and at the same time help to improve the irrigation supervision effect. The specific irrigation management demand supervision assessment and analysis process is as follows:

[0050] The irrigation period of the target area is collected and set as the time threshold, and the irrigation performance information of the irrigation head in the target area within the time threshold is obtained. The irrigation performance information includes the required pressure regulation value and the flow index. According to the formula T = (TY×a1+LZ×a2) 2 ×a3 to obtain the pressure regulation demand assessment index, where TY represents the pressure regulation required value, LZ represents the flow index, a1 and a2 are the preset proportional factor coefficients of the pressure regulation required value and the flow index respectively, and the proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, T is the pressure regulation demand assessment index, and the pressure regulation demand assessment index T is compared with the preset pressure regulation demand assessment index threshold value stored in the internal input for analysis:

[0051] If the ratio between the voltage regulation demand assessment index T and the preset voltage regulation demand assessment index threshold is less than 1, no signal is generated;

[0052] If the ratio between the pressure regulation demand assessment index T and the preset pressure regulation demand assessment index threshold is greater than or equal to 1, a pressure regulation signal is generated and sent to the irrigation response unit. After receiving the pressure regulation signal, the irrigation response unit immediately performs a preset early warning operation corresponding to the pressure regulation signal to ensure the constant pressure continuity effect of irrigation in the target area, and at the same time help to improve the irrigation supervision effect;

[0053] In the embodiment of the present invention, the analysis process of the required pressure regulation value is as follows: the actual water outlet pressure of the irrigation head in the target area within the time threshold is obtained, and the required pressure regulation value is obtained according to the formula TY=YZ-SY, wherein SY represents the actual water outlet pressure, and YZ represents the preset water outlet pressure threshold. It should be noted that the analysis is performed from the perspective of constant pressure continuity so as to timely adjust the pressure change to ensure constant pressure water outlet, which is helpful to improve the irrigation supervision effect;

[0054] In the embodiment of the present invention, the analysis process of the flow index is as follows: the actual water flow rate and the water output per unit time of the irrigation head in the target area within the time threshold are obtained, and the flow coefficient is obtained according to the formula LK=SC×b1×DL×b2, wherein SC represents the actual water flow rate, DL represents the water output per unit time, b1 and b2 are respectively the preset weight coefficients of the actual water flow rate and the water output per unit time, and the flow index is obtained according to the formula LZ=YK-LK, LK is the flow coefficient, YK is the preset flow coefficient threshold, b1 and b2 are both greater than zero, and it should be noted that the analysis is performed from the perspective of actual water output performance to understand the irrigation control demand of the target area;

[0055] When a pressure regulation signal is generated, the pressure regulation supervision unit is used to respond to the pressure regulation signal and perform pressure regulation safety risk supervision feedback analysis on the received pressure regulation interference information, so as to rationally manage the back-end booster pump according to the information feedback, so as to reduce the impact of the back-end booster pump and pipeline on the irrigation effect, thereby helping to improve the irrigation effect of the target area. The specific pressure regulation safety risk supervision feedback analysis process is as follows:

[0056] Obtaining the pressure regulation interference information of the back-end booster pump within the time threshold, the pressure regulation interference information including the pipeline damage value and the interference deviation index;

[0057] In the embodiment of the present invention, the analysis process of the pipeline damage value is as follows:

[0058]

[0059] Among them, XL represents the pipeline leakage per unit time, XS represents the mean value of pipeline leakage velocity, GB represents the total area of ​​bulge, v1 is the preset damage influence factor coefficient, v1 is greater than zero, and G is the pipeline damage value;

[0060] In the embodiment of the present invention, the analysis process of the interference deviation index is as follows:

[0061]

[0062] Wherein, JZ represents the intake resistance value, FK represents the valve opening deviation value, n1 is the preset intake correction factor coefficient, n2 is the preset proportional coefficient, n1 and n2 are both greater than zero, and GP is the interference deviation index;

