Integrated self-powered environment monitoring system

Abstract

The invention relates to the field of environment monitoring, and discloses an integrated self-powered environment monitoring system which comprises a self-powered unit, an environment element monitoring unit, a data acquisition unit, a battery unit, a power management unit and a remote management platform. The environment element monitoring unit monitors micrometeorological environment characteristic parameters in real time; the data acquisition unit processes and stores data, the data is interacted with the remote management platform through the radio frequency / antenna unit, the remote management platform judges whether the environment is abnormal or not through the monitoring data analysis unit and carries out early warning, the beneficial effects are remarkable, the integrated design simplifies the installation process, and the construction efficiency is improved; the self-powered function solves the problem of power supply in remote areas; the integrated power management and remote interaction system facilitates real-time maintenance and adjustment, and has a good application prospect in the field of environment monitoring.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring, and particularly to an integrated self-powered environmental monitoring system. Background Art

[0002] In the field of environmental monitoring, traditional split-type environmental monitoring equipment has many drawbacks. Its power system and data acquisition system are independent of each other. When installing, complex wiring and debugging work need to be carried out separately, consuming a large amount of human, material and time costs. Moreover, the protection of each part is difficult to be unified and the overall protection performance is not good. In outdoor harsh environments, such as rainstorm, sandstorm and other weather conditions, the equipment is easily damaged, resulting in interruption or inaccuracy of monitoring data. In addition, the split-type equipment has a large number of connections, which not only increases the risk of failure, but also affects the system reliability due to problems such as wire aging and poor contact.

[0003] In remote areas, due to the difficulty of pulling electricity, the power supply of traditional monitoring equipment has become a problem. If battery power supply is used, it is extremely inconvenient to replace the battery frequently. These problems seriously restrict the efficient development of environmental monitoring work and the improvement of the quality of monitoring data. Therefore, it is urgent to develop an integrated self-powered environmental monitoring system. Summary of the Invention

[0004] The purpose of the present invention is to provide an integrated self-powered environmental monitoring system to solve the above technical problems.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] An integrated self-powered environmental monitoring system arranges environmental monitoring equipment according to preset monitoring points. The environmental monitoring equipment includes:

[0007] A self-powered unit for collecting energy in the environment and converting it into electric energy to supply power to the entire system;

[0008] An environmental element monitoring unit for real-time monitoring of various micro-meteorological environmental characteristic parameters to obtain micro-meteorological environmental data;

[0009] A data acquisition unit preprocesses the micro-meteorological environmental data as environmental monitoring data and stores it locally;

[0010] A radio frequency / antenna unit for realizing remote data transmission and interaction between the data acquisition unit and a remote management platform, sending the processed environmental monitoring data to the remote management platform, and receiving instructions from the remote management platform at the same time;

[0011] A battery unit for storing electric energy and supplying it to the data acquisition unit and the environmental element monitoring unit;

[0012] The remote management platform stores environmental monitoring data in a database, and through the monitoring data analysis unit, first, according to the environmental monitoring data, the environmental anomaly degree is obtained through the environmental anomaly analysis model; then, the data change amount of each micro-meteorological environmental characteristic parameter is calculated.

[0013] Based on the comprehensive comparison result of the environmental anomaly degree, the data change amount with the preset warning threshold and change reference value, and combined with the result of power analysis, comprehensively judge whether there is an anomaly in the current environment. If there is an anomaly, an early warning instruction is generated in a timely manner and sent to the specified terminal.

[0014] In a further solution, the micro-meteorological environmental characteristic parameters include: atmospheric pressure, wind speed, precipitation, temperature, humidity, and light intensity.

[0015] The system further includes: a power management unit, which is used to manage the electric energy input by the self-power supply unit, supply power to the battery unit and the data acquisition unit respectively according to requirements, and record the data of the battery unit.