[0063] According to the formula The pressure regulation risk assessment coefficient is obtained, where α, β and ε are preset correction coefficients of pipeline damage value G, interference deviation index GP and interference operation index FH respectively, α, β and ε are all greater than zero, TA is the pressure regulation risk assessment coefficient, and the pressure regulation risk assessment coefficient TA is compared and analyzed with the preset pressure regulation risk assessment coefficient threshold value stored in the internal input:

[0064] If the ratio between the voltage regulation risk assessment coefficient TA and the preset voltage regulation risk assessment coefficient threshold is less than 1, a normal signal is generated;

[0065] If the ratio between the pressure regulation risk assessment coefficient TA and the preset pressure regulation risk assessment coefficient threshold is greater than or equal to 1, an alarm signal is generated, and the alarm signal is sent to the irrigation response unit through the management and control analysis unit. After receiving the alarm signal, the irrigation response unit immediately performs the preset early warning operation corresponding to the alarm signal to reduce the impact of the rear-end booster pump on the irrigation effect, thereby helping to improve the irrigation effect of the target area.

[0066] Embodiment 2:

[0067] When the pressure regulation signal is generated, the working condition interference unit is used to respond to the pressure regulation signal and collect the operation interference information of the rear-end booster pump, and perform pressure regulation interference working condition supervision and analysis on the operation interference information to understand the pressure regulation interference level of the rear-end booster pump, so as to provide data support for subsequent analysis. The specific pressure regulation interference working condition supervision and analysis process is as follows:

[0068] Obtaining operation interference information of the rear-end booster pump within a time threshold, the operation interference information including an external interference index and an internal interference index;

[0069] In the embodiment of the present invention, the analysis process of the external interference index is as follows:

[0070]

[0071] Wherein, SZ represents the water quality assessment value, which represents the volume of particulate impurities in a unit water body; GN represents the energy supply risk value, which represents the part of the fluctuation frequency of the energy supply voltage that exceeds the preset threshold; w1 represents the preset water quality proportional coefficient; w2 represents the preset voltage proportional factor; WZ represents the external interference index; w1 and w2 are both greater than zero;

[0072] In the embodiment of the present invention, the analysis process of the internal interference index is as follows:

[0073]

[0074] Wherein, ZT represents the state evaluation value, which represents the part of the product value obtained by multiplying the normalized values ​​of the operating temperature, abnormal temperature sound and vibration amplitude data that exceeds the preset threshold value; YW represents the management index, which represents the sum of the values ​​of the number of maintenance delays and the number of failures after data normalization; m1 and m2 are the preset influence coefficients of the state evaluation value and the management index, respectively, and both m1 and m2 are greater than zero; NZ is the internal interference index;

[0075] The external interference index and the internal interference index are compared and analyzed with the preset external interference index and the internal interference index thresholds stored in the internal storage:

[0076] If the external interference index is less than the preset external interference index threshold, and the internal interference index is less than the preset internal interference index threshold, it is determined to be first-level interference;

[0077] If the external interference index is greater than or equal to the preset external interference index threshold, and the internal interference index is less than the preset internal interference index threshold, or the external interference index is less than the preset external interference index threshold, and the internal interference index is greater than or equal to the preset internal interference index threshold, it is determined to be secondary interference;

[0078] If the external interference index is greater than or equal to the preset external interference index threshold, and the internal interference index is greater than or equal to the preset internal interference index threshold, it is determined to be a third-level interference, wherein the voltage regulation interference degrees corresponding to the first-level interference, the second-level interference and the third-level interference are increased in sequence, and the first-level interference, the second-level interference and the third-level interference are set as the interference operation index FH, FH = 1, 2, 3, that is, the interference operation index FH = 1, which indicates the first-level interference, the interference operation index FH = 2, which indicates the second-level interference, and the interference operation index FH = 3, which indicates the third-level interference;

[0079] When a normal signal is generated, the control and analysis unit is used to respond to the normal signal and collect the irrigation control data of the current area, and perform irrigation control optimization evaluation and analysis on the irrigation control data to understand whether the current irrigation control scheme needs to be optimized to improve the irrigation control effect and reliability of the target area. The specific irrigation control optimization evaluation and analysis process is as follows:

[0080] Obtain the irrigation control data of the target area within the time threshold. The irrigation control data includes the efficiency risk coefficient and the control evaluation index. Substitute the efficiency risk coefficient and the control evaluation index into the formula The optimization demand assessment coefficient is obtained, where YH represents the optimization demand assessment coefficient, and the optimization demand assessment coefficient YH is compared and analyzed with the preset optimization demand assessment coefficient threshold value stored in the internal input:

[0081] If the ratio between the optimization demand assessment coefficient YH and the preset optimization demand assessment coefficient threshold is less than 1, no signal is generated;

[0082] If the ratio between the optimization demand assessment coefficient YH and the preset optimization demand assessment coefficient threshold is greater than or equal to 1, an optimization signal is generated and sent to the irrigation response unit. After receiving the optimization signal, the irrigation response unit immediately performs a preset early warning operation corresponding to the optimization signal, so as to optimize and adjust the current irrigation control plan according to the information feedback, for example, shorten the control response time, so as to improve the irrigation control effect and reliability of the target area;

[0083] In the embodiment of the present invention, the analysis process of the efficiency risk coefficient is as follows:

[0084]

[0085] Among them, YS represents the abnormal loss value, which means the part of the total energy consumption of historical irrigation that exceeds the preset total energy consumption threshold, JS represents the irrigation loss value, which means the total amount of water leakage in historical irrigation, c1 and c2 are the preset correction factors of the abnormal loss value and irrigation loss value respectively, and both c1 and c2 are greater than zero, and RX is the efficiency risk coefficient;

[0086] In the embodiment of the present invention, the analysis process of the control evaluation index is as follows:

[0087]

[0088] Among them, RM represents the number of control delays, RU represents the total number of controls, RO represents the environmental control error value, and the environmental control error value represents the percentage of the number of environmental parameter collection feedback errors. RP is the control evaluation index, e1 and e2 are the preset fault tolerance coefficients, and both e1 and e2 are greater than zero.

[0089] In summary, the present invention analyzes from the perspective of irrigation performance to understand the irrigation management needs of the target area, so as to adjust the irrigation pressure of the target area according to the information feedback to ensure the constant pressure continuity effect of the irrigation in the target area, and at the same time help to improve the irrigation supervision effect, and the operation interference information is supervised and analyzed by means of information feedback to understand the pressure regulation interference level of the rear-end booster pump, so as to provide data support for subsequent analysis, thereby helping to improve the irrigation management accuracy, and the pressure regulation safety risk supervision feedback analysis is performed on the pressure regulation interference information in a progressive manner, so as to rationally manage the rear-end booster pump according to the information feedback, so as to reduce the impact of the rear-end booster pump and pipeline on the irrigation effect, thereby helping to improve the irrigation management effect of the target area, and further perform irrigation control optimization evaluation analysis on the irrigation control data to understand whether the current irrigation control scheme needs to be optimized to improve the irrigation control effect and reliability of the target area.