[0016] In a further solution, the working process of the monitoring data analysis unit includes:

[0017] When the environmental anomaly degree > the warning threshold and the data change amount of at least one micro-meteorological environmental characteristic parameter exceeds the corresponding change reference value, it is determined that there is an anomaly in the current environment and early warning is required; otherwise, it is determined that there is no anomaly in the current environment.

[0018] In a further solution, the working process of the monitoring data analysis unit further includes:

[0019] When it is determined that there is an anomaly in the current environment, the current moment is recorded as t2, and the starting moment t1 is obtained after backtracking a preset time period backward;

[0020] Perform power analysis on the time period from t1 to t2 to determine whether the monitoring anomaly is caused by insufficient power during the time period from t1 to t2;

[0021] If the power is insufficient, further verify the environmental monitoring data and the data of associated monitoring points;

[0022] If it is confirmed that the misjudgment is caused by insufficient power, the early warning is abandoned; otherwise, an early warning instruction is generated immediately and sent to the specified terminal.

[0023] In a further solution, the formula for calculating the data change amount of each micro-meteorological environmental characteristic parameter is: ;

[0024] In the formula, 、 respectively represent the range and change amount of the th micro-meteorological environmental characteristic parameter. , is a weighting factor with a value range of [0, 1], , obtained based on historical data analysis;

[0025] , , respectively represent the maximum and minimum values of the th micro-meteorological environment characteristic parameter during the time period from t1 to t2;

[0026] ; is the th curve of the change of the micro-meteorological environment characteristic parameter with time.

[0027] In a further solution, the process of analyzing the power consumption during the time period from t1 to t2 is as follows:

[0028] Obtain the power data of the battery unit during the time period from t1 to t2, including the curves of battery voltage and current changes;

[0029] If the battery voltage is lower than the preset normal operating voltage threshold and the current changes show abnormal fluctuations, it is determined that there is a power shortage situation.

[0030] In a further solution, the process of judging abnormal fluctuations in current changes is as follows:

[0031] Obtain the starting current value and ending current value corresponding to t1 and t2 respectively;

[0032] Through the formula: current change value = |ending current value - starting current value|, calculate the current change value;

[0033] When the current change value > the current change threshold, it is determined that there are abnormal fluctuations in the battery current during the time period from t1 to t2.

[0034] In a further solution, the process of further verifying the environmental monitoring data and the associated monitoring point data includes:

[0035] Taking the current monitoring point as the center, regard other monitoring points within the coverage area with a preset range d as the associated monitoring points;

[0036] Through the formula: Calculate the difference degree between the current monitoring point and the nearest associated monitoring point ; represents the difference degree reference value obtained based on historical data, represents the th curve of the change of the micro-meteorological environment characteristic parameter of the associated monitoring point with time;

[0037] When ≤ difference threshold If so, it is determined that the misjudgment is caused by insufficient power.

[0038] Advantages of the present invention:

[0039] The present invention makes a comprehensive judgment by combining the data change amounts of various micro-meteorological environment characteristic parameters, the preset warning threshold, and the change reference value, considers the environmental state from multiple perspectives, avoids the limitations of a single judgment index, improves the accuracy of judging whether there is an abnormality in the current environment, and provides a strong guarantee for timely discovering environmental problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings.

[0041] Figure 1 It is a schematic structural diagram of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Please refer to Figure 1 As shown, the present invention is an integrated self-powered environmental monitoring system. Environmental monitoring devices are arranged according to preset monitoring points. The environmental monitoring devices include:

[0044] Self-powered unit, which is used to collect the energy in the environment and convert it into electrical energy to power the entire system; The system is equipped with a self-powered unit, which can collect the energy of solar energy and wind energy in the environment and convert it into electrical energy to power the entire system, enabling the environmental monitoring equipment to work normally in remote areas or places where power supply is inconvenient, getting rid of the dependence on the external power grid, achieving energy self-sufficiency, and greatly expanding the application scope of environmental monitoring; Among them, the self-powered unit is mainly composed of a solar energy collection component, a wind energy collection component, and an energy conversion and integration module; The solar energy collection component uses high-efficiency solar panels, and its working principle is based on the photovoltaic effect to achieve the direct conversion of solar energy into electrical energy; The wind energy collection component uses a small wind turbine. According to the law of electromagnetic induction, an induced electromotive force will be generated in the stator winding of the generator, and then electrical energy will be output to complete the conversion of wind energy into electrical energy; For the integration of electrical energy converted from multiple energy sources, the energy conversion and integration module first rectifies and filters the electrical energy output by the solar panels and wind turbines, converting unstable alternating current or direct current into stable direct current; Then, through a power regulation circuit, according to the real-time power consumption requirements of each part of the system, the integrated electrical energy is reasonably distributed and scheduled. For example, when solar energy is sufficient and the wind is small, solar energy is preferentially used for power supply, and the excess electrical energy is stored in the battery unit; When the wind is strong and solar energy is insufficient, wind energy is mainly relied on for power supply. At the same time, the energy conversion and integration module also has the functions of voltage stabilization and current stabilization to ensure that the electrical energy output to the system is stable and reliable, meeting the normal working requirements of each part such as the data acquisition unit and the environmental element monitoring unit in the system.

[0045] Environmental element monitoring unit, which is used to monitor various micro-meteorological environment characteristic parameters in real time to obtain micro-meteorological environment data;

[0046] Data acquisition unit, which preprocesses the micro-meteorological environment data as environmental monitoring data and stores it locally; The method of data preprocessing is an existing technology, so it will not be elaborated.

[0047] Radio frequency / antenna unit, which is used to realize the remote data transmission and interaction between the data acquisition unit and the remote management platform, send the processed environmental monitoring data to the remote management platform, and receive the instructions of the remote management platform at the same time.

[0048] Battery unit, which is used to store electrical energy and supply it to the data acquisition unit and the environmental element monitoring unit.

[0049] Remote management platform, which stores the environmental monitoring data in the database, and through the monitoring data analysis unit, first obtains the environmental anomaly degree according to the environmental monitoring data through the environmental anomaly analysis model; Then calculate the data change amount of each micro-meteorological environment characteristic parameter.

[0050] Compare the comprehensive environmental anomaly degree, the amount of data change with the preset warning threshold and the change reference value, and then combine the result of the power analysis to comprehensively judge whether there is an anomaly in the current environment. If there is an anomaly, generate a warning instruction in time and send it to the specified terminal.

[0051] In the present invention, the above-mentioned multiple units are all integrated in the environmental monitoring device to form an integrated design. The integrated design integrates each key part into a whole, abandons the cumbersome process of traditional split installation, and there is no need to install the power supply system and the data acquisition system separately, greatly reducing the installation steps and the number of external connections. This not only reduces the construction difficulty and time cost, but also reduces the risk of failures caused by improper construction, improves the reliability of the overall system, and ensures that the monitoring work can be carried out stably and continuously. At the same time, the environmental monitoring device is also provided with a protection unit for protecting and discharging the external input interference to protect the internal system. At the same time, the external of the environmental monitoring device adopts a waterproof structure with a high protection level, effectively resisting external environmental interference and correspondingly reducing the waterproof level requirements for the internal unit.

[0052] The micro-meteorological environment characteristic parameters include: atmospheric pressure, wind speed, precipitation, temperature, humidity and light intensity;

[0053] The system further includes: a power management unit for managing the electric energy input by the self-power supply unit, supplying power to the battery unit and the data acquisition unit respectively according to requirements, and recording the data of the battery unit.

[0054] The working process of the monitoring data analysis unit includes:

[0055] When the environmental anomaly degree > the warning threshold and the data change amount of at least one micro-meteorological environment characteristic parameter exceeds the corresponding change reference value, it is judged that there is an anomaly in the current environment and a warning is required; otherwise, it is judged that there is no anomaly in the current environment.