[0090] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0091] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A smart irrigation control system based on big data analysis, characterized in that: It includes intelligent irrigation control platform, irrigation information unit, demand assessment unit, voltage regulation supervision unit, working condition interference unit, management and control analysis unit and irrigation response unit; The irrigation information unit is used to collect irrigation performance information and voltage regulation interference information of the target area, and send the irrigation performance information and voltage regulation interference information to the demand assessment unit and the voltage regulation supervision unit respectively; After receiving the irrigation performance information, the demand assessment unit immediately performs an irrigation management demand supervision assessment analysis on the irrigation performance information, compares and analyzes the obtained pressure regulation demand assessment index T, and obtains a pressure regulation signal; The voltage regulation supervision unit is used to respond to the voltage regulation signal and perform voltage regulation safety risk supervision feedback analysis on the received voltage regulation interference information, compare and analyze the obtained voltage regulation risk assessment coefficient TA, obtain a normal signal and an alarm signal, and send the alarm signal to the irrigation response unit through the control and analysis unit. After receiving the alarm signal, the irrigation response unit immediately performs a preset early warning operation corresponding to the alarm signal; The working condition interference unit is used to respond to the pressure regulation signal and collect the operation interference information of the rear-end booster pump, and perform pressure regulation interference working condition supervision analysis on the operation interference information to obtain the interference operation index FH; The management and analysis unit is used to respond to normal signals and collect irrigation control data in the current area, and perform irrigation control optimization evaluation and analysis on the irrigation control data, and compare and analyze the obtained optimization demand evaluation coefficient YH. If the ratio between the optimization demand evaluation coefficient YH and the preset optimization demand evaluation coefficient threshold is less than 1, no signal is generated. If the ratio between the optimization demand evaluation coefficient YH and the preset optimization demand evaluation coefficient threshold is greater than or equal to 1, an optimization signal is generated and sent to the irrigation response unit. After receiving the optimization signal, the irrigation response unit immediately performs a preset early warning operation corresponding to the optimization signal.

2. The intelligent irrigation control system based on big data analysis according to claim 1 is characterized in that: The irrigation management demand supervision assessment analysis process of the demand assessment unit is as follows: The irrigation period of the target area is collected and set as the time threshold, and the irrigation performance information of the irrigation head in the target area within the time threshold is obtained. The irrigation performance information includes the required pressure regulation value and the flow index. According to the formula T = (TY×a1+LZ×a2) 2 ×a3 to obtain the pressure regulation demand assessment index, where TY represents the required pressure regulation value, LZ represents the flow index, a1 and a2 are the preset proportional factor coefficients of the required pressure regulation value and the flow index respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, T is the pressure regulation demand assessment index, and the pressure regulation demand assessment index T is compared and analyzed with the preset pressure regulation demand assessment index threshold value entered and stored internally to obtain the pressure regulation signal.

3. The intelligent irrigation control system based on big data analysis according to claim 2 is characterized in that: The analysis process of the required pressure regulation value is as follows: the actual water outlet pressure of the irrigation head in the target area within the time threshold is obtained, and the required pressure regulation value is obtained according to the formula TY=YZ-SY, wherein SY represents the actual water outlet pressure and YZ represents the preset water outlet pressure threshold; the analysis process of the flow index is as follows: the actual water outlet flow rate and the water outlet per unit time of the irrigation head in the target area within the time threshold are obtained, and the flow coefficient is obtained according to the formula LK=SC×b1×DL×b2, wherein SC represents the actual water outlet flow rate, DL represents the water outlet per unit time, b1 and b2 are respectively the preset weight coefficients of the actual water outlet flow rate and the water outlet per unit time, and the flow index is obtained according to the formula LZ=YK-LK, LK is the flow coefficient, and YK is the preset flow coefficient threshold.

4. The intelligent irrigation control system based on big data analysis according to claim 1 is characterized in that: The voltage regulation safety risk supervision feedback analysis process of the voltage regulation supervision unit is as follows: Obtaining the pressure regulation interference information of the back-end booster pump within the time threshold, the pressure regulation interference information including the pipeline damage value and the interference deviation index; The analysis process of pipeline damage value is as follows: Among them, XL represents the pipeline leakage per unit time, XS represents the mean value of pipeline leakage velocity, GB represents the total area of ​​bulge, v1 is the preset damage influence factor coefficient, v1 is greater than zero, and G is the pipeline damage value; The analysis process of the interference deviation index is as follows: Wherein, JZ represents the intake resistance value, FK represents the valve opening deviation value, n1 is the preset intake correction factor coefficient, n2 is the preset proportional coefficient, n1 and n2 are both greater than zero, and GP is the interference deviation index; According to the formula The pressure regulation risk assessment coefficient is obtained, where α, β and ε are the preset correction coefficients of the pipeline damage value G, the interference deviation index GP and the interference operation index FH respectively, α, β and ε are all greater than zero, TA is the pressure regulation risk assessment coefficient, and the pressure regulation risk assessment coefficient TA is compared and analyzed with the preset pressure regulation risk assessment coefficient threshold value entered and stored internally to obtain normal signals and alarm signals.