[0056] By using the pre-trained recurrent neural network model to calculate the environmental anomaly degree, it is possible to learn and capture the complex environmental data characteristics and rules. Compared with simple threshold judgment or traditional analysis methods, the recurrent neural network model can perform in-depth analysis on the multi-dimensional micro-meteorological environment characteristic parameter data, fully considering the mutual correlation and influence between the parameters, so as to more accurately evaluate the anomaly degree of the environment. At the same time, combined with the data change amount of each micro-meteorological environment characteristic parameter and the preset warning threshold and change reference value for comprehensive judgment, considering the environmental state from multiple angles, avoiding the limitations of a single judgment index, improving the accuracy of judging whether there is an anomaly in the current environment, and providing a strong guarantee for timely discovering environmental problems;

[0057] Under different geographical regions and climate conditions, the variation ranges and laws of environmental characteristic parameters are different. The preset warning thresholds and variation reference values can be flexibly adjusted according to the actual situation. Moreover, the recurrent neural network model can also maintain good performance under different data distributions and still operate stably and reliably in a complex and changeable environment, accurately identifying environmental anomalies, reducing the occurrence of misjudgments and missed judgments, and providing stable and reliable technical support for environmental monitoring work.

[0058] The working process of the monitoring data analysis unit further includes:

[0059] When it is determined that there is an anomaly in the current environment, the current moment is recorded as t2, and the starting moment t1 is obtained after tracing back a preset time period backward;

[0060] Perform power analysis on the time period from t1 to t2 to determine whether the monitoring anomaly is caused by insufficient power during the time period from t1 to t2;

[0061] If the power is insufficient, further verify the environmental monitoring data and the data of associated monitoring points;

[0062] If it is confirmed that the misjudgment is caused by insufficient power, the warning is abandoned; otherwise, a warning instruction is immediately generated and sent to the specified terminal.

[0063] In the present invention, in order to solve the problems that the existing anomaly warning mechanism of environmental monitoring equipment lacks comprehensiveness and accuracy, most systems do not take the power factor into consideration in the anomaly judgment, resulting in incorrect warnings still being issued when the accuracy of monitoring data is affected by insufficient power, causing interference to relevant decision-making and handling work; or when there is a real environmental anomaly, the warning is delayed due to the lack of consideration of the power problem, and corresponding measures cannot be taken in time. For example, when the power of the monitoring equipment is insufficient, the frequency and accuracy of data collected by the sensor may decrease, and the data fluctuations are likely to be misjudged as environmental anomalies. When the equipment power is normal but the environment does actually change abnormally, relevant personnel may not be notified in time due to the imperfect warning process.

[0064] Therefore, in the present invention, when the environmental anomaly degree is greater than the warning threshold, power analysis is performed on the time period from t1 to t2. By obtaining the voltage and current change curves of the battery unit, it is determined whether there is a situation of insufficient power, so as to be able to timely detect the monitoring data anomalies caused by power problems, avoid misjudging the data fluctuations caused by insufficient power as real environmental anomalies, and thus reduce unnecessary warning information and improve the accuracy and reliability of warnings. For example, when the battery power is low, the operation of the sensor may be affected, resulting in abnormal fluctuations in the monitoring data. If power analysis is not performed, an environmental anomaly warning may be wrongly issued, and this process can effectively avoid such situations.

[0065] Moreover, when it is judged that there may be insufficient power, the environmental monitoring data and the associated monitoring point data are further verified, and the judgment is made in combination with the historical difference reference value and the difference threshold. This multi-dimensional verification method comprehensively considers the environmental data differences between different monitoring points and the historical data rules, and can more comprehensively and accurately judge whether the abnormal situation is a misjudgment caused by insufficient power. If it is confirmed through verification that the misjudgment is caused by insufficient power, the early warning is abandoned, avoiding false warnings for the normal environmental state; if the factor of insufficient power is excluded or it cannot be determined as the main cause, an early warning instruction is generated in a timely manner to ensure that real environmental anomalies can be processed in a timely manner, further improving the early warning accuracy and effectiveness of the environmental monitoring system.

[0066] Calculate the data change amount of each micro-meteorological environment characteristic parameter The formula is: ; It can comprehensively consider the dispersion degree of the micro-meteorological environment characteristic parameter (i.e., the range) and the change trend over time (i.e., the change amount) to comprehensively measure the change of the parameter and provide a more accurate data basis for the judgment of environmental anomalies.

[0067] In the formula, 、 respectively represent the range and the change amount of the th micro-meteorological environment characteristic parameter; 、 are weight factors and the value range is [0, 1], ; The weight factors are obtained based on historical data analysis and can be flexibly adjusted according to different monitoring focuses and application scenarios because different micro-meteorological environment characteristic parameters have different importance in the judgment of environmental anomalies.

[0068] , 、 respectively represent the maximum value and the minimum value of the th micro-meteorological environment characteristic parameter in the time period from t1 to t2; The range can intuitively reflect the fluctuation range of the parameter in this time period and reflect the dispersion degree of the data; A larger range means a large change range of the parameter, and there may be unstable factors, which has important reference value for the judgment of environmental anomalies; For example, when monitoring the wind speed, a large range indicates that the wind speed changes violently in this time period, which may indicate that the weather condition is unstable and there is a possibility of environmental anomalies.

[0069] ; is the The curve of the micro-meteorological environment characteristic parameters changing with time. Calculate the change rate of each parameter with time, which reflects its change in unit time, can capture the dynamic change trend of the parameter, and understand the speed of environmental change; for example, if the temperature rises or drops rapidly in a short time, the change amount will be large, indicating that the environmental temperature change is abnormal and may affect the ecological system balance.

[0070] In the present invention, a formula for specifically calculating the change amount of the micro-meteorological environment characteristic parameter data is provided. , through the range and the change amount calculation and combined with the weight factor, it is possible to quantify the change of each parameter with time, thereby more accurately analyzing the dynamic change trend of the environmental parameters, timely discovering small but potentially significant environmental changes, providing more detailed data basis for environmental anomaly judgment, and improving the accuracy of environmental monitoring.

[0071] The process of analyzing the battery power for the time period from t1 to t2 is as follows:

[0072] Obtain the battery power data within the time period from t1 to t2, including the battery voltage and current change curves;

[0073] If the battery voltage is lower than the preset normal operating voltage threshold and the current change shows abnormal fluctuations, it is determined that there is a power shortage situation.

[0074] In the present invention, by obtaining the battery voltage and current change curves and judging whether the power is insufficient in combination with the preset normal operating voltage threshold, it is possible to more accurately identify the power supply state of the battery, timely discover the power shortage situation, avoid affecting the normal operation of the sensor and data acquisition unit due to power shortage, thereby ensuring the reliability and accuracy of the monitoring data, and providing a reliable data basis for subsequent environmental analysis and decision-making; when it is determined that there is a power shortage situation, the system can timely issue a prompt or warning message to remind the staff to take measures in time, such as replacing the battery, checking the self-powered unit, etc., which can prevent system failures caused by power problems in advance, reduce data loss and monitoring interruption, and ensure the continuity of environmental monitoring work.

[0075] The judgment process for abnormal fluctuations in current change is as follows:

[0076] Obtain the starting current value and ending current value corresponding to t1 and t2 respectively;

[0077] The current change value is calculated by the formula: Current change value = |End current value - Start current value|; Using the absolute value to calculate the current change value is to uniformly measure the amplitude of current increase or decrease without considering the direction of current change; Whether the current suddenly increases or decreases, it may have an adverse impact on the system. For example, a sudden increase in current may cause equipment overload, and a sudden decrease may affect the normal operation of the equipment. Therefore, only focusing on the absolute value of the change can more directly reflect the severity of the current change, facilitating subsequent comparison with the threshold to determine whether it is abnormal.