5. The intelligent irrigation control system based on big data analysis according to claim 1 is characterized in that: The voltage regulation interference condition supervision and analysis process of the condition interference unit is as follows: Obtaining the operation interference information of the rear-end booster pump within the time threshold; The analysis process of the external interference index is as follows: Wherein, SZ represents the water quality assessment value, which represents the volume of particulate impurities in a unit water body; GN represents the energy supply risk value, which represents the part of the fluctuation frequency of the energy supply voltage that exceeds the preset threshold; w1 represents the preset water quality proportional coefficient; w2 represents the preset voltage proportional factor; WZ represents the external interference index; w1 and w2 are both greater than zero; The analysis process of the internal interference index is as follows: Wherein, ZT represents the state evaluation value, which represents the part of the product value obtained by multiplying the normalized values ​​of the operating temperature, abnormal temperature sound and vibration amplitude data that exceeds the preset threshold value; YW represents the management index, which represents the sum of the values ​​of the number of maintenance delays and the number of failures after data normalization; m1 and m2 are the preset influence coefficients of the state evaluation value and the management index, respectively, and both m1 and m2 are greater than zero; NZ is the internal interference index; The external interference index and the internal interference index are compared and analyzed with the preset external interference index and internal interference index thresholds entered and stored internally to obtain first-level interference, second-level interference and third-level interference. If the external interference index is less than the preset external interference index threshold, and the internal interference index is less than the preset internal interference index threshold, it is determined to be first-level interference; if the external interference index is greater than or equal to the preset external interference index threshold, the internal interference index is less than the preset internal interference index threshold, or the external interference index is less than the preset external interference index threshold, and the internal interference index is greater than or equal to the preset internal interference index threshold, it is determined to be second-level interference; if the external interference index is greater than or equal to the preset external interference index threshold, and the internal interference index is greater than or equal to the preset internal interference index threshold, it is determined to be third-level interference, and the first-level interference, second-level interference and third-level interference are set as interference operation indexes FH, FH=1, 2, 3.

6. The intelligent irrigation control system based on big data analysis according to claim 1 is characterized in that: The irrigation control optimization evaluation and analysis process of the management and control analysis unit is as follows: Obtain the irrigation control data of the target area within the time threshold. The irrigation control data includes the efficiency risk coefficient and the control evaluation index. Substitute the efficiency risk coefficient and the control evaluation index into the formula Obtaining an optimization demand assessment coefficient, wherein YH represents the optimization demand assessment coefficient, comparing and analyzing the optimization demand assessment coefficient YH with a preset optimization demand assessment coefficient threshold value stored internally, and obtaining an optimization signal; The analysis process of the efficiency risk coefficient is as follows: Among them, YS represents the abnormal loss value, which means the part of the total energy consumption of historical irrigation that exceeds the preset total energy consumption threshold, JS represents the irrigation loss value, which means the total amount of water leakage in historical irrigation, c1 and c2 are the preset correction factors of the abnormal loss value and irrigation loss value respectively, and both c1 and c2 are greater than zero, and RX is the efficiency risk coefficient; The analysis process of the control assessment index is as follows: Among them, RM represents the number of control delays, RU represents the total number of controls, RO represents the environmental supervision error value, and the environmental supervision error value represents the proportion of the number of errors in environmental parameter collection feedback. RP is the control evaluation index, e1 and e2 are the preset fault tolerance coefficients, and both e1 and e2 are greater than zero.

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