[0078] When the current change value > the current change threshold, it is determined that there is an abnormal fluctuation in the battery current change during the time period t1 to t2.

[0079] In the present invention, the simple and intuitive formula Current change value = |End current value - Start current value| is used to calculate the current change value, and it is compared with the current change threshold to determine whether there is an abnormal fluctuation in the current. It is easy to implement, can quickly and effectively identify abnormal conditions of the battery current, and helps to judge whether the working state of the battery is stable. Stable current output is the key to ensuring the normal operation of each part of the system. By monitoring the current fluctuation, potential power supply problems can be detected in a timely manner to ensure the stability of the system power supply; At the same time, timely detection of abnormal current fluctuations helps to avoid damage to the system hardware caused by unstable current. For example, excessive current fluctuations may burn out key components such as sensors and chips. By real-time monitoring of the current change and taking measures immediately once an abnormal fluctuation is found, such as cutting off the power supply or adjusting the power supply strategy, the system hardware can be effectively protected, the service life of the equipment can be extended, and the maintenance cost can be reduced.

[0080] The process of further verifying the environmental monitoring data and the associated monitoring point data includes:

[0081] Taking the current monitoring point as the center, other monitoring points within the coverage area with a preset range d as the radius are regarded as associated monitoring points;

[0082] Through the formula: The difference degree between the current monitoring point and the nearest associated monitoring point is calculated ; represents the difference degree reference value obtained based on historical data, represents the curve of the change of the th micro-meteorological environment characteristic parameter of the associated monitoring point over time; By calculating the difference degree, the difference situation between the current monitoring point and the associated monitoring point data can be quantified; If the difference degree is small and close to the difference degree reference value during historical power shortage, then it is more likely that the abnormal data of the current monitoring point is caused by power shortage rather than real environmental abnormality; On the contrary, if the difference degree is large and significantly different from the historical reference value, it indicates that there may be a real environmental abnormality or other factors affecting, which helps to improve the accuracy of judgment and avoid misjudgment.

[0083] When ≤ difference threshold it is determined that the misjudgment is caused by insufficient power.

[0084] In the present invention, taking the current monitoring point as the center, associated monitoring points within a preset range are selected for data comparison, and by calculating the difference degree and comparing it with the historical difference degree reference value to determine whether the misjudgment is caused by insufficient power. This method comprehensively considers the environmental data of surrounding monitoring points, effectively avoids misjudgments that may be caused by abnormal data of a single monitoring point, improves the accuracy of early warning, reduces interference from unnecessary early warning information, enables relevant personnel to more accurately judge environmental anomalies, and take corresponding measures in a timely manner; at the same time, by further verifying the data of associated monitoring points, the abnormal judgment mechanism is improved, enhancing the accuracy and reliability of the system's judgment of environmental anomalies; in complex environmental monitoring scenarios, the method of comparative analysis of multiple monitoring points can more comprehensively reflect environmental changes, effectively eliminate false judgments caused by local interference or equipment failures, improve the monitoring quality of the entire environmental monitoring system, and provide a more reliable basis for environmental research and protection.

[0085] It should be noted that: the calculation formulas and each parameter participating in the operation in the present invention have been pre-dimensionless processed, and the process of dimensionless processing is well-known in the industry and will not be described herein.

[0086] The above has described in detail one embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the patent coverage scope of the present invention.

Claims

1. An integrated self-powered environmental monitoring system, characterized in that: Environmental monitoring equipment is arranged according to preset monitoring points, and the environmental monitoring equipment includes: A self-powered unit that collects energy from the environment and converts it into electrical energy to power the entire system; Environmental element monitoring unit, used to monitor various micro-meteorological environmental characteristic parameters in real time and obtain micro-meteorological environmental data; The data acquisition unit performs data preprocessing on the micro-meteorological environment data as environmental monitoring data and stores it locally; The radio frequency / antenna unit is used to realize remote data transmission and interaction between the data acquisition unit and the remote management platform, send the processed environmental monitoring data to the remote management platform, and receive instructions from the remote management platform; A battery unit, used to store electrical energy and supply the data acquisition unit and the environmental factor monitoring unit; The remote management platform stores the environmental monitoring data in the database, and through the monitoring data analysis unit, first obtains the degree of environmental anomaly based on the environmental monitoring data through the environmental anomaly analysis model; then calculates the data change of each micro-meteorological environmental characteristic parameter; The results of comparing the comprehensive environmental abnormality, data change, preset warning threshold, and change reference value are combined with the results of power analysis to comprehensively judge whether there is an abnormality in the current environment. If there is an abnormality, an early warning instruction is generated in time and sent to the designated terminal.

2. The integrated self-powered environmental monitoring system according to claim 1, characterized in that: The micro-meteorological environment characteristic parameters include: atmospheric pressure, wind speed, precipitation, temperature, humidity and light intensity; The system further comprises: a power management unit, which is used to manage the electric energy input from the power supply unit, supply power to the battery unit and the data acquisition unit respectively according to the demand, and record the data of the battery unit.

3. The integrated self-powered environmental monitoring system according to claim 2, characterized in that: The working process of the monitoring data analysis unit includes: When the environmental abnormality is greater than the warning threshold, and the data change of at least one micro-meteorological environmental characteristic parameter exceeds the corresponding change reference value, it is judged that the current environment is abnormal and a warning is required; otherwise, it is judged that the current environment is not abnormal.

4. The integrated self-powered environmental monitoring system according to claim 3, characterized in that: The working process of the monitoring data analysis unit also includes: When it is determined that the current environment is abnormal, the current time is recorded as t2, and the starting time t1 is obtained by tracing back the preset period; Perform power analysis on the time period t1 to t2 to determine whether the monitoring abnormality is caused by insufficient power during the time period t1 to t2; If the power is insufficient, further check the environmental monitoring data and the data of the associated monitoring points; If it is confirmed that the misjudgment is caused by insufficient power, the warning will be abandoned; otherwise, a warning instruction will be immediately generated and sent to the designated terminal.

5. The integrated self-powered environmental monitoring system according to claim 4, characterized in that: Calculate the data change of each micro-meteorological environmental characteristic parameter The formula is: ; In the formula, , Respectively represent The range and variation of the characteristic parameters of micro-meteorological environment; , is the weight factor and its value range is [0, 1], , obtained based on historical data analysis; , , Respectively represent the first The maximum and minimum values ​​of the micro-meteorological environment characteristic parameters; ; For the Curves showing changes of micro-meteorological environment characteristic parameters over time.

6. The integrated self-powered environmental monitoring system according to claim 4, characterized in that: The process of power analysis for the time period t1 to t2 is as follows: Obtain the battery power data of the battery unit during the time period t1 to t2, including the battery voltage and current change curves; If the battery voltage is lower than the preset normal operating voltage threshold and the current changes show abnormal fluctuations, it is determined that there is a low battery condition.

7. The integrated self-powered environmental monitoring system according to claim 6, characterized in that: The judgment process of abnormal fluctuation of current change is as follows: Get the starting current value and ending current value corresponding to time t1 and t2 respectively; The current change value is calculated by the formula: current change value = |end current value - start current value|; When the current change value is greater than the current change threshold, it is determined that the battery current change in the time period t1 to t2 has abnormal fluctuations.

8. The integrated self-powered environmental monitoring system according to claim 5, characterized in that: The process of further verifying environmental monitoring data and associated monitoring point data includes: Taking the current monitoring point as the center, other monitoring points within the coverage area with a preset range d as the radius are taken as associated monitoring points; By formula: Calculate the difference between the current monitoring point and the nearest associated monitoring point ; Indicates the difference reference value based on historical data. Indicates the first Curves of changes of micro-meteorological environment characteristic parameters over time; when ≤Difference threshold When the battery is low, it is judged to be a misjudgment caused by insufficient power.

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